1,376 to 1,400 of 4,968 Machine Learning Jobs in England

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. … execution of algorithmic approaches to commercial problems. Managing data science or engineering activity via both people management and technical leadership. Experience developing industrialised machine learning applications and services. Understanding the importance of market compliance and core regulatory requirements. Understanding of what it takes to build a good engineering ...

development and contribute to the ongoing quality and safety of the codebase. Collaborate with engineers and data teams to design and deliver AI/ML‐driven features using internal ML inference APIs and external LLMs. Work closely with Product, Design, Data Science and engineering teams to understand priorities, dependencies … would be beneficial. Our Tech Environment: OpenSearch AWS serverless .NET/C# React Node.js TypeScript GraphQL Terraform GitHub and CI/CD pipelines Internal ML inference APIs and external LLMs Our Interview Process: Stage 1: Recruiter Screening Call 15-30mins Stage 2: Take home tech test Stage 3: Pairing ...

deliver reliable customer outcomes. Customer engagement and enablement Deliver technical demos, workshops, architecture reviews, and proof‐of‐concepts that move opportunities forward. Explain machine learning clearly to engineers, operators, executives, and other non‐technical audiences. Build trusted relationships and manage technical stakeholders from evaluation through production. Ecosystem contribution … deployments. Skills and experience Core requirements Strong Python and practical experience with YOLO, OpenCV, PyTorch, and computer vision. Experience training, optimizing, evaluating, and deploying machine learning models. Comfortable with Docker, Git, REST APIs, Linux, cloud platforms, and edge workflows. Experience deploying across Linux, macOS, and Windows environments. Proven ...

development and contribute to the ongoing quality and safety of the codebase. Collaborate with engineers and data teams to design and deliver AI/ML‐driven features using internal ML inference APIs and external LLMs. Work closely with Product, Design, Data Science and engineering teams to understand priorities, dependencies … would be beneficial. Our Tech Environment: OpenSearch AWS serverless .NET/C# React Node.js TypeScript GraphQL Terraform GitHub and CI/CD pipelines Internal ML inference APIs and external LLMs Our Interview Process: Stage 1: Recruiter Screening Call 15-30mins Stage 2: Take home tech test Stage 3: Pairing ...

part of a pioneering Analytics Team dedicated to enhancing processes and systems. This role offers exposure to extensive data projects encompassing data analytics, programming, machine learning and Research and Development, giving you a chance to take a senior role and lead several high profile projects. Collaborating across SCOR … Good knowledge or experience of coding Python and/or R or the desire to learn coding. Interest or knowledge of data science and machine learning technique Some Actuarial training (actuarial trainees or those who have given up exams will both be considered) Pricing experience with Knowledge ...

data services turning complex data into products that improve customer outcomes and create commercial value. You'll also help identify where AI and machine learning could enhance customer experiences, automate workflows and unlock new insights. If you're a hands-on Product Manager who combines customer curiosity, commercial … customer value and commercial return. Work with customers to understand their reporting, integration and decision-support requirements. Identify opportunities to apply AI and machine learning to real customer challenges, ensuring new capabilities deliver measurable value. Collaborate with Product Owners, Engineering, UX and Data teams to translate strategy into ...

ready global river data infrastructure. Reporting to Professor Louise Slater, you will lead research combining large-scale Earth observation data, global hydrography and advanced machine learning. The project will integrate measurements from the SWOT satellite mission with Oxford's Global River Topology (GRIT) hydrography to develop verified, uncertainty-aware … predictions of river flow direction and connectivity. You will lead the development of scalable and reproducible data and machine-learning pipelines, upgrade the GRIT global hydrography, and design and evaluate models ranging from baseline approaches to graph neural networks. You will also oversee the open release of project ...

build computational pipelines for processing, validating, and analysing biomedical data for use in Sable platform models and features. Develop and apply statistical or machine‐learning methods to quantify and prioritise biological risks. Interpret results in a biological and translational context, with a focus on supporting drug discovery decision … good software and data‐engineering practices. Requirements We are looking for self‐motivated individuals who can take ownership of projects, with enthusiasm for continuous learning and professional development. PhD or MSc in Computational Biology, Bioinformatics, or related field or BSc with 3+ years of relevant experience applying computational methods ...

specific team from the outset, your impact will be felt throughout the business. Expect to: Develop your capability through a blend of structured learning and hands‐on experience Get exposed to real business challenges in real environments Transition from learning to delivery at an unmatched pace Keep … every day Use technology to solve real problems, improve experiences and help the business work better Build your confidence as an engineer while learning how software is designed, developed and delivered at serious scale Support in your corner A learning journey that’s made for you, delivered through ...

specific team from the outset, your impact will be felt throughout the business. Expect to: Develop your capability through a blend of structured learning and hands‐on experience Get exposed to real business challenges in real environments Transition from learning to delivery at an unmatched pace Keep … every day Use technology to solve real problems, improve experiences and help the business work better Build your confidence as an engineer while learning how software is designed, developed and delivered at serious scale Support in your corner A learning journey that’s made for you, delivered through ...

specific team from the outset, your impact will be felt throughout the business. Expect to: Develop your capability through a blend of structured learning and hands-on experience Get exposed to real business challenges in real environments Transition from learning to delivery at an unmatched pace Keep … every day. Use technology to solve real problems, improve experiences and help the business work better. Build your confidence as an engineer while learning how software is designed, developed and delivered at serious scale. Support in your corner You’ll get: A learning journey that’s made ...

specific team from the outset, your impact will be felt throughout the business. Expect to: Develop your capability through a blend of structured learning and hands-on experience Get exposed to real business challenges in real environments Transition from learning to delivery at an unmatched pace Keep … every day. Use technology to solve real problems, improve experiences and help the business work better. Build your confidence as an engineer while learning how software is designed, developed and delivered at serious scale. Support in your corner You’ll get: A learning journey that’s made ...

only company pioneering leadership coaching for large enterprises in an AI-first way.Our mission is to transform how the world\'s biggest companies approach learning and development, helping teams work better together throughAI-powered personalization that adapts to individual goals and organizational culture using the latest advances in machine learning and natural language processing. We\'ve been featured inHarvard Business Review, TIME, World Economic Forum, Financial Times, Forbes and an Inc. 5000 fastest-growing private companies in America.Our clients represent the most diverse and sophisticated enterprise AI implementations globally, includingCoca-Cola, Delta, Nestlé, General Mills, Schneider Electric ...

specific team from the outset, your impact will be felt throughout the business. Expect to: Develop your capability through a blend of structured learning and hands‐on experience Get exposed to real business challenges in real environments Transition from learning to delivery at an unmatched pace Keep … every day Use technology to solve real problems, improve experiences and help the business work better Build your confidence as an engineer while learning how software is designed, developed and delivered at serious scale Support in your corner You’ll get: A learning journey that’s made ...

knowledge of motor insurance pricing, burn cost modelling, rating structures, underwriting risk and claims cost drivers, with experience of statistical modelling, predictive analytics or machine learning techniques within a general insurance pricing environment. Pricing Technology & Data Platforms: Proficiency in pricing and data tools such as WTW Radar, Databricks … numerical capability, with strong attention to detail and the ability to challenge assumptions, methods and outputs. Experience using statistical modelling, predictive analytics or machine learning techniques within a general insurance pricing environment. Proficiency with pricing and data tools such as WTW Radar, Databricks, Python, PySpark, SQL or similar ...

skills Enrolled in a Bachelor's or Master's program in a relevant field (e.g., mathematics, statistics, physics, engineering, computer science, data science, or machine learning). Graduating between September 2026 to March 2028 Demonstrates computer programming experience (e.g., Python, C++, or another programming language). Demonstrates analytical … demonstrated interest in finance through coursework or prior experience. Shows confidence and initiative to take ownership and manage projects independently. Applies knowledge of machine learning and data science concepts, techniques, and tools. About Us At JPMorganChase, we're creating positive change for the diverse communities we serve. ...

Build With Us Today, there’s a lot of hype around ‘verticalized AI’ but when our journey started in 2021, people outside of the ML community barely knew or cared about active reinforcement learning. ChatGPT didn’t exist. I remember getting frustrated and thinking... … transition to a more managerial/executive role. Lead an autonomous lance of elite engineers to fix healthcare and save lives. Work with the ML/data team to creatively ideate and ship features to improve ETL pipeline throughput and quality through a data-driven approach powered by analytics. #J ...

Platform’s Core platform - the services and infrastructure that let us deploy to a multitude of public cloud providers and that powers many ML and LLM powered features. We give every other engineering team a reliable base to build on, and we own the software delivery lifecycle … This is an exciting opportunity to grow professionally while contributing to a mission-driven organization. Responsibilities What you’ll own Reliability of platform(includes ML and LLM workloads) - model serving and inference infrastructure (GPU-backed endpoints, autoscaling, latency and cost tradeoffs), with SLOs, on-call, and incident response that cover ...

systems such as Tanstack Query or Zustand. Strong proficiency with Python Familiarity with Git and software engineering principles Confidence in collaborating across disciplines, and learning new tools every day An appreciation for game design and development principles Nice to Have: Proficiency or familiarity with machine learning concepts ...

Data, Analytics and AI organisation of Arrive. The Data Science Products team ingests billions of complex sensor data points daily to produce advanced machine learning products that help millions of drivers park or charge electric vehicles. For example, we predict the availability of parking in cities across … services with high confidence and zero downtime. Advance Data Capabilities : Lead the hands-on development of platform enhancements, such as establishing feature stores for machine learning and building automated data monitoring systems to ensure data integrity and model reproducibility. Scale AI Practices : Lead the adoption of AI throughout ...

Strong understanding of software engineering fundamentals, system design and performance optimisation. Experience building products and platforms from concept through to production. Exposure to AI, Machine Learning or LLM‐powered applications is highly desirable. A passion for modern engineering practices, continuous learning and solving complex technical problems. Benefits ...

Model ML is the AI workflow builder transforming how major financial institutions produce and validate client-ready work. Model ML converts complex, manual processes into fully automated AI systems that scale across global teams. In under a year, Model ML has become one of the fastest growing enterprise AI platforms … uncomfortable; timelines will change, priorities will most likely shift Be prepared to sacrifice your work-life balance in exchange for joining anincredible journey and learning a lot along the way. Requirements Technical Technical stack : Azure (also AWS is a plus), Terraform, AKS (Kubernetes), Docker, Github actions. Observability: Experience implementing ...

automation, data and technology and see the direct impact your work can have on a growing international business. You won’t just be learning about AI in theory. You’ll be getting involved in real projects, building tools, testing new technology, automating processes and finding ways to make … near completion of a qualification, in Computer Science, Computing, Software Engineering, Data Science or a related discipline A genuine interest in AI, machine learning and emerging technology Familiarity with at least one programming language — Python is preferred Strong analytical and problem-solving skills An ability to think logically ...

fleet (VS Code, Python, Git, CLI utilities), balancing developer flexibility with security and compliance standards. Define and support endpoint requirements for AI/ML workloads, including GPU driver management, containerization/WSL2, and local model runtime resource sizing. Partner with engineering and data teams to evaluate, standardize, and roll … Support, Including Configuring and troubleshooting VS Code, Python, and common CLI/developer environments Git‐based version control workflows Endpoint requirements for AI/ML workloads (GPU drivers, WSL2/containers, local model runtimes, resource sizing) Applying governance and device‐management guardrails to developer and AI tooling without blocking productivity ...

growth and help change an industry for the better. About the team GenAI Engineering sits within Motorway's Data and AI function, alongside Machine Learning and the Machine Learning Data Platform. We own the AI features that shape how buyers and sellers experience the marketplace, from ...