126 to 150 of 1,155 Machine Learning Jobs in the UK

across large codebases, contributing to CI/CD infrastructure, and shaping technical direction through thoughtful design and mentoring in a technically demanding environment spanning ML frameworks, infrastructure, and AI accelerator hardware. The Team The ML QA team is composed of highly skilled software engineers with a strong focus on automation … wider software organization. Operating in a fast-paced environment, the team plays a critical role in ensuring reliability, performance, and maintainability across the ML software stack, helping to deliver robust and high-quality products to customers. Responsibilities and Duties Design, implement, and maintain robust test infrastructure and automation ...

innovation AI ENGINEERING LEAD ESSENTIAL SKILLS Strong commercial experience delivering AI solutions into production Excellent Python engineering skills Experience with Azure AI, Azure ML, Databricks, SageMaker, or similar cloud AI platforms Strong understanding of MLOps, CI/CD, and infrastructure automation Experience with LLMs, agentic frameworks, and modern AI tooling … client in conjunction with this vacancy only. KEY SKILLS AI Engineering Lead, Machine Learning, Artificial Intelligence, Python, Azure AI, Azure ML, Databricks, SageMaker, Bedrock, MLOps, CI/CD, LLMs, Agentic AI, Cloud Engineering, AI Architecture, Machine Learning Engineering ...

global travel technology company is seeking a Director of Machine Learning Science in Greater London. This role requires 12+ years in Machine Learning, along with 5+ years in management. Responsibilities include establishing machine learning roadmaps and utilizing modern technologies to enhance user experiences. ...

title: Senior Machine Learning Engineer Locations: Manchester or Haywards Heath (hybrid working) Role overview Markerstudy Group are looking for a Senior Machine Learning Engineer to help take leading-edge and novel insurance risk modelling and pricing techniques and participate in creating fully automated machine learning ...

quality measurement Embeddings, reranking, and retrieval orchestration Evaluation datasets, benchmarking, and annotation workflows Advanced programming skills in Python. Experience with modern AI/ML frameworks and tooling (e.g., PyTorch, Hugging Face, LangChain, LangGraph, Haystack). Experience working with large-scale datasets, distributed data/ML platforms, and production AI systems. … assistants. Familiarity with scientific, biomedical, or scholarly datasets and workflows. Experience with knowledge graphs, ontologies, or semantic enrichment systems. Exposure to production ML systems, MLOps, and AI governance practices. Publications or applied research contributions in NLP, IR, search, recommendation systems, or generative AI. Experience building AI systems in high-trust ...

only one Hotspur. Tottenham Hotspur. Role Purpose The Lead Data Scientist is responsible for leading the development and refinement of advanced statistical models and machine learning techniques, creating innovative metrics and diverse insights that enhance the analysis of player and team performance. They will be exploring new methodologies … ensuring seamless integration of data pipelines and analytics platforms. Skilled with cloud-based machine learning toolsets , such as PyTorch or equivalent ML frameworks, to leverage state-of-the-art cloud technologies for advanced analytical modelling." Understanding of CI/CD practices , including the use of repositories for versioning ...

## Machine Learning Integration EngineerApplylocations: Cambridge Office, United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: JR101685Darktrace is a global leader in AI for cybersecurity that keeps organizations ahead of the changing threat landscape every day. Founded in 2013, Darktrace provides the essential cybersecurity platform protecting nearly … that requires attendance in the Cambridge office at least 2 days a week.**What will I be doing:**As a Software Engineer focussing on ML integration, you will assist with the deployment and optimisation of new and innovative machine learning models to further improve Darktrace’s services ...

impact. You will also collaborate across teams to turn complex challenges into practical, production-ready solutions. Responsibilities Design, build, and evaluate advanced AI/ML, NLP, and generative AI solutions for scientific and knowledge-discovery applications. Develop LLM-powered workflows and retrieval-augmented generation (RAG) systems for search, summarization, question … experience in data science, AI, machine learning, NLP, information retrieval, or a related quantitative field. Strong hands-on experience building AI/ML, NLP, generative AI, and retrieval-based systems in applied or product-focused environments. Expertise working with LLMs, including fine-tuning, prompt engineering, grounding strategies ...

professionals to design, implement, and evaluate AI driven solutions. The successful candidate will be responsible for transforming complex healthcare data into meaningful insights, developing machine learning models, supporting clinical decision making, and ensuring that AI systems are safe, reliable, and aligned with ethical and regulatory standards. This position … innovation can have a direct and measurable impact on the quality of care provided to patients. Key Responsibilities Design, develop, and deploy AI and machine learning solutions for healthcare applications. Analyze clinical, operational, and patient data to identify opportunities for AI-driven improvements. Build predictive models, decision-support ...

/Machine Learning Engineer NLP/LLM - Contract Manchester, UK Job type Full-time Job Description AI/Machine Learning Engineer NLP/LLM - Contract Contract Duration: 6 months Rate: Up to £500 per day IR35: Outside Location: Fully remote, with occasional ad-hoc travel … office The Role: A technology-focused organisation is seeking a Contract Machine Learning Engineer/Data Scientist to support the de click apply for full job details ...

just proof-of-concept models Strong hands-on experience using Python as a primary programming language Experience working within Databricks (notebooks, pipelines, or ML workflows) A strong mathematical and statistical background , with confidence in applying theory to real commercial problems Role Overview You will lead the development and delivery … roles within a commercial environment Strong proficiency in Python and SQL Hands-on experience with Databricks in a production or enterprise setting Experience with ML pipelines, version control (Git), and CI/CD workflows Exposure to MLflow or similar model tracking/deployment tools Strong foundation in statistics, probability, linear ...

global leading business is hiring a Senior Machine Learning Engineer. Hybrid position. Paying up to £1000 per day. Outside IR35 Experience and skills required for the Senior Machine Learning Engineer, Quantisation, PEFT, DeepSpeed, ONNX, TensorRT, PyTorch, multi-LoRa, LoRA Exchange, TitanML ️ In depth experience with … following Machine Learning: Quantization, PEFT, DeepSpeed, ONNX, TensorR click apply for full job details ...

business stakeholders, you will lead the development and implementation of advanced AI solutions, leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, Machine Learning, and Azure AI services. You will provide technical leadership, establish best practices, and help build the organisation’s long-term AI capability. … Engineering, Machine Learning Engineering, Applied AI, or Data Science roles. Expert-level Python development skills and deep experience with modern AI/ML frameworks and SDKs. Proven experience designing and deploying production-grade RAG solutions and LLM-powered applications. Strong experience building and deploying AI agents, orchestration frameworks ...

search experience possible and building world-class job recommendation systems. Youll be working in a small team alongside colleagues with skills in different disciplines - learning from them and also sharing your data science expertise. We are constantly pushing the boundaries of what's possible in the HR tech space. … innovative, cutting-edge projects such as automated search-and-apply tools. Previously weve used our archive of over 4.5bn job vacancies to build proprietary ML models to estimate salaries from job descriptions () and also for CVs and resumes (). What You'll Do AI & Product Innovation Design, build, and deploy ...

join our growing Data & Technology team. This role offers the opportunity to work on a diverse range of projects, including advanced analytics, predictive modelling, machine learning, business intelligence, and process optimisation. A key part of the role will involve supporting the implementation of Oracle ERP and Warehouse Management … performance and support strategic decision-making. Key Responsibilities • Analyse large and complex datasets to identify trends, patterns, and business opportunities. • Design, develop, and deploy machine learning models to solve business challenges and improve decision-making. • Create dashboards, reports, and visualisations that provide actionable insights to stakeholders across ...

ensure consistent and reliable data collection. Cleanse, validate, and quality-check data to ensure accuracy and integrity. Support the development, refinement, and testing of machine learning models. Conduct practical validation activities to assess model accuracy and performance. Compare model outputs against real-world test results and recommend improvements. … collecting, analysing, and validating large data sets. Strong analytical and problem-solving skills. Knowledge of data cleansing, quality assurance, and validation techniques. Exposure to machine learning concepts and predictive modelling. Experience using tools such as Python, SQL, Power BI, Excel, or similar analytical platforms. An understanding of machine ...

investing heavily in AI-driven innovation. With strong backing and a clear product roadmap, they are focused on responsibly augmenting human data with advanced machine learning and synthetic intelligence. The Role Design, build, and deploy Generative AI and LLM-based solutions for synthetic data generation and data augmentation … Develop and validate statistical and machine learning methodologies to ensure data quality, reliability, and trust Work closely with Product and Engineering to take models from experimentation through to production Build systems that enhance real-world data rather than replace it, including open-text and structured outputs Communicate complex ...

vision of empowering people to make smarter financial decisions. You will:/p ul li Own the vision and long term strategy for our ML/Chat Product pillar/li li Lead three critical Machine Learning Product teams focusing on the following but not limited to Platform … cares about their team./li li Previous experience related to leading multiple product teams in the context of using machine learning (ML) and generative AI to solve customer problems./li/ul p Why Should I Apply?/p ul li We have a clear Product ...

role, you will help grow our AI and Data Science advisory capability, working alongside leading insurance market experts to design and deliver cutting edge machine learning and generative AI solutions for the world’s leading general insurers and intermediaries. The Role: As a data scientist, you will operate … intersection of advanced machine learning, generative AI, and insurance domain expertise. You will help shape, prototype, and scale AI-driven solutions that materially transform how insurers analyse risk, operate, and make decisions. Design, prototype, and build applied AI solutions — including agentic workflows — that enhance consulting delivery, unlock ...

products and solutions at the cutting edge of machine learning and AI. We are looking for a Director of AI/ML Engineering to lead a team focused on clinical AI. In this role you will lead a high-performing team of ML Engineers to design, develop … deploy production‐grade AI/ML products that accelerate GSK’s drug development programs. You will be accountable for building end‐to‐end clinical AI/ML solutions—from problem framing and data strategy, through model development and validation, to deployment and lifecycle management in production environments that support clinical ...

Month FTC, Manchester, COR7567 Are you a Senior Software Engineer with strong C++ and Python experience looking to work on cutting-edge AI and machine learning technology? The Role As a Senior Software Engineer, you'll play a key role in designing and developing software that powers advanced … biometric identification systems. Working across the full software lifecycle, you'll help build and optimise machine learning inference pipelines used in real-time systems. You'll develop production-grade applications in modern C++, contribute to automation and testing frameworks using Python, and help ensure systems are scalable, secure ...

provide technical leadership across the full lifecycle of machine learning systems powering a new matching platform. This role is accountable for defining ML architecture, establishing engineering standards, driving MLOps maturity, and ensuring that our models are scalable, secure, explainable, and governed to enterprise‐grade standards. You will contribute … strategic direction of our ML platform—spanning data pipelines, model development, deployment automation, inference runtime design, telemetry, drift detection, and cross‐account productionisation. You will mentor engineers, influence product and architectural decisions, and ensure that our ML systems operate reliably at scale, underpinned by a robust governance and compliance framework. ...

systems that support critical national security outcomes. Working within our Space, Defence and Intelligence business unit, you will help design and deliver secure, scalable machine learning platforms that power innovation across mission-critical environments. We combine deep sector expertise with emerging technologies and collaborative delivery to create impactful … Terraform) •Understanding of CI/CD pipelines and DevSecOps practices •Experience with platforms such as VMware, OpenShift or OpenStack (desirable) •Exposure to AI/ML workloads, GPU environments, or secure/air-gapped systems (advantageous) #LI-SB2 Together, as owners, let's turn meaningful insights into action. Life ...

Senior Java Software Engineer - Java Developer, Python, AWS, MySQL, NoSql, REST APIs, Microservices, Machine Learning, Artificial intelligence (Hybrid - 3 days a week in the office - Notting Hill) Description for the Senior Java Software Engineer role:- You will be joining a fast-growing, research-driven company building an artificial … intelligence using novel machine learning techniques. My client is revolutionising their industry with a track record of building things that others have ruled out as impossible. The Java Software engineer will join a very bright, talented team of engineers with the guidance of technologists who have help build ...

stakeholder facing, upwards and downwards management and technical understanding. You'll lead a growing Data science function responsible for delivering real-world AI, machine learning and data science solutions across a complex professional services environment. The challenge is not simply building models. It's understanding business problems, translating … them into practical solutions, and helping senior stakeholders understand exactly how technology can create value. The team is already delivering across machine learning, GenAI, document intelligence, search, retrieval, automation and knowledge management. The next phase involves expanding AI capability, shaping a longer-term roadmap around emerging technologies such ...