21 of 21 Vertex AI Jobs in London

We are looking for a GCP Architect with hands-on experience designing and delivering Vertex AI-based solutions. The role focuses on practical architecture, solution design, and guiding engineering teams to build ML, GenAI, and data-driven applications on Google Cloud. You should be strong in GCP fundamentals, comfortable working with AI/ML … workflows, and confident in translating business needs into technical architectures that can be delivered reliably. Responsibilities Design AI/ML and GenAI solution architectures on GCP using Vertex AI , BigQuery, Cloud Run, Cloud Functions, and GCS. Set up and configure Vertex AI components (Workbench, Pipelines, Model Registry, Feature Store, Vector … teams to design ML workflows, including data ingestion, preprocessing, model development, deployment, and monitoring. Support the build of prompt-based, RAG, and LLM-driven applications using Gemini and Vertex AI Generative AI features. Collaborate with data engineering teams to integrate models with BigQuery and other GCP data services. Build MLOps pipelines using Cloud Build More ❯

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

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

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

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

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

we grow, we are always looking for extraordinary talent who want to be part of this our success and help drive our limitless ambitions. About the role The AI & ML Engineering team accelerates the adoption of AI across the business, championing innovation while ensuring our machine learning products are robust, scalable, and cost-efficient. We enable … teams to solve problems using existing AI tools where possible and build custom solutions when needed. Our remit spans AI enablement, agentic systems development, and "conventional" ML engineering for non-GenAI applications 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 ❯

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

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

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

We are seeking an AI Solutions Architect to work with our in-house AI platform, AVA+ and tailor it to our clients' needs. You will be responsible for designing, implementing, and deploying AI solutions that integrates seamlessly with existing systems while ensuring optimal performance and scalability. You will collaborate with cross-functional teams to … translate business requirements into technical specifications, ensuring that AI initiatives align with the overall strategic goals of our clients. Key Responsibilities: Work with Sales teams in a technical pre-sales and delivery capacity. Lead the architecture and design of AI solutions. Work closely with clients to understand their business challenges and translate these into effective AI strategies. Collaborate with software engineers and data scientists to drive the full lifecycle of AI solutions from concept and architecture to production deployment. Ensure that AI solutions are scalable, maintainable, and adhere to security best practices. Provide technical leadership and mentorship to teams across the organization. Stay updated with the latest trends and advancements More ❯

Group Holdings, LLC ("TWG Global"), we drive innovation and business transformation across a range of industries, including financial services, insurance, technology, media, and sports, by leveraging data and AI as core assets. Our AI-first, cloud-native approach delivers real-time intelligence and interactive business applications, empowering informed decision-making for both customers and employees. We … prioritize responsible data and AI practices, ensuring ethical standards and regulatory compliance. Our decentralized structure enables each business unit to operate autonomously, supported by a central AI Solutions Group, while strategic partnerships with leading data and AI vendors fuel game-changing efforts in marketing, operations, and product development. You will collaborate with management to … will act as a technical thought leader and strategic partner, shaping the organization's machine learning engineering practices and fostering a culture of operational excellence, reliability, and responsible AI adoption. Responsibilities: Architect and deploy ML systems and platforms that solve high-impact business problems across regulated enterprise environments. Lead the development of production-ready pipelines, including feature stores More ❯

Full Stack AI Engineer - Agent Prototyping & Development We are seeking a Full Stack AI Engineer to rapidly architect, prototype, and deploy cutting-edge conversational AI agent systems for e-commerce. You'll build scalable proof-of-concepts at speed, implement multi-modal AI pipelines, and develop production-ready systems with modern web … for inventory queries, price comparisons, order management, store control, and personalised product recommendations Multi-modal Shopping Experiences: Engineer responsive web applications integrating LLM and VLM models for conversational AI experiences, build intuitive frontend interfaces for product image and description analysis, develop voice-enabled conversational commerce features, and create seamless user experiences across web and mobile platforms E-Commerce … testing for e-commerce workflows, real-time monitoring dashboards for conversion rates and performance optimisation, and maintain both frontend and backend deployment pipelines Skills & Qualifications 3+ years in AI/ML engineering with rapid prototyping experience in conversational AI systems, agent architectures, or fast-paced ML deployment environments, ideally with e-commerce exposure and full stack More ❯

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

Role: Lead Data Scientist Location: London (3 days per week onsite) Salary: £98,000 + Bonus Start Date: ASAP A leading AI-driven insights and analytics business is seeking a Lead Data Scientist to play a pivotal role in shaping the organisation's data strategy. You'll lead complex data science projects from inception to deployment while mentoring … of analysts and data scientists. This company combines qualitative research with quantitative data science to uncover the attitudes and behaviours driving customer decisions. The team leverages technology and AI to enhance, not replace, human creativity and insight. Responsibilities - Lead end-to-end execution of complex data science projects integrating statistical modelling, machine learning (ML), and deep learning (DL … architectures. - Establish modelling frameworks with statistical quality control, detecting drift and decay. - Drive best practices for model explainability (e.g., SHAP/LIME) and scalable ML systems (including generative AI, NLP, CV, and recommendation engines). - Partner with engineering teams to ensure robust deployment and adherence to MLOps principles. - Shape and consult on broader data strategy and infrastructure. - Mentor More ❯

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

+ 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 ❯

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 ❯

day overall assignment rate to umbrella Fully remote 3-6 month initial Apply today to join a forward-thinking, tech-driven FTSE 100 organisation using data science and AI to enhance customer experience, optimise supply chains and drive sustainable growth. With 40% of sales from sustainable products, this is a company that combines scale, innovation and purpose. As … Engineer. Technical Skills: Strong in SQL and Python (Pandas, Scikit-learn, Jupyter, Matplotlib). Data transformation & manipulation : experience with Airflow, DBT and Kubeflow Cloud: Experience with GCP and Vertex AI (developing ML services). Expertise: Solid understanding of computer science fundamentals and time-series forecasting. Machine Learning: Strong grasp of ML and deep learning algorithms (e.g. More ❯

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

Technical Lead (AI & Fintech | London | Hybrid) Hyre AI is hiring on behalf of a VC-backed fintech building an AI-driven platform that transforms how investors access and manage alternative assets. The company has secured funding from leading investors and is now entering a major build-and-scale phase. We're looking for a … to help architect, build and scale a next-generation investment intelligence platform. Role Overview You'll be the technical spearhead for an ambitious product at the intersection of AI and finance. You'll stay close to the code while shaping architecture, mentoring future team members and delivering high-impact features across the stack. Key Responsibilities Architect and lead … the build of an AI-driven investment intelligence platform Write production-grade code across backend, frontend, infrastructure and AI integrations Collaborate with CTO, product and data teams to deliver intelligent automation workflows Build, mentor and develop a high-performing engineering team Lead technical strategy, ensuring scalability, security and high-quality delivery Explore and implement emerging AI More ❯