126 to 150 of 2,534 Machine Learning Jobs in the UK

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. … relooking for a Senior Algorithm Engineer to join ourAlgorithmic Underwritingteam. You will work at the intersection of underwriting and algorithm development, developing machine learning-enabled products thatoperateacross over 25 classes of business ranging from Commercial Properties to Oil Rigs to Event Contingency insurance. You will help us better ...

Research Engineer to join a collaborative team where cutting-edge ideas become practical solutions. As a Research Engineer, you'll work on advanced machine learning technologies including large language models, reinforcement learning, optimisation, and generative AI, helping shape future semiconductor design and AI systems. … Mathematics, or a related discipline Experience with Large Language Models (LLMs), Reinforcement Learning, optimisation techniques, or generative AI. Experience developing research infrastructure or ML tooling. Knowledge of distributed training, GPU computing, or CUDA. Exposure to semiconductor technologies, chip design, or applied AI research. Commercial or research experience implementing machine ...

manage, and route content reliably at global scale. We’re seeking a Senior Staff Machine Learning Engineer to build and scale foundational ML systems that power content understanding, safety, and decisioning across the platform. In this role, you’ll shape the architecture and technical strategy that ensures content … with content across Spotify. What You Will Do Shape the machine learning strategy for content understanding and platform-level decisioning Build & scale ML systems for classification, moderation, ranking, risk detection across multimodal content Develop automated decisioning systems that ensure content quality, integrity, & policy compliance at scale Design ...

motivated and creative Software Engineers to join a cross-site and multi-culture software team! This role presents an excellent opportunity to move into ML, the key development for the future of computing. Working on the groundbreaking the company technology, you will be crafting the software that powers the next … implement of a Software Development Kit (SDK), ensuring that it meets all the needs from various users. This includes various areas such as ML compiling technologies and high performance ML runtime libraries targeting next generation GPU hardware. More than anything else, you must have a willingness to learn new techniques ...

evaluate, manage, and route content reliably at global scale. We’re seeking a Staff Machine Learning Engineer to build and scale foundational ML systems that power content understanding across Spotify. In this role, you’ll work on systems that generate deep, machine-readable understanding of content across … across large datasets Who You Are You have experience building and deploying machine learning systems in production You are comfortable working with ML frameworks such as PyTorch, TensorFlow, or similar You have experience working with large datasets and care about data quality and evaluation You are interested ...

build production-ready AI features that empower business users to leverage the power of GenAI within their planning workflows, requiring both deep ML knowledge and strong software engineering skills. Your Impact Lead the architecture, design, and deployment of scalable Generative AI and Machine learning systems into production environments. … production environments Implement monitoring, logging, and observability for GenAI systems to track usage, errors, and model behaviour Collaborate with data scientists to productionise ML models and forecasting algorithms Your Skills Extensive hands-on professional experience in the field of Artificial Intelligence, Machine Learning, or related engineering domains. ...

offices. Responsibilities Lead the implementation of data science projects and data science approaches to support commercial goals. Develop a highly proficient team of Machine Learning Engineers, establishing collaborative ways of working. Collaborate with tech, product and data teams to develop the data platforms that allow us to apply … broader customer analytics) “brand” at Kingfisher for both internal and external audiences. Qualifications Proven experience delivering high-quality AI‐based products and productionisation of Machine Learning based products. Proven experience developing cloud‐based machine learning services using one or more cloud providers (preferably GCP). Excellent ...

learning, telecom analytics, network performance analytics, or AIOps analytics. Strong Python skills for data analysis, modelling, and automation. Strong knowledge of statistics, ML basics, feature engineering, and model evaluation. Experience working with network KPIs, alarms, telemetry, inventory, topology, or service assurance data. Understanding of telecom network domains including … data can support AI agents and RAG systems. Experience with BigQuery or similar data warehouse/analytics platforms. Required Technical Skills Python. Statistics and ML basics. Network KPI modelling. RAN, Core, IP, SD-WAN, and Transport KPI understanding. Fault analysis and anomaly detection. AIOps analytics. Data aggregation and data pipelines. ...

will define and lead our data science vision - translating cutting‐edge AI capabilities into real-world business impact. You’ll shape how advanced analytics, ML, and emerging AI technologies are applied across the organisation, ensuring we move beyond pilots into scaled, production‐grade AI solutions. This is a rare opportunity … MLOps, model monitoring, and responsible AI governance Develop and lead a high-performing team Develop, mentor, and inspire a team of data scientists and ML engineers Foster a culture of experimentation, continuous learning, and applied innovation Set a high-performance bar - focused on outcomes, impact, and measurable value Champion ...

relentlessly deliver incredible value to our customers. What's the opportunity? Fin's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands. We are an extremely product‐focused team. We work in partnership … with Product and Design functions of teams we support. Our team's dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from ...

fulfil your potential with meaningful careers. ROLE SUMMARY We are seeking an experienced Data Scientist to help develop and deploy enterprise-scale AI and machine learning solutions that improve operational efficiency, service resilience and customer outcomes. You will work closely with software engineers, SREs, product managers, platform teams … expertise with commercial awareness and the ability to translate complex data into actionable insights and measurable business value. WHAT YOU'LL BE DOING AI & Machine Learning Solutions Design, build and deploy machine learning models to solve operational and business challenges. Develop predictive analytics capabilities focused ...

skills and applying them to some of the most exciting and massive social data and prediction problems that exist on the web.Software Engineer (Leadership) - Machine Learning Responsibilities:Drive the team's goals & technical direction to pursue opportunities that make your larger organization more efficientEffectively communicate complex features & systems … people for staffing/prioritizing these new ideasSuggest, collect and synthesize requirements and create an effective feature roadmapDevelop highly scalable classifiers and tools leveraging machine learning, data regression, and rules-based modelsAdapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore ...

responsibilities In this role, you will design, build and deploy AI-enabled applications within secure, often disconnected environments. You will take ownership of developing machine learning and AI solutions, including large language models, retrieval systems and data pipelines, ensuring they are scalable, reliable and optimised for performance. Working … supported by a collaborative and forward-thinking environment. •Design & Develop AI-enabled applications and machine learning solutions •Build & Optimise end-to-end ML pipelines and data workflows •Train, Fine-tune & Deploy models, including LLMs and other AI systems •Integrate & Enhance AI capabilities within existing platforms •Deploy & Manage ...

research and practical engineering. You will help transform ambitious research ideas into scalable, robust systems, with projects spanning AI-driven semiconductor design and fundamental machine learning research. Current areas of focus include LLMs, Reinforcement Learning, Generative Models and optimisation techniques for deep learning. The Role … colleagues and contribute to a collaborative environment built around technical excellence, scientific curiosity and practical impact. Key Responsibilities Lead the engineering delivery of complex machine learning and AI research projects. Translate research objectives into robust, scalable technical solutions. Implement and optimise advanced machine learning algorithms. Work ...

Engineering function responsible for designing, building and scaling enterprise-grade AI platforms. This is an exciting opportunity to work on cutting-edge Artificial Intelligence, Machine Learning and Large Language Model (LLM) initiatives, helping to transform innovative AI research into secure, scalable production systems. The role is open … maintain scalable AI data pipelines and processing workflows. Architect cloud-native backend systems and distributed AI services. Collaborate closely with Data Scientists to productionise Machine Learning and NLP models. Develop high-performance RESTful APIs and microservices for AI model serving. Drive system reliability, monitoring, observability and performance optimisation. ...

next generation of recommendation engines, conversational AI experiences and personalisation models for a large-scale digital platform. This is an opportunity to combine machine learning, recommender systems and Generative AI to solve real-world customer problems while delivering measurable commercial impact. The Opportunity You’ll design, build … deploy production-grade machine learning models that power highly personalised customer experiences. From recommendation algorithms and retrieval systems through to LLM-powered conversational AI, you’ll be working on products used by millions of customers every day. This is a highly collaborative role where you’ll partner with ...

data transformation programme. Following significant investment and recent organisational change, there is a genuine appetite to modernise technology, improve data capabilities and scale machine learning across the business. The organisation currently has multiple machine learning models operating in production, but recognises that it’s MLOps capability … role has been created to provide the seniority, technical leadership and real-world experience required to establish best practice, improve operational maturity and ensure machine learning can be delivered reliably at enterprise scale. Key Responsibilities Lead the maturation of the MLOps function and build the capability Establish robust ...

commercial performance and competitive advantage. They are now seeking a Head of Data Science to define and lead the next phase of their ML capability. This is a strategic leadership role focused on building a scalable, high‐impact data science function that consistently delivers measurable business outcomes. This … performance metrics, and positioning machine learning as a long‐term strategic differentiator for the organisation. Skills & Experience Experience operating at scale where ML directly influences commercial performance A track record of building and leading high‐performing data science teams Strong stakeholder management skills, with the ability to influence ...

Purpose of the role To use innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves, leveraging these insights to inform strategic decision-making, improve operational efficiency, and drive innovation across the organisation. Accountabilities Identification, collection, extraction of data from various … quality and suitability for analysis. Development and maintenance of efficient data pipelines for automated data acquisition and processing. Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data. Development and implementation of predictive models to forecast future outcomes and identify ...

Consultant (Consumer AI & Data Science) London Based | £80k - £100k + Bonus + Benefits | Travel Required If you enjoy solving complex commercial problems with AI, machine learning and advanced analytics, this is an opportunity to work on high-impact transformation programmes where your solutions are implemented, measured and scaled. … experienced consultants to have a significant influence on both client delivery and the future direction of the practice. The business invests heavily in learning, development and progression, providing clear pathways for individuals who want to combine technical expertise with consulting and leadership responsibilities. The Role As a Lead Consultant ...

identify high-value use cases across the business. AI Platform & API Engineering: Lead the development of scalable APIs and services to host AI and machine learning capabilities, managing the integration, maintenance and continuous improvement of workloads across Azure. Cross-Functional Delivery: Collaborate closely with Data Analysts, Data Engineers … closely related role, with demonstrable experience delivering production systems. Strong proficiency in Python and Node.js/TypeScript, with experience developing both AI/ML models and backend services. Hands-on experience developing applications using Large Language Models (LLMs), including prompt engineering, structured outputs, tool calling, retrieval-augmented generation ...

identify high-value use cases across the business. AI Platform & API Engineering: Lead the development of scalable APIs and services to host AI and machine learning capabilities, managing the integration, maintenance and continuous improvement of workloads across Azure. Cross-Functional Delivery: Collaborate closely with Data Analysts, Data Engineers … closely related role, with demonstrable experience delivering production systems. Strong proficiency in Python and Node.js/TypeScript, with experience developing both AI/ML models and backend services. Hands-on experience developing applications using Large Language Models (LLMs), including prompt engineering, structured outputs, tool calling, retrieval-augmented generation ...

looking for a talented Senior Algorithms Engineer to join an innovative engineering team developing advanced machine learning and computer vision solutions for complex, real-world applications. This is an exciting opportunity for an experienced engineer to work on challenging perception and intelligence problems, applying techniques across AI, computer … technically challenging projects, influence future development activities, and support the growth of engineering capability through collaboration and mentoring. Key Responsibilities Develop and optimise machine learning and computer vision algorithms for real-world applications. Investigate complex technical challenges, designing experiments and approaches to identify effective solutions. Analyse datasets, model ...

drive the next generation of data-driven decision making across our products, platforms and customer experiences. This role combines advanced analytics, experimentation, machine learning, optimisation, and strategic leadership to solve complex business problems at scale. As a Principal Data Scientist, you will shape product strategy, influence executive decision … behaviour, product performance and business impact. Lead complex experimentation programs, including A/B testing, causal inference, uplift modelling and quasi-experimental methods. Develop machine learning, optimisation and decision science solutions that improve customer experience and operational efficiency. Translate ambiguous business challenges into structured analytical problems and actionable ...

Location London Employment Type Full time Location Type Hybrid Department Research Voleon is a technology company that applies state‐of‐the‐art AI and machine learning techniques … real‐world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion‐dollar asset manager, and we have ambitious goals for the future. Your colleagues will include internationally recognized experts ...