101 to 125 of 2,469 Machine Learning Jobs in the UK excluding London

Are you a Machine Learning Engineer looking to shape the future of game development? We are looking for a Machine Learning Engineer to join a talented team, using cutting-edge AI to create innovative and immersive game worlds. If you have experience in machine learning, generative models, and software engineering , this is an opportunity to work on projects enjoyed by millions. Key Responsibilities: Develop and implement machine learning-driven features to generate dynamic game worlds Contribute to a collaborative, ambitious, and creative development team Design and iterate on new features, incorporating feedback … from peers Work independently while effectively managing priorities and workload What You'll Need: Strong software engineering skills Experience in machine learning engineering , with proficiency in modern libraries such as PyTorch Deep understanding of generative diffusion models and VAEs Ability to work autonomously, identifying and prioritising key tasks More ❯

We are seeking a talented Machine Learning (ML) Scientist to join a groundbreaking initiative to develop Digital Twins for rare diseases. You will work within a multidisciplinary project team, across the Open Targets, Molecular Systems and Petsalaki research groups at the EMBL European Bioinformatics Institute (EMBL-EBI). … the aim of developing rare disease Digital Twins to provide new insights into disease mechanisms and potential treatments. The role involves designing and implementing ML models that integrate multi-omics data and clinically relevant endpoints, contributing to the creation of virtual patient models to simulate disease trajectories and therapeutic responses. … This is a unique opportunity to develop and apply advanced ML methodologies and significantly contribute to understanding rare disease biology, enabling applications such as diagnosis, drug repurposing, and new treatment development. Your role The ML Modeller's primary tasks include developing and applying advanced ML and GenAI frameworks to integrate More ❯

events globally, developing new experiences and insights that power the future of sports. In this role, you will: Deliver at scale: Build and deploy ML models across cloud and edge platforms, scaling to thousands of simultaneous matches. Lead impactful projects: Own and drive initiatives that directly enhance the experience for … Python and/or C++, plus proficiency with Kubernetes, TensorRT, Nvidia DeepStream, Nvidia Jetson, and AWS. Product-minded approach: Demonstrated success delivering AI/ML products in collaboration with cross-functional product teams. Scalable systems expertise: Solid track record building and managing AI/ML systems in production environments at … scale. Nice to Have: Sports tech experience: Background applying AI/ML in the sports domain for data generation or insights. Systems optimisation: Knowledge of GPU kernel development (CUDA, OpenCL, etc.), real-time system optimisation (e.g., Nvidia NSight), or experience working with embedded SoCs (Nvidia, Qualcomm, etc.). If you More ❯

and optimising Azure Data Factory (ADF) pipelines, working with SQL Server (designing and populating data schemas), Azure Data Lake, and Power BI, and integrating machine learning and AI models into our data processes. Experience with Azure Synapse Analytics is beneficial as we explore future capabilities. Collaboration is central … and performance. ETL Development: Skilled in designing and optimising ETL workflows, with knowledge of best practices for data transformation, validation, and loading. Data Analytics & Machine Learning Power BI: Proficiency in developing, publishing, and managing Power BI reports and dashboards, with strong data visualisation skills. SQL & Data Management: Advanced … knowledge of SQL for querying, transforming, and managing data, with hands-on experience in SQL Management Studio. Azure Machine Learning: Some experience desirable in implementing machine learning models within Azure Machine Learning to enhance reporting and predictive analytics. Data Storage & Processing Azure Data Lake More ❯

Job Specification: Machine Learning Engineer (NLP) (Pytorch) Location: Bristol, UK (Hybrid - 2 days per week in the office) About the Role I'm looking for an NLP Engineer to join a forward-thinking company that specialises in advanced risk analytics and machine learning. This is a great … apply them to improve existing models. Build and maintain scalable data pipelines for processing both structured and unstructured data efficiently. Evaluate and fine-tune machine learning models to ensure optimal performance. Ensure models and data pipelines adhere to best practices for security, robustness, and compliance. Document processes and … of machine learning algorithms and NLP techniques, with hands-on experience in either academia or industry. Proficiency in Python and experience with ML/NLP libraries like TensorFlow, PyTorch, scikit-learn, or Hugging Face. Experience working with cloud platforms such as AWS, GCP, or Azure. Familiarity with advanced More ❯

An exceptional opportunity for a Machine Learning Engineer (with Full-Stack experience) to join an innovative market leader at the forefront of developing next-generation solutions that transform digital interactions. The role will focus on projects to leverage state-of-the-art generative AI, retrieval-augmented generation (RAG … and reasoning frameworks to build intelligent and context-aware systems. We are seeking talented Machine Learning Engineers with full-stack software development experience to join our client's team and help shape the future of AI-powered automation. Within this dynamic role varied duties will include: Search relevancy … workloads on AWS using services like SageMaker, Bedrock, Lambda, S3, DynamoDB, ECS, and EKS. End-to-End AI Product Development : Work across the full ML lifecycle, from data collection and preprocessing to model evaluation, deployment, and monitoring. Full-Stack Integration : Develop APIs and integrate ML models into web applications using More ❯

An exceptional opportunity for a Machine Learning Engineer (with Full-Stack experience) to join an innovative market leader at the forefront of developing next-generation solutions that transform digital interactions. The role will focus on projects to leverage state-of-the-art generative AI, retrieval-augmented generation (RAG … and reasoning frameworks to build intelligent and context-aware systems. We are seeking talented Machine Learning Engineers with full-stack software development experience to join our client's team and help shape the future of AI-powered automation. Within this dynamic role varied duties will include: Search relevancy … workloads on AWS using services like SageMaker, Bedrock, Lambda, S3, DynamoDB, ECS, and EKS. End-to-End AI Product Development : Work across the full ML lifecycle, from data collection and preprocessing to model evaluation, deployment, and monitoring. Full-Stack Integration : Develop APIs and integrate ML models into web applications using More ❯

with client needs for impactful and effective implementations. Advocate for the adoption of cutting-edge data technologies and methodologies, including AI-driven data processing, machine learning pipelines, and automated data integration. Partner with developers and engineers to deploy machine learning algorithms to deliver business value. Design … reusable assets, solutions and develop best practices for current and future business problems. Consult on complex analyses and advanced machine learning methods. Communicate and provide guidance to senior client leadership and teams. Shape AI Strategy and the delivery of LLM based solutions. Operate across multiple industries and functions. … management, with a focus on scalable deployments on platforms such as AWS, GCP, and Azure. Extensive hands-on experience with cloud-based AI/ML solutions and programming languages (e.g., Python, PySpark), data modelling, and microservices. Proficient in LLM orchestration on platforms such as OpenAI on Azure, AWS Bedrock, GCP More ❯

Are you passionate about applying machine learning and statistical modeling to revolutionize financial systems that handle billions of dollars in transactions? Our team faces a unique challenge: developing intelligent systems to process, analyze, and derive insights from massive financial datasets generated across Amazon's global operations. This includes … Develop automated decision-making systems for financial workflows Create scalable algorithms that balance accuracy, latency, and computational efficiency Collaborate with software engineers to productionize ML models The ideal candidate will have: Experience in machine learning, statistical modeling, and data analysis Experience with large-scale distributed systems and cloud … ensuring accurate handling of financial claims while maintaining strong vendor relationships. BASIC QUALIFICATIONS PhD, or Master's degree and 5+ years of CS, CE, ML or related field experience Experience programming in Java, C++, Python or related language Experience in any of the following areas: algorithms and data structures, parsing More ❯

Data Scientist - Manchester Data Scientist with experience of creating financial models, machine learning, SQL, Python and forecasting experience is required by a leading company in Manchester. As the Data Scientist, you will be responsible for defining & shaping of all financial modelling and forecasting to enhance decision making, deliver … growth. Tools wise they are using SQL, Python & R, so you should ideally have strong experience in these areas, especially SQL Any experience of Machine Learning would be a big advantage as this is an area that they want to move into, so something that will huge for … them in the coming years Experience required Proven predictive modelling, forecasting and analytical experience with strong SQL, Python & R skills Some awareness of Machine Learning and the advantages of using machine learning to increase efficiency in the data moving forward Experience with ecommerce is ideal as More ❯

led to winning a number of key pieces of work that they are excited to deliver! They are looking for a number of specialists Machine Learning experience to work closely with their clients to drive innovation and solve problems. This role would suit someone who has worked in … from concept through to delivery Create innovative solutions based on research of new and existing technologies Solve complex problems by applying data science and machine learning techniques Apply data science and machine learning techniques creatively to solve complex problems Work with the customer’s data scientists … the Principal Data Scientist role, however you will not be expected to have everything: Knowledge of Defence or National Security customers and their needs Machine learning experience and ability to work with unstructured data Experience applying data science and/or machine learning to customer problems More ❯

Applied Scientist II (Machine Learning), ITA - Automated Performance Evaluation Sector: Data Science, Project and Program Management, Science and Pharmaceutical Role: Professional Contract Type: Permanent Hours: Full Time DESCRIPTION Do you want a role with deep meaning and the ability to make a major impact? As part of Intelligent … right location and at exactly the right time. You'll work on state-of-the-art research, advanced software tools, new AI systems, and machine learning algorithms, leveraging Amazon's in-house tech stack to bring innovative solutions to life. Join ITA in using technologies to transform the … services for use in the HR and Recruiting functions at Amazon. BASIC QUALIFICATIONS - PhD, or a Master's degree and experience in CS, CE, ML or related field - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language More ❯

Pathology up to functional analysis In Vivo. We will enable and accelerate the Altos mission by leveraging state of the art computer vision and machine learning, and collaborating with MLOps at Altos to make all our models easily trainable, findable, interpretable, and accessible across diverse research groups. Responsibilities … performance tracking to train large models with distributed training across multiple nodes. Build, deploy, and manage multi modal analysis pipelines for scientific analysis, and machine learning workflows in an integrated, usable framework. Understand scientists' needs across a wide range of scientific disciplines by collaborating with both users and … should have relevant industry and/or academic experience. Experience with one or more programming languages commonly used for large-scale data management and machine learning, such as Python, C++, Pytorch/Tensorflow, Pytorch Lightning, etc. Previous experience with Machine Learning at scale: Large Language Models More ❯

Pathology up to functional analysis In Vivo. We will enable and accelerate the Altos mission by leveraging state of the art computer vision and machine learning, and collaborating with MLOps at Altos to make all our models easily trainable, findable, interpretable, and accessible across diverse research groups. Responsibilities … performance tracking to train large models with distributed training across multiple nodes. Build, deploy, and manage multi-modal analysis pipelines for scientific analysis, and machine learning workflows in an integrated, usable framework. Understand scientists' needs across a wide range of scientific disciplines by collaborating with both users and … should have relevant industry and/or academic experience. Experience with one or more programming languages commonly used for large-scale data management and machine learning, such as Python, C++, Pytorch/Tensorflow, Pytorch Lightning etc. Previous experience with Machine Learning at scale: Large Language Models More ❯

ecosystem, driving innovation in threat detection technologies to safeguard the Internet from known and emerging cybersecurity threats. Who you are: We are seeking a Machine Learning Engineer to join our growing team. If you have a passion for stopping bad actors and excel in working with machine-learning models and data analytics over large datasets, this is your place. You are willing to learn new skills, eager to stay up to date, and to work with other domain experts outside of your comfort zone. You enjoy working in a collaborative environment as a member of … the threat landscape via automation and visualization techniques and develop models to identify new threats. You will have the opportunity to build or enhance machine-learning pipelines to support Cisco's security products and tools, covering from model selection and training, to optimization, deployment, and monitoring. You will More ❯

Machine Learning/Semantic Web - FTC (6 Months) - West London We have an opportunity available for an experienced AI/ML Engineer to join a team based in Egham. This position requires immediate start so we politely request that you only apply if you are available to start … cognitive support. Focus on AI-driven energy management systems advancing sustainability and intelligent energy solutions for homes and businesses. Main Responsibilities: Develop and optimize machine learning models for disease prediction and early diagnosis. Process and analyze structured and unstructured health data - Implement deep learning for predictive healthcare … on AI-driven user personalization for visually impaired individuals. Develop AI-powered accessibility solutions. Ensure compliance with data privacy and ethical AI guidelines. Essential: Machine learning & deep learning - Proficiency in TensorFlow (2.x), PyTorch, Scikit-Learn. Strong skills in Python, experience with R or JavaScript is a plus. More ❯

backfill a critical position within our team. This role focuses on the training and enablement of data science operating models, best practices, and the machine learning lifecycle across data science functions. Previous experience in training and enablement of data science operating models, best practice, ways of working and … machine learning lifecycle on data science Focusing on process and ways of working, industry best practice and willing to jump right in and help with development of new ways of working, training and best practice You’ll have an Innovative mindset: constantly seeks new approaches and technologies to … improve data science practices and outputs The ability to be able to design and provide training Key Responsibilities: • Develop and optimise machine learning modules ensuring their successful deployment. • Foster a culture of best practices in data science processes and ways of working. • Collaborate closely with federated Data Science More ❯

backfill a critical position within our team. This role focuses on the training and enablement of data science operating models, best practices, and the machine learning lifecycle across data science functions. Previous experience in training and enablement of data science operating models, best practice, ways of working and … machine learning lifecycle on data science Focusing on process and ways of working, industry best practice and willing to jump right in and help with development of new ways of working, training and best practice You’ll have an Innovative mindset: constantly seeks new approaches and technologies to … improve data science practices and outputs The ability to be able to design and provide training Key Responsibilities: • Develop and optimise machine learning modules ensuring their successful deployment. • Foster a culture of best practices in data science processes and ways of working. • Collaborate closely with federated Data Science More ❯

backfill a critical position within our team. This role focuses on the training and enablement of data science operating models, best practices, and the machine learning lifecycle across data science functions. Previous experience in training and enablement of data science operating models, best practice, ways of working and … machine learning lifecycle on data science Focusing on process and ways of working, industry best practice and willing to jump right in and help with development of new ways of working, training and best practice You’ll have an Innovative mindset: constantly seeks new approaches and technologies to … improve data science practices and outputs The ability to be able to design and provide training Key Responsibilities: • Develop and optimise machine learning modules ensuring their successful deployment. • Foster a culture of best practices in data science processes and ways of working. • Collaborate closely with federated Data Science More ❯

backfill a critical position within our team. This role focuses on the training and enablement of data science operating models, best practices, and the machine learning lifecycle across data science functions. Previous experience in training and enablement of data science operating models, best practice, ways of working and … machine learning lifecycle on data science Focusing on process and ways of working, industry best practice and willing to jump right in and help with development of new ways of working, training and best practice You’ll have an Innovative mindset: constantly seeks new approaches and technologies to … improve data science practices and outputs The ability to be able to design and provide training Key Responsibilities: • Develop and optimise machine learning modules ensuring their successful deployment. • Foster a culture of best practices in data science processes and ways of working. • Collaborate closely with federated Data Science More ❯

Delivery Consultant - Application Developer, Data & Machine Learning, WWPS ProServe Job ID: Amazon Web Services, Inc. The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers … be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth …/or systems into production, including batch and real-time data processing, model containerization, CI/CD pipelines, API development, model training and productionizing ML models. PREFERRED QUALIFICATIONS - AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation) - AWS Professional More ❯

Machine Learning Engineering Manager | Computer Vision | Deep Learning | Python | C++ | London, Hybrid We are seeking an Engineering Manager to join our Applied Machine Learning team , focused on delivering innovative experiences and insights for coaches, athletes, and fans. This role leads high-impact initiatives using advanced … of 5–10 technical contributors and supporting their development and productivity. Systems Expertise : Hands-on experience in building, maintaining, and monitoring complex AI/ML systems operating in production at scale. Technical Proficiency : Strong experience in several of the following domains: Classical and deep learning-based computer vision Multi … Communication : Ability to explain complex technical topics and decisions clearly to both technical and non-technical stakeholders. Product Focus : Track record of delivering impactful ML/AI-driven features in close collaboration with product and engineering teams. Preferred Qualifications Sports Technology Experience : Familiarity with applying AI/ML techniques to More ❯

s AI Implementation Chapter is seeking a seasoned Senior Machine Learning Engineer with 6+ years of experience to drive advanced AI/ML initiatives across the Fitch Ratings organization. In this role, you will not only design and implement enterprise-grade ML and Generative AI solutions but also … and cross-functional teams to integrate advanced AI solutions into flagship Fitch Ratings products and workflows. The AI Chapter's team objectives: Implement AI & ML technology in collaboration with Fitch Ratings business partners and product squads Develop and support enterprise-level AI exploration tools and capabilities Provide guidance for efficient … and secure development and deployment of AI Establish and maintain guidelines and processes for AI/ML governance How You'll Make an Impact: Lead the design, development, and deployment of scalable AI/ML solutions, focusing on advanced generative AI frameworks, large language models, and agentic workflows. Act as More ❯

relevant insights. Our ownership ranges from innovative idea inception through POC, to its implementation within customer facing products. Development includes working with cutting edge machine learning, deep learning and data manipulation techniques, data analysis and coding a wide variety of features to deal with different data types … and meet the customer needs. Among our current challenges are building time series forecast engines, predictive models, enhance user's experience using AI/ML, big data text mining/analysis as well as statistical challenges and maintaining high algorithm performance and accuracy. We are looking for a talented and … PlanIQ Team. This includes research, new ideas, POCs and writing code to production at scale. Working together with the other team's data scientists, ML engineers, backend, and frontend developers. Your day will have a mixture of all domains: data pre-processing and post-processing, machine learning, deep More ❯

Month Contract (Somerset, Hybrid) 📍 Location: Commutable from Bristol (Somerset) - Hybrid ⏳ Contract: 12 Months 💰 Day Rate: Competitive - Inside IR35 🏢 Industry: Government Defence | Data | AI & Machine Learning 🔐 Security Clearance: Active SC clearance preferred but not essential—candidates must be eligible for clearance . The Opportunity Our client, a leading Data … automation, and data science strategy. This high-impact role will lead a team of data scientists and work closely with senior stakeholders to operationalise machine learning , enhance automation, and ensure responsible AI governance. This is an exciting opportunity to shape the future of AI and data science within … desirable. Why Apply? 🚀 Impactful Role – Shape the AI & Data Science strategy for a major government SaaS client. 💡 Cutting-Edge AI – Work with Azure AI & ML technologies in a Microsoft enterprise environment. 🏡 Flexible Working – Hybrid role with a mix of remote and on-site work in Somerset. 📈 High-Profile Exposure – Work More ❯