10 AI Algorithms jobs in Ireland

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. 

In healthcare, evolution doesn’t just happen. It takes innovation, imagination, and a passion for solving problems in new and better ways. And innovation is taking place at a lightning-fast pace every day at Optum. 
As the fastest growing part of the UnitedHealth Group family of businesses, we’re expanding our team in Ireland and creating excellent opportunities for those who want greater purpose and more impact in their work. We’ll provide the investment, support, and resources to advance your career. You’ll provide the talent, ambition, and drive.

Todays' RCM is inherently complex due to opaque and payer-specific adjudication rules, incurring significant waste and inefficiency. Optum Insight is committed to delivering new technology and processes to improve the Revenue Cycle Management (RCM) workflow using advances in Gen AI and other state-of-the-art technology that would ultimately benefit all stakeholders involved in the healthcare ecosystem — payers, providers, and patients.

We are looking for a Senior Data Scientist – AI/Deep Learning to enhance our capacity to develop new analytic products. As a key member of the Data Science Team, you will be part of UnitedHealth Group's mission of helping people live healthier lives. You will work with other Data Scientists and subject matter experts to conduct and manage outcomes of various analytic studies. As part of this team, you will be empowered to analyze data, create solutions and build production-ready models. Join us! There's never been a better time to do your life's best work

This position will report to the Director Data Science in Ireland and will support the development of an exciting new product which will form part of the OptumInsight product suite. The position will work in partnership with a diverse analytic peer group in Ireland, while building strong relationships with US-based AI/ML experts. 

Careers with Optum offer flexible work arrangements and individuals who live and work in the Republic of Ireland will have the opportunity to split their monthly work hours between our Dublin or Letterkenny offices and telecommuting from a home-based office in a hybrid work model. 

Primary Responsibilities:  

• Analyze, review and interpret complex data through the development of case-studies, enabling the data to tell a story
• Build and maintain production-ready machine-learning models
• Identify drivers of patterns / behaviors uncovered in data and use these to explain business trends
• Contribute to the design and realization of analytical based tools/assets to identify and monitor non-standard claim patterns
• Engage with subject-matter experts to explore business problems and design solutions
• Present analysis and interpretation for both operational and business review and planning
• Support short and long term operational and strategic business activities through the use of data and develop recommended business solutions through research, analysis and implement when appropriate

You will be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role, as well as providing development for other roles you may be interested in.

Required Qualifications:

• Master's degree in Statistics, Physics, Mathematics, Engineering or similar analytic domain with a significant quantitative aspect
• Proficiency in AI/ML and  deep learning frameworks such us PyTorch
• Proven track record of developing and deploying machine learning models in production environments

Soft Skills:

• Natural curiosity to learn more, dig into details, and understand the key drivers of emerging trends and challenges 

Please note you must currently be eligible to work and remain indefinitely without any restrictions in the country to which you are making an application. Proof will be required to support your application.

All telecommuters will be required to adhere to the UnitedHealth Group’s Telecommuter Policy.

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race, gender, sexuality, age, location and income–deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission.

 

 

Diversity creates a healthier atmosphere: Optum is an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to gender, civil status, family status, sexual orientation, disability, religion, age, race, and membership of the Traveler community, or any other characteristic protected by law. Optum is a drug-free workplace. © 2024 Optum Services (Ireland) Limited. All rights reserved.

 

 

#RPO #BBMRTS

 

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together.
In healthcare, evolution doesn't just happen. It takes innovation, imagination, and a passion for solving problems in new and better ways. And innovation is taking place at a lightning-fast pace every day at Optum.
As the fastest growing part of the UnitedHealth Group family of businesses, we're expanding our team in Ireland and creating excellent opportunities for those who want greater purpose and more impact in their work. We'll provide the investment, support, and resources to advance your career. You'll provide the talent, ambition, and drive.
Todays' RCM is inherently complex due to opaque and payer-specific adjudication rules, incurring significant waste and inefficiency. Optum Insight is committed to delivering new technology and processes to improve the Revenue Cycle Management (RCM) workflow using advances in Gen AI and other state-of-the-art technology that would ultimately benefit all stakeholders involved in the healthcare ecosystem - payers, providers, and patients.
We are looking for a **Senior Data Scientist - AI/Deep Learning** to enhance our capacity to develop new analytic products. As a key member of the Data Science Team, you will be part of UnitedHealth Group's mission of helping people live healthier lives. You will work with other Data Scientists and subject matter experts to conduct and manage outcomes of various analytic studies. As part of this team, you will be empowered to analyze data, create solutions and build production-ready models. Join us! There's never been a better time to do your life's best work
This position will report to the Director Data Science in Ireland and will support the development of an exciting new product which will form part of the OptumInsight product suite. The position will work in partnership with a diverse analytic peer group in Ireland, while building strong relationships with US-based AI/ML experts.
_Careers with Optum offer flexible work arrangements and individuals who live and work in the Republic of Ireland will have the opportunity to split their monthly work hours between our Dublin or Letterkenny offices and telecommuting from a home-based office in a hybrid work model._
**Primary Responsibilities:**
+ Analyze, review and interpret complex data through the development of case-studies, enabling the data to tell a story
+ Build and maintain production-ready machine-learning models
+ Identify drivers of patterns / behaviors uncovered in data and use these to explain business trends
+ Contribute to the design and realization of analytical based tools/assets to identify and monitor non-standard claim patterns
+ Engage with subject-matter experts to explore business problems and design solutions
+ Present analysis and interpretation for both operational and business review and planning
+ Support short and long term operational and strategic business activities through the use of data and develop recommended business solutions through research, analysis and implement when appropriate
You will be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role, as well as providing development for other roles you may be interested in.
**Required Qualifications:**
+ Master's degree in Statistics, Physics, Mathematics, Engineering or similar analytic domain with a significant quantitative aspect
+ Proficiency in AI/ML anddeep learning frameworks such us PyTorch
+ Proven track record of developing and deploying machine learning models in production environments
**Soft Skills:**
+ Natural curiosity to learn more, dig into details, and understand the key drivers of emerging trends and challenges
**Please note you must currently be eligible to work and remain indefinitely without any restrictions in the country to which you are making an application. Proof will be required to support your application.**
All telecommuters will be required to adhere to the UnitedHealth Group's Telecommuter Policy.
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.
Diversity creates a healthier atmosphere: Optum is an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to gender, civil status, family status, sexual orientation, disability, religion, age, race, and membership of the Traveler community, or any other characteristic protected by law. Optum is a drug-free workplace. © 2024 Optum Services (Ireland) Limited. All rights reserved.
#RPO #BBMRTS

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.

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.

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

**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

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.

Job Family: Software Req ID: 469976 About Us: Siemens Digital Industries Software (DI SW) is a division of Siemens that focuses on providing cutting-edge software solutions to help industries digitally transform their operations. Here are some key aspects: - Siemens Xcelerator Portfolio: This includes integrated software and services for electronic and mechanical design, system simulation, manufacturing, operations, and lifecycle analytics. - Digital Twin Technology: Siemens DI SW offers tools to create digital replicas of products or systems, enabling better design, simulation, and optimization. - Industry Applications: Their solutions cater to a wide range of industries, including automotive, aerospace, electronics, medical devices, and more. - Lifecycle Management: Tools like Teamcenter help manage the entire lifecycle of a product, from concept to completion. - Sustainability and Innovation: Siemens DI SW emphasizes sustainable business growth and innovation through its comprehensive digital solutions. Job Summary: The Artificial Intelligence (AI) Security Engineer will be responsible for leading the development and implementation of security strategies for our artificial intelligence (AI) systems. In this role, you will design and deploy robust security measures to protect AI models, data, and infrastructure from cyber threats, adversarial attacks, and vulnerabilities. You will collaborate with AI researchers, software engineers, and security teams to ensure the integrity, confidentiality, and availability of AI-driven solutions. You will then implement these principles in the deployment of our internally developed AI Solutions for Security helping us to understand data better through pattern recognition and neural networks. Developing solutions helping all business segments to fully understand risks and security within the product run time. Position Overview: Siemens Software (DI SW) is looking for a highly skilled and experienced leader reporting to the Director of Security Innovation & Automation. The Artificial Intelligence (AI) Security Engineer will play a critical role in developing and implementing security frameworks for AI models, algorithms, and datasets while collaborating across the product teams and Product Solution & Security Officers (PSSO). Key Responsibilities: + Assist the Director of Security Innovation & Automation in all aspects of Artificial Intelligence (AI) security while ensuring security in the product "run time" space. + Develop and implement security frameworks for AI models, algorithms, and datasets. + Automate the governance of our internal and external AI Models + Automate the security of our internal and external AI Models + Conduct risk assessments and threat modeling for AI systems to mitigate potential vulnerabilities. + Lead research and innovation in adversarial attack detection and AI security defenses. + Collaborate with cross-functional teams to integrate security best practices into AI applications. + Develop Security tooling to accelerate our security posture forward and scaling upwards by becoming a force multiplier through automation and AI + Analyze AI security incidents, conduct forensic investigations, and implement protective measures. + Develop tools to monitor AI security risks and detect anomalies in model behavior. + Ensure compliance with industry regulations and security standards for AI governance. + Mentor and train engineers in AI security principles and best practices. Required Qualifications: + Bachelor's or Master's degree in Computer Science, Cybersecurity, AI, or at least 8+ years of equivalent professional experience + 5+ years of experience in cybersecurity, with expertise in AI security. + Deep understanding of machine learning, neural networks, and adversarial attacks. + Proficiency in cryptographic techniques and secure AI model development. + Proficiency in python, GoLang, TypeScript or equivalent Cloud Languages + Strong experience with penetration testing, threat intelligence, and security auditing. + Familiarity with frameworks such as NIST AI Risk Management and Secure AI development guidelines. + Excellent problem-solving skills and ability to work in high-stakes security environments. + Experience in developing and enhancing SaaS Security in a large enterprise landscape + Strong communication and leadership skills to guide security initiatives across teams. Disclaimer : Please note that, due to the current integration framework, this opportunity is currently available exclusively to employees of Altair and DISW. While there is a possibility that the position may be made available to all Siemens employees through a future external posting, this is not guaranteed. We appreciate your understanding and cooperation during this transitional period. This communication does not constitute a promise or guarantee of future employment opportunities beyond the current scope . Why us? Working at Siemens Software means flexibility - Choosing between working at home and the office at other times is the norm here. We offer great benefits and rewards, as you'd expect from a world leader in industrial software. A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit, and business need. Bring your curiosity and creativity and help us shape tomorrow! Siemens Software. Transform the Everyday The salary range for this position is $ 177,000 to $ 318,600 and this role is eligible to earn incentive compensation. The actual compensation offered is based on the successful candidate's work location as well as additional factors, including job-related skills, experience, and relevant education/training. Siemens offers a variety of health and wellness benefits to employees. Details regarding our benefits can be found here: . In addition, this position is eligible for time off in accordance with Company policies, including paid sick leave, paid parental leave, PTO (for non-exempt employees) or non-accrued flexible vacation (for exempt employees). #LI-PLM #LI-HYBRID #SWSaaS #LI-DK1 Equal Employment Opportunity Statement Siemens is an Equal Opportunity Employer encouraging inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law. 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