3,176 to 3,200 of 7,725 Machine Learning Jobs in the UK

restricted or highly controlled environments Working closely with engineering, data and AI teams to improve platform reliability and deployment standards Contributing to MLOps and ML deployment patterns where required Providing technical direction across DevSecOps, automation and platform architecture What we're looking for Strong background in DevSecOps, DevOps or Platform … knowledge Experience with cloud and infrastructure automation Exposure to secure, regulated, government, defence or public-sector environments would be highly beneficial Experience with MLOps, ML infrastructure or supporting data science teams would also be useful The hiring team has been clear that they are not expecting somebody to tick every ...

restricted or highly controlled environments Working closely with engineering, data and AI teams to improve platform reliability and deployment standards Contributing to MLOps and ML deployment patterns where required Providing technical direction across DevSecOps, automation and platform architecture What we're looking for Strong background in DevSecOps, DevOps or Platform … knowledge Experience with cloud and infrastructure automation Exposure to secure, regulated, government, defence or public-sector environments would be highly beneficial Experience with MLOps, ML infrastructure or supporting data science teams would also be useful The hiring team has been clear that they are not expecting somebody to tick every ...

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 ...

growth - from credit risk and customer retention to personalised recommendations. You’ll become Raylo’s technical and strategic leader on: The cutting edge of ML and AI model development, applying the very best of what’s possible to Raylo’s hardest problems. Collaborating with teams across the business, to identify … Reporting to the VP of Strategy & Analytics, you’ll define and lead Raylo’s data science function, deploying cutting edge AI and ML to solve Raylo’s hardest problems You’ll own end-to-end design, build and deployment of production-grade machine learning models - from credit risk ...

opportunity? We’re looking for Senior Product Engineers to join the AI Group to build Fin's AI-powered products. Product Engineers working in ML work closely with both our ML Scientists and product teams. They must deeply understand our product, our customers, our ML tech stack and our broader … product stack. Our group 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 focussed team. We work in partnership with Product and Design functions of teams we support. Our team's dedicated Engineers ...

opportunity? We’re looking for Senior Product Engineers to join the AI Group to build Fin's AI-powered products. Product Engineers working in ML work closely with both our ML Scientists and product teams. They must deeply understand our product, our customers, our ML tech stack and our broader … product stack. Our group 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 focussed team. We work in partnership with Product and Design functions of teams we support. Our team's dedicated Engineers enable ...

growth - from credit risk and customer retention to personalised recommendations.You’ll become Raylo’s technical and strategic leader on:The cutting edge of ML and AI model development, applying the very best of what’s possible to Raylo’s hardest problems. Collaborating with teams across the business, to identify high … DoReporting to the VP of Strategy & Analytics, you’ll define and lead Raylo’s data science function, deploying cutting edge AI and ML to solve Raylo’s hardest problemsYou’ll own end-to-end design, build and deployment of production-grade machine learning models - from credit risk ...

commodities trading business? Were seeking Senior Business Analysts who can offer experience of; Working within a Commodities Trading organisation Working on delivering AI, ML or highly advanced data analytics solutions Were seeking the above because as a Senior BA youll be acting as an important bridge between business and technology … capability maps, acceptance criteria and business outcomes. Drive solution alignment across business, product and engineering teams. For context any relevant Data/AI/ML projects experience that aligns well with the below should be highlighted in your CV. Experience delivering AI, Machine Learning or Advanced Analytics solutions. ...

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. Salary: £80K - £85K Location: London | Hybrid … Opportunity You’ll design, build and 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 ...

results clearly — in writing and in conversation — so that research findings translate into product decisions. About You: IMPORTANT: This is not a role for ML engineers who have run training jobs but haven't done research. We need someone who can design experiments, interpret results carefully, and know the difference … between a result that holds and one that doesn't. Research foundation: A PhD in machine learning, artificial intelligence, computer vision, or a related field. Engineering depth: Strong ability to turn research ideas into working, scalable systems — not just notebooks. Experimental rigour: Evaluation design, ablations, error analysis ...

worldwide.The OpportunityThe Data Science team is growing at 9fin! We are doing world-class work with groundbreaking technologies to build data-driven products using machine learning, computer vision, natural language processing, speech and audio, and knowledge/data mining. We are looking for a AI Engineer to accelerate … rankers.Entity/relationship extraction/resolutionKnowledge Graphs; building and inference, graphRAGRecommendation systems and ranking: personalisation, learning-to-rank, feed ranking, user modelling, etc.Tabular ML: feature engineering, structured data modelling (GBDTs, etc.)Statistical & Predictive Modelling: supervised ML, anomaly detection, temporal modelling, etc.Deep understanding of the GenAI landscape and agentic frameworks.Experience ...

Opportunity The Data Science team is growing at 9fin! We are doing world-class work with groundbreaking technologies to build data-driven products using machine learning, computer vision, natural language processing, speech and audio, and knowledge/data mining. We are looking for a AI Engineer to accelerate … extraction/resolution Knowledge Graphs; building and inference, graphRAG Recommendation systems and ranking: personalisation, learning-to-rank, feed ranking, user modelling, etc. Tabular ML: feature engineering, structured data modelling (GBDTs, etc.) Statistical & Predictive Modelling: supervised ML, anomaly detection, temporal modelling, etc. Deep understanding of the GenAI landscape and agentic ...

systems thatprice and trade financial instruments. You’ll workside by side with experienced researchers who arecommitted to teaching, guiding, and supporting ournewest hires, learning how we think aboutexperiment design, dataset generation, time seriesanalysis, feature engineering, and model buildingfor financial datasets. At Jane Street, our researchers, engineers, andtraders … production. We don’t believe in “one-size-fits-all”modelling solutions; we are open to and excitedabout applying all different types of statisticaland ML techniques, from linear models to deeplearning, depending on what best fits a givenproblem. The most successful researchers will bedriven by a curiosity for how their ...

productivity improvements and cost optimisation through intelligent automation Essential Skills for the Artificial Intelligence Architect: Proven experience architecting solutions across Generative AI, Agentic AI, machine learning and automation Strong understanding of prompt engineering, RAG pipelines, model tuning, MLOps and LLMOps Experience delivering enterprise-scale RAG solutions using LLMs … experience with core GenAI frameworks and agent-based AI concepts Strong deployment experience on at least one major cloud platform including AI and ML services Solid software engineering foundation for building scalable, maintainable AI systems Advanced Python expertise with AI and ML frameworks Experience with MLOps and LLMOps tooling including ...

will play a key role in building and deploying advanced machine learning solutions that support pricing and risk decision-making. Responsibilities include: Developing predictive models focused on risk, claims outcomes, fraud detection, and other key business metrics. Creating and maintaining analytical tools that improve portfolio management and commercial … extracting value from new internal and external data sources. Engineering new features and rating factors to enhance existing pricing algorithms. Managing the full machine learning lifecycle, from exploratory analysis through to deployment, monitoring, and model refresh activities. Working closely with Data Scientists, Data Engineers, Analysts, and business stakeholders ...

architecture—across a fast-moving, highly regulated landscape. Going beyond traditional project management, you are a technical enabler who partners directly with engineering and ML teams. You will navigate architectural roadblocks, secure sensitive drug discovery pipelines, and ensure leadership has the data-driven, operational visibility needed to protect a pioneer … debt, and research velocity without stalling innovation.Cross-Functional Influence: Exceptional ability to influence without formal authority, championing security as a core priority across engineering, ML, and business teams.Proactive Problem Solving: You anticipate architectural bottlenecks, untangle cross-team dependencies, and turn complex organisational friction into clear, actionable project plans.Translational Communication: Highly ...

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 (GCP). By partnering with us, clients future-proof their operations, unlock actionable insights, and stay … Engineering, Data Science, Product, C-Suite).Value-Driven Commercial Leader: A track record of identifying business pain points and translating complex technical solutions (e.g., ML platforms, GenAI strategy, Big Data architecture) into clear, compelling business outcomes and financial justifications.Consultative Approach: Exceptional 'listen-first' skills, with the ability to lead ...

clear technical vision and bring people with them AI Assurance, Responsible AI or AI governance Agentic AI or autonomous software engineering approaches AI/ML model validation and testing AI governance frameworks such as ISO/IEC 42001 or regulatory frameworks including the EU AI Act Building technical accelerators, frameworks … Understanding Agile, DevOps, CI/CD Experience Client‐Facing Communication ATS Optimization Keywords Hard Skills Quality Engineering Test Automation Performance Testing AI/ML Model Validation AI Governance Frameworks Agile Methodologies DevOps Practices CI/CD Delivery Models Technical Standards Definition Consultancy Experience Soft Skills Coaching Mentoring Stakeholder Management Influencing ...

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 you'll be doingProvide … science across Claims Fraud, shaping the approach to risk decisioning and fraud detection in partnership with Product and EngineeringDesign, build and iterate on production ML and Generative AI/LLM systems that support claims validation and automationCollaborate closely with other Claims data scientists to bring system-level thinking ...

world's most innovative financial institutions. Your mission is to secure the technical win by demonstrating how Taktile leverages Generative AI and advanced ML to solve complex credit, risk, and fraud challenges. You are a trusted advisor to our customers and help them achieve their strategic goals and realize value … cases that justify significant investment and strategic partnership. You lead the design and execution of proof‐of‐value projects that combine customer data, ML/AI models, and Taktile’s platform to demonstrate strategic ROI. You build technical prototypes and demos leveraging the Taktile platform that simulate production‐grade integrations ...

team with access to cutting‐edge multiomic and interventional datasets, advanced computational infrastructure, and deep interdisciplinary expertise, and a culture that embraces modern ML tooling, including agentic workflows, to accelerate research iteration. You will contribute advanced data analysis and domain expertise to challenge ML models that aim to predict … cohort design through to interpretation, so experiments are analytically tractable and pipelines maximise data value. Contribute to the evaluation framework that determines whether ML models capture meaningful biology: design metrics, held‐out benchmarks, and biological sanity checks. Collaborate closely with ML modellers to develop model architectures. Present findings and methodologies ...

frame the problem, build the solution, and drive it to real commercial impact, working directly alongside customer teams. Apply and adapt frontier ML, forecasting, and optimisation techniques — and increasingly agentic AI — to problems that don’t have a textbook answer. Turn what works on the ground into product direction … what’s possible in applied AI, and bring it back to the team. What you'll bring to the team Strong track record applying ML/data science to real-world commercial problems, ideally with depth in forecasting, optimisation, or supply-chain/pricing. The instinct to own outcomes ...

incremental gains.Team management & cross-functional executionAs a people and execution leader you will:Make things happen — lead a high-performing, cross-functional team of ML engineers and applied scientists working across generative modelling, generation infrastructure and training. Drive quarterly planning and execution in a high-ambiguity environment where the target … success as a Tech Lead Manager at Wayve, we’re looking for the following skills and experience.Essential5+ years of experience in ML engineering or applied research roles, with a track record of training and shipping neural networks — not only operating data platforms.4+ years of people management experience, including direct reports ...

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 ...

architectures to executive boards and governance forums Priority SkillAI We are looking for experience across several of the following skills and experience:AI/ML architectural patterns, best practices, and platform technologies Experience designing AI/ML-driven solutions and data lifecycle management Data solution design, selecting the appropriate cloud … Foundational certifications in AWS and/or GCP Specialist certifications in AWS and/or GCP on data engineering and/or AI/ML (e.g., AWS Certified Machine Learning – Specialty) What’s in it for youAt Accenture in addition to a competitive basic salary, you will also ...