351 to 375 of 920 Machine Learning Jobs in London

ve assembled a world-class team from Cambridge, MIT, and Google across software, data science, theoretical physics, and computational geometry to build tools that transform large-scale engineering through machine learning and generative AI. They are now looking for a Senior Frontend Engineer with a passion for functional programming and elegant, performant user interfaces. The frontend stack includes … or related discipline) from a leading university, or equivalent practical experience Ability to commute to London once a week Nice-to-haves : OpenGL, Vulkan, Python, Tailwind CSS, AI/ML exposure This role is ideal for someone sharp, pragmatic, and passionate about engineering and design. You'll join a fast-paced startup culture that values learning, experimentation, and collaboration More ❯

footballers’ legs. Ki’s mission is simple. Digitally disrupt and revolutionise a 335-year-old market. Working with Google and UCL, Ki has created a platform that uses algorithms, machine learning and large language models to give insurance brokers quotes in seconds, rather than days. Ki is proudly the biggest global algorithmic insurance carrier. It is the fastest More ❯

footballers’ legs. Ki’s mission is simple. Digitally disrupt and revolutionise a 335-year-old market. Working with Google and UCL, Ki has created a platform that uses algorithms, machine learning and large language models to give insurance brokers quotes in seconds, rather than days. Ki is proudly the biggest global algorithmic insurance carrier. It is the fastest More ❯

footballers’ legs. Ki’s mission is simple. Digitally disrupt and revolutionise a 335-year-old market. Working with Google and UCL, Ki has created a platform that uses algorithms, machine learning and large language models to give insurance brokers quotes in seconds, rather than days. Ki is proudly the biggest global algorithmic insurance carrier. It is the fastest More ❯

footballers’ legs. Ki’s mission is simple. Digitally disrupt and revolutionise a 335-year-old market. Working with Google and UCL, Ki has created a platform that uses algorithms, machine learning and large language models to give insurance brokers quotes in seconds, rather than days. Ki is proudly the biggest global algorithmic insurance carrier. It is the fastest More ❯

against quality standards Solid experience in modern design patterns Expertise towards SOA & Microservices architecture implementation using REST APIs, queue-based messaging patterns, relational and NoSQL databases Working knowledge of Machine learning model integration and MLOps pipelines. Working knowledge of orchestration for AI services. Working knowledge of on-premises/cloud-based infrastructures, SDLC pipelines, and deployments/configurations More ❯

an application demo portal, showcasing the latest and greatest in cloud and application architecture Lead on AI driven approaches to application development and management, helping our customers embed AI, ML and automation into process flows Collaborate with sales, pre-sales and cloud teams across the full customer life cycle to be an expert on engineering modern applications Work with our More ❯

Experience Active UK*C/eDV security clearance (essential). Proven experience as a Product Manager delivering successful data projects - such as data platforms, analytics tools, data warehouses, or ML/AI initiatives. Solid understanding of data architecture, data governance, and cloud platforms (e.g., AWS, Azure, GCP). Strong communication and stakeholder management skills, with the ability to work effectively More ❯

Lead Software Engineer | Python, ML, AI, | Hybrid | London Backed by technology start-up accelerator and venture capital firm £60,000 - £80,000 per annum | 2+ Years of Experience Join a mission-driven AI startup transforming how medical and healthcare organisations collaborate. Using machine learning and advanced recommendation systems, the team helps to matchmake some of the leading Medical … ll have enormous amount of autonomy and project ownership working in a fast paced start up environment. What You’ll Do: Build product-facing AI solutions and collaborate on ML model development, training, and deployment. Design and develop scalable backend and full-stack systems with robust APIs and efficient data flows. Work with SQL & NoSQL databases (Postgres, MongoDB, Elasticsearch) and … rapid delivery with robust architecture and quality. Must-Haves: 1–2+ years of professional software engineering experience (backend, DevOps, or full stack). Proficiency in Python and experience building ML-oriented solutions. Hands-on experience with DevOps, CI/CD pipelines, and version control. Familiarity with cloud platforms, preferably Azure. Comfortable with SQL and NoSQL databases. Right to work in More ❯

Lead Software Engineer | Python, ML, AI, | Hybrid | London Backed by technology start-up accelerator and venture capital firm £60,000 - £80,000 per annum | 2+ Years of Experience Join a mission-driven AI startup transforming how medical and healthcare organisations collaborate. Using machine learning and advanced recommendation systems, the team helps to matchmake some of the leading Medical … ll have enormous amount of autonomy and project ownership working in a fast paced start up environment. What You’ll Do: Build product-facing AI solutions and collaborate on ML model development, training, and deployment. Design and develop scalable backend and full-stack systems with robust APIs and efficient data flows. Work with SQL & NoSQL databases (Postgres, MongoDB, Elasticsearch) and … rapid delivery with robust architecture and quality. Must-Haves: 1–2+ years of professional software engineering experience (backend, DevOps, or full stack). Proficiency in Python and experience building ML-oriented solutions. Hands-on experience with DevOps, CI/CD pipelines, and version control. Familiarity with cloud platforms, preferably Azure. Comfortable with SQL and NoSQL databases. Right to work in More ❯

Lead Software Engineer | Python, ML, AI, | Hybrid | London Backed by technology start-up accelerator and venture capital firm £60,000 - £80,000 per annum | 2+ Years of Experience Join a mission-driven AI startup transforming how medical and healthcare organisations collaborate. Using machine learning and advanced recommendation systems, the team helps to matchmake some of the leading Medical … ll have enormous amount of autonomy and project ownership working in a fast paced start up environment. What You’ll Do: Build product-facing AI solutions and collaborate on ML model development, training, and deployment. Design and develop scalable backend and full-stack systems with robust APIs and efficient data flows. Work with SQL & NoSQL databases (Postgres, MongoDB, Elasticsearch) and … rapid delivery with robust architecture and quality. Must-Haves: 1–2+ years of professional software engineering experience (backend, DevOps, or full stack). Proficiency in Python and experience building ML-oriented solutions. Hands-on experience with DevOps, CI/CD pipelines, and version control. Familiarity with cloud platforms, preferably Azure. Comfortable with SQL and NoSQL databases. Right to work in More ❯

Lead Software Engineer | Python, ML, AI, | Hybrid | London Backed by technology start-up accelerator and venture capital firm £60,000 - £80,000 per annum | 2+ Years of Experience Join a mission-driven AI startup transforming how medical and healthcare organisations collaborate. Using machine learning and advanced recommendation systems, the team helps to matchmake some of the leading Medical … ll have enormous amount of autonomy and project ownership working in a fast paced start up environment. What You’ll Do: Build product-facing AI solutions and collaborate on ML model development, training, and deployment. Design and develop scalable backend and full-stack systems with robust APIs and efficient data flows. Work with SQL & NoSQL databases (Postgres, MongoDB, Elasticsearch) and … rapid delivery with robust architecture and quality. Must-Haves: 1–2+ years of professional software engineering experience (backend, DevOps, or full stack). Proficiency in Python and experience building ML-oriented solutions. Hands-on experience with DevOps, CI/CD pipelines, and version control. Familiarity with cloud platforms, preferably Azure. Comfortable with SQL and NoSQL databases. Right to work in More ❯

optimisation and modelling. Design, implement, and evaluate proof-of-concept methods and benchmarking experiments using state-of-the-art approaches. Leverage both classical computational biology tools and modern deep learning approaches for tasks such as RNA design, optimization, and molecular modeling. Enhance the understanding of AI model behavior in biological applications by contributing to interpretability and performance analysis. Create … therapeutics. Drive foundational research efforts for the company's biological AI models, including leading projects related to protein-focused foundation models. Requirements PhD in Transcriptomics, Computational Biology, Artificial Intelligence, Machine Learning, or a related scientific field, or equivalent industry experience. Strong programming skills, especially in Python, with hands-on experience using deep learning frameworks such as PyTorch … or similar libraries. Proven experience applying classical and deep learning algorithms to biological problems, ideally in domains such as RNA design, optimization, and molecular modeling. Strong foundation in biology, biochemistry, and/or biophysics, with a clear understanding of molecular biology principles and the structure-function relationships of biological macromolecules. Demonstrated ability to design and execute computational experiments, and More ❯

when the right vacancy comes along. The Data & Science Org At Deliveroo we have an outstanding data science organisation, with a mission to enable the highest quality human and machine decision-making. We work throughout the company - in product, business and platform teams - using analysis, experimentation, causal inference and machine learning techniques. We are uniquely placed to … working from home and a parent-friendly working culture Access to free mortgage advice Cycle to Work Scheme or Season Ticket Loans, depending how you wish to travel Excellent learning and development opportunities and access to RooLearn, our learning platform, packed with high quality training and content Regular Employee Resource Group (ERG) led social events - examples include dinners More ❯

or more programming languages. 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging). 2 years of commercial experience in Machine Learning or Artificial Intelligence. Experience programming in Python and Kotlin. More ❯

processes. Assist in the creation of best practices for Agentic Systems architecture and integration, focusing on performance monitoring, optimization, and evaluation. Support your manager in working with AI researchers, ML engineers, and software developers to advance the capabilities of Agentic AI. Learn and contribute to fostering a collaborative and innovative team environment that drives performance and professional growth. Required Qualifications … and Skills: Enthusiastic to learn multi-agent architectures and frameworks like LangChain, AutoGPT, CrewAI. Excited about building or using LLM-powered Agentic solutions. Familiarity with developing, training, and deploying machine learning models, Gen AI models, and knowledge of model evaluation and optimization techniques. Basic understanding of cloud computing platforms (e.g., AWS, Azure, or Google Cloud Platform), containerization technologies More ❯

The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. Responsibilities Analyze raw data: assessing quality, cleansing, structuring for downstream processing Design accurate and scalable prediction algorithms Collaborate with … equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark More ❯

The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. Responsibilities Analyze raw data: assessing quality, cleansing, structuring for downstream processing Design accurate and scalable prediction algorithms Collaborate with … equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark More ❯

The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. Responsibilities Analyze raw data: assessing quality, cleansing, structuring for downstream processing Design accurate and scalable prediction algorithms Collaborate with … equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark More ❯

The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. Responsibilities Analyze raw data: assessing quality, cleansing, structuring for downstream processing Design accurate and scalable prediction algorithms Collaborate with … equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark More ❯

sooner. About the team : We are a specialist division of bp providing industry leading power and energy management services to grid scale battery storage projects around the world using machine learning algorithms to optimise power use and trade energy with grid operators and wholesale electricity markets. About the opportunity : We are seeking a front-end developer who will … field. Why join our team? At bp, we provide an excellent working environment and employee benefits such as an open and inclusive culture, a great work-life balance, tremendous learning and development opportunities to craft your career path, life and health insurance, medical care package and many others. We support our people to learn and grow in a diverse More ❯

all, fun. About the team The Enterprise Data & AI (EDAI) Team, led by the FIS Chief Data & AI Officer (CDAO), is focused on delivering cutting-edge Data, AI, and Machine Learning platforms and models. The group is organized into four engineering Towers: Data Ingestion, Data Engineering, Data Warehousing, and Artificial Intelligence/Machine Learning. These are supported … teams to prioritize features, manage the product backlog, and ensure timely delivery of high-quality solutions. Industry Trends - Stay updated with the latest trends and advancements in AI and ML, to identify opportunities for innovation and incorporate relevant insights into product strategy and development. Performance Monitoring & Optimization - Monitor product performance, analyze key metrics, and drive continuous improvement initiatives to enhance More ❯

still being hands on with technology. We aim to allow growth without becoming “post-technical”. Responsibilities: Collaborate with Data Scientists and Engineers to deliver production quality AI and Machine Learning systems Build frameworks and supporting tooling for data ingestion from a complex variety of sources Consult with our clients on data strategy, modernising their data infrastructure, architecture More ❯

still being hands on with technology. We aim to allow growth without becoming “post-technical”. Responsibilities: Collaborate with Data Scientists and Engineers to deliver production quality AI and Machine Learning systems Build frameworks and supporting tooling for data ingestion from a complex variety of sources Consult with our clients on data strategy, modernising their data infrastructure, architecture More ❯

still being hands on with technology. We aim to allow growth without becoming “post-technical”. Responsibilities: Collaborate with Data Scientists and Engineers to deliver production quality AI and Machine Learning systems Build frameworks and supporting tooling for data ingestion from a complex variety of sources Consult with our clients on data strategy, modernising their data infrastructure, architecture More ❯