10 of 10 Vertex AI Jobs in London

AI Associate Director (London) - Client-Facing AI Solutions & Architecture Overview Method has partnered with a digital consulting firm investing heavily in its AI and client-facing technology capabilities. As the business continues to evolve its AI offering, they are looking to hire … Associate Director to help shape, design, and deliver enterprise AI solutions across a growing portfolio of clients. This role is suited to someone who combines strong technical understanding of modern AI technologies with the ability to engage confidently with senior client stakeholders. You will play ...

drive our global teams forward. We refuse to compromise on quality and seek problem solvers who thrive on high-impact technical challenges.The Team: AI & Data PlatformThe AI & Data Platform team powers intelligence across the Bullish ecosystem—from our institutional-grade cryptocurrency exchange to CoinDesk’s media … data, and indices businesses. We build the infrastructure that transforms raw data into governed, trustworthy assets and deploy AI systems that meet the reliability standards our institutional clients expect.We operate at the intersection of data engineering, semantic modeling, and applied AI—delivering solutions across the enterprise ...

Principal Technology Architect – LLMs, agentic coding systems, intelligent IDEs, AI Role Senior Forward Deployed Engineer (AI‐Native) – Principal Technology Architect Location: London Compensation: Competitive (including bonus) Responsibilities Serve as principal engineering lead for complex, multi‐region AI programs; define solution strategy, roadmap, and measurable … outcomes. Lead workshops and discoveries focused on AI‐enabled engineering (LLMs, agents, RAG, prompt ops, model ops). Architect AI integrations across APIs, pipelines, cloud services, and enterprise toolchains; enforce reliability, safety, and cost discipline. Operationalize agentic engineering (task decomposition, tools, memory, planning) for accelerated delivery. ...

maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category: Sales About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword … voice pipelines or multimodal integrations via hyperscaler services. Advanced AI/ML Frameworks – Exposure to frameworks (TensorFlow, PyTorch), MLOps practices, and cloud AI platforms like Google Vertex AI or AWS Sagemaker. Education – BS in Computer Science, Engineering, Data Science, or equivalent technical ...

## AI Security Engineering LeadApplylocations: Edinburgh: Manchester Westminster House: London 10 Gresham Street: Bristol Harbourside: Leeds Wellington Placetime type: Full timeposted on: Posted 3 Days Agotime left to apply: End Date: June 26, 2026 (24 days left to apply)job requisition id: 157480**End Date**Thursday 25 June … here for more information on flexible working options****Flexible Working Options**Hybrid Working, Job Share**Job Description Summary**.**Job Description****JOB TITLE:** AI Security Engineering Lead**SALARY:** £92,701 - £115,000 per annum (outside London) £107,304 - £130,000 per annum (London)**LOCATION:** Leeds, Bristol, Edinburgh, Manchester ...

This is an exciting role for a senior AI/ML Research Engineer to join a world-leading Energy Trading & Commodities company as part of their highly innovative GenAI Team. You will be responsible for designing, developing, and deploying scalable AI/ML solutions across multiple … delivering production-grade machine learning systems while ensuring alignment with enterprise quality, reliability and scalability standards. You will lead end-to-end AI/ML solution development from data exploration and experimentation through to deployment, monitoring and continuous optimisation. You will work closely with cross-functional teams including ...

near-production) experience with at least one of: LLM API integration, vector databases, prompt engineering, or RAG pipeline Familiarity with REST-based AI APIs (OpenAI, Anthropic, Google Vertex AI, or equivalent) and a working understanding of embeddings, semantic search, and Comfortable reading Python code … notebooks (most AI libraries are Python-first); ability to translate patterns into robust Java implementations Active, fluent use of AI coding tools in your current workflow - and a point of view on where they help and where they don't. Strong Agile delivery experience - sprint planning ...

hands-on exposure to at least one of: LLM API integration, vector databases, prompt engineering, or RAG pipeline construction * Familiarity with REST-based AI APIs (OpenAI, Anthropic, Google Vertex AI, or equivalent). * Basic understanding of embeddings, semantic search, and token-based context management. … Comfortable reading Python code or notebooks (most AI libraries are Python-first); ability to translate patterns into Java implementations. * Active use of AI coding tools in your current workflow. * Experience with Agile delivery - sprint planning, story decomposition, backlog grooming, retrospectives. * Strong unit and component testing discipline ...

hands-on exposure to at least one of: LLM API integration, vector databases, prompt engineering, or RAG pipeline construction * Familiarity with REST-based AI APIs (OpenAI, Anthropic, Google Vertex AI, or equivalent). * Basic understanding of embeddings, semantic search, and token-based context management. … Comfortable reading Python code or notebooks (most AI libraries are Python-first); ability to translate patterns into Java implementations. * Active use of AI coding tools in your current workflow. * Experience with Agile delivery - sprint planning, story decomposition, backlog grooming, retrospectives. * Strong unit and component testing discipline ...

experienced Architect passionate about shaping how organisations deploy and scale AI? I'm supporting a leading business in the Insurance Sector as they build next-generation AI and integration capabilities across their enterprise. You'll work at the intersection of GenAI engineering, cloud architecture, and enterprise … integration, helping define end-to-end solutions that are secure, resilient, and scalable. What you'll be doing Designing and deploying AI-enabled solutions across cloud environments. Leading on GenAI orchestration (LangChain, Autogen, Google ADK). Architecting RAG pipelines, vector database integrations, and prompt management strategies. Building guardrail ...