20 AI Solutions jobs in Ireland

With more than 45,000 employees and partners worldwide, the Customer Experience and Success (CE&S) organization is on a mission to empower customers to accelerate business value through differentiated customer experiences that leverage Microsoft's products and services, ignited by our people and culture. We drive cross-company alignment and execution, ensuring that we consistently exceed customers' expectations in every interaction, whether in-product, digital, or human-centered. CE&S is responsible for all up services across the company, including consulting, customer success, and support across Microsoft's portfolio of solutions and products. Join CE&S and help us accelerate AI transformation for our customers and the world.
We are looking for a **Cloud Solution Architect (CSA), specializing in AI solutions,** who is passionate about driving our customers' AI transformation journey with Copilot Chat, Agents, and M365 Copilot. This is a customer-facing role that serves as a strategic trusted advisor and technical subject matter expert, accelerating AI adoption and change management by creating business value and ROI. _This role is flexible in that you can work up to 50% from home ._
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
**Responsibilities**
+ **Be a trusted advisor and drive business value through AI Transformation** : Create business value by translating customer challenges into actionable solutions aligned to high ROI customer outcomes. Ensure a seamless, connected experience that fosters satisfaction, loyalty, and long-term value.
+ **Drive Customer Success** : Lead architectural design, engaging with business and technical decision makers to drive intent and enable sustained usage of Copilot Chat, Agents, and M365 Copilot, securing long-term customer success and renewal.
+ **Leverage** **Agentic AI** : Use Copilot prompt engineering and Agent-building expertise to drive AI at scale.
+ **Explore growth opportunities:** Partner with technical and sales teams to identify opportunities and develop tailored solutions to drive expansion and business value realization.
+ **Accelerate Customer AI Transformation Journey** : Engage in relevant communities to share expertise, contribute to IP creation, prioritize IP re-use, and learn from others to help accelerate your customer's AI transformation journey.
+ **Embrace a growth mindset:** Act as the voice of the customer by proactively sharing insights, feedback, and success stories to inform internal strategy and execution.
+ **Learn-it-all:** Demonstrate a self-learner mindset through continuous, self-directed learning in areas such as Copilot Chat, Agents, M365 Copilot, business value realization, and adoption and change management. Build and maintain technical readiness aligned to Customer Success Unit (CSU) priorities and corporate initiatives.
**Qualifications**
Required Qualifications:
+ Bachelor's degree in computer science, Information Technology, Engineering, Business, or related field AND experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting
+ OR equivalent experience
Preferred Qualifications:
+ Bachelors Degree in Computer Science, Information Technology, Engineering, Business, or related field AND experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting
+ OR Masters Degree in Computer Science, Information Technology, Engineering, Business, or related field AND experience in cloud/infrastructure technologies, technology solutions, practice development, architecture, and/or consulting
+ OR equivalent experience
+ Experience working in a customer-facing role (e.g., internal and/or external).
+ Experience working on technical projects.
+ Technical Certification in Cloud (e.g., Microsoft 365 Certified: Administrator Expert _,_ Azure, Amazon Web Services, Google, security certifications).
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .

**Job Summary**
Red Hat is seeking a Senior Principal Software Engineer to join our AI Catalyst Platform team, a forward-thinking group dedicated to exploring and incubating the newest AI initiatives. This role is pivotal in leading the design and development of the platform that supports and enables AI Catalyst initiatives, ensuring scalability, efficiency, and adaptability for cutting-edge AI projects.
Joining this team means working on the most advanced AI projects, collaborating with industry leaders, and contributing to solutions that shape the future of technology.
**What you will do:**
+ Architect and lead the design and implementation of platforms required to support rapid and stable AI initiatives and solutions for Red Hat AI products.
+ Collaborate with AI team leads, architects, and engineers to ensure the design and architecture align with project goals and organizational standards.
+ Evaluate new AI opportunities and define the optimal approach to meet or exceed platform requirements. Develop solutions with a focus on quality, security, maintainability, supportability, performance, and resilience.
+ Communicate architectural concepts and decisions effectively to diverse audiences, including technical and non-technical stakeholders.
+ Drive new initiatives, especially when scope crosses team or organizational boundaries, ensuring alignment and seamless execution.
+ Ensure quality by participating in peer code reviews, continuous integration (CI), and addressing security threats proactively.
+ Mentor and coach a distributed team of engineers, fostering a culture of continuous improvement through knowledge sharing and technical guidance.
+ Demonstrate proficiency in utilizing LLMs (e.g., Google Gemini), as relevant, for tasks such as brainstorming solutions, deep research, summarizing technical documentation, drafting communications, summarizing complex technical information, and enhancing problem-solving efficiency across the development lifecycle.
+ Proactively utilize AI-assisted development tools (e.g., GitHub Copilot, Cursor, Claude Code) for code generation, auto-completion, and intelligent suggestions to accelerate development cycles and enhance code quality.
+ Explore and experiment with emerging AI technologies relevant to software development, proactively identifying opportunities to incorporate new AI capabilities into existing workflows and tooling.
**What you will bring:**
+ 10+ years of relevant technical experience in software development.
+ Advanced experience working in a Linux environment with at least one language like Python, Go, C, or C++.
+ Ability to quickly learn and guide others on using new tools and technologies.
+ Proven ability to innovate and a passion for staying at the forefront of technology.
+ Excellent system understanding and troubleshooting capabilities.
+ Autonomous work ethic, thriving in a dynamic, fast-paced environment.
+ Experience with container technologies, such as Kubernetes/OpenShift and Podman
+ Hands-on learning and demonstrable experience with implementing and owning complex features individually and in collaboration with others
**Nice to have:**
+ Previous experience with hardware acceleration, either generic GPU experience or specific ones, such as CUDA and ROCm
+ Knowledge of AI frameworks, such as PyTorch and/or TensorFlow
+ Familiarity with containerization and orchestration
+ Understanding of Open Source development models
+ Experience with test-base development and agile/scrum methodologies
#AIHiring
#LI-YB1
**About Red Hat**
Red Hat ( is the world's leading provider of enterprise open source ( software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.
**Inclusion at Red Hat**
Red Hat's culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.
**Equal Opportunity Policy (EEO)**
Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.
**Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee.**
**Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email** ** ** **. General inquiries, such as those regarding the status of a job application, will not receive a reply.**

**Job Summary**
Red Hat is seeking a Senior Principal Software Engineer to join our AI Catalyst Platform team, a forward-thinking group dedicated to exploring and incubating the newest AI initiatives. This role is pivotal in leading the design and development of the platform that supports and enables AI Catalyst initiatives, ensuring scalability, efficiency, and adaptability for cutting-edge AI projects.
Joining this team means working on the most advanced AI projects, collaborating with industry leaders, and contributing to solutions that shape the future of technology.
**What you will do:**
+ Architect and lead the design and implementation of platforms required to support rapid and stable AI initiatives and solutions for Red Hat AI products.
+ Collaborate with AI team leads, architects, and engineers to ensure the design and architecture align with project goals and organizational standards.
+ Evaluate new AI opportunities and define the optimal approach to meet or exceed platform requirements. Develop solutions with a focus on quality, security, maintainability, supportability, performance, and resilience.
+ Communicate architectural concepts and decisions effectively to diverse audiences, including technical and non-technical stakeholders.
+ Drive new initiatives, especially when scope crosses team or organizational boundaries, ensuring alignment and seamless execution.
+ Ensure quality by participating in peer code reviews, continuous integration (CI), and addressing security threats proactively.
+ Mentor and coach a distributed team of engineers, fostering a culture of continuous improvement through knowledge sharing and technical guidance.
+ Demonstrate proficiency in utilizing LLMs (e.g., Google Gemini), as relevant, for tasks such as brainstorming solutions, deep research, summarizing technical documentation, drafting communications, summarizing complex technical information, and enhancing problem-solving efficiency across the development lifecycle.
+ Proactively utilize AI-assisted development tools (e.g., GitHub Copilot, Cursor, Claude Code) for code generation, auto-completion, and intelligent suggestions to accelerate development cycles and enhance code quality.
+ Explore and experiment with emerging AI technologies relevant to software development, proactively identifying opportunities to incorporate new AI capabilities into existing workflows and tooling.
**What you will bring:**
+ 10+ years of relevant technical experience in software development.
+ Advanced experience working in a Linux environment with at least one language like Python, Go, C, or C++.
+ Ability to quickly learn and guide others on using new tools and technologies.
+ Proven ability to innovate and a passion for staying at the forefront of technology.
+ Excellent system understanding and troubleshooting capabilities.
+ Autonomous work ethic, thriving in a dynamic, fast-paced environment.
+ Experience with container technologies, such as Kubernetes/OpenShift and Podman
+ Hands-on learning and demonstrable experience with implementing and owning complex features individually and in collaboration with others
**Nice to have:**
+ Previous experience with hardware acceleration, either generic GPU experience or specific ones, such as CUDA and ROCm
+ Knowledge of AI frameworks, such as PyTorch and/or TensorFlow
+ Familiarity with containerization and orchestration
+ Understanding of Open Source development models
+ Experience with test-base development and agile/scrum methodologies
#AIHiring
#LI-YB1
**About Red Hat**
Red Hat ( is the world's leading provider of enterprise open source ( software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.
**Inclusion at Red Hat**
Red Hat's culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.
**Equal Opportunity Policy (EEO)**
Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.
**Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee.**
**Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email** ** ** **. General inquiries, such as those regarding the status of a job application, will not receive a reply.**

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.

Why Choose to Apply to the Deloitte Aspire Programme? The Deloitte Ireland Aspire Programme, launched in 2020, supports professionals in the international protection process and under temporary protection to secure employment opportunities and develop their career in Ireland. Deloitte partners with the Irish Refugee Council , Business in the Community Ireland , Open Doors , Nasc and DLA Piper to offer a 6 month work placement across our business. During the 6-month period, participants are supported to deliver impactful work on client and internal projects and gain experience within the Irish market. You will also partake in coaching to explore career growth areas and join our community to build a network. This 6-month work placement programme will begin with Deloitte Ireland in Dublin from September 2025. Successful candidates will be paid for duration of the internship. Benefits of the Aspire Programme: Real client projects and the opportunity to learn from industry leaders. Insights into the business world in an Irish market. Continual learning & professional skill development opportunities. A supportive buddy and People Leader system. Career growth potential. At Deloitte, we celebrate the individuality that each team member brings-whether it's their ideas, interests, or personality. This diversity is key to our culture and success. At Deloitte Ireland, we're a team of over 3,000 talented individuals. As our firm grows, we remain committed to leadership across four key business areas: Technology & Transformation, Audit & Assurance, Tax & Legal and Strategy Risk & Transaction Advisory. We partner with some of the largest companies in Ireland and globally, providing opportunities for you to make a real impact across multiple industries. Join us and be part of a global network of nearly 400,000 people across 150 countries. Why Choose a Career in our Engineering, AI & Data team? Leverag ing engineering-led design, deep industry knowledge and AI and Data-driven insights , we support clients to transform the technology platforms at the heart of their business. W e empower organisati o n s and drive mission-critical solutions , whether that be modernis ing existing systems or implement ing new technology products and platforms. Through innovation, we improve financial performance, accelerate new digital businesses and fuel growth. By choosing to work with us you will be joining a practice which is widely recognised by our clients for its insight, expertise and for the quality of our work. You will be able to work in a culture that is innovative, collaborative and supportive of your personal and professional development. Our track record of commercial success and our growth ambitions can provide you with a fantastic platform for your career. What you will be doing: You will be w ork ing as part of multi-disciplinary teams to deliver cutting-edge projects in one or more of the following areas: Engineering and AI Solutions Designing and implementing advanced AI and machine learning models to solve complex business challenges Developing strategies and plans for AI integration across various business functions Supporting the development of AI-driven applications, from requirements gathering to design, build, test, and deployment Data Analytics and Visualisation Creating and implementing data analytics solutions to enhance business decision-making Supporting the development of comprehensive data strategies and plans for clients Supporting end-user data visualisation development, ensuring clarity and actionable insights AI and Data Implementations Implementing both traditional and generative AI solutions to drive innovation Providing expert advice to clients based on industry-leading practices and personal experience Working on projects and contributing to business development efforts to expand our portfolio This role will allow you to leverage your expertise in engineering, AI, and data to deliver impactful solutions and drive transformation for our clients. Desired skills and competencies: Technical Skills: Proficiency in AI, machine learning, and programming languages (e.g., Python, R). Data Analytics: Expertise in data analysis, visualisation, and tools like SQL, Tableau. Problem-Solving: Strong analytical and critical thinking abilities. Project Management: Experience in managing projects and working in teams. Communication: Excellent verbal and written communication skills. Innovation: Creative thinking and staying updated with industry trends. Client Focus: Ability to understand client needs and deliver tailored solutions. Ethics: Commitment to ethical and responsible AI practices. Ready to Launch Your Career? Apply Today! ? Location: Hybrid roles based in Dublin ? Important: You can apply to only one Aspire program role-choose wisely! Applications close on Tuesday the 12th of August at 4pm. ? Follow us on Instagram for an inside look at Life at Deloitte! Requirements: You must have the right to work in Ireland and currently be residing in Ireland to apply for this programme. International professionals that hold the right to work in Ireland under the following visas / permissions are eligible to apply: Stamp 4, Stamp 1, Labour Market Access permission, Temporary Protection permission Experience working in professional services, a corporate environment or a related field is desired. You are looking to develop new skills, learn and grow your career in professional services. 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 Continue to Application or Login/Register to apply button below.

Aviva is seeking a talented and drivenPricing Machine Learning Engineer to join our Personal Lines Insurance Pricing Team. This is a key role in shaping the future of pricing for Motor and Home Insurance, helping us maintain our position as a market leader through innovation, fairness, and technical excellence. Duties & Responsibilities: Build Machine Learning White Box models for Motor and Home Insurance pricing. Create innovative new rating factors to be the first of their kind in Irish or UK Insurance Tailor the rating approach to autonomous vehicles and electric cars Develop new automated optimisers to optimise profit in fair ways. Streamline feature engineering scripts to produce rating factors aiming for efficiency and simplicity. Skills & Experience: Previous experience working in General or Life Insurance isessential. A degree in a quantitative discipline (e.g., Data Science, Machine Learning, Actuarial Science) Strong command of machine learning techniques and their application in real-world pricing problems. Proficiency in SQL for data extraction and manipulation. Excellent communication skillscomfortable presenting technical insights to both technical and non-technical stakeholders. What will you get for this role? Competitive market leading salary depending on skills, experience, and qualifications. Generous pension (employee contribution matching of up to 14% if you contribute 8%) Annual performance related bonus and pay review. Holiday allowance of 25 days plus bank holidays, and the option to buy/sell up to 5 additional days. Generous Health & dental insurance contributions after six months Aviva Matching Share Plan and Save As You Earn scheme and Approved Profit Share Scheme Cycle to Work benefit scheme. TaxSaver Travel Scheme Family friendly parents (matching paternity and maternity leave) and carers leave. Up to 40% discount for some Aviva products plus discounts for Friends and Family Employee Assistance Programme Volunteering days Professional qualification support and transparent career progression plans Aviva is for Everyone Our diversity and inclusion policies and initiatives are shaping an environment where everyone feels welcome regardless of age, disability, race, ethnicity, gender, gender identity, religion, culture, sexual orientation, national origin, marital status, pregnancy, maternity or those with other caring responsibilities. Our approach helps to ensure that Aviva is a place which values difference and provides equal opportunities for all. We flex locations, hours and working patterns to suit our customers, business, and you. Most of our people are smart working spending around 50% of their time in our offices every week - combining the benefits of flexibility, with time together with colleagues.

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