1 to 25 of 62 Vertex AI Jobs in London

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. 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 ❯

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 ❯

Senior AI Engineer Location: Belfast or 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 … 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: Belfast or 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 … 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: Belfast or 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 … 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: Belfast or 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 … 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: Belfast or 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 … 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 It is crucial that the candidates have experience with the Agentic AI framework, specifically with tools like LangGraph and Google ADK. These … skills are essential for the role. 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 and Evaluate RAG Pipelines: Engineer and optimize end-to-end Retrieval-Augmented Generation (RAG) systems, including data ingestion, chunking strategies, and implementing rigorous pipeline evaluation frameworks for accuracy and performance. 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 It is crucial that the candidates have experience with the Agentic AI framework, specifically with tools like LangGraph and Google ADK. These … skills are essential for the role. 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 and Evaluate RAG Pipelines: Engineer and optimize end-to-end Retrieval-Augmented Generation (RAG) systems, including data ingestion, chunking strategies, and implementing rigorous pipeline evaluation frameworks for accuracy and performance. 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 ❯

AI Prompt Engineer, Technically Sharp & Systems-Minded Deesign and optimize prompts, architect LLM-powered systems and deploy scalable GenAI workflows that connect people and intelligent systems in new, high-impact ways. THE ROLE Prompting & Reasoning Systems Design, test and optimize prompts for leading frontier models (GPT-4/5, Claude 3.x, Gemini 2.x, Mistral Large, LLaMA 3, Cohere … optimization, chunking strategies and evaluation harnesses. Develop APIs, microservices and serverless workflows for scalable deployment. ML/LLM Engineering Work with AI+ML pipelines through Azure ML, AWS SageMaker, Vertex AI, Databricks, or Modal/Fly.io for lightweight LLM deployment. Utilize vector databases (Pinecone, Weaviate, Milvus, ChromaDB, pgVector) and embedding stores. Use AI-powered dev … adaptability and a drive to stay ahead of rapid advancements in GenAI. BENEFICIAL Experience with PromptOps & LLM Observability tools (PromptLayer, LangFuse, Humanloop, Helicone, LangSmith). Understanding of Responsible 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 ❯

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 ❯

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 ❯

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 ❯

Role: Gen AI Engineer Location: Remote Contract: 06 Months Rate: 450-500 GBP Per Day Inside IR35 MAX The Gen AI Engineer will be a specialized type of artificial intelligence professional, focused on designing, developing & implementing generative AI models and algorithms. Working collaboratively with the team to ensure project deadlines are met. Design, prototype … and deploy Generative AI models (LLMs, Transformers, Diffusion models) for enterprise use cases. Build and fine-tune LLM-based applications (chatbots, summarization, document Q&A, report generation, code assistants, etc.). Apply prompt engineering, RAG (Retrieval-Augmented Generation), and context-aware pipelines to ensure accuracy and relevance. Integrate AI models with enterprise systems, APIs, and data … stores using Python, Java, or Node.js backends. Collaborate with architects to define scalable and secure AI service architectures. Experience in the following Implementing AI/ML pipelines for model training, validation, and deployment (using tools such as MLflow, Vertex AI, or Azure ML). Manage model evaluation, drift monitoring, and continuous improvement 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯