Top AI Jobs in London

Define and standardise end-to-end LLM architectures and reusable AI solution patterns. Design data pipelines, RAG, prompt orchestration and CI/CD for safe production deployment. Set monitoring, evaluation and prompt-testing standards. Lead engineering teams, address product/data/security/legal constraints, and collaborate with stakeholders to deliver AI solutions for regulatory priorities.

Design and run empirical experiments to find how LLM agents fail in realistic settings; build automated audit agents, fine-tune and run models, perform white-box and black-box investigations, produce evals and publish findings that feed into product guardrails.

Design, develop, and deploy intelligent AI agents, optimize large language models, enable collaboration in customer interactions, and maintain backend systems.

Design, build, and maintain scalable, secure full-stack applications using Java and Angular. Lead integration and deployment of agentic AI, implement microservices and event-driven architectures, collaborate with data scientists, and promote CI/CD, testing, security, and best practices. Mentor developers and support the full software lifecycle in a hybrid enterprise environment.

Senior consulting leader who owns the strategic value narrative and client relationships across data platforms, AI and end-to-end software engagements. Leads discovery, executive workshops, alignment, change management and adoption, supervises delivery leads, supports pre-sales, and grows client engagements through solution shaping and go-to-market propositions.

Partner with sales to qualify opportunities, gather requirements, craft D365 Business Central solution demos and proposals, produce estimates, respond to RFIs/RFPs, support go-to-market content, and build Microsoft ecosystem relationships.

Technical presales role focused on designing, demonstrating, and positioning Copilot Studio AI solutions. Partner with sales and Microsoft teams to qualify opportunities, lead technical discovery, build demos/POCs, advise on orchestration, integrations, security and governance, and help develop repeatable AI offerings and enablement materials.

Embed on-site with mid-market CEOs to lead Valis AI deployments: own executive relationships, run transformation cadences, drive fast fixed-scope wins, translate problems into build-ready specs, ensure finance-verified P&L outcomes, manage end-to-end rollout and adoption, and codify repeatable deployment methods.

Build and operate the AI Portal SaaS platform: develop services, APIs, integrations and UIs; improve reliability and observability; triage and resolve production incidents; participate in on-call rotation; deliver end-to-end product features for internal and partner customers.

As a Senior AI Engineer, you'll develop multi-agent systems and LLM applications, mentoring junior engineers and driving AI platform strategy across cloud environments.

The Design Lead manages design projects, mentors the team, leads client interactions, and champions AI in product design, ensuring high-quality digital experiences.

Provide technical client support for energy trading clients: own technical relationships, troubleshoot incidents, lead onboarding and training, scope integrations and pre-sales, and relay client feedback to Product and Engineering to improve Sphere's AI and aggregation platform.

Own and evolve Xantura's text analytics platform: build NLP pipelines, LLM-based extraction and RAG, manage embedding models and vector DBs, maintain classical NLP components, and design agentic AI while ensuring explainability and Responsible AI for sensitive health and social care data.

Design and industrialise production-grade LLM systems and reusable AI platforms on Azure. Build RAG pipelines, agentic workflows, orchestration, evaluation and observability frameworks, and safety guardrails. Optimize for performance, cost and reliability while enabling horizontal reuse across squads and embedding AI risk controls.

Design and validate AI-driven ERP/EAM solutions by mapping detailed business processes to IFS capabilities (Loops, digital workers, agentic AI). Engage customers, product, engineering, and sales to identify opportunities, assess feasibility, and enable successful delivery and adoption of advanced ERP/EAM features.

Produce production-ready AI-generated visuals and video for beauty and fashion campaigns, including packaging, product imagery and retail assets. Develop and refine prompts, collaborate with design and packaging teams, maintain prompt libraries and workflows, and ensure outputs meet brand, print and production standards.

Full-cycle AE role selling Encord's data platform to robotics, autonomous vehicle, and Physical AI teams. Own pipeline through close, build technical and executive relationships, shape ICP, partner with Product and CS, and hit pilots and revenue targets in an early-stage GTM environment.

Lead and deliver AI-native customer experiences by designing frontend-to-orchestration architectures, prototyping LLM-driven interfaces, mentoring engineers, running POCs, advising clients on AI transformation, and operationalizing RAG, vector storage, agentic systems, and AI observability.

Client-facing senior consultant who analyses enterprise needs, designs and pitches AI solutions, guides change management and skills transfer, shapes practice IP, and ensures delivery quality alongside architects and engineers.

As a Data & AI/ML Architect, you will conduct workshops, oversee project delivery, design architectures, and mentor juniors while engaging with clients.

Architect, design and deliver production-grade AI solutions using ML, generative and agentic AI. Lead technical delivery, implement RAG/prompt engineering, ensure responsible AI, drive cloud-native, scalable architectures, mentor and manage junior engineers, and collaborate with clients to translate business needs.

Lead Data & AI strategy engagements for public-sector and regulated clients: assess maturity, prioritise use cases, build business and investment cases, design transformation roadmaps, advise on technology strategy, and support sales, delivery and capability building. Act as trusted advisor to senior stakeholders and mentor consultants to move clients from experimentation to scaled delivery.

Develop and benchmark 3D computer vision and localisation systems (SLAM, visual odometry, scene matching, geo-registration, 3D reconstruction). Extend geometric deep learning and feature-matching methods, design experiments and benchmarks, adapt models to hardware constraints, and collaborate with research, engineering, and product teams to deploy robust AI solutions.

Lead Responsible AI, ethics and assurance engagements: design frameworks, perform impact and ethical risk assessments, define assurance approaches, advise on AI governance, review AI systems (including GenAI/LLMs), support bids, and build internal capability through playbooks, training and delivery assurance.

Lead end-to-end implementation of AI tools for Macro & Fixed Income PMs: build prompts, datasets, vector stores, and pipelines; deliver training and playbooks; drive adoption and measure ROI; liaise with central AI/Tech and Compliance to ensure governance and production-grade deployments.