1 to 25 of 48 Permanent Vertex AI Jobs in 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 ❯

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 drift More ❯

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 drift 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. Location & Work Arrangement: Hybrid: 2 days per week in the office in London or Edinburgh ; 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 More ❯

Job Ad – Gen AI Engineer (Contract) – London, UK Role: Gen AI Engineer Location: London, United Kingdom (Office-based) Contract: 6 Months Rate: £370/day (negotiable) About the Role: We are seeking a Senior Gen AI Engineer to develop and deploy advanced Generative AI products, including fine-tuning LLMs and implementing Graph … RAG solutions. You will implement and optimize Gen AI agents for the Global Supply Chain, delivering scalable, secure, and cost-effective AI solutions. Key Responsibilities: Prototype and deploy Generative AI applications for business objectives. Implement LLMs, Graph RAG, and AI/ML solutions in production environments. Develop automated processes (LLMOps) and CI …/CD pipelines. Collaborate with cross-functional teams to integrate AI into business workflows. Ensure security, compliance, and AI governance standards. Educate IT and business teams on Gen AI capabilities. Required Experience & Skills: Higher degree (PhD preferred) in CS, Engineering, Data Science, Statistics, Physics, Bioinformatics, or related field. 5+ years of hands-on experience More ❯

Senior AI Engineer Location: Remote (UK-based) Type: Permanent Hybrid or Fully Remote (UK) About the Opportunity If you're the kind of engineer who loves turning cutting-edge AI into real, working features that people actually use - this will be a role worth looking at. You'll be joining a global technology company whose platform … real-world production before anything is made - giving customers data-driven insights on cost, efficiency, and design. Now, the focus is shifting to the next big leap: embedding AI and Generative AI directly into that platform. That's where you come in. What You'll Be Doing This is a hands-on, impact-heavy engineering role. … You'll design, build, and deploy AI-powered capabilities that make a genuine difference to how users interact with the platform - things like intelligent assistants, automated insights, and adaptive recommendations. You'll work alongside product and engineering teams to bring these ideas to life, helping to shape both the technical direction and the AI strategy. Expect More ❯

Senior AI Engineer Location: Remote (UK-based) Type: Permanent | Hybrid or Fully Remote (UK) About the Opportunity If you're the kind of engineer who loves turning cutting-edge AI into real, working features that people actually use - this will be a role worth looking at. You'll be joining a global technology company whose platform … real-world production before anything is made - giving customers data-driven insights on cost, efficiency, and design. Now, the focus is shifting to the next big leap: embedding AI and Generative AI directly into that platform. That's where you come in. What You'll Be Doing This is a hands-on, impact-heavy engineering role. … You'll design, build, and deploy AI-powered capabilities that make a genuine difference to how users interact with the platform - things like intelligent assistants, automated insights, and adaptive recommendations. You'll work alongside product and engineering teams to bring these ideas to life, helping to shape both the technical direction and the AI strategy. Expect More ❯

Senior AI Engineer Location: Remote (UK-based) Type: Permanent | Hybrid or Fully Remote (UK) About the Opportunity If you're the kind of engineer who loves turning cutting-edge AI into real, working features that people actually use - this will be a role worth looking at. You'll be joining a global technology company whose platform … real-world production before anything is made - giving customers data-driven insights on cost, efficiency, and design. Now, the focus is shifting to the next big leap: embedding AI and Generative AI directly into that platform. That's where you come in. What You'll Be Doing This is a hands-on, impact-heavy engineering role. … You'll design, build, and deploy AI-powered capabilities that make a genuine difference to how users interact with the platform - things like intelligent assistants, automated insights, and adaptive recommendations. You'll work alongside product and engineering teams to bring these ideas to life, helping to shape both the technical direction and the AI strategy. Expect More ❯

Senior AI Engineer Location: Remote (UK-based) Type: Permanent | Hybrid or Fully Remote (UK) About the Opportunity If you're the kind of engineer who loves turning cutting-edge AI into real, working features that people actually use - this will be a role worth looking at. You'll be joining a global technology company whose platform … real-world production before anything is made - giving customers data-driven insights on cost, efficiency, and design. Now, the focus is shifting to the next big leap: embedding AI and Generative AI directly into that platform. That's where you come in. What You'll Be Doing This is a hands-on, impact-heavy engineering role. … You'll design, build, and deploy AI-powered capabilities that make a genuine difference to how users interact with the platform - things like intelligent assistants, automated insights, and adaptive recommendations. You'll work alongside product and engineering teams to bring these ideas to life, helping to shape both the technical direction and the AI strategy. Expect More ❯

Senior AI Engineer Location: Remote (UK-based) Type: Permanent | Hybrid or Fully Remote (UK) About the Opportunity If you're the kind of engineer who loves turning cutting-edge AI into real, working features that people actually use - this will be a role worth looking at. You'll be joining a global technology company whose platform … real-world production before anything is made - giving customers data-driven insights on cost, efficiency, and design. Now, the focus is shifting to the next big leap: embedding AI and Generative AI directly into that platform. That's where you come in. What You'll Be Doing This is a hands-on, impact-heavy engineering role. … You'll design, build, and deploy AI-powered capabilities that make a genuine difference to how users interact with the platform - things like intelligent assistants, automated insights, and adaptive recommendations. You'll work alongside product and engineering teams to bring these ideas to life, helping to shape both the technical direction and the AI strategy. Expect More ❯

Senior AI Engineer Location: Remote (UK-based) Type: Permanent | Hybrid or Fully Remote (UK) About the Opportunity If you're the kind of engineer who loves turning cutting-edge AI into real, working features that people actually use - this will be a role worth looking at. You'll be joining a global technology company whose platform … real-world production before anything is made - giving customers data-driven insights on cost, efficiency, and design. Now, the focus is shifting to the next big leap: embedding AI and Generative AI directly into that platform. That's where you come in. What You'll Be Doing This is a hands-on, impact-heavy engineering role. … You'll design, build, and deploy AI-powered capabilities that make a genuine difference to how users interact with the platform - things like intelligent assistants, automated insights, and adaptive recommendations. You'll work alongside product and engineering teams to bring these ideas to life, helping to shape both the technical direction and the AI strategy. Expect More ❯

solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of $13+ billion. Senior AI Developer(Agentic Experience) Role Summary We are seeking an experienced Senior AI Developer. This role focuses on the design, development, and deployment of intelligent autonomous systems that … can reason, plan, and execute complex tasks. The ideal candidate will build production-grade AI solutions that drive significant innovation and efficiency within our global financial services operations. Core Responsibilities Architect Autonomous Agents: Design and implement robust, goal-driven AI agents using leading frameworks like LangChain, LangGraph, and the Google Agent Development Kit (ADK). Develop … Tune & Optimize LLMs: Implement advanced model customization techniques, including PEFT (Parameter-Efficient Fine-Tuning) and QLoRA, to adapt large language models for specialized financial tasks. Deploy Cloud-Native AI Solutions: Build, deploy, and manage scalable AI applications on the Google Cloud Platform (GCP), with a strong focus on Vertex AI services. Build More ❯

solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of $13+ billion. Senior AI Developer(Agentic Experience) Role Summary We are seeking an experienced Senior AI Developer. This role focuses on the design, development, and deployment of intelligent autonomous systems that … can reason, plan, and execute complex tasks. The ideal candidate will build production-grade AI solutions that drive significant innovation and efficiency within our global financial services operations. Core Responsibilities Architect Autonomous Agents: Design and implement robust, goal-driven AI agents using leading frameworks like LangChain, LangGraph, and the Google Agent Development Kit (ADK). Develop … Tune & Optimize LLMs: Implement advanced model customization techniques, including PEFT (Parameter-Efficient Fine-Tuning) and QLoRA, to adapt large language models for specialized financial tasks. Deploy Cloud-Native AI Solutions: Build, deploy, and manage scalable AI applications on the Google Cloud Platform (GCP), with a strong focus on Vertex AI services. Build More ❯

Overview Join Expleo and Lead the Future of AI Transformation Across Industries Are you ready to shape the future of AI across Banking, Insurance, Retail, and Life Sciences? At Expleo, we're looking for a visionary AI Offer Leader to architect and scale AI-driven solutions that transform customer engagement, operational efficiency … and compliance. This is your chance to work at the intersection of enterprise architecture and cutting-edge AI innovation-driving impact across marquee clients and industries. Responsibilities Partner with sales teams to co-create AI offers and support pre-sales activity Deliver presentations and workshops to CxO-level stakeholders, articulating AI's business value … Collaborate with delivery teams to validate solution feasibility and execution models Work closely with the AI CoE in India to design PoCs, demonstrators, and accelerators Architect industry-specific AI solutions in: Banking/Payments: fraud detection, credit scoring, conversational AI, compliance automation Insurance: claims automation, risk modelling, personalised offerings Retail: demand forecasting, customer journey More ❯

Line of Service: Internal Firm Services Industry/Sector: Technology Specialism: Technology Strategy Management Level: Senior Manager About the Role We are looking for an experienced AI Solution Architect who is responsible for designing enterprise AI solutions that align with business objectives while ensuring scalability, security, and efficiency. This role translates business needs into AI-driven architectures (across data ingestion, models and operational workflows), ensuring feasibility, cost-effectiveness, and adherence to industry best practices and firmwide standards. The AI Solution Architect works closely with the sales teams, engineers and stakeholders to define solution plans and roadmaps, select appropriate technologies and models and guide successful implementations. They provide deep experience in designing … Large Language Models/Small Language Models) deployment, fine-tuning, inference optimization, retrieval-augmented generation (RAG), API-based AI deployment and model orchestration. Strong knowledge of Cloud AI & Hyperscalers, including AWS Bedrock, OpenAI, Google Vertex AI, Azure, hybrid and multimodal AI applications. Proficiency in Cloud Security & FinOps, including AI More ❯

Machine Learning Engineer (Conversational AI) Clearance: BPSS Eligible Start: ASAP Work pattern: Hybrid Work type: 12 month FTC (Competitive Salary) Amber Labs are supporting a major government programme focused on transforming public services through the use of AI and automation. This programme is shaping how people interact with digital services across departments — improving accessibility, efficiency, and … user experience. We’re looking for a Machine Learning Engineer (Conversational AI) to help design and build advanced conversational and agentic AI solutions. You’ll work with multi-disciplinary teams to deliver innovative AI-driven tools and services that make a real impact on the public sector. Key Responsibilities: Design and develop conversational AI … accuracy, and cost efficiency. Build evaluation pipelines to ensure model reliability and stability. Develop secure and scalable Python applications and RESTful APIs (FastAPI, Django REST Framework). Integrate AI services and foundation models from providers such as Azure AI , Amazon Bedrock , and Google Vertex AI . Work with vector databases and retrieval More ❯

Architect will assess the maturity and effectiveness of data science practices across teams, focusing on how data science is structured, executed, and governed within the organization. Unlike the AI Architect, who evaluates individual AI capability, and the Data & AI Architect, who focuses on technical systems and platform maturity, this role centers on evaluating analytical … for data science, including reproducibility and collaboration readiness. • Benchmarking: Define benchmarks for best practices in experimentation, automation, and applied machine learning operations (MLOps). • Collaboration & Alignment: Work with AI and Data & AI Architects to connect findings from people, platform, and practice assessments into a unified capability map. • Gap Identification: Identify gaps in model governance, documentation, and … data science, machine learning, or analytics leadership. • Strong understanding of model lifecycle management, experimentation frameworks, and data science governance. • Familiarity with MLOps concepts and tooling (e.g., MLflow, Kubeflow, Vertex AI, SageMaker, Azure ML). • Hands-on experience with data science tools and languages such as Python, R, SQL, and relevant frameworks (e.g., scikit-learn, TensorFlow, PyTorch More ❯

Architect will assess the maturity and effectiveness of data science practices across teams, focusing on how data science is structured, executed, and governed within the organization. Unlike the AI Architect, who evaluates individual AI capability, and the Data & AI Architect, who focuses on technical systems and platform maturity, this role centers on evaluating analytical … for data science, including reproducibility and collaboration readiness. • Benchmarking: Define benchmarks for best practices in experimentation, automation, and applied machine learning operations (MLOps). • Collaboration & Alignment: Work with AI and Data & AI Architects to connect findings from people, platform, and practice assessments into a unified capability map. • Gap Identification: Identify gaps in model governance, documentation, and … data science, machine learning, or analytics leadership. • Strong understanding of model lifecycle management, experimentation frameworks, and data science governance. • Familiarity with MLOps concepts and tooling (e.g., MLflow, Kubeflow, Vertex AI, SageMaker, Azure ML). • Hands-on experience with data science tools and languages such as Python, R, SQL, and relevant frameworks (e.g., scikit-learn, TensorFlow, PyTorch 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 ❯

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 ❯

Architect will assess the maturity and effectiveness of data science practices across teams, focusing on how data science is structured, executed, and governed within the organization. Unlike the AI Architect, who evaluates individual AI capability, and the Data & AI Architect, who focuses on technical systems and platform maturity, this role centers on evaluating analytical … for data science, including reproducibility and collaboration readiness. • Benchmarking: Define benchmarks for best practices in experimentation, automation, and applied machine learning operations (MLOps). • Collaboration & Alignment: Work with AI and Data & AI Architects to connect findings from people, platform, and practice assessments into a unified capability map. • Gap Identification: Identify gaps in model governance, documentation, and … data science, machine learning, or analytics leadership. • Strong understanding of model lifecycle management, experimentation frameworks, and data science governance. • Familiarity with MLOps concepts and tooling (e.g., MLflow, Kubeflow, Vertex AI, SageMaker, Azure ML). • Hands-on experience with data science tools and languages such as Python, R, SQL, and relevant frameworks (e.g., scikit-learn, TensorFlow, PyTorch More ❯

call TCS London Office number 02031552100/+44 204 520 2575 with the subject line: “Application Support Request”. Do you have the expertise in developing and implementing AI solutions? We have a great role for you – AI Engineer! Careers at TCS: It means more TCS is a purpose-led transformation company, built on belief. We … the range of teams within the business to bring products to life. Opportunity to work for one or more large UK & European Banking clients. The Role: As an AI Engineer , you will join our dynamic technology and compliance team, focusing on regulatory adherence and automation of controls within the banking sector. You will be responsible for designing, developing … and deploying AI-powered systems, specifically leveraging Large Language Models (LLMs) on Google Cloud, to detect, interpret, and respond to changes in regulatory policies, ensuring that the controls remain current and effective. Key Responsibilities: Develop and implement AI solutions using LLMs to monitor, parse, and summarise regulatory policy changes from multiple jurisdictions and sources. Automate the More ❯

+ Car Allowance + 18% Bonus + Equity Are you an accomplished product leader ready to define how world-class compute, infrastructure, and DevOps platforms power AI and scientific discovery at global scale? We’re partnering with a pioneering research-driven organisation investing heavily in AI, ML, and next-generation cloud infrastructure , now seeking a Director … a portfolio that underpins one of the world’s most advanced digital R&D ecosystems. 💡 Why this role? Lead the product strategy and roadmap for platform services enabling AI, ML, and data-driven science. Build and mentor a team of high-performing Product Managers , setting standards for excellence and delivery. Collaborate with engineering, data science, and research leaders … be doing: Defining and executing the platform product roadmap across compute, DevOps, and cloud infrastructure. Partnering with engineering leadership to deliver scalable platform products that enable scientific and AI workloads. Establishing clear goals, metrics, and success criteria for adoption, performance, and business impact. Acting as the senior stakeholder interface, communicating technical strategies to executive and business audiences. Driving More ❯