126 to 150 of 420 Artificial Intelligence Engineering Jobs in London

Ensure full adherence to Citi's internal policies, risk and control frameworks, model risk management (MRM) standards, and applicable regulatory requirements**Building the AI Engineering Organization*** Build, structure, and lead a high-performing AI engineering function aligned to COO's operational priorities — including team topology, operating … AI/ML, or related field preferred**What success looks like:**In the first year, we expect the successful candidate to:* **Establish the AI engineering team and operating model** — hire and structure a high-performing team with clear roles, responsibilities, and a strong culture* **Deliver 3+ production-grade ...

evaluation data, model accuracy rates, and error trends into strategic recommendations for business leaders.Lead Cross-Functional AI Improvements: Partner closely with Data Science, AI Engineering, Product, and CX teams to turn QA findings into prompt refinements, model fine-tuning, and updated knowledge base inputs.Maintain Release Momentum: Track project … logs, leverage analytics tools, and turn quality metrics into clear, executive-ready presentations and dashboards.Cross-Functional Collaboration: Exceptional track record of bridging technical AI engineering teams with business stakeholders and front-line traveler support operations.Domain Empathy: Deep interest in online travel, traveler behavior, and maintaining high trust across ...

establishing standards, practices, and expertise within your squad. You will act as a "player-coach," directly contributing to squad work while cultivating engineering talent. By integrating solution architecture expertise with a focus on talent development, you will lead the creation and delivery of impactful GenAI products, enabling transformative … mind.GenAI & System ThinkingDrive adoption and experimentation with large language models (LLMs), working closely with product and research teams.Prioritize efficiencies by using AI engineering tools within your team.Identify and articulate system-level tradeoffs, risks, and opportunities in AI-enabled architectures.Stay current with AI and software engineering trends ...

Senior Engineering Manager - Data & AI - London (Hybrid) - Azure – Databricks - Microsoft Fabric - Power Platform - Up to £115,000 We're partnering with a leading retail organisation that is investing heavily in Data, AI and digital transformation as part of an ambitious long-term technology strategy. With millions of customers … Azure, Databricks, Microsoft Fabric, Power Apps, Power Automate, SharePoint, Azure DevOps, and AI-driven solutions The Role Lead and develop high-performing Data & AI engineering teams Act as a senior technical authority across Azure-based data and analytics platforms Drive the evolution of enterprise-scale data architecture ...

CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com. What You’ll Do: The Physical AI Engineering Team at CoreWeave is responsible for building and scaling the core platform that powers the world’s most advanced engineering simulation and AI … next generation of agentic applications and physical AI, this team delivers the performant, reliable, and scalable foundation trusted by the world’s largest engineering companies. About the role: We’re seeking a Senior Software Engineer to help build and scale our platform as we meet growing demand from ...

establishing standards, practices, and expertise within your squad. You will act as a "player-coach," directly contributing to squad work while cultivating engineering talent. By integrating solution architecture expertise with a focus on talent development, you will lead the creation and delivery of impactful GenAI products, enabling transformative … GenAI & System Thinking Drive adoption and experimentation with large language models (LLMs), working closely with product and research teams. Prioritize efficiencies by using AI engineering tools within your team. Identify and articulate system-level tradeoffs, risks, and opportunities in AI-enabled architectures. Stay current with AI and software ...

built a central AI function twelve months ago. It's now 15 strong across Data Science, Data Engineering, Product and AI Engineering, and growing!Squad model: DS, DE, Product and AI Engineering form around a problem and own the product end to end. … Live Python and problem-solving, then a deep dive on your wider skill set.In person - culture and commercial fit with the Head of AI Engineering and Director of AI.The WhyNew function, so expect ambiguity and pace. Greenfield problems, short paths to production, visible impact .Working inside a large ...

built a central AI function twelve months ago. It's now 15 strong across Data Science, Data Engineering, Product and AI Engineering, and growing! Squad model: DS, DE, Product and AI Engineering form around a problem and own the product end to end. … Python and problem-solving, then a deep dive on your wider skill set. In person - culture and commercial fit with the Head of AI Engineering and Director of AI. The Why New function, so expect ambiguity and pace. Greenfield problems, short paths to production, visible impact .Working inside ...

hone existing skills and learn new ones As a Software Engineer - Lead, you will be responsible for seeding and growing the AI Engineering function within GCG technology. You will partner with business partners, and AI engineers to turn ambiguous problems into working AI solutions that improve our Client … operate as a player-coach, not a distant manager, working at the intersection of AI, software, and data. This is a hands-on engineering role for someone who is as comfortable in a working session with a business team as they are building a retrieval pipeline or hardening ...

J.P. Morgan is seeking a Principal Software Engineer within the Applied Innovation (of AI) Engineering team in the CDAO Technology Group. You will design, develop, deploy, and maintain advanced AI products, collaborating with software engineers, data engineers, and data scientists to deliver trusted solutions. You will contribute ...

comprising a couple of dozen engineers. You'll lead a talented, multidisciplinary group tackling some of the most consequential technology challenges in global financial intelligence — maintaining and evolving the systems that analysts and clients depend on today, while simultaneously building the next generation of platforms from a position … , Machine Learning, or a related technical field — or equivalent expertise demonstrated through impact What Would Make You Stand Out An ML or AI engineering background — if you've spent meaningful time building machine learning systems, training models, designing intelligent pipelines, or architecting AI-native applications, that depth ...

required by AI applications• Working extensively across Microsoft technologies including Copilot Studio, Power Platform, Azure and Microsoft 365• Establishing reusable architectural patterns and engineering standards• Considering security, governance, performance, resilience, data residency and cost throughout solution design• Providing technical direction and mentorship to engineers• Supporting client conversations, technical … activity• Presenting complex technical concepts credibly to both technical and non-technical stakeholdersAbout YouI’m interested in speaking with people from Solution Architecture, AI Engineering, Solutions Engineering, Forward Deployed Engineering or technical consulting backgrounds.You’ll ideally bring strong experience across several of the following ...

more value with greater quality and speed. This is a highly hands-on role. We are looking for someone who actively uses modern AI engineering tools every day and has practical experience delivering real software using agentic workflows. Responsibilities AI Engineering Enablement Lead the adoption … communication and presentation abilities. Comfortable working across multiple teams and disciplines. AI and Agentic Engineering Extensive hands-on experience with modern AI engineering tools such as Claude Code, Codex, Gemini, Cursor, Windsurf or equivalent. Experience designing and implementing agentic workflows into software delivery processes. Deep understanding ...

Responsibilities Lead the design and delivery of AI-enabled digital products, platforms, and services Provide technical leadership to front-end, back-end, and AI engineering teams Define and implement solution architecture, engineering standards, and best practices Drive the integration of Generative AI, LLMs, and machine learning … Support technical governance, architecture reviews, and delivery planning activities Essential Skills & Experience Significant experience in a Lead Engineer, Principal Engineer, Technical Lead, or AI Engineering Lead position Proven experience delivering AI-enabled products and services in complex enterprise environments Strong software engineering background across modern front ...

based decisioning logic — incorporating CLV and long-term customer value into prioritisation, not just short-term conversion Measurement frameworks and optimisation Define feature engineering requirements — knowing which signals, triggers, and contextual features drive predictive power in decisioning Architect real-time decisioning solutions integrating with CRM, CDP, and data … problem, starts building, ships, improves Experimental mindset — runs fast tests, learns from failure, iterates without ego Strong execution and delivery orientation Advanced AI engineering and Generative AI expertise Collaborative team player Curiosity and commitment to continuous learning #J-18808-Ljbffr ...

based decisioning logic — incorporating CLV and long-term customer value into prioritisation, not just short-term conversion Measurement frameworks and optimisation Define feature engineering requirements — knowing which signals, triggers, and contextual features drive predictive power in decisioning Architect real-time decisioning solutions integrating with CRM, CDP, and data … problem, starts building, ships, improves Experimental mindset — runs fast tests, learns from failure, iterates without ego Strong execution and delivery orientation Advanced AI engineering and Generative AI expertise Collaborative team player Curiosity and commitment to continuous learning About Accenture Accenture is a leading global professional services company that ...

variable regional requirements in the implementation of centralized enterprise assets. * Deep specialist knowledge of generative AI, agentic systems, model-provider ecosystems and enterprise AI engineering patterns, with the ability to apply that expertise across related technology disciplines. * Practical experience designing, building and deploying AI agents using enterprise AI … models via APIs, including tool use, governed data access and emerging interoperability patterns such as the Model Context Protocol. * Strong understanding of generative AI engineering fundamentals, including: o Prompt engineering and context design. o Context engineering, retrieval-augmented generation (RAG), embeddings and vector search. ...

reliability of deployed applications.Lead the architecture and development of new products and features from 0 to 1.Minimum qualifications:Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.8 years of software development experience, including system design, data structures … passionate machine learning engineering leader with a drive to build innovative products and a desire to work at the forefront of AI.Artificial intelligence will be one of humanity’s most transformative inventions. At DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing ...

CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com. What You’ll Do: The Physical AI Engineering Team at CoreWeave is responsible for building and scaling the core platform that powers the world’s most advanced engineering simulation and AI … next generation of agentic applications and physical AI, this team delivers the performant, reliable, and scalable foundation trusted by the world’s largest engineering companies. About the role: We’re seeking a Staff Software Engineer to help drive the architectural evolution of our platform as we scale ...

workflows, and develop containerised model services that integrate directly into the OneView platform. This includes hands-on work with model architectures, feature engineering, model optimisation, performance debugging, schema-aligned data preparation, and ML-driven interfaces. This is a role for engineers who want to build real models, ship … validate cohort logic to ensure accuracy, interpretability and alignment with client needs. Troubleshoot and resolve complex modelling and pipeline issues throughout delivery. AI engineering Build and integrate LLM based components including embedding pipelines, RAG workflows and text analysis models. Develop and deploy agentic and multicomponent AI systems using ...

technical expertise, helping clients design, modernise and scale data and AI platforms that deliver meaningful business outcomes. Working closely with senior stakeholders, engineering teams and business leaders, you'll play a key role in shaping data strategies, modern cloud architectures and next-generation AI capabilities. The Role … enterprise platforms. Advise clients on data strategy, platform architecture, governance, security and AI adoption. Drive best practices across data engineering, analytics, AI engineering and platform operations. Lead delivery teams and provide architectural guidance across complex transformation programmes. Implement robust data governance, security and compliance frameworks within ...

ensure production AI solutions remain stable, performant, compliant, and aligned to evolving business needs. This role acts as the central coordination point between AI engineering, Data Science & AI Delivery, Data Engineering, BTS, business stakeholders, and governance teams to ensure AI solutions continue to deliver measurable value … resolution of production issues affecting AI solutions. Manage defect remediation activities and oversee the delivery of code fixes through internal and partner engineering teams. Act as the primary point of coordination during major incidents impacting AI services. Ensure issues are identified, triaged, prioritised, communicated, and resolved effectively. Support ...

deliver AI-powered features in a regulated, customer-facing environment. This role offers mentorship and growth in LLMs, agentic systems, and production AI engineering, with a focus on reliability, security, and auditability within a financial #J-18808-Ljbffr ...

working with:As a QE AI Engineer & QE Architect, you will have the opportunity of joining an award winning Quality Engineering team that is working on some of the most cutting edge technologies that is embracing new innovations, such as in built quality checks that embraces AI/… technical stakeholders is a must.You will join a highly focused quality engineering team that are experts in driving a AI & agentic AI engineering led approach to driving value for our clients. You are responsible to ensure Shift-Left Testing emphasising early testing in the development lifecycle. ...

WeDoTech is seeking a Staff ML Engineer to lead the production machine learning and AI engineering efforts in London. The role focuses on scaling Agentic AI capabilities, establishing robust architectures and best practices, and guiding teams to build safe, reliable AI/ML solutions in production. You will ...