2,626 to 2,650 of 3,872 Machine Learning Jobs in the UK

About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs … research to identify trends, competitive landscape, and customer needs. Use insights to inform product development and marketing strategies. About you • Technical background working on highly technical products (AI/ML, Data, etc) as Solution Architect, Engineer, Consultant, etc (MLE or SWE background is a plus) • Solid coding skills, especially in Python, enough to build demos and reference architectures • Solid business … experience working as Product Marketer or Manager on highly technical products (AI/ML, Data, etc), building PMF, GTM, positioning and/or USPs • Solid understanding of complex sales cycles and strategies, and has ideally been exposed to clients and technical audiences • Excellent communication skills (verbal & written), with ability to translate complex technical concepts into clear & compelling messages that serves More ❯

improvements to prevent incidents and optimize performance. Maintain and evolve monitoring platforms, including synthetic and application monitoring, responding to alerts and identifying bottlenecks. Assist in deployment and maintenance of Machine Learning platforms and services. Support service transition, providing documentation, training, and handover for services post go‐live. What You’ll Need Strong hands‐on experience with Azure services More ❯

Engineer who's ready to lead from the front, drive innovation, and help elevate our technology to the next level. What Your Day Will Look Like: As a Senior ML Engineer, you'll be at the heart of our development lifecycle. You'll work closely with product managers, annotation specialists, and engineers across the Computer Vision and ML teams. Here … s what a typical week might involve: Designing and developing new machine learning models with a focus on real-time performance Integrating cutting-edge ML features into our SkeleTRACK product Analysing model performance and identifying areas of improvement Mentoring junior engineers and driving technical discussions Collaborating with annotation teams to ensure data quality and workflow efficiency Staying ahead … of the curve by keeping up with CV/ML research and attending top conferences Proactively identifying problems and owning solutions from design to delivery This is a role that demands both depth and breadth, you'll be expected to ship clean, well-structured code and contribute meaningfully to architectural decisions. Tech Stack and Skill Requirements: We work at the 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 ❯

mind-set to systems engineering, building a culture of experimentation and failing fast Collaborate with your peers in similar roles across the UK to promote a culture of continual learning and improvement, acting as a change agent for systems engineering About You You will have proven experience as a Chief/Lead Engineer (or role with similar responsibilities), with … Domain experience any of the following specialisms; Telecommunications, RF, Electronic Warfare, Electro-Optics, Air/Land/Sea sub-system Platform Integration, Data Distribution Services, Sensor Fusion, AI/Machine Learning Practitioner level ability using Model Driven Engineering tool e.g. Cameo Systems Modeler, Matlab, Simulink, DOORS (classic) All successful applicants must be eligible for full security clearance and More ❯

Preferred Qualifications, Capabilities, and Skills: Experience in the Data/AI industry or related fields. Familiarity with strategic enablement and analytics tools. Interest or experience in the Artificial Intelligence & Machine Learning space, including Traditional and Generative AI, with knowledge of industry trends J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and More ❯

of statistical analysis and experiment design. Ideally a bachelor’s degree or similar in, Mathematics, Statistics, or a related quantitative discipline is advantageous but not essential Experience in developing machine learning models using advanced techniques. Expert proficiency in SQL and databases, with the ability to write structured and efficient queries on large data sets. Experience with dbt, Python More ❯

of statistical analysis and experiment design. Ideally a bachelor’s degree or similar in, Mathematics, Statistics, or a related quantitative discipline is advantageous but not essential Experience in developing machine learning models using advanced techniques. Expert proficiency in SQL and databases, with the ability to write structured and efficient queries on large data sets. Experience with dbt, Python More ❯

Type: Full-Time/Permanent Salary: Negotiable DoE £70,000 - £100,000 plus good bonus Job Reference: J12971 About the Company Our client are a fast-growing Data Science, Machine Learning, and AI Consultancy supporting some of the UK and Europe's leading private equity firms and high-growth businesses. Their work spans strategic data science engagements, AI More ❯

Big role with an innovative scale-up which has big name brands on their client list already. The client A fast-growing tech company working at the intersection of machine learning and complex engineering, with a particular focus on helping manufacturers design and deliver better products, faster and more sustainably. Their software uses advanced, data-efficient AI to … in system design and calibration. Backed by major industry investors and recognised in national innovation awards, they're scaling rapidly with a focus on impactful, real-world applications of machine learning. Looking for someone who can come into their Cambridge office, 1-2 times a week ideally. Sponsorship, is not being offered. The role As a senior design leader More ❯

shape exciting and innovative projects that will be critical to achieving the strategic business objectives. You will have the chance to dive into cutting edge tech including Azure, AI, Machine Learning, and more. As Lead Developer, you will be working across multiple application stacks providing expertise in selecting new technologies, maintaining existing platforms and developing exciting new solutions More ❯

Type: Full-Time/Permanent Salary: Negotiable DoE £70,000 - £100,000 plus good bonus Job Reference: J12971 About the Company Our client are a fast-growing Data Science, Machine Learning, and AI Consultancy supporting some of the UK and Europe's leading private equity firms and high-growth businesses. Their work spans strategic data science engagements, AI 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 ❯

and improving ETL processes. Strong proficiency in SQL and other programming languages used for data analysis. Advanced expertise in Power BI or similar data visualisation tools. Solid understanding of machine learning platforms and algorithms. Vision, insight, and the drive to lead change and deliver meaningful results. What you'll get in return A competitive salary 33 days of More ❯

Statistics, Mathematics or another analytical subject Experience in a pricing or actuarial role within general insurance Experience with price optimisation tools (Earnix/Radar) Experience using and implementing advanced machine learning methods Able to communicate complicated statistical concepts to an informed but non-technical audience Experience with using software packages such as R or Python to solve problems More ❯

Statistics, Mathematics or another analytical subject Experience in a pricing or actuarial role within general insurance Experience with price optimisation tools (Earnix/Radar) Experience using and implementing advanced machine learning methods Able to communicate complicated statistical concepts to an informed but non-technical audience Experience with using software packages such as R or Python to solve problems More ❯

Statistics, Mathematics or another analytical subject Experience in a pricing or actuarial role within general insurance Experience with price optimisation tools (Earnix/Radar) Experience using and implementing advanced machine learning methods Able to communicate complicated statistical concepts to an informed but non-technical audience Experience with using software packages such as R or Python to solve problems More ❯

selling and solution-based sales approaches Industry Knowledge Understanding of the European beauty/skincare market or demonstrated ability to quickly learn complex technical products Familiarity with AI/ML concepts and ability to communicate technical benefits to non-technical buyers Existing network within UK/EU beauty or retail industries is a strong advantage Core Competencies Exceptional verbal and … Fully remote position with flexibility across UK and EU time zones Regular travel opportunities to meet clients across Europe (expenses covered) Access to cutting-edge AI tools and continuous learning opportunities More ❯

Statistics, Mathematics or another analytical subject Experience in a pricing or actuarial role within general insurance Experience with price optimisation tools (Earnix/Radar) Experience using and implementing advanced machine learning methods Able to communicate complicated statistical concepts to an informed but non-technical audience Experience with using software packages such as R or Python to solve problems More ❯

Statistics, Mathematics or another analytical subject Experience in a pricing or actuarial role within general insurance Experience with price optimisation tools (Earnix/Radar) Experience using and implementing advanced machine learning methods Able to communicate complicated statistical concepts to an informed but non-technical audience Experience with using software packages such as R or Python to solve problems 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 ❯

of statistical analysis and experiment design. Ideally a bachelor's degree or similar in, Mathematics, Statistics, or a related quantitative discipline is advantageous but not essential Experience in developing machine learning models using advanced techniques. Expert proficiency in SQL and databases, with the ability to write structured and efficient queries on large data sets. Experience with dbt, Python More ❯

Experience with tech stack including: Language: Python, Golang Platform: AWS Framework: Django, Spark Storage/Data Pipelines: Postgres, Redis, ElasticSearch, Kafka, Parquet Nice To Have Prior exposure to production machine learning systems. More ❯

Group Framework (ILM, LCR, NSFR, PRA110, and other secondary monitoring metrics), Bank financial systems, related business areas, products and their strategic drivers Create liquidity modelling capabilities in Python, leveraging machine learning capabilities Ability to query big data, perform data transformation and data analysis on large datasets Ability to work independently, manage offshore resources and influence key stakeholders to More ❯

Group Framework (ILM, LCR, NSFR, PRA110, and other secondary monitoring metrics), Bank financial systems, related business areas, products and their strategic drivers Create liquidity modelling capabilities in Python, leveraging machine learning capabilities Ability to query big data, perform data transformation and data analysis on large datasets Ability to work independently, manage offshore resources and influence key stakeholders to More ❯