401 to 425 of 1,447 Machine Learning Jobs in the UK

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 ...

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. Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. … 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 ...

predictive methods to client data about their customer behavior particularly in relation to marketing, website interactions and online conversions. We primarily use Python, classical ML techniques, and rapid iteration leveraging AI. Our methods require custom adaptations in terms of methods, features, optimization methods, and ML algorithm selection, as well … science expertise and work on a variety of genuinely interesting client projects. Key responsibilities include, but are not limited to: Manage data science and ML projects so that technical goals are met within a reasonable agreed timeframe. Communicate clearly about your work with clients and to help other team members ...

/ML Computational Scientist, you will design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients, combining custom models with cloud and third-party AI services to deliver production-ready outcomes. Your role spans the full solution lifecycle — assessing client needs and data, selecting … include big data, high-performance compute, engineering simulations, scientific compute, grid and cloud computing, distributed networks experience in building and deploying AI/ML based software to a cloud environment. PREFERRED QUALIFICATION Proficiency in Python and python-based AI/ML framework and familiarity with relevant libraries and frameworks (e.g. ...

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 ...

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 ...

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 ...

Learning and AI. We're looking for a highly skilled software engineer to help us make this vision a reality. The AI/ML team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and we're motivated to make … one. Key responsibilities Back end development for a Python web application Infrastructure definition and deployment within the clients cloud environment Integration of AI/ML components with frontend, data and compute infrastructure Responsible for high quality software implementations according to best practices, including automated test suites and documentation Develop, measure ...

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 ...

framework. You will collaborate closely with cross-functional teams, including engineering, product, and security operations. Key Responsibilities: Lead the development and deployment of advanced machine learning models to detect, predict, and mitigate account takeover attempts. Analyse large volumes of data to identify trends, patterns, and anomalies associated with … tools to support real-time detection and response to ATO and Send Scam threats. Stay informed about the latest advancements in data science, machine learning, and fraud prevention techniques to ensure state-of-the-art capabilities in ATO and Send Scam. Mentor and guide junior data scientists, fostering ...

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 ...

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 ...

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 ...

lead development and deployment of cutting-edge AI systems for our diverse clients. You'll design, build, and deploy scalable, production-grade ML software and infrastructure that meets rigorous operational and ethical standards. You will lead the bridge between AI research and real-world impact by architecting scalable, production-grade … reinforce our industry leadership in practical, high-stakes AI safety. What you'll be doing: Leading technical scoping and architectural decisions for high-impact ML systems and capability testing of Frontier AI modelsDesigning and building production-grade ML software, tools, and scalable infrastructureDefining and implementing best practices and standards ...

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 ...

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 ...

Opportunity A leading financial consultancy is seeking a Senior AI & ML Engineer to lead the design, development and deployment of cutting-edge AI, Machine Learning and Generative AI solutions. You'll play a key role in shaping technical strategy, building production-grade AI systems and driving engineering best … practices across complex client engagements. Key Responsibilities Lead the design and delivery of AI, Machine Learning, Agentic AI and RAG-based solutions. Build and deploy production-grade models using Python, PyTorch and modern transformer architectures. Design scalable MLOps frameworks, CI/CD pipelines and model deployment strategies. Develop ...

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 ...

questions about our services and the people who use them, designing studies that produce robust evidence with actionable reports Analyse large-scale text: Apply ML and NLP methods to large volumes of free-text data, such as conversations from our crisis, peer support and counselling services, with careful attention … audiences, and contribute to reports, publications and presentations Person Specification Essential A PhD or equivalent experience in a quantitative field, such as computer science, machine learning, statistics, physics, computational neuroscience or quantitative psychology, and a track record of high-quality, well-tested and reproducible technical work you have ...

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 ...

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 ...

solutions within a complex medical imaging environment. This is an opportunity to work on innovative projects at the intersection of data engineering, cloud computing, machine learning, and healthcare research. The successful candidate will have a proven track record … delivering production-grade data products, designing robust cloud-based pipelines, and working with large, complex datasets. You'll collaborate closely with data scientists, ML engineers, and domain experts to create analysis-ready datasets that power advanced AI and machine learning initiatives. Key Responsibilities Design, build, and automate scalable ...