426 to 450 of 532 Machine Learning Jobs in London

operational AI, is adopted, governed, and scaled across the organisation. You'll create and lead a high-impact AI function that brings together existing ML, AI Ops, and emerging AI capabilities under a clear, unified strategy. This role is about vision, influence, and enterprise-wide impact. You'll work closely ...

workshops and validate risk positions and remediation plans Drive risk-based decisions and escalate material risks to leadership Identify emerging risks, including AI/ML-related threats Reporting & Insight Deliver clear, concise reporting to senior stakeholders and ExCo Define and track KPIs/KRIs to measure programme effectiveness Highlight control ...

primary stack, but we'll happily hire someone excellent in Go, Kotlin, Python or similar) Experience scaling systems to high user volumes Exposure to ML/AI systems in production Healthcare or regulated-industry experience Why this might be the right move Genuine equity in a product with real upside ...

contributions are valued with a focus on achievable improvements that get used every day. We’ll Count on You To: Design and build ML/AI solutions (classical ML + modern deep learning/LLM approaches) aligned to product outcomes. Demonstrate proficiency in full-stack technologies for enterprise-scale … Have: 7+ years of experience designing and developing distributed application architecture of moderate-to-high complexity. 5+ years in software engineering or applied ML building real-world AI/ML systems; strong Python proficiency and backend development expertise Hands-on experience building GenAI apps with LangChain and LangGraph, including agent ...

client pitch contribution, client hosting at events. Internal Contribution – Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development. Learning & Development – Training to support your career development and the skills demand within the company, certifications etc. Your Profile You will have demonstrable experience across … operation with knowledge of Supply Chain Resilience, Planning and demand Forecasting– including experience with current tools and technologies such as A.I., RPA and Machine Learning CIPS or similar Desired Experience: Currently working in a major Consulting firm, and/or in industry but having a Consulting background Proven ...

tech companywants to hear from you. Our clients mission is to help subscription businesses drive customer growth and predict revenue more accurately using machine learning and AI. Their platform empowers businesses to improve customer loyalty and unlock greater revenue from existing customers. Recently listed in Sifteds … health insurance quality care when you need it most Monthly wellness allowance use it on gym memberships, yoga, mental health, healthy food & more Annual learning & development budget invest in your growth Hybrid working 3 days in the office, 2 days where it suits you Top-tier equipment everything ...

years, placing 4 people with them, and all 4 are still with the company. Our client is a rapidly growing AI and Machine Learning company, specialising in the research, development and deployment of ad... WKCL1_UKTJ ...

Lead level Collaborate within a multidisciplinary data team to deliver high-impact solutions Your Skills and Experience Strong commercial experience in AI or machine learning engineering Proven experience working with multimodal data such as text, audio, or video Experience building and deploying AI models into production environments Familiarity ...

Experience: The incumbent should have 1012+ years of experience in IT services sales in the European market , with at least 5+ years selling AI, ML, and data-led solutions . Exposure to the EMEA region is highly desirab... WKCL1_UKTJ ...

mobile platforms./p p The ideal candidate has a strong software engineering foundation, a passion for design, and experience in AI/ML or startup environments. Compensation will be equity-based./p #J-18808-Ljbffr ...

Experience: The incumbent should have 1012+ years of experience in IT services sales in the European market , with at least 5+ years selling AI, ML, and data-led solutions . Exposure xkybehq to the EMEA region is highly desirab Please click on the apply button to read the full ...

with TypeScript, Node.js, React (experience with Next.js would be a bonus) Comfortable across the stack, but frontend-leaning Interest or experience in AI/ML and agentic systems If you’re a Senior Fullstack Engineer (React/Node) looking for a new challenge, please apply. ...

wider business Owning and maintaining the Information Security policy framework (standards, life cycle, exceptions) Identifying and managing emerging risks, including AI/ML-related threats Running & presenting at risk committees at the C-suite level What you'll bring Strong experience in Information Security GRC, particularly in the internal Risk ...

case has been created, ensuring efficiency and a positive outcome. Actively reviewing opportunities to automate cases that are raised to operations, utilising rules and ML based techniques. Working closely with a cross-functional team of engineers, data analysts, data scientists, operations specialists, and compliance to develop and execute an overall ...

development Exposure to tooling such as Terraform, APIs, or CI/CD pipelines (desirable) Experience working in Business Intelligence/analytics environments AI/ML Exposure (Essential) Candidates must demonstrate practical exposure to AI/ML, such as: Working with cloud-based AI services (e.g. AWS Bedrock or similar) Supporting … enabled data products or workflows Understanding generative AI concepts, including prompt engineering Exposure to ML pipelines or collaboration with Data Science teams (This does not need to be a core specialism but must be clearly evidenced.) Experience Required Typically 4-8+ years' experience in data engineering/BI roles ...

client pitch contribution, client hosting at events. Internal Contribution – Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development. Learning & Development – Training to support your career development and the skills demand within the company, certifications etc. Your Profile Our ideal candidate will bring … other similar. Experience in working within the fields of Data Science and Analytics, with a proven track record of successfully delivered work across the ML lifecycle. Experience with Large Language Models architectures and techniques: AI-agents, GraphRAGs, fine-tuning, semantic grounding. A desire to provide solutions to the real-world ...

maintaining developer-facing platforms, SDKs, or internal tools Comfortable articulating technical architecture, vision, and strategy to both technical and non-technical audiences AI/ML & Ecosystem Knowledge Hands-on experience with LLMs, agentic frameworks, and GenAI tooling (models, APIs, orchestration platforms) Practical experience with RAG architectures, prompt engineering, fine-tuning … advocacy Deeply committed to enabling others and multiplying team impact across 500+ engineers Pragmatic - prefers safely shipping good solutions now over perfect solutions later Learning-oriented - actively seeks to deepen AI knowledge while staying grounded in engineering fundamentals Accountability - takes responsibility for platform reliability, team adoption, and driving measurable ...

Solution Architects through to senior technical leadership. What you'll be doing Designing AI and GenAI architecture strategies and roadmaps Building scalable AI/ML and Agentic AI platforms Working across LLMs, RAG, embeddings and semantic search Supporting AI deployment, governance and integration patterns Collaborating with engineering, data, DevOps … frameworks Vector databases and semantic search MLOps and LLMOps AWS, Azure, GCP, Databricks Containerisation, Kubernetes and GPU infrastructure Requirements Experience designing enterprise AI or ML architectures Strong understanding of cloud and modern data platforms Exposure to scalable AI deployment and integration patterns Financial Services or regulated industry experience essential Strong ...

integration architecture, covering API management, event-driven patterns (Kafka, EventBridge), messaging (JMS, MQ), ETL/ELT pipelines, microservices and service mesh topologies. Champion AI, ML and agentic automation opportunities within the trading technology estate including intelligent scheduling, anomaly detection, automated P&L attribution, predictive maintenance and agentic workflow orchestration (e.g. … migration planning. Working knowledge of Foundry (Palantir) or equivalent analytical platforms for downstream data consumption, operational analytics and decision support. Experience architecting AI/ML and agentic automation solutions within trading technology estates, including LLM integration, RAG patterns, intelligent scheduling and predictive analytics. Familiarity with Agile/SAFe delivery frameworks ...

BCBS 239 ✅ Data Classification ✅ Data Stewardship ✅ Data Ownership ✅ Data Retention Policies ✅ Master Data Management (MDM) Tools: Apache Atlas Collibra Snowflake Horizon Catalog AI/ML & Analytics ✅ Feature Stores ✅ ML Pipelines ✅ AI/ML Data Architecture ✅ Snowflake Cortex AI ✅ Vector Databases ✅ LLM Data Pipelines ✅ AI-Powered Data Cataloguing Data Transformation … quality rules and SLAs. Manage lineage and metadata. Support regulatory compliance requirements. AI & Analytics Design data products for reporting and analytics. Build foundations for ML and AI workloads. Support feature stores and LLM use cases. Stakeholder Management Work with Engineering, Risk, Finance, Operations, and Product teams. Mentor engineers and developers. ...

data in real-time, the structuring, storage and processing of that data for insight, to the usage of the data in event driven applications, ML and AI. As a Senior Manager Architect in Data you will be an experienced technical leader bringing business, industry and deep technical understanding to shape … specific expertise in Distributed Data Processing architectures (Spark, PySpark, Python, Airflow), ELT data processing underpinning Data LakeHouses and Data Products for scaled use within ML & AI Expertise in Streaming Data, Event Driven Design, Data Governance & the AWS Cloud Technology stack (e.g. Glue, ServerLess, DynamoDB) A track record in leading ...

robust and explosive DataOps business. Series C funded (raised over $60m this year ). They have built a product that leans into blending machine learning models and data annotation to help businesses save time and money! What You’ll Get This is a key hire ...

vision, strategy and roadmap for Orchestration. This requires: Defining the multi-year vision for our orchestration infrastructure to move from static rules to dynamic, machine-learning routing - and working with your engineers and analysts to deliver this vision. Ensuring our payments are fully optimised to be routed between ...

deployed agentic systems to ensure optimal performance and continuous learning. Stay abreast of the latest advancements in Agentic AI, Large Language Models (LLMs), reinforcement learning, and autonomous systems, integrating relevant innovations. Champion best practices for AI ethics, governance, and responsible deployment, ensuring solutions are transparent, fair, and secure. Requirements … tolerant AI solutions on major cloud platforms (AWS, Azure, GCP). Strong proficiency in programming languages such as Python, with experience in AI/ML frameworks (e.g., TensorFlow, PyTorch, LangChain, LlamaIndex). Solid understanding of distributed systems, microservices architectures, containerization (Docker, Kubernetes), and MLOps principles. Demonstrated ability to architect solutions ...

driven initiatives. * This role will suit someone with a strong foundation in AWS data engineering and BI, alongside practical exposure to AI/ML concepts or tools. * Design, build and optimise data pipelines and data platform components within AWS * Support and enhance Business Intelligence reporting and analytics capabilities * Contribute … services (e.g. AWS Bedrock or similar) * Supporting AI-enabled data products or workflows * Understanding of generative AI/prompt engineering concepts * Exposure to ML pipelines or collaborating with Data Science teams * Typically 4-8+ years' experience in data engineering/BI roles * Proven experience delivering AWS-based data solutions ...