23 of 23 Vertex AI Jobs in Central 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

+ 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 ❯

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 ❯

related ML frameworks. Strong experience with SQL and BigQuery; familiarity with GCP infrastructure. Comfortable working end-to-end from data exploration through validation and interpretation. Understanding of explainable AI and model governance practices. Exposure to model monitoring and drift detection frameworks. Ability to guide and mentor junior engineers while remaining deeply hands-on. Strong communicator who can bridge … technical and non-technical discussions with credit, risk, and leadership teams. Nice to Have Experience with MLOps tooling (e.g., MLflow, Airflow, Vertex AI, or similar). Familiarity with real-time decisioning systems or lending analytics. What We Offer Ownership of the ML roadmap for a growing fintech with proven traction. Opportunity to shape team direction while More ❯

About Us We are an AI-native, VC-backed startup building a multimodal, proprietary foundation model with a profound understanding of retail, designed to hyper-personalise every shopper touchpoint. As we scale from research to production, we need robust infrastructure that makes our models reliable, reproducible, and observable at scale. As a Senior MLOps Engineer, you will own … serving real users. Strong proficiency in containerisation (Docker, Kubernetes) and orchestration of multi-stage ML workflows. Hands-on experience with ML platforms and tools such as MLflow, Kubeflow, Vertex AI, SageMaker, or similar model management systems. Practical knowledge of infrastructure as code, CI/CD best practices, and cloud platforms (AWS, GCP, or Azure). Experience More ❯

We are working with Fyxer AI, the UK's fastest-growing tech company in the UK, to hire a Senior Data Scientist. Fyxer are building the Cursor for email. Since launching in May 2024, they have gone from $0 to $20m in ARR and raised a $30m Series B from top investors. Hiring small numbers of exceptional people … your own world You work hard, with intensity every day & move incredibly quickly You always challenge the systems you’re in to be better Tech Stack BigQuery GCP Vertex AI Python SQL Compensation and Benefits Up to £140K base salary + equity Private medical and dental insurance Pension 25 days annual leave The opportunity to build … the UK’s fastest-growing AI company with a world-class team Interview Process Initial call with Fyxer team (30 mins) Take-home technical task (60 mins) Final onsite interview (60 mins More ❯

This is a unique opportunity to work at the cutting edge of AI, data technology, and elite football analytics. As a Data Scientist, you’ll join a collaborative, high-performing team with a culture rooted in creativity, innovation, and excellence. In this role, you’ll design and deploy data models that power decision-making across every area of … analysts, and execs Highly Desirable Skills Football Analytics Experience : Familiarity with football-specific datasets (event, tracking, positiona l), and libraries like mplsoccer Advanced MLOps & Modelling : Experience with the Vertex AI ecosystem, especially pipelines, and advanced techniques such as player valuation , tactical modelling , etc. Bayesian Modelling : Knowledge of probabilistic programming (e.g., PyMC ) for uncertainty-aware predictions Stakeholder More ❯

and CI/CD for data systems Highly Desirable Skills GCP Stack: Hands-on expertise with BigQuery, Cloud Storage, Pub/Sub, and orchestrating workflows with Composer or Vertex Pipelines. Domain Knowledge: Understanding of sports-specific data types ( event, tracking, scouting, video ) API Development: Experience building data-centric APIs using FastAPI , especially in serverless environments (e.g., Google App More ❯

and CI/CD for data systems Highly Desirable Skills GCP Stack: Hands-on expertise with BigQuery, Cloud Storage, Pub/Sub, and orchestrating workflows with Composer or Vertex Pipelines. Domain Knowledge: Understanding of sports-specific data types ( event, tracking, scouting, video ) API Development: Experience building data-centric APIs using FastAPI , especially in serverless environments (e.g., Google App More ❯

just context for a tech agnostic individual at this level) Node.js/JavaScript Go, Python (selective use) Docker, Terraform GitLab Google Cloud (GCE, Cloud Run, BigQuery, Composer, ...) LLM (VertexAI) n8n Cavendish (Recruitment) Professionals Ltd are proud to be an equal opportunity employer and we believe that inclusivity begins with the candidate experience. All qualified applicants will receive consideration for More ❯

Role Overview: We are looking for a talented and passionate Senior Data Engineer to join our team. In this role, you'll be at the heart of our AI pipeline, ensuring seamless integration, scalability, and reliability of our data processes. Key Responsibilities and Skills: - Integrate and Scale: Extend, scale, monitor, and manage our ever-growing pile of 100s … of integrations. Ensure they are reliable and responsive. - Own the Integrations: Implement new connections and be the master and owner of these integrations. - Optimize AI Pipelines: Ensure our AI pipeline works like clockwork. Improve and support its complex infrastructure. - ML Experience: Practical experience with ML, including classification, clustering, time series forecasting, and anomaly detection. You need … production services or APIs. Experience with third-party APIs is essential. - Data Pipelining: Experience with SQL, ETL, data modeling. Experienced with the lifecycle of building ML solutions - Speak AI language: Understand the fundamentals of ML/AI and communicate effectively with AI and Data Scientists. - Infra: Deep Knowledge of Docker, Git, cloud networking, and More ❯

Microsoft BI Stack: SSIS, SSRS - Strong SQL Server skills and SQL querying experience - Hands-on experience with Google Cloud Platform tools including: BigQuery; Composer; Apache Airflow; Stream; Informatica; Vertex AI - Tableau dashboard development and reporting - Python programming for data analysis - Data modelling (warehouse, lakehouse, medallion architecture) - Understanding of financial and insurance data models - Insurance experience, ideally More ❯

month rolling contracts. Rate negotiable but upwards of 600 p/d. Looking for people with the following skillset: Python, Pytorch, Tensorflow, Langgraph, Langchain, CrewAI, LlamaIndex etc ML Ops VertexAI Prompt Engineering Apply through this advert or email jack.herbert@oliverbernard.com for more info. More ❯