1 to 25 of 39 Vertex AI Jobs in the UK excluding London

Role: CoPilot Architect Location: London Role Summary As a Senior Architect You will define and drive HCLTech’s strategy for Microsoft 365 CoPilot and Agentic AI—serving as the principal architect for our highest-value clients. You’ll craft enterprise-scale CoPilot ecosystems, influence vendor roadmaps with Microsoft and OpenAI, and shape governance and best practices across our … AI & Cloud Native Labs network. Key Responsibilities 1. Strategic Architecture & Vision a. Establish the Centre of Excellence’s reference architecture for Copilot and Agentic AI, supporting multi-tenant, multi-region deployments. b. Align CoPilot and adjacent AI frameworks (Google Vertex AI, AWS Bedrock, ServiceNow Agentforce) with HCLTech’s global transformation … workshops and steering committees to translate AI capabilities into strategic imperatives. 3. Vendor Ecosystem Leadership a. Forge strategic alliances with Microsoft CoPilot engineering, OpenAI research, Google Cloud AI, AWS AI, and ServiceNow teams. b. Influence product roadmaps by providing enterprise requirements and market insights. 4. Governance, Compliance & Risk a. Define and enforce governance frameworks More ❯

Role: CoPilot Architect Location: London Role Summary As a Senior Architect You will define and drive HCLTech’s strategy for Microsoft 365 CoPilot and Agentic AI—serving as the principal architect for our highest-value clients. You’ll craft enterprise-scale CoPilot ecosystems, influence vendor roadmaps with Microsoft and OpenAI, and shape governance and best practices across our … AI & Cloud Native Labs network. Key Responsibilities 1. Strategic Architecture & Vision a. Establish the Centre of Excellence’s reference architecture for Copilot and Agentic AI, supporting multi-tenant, multi-region deployments. b. Align CoPilot and adjacent AI frameworks (Google Vertex AI, AWS Bedrock, ServiceNow Agentforce) with HCLTech’s global transformation … workshops and steering committees to translate AI capabilities into strategic imperatives. 3. Vendor Ecosystem Leadership a. Forge strategic alliances with Microsoft CoPilot engineering, OpenAI research, Google Cloud AI, AWS AI, and ServiceNow teams. b. Influence product roadmaps by providing enterprise requirements and market insights. 4. Governance, Compliance & Risk a. Define and enforce governance frameworks More ❯

Role: CoPilot Architect Location: London Role Summary As a Senior Architect You will define and drive HCLTech’s strategy for Microsoft 365 CoPilot and Agentic AI—serving as the principal architect for our highest-value clients. You’ll craft enterprise-scale CoPilot ecosystems, influence vendor roadmaps with Microsoft and OpenAI, and shape governance and best practices across our … AI & Cloud Native Labs network. Key Responsibilities 1. Strategic Architecture & Vision a. Establish the Centre of Excellence’s reference architecture for Copilot and Agentic AI, supporting multi-tenant, multi-region deployments. b. Align CoPilot and adjacent AI frameworks (Google Vertex AI, AWS Bedrock, ServiceNow Agentforce) with HCLTech’s global transformation … workshops and steering committees to translate AI capabilities into strategic imperatives. 3. Vendor Ecosystem Leadership a. Forge strategic alliances with Microsoft CoPilot engineering, OpenAI research, Google Cloud AI, AWS AI, and ServiceNow teams. b. Influence product roadmaps by providing enterprise requirements and market insights. 4. Governance, Compliance & Risk a. Define and enforce governance frameworks More ❯

Senior AI Engineer | Shape Greenfield AI Capabilities in a Global Platform MCS Group is delighted to be partnering exclusively with an established global tech company with a engineering hub in Belfast that is expanding its Data & AI Platform Team as part of a multi-year digital transformation. They develop digital manufacturing intelligence tools used … by world-leading manufacturers to make smarter design, sourcing, and production decisions - combining cloud data , AI , and digital twin technology to drive efficiency, sustainability, and innovation. The Role This is a hands-on AI engineering role within a collaborative, product-driven team building a next-generation data platform that leverages proprietary data to deliver advanced insights … and AI capabilities . You'll design and implement both LLM-driven and traditional AI/ML solutions, embedding intelligent automation into core products and data workflows. It's a greenfield opportunity with real freedom to shape how AI is built, deployed, and scaled across the organisation. You'll Be Working On Designing and More ❯

Senior AI Engineer | Shape Greenfield AI Capabilities in a Global Platform MCS Group is delighted to be partnering exclusively with an established global tech company with a engineering hub in Belfast that is expanding its Data & AI Platform Team as part of a multi-year digital transformation. They develop digital manufacturing intelligence tools used … by world-leading manufacturers to make smarter design, sourcing, and production decisions - combining cloud data , AI , and digital twin technology to drive efficiency, sustainability, and innovation. The Role This is a hands-on AI engineering role within a collaborative, product-driven team building a next-generation data platform that leverages proprietary data to deliver advanced insights … and AI capabilities . You'll design and implement both LLM-driven and traditional AI/ML solutions, embedding intelligent automation into core products and data workflows. It's a greenfield opportunity with real freedom to shape how AI is built, deployed, and scaled across the organisation. You'll Be Working On Designing and More ❯

Senior AI Engineer | Shape Greenfield AI Capabilities in a Global Platform MCS Group is delighted to be partnering exclusively with an established global tech company with a engineering hub in Belfast that is expanding its Data & AI Platform Team as part of a multi-year digital transformation. They develop digital manufacturing intelligence tools used … by world-leading manufacturers to make smarter design, sourcing, and production decisions - combining cloud data , AI , and digital twin technology to drive efficiency, sustainability, and innovation. The Role This is a hands-on AI engineering role within a collaborative, product-driven team building a next-generation data platform that leverages proprietary data to deliver advanced insights … and AI capabilities . You'll design and implement both LLM-driven and traditional AI/ML solutions, embedding intelligent automation into core products and data workflows. It's a greenfield opportunity with real freedom to shape how AI is built, deployed, and scaled across the organisation. You'll Be Working On Designing and More ❯

Project Description: We are seeking highly skilled and motivated Generative AI Engineers to join our growing AI team. You will be responsible for designing, developing, and deploying cutting-edge Generative AI solutions using LLMs, Transformers, and Diffusion models. This role involves working on enterprise-grade applications such as intelligent chatbots, document summarization, code assistants … and more. Responsibilities: Design, prototype, and deploy Generative AI models (LLMs, Transformers, Diffusion models) for real-world enterprise use cases. Build and fine-tune LLM-based applications such as: - Chatbots - Document Q&A systems - Report generators - Code assistants - Summarization tools Apply prompt engineering, Retrieval-Augmented Generation (RAG), and context-aware pipelines to enhance model accuracy and relevance. Integrate … AI models with enterprise systems, APIs, and data stores using Python, Java, or Node.js. Collaborate with architects to define scalable, secure, and cost-efficient AI service architectures. Implement AI/ML pipelines for training, validation, and deployment using tools like MLflow, Vertex AI, or Azure ML. Monitor model performance, detect More ❯

Project Description: We are seeking highly skilled and motivated Generative AI Engineers to join our growing AI team. You will be responsible for designing, developing, and deploying cutting-edge Generative AI solutions using LLMs, Transformers, and Diffusion models. This role involves working on enterprise-grade applications such as intelligent chatbots, document summarization, code assistants … and more. Responsibilities: Design, prototype, and deploy Generative AI models (LLMs, Transformers, Diffusion models) for real-world enterprise use cases. Build and fine-tune LLM-based applications such as: - Chatbots - Document Q&A systems - Report generators - Code assistants - Summarization tools Apply prompt engineering, Retrieval-Augmented Generation (RAG), and context-aware pipelines to enhance model accuracy and relevance. Integrate … AI models with enterprise systems, APIs, and data stores using Python, Java, or Node.js. Collaborate with architects to define scalable, secure, and cost-efficient AI service architectures. Implement AI/ML pipelines for training, validation, and deployment using tools like MLflow, Vertex AI, or Azure ML. Monitor model performance, detect More ❯

Project Description: We are seeking highly skilled and motivated Generative AI Engineers to join our growing AI team. You will be responsible for designing, developing, and deploying cutting-edge Generative AI solutions using LLMs, Transformers, and Diffusion models. This role involves working on enterprise-grade applications such as intelligent chatbots, document summarization, code assistants … and more. Responsibilities: Design, prototype, and deploy Generative AI models (LLMs, Transformers, Diffusion models) for real-world enterprise use cases. Build and fine-tune LLM-based applications such as: - Chatbots - Document Q&A systems - Report generators - Code assistants - Summarization tools Apply prompt engineering, Retrieval-Augmented Generation (RAG), and context-aware pipelines to enhance model accuracy and relevance. Integrate … AI models with enterprise systems, APIs, and data stores using Python, Java, or Node.js. Collaborate with architects to define scalable, secure, and cost-efficient AI service architectures. Implement AI/ML pipelines for training, validation, and deployment using tools like MLflow, Vertex AI, or Azure ML. Monitor model performance, detect More ❯

Machine Learning & AI Engineer page is loaded Machine Learning & AI Engineerlocations: Bristol Harboursidetime type: Full timeposted on: Posted Todaytime left to apply: End Date: November 5, 2025 (13 days left to apply)job requisition id: 143314 End Date Tuesday 04 November 2025 Salary Range £70,929 - £78,810 Flexible Working Options Hybrid Working, Job Share Job … Description Summary . Job Description JOB TITLE: Machine Learning & AI Engineer. SALARY : £71,000pa to £86,691pa plus an extensive benefits package. LOCATION: Bristol. HOURS: 35 hours, full time. WORKING PATTERN : Our work style is hybrid, which involves spending at least two days per week, or 40% of your time, at our Bristol hub.We're on an exciting … a great place for everyone, including you! Experience Optimisation is a product within the Personalised Experiences & Communications Platform. We are the team responsible for building Machine Learning (ML) AI models to define how we want to engage our customers with communications. We use a range of tried and tested techniques, as well as leveraging advances in AI More ❯

Overview JOB TITLE: Machine Learning & AI Engineer. SALARY : £71,000pa to £86,691pa plus an extensive benefits package. LOCATION: Bristol. HOURS: 35 hours, full time. WORKING PATTERN : Our work style is hybrid, which involves spending at least two days per week, or 40% of your time, at our Bristol hub. We're on an exciting journey to transform … a great place for everyone, including you! Experience Optimisation is a product within the Personalised Experiences & Communications Platform. We are the team responsible for building Machine Learning (ML) AI models to define how we want to engage our customers with communications. We use a range of tried and tested techniques, as well as leveraging advances in AI model development, to develop and deploy a wide range of ML models. We're looking for a strategic and technically minded Machine Learning & AI Engineer to join our team as we continue to advance the Group in this space. Want to hear more? You will use your knowledge of key software development best practices, Python testing More ❯

Overview From millions of reviews to rich user interaction data, we have a vast amount of behavioral and content data that powers our consumer platform. In the Applied AI team, we're focused on leveraging AI and ML to improve how people discover, interact with, and trust businesses on Trustpilot. We are seeking Data Scientists to … join our Applied AI team across our brand new B2B Data Product, to build intelligent, data-driven product features that improve user experience and deliver business impact. You will collaborate closely with a cross-functional team of engineers, product managers, designers, data analysts, and ML engineers to develop and maintain impactful AI/ML models at … ability to work cross-functionally are essential. What you'll be doing Great opportunity to make a real product impact by applying the state of the art in AI and ML. Work on some of our most exciting Data Science initiatives aimed at improving the Trustpilot consumer experience: from ranking and recommendations to natural language processing and search. More ❯

Series C scale-up (raised $70m in 2025) building the commerce OS used by household names. They're hiring a Senior Data Scientist to take point on agentic AI: architect multi-agent workflows, fine-tune LLMs, and own the metrics that prove business impact. Their platform already powers 3,000+ brands and automates complex operations at scale. Why … hand-offs; build resilient multi-agent journeys for discovery → advice → purchase. LLM training & tuning: Run LoRA/QLoRA/full fine-tunes with PyTorch/Hugging Face on Vertex AI ; own data curation and the evaluation harness. Measurement: Set and track KPIs (task completion, hand-off success, latency/cost/factuality, business outcomes). Classical … scikit-learn/XGBoost/LightGBM . Stack (core) Python (production-grade) LLM tooling: PyTorch, Hugging Face, TensorFlow Fine-tuning: LoRA/QLoRA/full training GCP/Vertex AI: Training, Pipelines, Registry/Deploy Experimentation: SQL, A/B test design, causal thinking Predictive: scikit-learn, XGBoost, LightGBM, Google AutoML More ❯

like LangChain or LlamaIndex. Familiarity with tools for working with Large Language Models via API or in a local context (e.g. HuggingFace transformers). Practical experience using managed AI services and foundation models from a major cloud provider (e.g., Amazon Bedrock, Google Vertex AI, Azure AI Services). Experience with a major … conversational AI platform (Google Dialogflow, Amazon Lex, Rasa, or similar). A solid understanding of core Python ML libraries (Keras, scikit-learn, Pandas) and deep learning frameworks (TensorFlow, PyTorch). Desirable (but not essential) experience: Working with tools/interfaces for AI applications e.g. MCP protocol. Training traditional ML and DL models using tools like Axolotl … LoRA, or QLoRA. Experience with multi-agent orchestration frameworks (LangGraph, AutoGen, CrewAI) Experience with observability and evaluation tools for LLMs such as TruLens or Helicone. Experience with AI safety and reliability frameworks like Guardrails AI. More ❯

I'm hiring for an AI project focused on Agentic AI systems deployed on Google Cloud Platform (GCP). This is a opportunity to work with a forward-thinking consultancy delivering real-world AI solutions to public and private sector clients.Details- Proven experience building Agentic AI systems (e.g. autonomous agents, multi-agent … orchestration, tool use, memory, planning) Strong hands-on skills in Python, LLMs, RAG, and LangChain or similar frameworks Deep understanding of GCP services: Vertex AI, BigQuery, Cloud Functions, Pub/Sub, etc. Experience with batch and real-time data pipelines Familiarity with AI assurance, governance, or ethical AI is a bonus Ability More ❯

Contract Type: Contract Duration: 6–12 months (possibility of extension) Start Date: ASAP Overview We are seeking an experienced Machine Learning Engineer to join our data science and AI engineering team on a contract basis in London. The ideal candidate will be responsible for designing, developing, and deploying machine learning models and scalable data pipelines that support advanced … combining flexibility with collaboration, and is ideal for a contractor who thrives in fast-paced, data-driven environments. Key Responsibilities Design, build, and deploy machine learning models and AI-driven solutions to address business challenges. Collaborate with data scientists to transition prototypes into production-ready systems . Develop and maintain end-to-end ML pipelines for data ingestion … retraining processes to ensure continuous improvement. Collaborate cross-functionally with engineering, data, and product teams to integrate ML solutions into production environments. Stay current with emerging trends in AI/ML technologies and contribute to innovation within the organisation. Required Skills & Experience Proven experience (3–5+ years) as a Machine Learning Engineer , Data Scientist , or similar role. Strong More ❯

Contract Type: Contract Duration: 6–12 months (possibility of extension) Start Date: ASAP Overview We are seeking an experienced Machine Learning Engineer to join our data science and AI engineering team on a contract basis in London. The ideal candidate will be responsible for designing, developing, and deploying machine learning models and scalable data pipelines that support advanced … combining flexibility with collaboration, and is ideal for a contractor who thrives in fast-paced, data-driven environments. Key Responsibilities Design, build, and deploy machine learning models and AI-driven solutions to address business challenges. Collaborate with data scientists to transition prototypes into production-ready systems . Develop and maintain end-to-end ML pipelines for data ingestion … retraining processes to ensure continuous improvement. Collaborate cross-functionally with engineering, data, and product teams to integrate ML solutions into production environments. Stay current with emerging trends in AI/ML technologies and contribute to innovation within the organisation. Required Skills & Experience Proven experience (3–5+ years) as a Machine Learning Engineer , Data Scientist , or similar role. Strong More ❯

Contract Type: Contract Duration: 6–12 months (possibility of extension) Start Date: ASAP Overview We are seeking an experienced Machine Learning Engineer to join our data science and AI engineering team on a contract basis in London. The ideal candidate will be responsible for designing, developing, and deploying machine learning models and scalable data pipelines that support advanced … combining flexibility with collaboration, and is ideal for a contractor who thrives in fast-paced, data-driven environments. Key Responsibilities Design, build, and deploy machine learning models and AI-driven solutions to address business challenges. Collaborate with data scientists to transition prototypes into production-ready systems . Develop and maintain end-to-end ML pipelines for data ingestion … retraining processes to ensure continuous improvement. Collaborate cross-functionally with engineering, data, and product teams to integrate ML solutions into production environments. Stay current with emerging trends in AI/ML technologies and contribute to innovation within the organisation. Required Skills & Experience Proven experience (3–5+ years) as a Machine Learning Engineer , Data Scientist , or similar role. Strong 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 ❯

systems and infrastructure. Experience with machine learning, C++ and Python. Preferred qualifications: Master's degree in Computer Science or a related technical field. Experience with system design, Generative AI Agent. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our … You will play a pivotal role in building a team to ensure the deployment of GenAI across Google is as easy, economical, and as fast as possible. The AI and Infrastructure team works on the world's toughest problems, redefining what's possible and the possible easy. We empower Google customers by delivering AI and Infrastructure … Googlers, Googler Cloud customers, and billions of Google users worldwide. We're at the center of amazing work at Google by being the "flywheel" that enables our advanced AI models, delivers computing power across global services, and offers platforms that developers use to build services. In AI and Infrastructure, we shape the future of hyperscale computing More ❯

and strategically minded Solutions Architect to drive the technical direction and governance of our core domain initiatives. This role requires a strong blend of modern technology expertise (GCP, AI/ML, Core Banking), rigorous architectural governance, and the ability to influence strategy through commercial acumen and Agile principles. The Solution Architect partners with product and technical teams to … need from you? Industry Experience: Proven track record of architecting within Financial Services or other highly regulated industries. Technical Depth: Desired experience with cloud and modern FinTech/AI solutions (e.g., Vertex AI, Thought Machine, Flowable, or similar Core Banking/Workflow tools). Delivery Mastery: Deep understanding and practical application of Product-oriented More ❯

and strategically minded Solutions Architect to drive the technical direction and governance of our core domain initiatives. This role requires a strong blend of modern technology expertise (GCP, AI/ML, Core Banking), rigorous architectural governance, and the ability to influence strategy through commercial acumen and Agile principles. The Solution Architect partners with product and technical teams to … need from you? Industry Experience: Proven track record of architecting within Financial Services or other highly regulated industries. Technical Depth: Desired experience with cloud and modern FinTech/AI solutions (e.g., Vertex AI, Thought Machine, Flowable, or similar Core Banking/Workflow tools). Delivery Mastery: Deep understanding and practical application of Product-oriented More ❯

Location : Hybrid/London or Peterborough Team : Data & AI Why this role matters At Compare the Market, we're applying AI to real-world problems that help millions of people make smarter financial decisions. As a Machine Learning Engineer, you'll work at the heart of this transformation—building the infrastructure and tooling that enables our … Have Practical experience deploying ML models into production environments Strong Python development skills and understanding of ML model structures Familiarity with tools such as MLflow, Airflow, SageMaker, or Vertex AI Understanding of CI/CD concepts and basic infrastructure automation Ability to write well-tested, maintainable, and modular code Strong collaboration skills and a growth mindset … or workflow engines (e.g. Argo, Airflow) Familiarity with real-time model deployment, streaming data, or event-driven systems (e.g. Kafka, Flink) Interest in MLOps, model governance, and responsible AI practices Understanding of basic model evaluation, drift detection, and monitoring techniques Why Join Us? You'll work on meaningful problems using modern tooling, surrounded by smart, supportive people. We More ❯

We're partnering with an established AI consultancy seeking a Contract Machine Learning Engineer (NLP) to lead an NLP project for a major utilities client. You'll develop and deploy transformer models, LLMs, and RAG pipelines to extract insights from unstructured data. Remote, outside IR35, £650/day. Contract Machine Learning Engineer (NLP - Utilities Sector) Rate: £650/… day IR35: Outside Location: Remote (occasional travel to Cambridge) Duration: 6 months (initial) Our client is a specialist AI consultancy with a growing client base and an expanding portfolio of project types across multiple industries. As they scale, their internal team is being deployed onto several new accounts - and they're now seeking a Contract Machine Learning Engineer … Face Transformers. Build or enhance retrieval-augmented generation (RAG) systems using LangChain and vector databases like FAISS, Weaviate, or Pinecone. Package and deploy solutions via Docker, Kubernetes, or Vertex AI/SageMaker. Collaborate with internal MLOps and Data Science teams to ensure robustness, monitoring, and CI/CD alignment. Communicate progress clearly with stakeholders and deliver More ❯

hands-on experience using libraries such as Pandas, Scikit-Learn, Jupyter, and Matplotlib. Proficient in SQL for data extraction and transformation. Experience with Google Cloud Platform (GCP) and Vertex AI for developing and deploying ML services is highly desirable. Solid understanding of time series analysis and forecasting techniques. Strong foundation in computer science principles - data structures More ❯