1 to 25 of 31 Permanent Machine Learning Jobs in Northern Ireland

seeking an experienced Machine Learning Engineer to support a Financial Services organisation on an initial 6-month contract, working on production-grade ML systems that operate in regulated, high-volume environments. This role is ideal for someone comfortable taking models from research through to deployment, with a strong … into production within a Financial Services environment Collaborate closely with Data Scientists, Software Engineers, Risk, and Product teams Build and maintain end-to-end ML pipelines (training, validation, inference, monitoring) Ensure models meet requirements around performance, resilience, and explainability Contribute to MLOps best practices, model governance, and technical standards Support ...

looking for an experienced Senior Machine Learning Engineer to lead the design and production integration of ML into an established live trading system and drive its next phase of development. Building on our early ML research and prototypes, you will design, build, deploy, and operate production ML components … making and execution quality with measurable financial impact. This is an excellent opportunity for someone who enjoys autonomy, technical responsibility, and building production-grade ML systems where reliability, latency, and real-world feedback loops matter. What You'll Do Lead the design and production integration of ML components into ...

Permanent Remuneration (UK – Remote): £81–108k Base Salary + Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Google, Meta, Bloomberg, Microsoft and Amazon. We are backed by prominent … institutional VC funds and C-level executives of global technology companies. The role involves the design and development of backend services and infrastructure for Machine Learning workloads. You will be working closely with the Machine Learning team; however, you are not required or expected to have ...

/ML Engineer (Generative AI/LLMs) Location: Fully Remote (UK-based) The Role We're hiring a Senior Machine Learning Engineer to lead the design and production of Generative AI and Large Language Model (LLM) applications. This role sits at the heart of an AI-focused engineering … semi-autonomous agents using modern agent frameworks and Google AI tooling. Collaborate with product and engineering teams to translate complex business requirements into ML-driven solutions. Monitor, optimise, and continuously improve models in live production environments. Contribute to the architecture and evolution of the AI platform and supporting data infrastructure. ...

seeking a hands-on Machine Learning Senior Staff Engineer to lead cross-functional teams building and deploying cutting-edge LLM and ML systems. In this role, you'll drive the full lifecycle of AI development — from research and large-scale model training to production deployment — while mentoring … that break the models and navigating the intersection of research, engineering, and product delivery. Roles & Responsibilities: Lead and mentor a cross-functional team of ML engineers, data scientists, and MLOps professionals. Oversee the full lifecycle of LLM and ML projects — from data collection to training, evaluation, and deployment. Collaborate with ...

limit and you'll help us get there. Key Responsibilities Stay up to date with the state-of-the-art in Artificial Intelligence and Machine Learning, and apply it to the problem of Enterprise Vibe Coding; Make use of techniques such as In-Context Learning (Prompt Engineering … practice in a large-scale project. Qualifications/What You Need To Succeed Ph.D. or MSc degree in Computer Science, Electrical Engineering, Artificial Intelligence, Machine Learning, or related technical fields is highly valued. 7+ years of work experience in Machine Learning and AI Engineering roles, preferably ...

Financial Crime, Data & AI-driven SaaS company helping organisations detect, prevent, and manage financial crime at scale. Our platform combines advanced data, AI and machine learning to deliver market-leading solutions across: Financial Crime Risk Management Anti-Money Laundering (AML) & Counter-Terrorist Financing (CTF) KYC & Risk Assessment Watchlist … from anywhere Competitive base salary + uncapped commission High-growth SaaS business in a mission-critical market Opportunity to sell cutting-edge AI and machine learning technology Clear career progression and leadership opportunities Collaborative, ambitious, and supportive culture ...

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 ...

engineering quality, automation and innovation. Why candidates choose this role You gain ownership over cloud direction and standards. You join a team that encourages learning, experimentation and the use of new technologies. You work in an environment that values both independence and collaboration. You build platforms that directly support ...

Senior Software Engineer or in a similar role. AWS Expertise: Strong proficiency in AWS services, particularly Amazon Lex and other AI/ML offerings. Tech Savvy: Proficiency in TypeScript and modern JavaScript frameworks. DevOps Knowledge: Solid understanding of DevOps methodologies and tools (CI/CD, Serverless, Monitoring). Contact Center ...

MLOps workflows. · Work across internal products and contract-based venture projects. Requirements · Strong foundational programming skills in Python. · Basic understanding of AI/ML models and how they are trained, deployed, and run. · Familiarity/understanding with version control software (git). · Ability to work in a fast-moving environment ...

Understanding of public sector security and compliance requirements (for example NCSC guidance, DSPT) Nice to Have Experience supporting data platforms, analytics, or AI/ML workloads on OpenShift Exposure to GitOps tooling (for example Argo CD) and Infrastructure as Code Experience working in highly regulated or mission-critical environments Strong ...

knowledge. Security tooling, FinOps, and cost optimisation experience. Familiarity with SQL/Postgres/Redis, log aggregation, or SaaS platforms. Exposure to AI/ML infrastructure and disaster recovery planning. Interested? If your instinct is to improve things, automate things, and engineer things the right way, let’s talk. Please ...

guidance to junior engineers. Collaborate with product and engineering teams to integrate AI functionality into the platform. Required Experience Experience as an AI or Machine Learning Engineer with responsibility for end-to-end model development and deployment. Deep knowledge of RAG Experience processing high volumens of documentation/… leading technical initiatives. Nice to Have Experience working with sensitive or regulated data (not essential). Experience with graph-based retrieval. Familiarity with Azure ML or similar tooling. Career Path and Growth You will act as the senior figure within the AI group, shaping standards, guiding junior colleagues and influencing ...

scalable, secure, reliable, and enterprise-ready. Key Responsibilities Own the full platform architecture, including ingestion, scoring, data stores, APIs, and dashboards. Lead AI/ML-powered enrichment and scoring systems. Build and scale microservices, event-driven pipelines, and automated intelligence workflows. Harden cloud infrastructure and implement security, compliance ...

Handle slang, idioms and cultural variation Define quality metrics and evaluation pipeline What We're Looking For Strong experience in speech, NLP or applied ML Comfort working across ASR, TTS and translation Experience with low-resource or multilingual models is a plus Builder mindset and comfort with ambiguity Currently ...

Process: Intro call where we talk about the role. Technical discussion with the Head of AI. Deep-dive session with a Backend Engineer and ML Engineer from the team. 30-minute conversation with the Founder. Why This Is Worth Your Time Real ownership: You'll be the architect behind ...

weeks) using Agile methods (Scrum or Kanban) with regular demos and retrospectives. Build and lead cross-functional squads including Product Owner, Data Scientists, ML Engineers, Integration Engineers, Solution Architect, and domain experts from Admissions, Registry and Student Services. Design experiments, test hypotheses, and iterate quickly, ensuring human-in-the-loop … with robust architecture, integration patterns, security controls, SLAs, and operational runbooks. Establish MLOps across the university environment, including model registry, CI/CD for ML, feature stores, monitoring for drift, and retraining policies. Build reusable AI platform capabilities (e.g., orchestration, RAG services, prompt safety, connectors) that support multiple domains such ...

experimentation, balanced by enterprise-grade governance, technical rigour and operational discipline. We want to hear from you if: Have led an applied AI or ML function, owning product direction and technical strategy for enterprise-grade AI platforms. Have operated as an AI Engineer or AI Architect at at Staff/ ...

insights — and are seeking an AI Engineering Lead to define and deliver this vision. Job Summary & Purpose Own and drive Akixi's AI and ML strategy — from concept and architecture through hands-on prototyping and deployment — to embed intelligence into Akixi's products and analytics platforms. As the AI Engineering … roadmap. Architect scalable AI solutions integrated into Akixi's SaaS analytics platform. Prototype, develop, and integrate AI-driven components such as chatbots, voice assistants, ML models, and LLM-based analytics. Apply prompt engineering and model-tuning techniques to optimize chatbot and LLM behaviour. Conduct research, proof-of-concepts, and feasibility ...

others optimize labour planning, scheduling, budgeting, time and attendance, task execution, and fresh operations through advanced forecasting, AI/ML optimization, and operational best practice. Retailers rely on Logile to drive productivity, improve colleague engagement, reduce costs, and deliver better customer experiences. Role Overview We are seeking a Solution Consultant ...

solutions that deliver autonomous workflows, seamless enterprise integration, and intuitive user-facing interaction points. This role requires strong hands-on expertise in AI/ML development, large language models, and full stack engineering. It is ideally suited to professionals with 5+ years of software development or IT automation experience … Skills & Experience 5+ years in software development or IT automation with proven delivery of robust solutions. Expert-level proficiency in Python for AI/ML and backend development. Hands-on experience with agentic AI frameworks, workflow automation, or intelligent IT service management. Deep experience with LLMs and integrating RAG (Retrieval ...

direct impact on the business, working closely with the founders and leadership team. What You'll Do: Design, build, and deploy AI/ML models powering the core platform. Create scalable AI infrastructure, data pipelines, and deployment workflows. Collaborate with product and engineering to turn business problems into AI solutions. … Experiment with the latest AI techniques to innovate and deliver real-world impact. Mentor future AI/ML hires as the team grows. What We're Looking For: Proven experience in AI/ML, ideally from a startup or high-growth scaleup environment. Expert in Python and frameworks such ...

with rapid commercial traction across top UK & US firms, they are scaling fast and this is the time to join. The Role: AI/ML Engineer – Agentic Systems You will design and deliver intelligent agentic workflows, leveraging frontier LLMs. Working with their data scientists and backend engineers … roadmap for intelligent systems and ensuring scalability, compliance, and robustness. Requirements Strong programming experience with Python. Proven track record building production-grade AI/ML systems (emphasis on implementation and integration over pure research). Practical experience with AWS (and ideally Terraform, GitLab CI). Experience with agentic systems ...

models, and retrieval-augmented generation (RAG) systems Design evaluation frameworks addressing bias, hallucination detection, and business impact Explore novel AI applications while integrating traditional ML techniques where appropriate Who We're Looking For For Senior Engineers: 5–8+ years building robust, scalable software systems Full-stack development capability across modern … hands-on experimentation with tools like ChatGPT, Claude, GitHub Copilot For Principal Engineers: 8+ years delivering complex, enterprise-grade software Proven AI/ML expertise with production deployment experience Advanced knowledge of transformer architectures, foundation models, and prompt engineering Senior stakeholder engagement experience and ability to lead high-level ...