1,126 to 1,150 of 3,258 Machine Learning Jobs in the UK

date as plans and requirements evolve. Technical and data leadership Apply technical judgement to guide product development, especially around AI/ML model integration, data processing, and analytics. Translate complex technical solutions into clear, strategic product decisions. Use behavioural data and analytics as a key input to decisions and prioritisation … research, ensuring cohesive development cycles and smooth delivery. Partner closely with the design team on design and UX, engineering on build and AI/ML, and the research and analysis team on domain expertise, synthesising their input into a coherent product direction. Facilitate cross-team workshops to bring evidence ...

design, and leadership trust the plan. Technical and data judgement Apply technical judgement to guide product development within your areas, especially around AI/ML model integration, data processing, and analytics. Translate complex technical solutions into clear product decisions and communicate the trade-offs to stakeholders. Use behavioural data … areas, ensuring cohesive development cycles and smooth delivery. Partner closely with the design team on design and UX, engineering on build and AI/ML, and the research and analysis team on domain expertise, synthesising their input into coherent product decisions. Facilitate cross-team workshops to bring evidence and expertise ...

continuous improvements across products and services. As a Graduate Technical Engineer : You'll Gain Exposure To Artificial Intelligence (AI) Machine Learning (ML) Natural Language Processing (NLP) SaaS & Cloud Technologies IoT/M2M Solutions Unified Communications & Contact Centre Technologies IT Security & Enterprise Infrastructure You'll also have the opportunity … Hands-on experience with enterprise software and cloud technologies. Mentoring from experienced engineers. Exposure to complex, business-critical systems. A collaborative environment focused on learning, development and long-term career progression. ...

diving into a range of data to solve our highest impact and complex challenges You’ll own and evolve the production ML systems behind our personalization and recommendations serving millions of users You’ll use AI tools as a core part of how you work and help … solving complex and challenging data problems Experience in designing and conducting A/B experiments A proven track record of developing and owning production ML pipelines – including data processing, deployment, monitoring, retraining Demonstrated end‐to‐end ownership of significant ML projects – from framing the problem to shipping it, and through ...

science environment (ideally biotech or applied life sciences). Strong application experience in data science methodologies including signal processing, classical algorithms, and machine learning. Ability to make sense of data within project context and company goals, so that insight can aid further research and projects. Good Python programming skills … awareness to write appropriate tests. Excellent communication skills with the ability to talk to non-technical and non-scientific stakeholders. Any exposure to training ML models (neural networks) would be desirable. This role would predominately be based at offices in Cambridge (although some flexibility for hybrid working would be possible ...

highly data fluent and confident self serve users Enhancing our world class data platform Creating data products across all domains Transforming our business with ML & AI You will be joining our AI and Machine Learning team (within our Data team), taking a pivotal role in building the platform … development, deployment, and management of AI applications and agents across the business. Architect, build, maintain cloud-based infrastructure for hosting and serving AI (ML and GenAI) models and applications. Develop and design tooling and frameworks to standardise AI development, implement systems for central discovery, monitoring, and governance of AI agents ...

experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. Preferred qualifications: PhD in Computer Science, Machine Learning, or equivalent practical experience, or publications at venues (e.g., NeurIPS, ICLR, ICML, or EMNLP). Experience with cybersecurity detection and response, building classifiers … scalable production systems. Experience in adversarial machine learning, automated red-teaming, or model interpretability and probes. Experience collaborating on or leading applied ML projects, including LLM training, inference, and fine-tuning. Experience using AI coding agents with strong architectural judgment and with TPUs and JAX. Knowledge ...

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 ...

Marshmallow’s most important customer touchpoints, and we’re looking for a Principal Data Scientist who can provide technical leadership across traditional ML and Generative AI, bring system-level thinking to how we scale decisioning, and confidently challenge proposals to ensure we build robust, sustainable solutions. What … across Claims Fraud, shaping the approach to risk decisioning and fraud detection in partnership with Product and Engineering Design, build and iterate on production ML and Generative AI/LLM systems that support claims validation and automation Collaborate closely with other Claims data scientists to bring system-level thinking ...

Marshmallow's most important customer touchpoints, and we're looking for a Staff Data Scientist who can provide technical leadership across traditional ML and Generative AI, bring system-level thinking to how we scale decisioning, and confidently challenge proposals to ensure we build robust, sustainable solutions. What … across Claims Fraud, shaping the approach to risk decisioning and fraud detection in partnership with Product and Engineering Design, build and iterate on production ML and Generative AI/LLM systems that support claims validation and automation Collaborate closely with other Claims data scientists to bring system-level thinking ...

building and leading a team that builds production systems handling unstructured clinical text, structured knowledge (ontologies and graphs), and generative AI. Dyad has a learning and teaching culture and the candidate for the role should be as comfortable coming up with accessible explanations … stakeholders and sharing knowledge with team members as they are digging into technical questions. This role spans a number of disciplines within the ML, NLP, and AI disciplines and is not just another LLM-wrapper position. If your experience is solely around using LLMs within the AI space, this role ...

engineering, and commercial stakeholders across the business. This is a hands-on mid-level Data Scientist role focused on developing and deploying customer-focused machine learning models. Projects include: Customer segmentation Customer Lifetime Value (CLTV) modelling Demand forecasting Propensity modelling Targeted promotions and campaign optimisation Data Science initiatives … models A practical and commercially minded approach to Data Science Nice to have: Cloud exposure (GCP or Azure) Experience with Vertex AI or Azure ML THE BENEFITS Up to £50,000 HOW TO APPLY Please register your interest by sending your CV to Adam Osborne at Harnham via the Apply ...

About the Role Checkout.com is looking for an experienced Senior Data Scientist to lead advanced optimisation projects and champion the development of robust, sustainable ML architectures. You will be responsible for the enhancing payment flow through data and ML services, advancing the complex problem of multi-objective optimisation. You will … deploying recommender systems, contextual bandits, or network intelligence applications. Experience in fintech, payments or similar domains. Experience with Docker, AWS/GCP, and modern ML deployment practices. Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers ...

This is an opportunity to join a fast-growing, product-led technology business that is investing heavily in Data, AI and Machine Learning. Working within a highly collaborative data function, you'll help build data-driven products and machine learning solutions that directly influence customer experience, product … product teams to maximise business impact. The Role • Build and develop recommendation and personalisation models • Develop AI-powered products and customer-facing features • Apply machine learning techniques to solve complex business problems • Support experimentation through modelling, statistical testing and evaluation • Conduct feature engineering and feature analysis to improve ...

Quantitative Researcher - Must be willing to relocate to the Bahamas* Bahamas | Proprietary Trading | Python/C++ | Machine Learning | Systematic Trading As a Quantitative Researcher, you'll be responsible for researching, developing and implementing systematic trading strategies across global financial markets. You'll work alongside experienced researchers, software engineers … traders, leveraging large datasets, statistical modelling and machine learning techniques to identify new sources of alpha. This is a highly collaborative environment where ideas are tested rigorously and successful research moves quickly into production. Responsibilities • Research and develop systematic trading strategies across global markets. • Analyse large financial ...

narratives. Take an insight‐led approach to bring industry best practices in data and AI to shape and guide clients’ strategic transformations. Architect data, ML, and GenAI solutions on Google Cloud. Own scoping, estimation, and writing of Statements of Work and RFP responses in collaboration with Sales and Delivery. Support … Enable Sales and Delivery teams on industry trends, discovery patterns, and Datatonic accelerators. What You Bring 7–12 years of experience in data, analytics, ML, or cloud engineering/architecture, including in large scale digital/data/AI transformations, with at least 3 years in a pre‐sales ...

production fraud detection models. Working within our Fraud Intelligence team, you'll analyse large-scale datasets, identify new behavioural signals and optimise machine learning models to improve fraud detection accuracy while reducing false positives. This is a highly practical role suited to someone who enjoys working with complex … data and delivering measurable improvements to live production models. You'll work closely with Machine Learning Engineers and Product teams to continually enhance the intelligence powering our fraud prevention platform. Responsibilities Analyse large-scale fraud and transaction datasets. Engineer new features to improve fraud detection performance. Optimise production ...

Pricing function where advanced analytics sits at the heart of commercial decision-making. You'll work on complex insurance pricing challenges, build innovative machine learning models, and help shape the next generation of risk and customer pricing strategies. With significant investment in data, technology and analytics, this role … Data Science team plays a critical role in driving pricing performance, customer outcomes and strategic growth. Having invested heavily in data, cloud infrastructure and machine learning, they provide an environment where experimentation, innovation and continuous improvement are actively encouraged. The Role As a Senior Data Scientist, you will ...

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 ...

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 ...

Data gathering and analysis Model implementation and back testing for systematic global equities strategies Explore, analyze, and harness large financial datasets using various statistical learning techniques. Work with multiple vendor data sets: assessing, cleaning, creating features. Implement flexible, scalable and efficient machine learning framework using existing features. … Create new features using additional database (KDB preferred). Preferred Technical Skills Proficient in modern data science tools stacks (Jupyter, pandas, numpy, sklearn) with machine learning experience. Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or related STEM field from top ranked University. Expert ...

cutting-edge software at scale for both customer infrastructure and public cloud environments. With a strong heritage of innovation and expertise in Data Science, Machine Learning, Agile Software Development, Security Assurance, and Cryptographic Technologies, we help organisations overcome complex data challenges and drive digital transformation. What Will … Doing? As a Data Science Lead, you will be at the forefront of technically leading diverse teams across machine learning, cloud, data engineering, DevOps, and software engineering. You will: Lead customer engagements and manage stakeholder relationships Contribute to and prepare technical bids and proposals Collaborate with Delivery Management ...

scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Minimum Qualifications Bachelor … degree in Computer Science, or a related technical field, or equivalent practical experience. 2 years of experience with software engineering involving Python-based ML/scientific libraries such as JAX or internship experience in these areas or Open Source Software (OSS) contributions. 1 year of experience with machine learning. ...

faster, and more reliable testing and release processes for one of our latest product engineering teams. You will work closely with Software and Machine Learning Engineers to establish the quality foundations for a product characterised by dynamic, non-deterministic outputs. The team is a newly formed multidisciplinary team … explain technical concepts, testing risks, design choices, and trade-offs. Strong collaboration skills and a pragmatic approach to working with Product, Engineering, and ML colleagues. Good judgement in prioritising quality work based on risk, user impact, and delivery goals. Bonus/Nice to have Experience with AI security and safety ...

discipline frontend, backend, mobile, and quality. You will report to the VP of Engineering. You bring deep technical knowledge and a strong appetite for learning especially around agentic AI and how it is reshaping the way software is built. Your hands‐on coding focuses on the engineering organisation itself … both. Practical experience integrating, evaluating, or productionising machine learning systems not necessarily as a researcher, but as someone who has shipped ML‐powered features. Active, current hands‐on experience with agentic development tools: Claude Code, Cursor, Codex, or equivalent used as a daily part of your own engineering ...