8 Predictive Analytics jobs in Ireland
Machine Learning Scientist
Cork, Munster
Proofpoint
Posted 9 days ago
Job Viewed
Job Description
It's fun to work in a company where people truly BELIEVE in what they're doing!
_We're committed to bringing passion and customer focus to the business._
Corporate Overview
Proofpoint is a leading cybersecurity company protecting organizations' greatest assets and biggest risks: vulnerabilities in people. With an integrated suite of cloud-based solutions, Proofpoint helps companies around the world stop targeted threats, safeguard their data, and make their users more resilient against cyber-attacks. Leading organizations of all sizes, including more than half of the Fortune 1000, rely on Proofpoint for people-centric security and compliance solutions mitigating their most critical risks across email, the cloud, social media, and the web.
We are singularly devoted to helping our customers protect their greatest assets and biggest security risk: their people. That's why we're a leader in next-generation cybersecurity.
Protection Starts with People. Proofpoint.
**The Role**
Proofpoint is looking for a Machine Learning Scientist to join the Algo team within the Tessian Business Unit. In this role, your key responsibility will be to analyse data, build ML models and improve algorithms at the core of our email threat detection engine that protects some of the largest businesses in the world. You will collaborate with Product and Engineering teams to identify and solve the most impactful problems applying state-of-the-art machine learning tools and techniques. You'll be surrounded by incredibly smart, talented and friendly colleagues. Engineers at Tessian love to learn from each other and pull together as a team to succeed.
*This is a Hybrid role; Cork or Belfast.
**Your day-to-day**
-Wrangle and draw meaningful insights from massive amounts of unstructured textual data using the latest tools and technologies like Spark, Iceberg, Athena, AWS SageMaker
-Apply unsupervised learning algorithms across billions of email interactions to identify emerging threat patterns
-Work with state-of-the-art machine learning models and techniques like encoder-decoder transformers, LLMs, anomaly detection as well as classical ML models to solve a multifaceted problem
-Engineer new features, train and deploy models to production using AWS SageMaker as the MLOps platform
-Adopt a data-driven approach to identify gaps in our detection algorithms and propose improvements to our models and algorithms
-Promote and drive ML best practices and cultivate an environment of experimentation and learning
-Stay up to date with the latest advancements in machine learning, AI technologies, and incorporate them into our solutions where applicable
**What you bring to the team**
Essential
-Experience contributing to multiple highly impactful machine learning projects with proven results
-Hands-on experience in the NLP domain involving training, fine-tuning and productionising transformer-based models for text classification / text-embeddings (experience with LLMs, generative AI is a plus)
-Experience monitoring and maintaining performance of models over time in production considering model/data drifts In-depth experience with one or more deep neural network frameworks (e.g. PyTorch, Tensorflow, JAX)
-A creative mindset, propensity to care deeply about the impact their team has and to encourage novel ways of critical thinking in their team
Good to have
-Conceptual understanding of Graph Neural Networks and experience applying GNNs to solve real world problem statements will be a plus
-Experience working on large imbalanced datasets, evaluating and selecting models that work well in production on imbalanced real-world data
Why Proofpoint
Protecting people is at the heart of our award-winning lineup of cybersecurity solutions, and the people who work here are the key to our success. We're a customer-focused and a driven-to-win organization with leading-edge products. We are an inclusive, diverse, multinational company that believes in culture fit, but more importantly 'culture-add', and we strongly encourage people from all walks of life to apply.
We believe in hiring the best and the brightest to help cultivate our culture of collaboration and appreciation. Apply today and explore your future at Proofpoint! #LifeAtProofpoint
#LI-Hybrid
_If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!_
Proofpoint has been honored with six Best Places to Work Awards in 2024 by workplace culture leader Comparably, including Best Company Career Growth, Best Company Outlook, Best Global Culture, Best Engineering Teams, Best Sales Teams, and Best HR Teams.
We are the leader in human-centric cybersecurity. Half a million customers, including 87 of the Fortune 100, rely on Proofpoint to protect their organizations. We're driven by a mission to stay ahead of bad actors and safeguard the digital world. Join us in our pursuit to defend data and protect people.
Our BRAVE Values:
At Proofpoint, we are BRAVE in everything we do, and our values aren't just words-they shape how we work, collaborate, and grow.
We seek people who are bold enough to challenge the status quo, responsive in the face of ever-evolving threats, and accountable for delivering real impact.
We value those with a visionary mindset who anticipate what's next and push cybersecurity forward, and we celebrate exceptional execution that ensures we continue to defend data and protect people.
Proofpoint is an equal opportunity employer, we hire without consideration to race, religion, creed, color, national origin, age, gender, sexual orientation, marital status, veteran status or disability.
Find your network, your allies, and your biggest fans. We know that work is simply better when you're surrounded by people who inspire you-who share ideas, cheer you on, and genuinely want to see you succeed. That's why we offer social circles, sponsored networks, and connection points across teams and time zones-to help you find your people, build your community, and thrive together.
This isn't just a job-it's a mission to protect people and defend data in a world that never slows down. We're building the future of human-centric cybersecurity, and that future belongs to all of us. We take ownership, move fast, and hold ourselves accountable-because that's what it takes to stay ahead. And we do it together, winning as one.
Be empowered to reach your full potential through meaningful challenges and personalized support-designed around you and your goals. Whether you're growing as a leader or leveling up from great to exceptional as an individual contributor, we're here to help you get there.
Proofpoint is an equal opportunity employer, we hire without consideration to race, religion, creed, color, national origin, age, gender, sexual orientation, marital status, veteran status or disability.
_We're committed to bringing passion and customer focus to the business._
Corporate Overview
Proofpoint is a leading cybersecurity company protecting organizations' greatest assets and biggest risks: vulnerabilities in people. With an integrated suite of cloud-based solutions, Proofpoint helps companies around the world stop targeted threats, safeguard their data, and make their users more resilient against cyber-attacks. Leading organizations of all sizes, including more than half of the Fortune 1000, rely on Proofpoint for people-centric security and compliance solutions mitigating their most critical risks across email, the cloud, social media, and the web.
We are singularly devoted to helping our customers protect their greatest assets and biggest security risk: their people. That's why we're a leader in next-generation cybersecurity.
Protection Starts with People. Proofpoint.
**The Role**
Proofpoint is looking for a Machine Learning Scientist to join the Algo team within the Tessian Business Unit. In this role, your key responsibility will be to analyse data, build ML models and improve algorithms at the core of our email threat detection engine that protects some of the largest businesses in the world. You will collaborate with Product and Engineering teams to identify and solve the most impactful problems applying state-of-the-art machine learning tools and techniques. You'll be surrounded by incredibly smart, talented and friendly colleagues. Engineers at Tessian love to learn from each other and pull together as a team to succeed.
*This is a Hybrid role; Cork or Belfast.
**Your day-to-day**
-Wrangle and draw meaningful insights from massive amounts of unstructured textual data using the latest tools and technologies like Spark, Iceberg, Athena, AWS SageMaker
-Apply unsupervised learning algorithms across billions of email interactions to identify emerging threat patterns
-Work with state-of-the-art machine learning models and techniques like encoder-decoder transformers, LLMs, anomaly detection as well as classical ML models to solve a multifaceted problem
-Engineer new features, train and deploy models to production using AWS SageMaker as the MLOps platform
-Adopt a data-driven approach to identify gaps in our detection algorithms and propose improvements to our models and algorithms
-Promote and drive ML best practices and cultivate an environment of experimentation and learning
-Stay up to date with the latest advancements in machine learning, AI technologies, and incorporate them into our solutions where applicable
**What you bring to the team**
Essential
-Experience contributing to multiple highly impactful machine learning projects with proven results
-Hands-on experience in the NLP domain involving training, fine-tuning and productionising transformer-based models for text classification / text-embeddings (experience with LLMs, generative AI is a plus)
-Experience monitoring and maintaining performance of models over time in production considering model/data drifts In-depth experience with one or more deep neural network frameworks (e.g. PyTorch, Tensorflow, JAX)
-A creative mindset, propensity to care deeply about the impact their team has and to encourage novel ways of critical thinking in their team
Good to have
-Conceptual understanding of Graph Neural Networks and experience applying GNNs to solve real world problem statements will be a plus
-Experience working on large imbalanced datasets, evaluating and selecting models that work well in production on imbalanced real-world data
Why Proofpoint
Protecting people is at the heart of our award-winning lineup of cybersecurity solutions, and the people who work here are the key to our success. We're a customer-focused and a driven-to-win organization with leading-edge products. We are an inclusive, diverse, multinational company that believes in culture fit, but more importantly 'culture-add', and we strongly encourage people from all walks of life to apply.
We believe in hiring the best and the brightest to help cultivate our culture of collaboration and appreciation. Apply today and explore your future at Proofpoint! #LifeAtProofpoint
#LI-Hybrid
_If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!_
Proofpoint has been honored with six Best Places to Work Awards in 2024 by workplace culture leader Comparably, including Best Company Career Growth, Best Company Outlook, Best Global Culture, Best Engineering Teams, Best Sales Teams, and Best HR Teams.
We are the leader in human-centric cybersecurity. Half a million customers, including 87 of the Fortune 100, rely on Proofpoint to protect their organizations. We're driven by a mission to stay ahead of bad actors and safeguard the digital world. Join us in our pursuit to defend data and protect people.
Our BRAVE Values:
At Proofpoint, we are BRAVE in everything we do, and our values aren't just words-they shape how we work, collaborate, and grow.
We seek people who are bold enough to challenge the status quo, responsive in the face of ever-evolving threats, and accountable for delivering real impact.
We value those with a visionary mindset who anticipate what's next and push cybersecurity forward, and we celebrate exceptional execution that ensures we continue to defend data and protect people.
Proofpoint is an equal opportunity employer, we hire without consideration to race, religion, creed, color, national origin, age, gender, sexual orientation, marital status, veteran status or disability.
Find your network, your allies, and your biggest fans. We know that work is simply better when you're surrounded by people who inspire you-who share ideas, cheer you on, and genuinely want to see you succeed. That's why we offer social circles, sponsored networks, and connection points across teams and time zones-to help you find your people, build your community, and thrive together.
This isn't just a job-it's a mission to protect people and defend data in a world that never slows down. We're building the future of human-centric cybersecurity, and that future belongs to all of us. We take ownership, move fast, and hold ourselves accountable-because that's what it takes to stay ahead. And we do it together, winning as one.
Be empowered to reach your full potential through meaningful challenges and personalized support-designed around you and your goals. Whether you're growing as a leader or leveling up from great to exceptional as an individual contributor, we're here to help you get there.
Proofpoint is an equal opportunity employer, we hire without consideration to race, religion, creed, color, national origin, age, gender, sexual orientation, marital status, veteran status or disability.
This advertiser has chosen not to accept applicants from your region.
0
Machine Learning Engineer
Galway, Connacht
CVS Health Ireland
Posted today
Job Viewed
Job Description
CVS Health, the parent company of Signify Health, is increasing investments in digital, data, analytics and technology and Signify Health is excited to be involved! We are hiring for a dynamic new initiative for CVS Health that will run out of our state-of-the-art offices at Bonham Quay. This is your opportunity to be involved with a pioneering business that is transforming health care in the United States by making customer experiences more seamless, convenient and personalised. CVS Health is focused on driving business agility and growth through technology, data, digital and experiential innovations. 'Digital First, Technology Forward and Data Driven' is not simply an aspirational goal for the company, but a prerequisite to accelerated growth. Bring your heart to CVS Health. Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand - with heart at its center - our purpose sends a personal message that how we deliver our services is just as important as what we deliver. Our Heart At Work Behaviors support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable. As we reflect on our learnings and successes from remote work, we aim to provide a new state of the art flexible work environment in our Galway facility at Bonham Quay to support those objectives. Careers with offer flexible work arrangements and individuals who live and work in the Republic of Ireland will have the opportunity to divide their time between our Galway office and their home office. Position Summary The ML Engineer, part of the broader Retail Analytics Engineering department, supports the Price Value & Assortment Analytics organization in the development of AI/ML driven analytical solutions at scale. The ML Engineer will actively collaborate with Data Scientists to successfully optimize, and scale complex ML models & optimizer solvers that enable highly dynamic & sophisticated pricing and promotion strategies. The incumbent in this role will have the opportunity to work on challenging business problems leveraging cutting-edge technologies including Big Data, Distributed Computing, and Machine learning. Key job duties include: Partner with data scientists to train, optimize, scale and support AI/ML models. Translating functionality into scalable, tested, and configurable platform architecture and software. Ensure models are integrated into production systems with high reliability and performance. Design and conduct experiments to evaluate the performance of machine learning models. Iterate on models based on feedback and evolving business requirements. Build frameworks, reusable modules, and author best practices and standards to enable self-serve capabilities that enable data scientists to deploy solutions quickly and efficiently. Required Qualifications: 3+ years professional experience in implementing ML and Data Engineering at scale. 3+ years of experience with Python & SQL programming language. 3+ years' experience with working in Dev/ML Ops model and industry deployment best practices using CI/CD tools and infrastructure as a code (e.g., Jenkins, Docker, Kubernetes). 3+ years of experience in building cloud native analytical solutions, either on Azure or GCP. 1+ years designing, implementing, and optimizing machine learning algorithms and models using open-source machine learning frameworks such as TensorFlow, PyTorch, and XGBoost. 1+ years' experience in end-to-end ML implementation lifecycle including feature engineering, training, inference, model drift measurement, and model observability. 1+ years' experience in building data engineering pipelines, and metric aggregation layers. Preferred Qualifications: Experience working in Retail domain with a strong functional understanding of product pricing and promotion strategies is a plus. Experience in Google Cloud platform including Big Query, Vertex AI. Hands-on experience working in scalable distributed computation frameworks like Spark or Dask. Expertise with working with open-source ML platforms & toolsets such as Kubeflow, Airflow and Feast is preferred. Experience in deploying supervised machine learning, time series modeling, CNNs, ensemble models. Exposure to deploying ML optimization models such as Pyomo/ IPOPT. Exposure in implementing Gen AI and/or NLP based solutions using LLMs. Education: Bachelor's degree in computer science or equivalent. Master's degree preferred. To Apply Please forward your CV via the APPLY Now button below.
This advertiser has chosen not to accept applicants from your region.
1
Senior Machine Learning Engineer
Galway, Connacht
Reperio Human Capital Ltd
Posted 4 days ago
Job Viewed
Job Description
Senior Machine Learning Engineer Location: Galway Salary: € Hybrid Reperio are working with a large fintech company who are seeking a Senior ML Engineer to join their ever-expanding team. The successful candidate will play a crucial role in designing developing and deploying scalable ML models in production environments. You will lead the end-to-end ML lifecycle, from data preparation, model, evaluation, deployment and monitoring. Requirements: 5+ years of experience in ML engineering, data science, or applied machine learning roles Strong proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn) Solid understanding of computer science fundamentals (algorithms, data structures, software design) Experience with ML Ops tools and cloud platforms (e.g., AWS SageMaker, GCP Vertex AI, MLflow, Docker/Kubernetes) Proven track record of deploying ML models into production Excellent problem-solving, communication, and collaboration skills Nice to Have: Experience with LLMs, deep learning, or NLP systems Familiarity with big data technologies (Spark, Hadoop, etc.) Benefits: Pension Healthcare Bonus Excellent career progression opportunities Flexible hybrid working model with remote options available If this role as a Senior ML Engineer interests and suits you, then apply using the link below. If you require any further information, get in touch with Jamie Sadlier at Reperio. Reperio Human Capital acts as an Employment Agency and an Employment Business. Skills: Senior ML Engineer Python MLOps LLMs Galway Hybrid Benefits: Work From Home
This advertiser has chosen not to accept applicants from your region.
2
Machine Learning Engineer - PyTorch/C++ Development (NPU Architecture Team)
Cork, Munster
Qualcomm
Posted 9 days ago
Job Viewed
Job Description
**Company:**
QT Technologies Ireland Limited
**Job Area:**
Engineering Group, Engineering Group > ASICS Engineering
**General Summary:**
**About Qualcomm:** Qualcomm is a leader in wireless innovation, shaping the future of connected devices. Our cutting-edge technologies power billions of products worldwide, and our low-power Machine Learning (ML) solutions set the standard for efficiency and scalability.
**Role Overview:** Join Qualcomm's NPU Architecture team as a Machine Learning Engineer specializing in PyTorch/C++ development. In this role, you will create and optimize critical technologies for our compiler, quantization processes, ML workloads, and performance optimizations. You will also collaborate directly with strategic customers to deliver impactful solutions, shaping the future of energy-efficient ML technology. Your work will empower the world's lowest-power ML solution, deployed in more devices globally than any other.
**Key Responsibilities:**
+ Develop and enhance ML compilers using PyTorch and C++ tailored for Qualcomm's Neural Processing Unit (NPU) architecture.
+ Design and implement advanced quantization techniques to improve model efficiency and accuracy.
+ Optimize ML workloads for deployment across diverse devices, ensuring top-tier performance and energy efficiency.
+ Work directly with strategic customers to address specific challenges and deliver tailored ML solutions.
+ Collaborate with architecture and software engineering teams to integrate cutting-edge ML technologies into Qualcomm platforms.
+ Research, prototype, and implement innovative solutions in ML compiler design and system-level optimizations.
+ Evaluate and debug ML performance to identify and resolve bottlenecks in complex workflows.
+ Create thorough technical documentation to share knowledge and advancements with the team.
**Minimum Qualifications:**
- Bachelor's degree in Science, Engineering, or related field and 2+ years of ASIC design, verification, validation, integration, or related work experience.
OR
Master's degree in Science, Engineering, or related field and 1+ year of ASIC design, verification, validation, integration, or related work experience.
OR
PhD in Science, Engineering, or related field.
**Qualifications:**
+ Bachelor's or advanced degree in Computer Science, Electrical Engineering, Machine Learning, or a related discipline.
+ Strong expertise in PyTorch and C++ programming.
+ Experience with ML workload analysis, compiler development, and quantization techniques.
+ Familiarity with deep learning frameworks such as TensorFlow or ONNX is a plus.
+ Proven track record of solving complex performance and efficiency challenges in hardware-aware ML solutions.
+ Ability to work collaboratively with strategic customers and deliver impactful results.
+ Excellent analytical skills and ability to thrive in a high-performance team environment.
**Preferred Qualifications:**
+ Experience with ML model deployment on hardware accelerators such as GPUs, TPUs, or NPUs.
+ Understanding of system-level architecture and low-level programming.
+ Contributions to ML research or publications in relevant fields are an advantage.
**Why Join Qualcomm?** At Qualcomm, you'll be part of an innovative team that drives impactful advancements in ML technology. As a member of the NPU Architecture team, you'll work directly with strategic customers to create customized solutions while shaping the future of energy-efficient ML. Your contributions will support technology that powers more devices worldwide than any other ML solution.
*References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail or call Qualcomm's toll-free number found here ( . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
**To all Staffing and Recruiting Agencies** : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
If you would like more information about this role, please contact Qualcomm Careers ( .
EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification
QT Technologies Ireland Limited
**Job Area:**
Engineering Group, Engineering Group > ASICS Engineering
**General Summary:**
**About Qualcomm:** Qualcomm is a leader in wireless innovation, shaping the future of connected devices. Our cutting-edge technologies power billions of products worldwide, and our low-power Machine Learning (ML) solutions set the standard for efficiency and scalability.
**Role Overview:** Join Qualcomm's NPU Architecture team as a Machine Learning Engineer specializing in PyTorch/C++ development. In this role, you will create and optimize critical technologies for our compiler, quantization processes, ML workloads, and performance optimizations. You will also collaborate directly with strategic customers to deliver impactful solutions, shaping the future of energy-efficient ML technology. Your work will empower the world's lowest-power ML solution, deployed in more devices globally than any other.
**Key Responsibilities:**
+ Develop and enhance ML compilers using PyTorch and C++ tailored for Qualcomm's Neural Processing Unit (NPU) architecture.
+ Design and implement advanced quantization techniques to improve model efficiency and accuracy.
+ Optimize ML workloads for deployment across diverse devices, ensuring top-tier performance and energy efficiency.
+ Work directly with strategic customers to address specific challenges and deliver tailored ML solutions.
+ Collaborate with architecture and software engineering teams to integrate cutting-edge ML technologies into Qualcomm platforms.
+ Research, prototype, and implement innovative solutions in ML compiler design and system-level optimizations.
+ Evaluate and debug ML performance to identify and resolve bottlenecks in complex workflows.
+ Create thorough technical documentation to share knowledge and advancements with the team.
**Minimum Qualifications:**
- Bachelor's degree in Science, Engineering, or related field and 2+ years of ASIC design, verification, validation, integration, or related work experience.
OR
Master's degree in Science, Engineering, or related field and 1+ year of ASIC design, verification, validation, integration, or related work experience.
OR
PhD in Science, Engineering, or related field.
**Qualifications:**
+ Bachelor's or advanced degree in Computer Science, Electrical Engineering, Machine Learning, or a related discipline.
+ Strong expertise in PyTorch and C++ programming.
+ Experience with ML workload analysis, compiler development, and quantization techniques.
+ Familiarity with deep learning frameworks such as TensorFlow or ONNX is a plus.
+ Proven track record of solving complex performance and efficiency challenges in hardware-aware ML solutions.
+ Ability to work collaboratively with strategic customers and deliver impactful results.
+ Excellent analytical skills and ability to thrive in a high-performance team environment.
**Preferred Qualifications:**
+ Experience with ML model deployment on hardware accelerators such as GPUs, TPUs, or NPUs.
+ Understanding of system-level architecture and low-level programming.
+ Contributions to ML research or publications in relevant fields are an advantage.
**Why Join Qualcomm?** At Qualcomm, you'll be part of an innovative team that drives impactful advancements in ML technology. As a member of the NPU Architecture team, you'll work directly with strategic customers to create customized solutions while shaping the future of energy-efficient ML. Your contributions will support technology that powers more devices worldwide than any other ML solution.
*References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail or call Qualcomm's toll-free number found here ( . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
**To all Staffing and Recruiting Agencies** : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
If you would like more information about this role, please contact Qualcomm Careers ( .
EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification
This advertiser has chosen not to accept applicants from your region.
3
Lecturer in AI and Machine Learning for Life Science
Dublin, Leinster
Royal College of Surgeons (RCSI)
Posted 8 days ago
Job Viewed
Job Description
Job Title: Lecturer in AI and Machine Learning for Life Science Department: School of Pharmacy and Biomolecular Sciences Reporting to: Head of School or nominee Location: 123 St. Stephens Green, Dublin 2 Contract/Duration: Full-time, Permanent Closing Date: 22nd July, 2025 Objective of this post are to: Design, deliver and continuously improve undergraduate and postgraduate teaching that integrates AI/ML theory with practical applications in biomedical science, including but not limited to our BSc 'Advanced Therapeutic Technologies' and MSc 'Technologies and Analytics in Precision Medicine'. Bring practical, real-world AI/ML experience from working directly with clinical, biomedical, pharmaceutical, or life science data - for example, multi-omics, medical imaging, health records, digital biomarkers, or clinical trials. Sustain an internationally competitive, interdisciplinary research programme applying advanced AI/ML to challenges in human health and the life sciences. Proactively seek funding and build research partnerships with clinical teams, biopharma, digital health start-ups, or public health bodies. Specific Responsibilities include: Teaching : Preparation, delivery and assessment in the broad curricular areas of Machine Learning/Artificial Intelligence in Health, on our undergraduate and post-graduate programmes, as required, ensuring at all times that teaching material is innovative, up-to-date and in line with international best practice, Demonstrate a student-centred approach to all duties to ensure optimal educational outcomes. Lead development of innovative modules that apply AI/ML techniques to real datasets from genomics, clinical trials, or medical imaging. Incorporate ethical and explainable AI practices relevant to life sciences research. Participate in cross-functional teams to design and deliver academic programmes. Contribute to the quality assurance/quality improvement and accreditation of all programmes delivered in the School. Participate in the delivery of our teaching learning, assessment and feedback strategy including the effective use of technology-enhanced learning. Maintain and develop the School's relationship with clinical and industrial teaching/placement sites (as appropriate). Research : Engage in internationally competitive innovative research and knowledge transfer activities in the area of Artificial Intelligence/machine learning in Health, aligned to designated areas of priority for the School and the College. Actively seek funding to support these, either independently or as part of a team, and generate high impact research outputs consistent with expectations at this level. Contribute to and support ongoing academic and industry-based research collaborations within the School, nationally and internationally. Supervise undergraduate and postgraduate research projects across the School of Pharmacy and Biomolecular Sciences. Contribute to School thesis review committees as required. Service : Comply with statutory legislation and departmental rules and requirements in furtherance of your own, staff and student welfare and safety. Competent discharge of academic administrative duties and engagement across the School and Faculty of Medicine and Health Sciences, in aspects such as attendance at examination boards, team meetings, interviewing prospective students, attendance at Open Days, outreach events etc. Support activities to realise RCSI's vision in embedding AI and digital health in education and research practices Promote the best interests of RCSI at all times, enhancing the School's reputation in both research and education. Support students through student centered initiatives, such as personal tutoring/mentoring, and other initiatives, as appropriate. Foster and supporting links with national and international academic partners. Perform such other duties as may be required from time to time. Qualifications - (Essential): Has a PhD degree or equivalent in Machine Learning/Artificial Intelligence, Computational Biology, Computer Science or related area Has clear evidence of applying advanced AI/ML methods in life sciences, biomedical research, or clinical domains. Experience with large-scale health or biomedical data (e.g. genomics, proteomics, imaging, EHR) and relevant statistical modelling. Knowledge & Experience - (Essential): Has clear and demonstrable experience in the delivery of teaching at undergraduate and postgraduate levels in Artificial Intelligence Has a teaching related qualification (desired) Has a sustained track record of both senior authorship of papers in high quality peer-reviewed journals and of securing competitive grant funding in areas related to Artificial Intelligence Has experience of supervising undergraduate and postgraduate research students Can function effectively within a team, using clear and effective communication. Requires minimum direction to effectively deliver on assigned functions, and demonstrates a positive, student-centred and solution focused approach to addressing challenges and ambiguity. Has flexibility to work irregular hours on occasion. We are all too aware that imposter syndrome and the confidence gap can sometimes stop fantastic candidates putting themselves forward, so please do submit an application. Application Process Please apply online through the RCSI careers portal on the closing date with your CV and cover letter. Informal Enquiries can be directed to Dr. Sudipto Das (Vice Dean for AI and digital, connected health): . Please note we do not accept CVs directly.
This advertiser has chosen not to accept applicants from your region.
4
Data Science / Engineering Manager
Mulhuddart, Leinster
IBM
Posted today
Job Viewed
Job Description
**Introduction**
Apptio, an IBM Company, is seeking a Data Science & Engineering Manager to lead a talented, cross-functional team of data scientists and software engineers focused on integrating advanced AI and machine learning capabilities into Apptio's flagship FinOps and Technology Business Management (TBM) products.
In this role, you'll provide both technical leadership and strategic direction, ensuring your team delivers innovative, production-grade AI features that help global enterprises optimize their cloud and IT investments. You'll act as a bridge between data science, software engineering, and product management-driving execution while fostering a collaborative, high-performance culture.
**Your role and responsibilities**
* Lead, mentor, and grow a multidisciplinary team of data scientists, ML engineers, and software developers
* Define technical direction, set priorities, and drive successful execution of AI/ML projects within the product suite
* Collaborate with product and design teams to shape intelligent, customer-focused solutions
* Oversee the full AI/ML development lifecycle, from research and prototyping to scalable deployment and monitoring
* Promote best practices in machine learning engineering, MLOps, and cloud-native software development
* Foster a culture of innovation, ownership, and continuous improvement
* Communicate strategy, progress, and impact to stakeholders across the organization
**Required technical and professional expertise**
* Demonstrated experience in data science, software engineering, or applied ML, with at least 2 years in a technical leadership or management role
* Proven experience delivering AI/ML-powered features in a production environment
* Strong technical foundation in machine learning, data architecture, and software engineering
* Proficiency in programming languages such as Python, Java, or Go, and hands-on experience with cloud platforms (AWS, Azure, or GCP)
* Experience managing cross-functional teams and collaborating across engineering, data, and product functions
* Excellent communication and organizational skills
**Preferred technical and professional experience**
* Experience with FinOps, IT financial management, or tools such as ApptioOne, Cloudability, or Targetprocess
* Familiarity with MLOps tools and practices (e.g., MLflow, SageMaker, Airflow, Kubernetes)
* Exposure to generative AI or large language models (LLMs) in enterprise applications
* Track record of building high-performing teams and scaling data science efforts in a SaaS environment
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
Apptio, an IBM Company, is seeking a Data Science & Engineering Manager to lead a talented, cross-functional team of data scientists and software engineers focused on integrating advanced AI and machine learning capabilities into Apptio's flagship FinOps and Technology Business Management (TBM) products.
In this role, you'll provide both technical leadership and strategic direction, ensuring your team delivers innovative, production-grade AI features that help global enterprises optimize their cloud and IT investments. You'll act as a bridge between data science, software engineering, and product management-driving execution while fostering a collaborative, high-performance culture.
**Your role and responsibilities**
* Lead, mentor, and grow a multidisciplinary team of data scientists, ML engineers, and software developers
* Define technical direction, set priorities, and drive successful execution of AI/ML projects within the product suite
* Collaborate with product and design teams to shape intelligent, customer-focused solutions
* Oversee the full AI/ML development lifecycle, from research and prototyping to scalable deployment and monitoring
* Promote best practices in machine learning engineering, MLOps, and cloud-native software development
* Foster a culture of innovation, ownership, and continuous improvement
* Communicate strategy, progress, and impact to stakeholders across the organization
**Required technical and professional expertise**
* Demonstrated experience in data science, software engineering, or applied ML, with at least 2 years in a technical leadership or management role
* Proven experience delivering AI/ML-powered features in a production environment
* Strong technical foundation in machine learning, data architecture, and software engineering
* Proficiency in programming languages such as Python, Java, or Go, and hands-on experience with cloud platforms (AWS, Azure, or GCP)
* Experience managing cross-functional teams and collaborating across engineering, data, and product functions
* Excellent communication and organizational skills
**Preferred technical and professional experience**
* Experience with FinOps, IT financial management, or tools such as ApptioOne, Cloudability, or Targetprocess
* Familiarity with MLOps tools and practices (e.g., MLflow, SageMaker, Airflow, Kubernetes)
* Exposure to generative AI or large language models (LLMs) in enterprise applications
* Track record of building high-performing teams and scaling data science efforts in a SaaS environment
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
This advertiser has chosen not to accept applicants from your region.
5
Global Head of Data Science and Visualisation
Dublin, Leinster
Marsh McLennan
Posted 19 days ago
Job Viewed
Job Description
Are you ready to lead a transformative journey in data storytelling? We are seeking a leader for a new role as Head of Data Science and Visualisation. A pivotal position that will shape our organization's approach to data-driven decision-making. In this role, you will establish and execute a groundbreaking strategy that emphasizes the art of data storytelling, enabling us to harness the power of data to drive insights and innovation across the globe. As the Head of Data Science and Visualisation, you will be at the forefront of our Data Science and Business Intelligence functions, guiding a talented team of professionals dedicated to uncovering the stories hidden within our data. Your leadership will not only influence our internal processes but will also advocate for the value of data-driven insights at all levels of the organization. You will collaborate with senior leadership and key stakeholders to identify opportunities where data science or visualizations can create significant value, ensuring that our initiatives align with our overarching business objectives. If you are a strategic thinker with a passion for data, a commitment to ethical AI practices, and a desire to foster a culture of continuous learning and innovation, we invite you to explore this exciting opportunity. Join us in our mission to elevate our data capabilities and drive impactful change through the power of storytelling. What can you expect: To join our Data, Analytics and AI Team on a journey to become a high-performance team that enables Mercer to unlock increasing value from its data through analytics and AI. To be supported by a strong team of experts in Data Engineering, Architecture, Analysis, and Project Delivery who will work with you collaboratively to achieve the goals of your team. The ability to shape this new capability for the organization. We will rely on you to: Lead strategically - guide and mentor a diverse team of 25 data scientists and business intelligence specialists, promoting professional development and encouraging ongoing learning and innovation. Leverage data in decisions - advocate for the value of data-driven insights across all levels of the organization including how you manage your team. Be a thought leader - explain the capabilities of your team to the broader organization and enable the art of the possible. Collaborate across functions - engage senior leadership and key stakeholders to identify business challenges and opportunities where data can drive value and with IT, operations, product and other departments to ensure seamless integration of data initiatives into business processes and systems. Innovate and define best practices - develop and execute a comprehensive MLOps strategy including model creation (classical ML, Fine-tuning LLM or Distillation), evaluation, and deployment, that aligns with the organization's overall business objectives and enhances decision-making capabilities. Promote ethical AI usage - Abide by and champion enterprise frameworks to ensure AI compliance with relevant regulations. What you need to have Strategic Leadership skills to guide and inspire a newly forming team and exert influence across the organisation. Must have experience running a data science team that has been able to deliver AI solutions to production. Hands on delivery experience at a senior level comfortable operating across multiple business lines and varying tech stacks. Experience working with and managing Business Intelligence platforms. What makes you stand out: Significant experience of a wide range of data roles is desirable, ideally with responsibility for the outcomes delivered through the data. Experience delivering solutions on our data technology stack (AWS, Databricks, ChatGPT, Power BI) . Having used data to drive transformation. Experience scaling a new team to deliver data solutions. Familiarity with one or more of our business domains (Health, Wealth and Career). Why join our team: We help you be your best through professional development opportunities, interesting work and supportive leaders. We foster a vibrant and inclusive culture where you can collaborate with talented colleagues to create new solutions and have impact for colleagues, clients and communities. Our scale enables us to provide a range of career opportunities. Marsh McLennan (NYSE: MMC) is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit or follow on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, Traveller community, or any other characteristic protected by applicable law. We are an equal opportunities employer. We are committed to providing reasonable support to any candidate with a disability/health condition to allow them to fully participate in the recruitment process. We welcome candidates to contact us at to discuss any specific needs. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one "anchor day" per week on which their full team will be together in person. To be considered for this role you will be redirected to and must complete the application process on our careers page. To start the process, click the Apply button below to Login/Register.
This advertiser has chosen not to accept applicants from your region.
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