3,501 to 3,525 of 5,193 Machine Learning Jobs in the UK

Overview Conduct original research in computer vision, machine learning, and spatial AI. Design, implement, and evaluate novel algorithms for 3D reconstruction, neural scene representations, 3D Gaussian Splatting, geometric deep learning, Structure-from-Motion (SfM), feed-forward models, and spatial foundation models. Collaborate with research scientists and engineers … constraints, and real customers. Publish research findings at leading conferences such as CVPR, ICCV, ECCV, or SIGGRAPH. Responsibilities Conduct original research in computer vision, machine learning, and spatial AI. Design, implement, and evaluate novel algorithms for 3D reconstruction, neural scene representations, 3D Gaussian Splatting, geometric deep learning ...

complex problems, break them down into manageable milestones, and collaborate with cross-functional teams to deliver sustainable solutions. Safely integrate and operate AI/ML-enabled solutions that improve outcomes, including familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real-world products. Minimum … SLOs, and SLIs. Strong commitment to test-driven development, proactive monitoring, and operational excellence in production environments. Demonstrated proficiency in safely integrating AI/ML-enabled solutions within backend systems and leveraging AI-driven tools or workflows to enhance real-world product outcomes. Accommodation requests Expedia Group is committed ...

meet our KPIs and using in-house tools and software- Assume the role of a subject matter expert for Machine Learning (ML) data workflows and demonstrate proficiency in researching, creating factually and grammatically correct responses, ranking responses, creating grammatically correct text, speech, image, video annotation.- Ability to make … unblock operations- Demonstrate ownership in floor support to clarify internal queries during execution on need basisA day in the lifeWe are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data, to assess and improve ...

data scientist who’s comfortable building data pipelines bringing together internal and external data to create market‐leading insights using both classical and ML techniques. This will include looking at demand, renewables and transmission system fundamentals forecasts focussed to begin with on the GB intraday power market. What … concepts Team player excited at the idea of ownership across lots of different projects and tools Passion for driving towards Net Zero Experience with Machine Learning is essential Experience in the electricity industry in GB would be useful but not required If this sounds like you then ...

fraud and financial crime are detected across a growing fintech business. You'll take ownership of detection strategies, transaction monitoring, rules engines and machine‐learning driven decisioning, helping to protect customers while ensuring the business remains compliant with UK regulations. If you have a strong background in financial … crime and fraud, combined with experience working alongside data science and machine‐learning teams, this could be the ideal next step in your career. The Role As Head of Detection & Decisioning, you'll be responsible for building and leading a specialist function focused on financial crime detection across ...

fraud and financial crime are detected across a growing fintech business. You'll take ownership of detection strategies, transaction monitoring, rules engines and machine learning driven decisioning, helping to protect customers while ensuring the business remains compliant with UK regulations. If you have a strong background in financial … crime and fraud, combined with experience working alongside data science and machine learning teams, this could be the ideal next step in your career. The Role As Head of Detection & Decisioning, you'll be responsible for building and leading a specialist function focused on financial crime detection across ...

primary focus on: idea generation, data gathering and research/analysis, model implementation and backtesting for systematic equity strategiesCombine rigorous scientific methods and machine learning or statistical learning techniques to explore, analyze, and harness a large variety of datasets in order to build strong predictive models which … will be deployed to the investment processDevelop and improve sophisticated python-based software tools and libraries for machine learning researchesWrite and maintain neat, modular code on a jointly owned codebase of significant size and complexityCollaborate with the SPM in a transparent environment, engaging with the whole investment processPreferred ...

Production ownership mindset - you\'ve been on-call, triaged incidents under pressure, and improved systems after postmortems. You take reliability personally. Nice to Have ML infrastructure or MLOps experience - understanding of how training jobs run, how model artifacts are managed, and what makes an evaluation pipeline trustworthy; you\'ve worked … alongside or directly supported ML researchers. Distributed compute frameworks - experience with large-scale parallel data processing, whether for data transformation, model training, or evaluation. Domain knowledge in robotics or embodied AI - familiarity with robot data formats, sensor telemetry, or the sim-to-real evaluation loop is a significant head start. ...

building a product organisation where AI isn’t a buzzword - it’s how we work. From rapid prototyping with generative AI to using machine learning models that power our core pricing, our PMs operate at the frontier of what technology can do for insurance.From enhancing pricing models … comfortable in Snowflake as you are in a strategy review.Technical depth. Comfortable engaging engineers on system architecture, APIs and ML pipelines, enough to make informed strategic bets.You work AI-first. You will use AI daily here, and we mean daily. You do not need to arrive an expert ...

J.P. MORGAN is seeking an Applied AI ML Director specializing in NLP/LLM and graphs to apply advanced ML techniques to real-world problems. The role emphasizes collaboration across business and technology teams to deploy scalable AI solutions with a strong focus on governance and regulatory compliance. The candidate … should have a PhD or equivalent experience in quantitative fields, deep learning expertise, and a proven record in building agentic AI systems that operate in regulated environments. #J-18808-Ljbffr ...

Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud Platform click apply for full job details ...

well-defined and dynamic roadmap. By acting as a hands-on technical leader, you will empower your Senior Data Scientist to build robust machine learning models, and your Senior Data Analyst to scale impactful reporting processes Role Requirements: Strategic Direction & Roadmap: Define, build, and own the combined data … maintained across both predictive modeling and business intelligence. Hands-on Technical Support: Actively participate in the technical work. Provide direct support in developing machine learning models, building complex analytical pipelines, and structuring advanced reporting frameworks. Resource & Capacity Management: Oversee workload and project allocation across the two streams. Regularly ...

taking a different approach to AI. Rather than relying on off-the-shelf products, we build our own enterprise-grade AI and machine learning solutions, tailored to the unique needs of our business and the 30,000+ colleagues who use them every day. As our investment … function within Iceland, responsible for delivering solutions across all areas of the business. Our AI Squad focuses exclusively on developing enterprise-grade AI and machine learning capabilities. The team has grown significantly in recent years, and we now operate in agile squads, each owning its own workstream ...

long-term research initiatives. As a Research Scientist, you will work on cutting-edge AI problems, pushing the boundaries of what is possible in machine learning and artificial intelligence to solve complex, real-world challenges. Visa sponsorship is not explicitly marked on this role. Relocation support … Advanced degree (PhD or equivalent) in Computer Science, AI, or related technical field, with a proven track record of research excellence.. Prepare examples for: Machine Learning, Deep Learning, Artificial Intelligence, Research & Development, Strategic Planning. Job Overview Research Scientist, Strategic Bets, DeepMind Job Type Full-time Category Research ...

range of applications. The role will involve a combination of: Applied physics and experimental research Imaging technology development Data analysis and algorithm development Machine learning/artificial intelligence applications Scientific modelling and simulation Technical reporting and stakeholder engagement A strong understanding of MATLAB is essential , as you will … extensively to develop, test and optimise algorithms and analytical solutions. Analyse complex datasets and translate findings into technical reports, recommendations and executive summaries. Develop machine learning and AI-based algorithms, including deep learning approaches, to improve detection performance and reduce false positives. Work closely with engineering, operations ...

Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud Platform. By partnering with us, clients future-proof their operations, unlock actionable insights, and ... WKCL1_UKTJ ...

Technology Team within Arm develops key technologies which will form the foundation of future products.You will join a multinational, multifaceted, collaborative and highly motivated Machine Learning Hardware Architecture team in Central Technology to help craft the direction of Machine Learning in Arm IP designs.Job Overview … will be working on a team that enables the capabilities of Arm's machine learning accelerators by creating tools that push the limits of the architecture. These tools are used across the architecture group to demonstrate that proposed features are suitable for implementation and can be unlocked ...

scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer various learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Minimum Qualifications Bachelor's degree in computer science, mathematics … physics, electrical engineering, machine learning or equivalent equivalent practical experience 5 years of experience with software development in one or more programming languages. 5 years of experience with training of Machine Learning models. Experience in industry or a research lab working on machine learning ...

Retail, Python, SQL, Roadmaps, Cloud Analytics, Southampton area 2-3 days a month minimum. You will be leading a Data Science team to deliver machine learning and advanced analytics solutions that improve customer insight, drive commercial decision-m click apply for full job details ...

will be responsible for developing high-reliability, secure-by-design firmware for sophisticated life-saving devices. You will be porting complex AI and machine learning algorithms (developed in Python/MATLAB) directly onto embedded platforms to drive real-time detection capabilities. Technical Focus: Architecture: Expert-level development … Implementation and optimization using FreeRTOS or similar. Connectivity: Mastery of digital communication protocols (I2C, SPI, CAN Bus, Ethernet). Innovation: Deploying Edge AI and machine learning algorithms on-chip (e.g., Nvidia Jetson). Your experience; Commercial Edge: You have at least 5 years of experience in a commercial ...

heart of this USP, developing the credit risk models to underwrite loan and credit card products. You will have access to the latest machine learning techniques combined with a rich data repository to deliver best in market risk models. This role will primarily focus on our US unsecured … identify issues, translate business problems into data questions, analyse and propose solutions. We self-serve with all deployment and monitoring, without a separate machine learning engineering team. Design, implement, manage and evaluate experiments of products and services leading to constant innovation and improvement. Responsibilities Learn the domain ...

standards, governance or maturity have previously been inconsistent. The role requires broad architectural depth across applications, data, infrastructure, integration, cloud, security and AI/ML, alongside the judgement to know where to prioritise effort for the greatest commercial impact. What you'll need to succeed The successful individual is likely … bring broad, cross-domain expertise. This includes strong understanding across applications, data, infrastructure, integration, cloud and security, alongside a working appreciation of AI and machine learning and how these can be applied in a practical business context. Experience working with data platforms and analytics, coupled with an understanding ...

designing, developing, and deploying advanced AI Agentic Solutions that exhibit autonomous, proactive, and adaptive behaviors. This role requires a deep understanding of AI/ML technologies, integration, automation experience and solution architecture, combined with strong problem-solving skills and the ability to collaborate across multidisciplinary teams.In this role, you will … concepts into accessible insights for non-technical audiences.RequirementsQualifications/Experience/Technical SkillsBTech/BE or higher technical education in Computer Science, Artificial Intelligence, Machine Learning, or a related field.A total of 4+ years of relevant experience in design, development, and implementation.Proven experience in AI engineering, with ...

production. You'll focus on optimising AI workloads across the hardware and software stack, developing low-level kernels and improving the performance of modern machine learning systems. Working closely with a highly technical team, you'll analyse AI models, profile workloads, identify bottlenecks and implement optimisations that deliver … throughput, latency and efficiency. Responsibilities Optimise compute-intensive AI workloads across GPUs, AI accelerators and emerging hardware Develop and tune low-level kernels for machine learning applications Profile, benchmark and analyse system performance using industry-standard tools Identify performance bottlenecks across hardware and software layers Work with customers ...

high-performing team of product managers, setting clear goals and raising the bar on product craft and rigor.Champion the use of AI and machine learning to move defenses from reactive, rules-based systems toward adaptive, model-driven detection.Partner cross-functionally with regional General Managers, Legal, Compliance, Operations, Data … expertise in Fraud, Trust & Safety, or Integrity, covering areas such as payments fraud, account takeover, abuse prevention, or identity verification.Direct experience applying AI/ML models to fraud detection and prevention, with the ability to partner closely with Data Science and Engineering teams.Experience operating across multiple international markets, with ...