1,051 to 1,075 of 2,566 Machine Learning Jobs in London

market data, asset and wealth management domains to drive business value- Design scalable and secure solutions leveraging AWS services and emerging technologies (AI/ML, HPC)- Collaborate with sales teams to develop and execute customer engagement strategies- Create technical content and reference architectures for capital markets use cases- Influence ...

applied data science with measurable GTM impact - you've shipped models or tools that moved metrics like conversion, cycle time, or retention. LLM/ML application experience - familiarity with RAG, prompt and tool design, vector search, evals and have leveraged AI for development. Excellent SQL skills and fluency in Python ...

technical engine of our Innovation team, working directly with highly regulated clients to help them transform their operations using advanced AI/ML technologies. You will be an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers. Unlike traditional advisory roles, you will ...

layersStrong prioritisation and roadmap planning skillsProduct-focused mindset with understanding of user behaviour (Traders, Analysts) and UX/HCI principlesAwareness of AI/ML concepts and their application to large datasets (desirable)#MIDSENIOR #LI-SQ1 #LQMWhat You Can Expect from UsAt ISS STOXX, our people are our driving force. ...

tradecraft and frameworks: MITRE ATT&CK, MITRE Engage, MITRE D3FEND, and the cyber kill chainExperience leveraging Agentic AI, Microsoft Security Copilot, or AI/ML in security operations (detection, hunting, IR, automation).Proven experience designing and operating enterprise cyber deception programmes (honeypots, honeytokens, decoy users, decoy devices, breadcrumbs) at scale. ...

across the organisation, mentoring and uplifting QA capability globally. Key Skills and Competencies Strong understanding of the testing and quality challenges of non-deterministic, ML/LLM-based, and agentic systems, including evaluation, guardrails, and the regression of model-driven behaviour. Proven experience defining and implementing QA strategy ...

Controls, or SABSA. Holds or is working towards CISSP, CISM, CCSP, or equivalent. GenAI security: experience assessing and mitigating risks in AI/ML solution architectures, including data exposure, prompt injection, model supply chain, and output integrity. Additional InformationWhy Version 1? At Version 1, we believe in providing our employees ...

Cloud hosting providers such as AWS, Azure, GCP, Vercel & Netlify Cross‐platform AI experience across AWS, Microsoft Azure, Google (e.g. Bedrock, AgentCore, Vertex, Azure ML etc.) Advanced Python programming AI frameworks such as AutoGen, Langflow, Tensorflow Knowledge of Infrastructure as Code, CI/CD Use of Middleware and RESTful ...

complex concepts clearly and concisely to diverse audiences. Technical Acumen: Familiarity with relevant technologies and platforms impacting FX markets (e.g., APIs, blockchain, AI/ML, cloud computing).Leadership: Ability to lead cross-functional teams, influence stakeholders, and drive consensus. Results-Oriented: A proactive and driven individual with a strong commitment ...

line-of-business stakeholders. Orchestrate proof-of-value and POCs that validate Lakebase's benefits for OLTP-style workloads, reverse ETL, and AI/ML-driven applications, in partnership with solution architects and specialists. Compete and win against legacy and cloud-native operational databases by leveraging our compete assets, benchmarks ...

oversight. Excellent communication and stakeholder-management skills, including the ability to align senior leaders around urgent, high-stakes decisions. Direct experience applying AI/ML to prevent, prevent, detect and mitigate harm, plus AI fluency — you can build a feature with AI – not just write PRDs. Why Join ...

line-of-business stakeholders. Orchestrate proof-of-value and POCs that validate Lakebase's benefits for OLTP-style workloads, reverse ETL, and AI/ML-driven applications, in partnership with solution architects and specialists. Compete and win against legacy and cloud-native operational databases by leveraging our compete assets, benchmarks ...

across the full transformation lifecycle: Migrate (infrastructure landing and workload mobility) Modernise application refactoring, containerisation, serverless adoption) Activate Data (analytics, lake formation, AI/ML readiness) Deploy Applications (GenAI, agentic workloads, intelligent automation)Your role is to find, build, and close deals across this lifecycle, always starting from the customer ...

improving scalability, robustness, and latency. Optimise databases and index performance where it is the constraint on product behaviour. Working with analysts, product, and the ML team Work directly with the analysts who use our products, turning what they hit in practice into changes in the system. Iterate quickly against ...

Senior Specialist Solutions Architect (AI/ML) London, United Kingdom Mission As a Senior Specialist Solutions Architect (ML & AI), you will serve as the trusted technical ML and AI expert for Databricks customers and the Field Engineering organization. You will partner with Solution Architects to guide enterprise and strategic customers … architecting production‐grade ML and AI applications on the Databricks Data Intelligence Platform. You will also continue to sharpen your technical expertise in cutting‐edge areas like GenAI, ML, MLOps, and LLMOps, while mentoring colleagues and establishing yourself as an AI thought leader. Impact you will have Architecting Workloads: Design ...

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 ...

Prima is seeking a Senior Machine Learning Engineer to help shape the future of motor insurance. You will lead ML lifecycle practices, influence technology choices, and ensure production readiness of ML-driven features across Prima’s microservices landscape. You will work with a large engineering team, advancing cloud … native ML tooling, and mentoring others while keeping a strong focus on code quality, design patterns, and robust delivery. #J-18808-Ljbffr ...

experience in Partner Management, Technical Account Management, Solutions Architecture, or Professional Services within a cloud computing environment. Experience leading, coordinating, or architecting AI/ML technical transformations. Experience of the GenAI stack, cloud infrastructure constraints, and machine learning life-cycles. Preferred qualifications: Master's degree in Computer Science ...

experience in Partner Management, Technical Account Management, Solutions Architecture, or Professional Services within a cloud computing environment. Experience leading, coordinating, or architecting AI/ML technical transformations. Experience of the GenAI stack, cloud infrastructure constraints, and machine learning life-cycles. Preferred qualifications: Master's degree in Computer Science ...

leading electric vehicle manufacturer in Greater London seeks a Staff Software Engineer specializing in machine learning infrastructure. The ideal candidate will optimize deep learning performance on NVIDIA GPU systems and manage large-scale model training. Applicants should possess a PhD in Computer Science or equivalent experience … have substantial knowledge in PyTorch and deep learning frameworks. This role contributes directly to safety-critical self-driving technologies for innovative vehicles. #J-18808-Ljbffr ...

what we offer. Job DescriptionAbout the role: Wise moves billions across borders every year. Behind every transaction is a decision: is this safe? Our ML systems make that call - at scale, in real time, across every market we operate in. Our Risk ML team is building the next generation … learning, graph neural networks, and foundation models to detect increasingly sophisticated fraud and money laundering patterns. We're looking for a Staff Applied ML Engineer to lead this evolution: defining the architecture strategy, shipping production neural models, and building the blueprint that scales across FinCrime domains. This ...

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 ...

Senior Machine Learning Engineer to work on AI, NLP, and data visualization projects for major clients. The role focuses on applying ML techniques within a fast-growing analytics environment, contributing to innovative solutions. The position requires a strong STEM background and hands-on experience with ML algorithms ...

refactoring, and performance optimization to contribute to advanced AI research and evaluation projects . You'll apply your software engineering expertise to create Reinforcement Learning (RL) environments that test AI models on complex software engineering workflows. Tasks may involve debugging, feature implementation, code refactoring, performance optimization, and working with … Model Context Protocol (MCP) tools. No prior AI experience is required — your technical expertise is what matters. Responsibilities Design and develop Reinforcement Learning environments that evaluate AI models on realistic software engineering workflows. Create tasks involving bug fixing, feature implementation, codebase refactoring, and performance optimization . Develop reproducible environments ...

refactoring, and performance optimization to contribute to advanced AI research and evaluation projects . You'll apply your software engineering expertise to create Reinforcement Learning (RL) environments that test AI models on complex software engineering workflows. Tasks may involve debugging, feature implementation, code refactoring, performance optimization, and working with … Model Context Protocol (MCP) tools. No prior AI experience is required — your technical expertise is what matters. Responsibilities Design and develop Reinforcement Learning environments that evaluate AI models on realistic software engineering workflows. Create tasks involving bug fixing, feature implementation, codebase refactoring, and performance optimization . Develop reproducible environments ...