19 Machine Learning Models jobs in Ireland

**Minimum qualifications:**
+ Master's degree or equivalent in a quantitative discipline such as Math, Economics, Statistics, Engineering, Sciences, or equivalent practical experience.
+ 7 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.
**Preferred qualifications:**
+ 4 years of experience as a people manager within a technical leadership role.
+ Experience working with marketing and media data.
+ Experience delivering multiple concurrent marketing mix models and Geo-Experiments end-to-end.
+ Experience with Cloud products like GCP (Vertex AI) and SageMaker.
+ Understanding of Bayesian approaches and modeling frameworks.
+ Proven ability to generate practical solutions for marketing analytics problems and use results to drive business change in partnership with cross-functional stakeholders.
Find the user. Find the magic. Connect the two. At its core, marketing at Google starts with the user and ends with technology, bringing both together in unconventional ways. Our job is to demonstrate how Google's products solve the world's problems - from the everyday to the epic, from the mundane to the monumental. And, we approach marketing in a way that only Google can - break the rules, redefine the medium, make the user the hero, and ultimately let the technology speak for itself.
As a Data Science Manager in the Marketing team, you will lead projects, translating business problems into analytical solutions and you will guide your team to implement data science solutions, improve data, develop metrics, and build models for business insights. You also foster knowledge sharing and develop your team's talent.
You will also be a Marketing Mix Modeling (MMM) specialist, who will play a strategic and technical role in driving all things media, marketing, analytics, and partnering with internal teams to evaluate strategic initiatives. Using first-party and third-party data sources, you will create innovative solutions to demonstrate the effectiveness of Google's media investment. At Google-scale, this implies working on our industry's toughest challenges.
**Responsibilities:**
+ Provide support in media strategy, measurement, and optimization that requires expertise in advanced analytics work, with special focus on MMMs.
+ Partner with internal teams in advanced analytics work including data pipelines, experimentation, measurement, and modeling.
+ Identify patterns and behaviors that are effective predictors of performance and critical drivers for a successful media plan.
+ Deliver customer-centric, data-driven approach, based on a people-based marketing strategy to build, segment, and test audiences for best business results.
+ Develop evaluation frameworks for ML and LLM models, large-scale models, new metrics, and investigate anomalies. Frame and solve ambiguous problems by scoping technical priorities and innovating on statistical methods.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:

**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.

Senior Clinical Data Science Programmer
ICON plc is a world-leading healthcare intelligence and clinical research organization. We're proud to foster an inclusive environment driving innovation and excellence, and we welcome you to join us on our mission to shape the future of clinical development.
We are currently seeking a Senior Clinical Data Science Programmer to join our diverse and dynamic team. As a Senior Clinical Data Science Programmer at ICON, you will play a pivotal role in developing and implementing programming solutions to support the analysis and reporting of clinical trial data. You will contribute to the advancement of innovative treatments and therapies by ensuring the accuracy and efficiency of data processing through your programming expertise.
**What You Will Be Doing:**
+ Developing, validating, and maintaining programming solutions for data analysis and reporting in clinical trials.
+ Collaborating with clinical data scientists and biostatisticians to ensure the integration of programming solutions into the overall data management process.
+ Overseeing the generation of statistical datasets, tables, listings, and figures to support regulatory submissions and study reports.
+ Providing guidance on programming best practices, coding standards, and data quality control measures.
+ Staying updated on advancements in programming languages and data management tools to enhance operational efficiencies.
**Your Profile:**
+ Advanced degree in a relevant field such as computer science, statistics, or life sciences.
+ Extensive experience in programming for clinical trials, with proficiency in languages such as SAS, R, or Python.
+ Strong problem-solving skills and the ability to work collaboratively in a fast-paced, cross-functional environment.
+ Excellent attention to detail and organizational skills, with a commitment to delivering high-quality results.
+ Strong communication and interpersonal skills, with the ability to effectively collaborate with diverse teams and influence outcomes.
#LI-RD1
**What ICON can offer you:**
Our success depends on the quality of our people. That's why we've made it a priority to build a diverse culture that rewards high performance and nurtures talent.
In addition to your competitive salary, ICON offers a range of additional benefits. Our benefits are designed to be competitive within each country and are focused on well-being and work life balance opportunities for you and your family.
Our benefits examples include:
+ Various annual leave entitlements
+ A range of health insurance offerings to suit you and your family's needs.
+ Competitive retirement planning offerings to maximize savings and plan with confidence for the years ahead.
+ Global Employee Assistance Programme, LifeWorks, offering 24-hour access to a global network of over 80,000 independent specialized professionals who are there to support you and your family's well-being.
+ Life assurance
+ Flexible country-specific optional benefits, including childcare vouchers, bike purchase schemes, discounted gym memberships, subsidized travel passes, health assessments, among others.
Visit our careers site ( to read more about the benefits ICON offers.
At ICON, inclusion & belonging are fundamental to our culture and values. We're dedicated to providing an inclusive and accessible environment for all candidates. ICON is committed to providing a workplace free of discrimination and harassment. All qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or in order to perform the essential functions of a position, please let us know or submit a request here ( in the role, but unsure if you meet all of the requirements? We would encourage you to apply regardless - there's every chance you're exactly what we're looking for here at ICON whether it is for this or other roles.
Are you a current ICON Employee? Please click here ( to apply

Senior Clinical Data Science Programmer ICON plc is a world-leading healthcare intelligence and clinical research organization. We're proud to foster an inclusive environment driving innovation and excellence, and we welcome you to join us on our mission to shape the future of clinical development. We are currently seeking a Senior Clinical Data Science Programmer to join our diverse and dynamic team. As a Senior Clinical Data Science Programmer at ICON, you will play a pivotal role in developing and implementing programming solutions to support the analysis and reporting of clinical trial data. You will contribute to the advancement of innovative treatments and therapies by ensuring the accuracy and efficiency of data processing through your programming expertise. What You Will Be Doing: Developing, validating, and maintaining programming solutions for data analysis and reporting in clinical trials. Collaborating with clinical data scientists and biostatisticians to ensure the integration of programming solutions into the overall data management process. Overseeing the generation of statistical datasets, tables, listings, and figures to support regulatory submissions and study reports. Providing guidance on programming best practices, coding standards, and data quality control measures. Staying updated on advancements in programming languages and data management tools to enhance operational efficiencies. Your Profile: Advanced degree in a relevant field such as computer science, statistics, or life sciences. Extensive experience in programming for clinical trials, with proficiency in languages such as SAS, R, or Python. Strong problem-solving skills and the ability to work collaboratively in a fast-paced, cross-functional environment. Excellent attention to detail and organizational skills, with a commitment to delivering high-quality results. Strong communication and interpersonal skills, with the ability to effectively collaborate with diverse teams and influence outcomes. #LI-RD1 What ICON can offer you: Our success depends on the quality of our people. That's why we've made it a priority to build a diverse culture that rewards high performance and nurtures talent. In addition to your competitive salary, ICON offers a range of additional benefits. Our benefits are designed to be competitive within each country and are focused on well-being and work life balance opportunities for you and your family. Our benefits examples include: Various annual leave entitlements A range of health insurance offerings to suit you and your family's needs. Competitive retirement planning offerings to maximize savings and plan with confidence for the years ahead. Global Employee Assistance Programme, LifeWorks, offering 24-hour access to a global network of over 80,000 independent specialized professionals who are there to support you and your family's well-being. Life assurance Flexible country-specific optional benefits, including childcare vouchers, bike purchase schemes, discounted gym memberships, subsidized travel passes, health assessments, among others. Visit our careers site to read more about the benefits ICON offers. At ICON, inclusion & belonging are fundamental to our culture and values. We're dedicated to providing an inclusive and accessible environment for all candidates. ICON is committed to providing a workplace free of discrimination and harassment. All qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or in order to perform the essential functions of a position, please let us know or submit a request here Interested in the role, but unsure if you meet all of the requirements? We would encourage you to apply regardless - there's every chance you're exactly what we're looking for here at ICON whether it is for this or other roles. Are you a current ICON Employee? Please click here to apply To be considered for this role you will be redirected to our careers page & prompted to create a jobseeker account here. To start the process, click the Continue to Application or Login/Register button below. Benefits: Work From Home

Applications are sought for Ad Astra Fellow - Assistant Professor of Agri-food Systems Data Science within the College of Health and Agricultural Sciences. Applications are invited for the post of Assistant Professor in Agri-Food Systems Data Science at the UCD School of Agriculture & Food Science. This position offers an exciting opportunity to contribute to cutting-edge research and teaching while addressing critical national and global challenges in sustainable food systems. We invite dynamic and ambitious scholars with a strong background in applying artificial intelligence (AI), machine learning (ML) and Multiple Criteria Decision Analysis (MCDA) to complex datasets within agri-food systems. The successful candidate will play a leading role in advancing the School's expertise in agri-food systems modelling, focusing on sustainability and innovation in food production. They will be instrumental in developing a vibrant research agenda, collaborating with interdisciplinary teams, and making significant contributions to both teaching and student mentorship. This position is aligned with UCD's Strategy to 2030, particularly its pillars of Advancing Research and Innovation and Driving Sustainability. The successful candidate will contribute significantly to UCD's mission of addressing pressing societal challenges through impactful research, teaching, and collaboration. 95 Lecturer/Asst Professor Above the Bar (7943) Salary Scale: €62,855 - €99,533 Per Annum Appointment will be made on scale and in accordance with the Department of Finance guidelines. Closing date: 12:00 noon (local Irish time) on the 29th August 2025. Applications must be submitted by the closing date and time specified. Any applications which are still in progress at the closing time of 12:00 noon (Local Irish Time) on the specified closing date will be cancelled automatically by the system. UCD are unable to accept late applications. Please note: the eRecruitment system only requests the names of two referees. The full list of 3 referees should be included in the text of your application. UCD do not require assistance from Recruitment Agencies. Any CVs submitted by Recruitment Agencies will be returned. Note: Hours of work for academic staff are those as prescribed under Public Service Agreements. For further information please follow the link; 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.

About Us:
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.
How We Work:
At Proofpoint, you'll be part of a global team that breaks barriers to redefine cybersecurity, guided by our BRAVE core values: Bold in how we dream and innovate, Responsive to feedback, challenges, and opportunities, Accountable for results and best-in-class outcomes, Visionary in future-focused problem-solving, Exceptional in execution and impact.
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
- Proficiency in Python with the ability to write clean, well-structured, and maintainable code for data analysis, modeling and experimentation
- 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
Why Proofpoint? At Proofpoint, we believe that an exceptional career experience includes a comprehensive compensation and benefits package. Here are just a few reasons you'll love working with us:
- Competitive compensation
- Comprehensive benefits
- Learning & Development: We are committed to the growth and development of our team members, offering a range of programs including leadership and professional development workshops, stretch project assignments, and mentoring opportunities to help employees reach their full potential.
- Flexible work environment: (Remote options, hybrid schedules, flexible hours, etc.).
- Annual wellness and community outreach days
- Always on recognition for your contributions
- Global collaboration and networking opportunities
Our Culture:
Our culture is rooted in values that inspire belonging, empower purpose and drive success-every day, for everyone. We encourage applications from individuals of all backgrounds, experiences, and perspectives. If you need accommodation during the application or interview process, please reach out to . How to Apply Interested? Submit your application here . We can't wait to hear from you!
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.

Staff Machine Learning Engineer - Pricing

We're looking for a senior-level Machine Learning Engineer to lead the development of advanced pricing optimisation systems that directly impact millions of global users. This is a high-visibility role, supporting strategic business goals and backed by executive sponsorship. The ideal candidate will combine deep technical expertise in machine learning and optimisation with strong product intuition and the ability to deliver production-ready solutions in a dynamic, collaborative environment.

This role focuses on building intelligent pricing and promotion solutions that maximise business value while maintaining a seamless customer experience. You'll be part of a multidisciplinary team driving key business outcomes through data science, software engineering, and applied machine learning.

Key Responsibilities

Lead the design and implementation of ML models for pricing elasticity, cannibalisation analysis, and multi-period promotional planning.

Develop and deploy time-series forecasting models to estimate product demand across markets and product categories.

Build optimisation workflows (e.g., with OR-Tools) to balance growth objectives with business constraints.

Enhance clustering algorithms for product grouping and similarity detection, improving pricing strategies.

Own the full ML lifecycle-from feature engineering and model training to validation, deployment, and performance monitoring.

Apply a wide range of machine learning and deep learning techniques (e.g., classification, regression, time series, uplift modeling).

Partner with product managers, analysts, and other engineering teams to translate business problems into scalable ML solutions.

Collaborate with systems engineering teams to support the seamless integration of ML models into production environments.

Mentor junior engineers and contribute to the overall technical vision and ML/AI strategy.

Play a key role in shaping product and technology roadmaps through thought leadership and technical expertise

Please note the role will require travel to Dublin 1-2 times a month, which will not be expensed

If you can't see what you're looking for right now, send us your CV anyway - we're always getting fresh new roles through the door.