2,476 to 2,500 of 2,755 Machine Learning Jobs in London

integration and data architecture Shape data strategy including domain models, governance and interoperability Find opportunities for optimisation, automation and advanced analytics including AI/ML Partner with senior stakeholders to align technology direction with business strategy Lead architecture governance and represent the domain in decision forums Essential Experience and Requirements … regulatory/compliance-driven environments Exposure to optimisation or advanced analytics platforms Experience with enterprise data platforms and data products Practical experience applying AI, ML or GenAI in trading or supply chain contexts Why Join Us? At BP, we support our people to grow in a diverse and exciting environment. ...

you. Tune for performance: optimise networking (VLANs, firewalls, VPNs, and low‐latency/high‐bandwidth fabrics) and storage for the throughput and latency that ML and hardware workloads require. Own reliability and observability: implement monitoring, alerting, and capacity planning, and drive availability and performance across hybrid cloud and on‐prem … ability to diagnose and resolve complex, cross‐layer issues in a fast‐moving environment. A collaborative communicator who can work with hardware and ML engineers and explain infrastructure trade‐offs clearly. Bachelor's degree in computer science, a related field, or equivalent practical experience. Compensation & Equity Competitive Salary: Commensurate with ...

Software team at CoMind spans the full stack of a regulated medical device company — from embedded and real-time systems through application software, ML inference, GUI, DevOps, and test engineering. It is a team that builds across every layer, working to medical device software standards and shipping software that … data acquisition systems or real‐time signal processing pipelines Familiarity with optical or biomedical hardware integration Background in or exposure to data science or ML pipelines and the software interfaces that feed them Experience with CI/CD tooling, automated testing frameworks, and static analysis tools in an embedded context ...

decisioning under real-world latency. A single verification decision fans out to 10+ internal services and external vendors (registry lookups, sanctions, PEP, document verification, ML models). Sagas, idempotency, timeouts, and graceful degradation all matter — because \"we couldn't reach the sanctions provider\" isn't an acceptable customer experience. Consistency … policy; a customer's risk profile shifts. How do we re-decide retroactively across millions of customers without stampeding downstream systems or ops queues? ML/AI in the loop — safely. Where does automation genuinely help (document classification, risk scoring, agent copilots), where does ...

organisations. Data Architecture and Delivery Assurance Leading or assuring the design of complex data and AI solutions that span data integration, analytics, AI/ML and interoperability. Acting as a Lead Data Architect within delivery programmes, responsible for the technical design, data model development, metadata and governance practices. Providing technical … ability to operate confidently with C-level and Director-level stakeholders. Broad technology understanding, including modern data platforms, data integration, analytics, AI/ML, data governance and cloud technologies. Highly proficient in at least three mainstream data technologies and aware of wider data technology trends. Experience working across the full ...

healthcare organisations. Data Architecture and Delivery AssuranceLeading or assuring the design of complex data and AI solutions that span data integration, analytics, AI/ML and interoperability. Acting as a Lead Data Architect within delivery programmes, responsible for the technical design, data model development, metadata and governance practices. Providing technical … ability to operate confidently with C-level and Director-level stakeholders. Broad technology understanding, including modern data platforms, data integration, analytics, AI/ML, data governance and cloud technologies. Highly proficient in at least three mainstream data technologies and aware of wider data technology trends. Experience working across the full ...

.NET Developer, C# 14 - Financial Consultancy - London (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, .NET MAUI, ML.NET, Azure AI, GitHub Copilot, Docker, Kubernetes, .NET Aspire, CI/CD, HTML Living Standard, CSS ...

Accenture seeks a Senior AI/ML Computational Scientist to design, build, and operationalize AI/ML solutions for enterprise clients. You will combine custom models with cloud services to deliver production-ready outcomes across the full solution lifecycle. You will work on Deep Learning, Generative AI, and LLMs ...

## Senior ML EngineerApplylocations: GBR-London-5 Canada Square: IND-Hyderabad-CapitaLandtime type: Full timeposted on: Posted Todayjob requisition id: R0120978Corporate Engineering AI (CE AI) TeamThe Corporate Engineering AI team is the central enablement and platform delivery function for LSEG’s internal agentic AI ecosystem. The team’s mission ...

This major international organisation is seeking an AI/ML Security Architect to support the secure adoption of Generative and Agentic AI across their complex enterprise environment. As AI/ML Security Architect, you’ll provide security architecture and design authority across AI/ML initiatives, working closely with engineering ...

telecoms industry, is looking to hire a Senior Devops/Infrastructure Engineer to join their growing team. You will work closely with Backend and ML/AI engineers to deploy and maintain dev/staging environments, work on ML/AI pipelines, and deploy ML models. Also, you will design ...

J.P. Morgan is seeking an Applied AI ML Lead for the LLM Suite Engineering to design and deliver production-grade AI/ML and agentic solutions that integrate with existing systems. You will own technical direction across architecture, implementation, and operational stability with a strong focus on secure software. ...

to state-of-the-art problems across quantitative research and monetization. You will lead open-ended projects from concept to production, collaborating with ML, statistics, and engineering teams. The role requires 5+ years of DL experience, a PhD or MSc in CS/Math, Python and/or C++ ...

waste logistics. You’ll build models that forecast demand, personalise recommendations, and power in-store analytics. Join a fast-moving team building production-grade ML solutions, from data prep to monitoring. Candidates should demonstrate 5+ years in ML/AI, strong Python, PyTorch, and hands-on work with LLMs ...

Biopharma Careers seeks a Senior Cloud Engineer, ML Platforms in London to design, implement and operate AWS-based infrastructure enabling ML initiatives. You will work with researchers, ML engineers and platform teams to ensure secure, scalable environments supporting the full ML lifecycle. As part of Boehringer Ingelheim AI Accelerator … maintain cloud capabilities behind AI/ML initiatives, enabling scalable model training, deployment and production operations with strong security and #J-18808-Ljbffr ...

fast-moving field and bring the best of it into the work. What we’re looking for 5+ years in ML/AI engineering with models shipped to production. Strong Python and the modern ML stack (PyTorch, scikit-learn, etc.). Hands‐on experience with LLMs, embeddings, and retrieval‐augmented ...

across diverse enterprise and government use cases. We build the infrastructure and tooling that power agentic AI in production, paired with applied ML research, design, and evaluation to ensure these systems perform reliably at the scale our customers demand. AIS spans multiple workstreams — agent evaluation and oversight, orchestration and tool … evaluation choices that determine whether that context is actually useful. This role suits someone comfortable moving between distributed systems engineering and applied ML, because the team is built the same way, with software engineers and ML engineers working the same roadmap rather than two separate tracks. What you'll doOwn ...

JPMorgan Chase & Co. in London seeks an AI/ML Software Engineer to deliver end-to-end AI/ML projects within an Agile lifecycle. You will translate business needs into technical specs and milestones while producing secure, production-grade code and scalable algorithms. You will craft architecture artifacts, develop ...

Full Stack Data Scientist to join our Data & Analytics team in a hybrid working model. You will own end-to-end data science and ML initiatives, shaping targeting and content strategies to improve user experiences across markets. You will partner with product, eng, and analytics to translate business needs into … scalable solutions. You should have deep Python/SQL, dbt, and production ML experience, with a track record of turning complex data into actionable insights. #J-18808-Ljbffr ...

Google London, UK is seeking a Data Scientist in Research, Reliability Analytics to design statistical and ML tools that improve the reliability of our Google Cloud Platform infrastructure. You will collaborate with the Platform Reliability Engineering team, engineering and product partners, and mentor junior colleagues while building robust data pipelines ...

Data Scientist/Senior Data Scientist/Solution Engineer for a 12-month contract based in Waterloo. The role focuses on deploying industrial-grade ML-enabled applications across key sectors for an Enterprise AI client. The candidate should have a mix of data science and software engineering skills, including Python ...

apply statistics and causal inference to drive product decisions. The role involves building scalable data pipelines, mentoring teammates, and safely integrating AI/ML solutions at production scale. London-based with in-office presence required. #J-18808-Ljbffr ...

today, with a strong emphasis on defining the future product and platform experience, patterns, and contribution pathways that will enable federated scale over time. ML Engineers – Responsibilities & SkillsResponsibilities* Design and build MCP servers and tools that expose enterprise systems and workflows to AI agents.* Implement Skills that orchestrate tools, data ...

design reviews, and knowledge sharing, helping to raise the overall technical bar across the team and adjacent teams. Safely integrate and operate AI/ML‐enabled solutions that improve outcomes, including familiarity with AI‐driven systems, tools, or workflows and applying AI/ML concepts to real world products … using data and metrics to guide technical decisions and continuous improvement. Familiarity with AI‐driven systems, tools, or workflows and applying AI/ML concepts to real world products, including safely integrating and operating AI/ML‐enabled solutions that improve customer or business outcomes. Experience serving as a technical ...

design reviews, and knowledge sharing, helping to raise the overall technical bar across the team and adjacent teams. Safely integrate and operate AI/ML‐enabled solutions that improve outcomes, including familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products … using data and metrics to guide technical decisions and continuous improvement. Familiarity with AI‐driven systems, tools, or workflows and applying AI/ML concepts to real world products, including safely integrating and operating AI/ML‐enabled solutions that improve customer or business outcomes. Experience serving as a technical ...