126 to 150 of 1,023 Machine Learning Jobs in the UK excluding London

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

experienced Senior Data Scientist/Engineer to lead the development of a next-generation customer identity resolution platform. This role combines advanced data science, machine learning, and platform engineering expertise to create a trusted customer golden record and improve the quality, governance, and usability of customer data across … initiatives. Essential Skills & Experience Strong experience with graph-based identity resolution and entity matching. Expertise in record linkage and fuzzy matching techniques. Experience building ML-driven identity resolution models. Strong understanding of Customer Master Data Management (MDM). Experience with feature stores and modern machine learning platforms. Proven ...

exploratory research into AI methods and approaches, bespoke solutions to complex customer problems, and infrastructure projects working across large customer datasets. As a Senior ML Engineer, you will design, develop, and iterate on machine learning models that support national security objectives. You will collaborate with Data Scientists, Software … experiments, track results, and deliver scalable solutions. A key aspect to the role is to balance rapid experimentation with production readiness, prototyping and validating ML approaches while ensuring successful experiments integrate seamlessly into operational systems. This is an exciting time to join our team to help pioneer both our customer ...

areas of expertise, including Machine Learning, Applied AI, Generative AI, LLMs, RAG and Agentic AI. Key Responsibilities Design and develop AI/ML solutions from early-stage concepts through to production. Develop, evaluate and integrate AI/ML models and applications. Work across modern AI technologies including LLMs … Python and software engineering skills. Solid understanding of core AI and Machine Learning concepts. Hands-on experience developing and delivering AI/ML solutions. Good understanding of how AI/ML models work, rather than simply using pre-built models as black-box components. Degree in Computer Science ...

operational users to develop and deploy analytics solutions that enable insight and mission advantage. Typical engagements include: Intelligence data exploitation and advanced analytics ML model development and optimisation Natural Language Processing (NLP), data matching and pattern detection Data triage and automated analysis of large datasets Operational decision-support systems … deploy AI and machine learning solutions to analyse complex structured and unstructured data. Build and maintain scalable data and AI/ML pipelines to support advanced analytics and automated insight generation. Apply a range of data science techniques including machine learning, statistical modelling, deep learning ...

detect financial crime, prevent fraud, and safeguard our customers. Working closely with data scientists, engineers, and senior technical colleagues, you will contribute to scalable ML pipelines, agentic AI systems, production-grade model code, and robust monitoring solutions. You will support delivery across the AI/ML lifecyclefrom data exploration … models Experience with deep learning or NLP frameworks, such as PyTorch or Hugging Face Good understanding of software engineering principles, design patterns, and ML lifecycle practices, including MLOps or LLMOps Experience contributing to the delivery of AI or ML projects and working effectively with technical and business stakeholders Some ...

large-scale digital platform. Design, build, and evaluate new search and sort order methodologies to optimise relevance and customer engagement. Develop and apply learning-to-rank and machine learning approaches to improve search outcomes. Run A/B tests, analyse results, and measure performance against key business … metrics including conversion, click-through rate, and revenue impact. Build dashboards and reporting tools to communicate experiment outcomes and recommendations to stakeholders. Deploy machine learning solutions into production environments and support ongoing optimisation. Your Skills & Experience Strong experience using Python and SQL for data science and analytics. Experience ...

accounts. Roku pioneered streaming to the TV and continues to innovate and lead the industry. The depth of query, content, and user understanding using ML is key to user happiness on the search and discovery journey, and this team owns the models that power it across the Roku platform. What … role? The depth of query, content and user understanding using ML is key to user happiness in their search journey. Solving this customer problem is why we're actively looking for a Senior Machine Learning Engineer, Search & Recommendations to drive further innovation in search and discovery. The person ...

Machine Learning/ML Ops Engineer Outside IR35: £500 - 625 p/d Active SC Clearance Required 4 days a week into East London 6 months initial contract, long term programme The Role We're looking for a Senior MLOps Engineer to build and run the infrastructure that … programme in the defence and security sector. This is a hands-on role, and you'll have real influence over the architecture of the ML platform. What you'll do Design and maintain ML training pipelines, including distributed training at scale Build experiment tracking, model registry and data versioning capability ...

Literacy, Data Quality, Data Science, Data Visualization, Deep Learning, Generative AI, Graph Algorithms, Learning Agility, Logistic Regression Models, Machine Learning (ML), Machine Learning Algorithms, Neuro-Linguistic Programming (NLP), Pandas Python Library, Python (Programming Language), R Programming, Stakeholder Engagement, Statistical Analysis, Structured Query Language ...

with world class engineers, data scientists, and researchers to shape the future of secure authentication. What you will be doing: Participate in hands-on machine learning research and deliver the results of the research in the form of new products. Communicate your results to the Science team, Engineering … Product teams Participate in the machine learning life of the team (reading groups, etc.) Learn best machine learning practices from a team of senior applied scientists Essential Skills: Formal training in machine learning and computer vision Coding experience in python Experience working with ...

Team: Machine Learning Location: London (On-site; Liverpool Street) Employment Type: Full-time and Permanent Remuneration: £120 - 160k 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 … passionate about data and enjoy solving complex challenges, we would love to hear from you. Nice to have: Publications: At top-tier ML/CV/NLP conferences (NeurIPS, ICML, ICLR, CVPR, ICCV) Open-source: Contributions to and experience in open-source projects. Startup experience: Experience with a startup work ...

Team: Machine Learning Location: London (On-site; Liverpool Street) Employment Type: Full-time and Permanent Remuneration: £70 - 90k 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 … passionate about data and enjoy solving complex challenges, we would love to hear from you. Nice to have: Publications: At top-tier ML/CV/NLP conferences (NeurIPS, ICML, ICLR, CVPR, ICCV) Open-source: Contributions to and experience in open-source projects. Startup experience: Experience with a startup work ...

Working as part of our AI and engineering community, you will contribute to live projects across the machine learning lifecycle, collaborating with software, data, systems and domain specialists to turn needs into secure, maintainable solutions. Role Preparing, exploring and validating data for machine learning use cases … Developing and evaluating machine learning models and AI-enabled software components Writing clean, tested and documented code using appropriate engineering tools and practices Supporting model integration, deployment, monitoring and performance improvement Contributing to technical reviews, experiments and structured problem solving Working with experienced engineers and researchers on live ...

strategy, implementation details and results through internal and external presentations, posters, publications, and technical documentation. Essential Requirements: BS or MS in AI/ML, data science/engineering, computational biology, bioinformatics, computer science/engineering, mathematics, physics, or a related discipline, with 3+ years of hands-on experience in scientific … data science or engineering, AI/ML, computational research within the biopharma and/or technology industry. We will also consider qualified recent PhD graduates (within last 2 years).Experience building and operating production-grade multimodal data platforms for scientific analysis: omics data, data modeling, patient metadata, lineage, access controls ...

leading Consultancy supplying into the Public Sector for an experienced Machine Learning Engineer with SC Clearance. Key Responsibilities: Develop and optimise ML models for personalisation and recommendations Build scalable data pipelines and feature engineering workflows Deploy, monitor and optimise ML models in production Lead A/B testing … experimentation to improve model performance Collaborate with cross-functional teams to deliver ML solutions Evaluate and apply emerging ML and deep learning techniques Key Skills Required: Machine Learning/Deep Learning Recommendation & Personalisation Systems Data Pipelines & Feature Engineering MLOps & Production Deployment A/B Testing & Experimentation ...

Technical Lead - AI/ML & Computer Vision | Defence Technology We are seeking an experienced AI/ML Technical Lead to lead the engineering delivery of an advanced computer vision and machine learning platform for a high-profile UK defence technology programme. Working with a specialist AI organisation … leadership position, combining advanced machine learning engineering, architecture and delivery oversight. Key Responsibilities Provide technical leadership to a team of AI/ML and MLOps Engineers. Lead the design, optimisation and deployment of advanced computer vision and deep learning systems. Oversee scalable ML training, inference and deployment ...

experience. Advanced data science and machine learning experience. Strong statistical modelling experience. Strong hands-on Python and SQL skills. Experience with common ML/data science frameworks. Experience developing models for threat detection and anomaly detection . Experience with security risk analytics . Strong feature engineering experience. Experience … accuracy and robustness. Experience with model explainability . Experience with model drift monitoring . Understanding of responsible AI . Experience taking data science/ML use cases into production. Strong analytical communication and stakeholder management skills. Desirable Data science, machine learning or cloud AI certification. CISSP, Security+ ...

Automation theme covers all methods and technology that bring digitisation and optimisation of energy to scale using complex algorithms based on data science, machine learning, and the full spectrum of AI techniques (e.g. generative, agentic, etc). Specifically, the role entails: Leading and developing a team of research … domain such as Computer Science, Electrical Engineering, Control Systems, or a related field Experience across a spectrum of libraries, frameworks and services : such as ML libraries e.g. TensorFlow or PyTorch; model servers such as AWS Bedrock; MLOps such as ML Flow or Sagemaker; agent/AI orchestration such as LangGraph ...

into real-world AI adoption. This position would suit someone who combines strong software engineering and data engineering foundations with hands-on AI and machine learning experience and a passion for building scalable, production-ready solutions. Key Responsibilities Design and build applied AI and machine learning … applications, RAG solutions, AI agents and workflow automation tools. Build and maintain scalable data pipelines, feature pipelines and model training workflows. Productionise AI and machine learning solutions using MLOps and LLMOps best practices. Implement monitoring, testing, evaluation and observability frameworks for AI systems. Integrate AI solutions with cloud ...

including agency fees London | Hybrid This is an opportunity to work on a high-impact data engineering project at the intersection of AI, machine learning, and large-scale data platforms. You will help build and enhance critical data products that support advanced analytics and scientific innovation, using modern … cloud technologies and engineering best practices. The Company They are a global organisation investing heavily in data, AI, and machine learning to drive innovation across complex scientific and business challenges. Their teams combine strong engineering practices with cutting-edge technology to deliver scalable, data-driven solutions. You will ...

London | £40,000 - £60,000 This is an opportunity to join a growing data science team where you'll work on end-to-end machine learning solutions that directly influence lending decisions, risk management, and commercial performance. You'll collaborate with decision science, credit strategy, engineering, and product … teams, solving complex business challenges through advanced analytics and machine learning. THE COMPANY This fast-growing financial technology business leverages data, automation, and machine learning to deliver innovative funding solutions to businesses at scale. Operating in a highly analytical environment, they place data science at the heart ...