20 of 20 Machine Learning Jobs in Northern Ireland

Engineering Manager – Machine Learning We are seeking a hands-on Engineering Manager to lead and grow a talented Machine Learning team, driving innovation and delivering real-world impact through cutting-edge AI solutions. This role blends technical leadership with people management – perfect for someone who wants to stay close to the code while also shaping a … Learning engineers and researchers. Stay hands-on: contribute to code, review architecture, and guide technical design decisions. Collaborate with product and data teams to scope, build, and scale ML-driven features and systems. Drive best practices across experimentation, model training, deployment, and monitoring. Champion engineering excellence, ensuring reliability, performance, and security in ML systems. About you: Strong software engineering … background with direct experience in machine learning applications. Proven track record leading teams – balancing delivery with career growth and mentorship. Proficiency in modern ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and cloud platforms. Comfortable working across the full lifecycle: from research prototypes to production-scale systems. Excellent communication skills and a collaborative mindset. Why apply? This is an More ❯

Engineering Manager – Machine Learning We are seeking a hands-on Engineering Manager to lead and grow a talented Machine Learning team, driving innovation and delivering real-world impact through cutting-edge AI solutions. This role blends technical leadership with people management – perfect for someone who wants to stay close to the code while also shaping a … Learning engineers and researchers. Stay hands-on: contribute to code, review architecture, and guide technical design decisions. Collaborate with product and data teams to scope, build, and scale ML-driven features and systems. Drive best practices across experimentation, model training, deployment, and monitoring. Champion engineering excellence, ensuring reliability, performance, and security in ML systems. About you: Strong software engineering … background with direct experience in machine learning applications. Proven track record leading teams – balancing delivery with career growth and mentorship. Proficiency in modern ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and cloud platforms. Comfortable working across the full lifecycle: from research prototypes to production-scale systems. Excellent communication skills and a collaborative mindset. Why apply? This is an More ❯

Engineering Manager – Machine Learning We are seeking a hands-on Engineering Manager to lead and grow a talented Machine Learning team, driving innovation and delivering real-world impact through cutting-edge AI solutions. This role blends technical leadership with people management – perfect for someone who wants to stay close to the code while also shaping a … Learning engineers and researchers. Stay hands-on: contribute to code, review architecture, and guide technical design decisions. Collaborate with product and data teams to scope, build, and scale ML-driven features and systems. Drive best practices across experimentation, model training, deployment, and monitoring. Champion engineering excellence, ensuring reliability, performance, and security in ML systems. About you: Strong software engineering … background with direct experience in machine learning applications. Proven track record leading teams – balancing delivery with career growth and mentorship. Proficiency in modern ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and cloud platforms. Comfortable working across the full lifecycle: from research prototypes to production-scale systems. Excellent communication skills and a collaborative mindset. Why apply? This is an More ❯

world. Role Data Analytics & AI - Data Science & AI - Manager 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 ❯

the following: :AUTOMATION: Industrial Robotics, Collaborative Robotics, Robot Offline Programming, Industrial Automation Applications, Self-Guided Vehicles, Engineering Design, 3D CAD Modelling, PLC Programming, SCADA systems, Automation Simulation, Virtual Commissioning, Machine Vision. DIGITALISATION: IT/OT Integration, SCADA systems, Industrial Communications, DevOps, ERP, MES, MBSE, Cyber Security, Digital Twin Technologies, Systems Integration, machine Learning/Artificial Intelligence Network … traceability), Inspection planning, Geometric Dimensioning and Tolerancing (GD&T), Measurement tools (traditional hand held, CMM, Laser scanners & trackers) and software (such as PC-DMIS/Polyworks/SA ), NDT & Machine Vision, Surface metrology, 3D CAD Design & Reverse Engineering, Measurement System Analysis, Data Analysis & reportingMACHINING: CNC Programming (G-code, M-code), CAD/CAM Proficiency (e.g., Catia, Siemens NX, Mastercam More ❯

Contract Full Stack Developer (AI/LLM Focus) Day Rate: £700 - £750/day (Flexible Depending on Experience) Initial Term: 6 months (Possibility of Extension) Location: Windsor, UK (Hybrid) Opportunity Overview We’re seeking a full stack developer with strong More ❯

JOB REPORTING TO: Engineering Manager – Data & Modelling LOCATION: Belfast About StormHarvester: StormHarvester is a fast-growing green-tech software company based in Belfast, using machine learning and predictive analytics to help wastewater utilities detect issues in the sewer networks before environmental harm occurs. By combining real-time sensor data with localised weather forecasts, we are the leading software … deliver actionable insights across wastewater networks through our cloud-based SaaS platform. As we continue to grow, we’re expanding our team to tackle new challenges with data and machine learning. More and more, StormHarvester are tackling problems and projects that require hydraulic modelling experience. The Data & Modelling team has hydraulic modelling expertise, and are looking to expand this. More ❯

JOB REPORTING TO: Engineering Manager – Data & Modelling LOCATION: Belfast About StormHarvester: StormHarvester is a fast-growing green-tech software company based in Belfast, using machine learning and predictive analytics to help wastewater utilities detect issues in the sewer networks before environmental harm occurs. By combining real-time sensor data with localised weather forecasts, we are the leading software … deliver actionable insights across wastewater networks through our cloud-based SaaS platform. As we continue to grow, we’re expanding our team to tackle new challenges with data and machine learning. More and more, StormHarvester are tackling problems and projects that require hydraulic modelling experience. The Data & Modelling team has hydraulic modelling expertise, and are looking to expand this. More ❯

JOB REPORTING TO: Engineering Manager – Data & Modelling LOCATION: Belfast About StormHarvester: StormHarvester is a fast-growing green-tech software company based in Belfast, using machine learning and predictive analytics to help wastewater utilities detect issues in the sewer networks before environmental harm occurs. By combining real-time sensor data with localised weather forecasts, we are the leading software … deliver actionable insights across wastewater networks through our cloud-based SaaS platform. As we continue to grow, we’re expanding our team to tackle new challenges with data and machine learning. More and more, StormHarvester are tackling problems and projects that require hydraulic modelling experience. The Data & Modelling team has hydraulic modelling expertise, and are looking to expand this. More ❯

technical input for proposals, solution scoping, and proofs-of-concept. Attend occasional client meetings or events across the UK, Europe, and internationally. Required Experience Strong knowledge of data modelling, machine learning, and/or advanced data analytics. Demonstrable track record of delivering data analytics projects as part of a team. Hands-on experience with collaborative software development and … Comfortable contributing to technical discussions and implementing solutions defined by project leads. Desirable Experience Strong Python expertise. Experience with GNU/Linux environments. Familiarity with key data science and ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow, XGBoost, Hugging Face). Experience in natural language processing, tabular data analysis, or computer vision. SQL proficiency. Exposure to containerisation (Docker, Kubernetes) and cloud More ❯

technical input for proposals, solution scoping, and proofs-of-concept. Attend occasional client meetings or events across the UK, Europe, and internationally. Required Experience Strong knowledge of data modelling, machine learning, and/or advanced data analytics. Demonstrable track record of delivering data analytics projects as part of a team. Hands-on experience with collaborative software development and … Comfortable contributing to technical discussions and implementing solutions defined by project leads. Desirable Experience Strong Python expertise. Experience with GNU/Linux environments. Familiarity with key data science and ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow, XGBoost, Hugging Face). Experience in natural language processing, tabular data analysis, or computer vision. SQL proficiency. Exposure to containerisation (Docker, Kubernetes) and cloud More ❯

technical input for proposals, solution scoping, and proofs-of-concept. Attend occasional client meetings or events across the UK, Europe, and internationally. Required Experience Strong knowledge of data modelling, machine learning, and/or advanced data analytics. Demonstrable track record of delivering data analytics projects as part of a team. Hands-on experience with collaborative software development and … Comfortable contributing to technical discussions and implementing solutions defined by project leads. Desirable Experience Strong Python expertise. Experience with GNU/Linux environments. Familiarity with key data science and ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow, XGBoost, Hugging Face). Experience in natural language processing, tabular data analysis, or computer vision. SQL proficiency. Exposure to containerisation (Docker, Kubernetes) and cloud More ❯

clients across diverse industries. Based close to Belfast City, this company has an excellent reputation and offers a work environment that fosters progression. Do you have strong Python and ML experience? Have you worked in an Agile environment? This could be the next step for you! Requirements: Strong Python and ML experience. Familiarity with Agile and Git. Bonus: NLP, computer … vision, cloud-native tech. Key Responsibilities: Design and implement data science solutions. Collaborate with teams and stakeholders. Apply machine learning and write clean, testable code. Perks: 35 days leave + flexible working. Private health insurance & pension. Gym membership contribution. Development support & hybrid setup. If you're interested in this role, click 'apply now' to forward an up-to More ❯

on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job More ❯

you'll bring Strong full-stack engineering background - ideally React, Ruby, and Python (but open to engineers from Java, .NET or similar who can cross-train). AI/ML curiosity - experience with Generative AI or willingness to experiment with emerging tools. Cloud-native mindset - AWS experience valued; Terraform, Kubernetes, DevOps exposure a plus. Awareness of working in regulated or More ❯

Bloomberg, ICE, BT Turrets, Cloud 9, Mobile Voice, etc. Solid understanding of Regulatory obligations and expectations in relation to Communication Record Keeping and Surveillance. Non-Essential Artificial Intelligence/Machine Learning experience in a Compliance Technology context. Project Management experience in a regulated/financial context. This job description is subject to the terms and conditions of your 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 ❯

Engineer to join our Algo & MLOps team. In this pivotal role, you will drive the implementation of cloud infrastructure and services enabling the research, training and productionisation of advanced ML models powering our email threat detection and data loss prevention products. You will collaborate closely with Data Scientists, Backend and Data Engineers to lead major initiatives end-to-end ensuring … that our ML infrastructure and services supporting model predictions adhere to our requirements of latency, reliability and scale. You will also help promote software development best practices and encourage innovative approaches to problem-solving within the team. - Develop, deploy and maintain low-latency, scalable and reliable applications and infrastructure using Python and Terraform on AWS cloud - Collaborate closely with data … scientists, MLOps and backend engineers to build and manage infrastructure and services for training and deployment of a diverse set of ML and NLP models - Build and maintain batch and real-time feature computation pipelines capable of processing complex structured and unstructured data using technologies such as Spark, Apache Airflow, AWS SageMaker etc. - Contribute to the implementation of foundational ML More ❯