112 Machine Learning Researcher jobs in Ireland

We are seeking a Machine Learning (ML) Engineer to join our team at Guy Carpenter (GC). This role will be based in Dublin as part of the Marsh McLennan Innovation Centre. This is a hybrid role that has a requirement of working at least three days a week in the office. As an ML Engineer at GC, you you'll leverage cutting-edge machine learning to enhance data-driven products for a global leader in risk management and reinsurance. This cross-functional environment offers the opportunity to contribute throughout the full AI solution lifecycle while solving complex problems in the reinsurance domain.

We will count on you to:

• Incorporate cutting-edge business intelligence, machine learning, and alternative data practices into our wider organization to drive efficiencies and generate revenue
• Own the complete model lifecycle from data wrangling and development through training and monitoring
• Stay current with the latest ML/AI innovations and strategically apply these advancements to enhance GC's business and data strategy
• Build and improve our internal ML/AI private packages and tooling
• Establish and maintain strong relationships with internal team members and external clients
• Evangelize ML/AI techniques and best practices throughout our analytics and engineering teams

What you need to have:

• 4-5 years of experience developing and deploying ML models in production environments
• Significant expertise with Python data science ecosystem including pandas, scikit-learn, numpy, and deep learning frameworks (TensorFlow, PyTorch or Hugging Face)
• Strong SQL skills for data manipulation and analysis
• Ability to produce production-quality code with adherence to engineering best practices (unit testing, code reviews, CI/CD pipelines)
• Exceptional analytical abilities and intellectual curiosity demonstrated through academic or professional work
• Hands-on experience developing AI/ML technologies such as LLM inference, similarity search, vector databases, guardrails, and memory systems using Python

What makes you stand out:

• Experience with Databricks and its ML ecosystem
• Hands-on experience developing AI/ML technologies
• Experience fine-tuning open source LLMs for specific business applications

Why join our team:

• We help you be your best through professional development opportunities, interesting work and supportive leaders.
• We foster a vibrant and inclusive culture where you can collaborate with talented colleagues to create new solutions and have impact for colleagues, clients and communities.
• Our scale enables us to provide a range of career opportunities.

Marsh McLennan (NYSE: MMC) is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit , or follow on LinkedIn and X.

Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, Traveller community, or any other characteristic protected by applicable law. We are an equal opportunities employer. We are committed to providing reasonable support to any candidate with a disability/health condition to allow them to fully participate in the recruitment process. We welcome candidates to contact us at to discuss any specific needs.

Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one "anchor day" per week on which their full team will be together in person.

ML Engineer

Location: Dublin, Ireland (Hybrid 3 days On-Site and 2 days Remote)

Duration: 12+ Months

Rate: €400/day on C2C.

Job Description

Summary

Apple is seeking a senior machine learning engineer to join our global Apple Music operations team. The ideal candidate will collect business requirements, prepare data sets, train, evaluate and deploy Machine Learning (ML) models, monitor their performance and retrain models if needed in the media (music, video and image domain). These models will help Apple Music operations team improve the user experience.

Key Qualifications

• 10+ years of machine learning industry experience
• Strong experience using machine learning tools, libraries, and frameworks such as scikit-learn, pandas, numpy, pytorch, mllib and others
• Excellent knowledge and experience in all major machine learning algorithms, statistical regression and deep learning included.
• Strong production experience training and evaluating ML models with proper pipelines and metrics
• Proficiency in at least one programming language, preferably Python
• Strong knowledge and hands-on experience with SQL and different database technologies
• Excellent written/verbal communication and interpersonal skills

Description

This role will build the suite of Data, AI, and Machine Learning products, including, but not limited to, LLM and GenAI. - Collaborate with business stakeholders to clarify requirements, use cases and business metrics - Work with data engineers to set up the data pipeline and prepare data sets for model building - Work with business domain experts to understand the data and create features for model training - Design, build, and evaluate models. Partner with the SRE team to deploy the models for inference. Monitor the models' performance and re-train as needed - Communicate and explain the models to the business partners to secure adoption

Education

MS or PhD in Computer Science or equivalent field

Job Type: Full-time

Pay: €50.00- 0.00 per day

Ability to commute/relocate:

• Dublin, CO. Dublin: reliably commute or plan to relocate before starting work (preferred)

Work authorisation:

• Ireland (required)

Location:

• Dublin, CO. Dublin (preferred)

Work Location: In person

Reference ID: ML-AP001

At Ardanis, we're seeking an AI/ML Engineering Specialist with solid experience in enterprise-grade machine learning systems, Cloudera ML stack integration, and RAG (Retrieval-Augmented Generation) pipelines. The role involves end-to-end ownership of ML infrastructure, from data ingestion and feature engineering to model deployment, monitoring, and lifecycle automation. You'll work closely with data engineers, ML scientists, and platform architects to operationalize AI workloads within distributed environments, ensuring performance, scalability, and reproducibility.

Responsibilities:

• Design and implement production-ready ML pipelines on the Cloudera Data Platform (CDP), integrating Cloudera Data Engineering, Data Science Workbench, and Machine Learning components.
• Develop and maintain RAG architectures, combining embedding models, vector databases, and LLM inference layers for enterprise-scale retrieval and reasoning.
• Integrate vector stores such as FAISS, Milvus, Pinecone, or ChromaDB into existing data pipelines and Cloudera ML workflows.
• Implement feature stores, model registries, and CI/CD pipelines for automated deployment and retraining using MLflow, Airflow, and Kubernetes.
• Optimize model inference latency and resource utilization in distributed environments (Spark, YARN, K8s).
• Develop REST/gRPC APIs and microservices to serve models and RAG endpoints.
• Monitor model drift, retraining triggers, and lineage using observability tools and metadata tracking systems.
• Collaborate with data platform engineers to ensure compliance with data governance, lineage, and access control standards in Cloudera

Requirements

• Advanced proficiency in Python (FastAPI, Pandas, NumPy, Pydantic) with solid experience in Java and Scala for building data pipelines and distributed processing systems.
• Experienced across the full Machine Learning lifecycle using tools such as MLflow, DVC, Airflow, and Kubeflow for orchestration, tracking, and deployment.
• Skilled in managing containerized and distributed environments with Docker, Kubernetes, Spark, YARN, and the Cloudera ML stack (CDP).
• Expertise in designing and optimizing retrieval pipelines using FAISS, Pinecone, Milvus, and ChromaDB for vector search and embedding-based systems.
• Hands-on experience with LangChain, LlamaIndex, and custom RAG architectures, integrating LLMs (OpenAI, Anthropic, Hugging Face) into production environments.
• Strong background in CI/CD and GitOps workflows, leveraging ArgoCD, Jenkins, and GitHub Actions for automated ML deployment.
• Proficient in monitoring and observability using Prometheus, Grafana, and OpenTelemetry to ensure model and system performance.
• Deep understanding of version control and reproducibility with Git, MLflow Model Registry, and Cloudera ML tracking.
• Experience working in large-scale enterprise ML environments built on Cloudera CDP.
• Familiar with data governance, GDPR compliance, data masking, and access control policies.
• Exposure to semantic search, embedding optimization, and prompt orchestration for retrieval-augmented AI systems.
• Strong grasp of distributed systems and data-intensive workloads at petabyte scale.
• Certified in Cloudera Data Platform, AWS, or GCP Machine Learning

You'll be joining a cross-functional engineering team that designs, deploys, and maintains production-grade AI infrastructure. The environment is highly collaborative, code-driven, and version-controlled, with emphasis on reproducibility, data lineage, and system observability. We expect strong ownership, deep understanding of MLOps principles, and the ability to reason about trade-offs in performance, scalability, and model lifecycle management.

JD

Must have 7+ years of overall experience in AI/ML domains

AI Engineers with Institutional & Financial Data hands-on experience

Extensive experience in AI/ML, with a focus on Generative AI and Large Language Models. Proven track record in working with major cloud platforms (Azure, GCP, AWS).

Understanding of VertexAI, LLaMA, Claude, and other main-stream large language models, how to deploy them on cloud/on-premise and use APIs to build Industry production solutions.

Experience on deploying and optimizing LLM models on cloud i.e. Aws Bedrock, GCP Vertex AI.

Lead the development and implementation of Generative AI and LLM projects, ensuring alignment with business objectives.

Experiences on building RAG/workflows with LLM for data retrieval on relational database and documents.

Genesys empowers organizations of all sizes to improve loyalty and business outcomes by creating the best experiences for their customers and employees. Through Genesys Cloud, the AI-powered Experience Orchestration platform, organizations can accelerate growth by delivering empathetic, personalized experiences at scale to drive customer loyalty, workforce engagement, efficiency and operational improvements.

We employ more than 6,000 people across the globe who embrace empathy and cultivate collaboration to succeed. And, while we offer great benefits and perks like larger tech companies, our employees have the independence to make a larger impact on the company and take ownership of their work. Join the team and create the future of customer experience together.

Location:
We are open to this person working hybrid from our office in Galway or remote within Ireland

The Conversational AI group are seeking a
Senior AI/ ML Engineer
to join the team and drive the technical excellence and evolution of our Conversational AI solutions with a focus on Generative AI systems at global scale (reaching over 7,500 organizations in 100+ countries). This role offers the opportunity to shape the future of our AI capabilities while leading complex technical initiatives that will shape our journey towards Agentic AI. You'll work at the intersection of cutting-edge AI research and practical implementation, delivering solutions from conception to deployment that have a significant organizational impact. You will collaborate closely with UX designers, and product teams supporting each other to bring state-of-the-art AI technologies to production.

This is an opportunity to shape the future of AI-driven conversations and develop robust, scalable architectures for intelligent agents. And a great opportunity to work at the intersection of software engineering and AI research. If you are passionate about building next-generation AI applications and have a strong background in software engineering, distributed systems, and AI development, we'd love to hear from you.

What You Will Do
:

• Innovation and development: design and implement POCs that push the boundaries of conversational AI and virtual agent capabilities, contributing to organizational growth through creative technical solutions.
• Architect and develop: maintain, enhance, and evolve our Virtual Agents engine, applying advanced AI/ML concepts to solve extremely complex problems in natural language understanding and generation.
• Drive technical vision: shape and deliver our roadmap toward Agentic AI, translating cutting-edge research into practical and scalable solutions.
• Project leadership: manage major technical initiatives involving cross-functional teams, delegating work effectively while maintaining high standards through technical review.
• Mentor and guide: provide technical coaching and training to junior engineers across the organization, reviewing their work and helping them grow their technical capabilities.
• Influence and collaborate: work closely with product teams, customers, and vendors to translate business requirements into innovative technical solutions.

What We're Looking For
:

• Ideally, a degree in Computer Science, Software Engineering, Data Science, or related disciplines. However, this is not a hard requirement as we recognise there are many diverse paths into software careers.
• 5+ years of AI/ML engineering experience with demonstrated expertise in AI/ML systems (advanced degrees may reduce requirement by 2--4 years).
• Technical expertise in conversational AI, NLP, and dialogue systems with a proven track record of delivering production systems.
• Strong software engineering fundamentals, including system design, data structures, algorithms, and software architecture.
• Experience working on complex technical projects and managing technical deliverables.
• Strong communication skills with the ability to influence and explain complex concepts across organizational levels.
• Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.
• Independent judgment in developing novel approaches to challenging AI problems.

Desirable Experience or an Interest in Learning
:

• Experience with Large Language Models (LLMs) and their application in conversational systems. Hands-on experience with fine-tuning, prompt engineering, and retrieval-augmented generation (RAG).
• Knowledge of multi-agent systems/frameworks and agentic AI architectures.
• Familiarity with voice AI technologies and multimodal conversational interfaces.
• Background in reinforcement learning for dialogue optimization.
• Understanding of enterprise AI governance and responsible AI practices.
• Interest in emerging areas, such as tool-using AI agents and autonomous decision-making systems.
• Familiarity with cloud platforms (particularly AWS), AI/ML technologies, and MLOps practices.
• Contributions to open-source AI projects, research publications, or patents in AI/ML.

Benefits:

• Flexible work schedules and work-from-home options
• Development and career growth opportunities
• Excellent pension scheme
• Bonus scheme
• Health Insurance
• Income Protection & Life Assurance
• Family-friendly leave allowances, including paid maternity and paternity leave.

If you are excited about pushing the boundaries of conversational AI and agentic intelligence while leveraging strong software skills, we encourage you to apply and be part of our team

If a Genesys employee referred you, please use the link they sent you to apply.

About Genesys:
Genesys empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. With agentic AI at its core, Genesys Cloud is the AI-Powered Experience Orchestration platform that connects people, systems, data and AI across the enterprise. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces. To learn more, visit

Reasonable Accommodations:
If you require a reasonable accommodation to complete any part of the application process, or are limited in your ability to access or use this online application and need an alternative method for applying, you or someone you know may contact us at

You can expect a response within 24–48 hours. To help us provide the best support, click the email link above to open a pre-filled message and complete the requested information before sending. If you have any questions, please include them in your email.

This email is intended to support job seekers requesting accommodations. Messages unrelated to accommodation—such as application follow-ups or resume submissions—may not receive a response.

Genesys is an equal opportunity employer committed to fairness in the workplace. We evaluate qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, marital status, domestic partner status, national origin, genetics, disability, military and veteran status, and other protected characteristics.
Please note that recruiters will never ask for sensitive personal or financial information during the application phase.

Lead AI/ML Engineer - Lead AI/ML Engineer

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 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.

Information is the lifeblood of the healthcare industry-everything depends on it. At Optum Insight Technology & Engineering, you'll help us work on streamlining the flow of information between payers, healthcare providers and various other stakeholders to deliver the right insights to the right places at the right times, driving better outcomes for patients, reducing friction in the health system and lowering costs. Every day our work directly impacts the world for the better, in meaningful and profound ways.

We live in a time of unprecedented technical capability and possibility. Health care is at a pivotal point in this journey where even small gains can lead to major transformation. You could be a part of that - you have tremendous skill and the potential to make a lasting impact. Optum Insight Technology is uniquely positioned to bring your skills to bear on these pressing and life-changing technical challenges. The health care industry has an immediate need for your drive, innovation, passion and technical insight. Help us help the millions of people we serve each day.

The Lead AI/ML Engineer plays a key technical contributor in the design and development of state-of-the-art ML for medical applications. The Lead AI/ML Engineer works closely with ML engineers, research linguists, software engineers and subject matter experts on current company technologies and forward-looking projects. Lead Engineers initiate and lead new research initiatives into unexplored modeling approaches, mentoring and guiding teams to adopt new technologies.

Schedule: This is a full-time position with standard working hours of Monday - Friday, 9am - 5pm.

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 office and telecommuting from a home-based office in a hybrid work model.

Primary Responsibilities of the Lead AI/ML Engineer:

• Initiate and drive novel method development in machine learning from first principles to deployed solutions
• Provide innovative modifications and extensions to existing deep learning and statistical learning architectures
• Perform independent statistical inquiry into new areas and identify growth points and areas of untapped information
• Partner with Engineering, Business and Technical Product to make and meet project commitments in an agile framework; rapidly delivering value to our customers via technology solutions
• Mentor junior data scientists to successfully deliver software and business value
• Responsible for continuous improvement for alerts, monitors and telemetry
• Communicate with stakeholders, subject matter experts, and colleagues to identify new means of approaching problems in the medical coding field
• Design novel methods in machine learning and launch them to production with the help of data engineers and deployment software engineers
• Perform independent analysis of trends in medical coding and production performance of statistical models
• Demonstrate leadership in the context of machine learning engineering and direct the research direction of a multidisciplinary team focused on deep learning and LLM approaches
• Stay abreast of leading-edge technologies in machine learning and deep learning, participate and lead in research talks and white paper reviews
• Participate in research meant to ensure alignment of models to ethical standards to ensure machine learning models perform without harm to users

You'll 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 provide development for other roles you may be interested in.

Required Qualifications of the Lead AI/ML Engineer:

• Bachelor's Degree in Computer Science or AI required or equivalent experience
• Extensive experience in machine learning or data science: data analysis, algorithm design, model architecture specification, machine learning algorithm implementation
• Extensive coding experience with Python with emphasis on libraries from Pytorch, HuggingFace, and pandas
• Proven experience leading development in a data science focused team using deep learning architectures
• Proven experience in machine learning model development, transformer architectures, data trend analysis

Preferred Qualifications of the Lead AI/ML Engineer:

• Experience digesting and implementing research from primary literature or white paper resources
• Production experience with cloud and big data technologies
• Experience with SQL databases and query language
• Experience in AzureML, AWS, or cluster computing architectures
• Experience with Hybrid NLP solutions that combine symbolic and machine learning approaches
• Publication history in deep learning or statistical domain
• Healthcare domain background
• Master's Degree or Doctoral Degree in Computer Science or AI

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 marginalised 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 Traveller community, or any other characteristic protected by law. Optum is a drug-free workplace Optum Services (Ireland) Limited. All rights reserved.

The Mission: Build the Brain of an Autonomous System

At Zode
, we believe the future of production reliability is autonomous. We are building the world's first autonomous governor for CI/CD—an intelligent layer that predicts incidents before they happen and takes action to prevent them.

Our core promise rests on one thing: a predictive model that is not just accurate, but 
honest, explainable, and incredibly fast.

We are looking for our Founding AI/ML Engineer. This isn't a role for a researcher. This is a role for a builder
. You will be the architect and owner of the "conscious" part of the Zode the brain that turns chaotic, high-dimensional time-series data into a single, trusted decision. This is a chance to build a category-defining ML system from the ground up, solving problems that directly prevent outages and eliminate on-call pain for fellow engineers.

What we Will Build & Own:

• The Core Predictive Engine:
   You will design, build, and productionize the models that forecast SLO breaches, p95 latency spikes, and capacity exhaustion. This is your canvas, from feature engineering to model serving.

• A Modern ML Stack:
   You will own the end-to-end ML pipeline. Our current thinking is a stack built on Python, PyTorch/Scikit-learn, and serving with 
  ONNX Runtime
  , but you will be the one to make the final calls and build it for scale.

• Sophisticated Modeling Techniques:
   This isn't just another classification problem. You'll be working with multi-horizon time-series forecasting (
  TCNs, LSTMs
  ), robust feature engineering, and applying techniques like 
  Conformal Prediction
   to provide statistically honest confidence intervals—no black boxes.

• Causal & Explanatory AI:
   A prediction is useless without a reason. You will build the systems that provide attribution, linking a predicted risk back to a specific change marker and a set of contributing factors.

• A System That Learns:
   You will design the feedback loops that allow our models to learn from manual overrides and real-world outcomes, creating a flywheel that makes the entire system smarter with every deployment it governs.

Who You Are:

• A Pragmatic Builder:
   You have a proven track record of shipping production ML systems. You are comfortable with the entire lifecycle, from wrangling data with SQL/Pandas to serving a model behind a low-latency API.
• A Time-Series Expert:
   You have deep, hands-on experience with time-series forecasting. You understand concepts like seasonality, stationarity, and the pros and cons of different modeling approaches (from classical methods to deep learning).
• Product-Minded:
   You are obsessed with the "so what?" of a prediction. You constantly think about the end-user, the actions they will take, and how to build a system that earns their trust.
• Technically Fluent:
   You are strong in Python and its ML ecosystem (PyTorch, TensorFlow, Scikit-learn, etc.). You have experience with MLOps principles and tools. Experience with Go is a plus but not required.
• An Independent Owner:
   As a founding engineer, you are comfortable with ambiguity. You can take a high-level architectural spec, debate its merits, and then go execute on it with a high degree of autonomy.

The Opportunity:

This is more than a job. It's a chance to be a true owner in a company that is solving a massive, universal problem for engineers. You will have a significant equity stake, a huge amount of technical ownership, and the opportunity to build a product and a team that will define the future of reliable software delivery.

If you are an ML engineer who wants to build something that actively prevents outages instead of just analyzing them, we want to talk to you.

PTSB is one of Ireland's leading retail and SME banks, with an innovative range of products and services powered through an evolving digital landscape, our focus is centred on ensuring we deliver what our customers, colleagues and communities need to be successful.

As an ML & AI Engineer at PTSB, you will be at the cutting edge of developing and deploying machine learning and artificial intelligence solutions that enhance the bank's services, optimise operations, and provide enhanced customer experience. Your role involves designing, developing, and deploying machine learning models and systems to meet business goals and support experimentation and innovation. You will work on various stages of the AI/ML development life cycle, from data preprocessing and model development to deployment and monitoring. You will support integrating and implementing AI/ML algorithms and logic into existing systems or new applications.

Responsibilities:

• Research, design, and implement effective ML algorithms and AI systems based on the specific requirements needed to address key business challenges.
• Design and develop scalable solutions that leverage machine learning and deep learning models to meet enterprise requirements.
• Work closely with data scientists to develop machine learning algorithms.
• Translate machine learning algorithms into production-level code, collaborate with development teams to test and deploy machine learning models.
• Evaluate the performance of ML models using appropriate methodologies to meet accuracy and efficiency standards. Fine-tune models to improve performance.

Requirements:

• Bachelor's or Master's degree in Data Science, Computer Science, Software Engineering, or similar.
• Experience as ML or AI Engineer or a in related field, developing and deploying enterprise solutions.
• Proficiency in programming languages such as Python, R, or Java.
• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Experience with cloud services (AWS, Google Cloud, Azure) and their ML related services (e.g. AWS Sagemaker, Google Vertex, Azure ML etc.) and MLOps best practice.
• Excellent understanding of model lifecycle, drift monitoring and data dependencies.
• Understanding of algorithms, data structures, and statistical modelling.
• Practiced in data cleaning, preparation, and preprocessing techniques.
• Ability to communicate findings to both technical and non-technical audiences.

This is a permanent role based in Dublin or Cork (Hybrid).

Is this you?

Please apply online on our website or via the apply link of this role. Your application will be sent through to our Talent Acquisition team and they will be in touch regarding your application.

We reserve the right to draw up a shortlist for interview.

The Bank understands the importance of a consistent and relentless focus on championing diversity and inclusion. We aim to attract, recruit, and retain individuals with diverse backgrounds, skills, competencies and abilities to work collaboratively to enhance the service we provide to all of our customers and the communities we serve.