13 of 13 Machine Learning Jobs in Northern Ireland

world. Data Analytics & AI - Data Science & AI - Senior Consultant EY exists to build a better working world. We empower our people by offering the culture, tech, teams, scale, challenges, learning, and the relationships for you to personalise and build your career, helping to create long-term value for clients, people and society and build trust in the capital markets. … interpret data, and support data driven decision making. Machine Learning and AI Model End to End Management : The ability to build and manage the full lifecycle of ML models including development, validation, deployment, and monitoring in production environments. Collaboration : The ability to work closely with cross-functional teams to develop, test, and deploy advanced machine learning … Proficiency in Python, SQL, and deep learning frameworks such as TensorFlow and PyTorch. Programming: Solid experience in Python and SQL. Experience with R is a nice-to-have. ML and AI: Practical experience using ML modeling libraries like Scikit-Learn, Keras, Tensorflow, PyTorch and similar Generative AI: Some hands-on experience with LLMs for prompt engineering or agents is More ❯

team and build on continued success on a global scale. Your key responsibilities Collaboration: The ability to work closely with cross-functional teams to develop, test, and deploy advanced machine learning models, ensuring alignment with business objectives and seamless integration into client operations. Data Analysis: The capability to analyse large and complex datasets to extract actionable insights. Your … our data infrastructure. Communication: The skill to effectively communicate complex analytical findings and model results to stakeholders, translating data-driven insights into business language that informs decision-making. Continuous Learning: The ability to stay informed of the latest advancements in data science, including techniques and tools, to ensure our team remains at the cutting edge of the field. Skills … and attributes for success To qualify for the role; Experience: 3 years of hands-on experience in building and deploying machine learning or deep learning models in real-world applications. Technical Expertise: Proficiency in Python, SQL, and deep learning frameworks such as TensorFlow and PyTorch. Experience with R is a nice-to-have. Foundational Knowledge: A More ❯

leveraging data to solve complex problems and drive business outcomes. Your key responsibilities Collaboration: The ability to work closely with cross-functional teams to develop, test, and deploy advanced machine learning models, ensuring alignment with business objectives and seamless integration into client operations. Data Analysis: The capability to analyse large and complex datasets to extract actionable insights. Your … our data infrastructure. Communication: The skill to effectively communicate complex analytical findings and model results to stakeholders, translating data-driven insights into business language that informs decision-making. Continuous Learning: The ability to stay informed of the latest advancements in data science, including techniques and tools, to ensure our team remains at the cutting edge of the field. Understand … and help to articulate and quantify the value that data and AI can deliver. Skills and attributes for success To qualify for the role; Experience in building and deploying machine learning or deep learning models in real-world applications. A completed degree (bachelors, masters, or PhD). Excellent leadership and organisational skills, with a track record of More ❯

industrial experience.Evidence of:Software development skills in languages such as C, C++/Java/Python/R. Use of code configuration management toolsets.Applied knowledge of Artificial Intelligence and Machine Learning methodologies and tools, or of cybersecurity principles.Knowledge of one or more of the following:Artificial Intelligence and Machine Learning methodologies and tools.General cyber security principles.High More ❯

Collaboration & Leadership • Work closely with retail operations and supply chain, to align IT solutions with business needs. • Work closely with other IT team members. • Evaluate emerging technologies including AI, machine learning, and automation to enhance customer experience and operational efficiency. • Support Industry 4.0 initiatives such as smart warehousing, robotics, and real-time data analytics. Essential Requirements: A Bachelor More ❯

and technical expertise in theory and implementation of Digitised Manufacturing with experience using relevant software packages and associated manufacturing technologies.Specific knowledge and experience in related technical areas such as machine connectivity, enterprise systems, data visualisation and analysis, machine learning and cyber security.Experience of collaborative working in multidisciplinary research and development teams To be successful at shortlisting stage More ❯

tools such as Teams Chat, WhatsApp for Business, Bloomberg, BT Turrets, Cloud 9, Mobile Voice . Solid understanding of regulatory requirements for communication surveillance. Desirable Experience with AI/ML in compliance contexts. Background in financial services project management . McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds. More ❯

isseekinganexperienced DataScientist tojointheirgrowingteam.ThisisanexcellentopportunityforacandidatewhothrivesonsolvingcomplexproblemswithdataandismotivatedbythetransformativeimpactthatDataandAIcandeliverwithinorganisations. KeyResponsibilities Deliverhigh-qualitydatascienceandanalyticssolutions,contributingtodesign,development,andproductroadmaps. Collaboratewithclientsandinternalteamstogatherrequirements,analysedata,andvalidatesolutions. Developandimplementdescriptive,predictive,andprescriptiveanalytics,integratingdatafrommultiplesources. Producecleardocumentation,reports,andvisualisations. Providetechnicalinputforproposals,solutionscoping,andproofs-of-concept. AttendoccasionalclientmeetingsoreventsacrosstheUK,Europe,andinternationally. RequiredExperience Strongknowledgeofdatamodelling,machinelearning,and/oradvanceddataanalytics. Demonstrabletrackrecordofdeliveringdataanalyticsprojectsaspartofateam. Hands-onexperiencewithcollaborativesoftwaredevelopmentandversioncontrol(preferablyGit). FamiliaritywithAgile/SCRUMmethodologies. Exposuretopre-engagementactivitiessuchasprojectscoping,technicalfeasibilityanalysis,orprototypedevelopment. Comfortablecontributingtotechnicaldiscussionsandimplementingsolutionsdefinedbyprojectleads. DesirableExperience StrongPythonexpertise. ExperiencewithGNU/Linuxenvironments. FamiliaritywithkeydatascienceandMLframeworks(e.g.,scikit-learn,PyTorch,TensorFlow,XGBoost,HuggingFace). More ❯

a next-generation data platform that leverages proprietary data to deliver advanced insights and AI capabilities . You'll design and implement both LLM-driven and traditional AI/ML solutions, embedding intelligent automation into core products and data workflows. It's a greenfield opportunity with real freedom to shape how AI is built, deployed, and scaled across the organisation. … You'll Be Working On Designing and deploying AI/ML solutions - from traditional models to GenAI applications. Building LLM-based pipelines (using LangChain and related tooling). Embedding AI-driven features and automation into cloud-based products. Collaborating with product, data, and engineering teams to make data AI-ready and improve customer ROI tenfold. Using tools like AWS SageMaker … Bedrock , TensorFlow , PyTorch , and GCP Vertex AI . What You'll Need Strong background in AI/ML engineering and data engineering principles . Proven experience building and deploying GenAI applications into production. Hands-on experience with LLM tooling (e.g. LangChain). Cloud experience with AWS (SageMaker, Bedrock) or GCP Vertex AI . Collaborative mindset - able to bridge between data More ❯

a next-generation data platform that leverages proprietary data to deliver advanced insights and AI capabilities . You'll design and implement both LLM-driven and traditional AI/ML solutions, embedding intelligent automation into core products and data workflows. It's a greenfield opportunity with real freedom to shape how AI is built, deployed, and scaled across the organisation. … You'll Be Working On Designing and deploying AI/ML solutions - from traditional models to GenAI applications. Building LLM-based pipelines (using LangChain and related tooling). Embedding AI-driven features and automation into cloud-based products. Collaborating with product, data, and engineering teams to make data AI-ready and improve customer ROI tenfold. Using tools like AWS SageMaker … Bedrock , TensorFlow , PyTorch , and GCP Vertex AI . What You'll Need Strong background in AI/ML engineering and data engineering principles . Proven experience building and deploying GenAI applications into production. Hands-on experience with LLM tooling (e.g. LangChain). Cloud experience with AWS (SageMaker, Bedrock) or GCP Vertex AI . Collaborative mindset - able to bridge between data More ❯

a next-generation data platform that leverages proprietary data to deliver advanced insights and AI capabilities . You'll design and implement both LLM-driven and traditional AI/ML solutions, embedding intelligent automation into core products and data workflows. It's a greenfield opportunity with real freedom to shape how AI is built, deployed, and scaled across the organisation. … You'll Be Working On Designing and deploying AI/ML solutions - from traditional models to GenAI applications. Building LLM-based pipelines (using LangChain and related tooling). Embedding AI-driven features and automation into cloud-based products. Collaborating with product, data, and engineering teams to make data AI-ready and improve customer ROI tenfold. Using tools like AWS SageMaker … Bedrock , TensorFlow , PyTorch , and GCP Vertex AI . What You'll Need Strong background in AI/ML engineering and data engineering principles . Proven experience building and deploying GenAI applications into production. Hands-on experience with LLM tooling (e.g. LangChain). Cloud experience with AWS (SageMaker, Bedrock) or GCP Vertex AI . Collaborative mindset - able to bridge between data More ❯

Go Backend Engineer (Data Platform & APIs) - Northern Ireland (Remote-first) * Salary: £75,000-£150,000 + bonus + benefits About the Company: Our client is scaling an ML-driven data and analytics platform and modernizing their engineering standards. Their current stack includes Python, GoLang, TensorFlow, PyTorch, AWS, and Kubernetes , with a focus on building scalable, ML-driven data and analytics … robust backend services in Go that power both the data platform (data lake, pipelines, model serving) and product-facing APIs . You'll collaborate with Data Science (leaders, DS, ML engineers, data engineers) to standardize tooling, operationalize models, and ship reliable APIs at scale. This role suits engineers who enjoy clear ownership, modern cloud infrastructure, and working at the intersection … of Go + ML platforms . What You'll Do: Platform & ML Enablement * Design and implement Go services for data ingestion, transformation, and orchestration on AWS & Kubernetes * Integrate with Python-based ML services (TensorFlow/PyTorch), enabling model training, evaluation, and real-time/batch inference * Help standardize frameworks, libraries, and best practices across DS/Eng (packaging, environments, CI More ❯

international reputation for excellence, innovation and regional engagement, making a major contribution to the economic, social, and cultural development of Northern Ireland. Our core business activities are teaching and learning, widening access to education, research and innovation, and technology and knowledge transfer. - THE ROLE - The Artificial Intelligence Collaboration Centre (AICC) is a £16.3M investment by InvestNI and the Department … a Principal AI Engineer in the AICC team, you will work with the AICC Research Lead to develop the skills and experience of the full team of AI/ML engineers. You will provide day-to-day leadership for the team, specifically around framing and delivering collaborative research and development efforts with companies across a wide range of areas such … as AI, ML & Data Science. We may create a 12-month waiting list for the same or similar roles within the Department/Faculty. The University reserves the right to extend the waiting list across the University if required for certain posts. - ABOUT YOU - The postholder will be required to have: A degree in Artificial Intelligence, Data Science, Computer Science More ❯