126 to 150 of 1,323 Machine Learning Jobs in the UK

with large, complex datasets to support AI-driven products and insights 🧠 Assist with feature engineering, model experimentation, and performance optimisation ☁️ Contribute to data and ML pipelines in cloud-based environments 🗄 Work with structured and semi-structured data using SQL 🚀 Support the deployment and monitoring of models in production environments 🤝 Collaborate … years of experience in AI, machine learning, or software/data engineering (including internships, placements, or academic projects) 🐍 Strong Python skills for ML and data processing 🗄 Experience working with SQL and structured datasets ☁️ Familiarity with cloud platforms and modern data stacks 🧠 A solid understanding of machine learning ...

most value. This role combines hands-on technical work with the opportunity to influence strategy, tooling and ways of working , particularly around AI and ML adoption. You’ll be involved across the full lifecycle, from problem definition and experimentation through to deployment, governance and ongoing optimisation. What … data team Collaborating with Product and Engineering on strategic AI-driven initiatives Identifying and developing high-impact use cases for data science and ML Helping define ML lifecycle standards, documentation and governance Communicating insights and model outputs clearly to technical and non-technical stakeholders What we’re looking for Essential ...

Machine Learning Engineer | Early Stage Deep Tech Start Up | London I am partnered with an early stage, London based start up that is building an AI native intelligence layer for private market investing. The platform transforms fragmented documents, deal histories, and proprietary investment data into structured, searchable intelligence … private equity, venture capital, and private credit teams. They are hiring a Founding Machine Learning Engineer to join at early stage, with real ownership over both the core technology and the product direction. This role suits someone with a strong academic background from a leading university , alongside clear ...

Title: AI/ML Research Engineer (London, UK) Location : Must be based London, UK Employment Type : Permanent Work Model : Hybrid (London) Introduction: Our client (international) is a collection of engineers and designers who want the world to connect beautifully. Their team first came together to build one of the world … every day and they're putting this knowledge to work, engineering and designing better ways to connect. They are establishing a new AI/ML engineering team in London to extend these capabilities. This is a foundational role, you will be among the first hires, helping to shape the technical ...

responsible for the "factory" that allows our models to live, breathe, and perform in high-pressure production environments across various industries. Key Responsibilities ML Systems Architecture: Design and implement the end-to-end lifecycle of ML models, including automated retraining, model versioning, and monitoring systems. Productionalization: Take validated prototypes from … significant plus. Tooling & Orchestration: Deep experience with containerization (Docker, Kubernetes) and orchestration tools like Kubeflow, Airflow, or Metaflow. Cloud Architecture: Expertise in deploying ML workloads on AWS, GCP, or Azure, utilizing managed services like SageMaker or Vertex AI. Data Foundations: Strong understanding of data modeling, feature stores, and distributed computing ...

Data Scientist Specialist , you will: Work at the forefront of GenAI, machine learning, and advanced analytics Design, build, and deploy LLMs and ML models in cloud and high-performance computing environments Lead day-to-day technical delivery on projects, supporting and guiding small teams … continuous improvement, innovation, and knowledge sharing Support the performance management and development of junior team members Key Responsibilities Design and deploy secure, scalable ML and GenAI solutions Apply robust software engineering practices to data science delivery Build reproducible ML pipelines using modern MLOps practices Ensure solutions align with data governance ...

computer vision Hands-on experience training and deploying object detection or segmentation models such as YOLO or similar architectures Proficiency in Python and common ML and computer vision libraries Experience working with large image datasets and noisy real-world data Ability to translate operational or business problems into measurable ML … objectives Comfortable working in an iterative, delivery-focused engineering environment What's in it for me? Ownership of an end-to-end ML problem with real operational impact Opportunity to build and scale production computer vision systems Work with cross-functional teams spanning data, operations and platform engineering Exposure ...

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 ...

Lead Machine Learning Engineer Up to 145k Xcede has just partnered with one of the UK’s most established applied AI companies to support the growth of their senior engineering leadership team. This is a principal-level technical role for someone who wants to shape how large-scale … delivery programmes Confident communicator able to influence executive stakeholders and align business and engineering priorities If you are interested in this or other Lead Ml Engineering positions, please contact Gilad Sabari @ gilad.sabari@xcede.com ...

partners to develop your career and the solutions we deliver for our clients. In this role you will: Solve challenging business problems using advanced machine learning methods such as Deep Learning and quantitative analytics. Understand business requirements and support the development of business cases. Run discovery analytics … identify new and innovative opportunities. Partner with developers and engineers to deploy machine learning algorithms to deliver business value. Define approaches to embed and scale machine learning models. Build reusable assets, solutions and develop best practices for current and future business problems. Consult on complex analyses ...

Machine Learning Engineer, you will play a key role in designing, developing, and implementing machine learning models and algorithms tailored to address specific national security requirements. This position requires expertise in machine learning, data analysis, and a commitment to pushing the boundaries of technology ...

Machine Learning Engineer, you will play a key role in designing, developing, and implementing machine learning models and algorithms tailored to address specific national security requirements. This position requires expertise in machine learning, data analysis, and a commitment to pushing the boundaries of technology ...

operational environments. The work is practical, fast-moving and delivery-focused, with models moving into production rather than remaining in research. Ideal for an ML engineer who enjoys solving messy, real-world problems and driving measurable performance improvements. Responsibilities Design, train and optimise computer vision models for vehicle damage detection … computer vision Hands-on experience training and deploying object detection or segmentation models such as YOLO or similar architectures Proficiency in Python and common ML and computer vision libraries Experience working with large image datasets and noisy real-world data Ability to translate operational or business problems into measurable ML ...

predictive modelling to optimise trading strategies and improve market performance. You’ll collaborate closely with traders, engineers, and fellow data specialists to bring ML solutions from concept to production, leveraging the latest tools in Azure and Azure ML. The Toolset Python – your primary language for modelling and analysis … efficient data extraction and manipulation Machine Learning – applied to real-world trading and forecasting problems Azure & Azure ML – for model deployment and pipeline management What We’re Looking For Experience as a Data Scientist or ML Engineer, providing business value Strong programming skills in Python (pandas, NumPy, scikit ...

client, a global consultancy, is seeking Machine Learning Consultants to join their innovative and growing analytics team. You’ll collaborate with top-tier professionals to design and build cutting-edge models that turn data into actionable strategies for some of the world’s most influential organisations. What … Build, test, and deploy advanced machine learning and mathematical models to tackle real-world business challenges. Work closely with clients to deeply understand their needs, diagnose key issues, and translate them into structured analytical solutions. Communicate technical insights in a clear, compelling way to non-technical stakeholders. Collaborate ...

growing fintech business. This is a greenfield opportunity. You’ll help design the analytical data layer, build MI and insight capability, and apply machine learning and AI techniques to real business problems in a regulated environment. You won’t be joining a large, established data team, instead … Developing and maintaining machine learning models (Python-based) Working with structured and unstructured data, including behavioural and transactional datasets Applying AI/ML techniques pragmatically to real-world business use cases Collaborating closely with software engineers to productionise data and models Communicating insights clearly to non-technical stakeholders ...

preparing data from multiple sources Designing and implementing data models and algorithms to address business challenges Building, testing, and deploying predictive analytics and machine learning solutions Visualising data and communicating insights clearly to technical and non-technical stakeholders Ensuring data integrity, security, and compliance with internal policies … related discipline Strong proficiency in Python or R for data analysis Experience working with SQL and relational databases Proven experience building and deploying machine learning models Desirable Experience using a major cloud platform Exposure to big data technologies (e.g. distributed data processing frameworks) Experience with data visualisation tools ...

customers. She will pick the best candidates from Jack's network. The next step is to speak to Jack. Senior Machine Learning Engineer Company Description: VC-backed healthtech startup Job Description: You will be one of the first hires at a mission-driven startup redefining personalized healthcare. … Collaborate with cross-functional teams to ship impactful features quickly while ensuring safety and technical rigor. The ideal candidate: Strong background in Python and ML libraries like PyTorch or TensorFlow, with experience in supervised and reinforcement learning. Hands-on expertise in fine-tuning Large Language Models, prompt engineering, and deploying ...

Leeds City Centre with a hybrid setup (2 days per week in-office). Their work sits at the intersection of data science, machine learning, and real-world problem solving. They help organisations ask better questions of their data, and then build the models, tools, and insight … environment, with opportunities to support other data platforms over time. In practice, that means you’ll: Design, build, test, and deploy data science and machine learning models inside client data environments. Create prototypes and proof-of-concepts to explore ideas, test assumptions, and shape future solutions. Translate fuzzy ...

someone who enjoys technical depth, variety, and ownership, and who is comfortable applying the right techniques to each problem - from statistical analysis through to machine learning and deep learning models. You’ll join a small, high-calibre team that values autonomy, flexibility and technical excellence. The environment … actionable data science solutions. Owning the full data science lifecycle, from data ingestion and feature engineering through to modelling, evaluation and deployment. Developing statistical, machine learning and deep learning models to support high-impact, real-world decision making. Working with large, structured and unstructured datasets, combining ...

someone who enjoys technical depth, variety, and ownership, and who is comfortable applying the right techniques to each problem - from statistical analysis through to machine learning and deep learning models. You’ll join a small, high-calibre team that values autonomy, flexibility and technical excellence. The environment … actionable data science solutions. Owning the full data science lifecycle, from data ingestion and feature engineering through to modelling, evaluation and deployment. Developing statistical, machine learning and deep learning models to support high-impact, real-world decision making. Working with large, structured and unstructured datasets, combining ...

used across entertainment, engineering, and scientific applications. This role focuses on maximising GPU-based processing performance, including real-time data handling, image processing, and machine learning workloads. You will join a collaborative software engineering team and work closely with machine learning and research specialists … implement high-performance algorithms using CUDA Manage host–device interactions, including memory management, data transfer optimisation, and multi-GPU support Deploy and optimise machine learning models using TensorRT within C++ applications Profile and optimise GPU workloads using NVIDIA Nsight Systems and Nsight Compute Configure GPU hardware and software ...

range of Database and Storage technologies e.g. Elastic, Mongo, Cassandra, Redis, S3 Nice to have requirements: PyTorch, Artificial Intelligence(AI), Machine Learning(ML), Natural Language Processing(NLP), Data Handling, Large Language Model(LLM), Atlassian Suite, GitHub, Linux CLI, Any additional knowledge of Artificial Intelligence (AI), Machine Learning (ML) and Natural Language Processing (NLP) is highly desirable. Working with our UK Central Government client you will be part of a brand-new project focusing on blue sky dev work. Due to the highly sensitive nature of this project we are seeking DV cleared individuals with willingness ...

prior professional experience is required—what matters is curiosity, problem-solving skills, and passion for AI. What You’ll Do Implement, train, and optimize ML models (supervised, unsupervised, reinforcement learning) Preprocess data, engineer features, and evaluate model performance Deploy models to production and monitor performance Collaborate with cross-functional … teams to integrate AI solutions Learn and apply the latest ML/AI research and tools You Should Have Recently completed or soon-to-be completed Bachelor’s or Master’s in Computer Science, Data Science, AI, Statistics, or related field Strong programming skills in Python (and optionally R, Java ...

leading technology consultancy is seeking an experienced Machine Learning Operations Engineer to help deploy AI/ML solutions into production environments across a range of client engagements. This role is focused on operationalising models (MLOps/AIOps), rather than building ML applications from scratch. Key Responsibilities Design … develop machine learning operational processes across diverse client environments Analyse client requirements and provide clear technical recommendations Manage the full ML lifecycle, including data selection, model deployment, operationalisation, and monitoring Develop Infrastructure as Code for ML platforms using AWS CDK Collaborate closely with data scientists to productionise ML ...