276 to 300 of 1,831 Artificial Intelligence Jobs in London

will earn a competitive package: Salary to £150k + bonus (c20-25%) Pension and Private Healthcare Hybrid working (x3 days in London office) Impactful role working on cutting edge AI technology Excellent career growth opportunities Apply now to find out more about this Senior Full Stack Engineer/Developer (React .Net Python) opportunity. At Client Server we believe in a More ❯

Up to £160,000 About the Company We’re working with a next-generation private markets firm that is redefining value creation by combining deep industry expertise with advanced AI and data science. This is a unique opportunity to join a company that partners directly with portfolio companies to drive measurable operational and financial performance—powered by data. They’re More ❯

Up to £160,000 About the Company We’re working with a next-generation private markets firm that is redefining value creation by combining deep industry expertise with advanced AI and data science. This is a unique opportunity to join a company that partners directly with portfolio companies to drive measurable operational and financial performance—powered by data. They’re More ❯

Up to £135,000 About the Company We’re working with a next-generation private markets firm that is redefining value creation by combining deep industry expertise with advanced AI and data science. This is a unique opportunity to join a company that partners directly with portfolio companies to drive measurable operational and financial performance—powered by data. They’re More ❯

Up to £135,000 About the Company We’re working with a next-generation private markets firm that is redefining value creation by combining deep industry expertise with advanced AI and data science. This is a unique opportunity to join a company that partners directly with portfolio companies to drive measurable operational and financial performance—powered by data. They’re More ❯

experience Experience with asynchronous programming (e.g., asyncio, Celery). Exposure to message brokers like RabbitMQ, Kafka. Understanding of GraphQL, gRPC, or WebSockets. Previous experience in architecting data-intensive or AI/ML-based systems. Certifications in cloud technologies or architecture (AWS/Azure Architect, TOGAF, etc.). Opportunities & Application This is an excellent opportunity on a great project of work. More ❯

and deploy technologies like edge computing, data historians, and cloud IoT platforms. Ensure compliance with IEC 62443, ISO 27001, and other industry regulations. Support deployment of manufacturing analytics and AI-based solutions. Maintain high-quality documentation and facilitate knowledge transfer across teams. Travel required: approx. 30%. About You Certifications in TOGAF, AWS Solution Architect, ISA-95, or IEC More ❯

growth, while still being hands on with technology. We aim to allow growth without becoming “post-technical”. Responsibilities: Collaborate with Data Scientists and Engineers to deliver production quality AI and Machine Learning systems Build frameworks and supporting tooling for data ingestion from a complex variety of sources Consult with our clients on data strategy, modernising their data infrastructure, architecture More ❯

growth, while still being hands on with technology. We aim to allow growth without becoming “post-technical”. Responsibilities: Collaborate with Data Scientists and Engineers to deliver production quality AI and Machine Learning systems Build frameworks and supporting tooling for data ingestion from a complex variety of sources Consult with our clients on data strategy, modernising their data infrastructure, architecture More ❯

growth, while still being hands on with technology. We aim to allow growth without becoming “post-technical”. Responsibilities: Collaborate with Data Scientists and Engineers to deliver production quality AI and Machine Learning systems Build frameworks and supporting tooling for data ingestion from a complex variety of sources Consult with our clients on data strategy, modernising their data infrastructure, architecture More ❯

growth, while still being hands on with technology. We aim to allow growth without becoming “post-technical”. Responsibilities: Collaborate with Data Scientists and Engineers to deliver production quality AI and Machine Learning systems Build frameworks and supporting tooling for data ingestion from a complex variety of sources Consult with our clients on data strategy, modernising their data infrastructure, architecture More ❯

version-controlled, and integrated with automated deployment pipelines.Enhance efficiency of data processing across both scheduled and real-time operations.Implement systems for tracking data lineage, tagging, and operational logging.Advanced Analytics & AI Readiness Prepare structured datasets to support predictive modeling and other intelligent applications.Empower business users with reliable, self-service data assets.Partner with analytics teams to transition prototypes into scalable solutions.Data Governance More ❯

healthcare, insurance, travel, telecom, and retail/CPG industries. It accelerates experience-led transformation in the delivery of digital platforms using technologies such as cloud, microservices, automation, IoT, and artificial intelligence. Infogain is a multi-cloud expert across hyperscale cloud providers – Microsoft Azure, Google Cloud Platform and Amazon Web Services. Infogain, an Apax Funds portfolio company, has offices in More ❯

healthcare, insurance, travel, telecom, and retail/CPG industries. It accelerates experience-led transformation in the delivery of digital platforms using technologies such as cloud, microservices, automation, IoT, and artificial intelligence. Infogain is a multi-cloud expert across hyperscale cloud providers – Microsoft Azure, Google Cloud Platform and Amazon Web Services. Infogain, an Apax Funds portfolio company, has offices in More ❯

healthcare, insurance, travel, telecom, and retail/CPG industries. It accelerates experience-led transformation in the delivery of digital platforms using technologies such as cloud, microservices, automation, IoT, and artificial intelligence. Infogain is a multi-cloud expert across hyperscale cloud providers – Microsoft Azure, Google Cloud Platform and Amazon Web Services. Infogain, an Apax Funds portfolio company, has offices in More ❯

healthcare, insurance, travel, telecom, and retail/CPG industries. It accelerates experience-led transformation in the delivery of digital platforms using technologies such as cloud, microservices, automation, IoT, and artificial intelligence. Infogain is a multi-cloud expert across hyperscale cloud providers – Microsoft Azure, Google Cloud Platform and Amazon Web Services. Infogain, an Apax Funds portfolio company, has offices in More ❯

a cloud-first platform with an open API architecture, leveraging structured data to transform how accountants work. Our mission is simple: to enhance and support the accountancy profession through AI and automation, ensuring accountants remain relevant and respected in the future of finance. In 2023, Silverfin became part of the Visma Group, joining one of Europe's leading providers of More ❯

schemas to support new features and improve system efficiency. Craft performant SQL queries, stored procedures, and triggers to support mission-critical features and ensure application responsiveness. Comfortable working with AI-powered tools (e.g., GitHub Copilot, Cursor, code generation, test automation, etc.) to accelerate development and enhance productivity. Deliver high-quality technical documentation that helps others build, maintain, and extend your More ❯

JMAN Group is a fast-growing data engineering & data science consultancy. We work primarily with Private Equity Funds and their Portfolio Companies to create commercial value using Data & Artificial Intelligence. In addition, we also work with growth businesses, large corporates, multinationals, and charities. We are headquartered in London with Offices in New York and Chennai. Our team of 400+ More ❯

HCLTech is a global technology company, home to more than 220,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom More ❯

HCLTech is a global technology company, home to more than 220,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom More ❯

HCLTech is a global technology company, home to more than 220,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom More ❯

hands-on approach. Deep knowledge of product management practices, including discovery, experimentation, release management, and continuous delivery. Experience with product analytics platforms, research frameworks, and insights management. Exposure to AI-first product development or data-led automation is desirable. Excellent stakeholder management skills, able to communicate complex ideas with clarity to both technical and non-technical audiences. Comfortable working in More ❯

hands-on approach. Deep knowledge of product management practices, including discovery, experimentation, release management, and continuous delivery. Experience with product analytics platforms, research frameworks, and insights management. Exposure to AI-first product development or data-led automation is desirable. Excellent stakeholder management skills, able to communicate complex ideas with clarity to both technical and non-technical audiences. Comfortable working in More ❯

hands-on approach. Deep knowledge of product management practices, including discovery, experimentation, release management, and continuous delivery. Experience with product analytics platforms, research frameworks, and insights management. Exposure to AI-first product development or data-led automation is desirable. Excellent stakeholder management skills, able to communicate complex ideas with clarity to both technical and non-technical audiences. Comfortable working in More ❯