126 to 150 of 11,239 Machine Learning Jobs in the UK

Sainsbury’s, Machine Learning is central to how we deliver better experiences and smarter decision-making across the business. As a Senior ML Engineer, you’ll play a key role in one of our cross-functional squads - helping to design, build, and run scalable ML systems that create … machine learning solutions. Provide technical leadership within the team, contribute to shaping best practices, and drive the successful delivery and sustainability of ML capabilities. What you’ll do: Lead the technical delivery of ML solutions from design through to deployment, including feature engineering, training, testing, serving, and monitoring. … lead for engineering within a cross-functional squad, collaborating closely with Engineering Managers, Data Science Managers, and Product Managers to ensure successful delivery of ML solutions. Ensure solutions align with architectural principles, engineering standards, and long-term sustainability goals. Contribute to the development and adoption of MLOps and software engineering More ❯

innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences for the traveler and our partners that drive loyalty and customer satisfaction. Are you passionate about … What you’ll do: Establish the roadmap and own the OKRs for machine learning systems powering our insurance business Utilize the latest ML and AI technologies to enhance our travelers' personalized experience and discovery experience on both app and web platforms. Drive innovation, technical excellence, and deliver business … and prioritize requirements Operate with a broad business perspective and technical depth, understanding company goals while navigating and influencing the EG data platform and ML technology stacks Recruit, develop, and manage highly skilled and independent applied machine learning scientists in a complex environment Who you are: You have More ❯

Engineer to work on incredibly interesting projects as we take our personalization capabilities to the next level. You will focus on developing and advancing ML/AI across our platforms, researching and investigating new machine learning applications within the company, and improving pre-existing models. Role & Core Responsibilities … learning applications within the company, and improve on pre-existing models. Collaborate closely with product and development teams to define and prepare new ML applications. Analyse performance and continuously improve scoring processes for hosted models. Best Bits of the Job Exposure to a phenomenal array of machine learning … Large Language Models (LLMs), to enhance our products and services. Fully real-time architecture for data processing, model development, and deployment. Deploying and enhancing ML frameworks, optimizing for inference, and training/retraining cycles. Online testing for models with live data using proprietary A/B/N testing technology More ❯

impact of machine learning and AI throughout Trainline. We are looking for a Machine Learning Engineer to join the Product ML team to help shape the future of train travel. You will build highly innovative AI and ML products working alongside engineers, scientists and product managers … Trainline you will be joining an environment where learning and development is top priority. You will have the opportunity to work with fellow ML enthusiasts on large-scale production systems, delivering highly impactful products that make a difference to our millions of users. As a Machine Learning … that leverage Trainline's extensive datasets and state of the art algorithms Create the tools, frameworks and libraries that enable the acceleration of our ML products delivery and improve our workflows Take an active part in our AI and ML community and foster a culture of rigorous learning and More ❯

software components that incorporate machine learning algorithms and data processing. Develop clean, efficient Python code for both backend logic and integration of ML models. Understand the business drivers behind each feature. Create and optimise data pipelines to collect, preprocess, and transform data for machine learning and … quality standards before deployment. Collaborate with DevOps engineers to set up and maintain CI/CD pipelines for building, testing, and deploying applications and ML models. Containerise applications (Docker) and assist in orchestration (Kubernetes or cloud services) to ensure smooth deployment of scalable solutions. Work closely with data scientists to … and implement monitoring to track model performance, accuracy, and reliability post-deployment. Keep up-to-date with the latest developments in Python, AI/ML technologies, and software engineering best practices. Proactively suggest improvements to systems and processes, and contribute to architectural decisions that enhance the capabilities or performance of More ❯

Senior Machine Learning Scientist (UK Remote) Full-time When you join Turnitin, you'll be welcomed into a company that is a recognized innovator in the global education space. For over 25 years, Turnitin has partnered with educational institutions to promote honesty, consistency, and fairness across all subject … by a shared desire to make a difference in education. Our remote-first culture allows for every employee to get the same access to learning and career opportunities, and it enables us to think differently about where and how we recruit talent from all kinds of diverse backgrounds. Machine … technological choices, and be able to explain them to the organization. Required Qualifications: Experience working with text data to build Deep Learning and ML models, both supervised and unsupervised. Experience with deep learning in other modalities such as vision and speech would be a strong bonus. A strong More ❯

Join to apply for the Senior Machine Learning Engineer role at PolyAI Join to apply for the Senior Machine Learning Engineer role at PolyAI PolyAI automates customer service through lifelike voice assistants that let customers lead a conversation. Our voice assistants make it possible for businesses … knowledge of data quality standards and annotation processes, with the ability to independently evaluate and improve models Proficiency in Python and familiarity with relevant ML frameworks and libraries (e.g., PyTorch) Experience with cloud services such as AWS, GCP, or Azure Excellent verbal and written communication skills, with the ability to … jobs in London Area, United Kingdom . London, England, United Kingdom 1 week ago London, England, United Kingdom 1 week ago Graduate Software Engineer – ML Data Platform London, England, United Kingdom 1 month ago London, England, United Kingdom 4 days ago London, England, United Kingdom 4 hours ago London, England More ❯

learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers to bring cutting-edge ML models into production at scale. You'll play a key role in shaping the AI strategy and mentoring the machine learning team. Responsibilities … Lead the end-to-end development of machine learning models, from prototyping to production deployment. Architect scalable ML pipelines and infrastructure. Work closely with data scientists to transition research models into robust production systems. Collaborate with engineering teams to integrate ML models into applications and services. Manage and … iterate rapidly to improve model performance. Stay current with the latest research and developments in machine learning and AI. Define and enforce ML model governance, versioning, and documentation standards. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science, Machine Learning, Data Science, Statistics More ❯

learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers to bring cutting-edge ML models into production at scale. You'll play a key role in shaping the AI strategy and mentoring the machine learning team. Responsibilities … Lead the end-to-end development of machine learning models, from prototyping to production deployment. Architect scalable ML pipelines and infrastructure. Work closely with data scientists to transition research models into robust production systems. Collaborate with engineering teams to integrate ML models into applications and services. Manage and … iterate rapidly to improve model performance. Stay current with the latest research and developments in machine learning and AI. Define and enforce ML model governance, versioning, and documentation standards. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science, Machine Learning, Data Science, Statistics More ❯

learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers to bring cutting-edge ML models into production at scale. You'll play a key role in shaping the AI strategy and mentoring the machine learning team. Responsibilities … Lead the end-to-end development of machine learning models, from prototyping to production deployment. Architect scalable ML pipelines and infrastructure. Work closely with data scientists to transition research models into robust production systems. Collaborate with engineering teams to integrate ML models into applications and services. Manage and … iterate rapidly to improve model performance. Stay current with the latest research and developments in machine learning and AI. Define and enforce ML model governance, versioning, and documentation standards. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science, Machine Learning, Data Science, Statistics More ❯

learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers to bring cutting-edge ML models into production at scale. You'll play a key role in shaping the AI strategy and mentoring the machine learning team. Responsibilities … Lead the end-to-end development of machine learning models, from prototyping to production deployment. Architect scalable ML pipelines and infrastructure. Work closely with data scientists to transition research models into robust production systems. Collaborate with engineering teams to integrate ML models into applications and services. Manage and … iterate rapidly to improve model performance. Stay current with the latest research and developments in machine learning and AI. Define and enforce ML model governance, versioning, and documentation standards. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science, Machine Learning, Data Science, Statistics More ❯

Machine Learning Research Engineer A brilliant opportunity for a Machine Learning Research Engineer to work on researching and investigating new concepts for industry-leading, machine-learning software in Cambridge, UK. This unique opportunity is ideally suited to those with a Ph.D. relating to Machine Learning who have a keen interest in Natural Language Processing and Computer Vision and its application to an ever-advancing technical landscape. Location: Cambridge - 3 days in office, 2 days remote Salary: Up to £100,000 depending on experience Requirements for Machine Learning Research Engineer A … Ph.D. from a world-leading University in a Computer Science, Physics or Maths with a keen demonstrable interest in Machine Learning/AI Excellent academics throughout including a minimum of a 2.1 degree from a leading university, AAB at A-Level Published papers Good understanding of software engineering More ❯

Research Scientist to join our Data Science Team as we scale up and drive digital and financial inclusion across our markets. At M-KOPA, machine learning research isn't conducted in an academic vacuum-it's deployed to empower millions of people across Africa. As our Commercial Research … application. You'll tackle complex modelling challenges that require both academic rigor and practical ingenuity. Your research won't just advance the field of machine learning-it will directly influence strategic decisions, optimize product performance, and shape the future direction of M-KOPA's offerings. Working in a … credit, optimize our operations, and develop new products that bring digital and financial services to those traditionally excluded from the system. Imagine seeing your machine learning innovations translated into real stories of impact: a small business securing its first inventory loan, a family accessing educational content through their More ❯

Commercial Insights to join our Data Science Team as we scale up and drive digital and financial inclusion across our markets. At M-KOPA, machine learning research isn't conducted in an academic vacuum-it's deployed to empower millions of people across Africa. As our Commercial Research … application. You'll tackle complex modelling challenges that require both academic rigor and practical ingenuity. Your research won't just advance the field of machine learning-it will directly influence strategic decisions, optimize product performance, and shape the future direction of M-KOPA's offerings. Working in a … credit, optimize our operations, and develop new products that bring digital and financial services to those traditionally excluded from the system. Imagine seeing your machine learning innovations translated into real stories of impact: a small business securing its first inventory loan, a family accessing educational content through their More ❯

Senior Machine Learning Engineer - Search - London Join to apply for the Senior Machine Learning Engineer - Search - London role at Perplexity Senior Machine Learning Engineer - Search - London 4 hours ago Be among the first 25 applicants Join to apply for the Senior Machine Learning … in software development and with data structures/algorithms in either (C, C++, Python, Java, Go or Rust). 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). 5 years of experience designing, training, and evaluating machine … ago London, England, United Kingdom 2 months ago London, England, United Kingdom 2 weeks ago London, England, United Kingdom 2 weeks ago Research Engineer, ML, AI & Computer Vision London, England, United Kingdom 2 weeks ago London, England, United Kingdom 3 months ago London, England, United Kingdom 1 week ago London More ❯

sustainability, simulation, manufacturing, architectural design and construction. This role will report to a Manager of Research Science in the AI Lab. 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 … new data sources and discover techniques for best leveraging data 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 Strong background applying Deep Learning techniques (including implementing custom architectures … Kingdom 1 week ago London, England, United Kingdom 2 weeks ago Western Europe Practice Head - Data Science (Machine Learning/Artificial Intelligence (ML/AI) London, England, United Kingdom 1 week ago Senior Machine Learning Product Manager (Deploy) Lecturer in NeuroAI and Computational Neuroscience London, England More ❯

Senior Machine Learning Engineer – Python/TensorFlow/Keras/PyTorch/scikit-learn Wyatt Partners are working with the founders of an innovative Machine Learning startup to hire an experienced Machine Learning Engineer. They see the Senior Machine Learning Engineer quickly … developing into the ‘Head of Machine Learning’ as the team & company grow over the coming year. The company has experienced exceptional growth in the last 2 years in terms of personnel and investment from leading institutions. Their AI solution addresses a traditional problem faced by various industries, offering … an individual with a top-tier academic background in Machine Learning, AI, or Computer Science, with experience in developing, building, and deploying ML & AI applications at scale. The company offers a competitive base salary and an equity package. Apply now for the Senior Machine Learning Engineer More ❯

Grow with us. We are looking for a Machine Learning Engineer to work along the end-to-end ML lifecycle, alongside our existing Product & Engineering team. About Trudenty: The Trudenty Trust Network provides personalised consumer fraud risk intelligence for fraud prevention across the commerce and payments ecosystem, starting … datasets to extract meaningful insights and features for model training MLOps - Deployment into production environments, Monitoring and Maintenance Experience deploying and maintaining large-scale ML inference pipelines into production Implement and monitor model performance in production environments on Kubernetes and AWS cloud platforms. Utilize Docker for containerization and orchestrate containerized … science and a track record of implementing fraud prevention, credit scoring or personalization algorithms. Setting up and maintaining real data pipelines to feed your ML models is light work for you, and you would have been as comfortable if this JD was for a ‘data engineer’. You have worked More ❯

PyTorch models using proprietary datasets. Convert and optimise models for high-performance C++ runtimes. Design and execute experiments balancing latency, accuracy, and robustness. Integrate ML models into production pipelines and own downstream performance metrics. Maintain and improve existing ML systems in our production environment. Stay current with deep learning … London, England, United Kingdom 2 days ago Machine Learning Engineer for Game Technology London, England, United Kingdom 2 weeks ago Research Engineer, ML, AI & Computer Vision London, England, United Kingdom 2 weeks ago London, England, United Kingdom 1 day ago London, England, United Kingdom 2 days ago London … United Kingdom 2 weeks ago City Of London, England, United Kingdom 1 week ago London, England, United Kingdom 1 week ago Graduate Software Engineer – ML Data Platform London, England, United Kingdom 2 weeks ago Research Engineer, ML, AI & Computer Vision London, England, United Kingdom 2 weeks ago London, England, United More ❯

What You Will Contribute To Altos As a Machine Learning Engineer, you will play a prominent role in developing generative AI/ML models for multi-modal, multiscale biology. We are looking for a hands-on, senior level creative and collaborative person to join our multidisciplinary team of … Partner with world-class scientists across Altos to help generate biological insights with the goal of developing novel therapies; Design and implement large-scale machine learning algorithms and systems applied to biological datasets; Train, evaluate, and optimize machine learning models at scale; Communicate effectively with internal … demonstrated by high-impact GitHub repository; Track record of high-caliber scientific work, e.g., demonstrated through publications in peer-reviewed scientific journals or major ML conferences; Experience with one lower level language (not limited to, but such as C++, Rust); Experience with large scale data processing and database tools such More ❯

excited at the opportunity to electrify and decarbonize the world? We are looking for a passionate, creative, and results-oriented Machine Learning (ML) Engineer with substantial experience in the energy, smart infrastructure, or industrial automation sectors to join our AI & Grid Innovation team. In this role, you will … be at the forefront of developing, deploying, and validating cutting-edge AI/ML models designed specifically for grid innovation applications. You will play a key role in building systems to test and verify proof-of-concepts, delivering AI-driven solutions both at the edge and in the cloud. Reporting … the company's mission to foster innovation, inclusivity, and progress. Job Description Essential Responsibilities: Lead the design, development, and deployment of scalable AI/ML models for grid innovation applications in the energy, smart infrastructure, or industrial automation sectors. Create innovative analytics to optimize grid system performance and product differentiation. More ❯

supporting all aspects of delivery from requirements gathering to solution design and implementation. Define high-value business scenarios that can benefit from AI solutions (Machine Learning and Gen AI). Explore and analyse data from various sources and formats using tools such as Microsoft Fabric, Azure Databricks, Azure … Azure Machine Learning Implement data pipelines and workflows to automate and operationalize machine learning solutions using tools such as Azure ML Pipelines, Azure DevOps. Run experiments and monitor performance of machine learning solutions using tools such as Azure Azure ML, and Azure Application Insights. … stakeholders and customers using tools such as Power BI, Azure Data Explorer, and Azure AI Services. Qualifications Key Competencies Demonstrable experience in data science, machine learning, or a related field. Proficiency in Python, SQL, or other programming languages for data analysis and machine learning. Experience with cloud More ❯

the development of a greenfield compliance platform focused on anti-money laundering (AML) and counter-terrorist financing (CTF). You’ll help design scalable ML infrastructure, build real-time monitoring systems, and explore the latest advancements in AI. Your Responsibilities: Contribute to a New ML-Driven Platform : Build advanced AML …/CTF transaction monitoring modules using both traditional statistical methods and modern ML techniques. Develop and deploy machine learning monitors using tools such as TensorFlow, OpenAI APIs, LangChain, Pytest, gRPC, and Python. Assist in implementing generative AI summarisation pipelines and agent communication protocols within a multi-agent system. … Drive Deployment and ML Operations: Collaborate with DevOps to containerise and deploy monitors with automated testing and evaluation tools. Support ML Ops development to track model health, detect drift/skew, and ensure model reliability in production. Focus on Scalability and Clean Code: Write clear, well-documented, and reusable code More ❯

delightful products and experiences for millions, in an agile environment, collaborating with teams across Engineering and Product. Further, you will be immersed in groundbreaking ML technologies, tools and processes, as you help to advance our technical objectives and architectural initiatives. You Will: Design and develop various machine learning … Science, with a specialization in machine learning or equivalent experience. Experience with Python, and ideally also Scala or Java. Experience in developing ML models for structured data, and ideally also unstructured data. Industry work experience in designing and implementing large-scale machine learning-based solutions that … DL training/Inference. Experience with reducing model serving latency, memory footprint. Experience in cloud-based environments, such as AWS. Experience working with custom ML platforms. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender More ❯

delightful products and experiences for millions, in an agile environment, collaborating with teams across Engineering and Product. Further, you will be immersed in groundbreaking ML technologies, tools and processes, as you help to advance our technical objectives and architectural initiatives. You Will: Design and develop various machine learning … Science, with a specialization in machine learning or equivalent experience. Experience with Python, and ideally also Scala or Java. Experience in developing ML models for structured data, and ideally also unstructured data. Industry work experience in designing and implementing large-scale machine learning-based solutions that … DL training/Inference. Experience with reducing model serving latency, memory footprint. Experience in cloud-based environments, such as AWS. Experience working with custom ML platforms. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender More ❯