1,051 to 1,075 of 4,092 Machine Learning Jobs in the UK

turning data into clinically valuable insights; helping our clients reduce clinical development risk and improve return on investment from their clinical development programmes. We achieve this by combining Ai machine learning imaging biomarker analysis, together with centralised neuroimaging CRO services to provide an integrated service covering every stage of clinical development through to post-marketing surveillance. We are … of our culture: Aspiration, Ability, Agility and Accountability. To help us deliver our medical image analysis solutions to large clinical trials we are hiring a Imaging Scientist (R&D ML specialist) on a permanent full-time capacity. Purpose of the Role: The purpose of this role is the development of imaging analysis solutions to address clinical trial needs and IXICO … belief, gender, national origin, age, sexual orientation, marital status, disability or any other protected class. This is a great opportunity for a strong and experienced Imaging Scientist (R&D ML specialist) to thrive in an engaging and fast-paced environment, to make a difference on an everyday basis. If you think IXICO should meet you, please send us your CV More ❯

turning data into clinically valuable insights; helping our clients reduce clinical development risk and improve return on investment from their clinical development programmes. We achieve this by combining Ai machine learning imaging biomarker analysis, together with centralised neuroimaging CRO services to provide an integrated service covering every stage of clinical development through to post-marketing surveillance. We are … of our culture: Aspiration, Ability, Agility and Accountability. To help us deliver our medical image analysis solutions to large clinical trials we are hiring a Imaging Scientist (R&D ML specialist) on a permanent full-time capacity. Purpose of the Role: The purpose of this role is the development of imaging analysis solutions to address clinical trial needs and IXICO … belief, gender, national origin, age, sexual orientation, marital status, disability or any other protected class. This is a great opportunity for a strong and experienced Imaging Scientist (R&D ML specialist) to thrive in an engaging and fast-paced environment, to make a difference on an everyday basis. If you think IXICO should meet you, please send us your CV More ❯

Client: Our client, a leading Multinational Semiconductor Organisation, requires a number of C/C++, Python, Machine Learning Software Engineers for roles based in Cambridge, England. You will be required to be onsite 4 days per week. Role: They are seeking a number of Junior Software Engineers to join our team responsible for developing and maintaining AI infrastructure … AI features that enhance solutions. Participate in code reviews, testing, and debugging to ensure high-quality, reliable software. Stay current with industry trends and emerging technologies in AI and machine learning. Document technical processes and developments for … knowledge sharing across teams. Qualifications: Good degree in Computer Science, Electrical Engineering, or a related technical field. Experience: Strong programming skills in C, C++, Python. Knowledge of AI/ML concepts and frameworks. Willingness to learn multiple programming languages. Understanding of software development principles and practices. Problem-solving skills and analytical thinking. Excellent communication and teamwork abilities. Additional Skills/ More ❯

re just getting started. If you're excited by mission-driven impact, big ideas, and helping define the future of work - join us. WHAT YOU'LL DO Build &Ship ML powered features -Start with research prototypes, then collaborate with cross functional dev pods to turn them into production ready capabilities that delight users. Own the ML stack & direction -Define languages … third party APIs (OpenAI, Anthropic, Hugging Face, etc.) versus in house models; drive clear recommendations on cost, performance, and time to value. Drive commercial impact -Measure and iterate on ML powered adoption, upsell ARR, and feature satisfaction; treat models as products, not science projects. Build the AI Centre of Excellence -Hire, mentor, and inspire a small but high performing squad … of 3-4 ML/AI engineers and MLOps specialists over the next 12 months. Champion data stewardship -Work with Product & Cloud Ops to leverage usage, booking, and sensor data while staying GDPR compliant as a data processor. Own the ML feedback loop -Partner monthly with CX, Sales, and Product to gather insights, explain model behaviour, and improve value messaging. More ❯

Delivery Consultant (AI/ML), Professional Services Job ID: AWS EMEA SARL (UK Branch) 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 to design, implement, and manage AWS solutions that meet their technical requirements and … our nature to learn and 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 (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth - We're continuously raising More ❯

Docker • Terraform • GitHub Actions • LangChain/LlamaIndex What We’re Looking For 5+ years building production-grade backend systems (preferably in Python) Strong background in search, recommender systems, or ML infrastructure at scale Experience with RAG architectures, embeddings, and vector search Confidence working across GCP (or AWS/Azure) and infrastructure-as-code Familiarity with observability, performance tuning, and secure More ❯

Docker • Terraform • GitHub Actions • LangChain/LlamaIndex What We’re Looking For 5+ years building production-grade backend systems (preferably in Python) Strong background in search, recommender systems, or ML infrastructure at scale Experience with RAG architectures, embeddings, and vector search Confidence working across GCP (or AWS/Azure) and infrastructure-as-code Familiarity with observability, performance tuning, and secure More ❯

Docker • Terraform • GitHub Actions • LangChain/LlamaIndex What We’re Looking For 5+ years building production-grade backend systems (preferably in Python) Strong background in search, recommender systems, or ML infrastructure at scale Experience with RAG architectures, embeddings, and vector search Confidence working across GCP (or AWS/Azure) and infrastructure-as-code Familiarity with observability, performance tuning, and secure More ❯

About Us We are a VC-backed startup focused on behavioural AI, currently in stealth. We are building for retail with a focus on Recommendation Systems, Reinforcement Learning and Generative AI. Our platform is designed from the ground up — no legacy, no patchwork systems — just a clean slate and a clear vision. Our mission is to build products that … advanced machine learning systems to work with our team of industry leading domain experts and engineers to build foundation models for retail shopping. Key Responsibilities: Translate latest ML advances into impactful solutions, validate their effectiveness, and deploy them to production systems. Innovate upon state-of-the-art ML research applied to consumer personalisation. Optimise machine learning models for performance in cloud environments (e.g., distributed clusters, GPUs). Essential Qualifications: 3-5+ years implementing applied machine learning research in a production setting MSc in Computer Science, Machine Learning, or a closely related field Strong foundation in machine learning and deep learning algorithms (e.g., transformers, GNNs, supervised/unsupervised More ❯

About Us We are a VC-backed startup focused on behavioural AI, currently in stealth. We are building for retail with a focus on Recommendation Systems, Reinforcement Learning and Generative AI. Our platform is designed from the ground up — no legacy, no patchwork systems — just a clean slate and a clear vision. Our mission is to build products that … advanced machine learning systems to work with our team of industry leading domain experts and engineers to build foundation models for retail shopping. Key Responsibilities: Translate latest ML advances into impactful solutions, validate their effectiveness, and deploy them to production systems. Innovate upon state-of-the-art ML research applied to consumer personalisation. Optimise machine learning models for performance in cloud environments (e.g., distributed clusters, GPUs). Essential Qualifications: 3-5+ years implementing applied machine learning research in a production setting MSc in Computer Science, Machine Learning, or a closely related field Strong foundation in machine learning and deep learning algorithms (e.g., transformers, GNNs, supervised/unsupervised More ❯

About Us We are a VC-backed startup focused on behavioural AI, currently in stealth. We are building for retail with a focus on Recommendation Systems, Reinforcement Learning and Generative AI. Our platform is designed from the ground up — no legacy, no patchwork systems — just a clean slate and a clear vision. Our mission is to build products that … advanced machine learning systems to work with our team of industry leading domain experts and engineers to build foundation models for retail shopping. Key Responsibilities: Translate latest ML advances into impactful solutions, validate their effectiveness, and deploy them to production systems. Innovate upon state-of-the-art ML research applied to consumer personalisation. Optimise machine learning models for performance in cloud environments (e.g., distributed clusters, GPUs). Essential Qualifications: 3-5+ years implementing applied machine learning research in a production setting MSc in Computer Science, Machine Learning, or a closely related field Strong foundation in machine learning and deep learning algorithms (e.g., transformers, GNNs, supervised/unsupervised More ❯

Security and Defence Consultancy client. Must have active DV Clearance Up to £85k DoE plus bonuses and benefits 3 days on site per week in Cheltenham Skills required in Machine Learning, AWS/Azure, Python, NLP, AI Who are we? We are recruiting a Data Scientist with DV Clearance for a prestigious client to work on a portfolio … ll experience excellent career progression opportunities to develop your skillset and personal profile in an inclusive culture. What will the Data Scientist be doing? Apply creative data science and ML techniques Innovate and research solutions Stay current with ML and data tech Engage in full data science lifecycle Document technically Deliver high-quality project components Provide practical client solutions Assist … proposal crafting and pitching Deepen understanding of the Defence and Security sector for AI & Data transformation opportunities Key Skills and Requirements Essential: Active DV Clearance Applying data science or machine learning in Defence/Security, public sector, or academia Proficiency in various machine learning architectures and models Methodical problem-solving skills Effective communication of complex technical More ❯

Data Scientist/Machine Learning Engineer/AI Engineer - Java, Python, scikit-learn, TensorFlow, PyTorch AWS, Machine Learning, Artificial intelligence (Hybrid - 3 days in the office -mon, weds, Friday) Data Scientist/Machine Learning Engineer:- You will be joining a fast-growing, research-driven company building an artificial intelligence using novel machine learning … technologists who have help build up some of the best known technology companies today. You will work closely with senior engineers and data scientists to quickly learn and apply machine learning techniques to real-world problems, shipping results fast. The role will be very interesting and diverse and will involve keeping ahead of the latest technologies. Applicants must … 2yrs+ in a commercial Data Science/Machine Learning role Solid experience of Python and some Java (Could be from University projects) A strong understanding of core ML algorithms and frameworks (e.g., scikit-learn, TensorFlow, PyTorch) Familiarity with cloud platforms (AWS) and Kubernetes for deploying A degree in Computer Science, Engineering, or a related field, or equivalent hands More ❯

Data Scientist/Machine Learning Engineer/AI Engineer - Java, Python, scikit-learn, TensorFlow, PyTorch AWS, Machine Learning, Artificial intelligence (Hybrid - 3 days in the office -mon, weds, Friday) Data Scientist/Machine Learning Engineer:- You will be joining a fast-growing, research-driven company building an artificial intelligence using novel machine learning … technologists who have help build up some of the best known technology companies today. You will work closely with senior engineers and data scientists to quickly learn and apply machine learning techniques to real-world problems, shipping results fast. The role will be very interesting and diverse and will involve keeping ahead of the latest technologies. Applicants must … 2yrs+ in a commercial Data Science/Machine Learning role Solid experience of Python and some Java (Could be from University projects) A strong understanding of core ML algorithms and frameworks (e.g., scikit-learn, TensorFlow, PyTorch) Familiarity with cloud platforms (AWS) and Kubernetes for deploying A degree in Computer Science, Engineering, or a related field, or equivalent hands More ❯

Data Scientist/Machine Learning Engineer/AI Engineer - Java, Python, scikit-learn, TensorFlow, PyTorch AWS, Machine Learning, Artificial intelligence (Hybrid - 3 days in the office -mon, weds, Friday) Data Scientist/Machine Learning Engineer:- You will be joining a fast-growing, research-driven company building an artificial intelligence using novel machine learning … technologists who have help build up some of the best known technology companies today. You will work closely with senior engineers and data scientists to quickly learn and apply machine learning techniques to real-world problems, shipping results fast. The role will be very interesting and diverse and will involve keeping ahead of the latest technologies. Applicants must … 2yrs+ in a commercial Data Science/Machine Learning role Solid experience of Python and some Java (Could be from University projects) A strong understanding of core ML algorithms and frameworks (e.g., scikit-learn, TensorFlow, PyTorch) Familiarity with cloud platforms (AWS) and Kubernetes for deploying A degree in Computer Science, Engineering, or a related field, or equivalent hands More ❯

bring machine learning, analytics and data engineering into daily decision-making. This is not just a backend or integration role. You will be working with production-grade ML models, powerful analytics pipelines and full stack application logic to build a platform that delivers predictive insights and intelligent guidance to users. The platform is architected using Python, Node.js, cloud … native tooling, and cutting-edge libraries such as Scikit-learn and TensorFlow. What is on offer: • The chance to lead and scale real ML and data analytics systems in production • Direct ownership across APIs, backend services and data-driven applications • Collaboration with a senior product engineering team building modern SaaS systems • A fast-moving, outcome-driven environment focused on quality … clarity and insight What you will be doing: • Designing and implementing backend services that operationalise ML models and AI tools • Building and integrating APIs that support seamless data flows between services • Applying advanced analytics and machine learning models to real-time and structured data • Developing across SQL and NoSQL data systems to support performance and scale • Working in More ❯

bring machine learning, analytics and data engineering into daily decision-making. This is not just a backend or integration role. You will be working with production-grade ML models, powerful analytics pipelines and full stack application logic to build a platform that delivers predictive insights and intelligent guidance to users. The platform is architected using Python, Node.js, cloud … native tooling, and cutting-edge libraries such as Scikit-learn and TensorFlow. What is on offer: • The chance to lead and scale real ML and data analytics systems in production • Direct ownership across APIs, backend services and data-driven applications • Collaboration with a senior product engineering team building modern SaaS systems • A fast-moving, outcome-driven environment focused on quality … clarity and insight What you will be doing: • Designing and implementing backend services that operationalise ML models and AI tools • Building and integrating APIs that support seamless data flows between services • Applying advanced analytics and machine learning models to real-time and structured data • Developing across SQL and NoSQL data systems to support performance and scale • Working in More ❯

that will help our customers imagine, design, and make a better world. We are a team of scientists, researchers, engineers, and designers working together on projects that range from learning-based design systems, computer vision, graphics, robotics, human-computer interaction, sustainability, simulation, manufacturing, architectural design and construction. As a member of the AI Lab in Autodesk Research you will … San Francisco, Toronto, and remotely. The role will report to a Manager of Research Science in the AI Lab. Location: London, United Kingdom, Germany, or Italy Responsibilities: Develop new ML models and AI techniques Lead on research projects within a global team Review relevant AI/ML literature to identify emerging methods, technologies, and best practices Work towards long-term … for best leveraging data Publish papers; attend and speak at conferences Strategically direct research directions Minimum Qualifications: A Master's or PhD in a field related to AI/ML such as: Computer Science, Mathematics, Statistics, Physics, Linguistics, Mechanical Engineering, Architecture or related disciplines Publication track record in machine learning conferences and/or journals Significant post-graduate More ❯

K Are you a Mid-Level Java Developer who wants to work with a rapidly scaling Tech business who are solving problems using the latest tools in Machine Learning, Data Science and Automation tools? A mid-level Java Developer is required to join an innovative and rapidly growing scale-up dedicated to optimizing performance for their clients using … like React, Angular, or Vue.js. Strong understanding of RESTful APIs and web services. Experience with database technologies such as SQL, NoSQL, and ORM frameworks. Familiarity with automation tools and ML frameworks is a plus. Problem-Solving: Strong analytical and problem-solving skills. Communication: Excellent verbal and written communication skills. Team Player: Ability to work effectively in a collaborative team environment. … . Backend Development: Implement server-side logic, database schemas, and APIs to support frontend functionality. Performance Optimization: Identify performance bottlenecks and implement solutions to optimize application performance. Automation and ML Integration: Integrate automation tools and machine learning models to enhance the functionality and performance of our applications. Code Quality: Write clean, maintainable, and well-documented code, and conduct More ❯

+ 20% Bonus + £6,000 Car Allowance + 6% Pension +more Are you an experienced Data Science Manager with a passion for pricing strategy , machine learning , and commercial impact ? We're hiring on behalf of a major UK-based automotive group seeking a Data Science Manager to lead pricing analytics and shape the future of their data … processes to enable rapid innovation. What We're Looking For Essential Skills & Experience: Proven track record in pricing analytics , valuation modelling , or similar domains. Strong hands-on experience developing ML solutions in Python . Experience managing and growing high-performing data science teams. Ability to build and communicate complex solutions to stakeholders across different levels and disciplines. Proficiency working with … modern cloud-based tools (e.g., Azure ML , Databricks , Snowflake , SageMaker , etc.). Deep knowledge of machine learning techniques including predictive modelling, pattern recognition, and optimisation. Strong stakeholder management and product ownership skills. Experience with CI/CD tools such as Azure DevOps Pipelines or GitHub Actions. Desirable: Exposure to Marketing Data Science (e.g., Marketing Mix Modelling, Multi-Touch More ❯

+ 20% Bonus + £6,000 Car Allowance + 6% Pension +more Are you an experienced Data Science Manager with a passion for pricing strategy , machine learning , and commercial impact ? We're hiring on behalf of a major UK-based automotive group seeking a Data Science Manager to lead pricing analytics and shape the future of their data … processes to enable rapid innovation. What We're Looking For Essential Skills & Experience: Proven track record in pricing analytics , valuation modelling , or similar domains. Strong hands-on experience developing ML solutions in Python . Experience managing and growing high-performing data science teams. Ability to build and communicate complex solutions to stakeholders across different levels and disciplines. Proficiency working with … modern cloud-based tools (e.g., Azure ML , Databricks , Snowflake , SageMaker , etc.). Deep knowledge of machine learning techniques including predictive modelling, pattern recognition, and optimisation. Strong stakeholder management and product ownership skills. Experience with CI/CD tools such as Azure DevOps Pipelines or GitHub Actions. Desirable: Exposure to Marketing Data Science (e.g., Marketing Mix Modelling, Multi-Touch More ❯

+ 20% Bonus + £6,000 Car Allowance + 6% Pension +more Are you an experienced Data Science Manager with a passion for pricing strategy , machine learning , and commercial impact ? We're hiring on behalf of a major UK-based automotive group seeking a Data Science Manager to lead pricing analytics and shape the future of their data … processes to enable rapid innovation. What We're Looking For Essential Skills & Experience: Proven track record in pricing analytics , valuation modelling , or similar domains. Strong hands-on experience developing ML solutions in Python . Experience managing and growing high-performing data science teams. Ability to build and communicate complex solutions to stakeholders across different levels and disciplines. Proficiency working with … modern cloud-based tools (e.g., Azure ML , Databricks , Snowflake , SageMaker , etc.). Deep knowledge of machine learning techniques including predictive modelling, pattern recognition, and optimisation. Strong stakeholder management and product ownership skills. Experience with CI/CD tools such as Azure DevOps Pipelines or GitHub Actions. Desirable: Exposure to Marketing Data Science (e.g., Marketing Mix Modelling, Multi-Touch More ❯

advanced science solutions to better represent, model, predict and understand the inter-relation between product features, price signals, and price competitiveness. Your work will leverage the latest in Deep Learning, Active Learning, and Reinforcement Learning to enhance product understanding, and develop advanced explainability capabilities and price reasoning methods for a deeper understanding of products and pricing competitiveness. … used to monitor Amazon's entire product selection to ensure their quality, the availability of accurate price distributions, and more. We seek an experienced scientist with deep knowledge of ML, DL, RL, and GenAI. The role will also require cross-functional collaboration skills, and staying up to date with the latest advancements in Generative AI, model explainability, quantile-regression models … etc. Key job responsibilities Implement and deploy systems that leverage ML, DL, RL and other techniques to address some of hardest problems in the pricing space. Set scientific standards and see the big picture to influence Amazon's long-term vision for retail pricing science. Work cross-functionally with various teams to align machine learning initiatives with business More ❯

that will help our customers imagine, design, and make a better world. We are a team of scientists, researchers, engineers, and designers working together on projects that range from learning-based design systems, computer vision, graphics, robotics, human-computer interaction, sustainability, simulation, manufacturing, architectural design and construction. As a member of the AI Lab in Autodesk Research you will … San Francisco, Toronto, and remotely. The role will report to a Manager of Research Science in the AI Lab Location: London, United Kingdom, Germany, or Italy Responsibilities Develop new ML models and AI techniques Lead on research projects within a global team Review relevant AI/ML literature to identify emerging methods, technologies, and best practices Work towards long-term … data Publish papers; attend and speak at conferences You will be strategically about research directions Minimum Qualifications A Master's or PhD in a field related to AI/ML such as: Computer Science, Mathematics, Statistics, Physics, Linguistics, Mechanical Engineering, Architecture or related disciplines Publication track record in machine learning conferences and/or journals Significant post-graduate More ❯

also building out the team, processes, and infrastructure needed to support enterprise-scale AI adoption. What You’ll Do Lead AI strategy & execution - Define the AI vision across GenAI, ML, and Data Science disciplines. Build and lead an internal AI Centre of Excellence. Act as the primary AI representative in leadership and product discussions. Deliver generative AI solutions - Design and … systems) Set up scalable LLMOps pipelines: model evaluation, versioning, and governance. Monitor developments in the GenAI landscape and evaluate adoption paths. Support machine learning projects - Collaborate with ML Engineers on classical ML initiatives Guide model lifecycle processes including training, deployment, and monitoring. Provide hands-on support with experimentation pipelines and MLOps tooling. Lay the groundwork for Data Science … hiring strategy. About You Must-Haves Experience delivering production-ready GenAI solutions Solid grasp of LLMs, prompt engineering, and RAG workflows Familiarity with MLOps practices and deployment of classical ML models Competence in statistical modelling and A/B testing frameworks Proficiency in Python and at least one other programming language Strong understanding of cloud environments (ideally AWS) Proven team More ❯