51 to 75 of 122 Artificial Intelligence Engineering Jobs in London

team and define what the future of AI looks like on Databricks You will: Engage in multi-disciplinary teams to deliver complex AI, Engineering and Data & Analytics cases on the Databricks platform, becoming a trusted advisor to our clients from data owners and analytic users to C-level …/or Spark SQL and ability to work across structured, semi-structured and unstructured data OR 5+ years ML Engineering or AI Engineering deploying, promoting and serving ML models, building feature stores, building RAG chatbot or other AI systems Hands on, working, knowledge of Databricks ...

Staff ML Engineer | Agentic AI | ML Engineering | London (3 days per week on-site) | Contract | Inside IR35 We're supporting a global technology-driven organisation that's scaling enterprise AI across its UK engineering function. Rather than building AI capability from scratch, the organisation has already … ready AI solutions using common patterns and best practice. This is a Staff Engineer position where you'll shape the technical direction of AI Engineering across the organisation. You'll be responsible for Defining engineering standards for enterprise AI Driving adoption of Agentic AI across multiple ...

impact AI-powered video tools in a fast-paced environment. With a hands-on approach, you will collaborate closely with founders and lead AI engineering projects. The ideal candidate should have over 5 years of experience in Applied AI, strong Python skills, and previous exposure to AI systems. ...

Overview The Applied Innovation (of AI) Engineering team is an elite machine learning group strategically located within the Chief Data Analytics Office (CDAO) Technology group of JPMorgan Chase. AI Engineering tackles business critical priorities using innovative machine learning techniques and technologies with a focus on machine … learning for Software, Cybersecurity and Technology Infrastructure. The team partners closely with all lines of business and engineering teams across the firm to execute long-term projects in these areas that require significant machine learning development to support JPMorgan Chase businesses as they grow. Responsibilities Collaborates with engineers ...

cloud-native platform infrastructure that powers production-grade conversational and generative AI products at scale. The role This is a platform and infrastructure engineering role - not a data science or ML engineering position. You'll own the runtime, infrastructure, and operational layers that RAG pipelines … evaluation workflows run on, across AWS and Databricks. The focus is on building scalable, observable, secure, and cost-efficient platform infrastructure that enables AI engineering teams to ship and operate AI products reliably in production. What you'll do Design, build, and operate cloud-native AI platform infrastructure ...

+ Benefits, Training & Bonus Package Full Time Permanent Deerfoot Recruitment is supporting a leading global consultancy in the search for an AI Engineering Consultant/Senior Consultant to join its growing Data & AI practice click apply for full job details ...

move pilots to production with clear accountability, in a hybrid delivery model. Key responsibilities include defining AI strategy, establishing governance, building the AI engineering and MLOps operating model, scaling pilots into #J-18808-Ljbffr ...

governance, and business stakeholders. Navigating complex and ambiguous problem spaces to identify practical AI opportunities. Providing technical leadership, guidance, and mentoring within the AI engineering function. Contributing to the wider AI strategy and future direction of the capability. Your Skills & Experience Strong commercial experience delivering GenAI solutions into … software engineering fundamentals and experience building scalable applications. Experience making architecture and technology decisions within enterprise organisations. Strong knowledge of modern AI engineering practices, including LLMs, RAG, agentic workflows, and MLOps concepts. Experience working with cloud platforms, ideally AWS. Ability to balance innovation with risk, governance ...

/progression for the Data Science department. On top of your responsibilities as Head of Data Science, you will also work closely with AI Engineering based teams as they and you explore possibilities within that sector. If this Head of Data Science role appeals to you, we want ...

## AI Engineering LeadApplylocations: Londontime type: Full timeposted on: Posted Yesterdayjob requisition id: R5422The TP ICAP Group is a world leading provider of market infrastructure.Our purpose is to provide clients with access to global financial and commodities markets, improving price discovery, liquidity, and distribution of data, through responsible … York — to establish the operating model for embedded AI delivery on the broking desks.The AI Solutions Group is a small, business-literate engineering team that sits alongside the brokers and embeds AI capability directly into the broking workflow — from the first client conversation through research, execution and booking. ...

define architectural principles and strategic direction. As a senior technical leader in AI, you will foster a culture of innovation, continuous learning and engineering excellence both within Kainos and across the wider industry. You will lead, mentor, and develop a community of data scientists, AI engineers, and technical … assuring advanced AI/ML models, including time series, supervised/unsupervised learning, reinforcement learning, LLMs and agentic AI. Experience with the latest AI engineering approaches such as prompt engineering, retrieval-augmented generation (RAG) and orchestration of agentic AI systems. Expertise in data engineering ...

Staff AI Engineer at Sainsbury's Tech in London combines hands-on AI engineering with cross-domain impact across the division. You will set standards, build reusable AI patterns, and drive AI capabilities across Customer, Channels, and Data platforms. This role involves proving concepts, pairing with delivery teams ...

strategy, architect an enterprise-grade AI platform, and lead production AI delivery across highly regulated domains. You will also build a high-performing AI engineering organization with governance and strategic partnerships. The role reports to the Head of COO Technology and demands executive collaboration across operations, risk, cyber ...

environments. You will lead discovery, define objectives, and guide customers to tailor AI capabilities for real operational impact. You will work closely with AI, Engineering, and Sales teams, owning onboarding, risk management, and governance to ensure scalable, compliant deployments that deliver measurable value. #J-18808-Ljbffr ...

Location: London (Hybrid) Type: Full-time The Opportunity We're looking for an experienced Senior Software Engineer to join a collaborative, high-performing engineering team developing market-leading SaaS products used to analyse and visualise some of the world's largest financial datasets. This is an opportunity … solutions across both single-tenant and multi-tenant architectures. Collaborate closely with Product to translate complex business requirements into robust technical solutions. Leverage AI engineering tools, coding assistants and automated workflows to improve productivity and code quality. Contribute to AWS cloud infrastructure, monitoring and operational excellence using services ...

Head of AI Engineering Location: London|Hybrid Salary: £180,000 - £200,000 I'm working with an AI engineering consultancy delivering some of the most exciting enterprise AI programmes in the UK. They're looking for a Head of AI Engineering to build … lead their AI Engineering capability, partnering with enterprise customers to design, deploy and scale production AI systems. This is a unique opportunity to join at a pivotal stage of growth. Rather than inheriting an established function, you'll build an AI Engineering organisation from the ground ...

lead document automation, workflow automation and AI-enabled solutions engineer within Equity Derivatives Technology, as part of a globally distributed team. Combines strong engineering fundamentals, distributed systems experience and practical generative AI to deliver business value through iterative development. Morgan Stanleys market leading institutional equity derivatives business … power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Principal Software Engineering] position at VP level, which is part of the job family responsible for developing and maintaining software solutions that support business needs. What will ...

secure, scalable, cloud‐hosted AI solutions suitable for a regulated reinsurance environment.The role combines hands‐on AI and full‐stack development with strong engineering judgement, ensuring alignment with PL Re engineering standards, enterprise architecture, and security controls. A key focus is maintaining awareness of emerging AI … accessing platforms, data products, or external services.Collaboration & Knowledge SharingWork alongside the Global Experience Analysis (Global EA) engineering team, sharing cloud and AI engineering insights, patterns, and lessons learned.Act as a bridge between Business & AI experimentation and wider PL Re technology capabilities to accelerate AI adoption consistently ...

channels. You will oversee product, UI, service design, research and creative technology, shaping responsible AI by design and partnering with Data/AI, Engineering, Risk and Legal to deliver trusted experiences at scale. You will lead a global design team, evolve operations and governance, and drive measurable outcomes ...

help shape how AI is designed, built, and deployed across the organisation. You'll work at the intersection of machine learning, software engineering, and real-world business challenges-developing intelligent, scalable solutions that drive efficiency and innovation across our operations. Working closely with enterprise architecture and technical leadership … and audit standards Champion scalable, secure, and efficient AI implementation. What We're Looking For Core Skills & Experience Strong experience in AI Engineering, ML/LLM applications, or intelligent automation Solid Java engineering background with production-quality coding practices Experience with CI/ ...

will design and evolve systems supporting millions of customers across multiple countries, currencies and platforms. Working hands-on alongside the Principal Architect and engineering teams, you will set technical direction, improve resilience and maintain a high quality bar across the domain. Advanced use of large language models … with the ability to influence both technical and non-technical stakeholders. The ability to work autonomously within a collaborative Agile delivery environment. Advanced AI engineering experience This requirement will be assessed directly during the recruitment process. We are particularly interested in candidates who can demonstrate: Repositories in which ...

Cyber, Data Protection and Legal, covering model risk, data privacy, transparency, human in the loop and auditing.* Build the target operating model for AI engineering and MLOps, including model lifecycle management, monitoring, incident response, versioning and cost/performance optimisation.* Set global standards for AI platforms, toolchains … reference architectures and integration patterns through to production rollout and adoption.* Proven delivery of AI/ML and GenAI solutions in production, including document intelligence, NLP, search/summary, recommendation, decision support and workflow automation.* Strong grasp of responsible AI, security and compliance, including model risk management, privacy, data ...

Cyber, Data Protection and Legal, covering model risk, data privacy, transparency, human in the loop and auditing. Build the target operating model for AI engineering and MLOps, including model lifecycle management, monitoring, incident response, versioning and cost/performance optimisation. Set global standards for AI platforms, toolchains … reference architectures and integration patterns through to production rollout and adoption. Proven delivery of AI/ML and GenAI solutions in production, including document intelligence, NLP, search/summary, recommendation, decision support and workflow automation. Strong grasp of responsible AI, security and compliance, including model risk management, privacy, data ...

Software Engineering Manager (Backend SaaS) Canonical · London Licensed sponsor London On-Site Likely to sponsor About the role Canonical is a leading provider of open source software and operating systems … global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company ...

/QC), ensuring solutions are fit for purpose, secure, low risk, and cost‐efficient amid consumption‐based AI pricing. Define and embed AI engineering standards, reference architectures, and reusable patterns, collaborating with infrastructure teams to govern shadow AI usage. Lead AI literacy and enablement across Digital … wider business. Mentor and uplift the Automation Practice team to diffuse AI capability and support transition to a permanent in‐house AI Engineering Manager. Represent the Automation & AI Practice in cross‐functional forums, translating AI strategy into delivery roadmaps and measurable outcomes. Skills & Experience Required Deep, hands ...