1 to 25 of 3,126 Machine Learning Jobs in the UK

Learning Scientist to join our Search & Ranking team in the UK. As part of the team you will work alongside a Product Manager, Backend Engineers and other ML Scientists playing a key role in building innovative models to power Depops search engine and ranking across the app. Responsibilities You will: Research, design and deliver ML solutions to take … humble great teammate with an ability to work wimulti-functionalnal teams, including technical and non-technical stakeholders Passion for learning new skills and staying up-to-date with ML algorithms Bonus points Experience with Databricks and PySpark Experience with deep learning & large language models Experience with traditional, semantic, and hybrid search frameworks (e.g. Elasticsearch) Experience working with AWS … ago Graduate Recruiter - Systematic Trading Technology & Machine Learning Marketing Data Scientist Digital Business London Western Europe Practice Head - Data Science (Machine Learning/Artificial Intelligence (ML/AI) London, England, United Kingdom 1 week ago London, England, United Kingdom 2 weeks ago Quantitative Researcher with Machine Learning experience, Systematic Equities Greater London, England, United More ❯

Join to apply for the Machine Learning Engineer role at Treecode 1 week ago Be among the first 25 applicants Join to apply for the Machine Learning Engineer role at Treecode Get AI-powered advice on this job and more exclusive features. At Wayve we're committed to creating a diverse, fair and respectful culture that … England, United Kingdom 17 hours ago London, England, United Kingdom 2 weeks ago London, England, United Kingdom 2 weeks ago London, England, United Kingdom 6 days ago Research Engineer, ML, AI & Computer Vision London, England, United Kingdom 2 weeks ago London, England, United Kingdom 4 weeks ago London, England, United Kingdom 1 week ago London, England, United Kingdom 1 month … Learning Software Engineer, Research London, England, United Kingdom 2 months ago London, England, United Kingdom 1 month ago London, England, United Kingdom 2 months ago Research Engineer, ML, AI & Computer Vision London, England, United Kingdom 2 weeks ago City Of London, England, United Kingdom 6 days ago London, England, United Kingdom 1 month ago Were unlocking community knowledge More ❯

can flourish and achieve their highest potential . Our Data Analytics business continues to grow and we are now looking for an experienced and technical Machine Learning (ML) Operations Engineer to join one our offices with hybrid or remote UK working. This is an exciting role and would most likely suit someone with previous experience in a similarrole … where they have gained knowledge and experience of designing, building, optimising, deploying and managing business-critical machine learning models using Azure ML in Production environments. You must have good technical knowledge of Phyton, SQL, CI/CD and familiar with Power BI. Machine Learning Operations Engineer Senior Associate London Remote Full Time Permanent Ref:002981 Please … can flourish and achieve their highest potential . Our Data Analytics business continues to grow and we are now looking for an experienced and technical Machine Learning (ML) Operations Engineer to join one our offices with hybrid or remote UK working. This is an exciting role and would most likely suit someone with previous experience in a similarrole More ❯

Join to apply for the Machine Learning Engineer role at Proximie 2 weeks ago Be among the first 25 applicants Join to apply for the Machine Learning Engineer role at Proximie Get AI-powered advice on this job and more exclusive features. Five billion people in the world do not have access to safe and affordable … England, United Kingdom 2 weeks ago London, England, United Kingdom 4 days ago London, England, United Kingdom 2 months 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 2 weeks ago London, England, United Kingdom 2 weeks … England, United Kingdom 4 days ago London, England, United Kingdom 2 weeks 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 Were unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of More ❯

embedding, Recommendation Systems, and Computer Vision. To Be Successful In The Role, You'll Need 5+ years of hands-on data science experience. In-depth knowledge of AI/ML/DL, Statistics, and related open-source libraries. Awareness of current ML techniques, keen on self-improvement and striving to solve real-world data challenges. Strong skills in SQL and … at least one programming language. Experience in ML model productization and a grasp of MLOps. To be comfortable in code reviews, discussing architecture, and collaborating with a multidisciplinary team for regular model deployments. Experience in deploying online solutions and analysing real-time results through A/B testing. To be passionate about mentoring junior members of the team, and have … Machine Learning), London London, England, United Kingdom 3 days ago Greater London, England, United Kingdom 1 week ago Marketing Data Scientist Digital Business London Senior AI/ML Engineer (Data Science & Software Focus) London, England, United Kingdom 2 days ago Distinguished Research Scientist, Physics Informed AI London, England, United Kingdom 1 week ago London, England, United Kingdom More ❯

Join to apply for the Machine Learning Engineer role at G-Research Join to apply for the Machine Learning Engineer role at G-Research Do you want to tackle the biggest questions in finance with near infinite compute power at your fingertips? G-Research is a leading quantitative research and technology firm, with offices in London … a recently published research paper Writing custom libraries for efficiently training on petabytes of data Reducing model training times by hand optimising machine learning operations Profiling custom ML architectures to identify performance bottlenecks Evaluating the latest hardware and software in the machine learning ecosystem Who are we looking for? Candidates will be comfortable working both independently … science competitions, such as Kaggle Strong object-oriented programming skills and experience working with Python, PyTorch and NumPy are desirable Experience in one or more advanced optimisation methods, modern ML techniques, HPC, profiling, model inference; you dont need to have all of the above Excellent ML reasoning and communication skills are crucial: off-the-shelf methods dont always work on 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 with first-party and APP fraud prevention. We are at … have proven experience with data 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 in a high growth and fast … data technologies like Apache Hadoop and Apache Spark. Familiarity with real-time data processing frameworks such as Apache Kafka or Flink. MLOps & Deployment: Experience deploying and maintaining large-scale ML inference pipelines into production environments. Proficiency with Docker for containerization and Kubernetes for orchestration. Familiarity with AWS cloud platform (experience with GCP or Azure is a plus). Experience monitoring More ❯

analyze continuous physiological signals from wearables. This is a high-impact role with the opportunity to shape the future of digital health and help bring clinically validated, regulatory-ready ML solutions to market The successful candidates starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the … 35+ years of experience applying machine learning to time-series or physiological data Strong foundation in signal processing and time-series modeling (e.g., deep learning, classical ML, anomaly detection) Proficient in Python and ML frameworks such as PyTorch or TensorFlow Familiarity with FDA regulatory pathways for medical software (e.g., 510(k), De Novo), and standards like IEC … or ISO 13485 Experience with MLOps practices and model versioning in compliant environments Preferred Qualifications: Experience building ML models with wearable data (e.g., continuous heart rate, motion, respiration) Exposure to embedded AI or edge model deployment (e.g., TensorFlow Lite, Core ML, ONNX) Knowledge of healthcare data privacy and security (e.g., HIPAA, GDPR) Familiarity with GMLP (Good Machine Learning More ❯

transform drug discovery. Our proprietary AI platform decodes the complexity of genome biology to identify novel drug targets, mechanisms, and genetic medicines inaccessible through traditional methods. With expertise spanning machine learning, bioinformatics, data science, engineering, and drug development, our multidisciplinary team in Toronto and Cambridge, MA is revolutionizing how new medicines are created. Where You Fit In We … are seeking a Machine Learning Scientist to help expand our AI workbench for drug discovery. Pioneered by our company, the application of machine learning and AI to drug discovery is a rapidly advancing field with many unsolved and exciting challenges. Whether you're an early-career researcher or a seasoned expert, you will work with an … and implement advanced machine learning models for RNA biology, systems biology, and structural biology to solve frontier challenges in drug discovery. Collaborate with cross-functional teams (e.g., ML engineering, target discovery, and experimental biology) to drive research projects that identify novel drug targets and preclinical candidates. Design and execute computational and experimental studies to validate and improve model More ❯

MACHINE LEARNING RESEARCH ENGINEER Salary: £48,330 - £62,835 Location: Cambridge - Triangle/Hybrid (2 days per week in the office) Contract: Full Time (35 hours per week), Permanent Shape the future of AI-powered learning solutions with Cambridge University Press & Assessment, a world-leading academic publisher and assessment organisation, and a proud part of the University … of Cambridge. This is an exciting opportunity for Machine Learning Research Engineers to join our innovative Applied AI team. You'll contribute to developing, deploying, and maintaining cutting-edge AI capabilities that drive the success of Cambridge English's products and services. About the Role As a Machine Learning Research Engineer, you will play a pivotal … Optimize and modularize models for reusability and performance. Collaborate with product, validation, and business teams to transform capabilities into impactful product features. Stay at the forefront of AI and machine learning trends to position Cambridge as a leader in AI-driven assessment and learning. Plan, prioritize, and manage own tasks aligned with business objectives. We are also looking More ❯

MACHINE LEARNING RESEARCH ENGINEER Salary: £48,330 - £62,835 Location: Cambridge - Triangle/Hybrid (2 days per week in the office) Contract: Full Time (35 hours per week), Permanent Shape the future of AI-powered learning solutions with Cambridge University Press & Assessment, a world-leading academic publisher and assessment organisation, and a proud part of the University … of Cambridge. This is an exciting opportunity for Machine Learning Research Engineers to join our innovative Applied AI team. You'll contribute to developing, deploying, and maintaining cutting-edge AI capabilities that drive the success of Cambridge English's products and services. About the Role As a Machine Learning Research Engineer, you will play a pivotal … Optimise and modularise models for reusability and performance. Collaborate with product, validation, and business teams to transform capabilities into impactful product features. Stay at the forefront of AI and machine learning trends to position Cambridge as a leader in AI-driven assessment and learning. Plan, prioritise, and manage own tasks aligned with business objectives. We are also looking More ❯

and flexible working arrangements - please speak to your recruiter about the options for this particular role. Grade: GG10-GG11 Are you passionate about working with cutting-edge AI/ML technology? Are you self-motivated to find innovative solutions to complex challenges as part of a team who help keep the UK safe? Join BAE Systems as an experienced Machine Learning (ML) Engineer. As part of our AI team, you will be working with our National Security Customers to understand their business challenges and identity where AI/ML-based solutions can add value. You will lead on prototype development and be responsible for designing, implementing, and deploying AI solutions. This cross-functional role requires a strong foundation … in software engineering, statistics, and AI/ML concepts. Due to the fast-paced change in AI/ML, you are expected to be aware of the latest advancements in AI and ML technologies, ensuring that solutions are both innovative and effective. You'll work as part of an empowered, multi-disciplinary AI team who's purpose is to develop More ❯

other non-disability related questions, please reach out to our Talent Partners. Role Depop is looking for a Senior Machine Learning Scientist to join our new Core ML team in the UK. You will work alongside a cross-functional team of Product Managers, ML Engineers, and fellow ML Scientists, helping build and maintain foundational machine learning … to test hypotheses and guide model and product improvements, ensuring statistical rigour and real-world applicability Stay up to date with research, actively contribute to internal knowledge sharing and ML best practices, and help shape the long-term technical strategy for the team Participate in team ceremonies, such as agile cadences, technical whiteboarding sessions, and planning/roadmapping Communicate technical … Strong Python skills, with the ability to write clean, modular, production-grade code, and a solid understanding of data engineering and MLOps principles Ability to lead end-to-end ML projects, work independently in ambiguous problem spaces, and mentor junior team members Strong collaboration and communication skills, with experience aligning technical approaches with cross-functional teams and stakeholders Bonus Points More ❯

other non-disability related questions, please reach out to our Talent Partners. Role Depop is looking for a Senior Machine Learning Scientist to join our new Core ML team in the UK. You will work alongside a cross-functional team of Product Managers, ML Engineers, and fellow ML Scientists, helping build and maintain foundational machine learning … to test hypotheses and guide model and product improvements, ensuring statistical rigour and real-world applicability Stay up to date with research, actively contribute to internal knowledge sharing and ML best practices, and help shape the long-term technical strategy for the team Participate in team ceremonies, such as agile cadences, technical whiteboarding sessions, and planning/roadmapping Communicate technical … Strong Python skills, with the ability to write clean, modular, production-grade code, and a solid understanding of data engineering and MLOps principles Ability to lead end-to-end ML projects, work independently in ambiguous problem spaces, and mentor junior team members Strong collaboration and communication skills, with experience aligning technical approaches with cross-functional teams and stakeholders Bonus Points More ❯

advice on this job and more exclusive features. Direct message the job poster from Synechron Synechron are seeking a skilled Machine Learning Developer with expertise in Spark ML, predictive modeling, and deploying training and inference pipelines on distributed systems such as Hadoop. The ideal candidate will design, implement, and optimize machine learning solutions for large-scale … data processing and predictive analytics. Responsibilities Develop and implement machine learning models using Spark ML for predictive analytics. Design and optimize training and inference pipelines for distributed systems (e.g., Hadoop). Process and analyze large-scale datasets to extract meaningful insights and features. Collaborate with data engineers to ensure seamless integration of ML workflows with data pipelines. Evaluate … Strong understanding of predictive modeling techniques (e.g., regression, classification, clustering). Experience with distributed systems like Hadoop for data storage and processing. Proficiency in Python, Scala, or Java for ML development. Familiarity with data preprocessing techniques and feature engineering. Knowledge of model evaluation metrics and techniques. Experience with deploying ML models in production environments. Understanding of distributed computing concepts and More ❯

to 1000s of accelerators. Test and evaluate new internal software releases, provide feedback to software engineering teams, make vital code fixes, and conduct code reviews. Benchmark models and key ML techniques to identify performance bottlenecks and improve model efficiency. Design and conduct experiments on novel AI methods, implement them and evaluate results. Collaborate with Research, Software, and Product teams to … Python software development skills (nice to have C other languages). Familiar with deep learning fundamentals: models, optimisation, evaluation and scaling. Capable of designing, executing and reporting from ML experiments. Ability to move quickly in a dynamic environment. Enjoy cross-functional work collaborating with other teams. Strong communicator - able to explain complex technical concepts to different audiences. Desirable Experience … in one or more of: {distributed training of large-scale ML models, building production systems with large language models, efficient computing based on low-precision arithmetic, deep learning models including large generative models for language, vision and other modalities}. Experience writing C Triton/CUDA kernels for performance optimisation of ML models. Have contributed to open-source projects More ❯

Senior Machine Learning Research Engineer Salary: £62,860 - £84,070 Location: Cambridge - Triangle/Hybrid (2 days per week in the office) Contracts: 1x Permanent, Full Time (35 hours per week) 1x Fixed Term (18 months), Full Time (35 hours per week) Shape the future of AI-powered learning solutions with Cambridge University Press & Assessment, a world … leading academic publisher and assessment organisation, and a proud part of the University of Cambridge. This is an exciting opportunity for Machine Learning Research Engineers to join our innovative Applied AI team. You'll contribute to developing, deploying, and maintaining cutting-edge AI capabilities that drive the success of Cambridge English's products and services. About the Role … deploying machine learning solutions in production environments. Strong track record of successfully translating academic research into real-world applications and products. Ability to estimate suitability of candidate ML, NLP, LLM, and GenAI technologies for specific scenarios, estimate the time, cost and outcomes of different solutions, and apply effective risk management to ensure prompt delivery Deep experience in Python More ❯

Machine Learning Engineer - Health Tech Start Up Machine Learning Engineer - Health Tech Start Up This range is provided by Oho Group Ltd. Your actual pay will be based on your skills and experience talk with your recruiter to learn more. Base pay range Direct message the job poster from Oho Group Ltd Machine Learning Engineer - Health Tech Start Up We are seeking a talented and experienced Machine Learning Engineer to join a a rapidly expanding health-tech start-up, who are revolutionary within their field right now. As a Machine Learning Engineer, you will play a critical role in architecting, building, testing, and delivering a new and improved running … United Kingdom 1 week ago London, England, United Kingdom 2 weeks ago London, England, United Kingdom 1 week ago London, England, United Kingdom 5 days ago Graduate Software Engineer ML Data Platform London, England, United Kingdom 3 weeks ago London, England, United Kingdom 18 hours ago London, England, United Kingdom 4 days ago London, England, United Kingdom 6 days ago More ❯

experienced Machine Learning 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 Own the model development and … and investigate new machine 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 domains, including massive-scale … of-the-art technologies, including 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 to rapidly determine what works More ❯

experienced Machine Learning 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 Own the model development and … and investigate new machine 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 domains, including massive-scale … of-the-art technologies, including 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 to rapidly determine what works More ❯

to expand the understanding and 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 to tackle complex challenges by … travel. As a part of 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 Engineer at Trainline you will... … stakeholders to propose innovative data products that leverage Trainlines extensive datasets and state of the art algorithms Create the tools, frameworks and libraries that enables 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 experimentation We'd love to More ❯

to expand the understanding and 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 to tackle complex challenges by … travel. As a part of 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 Engineer at Trainline you will … to propose innovative data products that leverage Trainline's extensive datasets and state of the art algorithms Create the tools, frameworks and libraries that enables 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 experimentation We'd love to More ❯

and AI at Trainline Machine learning is at the heart of Trainline's mission to help millions of people make sustainable travel choices every day. Our ML models power critical aspects of our platform, including: AI agents improving customer support Advanced search and recommendations capabilities across our mobile and web applications Pricing and routing optimisations to find … for a Machine Learning Engineering Manager to join our team help shape the future of train travel. You will be part of a highly innovative AI and ML platform working alongside engineers, scientists and product managers to tackle complex challenges by combining Trainlines rich datasets with cutting edge algorithms. What unites our team is an expertise in the … travel. As a part of 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 Engineering Manager at Trainline you More ❯

and AI at Trainline Machine learning is at the heart of Trainline's mission to help millions of people make sustainable travel choices every day. Our ML models power critical aspects of our platform, including: AI agents improving customer support Advanced search and recommendations capabilities across our mobile and web applications Pricing and routing optimisations to find … for a Machine Learning Engineering Manager to join our team help shape the future of train travel. You will be part of a highly innovative AI and ML platform working alongside engineers, scientists and product managers to tackle complex challenges by combining Trainline's rich datasets with cutting edge algorithms. What unites our team is an expertise in … travel. As a part of 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 Engineering Manager at Trainline you More ❯

prospects, finding creative ways to use machine learning to solve problems, scoping projects, and overseeing the delivery of these engagements. To be successful, you will need strong ML & Data Science fundamentals and will know the right tools and approach for each ML use case. You'll be comfortable with model optimisation and deployment tools and practices. Furthermore, you … business needs and deliver innovative solutions using AI & Cloud. What You'll Do Translating Requirements: Interpret vague requirements and develop models to solve real-world problems. Data Science: Conduct ML experiments using programming languages with machine learning libraries. GenAI: Leverage generative AI to develop innovative solutions. Optimisation: Optimise machine learning solutions for performance and scalability. Custom … Code: Implement tailored machine learning code to meet specific needs. Data Engineering: Ensure efficient data flow between databases and backend systems. MLOps : Automate ML workflows, focusing on testing, reproducibility, and feature/metadata storage. ML Architecture Design: Create machine learning architectures using Google Cloud tools and services. Engineering Software for Production: Build and deploy production-grade More ❯