176 to 200 of 288 Machine Learning Jobs in Central London

experience with agentic/LLM-powered products, tool use, evals, guardrails ✅ Bonus: API integrations (MCP, webhooks, OAuth) + cloud deployment (AWS) Direct AI/ML experience isn't a hard requirement — strong product engineering judgment matters more. 📩 DM me or drop your CV/GitHub/portfolio — happy to share ...

proficiency in writing production-grade Python or C++ code for training, evaluating, and deploying robotic policies, particularly on custom hardware platforms. Fluency with modern ML toolchains (PyTorch/JAX, RL or behaviour-cloning libraries, agentic frameworks, MCP, distributed training workflows). Track record of leading cross-functional design reviews ...

initial 6 month contract. This is an urgent role and will move quickly for the successful candidate. Must haves: Proven experience analysing AI/ML systems and architectures from a security lens using established frameworks like OWASP Top 10 for LLMs, NIST AI RMF, or MITRE ATLAS. Demonstrated expertise ...

initial 6 month contract. This is an urgent role and will move quickly for the successful candidate. Must haves: Proven experience analysing AI/ML systems and architectures from a security lens using established frameworks like OWASP Top 10 for LLMs, NIST AI RMF, or MITRE ATLAS. Demonstrated expertise ...

developing scalable Python services, API architecture, and large-scale data integrations that enable AI products across the organisation. This is not an AI/ML management role. Instead, you'll be responsible for building the engineering foundations that make AI initiatives possible, leading a team responsible for creating the platforms ...

Life, Health, and P&C insurance. Drive adoption of AI and automation for efficiency and risk reduction. Lead digital initiatives using data, analytics, and ML models. Collaborate with internal teams to deliver measurable business outcomes. Qualifications: Bachelor s degree in Business, Technology, or a related field; MBA preferred. ...

Life, Health, and P&C insurance. Drive adoption of AI and automation for efficiency and risk reduction. Lead digital initiatives using data, analytics, and ML models. Collaborate with internal teams to deliver measurable business outcomes. Qualifications: Bachelor s degree in Business, Technology, or a related field; MBA preferred. ...

business transformation. This includes: Core Google Cloud Platform (GCP) Solutions Google Cloud Platform (GCP) – compute, networking, serverless, containers Vertex AI, GenAI, AI/ML Platforms – advanced AI solutions and managed services BigQuery & Data Analytics – data warehouses, analytics pipelines Anthos, Kubernetes & Cloud Infrastructure modernisation Security, governance, and compliance tooling Integration with … Google Workspace and collaboration platforms Searce Services You’ll Represent Cloud modernisation & migration consulting Data & analytics implementation Applied AI & machine learning solutions Full-stack engineering and product delivery Future of work transformation using collaboration platforms Managed cloud services & ongoing optimisation You will engage CxOs and enterprise stakeholders ...

business transformation. This includes: Core Google Cloud Platform (GCP) Solutions Google Cloud Platform (GCP) – compute, networking, serverless, containers Vertex AI, GenAI, AI/ML Platforms – advanced AI solutions and managed services BigQuery & Data Analytics – data warehouses, analytics pipelines Anthos, Kubernetes & Cloud Infrastructure modernisation Security, governance, and compliance tooling Integration with … Google Workspace and collaboration platforms Searce Services You’ll Represent Cloud modernisation & migration consulting Data & analytics implementation Applied AI & machine learning solutions Full-stack engineering and product delivery Future of work transformation using collaboration platforms Managed cloud services & ongoing optimisation You will engage CxOs and enterprise stakeholders ...

features perform consistently in production while handling the complexities of multi-step reasoning, tool integrations and long-running workflows. Working closely with product and machine learning engineers, you'll help transform cutting-edge AI capabilities into production-grade services used across multiple applications. What You'll Be Doing … infrastructure. • Build resilient systems capable of handling unpredictable model behaviour and external dependencies. • Develop robust observability through logging, tracing and debugging. • Collaborate with ML and Product teams to deliver reliable APIs and production-ready AI services. You'll likely have experience with some of the following: • Strong backend engineering experience ...

features perform consistently in production while handling the complexities of multi-step reasoning, tool integrations and long-running workflows. Working closely with product and machine learning engineers, you'll help transform cutting-edge AI capabilities into production-grade services used across multiple applications. What You'll Be Doing … infrastructure. • Build resilient systems capable of handling unpredictable model behaviour and external dependencies. • Develop robust observability through logging, tracing and debugging. • Collaborate with ML and Product teams to deliver reliable APIs and production-ready AI services. You'll likely have experience with some of the following: • Strong backend engineering experience ...

Jira, Linear, Notion, or similar. Excellent stakeholder management skills with the ability to communicate technical concepts to non-technical audiences. Good understanding of AI, machine learning, or data engineering delivery lifecycles. Key Skills Technical programme delivery Agile project management Risk and dependency management Stakeholder engagement Roadmap and milestone ...

Jira, Linear, Notion, or similar. Excellent stakeholder management skills with the ability to communicate technical concepts to non-technical audiences. Good understanding of AI, machine learning, or data engineering delivery lifecycles. Key Skills Technical programme delivery Agile project management Risk and dependency management Stakeholder engagement Roadmap and milestone ...

salary: £65,000 - £90,000 dependant on location and experience Technical stack: Azure AI solutions, including Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning Requirements Extensive experience with Azure AI solutions, programming experience (Python, C#, or Java) Your role will focus on:- Design and implement security ...

technical stakeholders, and executive t eams.Drive programme governance, planning, risk management, dependency tracking, and executive repor ting.Coordinate delivery across Data Engineering, Data Analytics, AI, Machine Learning, and Cloud t eams.Translate technical delivery into measurable business outcomes for cli ents.Manage programme roadmaps, budgets, timelines, and stakeholder expectat ions.Identify opportunities ...

technical stakeholders, and executive t eams.Drive programme governance, planning, risk management, dependency tracking, and executive repor ting.Coordinate delivery across Data Engineering, Data Analytics, AI, Machine Learning, and Cloud t eams.Translate technical delivery into measurable business outcomes for cli ents.Manage programme roadmaps, budgets, timelines, and stakeholder expectat ions.Identify opportunities ...

client is a fast-growing data and media technology business using advanced analytics to power smarter campaign strategy and execution. By combining audience insight, machine learning, and media activation, they help brands and agencies unlock more effective, data-driven outcomes. The Opportunity • Step into a senior, technical role ...

client is a fast-growing data and media technology business using advanced analytics to power smarter campaign strategy and execution. By combining audience insight, machine learning, and media activation, they help brands and agencies unlock more effective, data-driven outcomes. The Opportunity • Step into a senior, technical role ...

interact effectively with people at all organizational levels of the firm Display a strong understanding and experience with emerging technologies, including generative artificial intelligence, machine learning, natural language processing, and their practical applications in a legal or corporate environment Possess a comprehensive knowledge of relevant AI and privacy ...

with experience selling into UK/EU markets. Excellent consultative selling, communication, and stakeholder management skills. Understanding of AI technologies (e.g., generative AI, machine learning, NLP, automation) is an added advantage. Application Process Before applying, please ensure you meet the role requirements listed above and have legal authorization ...

with experience selling into UK/EU markets. Excellent consultative selling, communication, and stakeholder management skills. Understanding of AI technologies (e.g., generative AI, machine learning, NLP, automation) is an added advantage. Application Process Before applying, please ensure you meet the role requirements listed above and have legal authorization ...

most trusted sports data to some of the world's biggest organizations, across sports, media, and broadcasting. Through the latest AI technologies and machine learning, we combine decades' worth of data with the latest in-game happenings. We then offer coaches, teams, professional bodies, and media channels around ...

Antenna Materials Power Semiconductor Devices – including GaN and SiC Materials 5. Emerging & Priority Fields Biomedicine: Cell Therapy, Molecular Immunology, Biopharmaceuticals, Drug Development Artificial Intelligence: Machine Learning, Computer Vision, Intelligent Manufacturing Sustainability: Carbon Neutrality, Environmental Engineering, Green Resources 6. Key Responsibilities Conduct independent and/or collaborative scientific research ...

experimentation methodology for generative AI, with a focus on correctness, faithfulness, and robustness. Demonstrable experience owning the technical design and delivery of complex AI, ML, or data-driven systems in live production environments. A background operating at senior engineer or technical lead level - comfortable balancing rapid experimentation with disciplined production ...

ct.Experience applying iterative development to deliver high-value outcomes in complex domai ns.Exposure to data-driven or analytical systems; experience with AI/ML-related features is beneficial but not requir ed.Familiarity with CI/CD, observability, and operating production syste ms.Understanding of front-office or revenue-generating technology ...