18 of 18 Vertex AI Jobs in London

teams to understand customer challenges, design and present compelling solutions, and guide customers through the implementation and adoption of our products and services, with a focus on Generative AI solutions on Google Cloud. This role requires a blend of technical depth, business acumen, and strong communication skills, with a specialization in applying Generative AI technologies to … solve complex business problems. A Customer Engineer needs a blend of strong technical skills in cloud-native technologies, including AI/ML, and excellent communication and problem-solving abilities to assist customers with their cloud solutions. Core Focus: Google Cloud Platform (GCP) Expertise Cloud-Native Proficiency: Kubernetes, containers, and serverless architectures. GCP Service Mastery: Deep knowledge of core … of Vertex AI's role in enabling generative AI solutions. GCP AI/ML Services: Knowledge of other relevant Google Cloud AI/ML services and APIs (e.g., Natural Language API, Vision API). Infrastructure Automation: IaC with Terraform or Cloud Deployment Manager. Cloud Solution Design: Building scalable, secure, and More ❯

Technically sharp AI Prompt Engineer Youll design and optimize prompts, build LLM-powered applications, and deploy scalable GenAI solutions that connect people and intelligent systems in new ways. ?? What Youll Do Design, test, and refine prompts for leading LLMs (GPT-4/5, Claude, Gemini, Mistral, LLaMA, Cohere). Experiment with advanced prompting techniques; Chain-of-Thought, ReAct … Tree-of-Thoughts, and more. Deploy AI/ML pipelines using Azure ML, AWS SageMaker, Vertex AI, or Databricks. Integrate LLMs into production apps using LangChain, LlamaIndex, and RAG architectures. Build APIs and microservices for scalable AI deployment. Use AI-powered dev tools like GitHub Copilot, Cursor, and Codeium to … collaboration skills. Curious, adaptable, and passionate about staying at the edge of Generative AI. ?? Nice to Have Experience with PromptOps tools (PromptLayer, Humanloop, LangFuse). Knowledge of ethical AI, bias mitigation, responsible AI principles. Bachelors or Masters degree in Computer Science, AI/ML or related field. Tech Stack LLMs: GPT-4/ More ❯

Job Post: Data & Analytics - Gen AI Engineer (Contract) A Leading Technology Consulting Firm Job Title: Data & Analytics - Gen AI Engineer Contract Duration: 6 Months+ Location: Primarily remote, with pre-agreed, company-covered travel if needed) IR35 Status: Inside IR35 Start Date (Approx.): November 2025 The Project: AI Transformation Initiative We are seeking a highly … skilled and specialized Generative AI Engineer to join a critical 6-month project focused on implementing advanced AI solutions within the commercial banking sector. This role requires specialized knowledge and expertise not currently available in-house to rapidly design, prototype, and deploy cutting-edge Generative AI models. The Role: Gen AI Engineer … As a Generative AI Engineer, you will be a key specialist focused on the end-to-end lifecycle of generative AI models and algorithms. You will work closely with architects and business stakeholders to turn complex banking requirements into practical, scalable, and secure AI solutions. Key Responsibilities & Services Design & Deployment: Design, prototype, and deploy More ❯

Job Post: Data & Analytics - Gen AI Engineer (Contract) A Leading Technology Consulting Firm Job Title: Data & Analytics - Gen AI Engineer Contract Duration: 6 Months+ Location: Primarily remote, with pre-agreed, company-covered travel if needed) IR35 Status: Inside IR35 Start Date (Approx.): November 2025 The Project: AI Transformation Initiative We are seeking a highly … skilled and specialized Generative AI Engineer to join a critical 6-month project focused on implementing advanced AI solutions within the commercial banking sector. This role requires specialized knowledge and expertise not currently available in-house to rapidly design, prototype, and deploy cutting-edge Generative AI models. The Role: Gen AI Engineer … As a Generative AI Engineer, you will be a key specialist focused on the end-to-end lifecycle of generative AI models and algorithms. You will work closely with architects and business stakeholders to turn complex banking requirements into practical, scalable, and secure AI solutions. Key Responsibilities & Services Design & Deployment: Design, prototype, and deploy More ❯

AI Prompt Engineer Technically Sharp & Systems-Minded Youll design and optimize prompts, architect LLM-powered systems and deploy scalable GenAI workflows that connect people and intelligent systems in new, high-impact ways. What Youll Do Prompting & Reasoning Systems Design, test and optimize prompts for leading frontier models (GPT-4/5, Claude 3.x, Gemini 2.x, Mistral Large, LLaMA … embedding optimization, chunking strategies and evaluation harnesses. Develop APIs, microservices and serverless workflows for scalable deployment. ML/LLM Engineering Work with AI+ML pipelines throughAzure ML,AWS SageMaker,Vertex AI,Databricks, orModal/Fly.iofor lightweight LLM deployment. Utilizevector databases(Pinecone, Weaviate, Milvus, ChromaDB, pgVector) and embedding stores. UseAI-powered dev tools(GitHub Copilot, Cursor, Codeium, Aider … Curiosity, adaptability and a drive to stay ahead of rapid advancements in GenAI. Nice to Have Experience withPromptOps & LLM Observabilitytools (PromptLayer, LangFuse, Humanloop, Helicone, LangSmith). Understanding ofResponsible AI, model safety, bias mitigation, evaluation frameworks and governance. Background in Computer Science, AI/ML, Engineering, or related fields. Experience deploying or fine-tuning open-source LLMs. More ❯

we grow, we are always looking for extraordinary talent who want to be part of this our success and help drive our limitless ambitions. About the role The AI & ML Engineering team accelerates the adoption of AI across the business, championing innovation while ensuring our machine learning products are robust, scalable, and cost-efficient. We enable … teams to solve problems using existing AI tools where possible and build custom solutions when needed. Our remit spans AI enablement, agentic systems development, and "conventional" ML engineering for non-GenAI applications e.g. recommender systems, forecasting models, and more. The Lead AI & ML Engineer leads this team. We're looking for an individual who … can own the standard & delivery of AI/ML across Charlotte Tilbury and contribute to the development & delivery of the company's AI strategy. You'll manage & coach a team of AI engineers, and play a pivotal role in AI enablement across the company educating and advising teams across the business on More ❯

AI Solution Engineer - Senior Manager Location: London Salary: £95,000 - £125,000 + car allowance + bonus About the Role We are seeking an experienced AI Solution Engineer to bridge the gap between industry-focused architects who identify AI opportunities and the engineering teams who bring solutions to life. In this role, you will … shape AI solutions from early-stage concepts through to technical prototypes — ensuring they are both commercially valuable and technically feasible. Acting as a trusted advisor, you will help clients understand how AI can solve real business challenges, demonstrating technical excellence and the art of the possible. You will work closely with sales teams, architects, and technical … specialists to design, validate, and showcase AI and ML solutions using leading hyperscaler platforms. What You’ll Be Doing Support early-stage sales conversations by helping non-technical teams understand AI capabilities and solution options. Design, build, and present cloud-based AI prototypes that bring proposed solutions to life. Translate customer challenges into viable More ❯

we grow, we are always looking for extraordinary talent who want to be part of this our success and help drive our limitless ambitions. About the role The AI & ML Engineering team accelerates the adoption of AI across the business, championing innovation while ensuring our machine learning products are robust, scalable, and cost-efficient. We enable … teams to solve problems using existing AI tools where possible and build custom solutions when needed. Our remit spans AI enablement, agentic systems development, and "conventional" ML engineering for non-GenAI applications like recommender systems. This is a highly visible, hands-on engineering role with a strong focus on pragmatic, production-ready solutions that drive real … role and team collaborate closely with the wider Data team (Data Science, Core Data Engineering) and the wider organisation (Technology, Legal, Information Security) to onboard/develop & scale AI applications. As AI & ML Engineer you will be responsible for The role covers the full AI/ML engineering lifecycle, from discovery to deployment and More ❯

Engineer you will be responsible for the improvements and maintenance of our ML Framework, supporting a team of Data Scientists to deploy a variety of Machine Learning and AI models into production. The role works closely in collaboration with Data Scientists and Engineers to follow best practises and Governance. You will need to utilise the GCP Vertex AI suite to enable automated re-training and scoring, making sure our business partners have a robust system to access scores for targeting. What you'll do Collaborate with our Data Scientists to enable them to also work within the Framework and prepare their models for production using various components. Act as a bridge between Data … on existing processes. Work closely with ML Engineers from other teams to share learnings and accelerate development of new features What you'll bring Advanced working knowledge of Vertex AI and the wider GCP ecosystem. Great communication skills to aid the Principal Data Scientist to develop long term roadmaps and be comfortable presenting to Data leaders More ❯

forecasting). Practical experience with Keras or PyTorch is required. Full-Stack Deployment: Demonstrable experience taking models to production, including building and deploying APIs with FastAPI and using Vertex AI for ML workflows. Visualization & Communication: Ability to create clear visualizations and effectively communicate technical findings to non-technical stakeholders. Highly desirable skills include: Football Analytics Domain … Significant plus if experienced with football datasets (event, tracking, etc.) and visualization libraries like mplsoccer . Advanced MLOps & Modelling: Deeper experience with the Vertex AI lifecycle (especially Pipelines ) and advanced modelling techniques relevant to football (player valuation, tactical analysis). Bayesian Modelling: Experience with probabilistic programming (e.g., PyMC). Stakeholder Management: Proven success working directly with More ❯

Product Manager – AI Platform About Carbon3 is building the UK's sovereign AI infrastructure platform, combining renewable energy, distributed compute, and full data ownership to power the next generation of sustainable innovation. Our platform includes: Carbon3 Orchestrator: full-stack AI infrastructure management AI Studio: agent-based low/no-code development environment … ModelHub: model hosting, deployment, and performance monitoring AI Mesh: UK-wide sovereign compute backbone Role Summary We are hiring a Product Manager to own the roadmap and delivery across our core AI platform components. You will translate technical vision into usable, secure, and scalable products that let enterprises build, deploy, and operate AI workloads … directly with customers to validate needs and convert insights into clear product definitions and measurable outcomes. Key Responsibilities Own the end-to-end lifecycle for Orchestrator, ModelHub, and AI Studio — from discovery through launch and iteration. Define user-centred product requirements that balance technical feasibility, customer need, and commercial impact. Run structured discovery with customers and partners; convert More ❯

best people to help us make it happen. We're an early-stage start-up out of London working at the intersection of system design, cloud infrastructure, and AI to accelerate the adoption of modern tools and technologies. Our goal is nothing less than to enable businesses of all sizes and shapes to leverage best-of-class technologies … exciting? This is a rare opportunity to join at the earliest stage and help build the foundations of a generational product. The Role We're looking for an AI Engineer with deep experience in applied sub-fields such as recommender systems, retrieval-augmented generation (RAG), agentic AI, or automated decision-making to drive the development of … pushing the boundaries of what's possible with applied AI. What You'll Be Doing: Owning and evolving the intelligence layer of our recommender system. Designing and implementing AI/ML systems that scale gracefully. Applying and iterating on LLMs and data-driven approaches to improve recommendations. Rapidly experimenting with RAG, search algorithms, and agentic architectures. Debugging complex More ❯

Machine Learning Engineer - Canary Wharf - 75k - Hybrid A leading organisation is expanding its AI capability and is looking for a Machine Learning Engineer to help build and scale next-generation NLP and Gen AI solutions. This role sits at the heart of an established data function, working on real production workloads rather than prototypes. You'll … key role in shaping how intelligent automation, LLMs and ML-driven services are designed, deployed and continuously improved. What you'll be working on * Designing and delivering Gen AI and LLM-driven applications* Building and maintaining machine learning pipelines and data workflows* Developing cloud-native (serverless) ML components within a distributed engineering team* Improving existing ML systems and … shaping a healthy product backlog What you'll need to bring * Strong hands-on Python skills and solid grounding in algorithms and software engineering* Experience designing ML/AI solutions and working with common architecture patterns* Background in serverless data/ML pipelines (Azure preferred, AWS/GCP welcome)* Proficiency in SQL and NoSQL data stores* Broad understanding More ❯

is on a mission to turn every customer conversation into a competitive advantage by unlocking the true potential of the contact center. Our platform combines the best of AI and human intelligence to help contact centers discover customer insights and behavioral best practices, automate conversations and inefficient processes, and empower every team member to work smarter and faster. … Born from the prestigious Stanford AI lab, Cresta's co-founder and chairman is Sebastian Thrun, the genius behind Google X, Waymo, Udacity, and more. Our leadership also includes CEO, Ping Wu, the co-founder of Google Contact Center AI and Vertex AI platform, & co-founder, Tim Shi, an early member of … Open AI. We've assembled a world-class team of AI and ML experts, go-to-market leaders, and top-tier investors including Andreessen Horowitz, Greylock Partners, Sequoia, and former AT&T CEO John Donovan. Our valued customers include brands like Intuit, Cox Communications, Hilton, and Carmax and we've been recognized by Forbes and Bain Consulting as More ❯

best people to help us make it happen. We're an early-stage start-up out of London working at the intersection of system design, cloud infrastructure and AI to accelerate the adoption of modern tools and technologies. Our goal is nothing less than to enable businesses of all sizes and shapes to leverage best-of-class technologies … re using. We, of course, don't expect you to be proficient or familiar with the entire stack, but an eagerness to learn and the ability to leverage AI tooling to get bootstrapped quickly is a must: Frontend TypeScript + React - App Router with React Server Components Shadcn UI, Radix UI & Tailwind CSS - Utility-first CSS framework Data … BigQuery - Cloud data warehouse Dataform - SQL transformation framework - Semantic layer/analytics API Superset - Presentation layer Algolia/Vertex AI Search - Search PostgreSQL - App data Infrastructure & DevOps Google Cloud Platform (GCP) - Cloud provider Pulumi - Infrastructure as Code (TypeScript) GitHub Actions - CI/CD Firebase - Feature flags Cloudflare - CDN and DNS AI & Machine Learning Python More ❯

that bring millions of fans closer to the sports they love. This is a fantastic opportunity to tackle the challenge of optimising our data platforms for real-time AI/ML workloads, mentor talented junior engineers, and make a significant impact on our business. At LiveScore Group, we're the proud home of three of the most exciting … and have relevant experience, we want to hear from you Key Responsibilities Contribute significantly to critical system design decisions, helping to architect data solutions that support real-time AI/ML workloads. Partner with cross-functional teams to translate intricate business needs into effective and innovative data solutions. Mentor and provide expert technical guidance to junior engineers, fostering … overall system performance and efficiency. Skills, Knowledge and Experience You have expert-level proficiency in a core programming language like Python, Java, or Scala, with an emphasis on AI/ML data processing. You possess experience with cloud data services and technologies, ideally within the GCP ecosystem (e.g., Dataflow, Pub/Sub, BigQuery, Vertex AI More ❯

ll be proud to tell your friends about. Qodea is built for what's next. An environment where your skills will evolve at the frontier of innovation and AI, ensuring continuous growth and development. We are looking for a Principal Data Engineer to work alongside our market-leading engineers and architects to deliver complex projects and make valuable … big data processing tools such as Hadoop or Spark Cloud experience; GCP specifically in this case, including services such as Cloud Run, Cloud Functions, BigQuery, GCS, Secret Manager, Vertex AI etc. Experience with Terraform Prior experience in a customer-facing consultancy role would be highly desirable Benefits We believe in supporting our team members both professionally More ❯

leadership team, the business has bold ambitions and a clear mandate to move quickly. A key part of this journey is the Intelligent Automation function, which is delivering AI and GenAI-driven optimisation across core services. This is a fantastic chance to join a growing team where your work will be visible, meaningful and directly improve how customers … transformation pipelines using SQL and NoSQL databases. Hands-on ownership of CI/CD (Jenkins/Azure DevOps/GitHub Actions) and MLOps in Azure ML/Azure AI Foundry/SageMaker/Vertex AI. Working knowledge of Infrastructure as Code (Bicep, ARM, Terraform). A test-driven development mindset and commitment to engineering quality. Broad More ❯