17 of 17 Machine Learning Jobs in County Antrim

MCS Group is working exclusively with a fast-scaling technology company in their search for a Lead Machine Learning Engineer. With significant investment onboard, our client are in scale up mode and plan to double their … headcount by the end of this year. This Lead Machine Learning Engineer is a newly created role within the business, and will allow a talented and passionate ML Engineer to drive the adoption of AI and ML into their core product. You'll take the lead on designing, building, and deploying ML models at scale-working closely with … the senior leadership team and wider engineering and product functions to solve real-world problems. What you'll need: Strong experience with Python and modern ML frameworks (e.g. TensorFlow, PyTorch, scikit-learn) Proven track record of deploying ML solutions on AWS Ability to lead projects, mentor engineers, and drive best practices in ML engineering If you're excited about leading More ❯

MCS Group is working exclusively with a fast-scaling technology company in their search for a Lead Machine Learning Engineer. With significant investment onboard, our client are in scale up mode and plan to double their … headcount by the end of this year. This Lead Machine Learning Engineer is a newly created role within the business, and will allow a talented and passionate ML Engineer to drive the adoption of AI and ML into their core product. You'll take the lead on designing, building, and deploying ML models at scale-working closely with … the senior leadership team and wider engineering and product functions to solve real-world problems. What you'll need: Strong experience with Python and modern ML frameworks (e.g. TensorFlow, PyTorch, scikit-learn) Proven track record of deploying ML solutions on AWS Ability to lead projects, mentor engineers, and drive best practices in ML engineering If you're excited about leading More ❯

role The QA Engineer plays a key role within the Napier Engineering group. You will be responsible for building, maintaining, and executing quality-assured automation scripts using modern AI, Machine Learning, and web-based tools. You will investigate root causes of functional issues, and then adjust and improve test cases based on the findings. You will work with … standards and improvements supporting Napier's goals. Your creativity and ideas will be encouraged and supported-your input matters! Key accountabilities: Develop and execute quality-assured automation scripts using machine learning, web, and API-based automation tools Collaborate with developers to build and execute test cases for new or updated product features Participate in daily scrum calls, provide More ❯

infrastructure that is critical to the environment, economy and everyday living. We are primarily data driven with domain expertise delivering insights to water networks and assets using analytics, presentation, machine learning and AI that is SAAS and cloud based. About the role: Working as part of a development and delivery team, designing, developing, implementing, testing, maintaining, supporting and More ❯

leverage new technologies or methodologies to improve our product and processes. Additional knowledge & experience areas that would be highly desirable AI and Data Experience: Familiarity with artificial intelligence/machine learning concepts and experience integrating AI-driven tools or features into software products or development workflows. For example, hands-on experience with AI coding assistants, chatbots, recommendation systems More ❯

Magnify brings the power of the latest AI, ML, and large-scale data architectures to transform the customer experience in software. Software Engineers at Magnify will develop microservices, machine learning services, data handling, communication and integration components that enable Magnify's post-sales orchestration platform. This is a remarkable opportunity for someone with back-end skills and cloud More ❯

analytics teams to design a domain-driven, unified data architecture. Support the creation of a real-time, scalable data layer that enables advanced analytics, AI-driven decision-making, and machine learning capabilities. Contribute to the development of data governance and compliance strategies. Technical Leadership & DevOps Culture Lead by example across delivery teams, offering hands-on technical support and More ❯

and problem-solving. - Ability to contribute to high-impact, strategic initiatives beyond immediate project scope. What We Offer - Work on impactful, cutting-edge products powered by artificial intelligence and machine learning. - Be part of an agile, close-knit team that values creativity, quality and continuous learning. - Flexible working environment, with typically 2 days hybrid working in our Belfast office More ❯

team rituals into smart, adaptive flows that eliminate friction and respond intelligently to user behaviour. • Cross-functional execution : Lead product development from discovery through launch. Work closely with engineering, ML, design, and go-to-market teams. You will define data requirements, shape architecture and UX, and track product performance through clear metrics. • Go-to-market and monetisation: Develop pricing and … packaging strategies for AI features. Test business models and validate product-market fit. You will own the commercial success of your product areas. • Data-driven learning loops : Create feedback systems that capture user behavior, AI performance, and commercial outcomes. Use this data to run experiments, improve models, and refine user experiences. • Customer and internal enablement : Engage directly with early … user control, design for transparency, and ensure compliance with relevant policies. WHAT YOU BRING AI product experience : You have significant product management experience, including meaningful work on AI or ML-powered features. You've built user-facing tools that use machine learning, especially in scheduling, coordination, or productivity software. • Technical fluency : You are comfortable with concepts like embeddings 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 ❯

Brainspace, Disco, Ringtail, CasePoint, Nuix, or comparable). Experience of working with clients to develop review workflows and, in particular, the use of Technology Assisted Review ("TAR") and other machine-learning methodologies. Strong team-oriented characteristics, hardworking, confident and positive. Sense of ownership regarding tasks. Workstream and people management experience. Client engagement experience, including liaising directly with clients. 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 ❯

DataRobot SAS Databricks SPSS R Python Scala Java Spark In addition, exposure to data visualization platforms such as Tableau or Power BI would be beneficial. A solid understanding of machine learning concepts is also important for this role. More ❯

experience, including implementing engineering excellence best practises across multiple teams. Demonstrable experience designing and building AI-based solutions and/or AI platforms at scale. Familiarity with AI/ML tools, frameworks, and platforms (e.g., TensorFlow, PyTorch, ML Flow, Data Bricks Azure/AWS/GCP AI services). Track record of delivering production-grade AI applications or integrating AI … governance, ethical AI, model explainability, and privacy concerns (e.g., GDPR) in designing AI solutions Experience in the establishment of or monitoring, retraining, and lifecycle management for deployed AI/ML systems, ensuring continued accuracy, fairness, and compliance. Familiarity with experiment tracking tools and automated ML workflows (e.g., MLflow). Experience and skills we'd love: We've included some further … in programming in multiple languages, including Java, JavaScript and Python. Knowledge of and exposure to coaching frameworks. Hands-on experience with MLOps, data engineering, or deployment of AI/ML models (real time and batch) in a business environment. Experience leading teams on AI-driven projects, such as recommendation systems, automation, or intelligent data processing. What you'll be doing More ❯

and implement AI-powered features for threat detection, pattern recognition, and automated intelligence gathering Design and build scalable data pipelines that process billions of data points using AI/ML models for entity extraction and relationship mapping Lead the integration of Large Language Models (LLMs) for natural language processing of intelligence data Develop robust APIs and microservices that handle real … computer vision systems for image and video analysis in OSINT investigations Build and optimize vector databases for semantic search across massive intelligence datasets Establish best practices for AI/ML model deployment, monitoring, and continuous improvement Mentor team members on AI engineering practices and drive technical excellence Collaborate with Nisos analysts to understand requirements and translate them into AI-enhanced … solutions Own critical platform components from conception through production deployment Who You Are Expert proficiency in Python, JavaScript, and modern web frameworks Deep experience with AI/ML frameworks (PyTorch, TensorFlow, Transformers, LangChain) Mastery of prompt engineering and fine-tuning Large Language Models Proficient in vector databases (Pinecone, Weaviate, Milvus) and embedding technologies Expert in building RAG (Retrieval-Augmented Generation More ❯

and implement AI-powered features for threat detection, pattern recognition, and automated intelligence gathering Design and build scalable data pipelines that process billions of data points using AI/ML models for entity extraction and relationship mapping Lead the integration of Large Language Models (LLMs) for natural language processing of intelligence data Develop robust APIs and microservices that handle real … computer vision systems for image and video analysis in OSINT investigations Build and optimize vector databases for semantic search across massive intelligence datasets Establish best practices for AI/ML model deployment, monitoring, and continuous improvement Mentor team members on AI engineering practices and drive technical excellence Collaborate with Nisos analysts to understand requirements and translate them into AI-enhanced … solutions Own critical platform components from conception through production deployment Who You Are Expert proficiency in Python, JavaScript, and modern web frameworks Deep experience with AI/ML frameworks (PyTorch, TensorFlow, Transformers, LangChain) Mastery of prompt engineering and fine-tuning Large Language Models Proficient in vector databases (Pinecone, Weaviate, Milvus) and embedding technologies Expert in building RAG (Retrieval-Augmented Generation More ❯

Work Partner closely with the Head of Engineering, Delivery Leads, and Product Managers to scope and ship features end-to-end. Collaborate across functions-including backend and AI/ML developers-to create seamless full-stack solutions. Champion a positive and open engineering culture through collaboration, transparency, and shared ownership. Act as a mentor to junior and mid-level developers … guiding them in technical growth and decision making. Foster a culture of continuous learning and improvement within the frontend team through knowledge-sharing, pair programming, and feedback. Contribute to hiring and onboarding of new frontend talent as we scale the team. Required Experience 6+ years of frontend software engineering experience, with a strong background building production-grade web applications. … version control using Git. Experience with advanced state management solutions (e.g., Redux, Zustand, Recoil). Experience integrating with GraphQL and RESTful APIs. An understanding or curiosity about AI/ML-powered user interfaces or applications. Experience leading greenfield product developments as well as maintaining and evolving mature codebases. Key Attributes Strong communicator-able to clearly articulate technical reasoning and collaborate More ❯