2,526 to 2,550 of 3,287 Machine Learning Jobs in the UK

company, and on our clients and business partners around the world. Job responsibilities Drives the direction of a greenfield AI/ML-centric fraud risk product Defines product strategy, requirements, roadmap and prioritisation Delivers product capabilities that deliver both reactive fraud detection and proactive fraud prevention through AI/ML … building something new. Things change quickly. We need you to learn technologies and patterns quickly. Preferred qualifications, capabilities and skills Experience building data, machine learning or model platforms Experience working with agentic workflows, prompt engineering and LLMs to solve real-world problems Experience working in a highly regulated ...

contribute to the development, optimisation and deployment of AI models for low‐power intelligent hardware systems. This role is ideal for graduates interested in machine learning, Edge AI, embedded AI deployment, intelligent hardware and hardware‐aware AI optimisation. What You Will Do Support development and optimisation of machine learning models. Work on AI model compression, quantisation and deployment workflows. Assist with benchmarking, profiling and performance analysis. Support deployment of AI models onto embedded and constrained hardware platforms. Collaborate with FPGA, embedded and semiconductor engineers. Contribute to hardware‐aware AI optimisation and Edge AI workflows. Support development ...

least, 4 years leading design teams at scale. Expertise in search, discovery, or recommendation systems, with a deep understanding of how AI and ML shape relevance, ranking, and explainability. A proven track record of designing experiences that simplify complex information and build trust with users. Skilled in translating ambiguous technical … Cursor, etc. Preferred Qualifications: Deep knowledge of semantic and natural language search, conversational interfaces, and AI explainability principles. Experience working with data scientists and ML engineers to translate advanced models into user-facing experiences at scale. Demonstrated strength in connecting design quality to measurable product outcomes through experimentation and data ...

early-stage role where you will help write the playbook. You will be as comfortable in a benchmarking discussion with a customer's ML engineers as you are presenting a solution to their technical leadership, and you will act as a vital channel back into our own product and engineering … next. What You'll Do Work with Lumai’s business development lead, owning the technical relationship Conduct deep technical discovery with customer infrastructure and ML engineering teams Translate customer requirements into a Lumai-based solution, mapping needs against both near-term and roadmap solutions Define the shape of an engagement ...

traditional data annotation role. You'll be responsible for developing and improving annotation workflows, maintaining tooling, ensuring dataset quality, and working closely with machine learning engineers to create reliable training data for advanced computer vision models. You'll play a key role in ensuring data quality throughout … machine learning lifecycle, helping improve model accuracy by creating robust, well-structured datasets. Responsibilities Prepare, curate and annotate large-scale image and video datasets. Develop and improve annotation workflows and tooling. Configure and maintain annotation platforms. Create annotation guidelines and documentation. Validate dataset quality and consistency. Perform quality ...

Data Idols, we are working with a major UK retail and consumer brand undergoing a significant data and AI transformation, placing advanced analytics and machine learning at the centre of commercial decision‐making across the business. They are looking for a Data Science Manager to lead a high … Data Science Manager, you’ll lead both the technical direction and people development of the team, helping shape the roadmap for how machine learning and advanced analytics are applied across the organisation. You will be responsible for translating complex analytical outputs into clear, commercially focused recommendations, helping establish ...

retail brand that is investing heavily in customer data, personalisation, and AI to transform how it engages with millions of customers. Data and machine learning are at the heart of their strategy, driving more relevant customer experiences, personalised marketing, and customer-centric decision-making across the business. They … Opportunity As the Data Science Manager, you'll lead both the technical direction and development of the team, helping shape the roadmap for how machine learning and advanced analytics are used to better understand customers and deliver personalised experiences at scale. You will be responsible for translating complex ...

understanding of marketplace dynamics. This role involves advanced data mining and analytics, robust product and data validation, and the development of statistical and machine learning-based methodologies. The ideal candidate will have a strong ability to independently research, develop, and maintain high-impact solutions that align Cint … capabilities with market needs, directly influencing strategic decisions for the Exchange. Responsibilities Lead the research, discovery, and full-cycle development of machine learning solutions, including model development, deployment, maintenance, and performance evaluation for the Cint Exchange. Develop a comprehensive, predictive understanding of marketplace dynamics, including price elasticity, supply ...

STEM discipline such as Computer Science, Mathematics, Physics, Engineering, or related fields Commercial experience developing machine learning solutions using Python and modern ML frameworks Strong understanding of applied machine learning techniques, particularly around modelling complex systems and large-scale datasets Experience working with time-series, forecasting … work autonomously within a fast-moving environment Interest in applying machine learning to operational, industrial, or physical systems Desirable Experience Experience deploying ML systems into production environments Exposure to scientific machine learning, simulation, or reinforcement learning Familiarity with cloud infrastructure and scalable ML pipelines ...

accuracy. Changing robotics forever. This fundamentally different approach stems from years of scientific research and a series of breakthroughs in simulation, robotics and machine learning. It has already attracted significant backing from leading investors and now we are assembling a small team of exceptional engineers to help define what … Take ownership of the infrastructure that powers the AI training. This is not a conventional infrastructure role. You will work at the intersection of machine learning, distributed systems, cloud computing, and robotics, building the platforms that enable cutting‐edge research to become production‐ready technology. You may need ...

domain. A generalist mindset with the willingness to work across product, design, and AI boundaries. Experience building modern agentic systems or reasoning through complex ML products. A track record of working on products generating £millions in ARR with high growth. Rapid career progression - such as moving from junior to senior … office. A cycle-to-work scheme and flexible working hours. Reasons We Might Not Be For You We don't have established machine learning infrastructure or a polished corporate playbook - so if you need a well-defined role with clear boundaries, you might find the ambiguity frustrating. ...

role in defining how AI interactions feel on mobile, ensuring experiences are intuitive, performant, reliable, and trustworthy. Working closely with Back End and machine learning engineers, you will contribute to the development of production-grade AI features that users rely on every day. Key Responsibilities Build and maintain … consumption, responsiveness, and battery efficiency Implement analytics and feedback mechanisms to support AI evaluation and product improvements Collaborate closely with Back End, platform, and machine learning teams on API design and product behavior Maintain high standards of application quality, stability, testing, and production readiness Contribute to architectural ...

basic + uncapped commission (Year 1 OTE: £47,000) Company overview: Our client is a specialist technology recruitment consultancy focused on Artificial Intelligence, Machine Learning and Data Science. They partner with venture-backed start-ups, global technology businesses and AI scale-ups, helping them hire some … Year 3 £72k • Build relationships with founders, CTOs and AI leaders • Clear progression into senior consultant and leadership roles The role • Recruiting AI Engineers, Machine Learning Engineers and Data Scientists • Headhunting high-calibre technology professionals across Europe and the US • Managing recruitment processes from brief through to placement ...

available £45k to £95k DoE plus 15% clearance bonus Must be willing to be full-time on-site in Central London Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism ...

leading technology company in Greater London is seeking a Manager, Research Engineering to lead a high-performing engineering team focused on LLM and machine learning development. The role involves managing project direction, mentoring engineers, and fostering innovation in a hybrid work environment. Candidates should have at least ...

Tilt is seeking a Senior Data Scientist to lead the development of deep learning models powering fair credit decisions. You will own end-to-end model design, experimentation, and collaboration with Engineering and Product … deploy scalable, responsible AI in production. You will translate complex data signals into actionable credit solutions, mentor teammates, and advance Tilt’s “people-first” ML strategy across global teams. #J-18808-Ljbffr ...

will collaborate with bio/chemo informaticians, scientists, software engineers and AI specialists to develop data-driven solutions for research and product development, applying machine learning, data engineering and #J-18808-Ljbffr ...

team and shape the company’s data and AI strategy. You’ll work with senior leaders to prioritise opportunities and accelerate the adoption of machine learning and optimisation across the organisation. The Databricks platform underpins production models, analytics and decision-making, with a focus on delivering measurable commercial ...

JPMorgan Chase & Co. invites a Lead Software Engineer to join the AI and Machine Learning Data Platforms team. You will be a core technical contributor, shaping design, delivering secure, scalable software, and advancing trusted technology products in an agile environment. Mentor junior engineers, drive AI-assisted engineering practices ...

developing systematic trading strategies. This remote position emphasizes collaboration with the Senior Portfolio Manager to optimize trading strategies through robust data analysis and machine learning experience. The ideal candidate will have over 3 years of experience in systematic trading and a solid education in a relevant STEM field. ...

global scale. The ideal candidate will possess extensive software engineering experience with proficiency in Python or Java, and hands-on experience in AI and Machine Learning integration. The role offers a hybrid working model and an array of competitive benefits. #J-18808-Ljbffr ...

strategic initiatives. The ideal candidate has over 10 years of experience in software engineering and applied AI, with strong expertise in cloud platforms and machine learning frameworks. This role offers the opportunity to work in a dynamic environment that fosters innovation and collaboration. #J-18808-Ljbffr ...

United States Digital Space LLC seeks a highly skilled Senior Product Manager to lead the product strategy for AI and machine learning platforms. Your role involves setting the vision, managing product roadmaps, and guiding cross-team initiatives to drive measurable outcomes. The ideal candidate will have extensive experience ...

client stakeholders, owning outcomes end-to-end in a consultative engineering environment. You’ll join a high-performing team delivering a large-scale machine learning platform for global clients, collaborating across the full stack and embracing #J-18808-Ljbffr ...

role focused on AI safety mitigations in London. The successful candidate will develop classifiers to detect misuse, evaluate AI systems against threats, and apply machine learning techniques to ensure safety and ethics in technology. Requirements include a Bachelor's degree, substantial experience in software development, and knowledge ...