21 of 21 Vertex AI Jobs in London

integrations — delivering real-time and historical analytics that improve customer experience and business performance. We are expanding our platform to include advanced AI capabilities — voice and chat assistants, intelligent analytics, and predictive insights — and are seeking an AI Engineering Lead to define and deliver this vision. … understanding of prompt engineering and fine-tuning of large language models. Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI). Experience deploying and monitoring AI ...

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 ...

Senior Machine Learning Engineer (Generative AI/LLMs) Location: Fully Remote (UK-based) Salary: £75,000 - £100,000 (depending on experience) The Role We're hiring a Senior Machine Learning Engineer to lead the design and productionisation of Generative AI and Large Language Model (LLM) applications. … monitor LLM quality, hallucinations, token usage, and content safety. Develop and deploy autonomous or semi-autonomous agents using modern agent frameworks and Google AI tooling. Collaborate with product and engineering teams to translate complex business requirements into ML-driven solutions. Monitor, optimise, and continuously improve models in live ...

AI Prompt Engineering Consultant, 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 … 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. ...

Senior Machine Learning Engineer (Generative AI/LLMs) Location: Fully Remote (UK-based) Salary: £75,000 – £100,000 (depending on experience) The Role We're hiring a Senior Machine Learning Engineer to lead the design and productionisation of Generative AI and Large Language Model (LLM) applications. … monitor LLM quality, hallucinations, token usage, and content safety. Develop and deploy autonomous or semi-autonomous agents using modern agent frameworks and Google AI tooling. Collaborate with product and engineering teams to translate complex business requirements into ML-driven solutions. Monitor, optimise, and continuously improve models in live ...

Staff React Engineer (TypeScript + AI Experience) We are: Wizeline, a global AI-native technology solutions provider, develops cutting-edge, AI-powered digital products and platforms. We partner with clients to leverage data and AI, accelerating market entry and driving business transformation. … applications using React and TypeScript . Define and execute the front-end technical strategy , ensuring scalability, performance, and alignment with product and AI goals. Collaborate closely with AI engineers, data scientists, designers, and product managers to deliver intelligent, data-driven user experiences. Integrate AI ...

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 … 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 ...

platform (e.g. Backstage IDP) for Cloud Engineering. Good to have understanding on GCP Data Products - Cloud SQL, GCS, PubSub, Dataflow, BigQuery, Vertex AI Technologies - GCP DevOps, CI/CD, Terraform (IaaC), Google Cloud, Jenkins, Harness, Python Products - GCP Data Products, Cloud SQL, GCS, PubSub, Dataflow, BigQuery … Vertex AI ...

Role - Senior Forward Deployed Engineer (AI‐Native) – Industry Principal Technology - LLMs, agentic coding systems, intelligent IDEs, AI development platforms Location - London (global travel as required) Compensation - Competitive (including bonus) Job Description Today, the corporate landscape is dynamic and the world ahead is full of possibilities! None … people. Your role In the role of Senior Forward Deployed Engineer (FDE) , You will anchor pods, set technical vision, and operationalize modern AI (LLMs, agentic systems, intelligent IDEs) to transform engineering workflows and outcomes. The role blends deep technical leadership with executive engagement and end‐to‐end delivery ...

Lead AI Solutions Architect 6 Month initial contract (Hybrid/London) Up to 750 per day Inside IR35 Government client Overview We are seeking a highly experienced Lead AI Solutions Architect to spearhead the design and implementation of scalable AI solutions and develop Target … Operating Models (TOMs) that align with strategic goals. This role is pivotal in accelerating the adoption of transformative AI tools across government departments, ensuring ethical, secure, and impactful delivery. Key Responsibilities Architect enterprise-level AI frameworks and solutions. Design and implement Target Operating Models for AI ...

specialising in strategy and development of client solutions across GMP, GCP, and Google AI. We harness the power of cloud technology, data and AI to craft compelling, future-ready solutions that drive growth for our clients. Our teams provide cutting-edge data and AI services that … Retail. This role requires a proven track record in strategic sales, market entry planning, and closing high-value, complex Data and AI solutions. You will own the entire sales motion within designated new markets, from defining the segmentation strategy and building the pipeline to leading deal execution ...

customer data. Key Responsibilities: Define and execute the go-to-market strategy for the Analytics practice, positioning them as a leader in AI-driven analytics solutions built on the Google Cloud, Marketing and AI ecosystem. Own the commercial targets for the Analytics practice, driving a pipeline … high-value solutions like conversational analytics and advanced analytics. Develop and implement tailored client strategies to expand our services, demonstrating how leveraging AI with their existing data can solve core challenges and drive proactive, data-driven decision making. Act as the senior subject matter expert and strategic advisor ...

Role: AI Engineer/AI Architect Location: London, Edinburgh Career Level: Manager Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership … live. It is personal to all of us.” – Julie Sweet, Accenture CEO As a team: Working across industry groups, our Centre for Advanced AI team combines deep technology, business and industry expertise to design and deliver some of the largest, most challenging and highest profile technology solutions ...

with containerization tools like Docker and orchestration tools like Airflow or Astronomer Familiarity with cloud platforms (AWS, Azure) and ML services (e.g., SageMaker, Vertex AI) Experience with CI/CD pipelines and automation tools such as GitHub Actions Understanding of monitoring and logging tools (e.g., NewRelic … experience deploying ML models in production environments Knowledge of infrastructure-as-code tools like Terraform or CloudFormation Familiarity with model interpretability and responsible AI practices Experience with feature stores and model registries ...

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 … 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 ...

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 ...

designing scalable templates and implementing automation solutions.This role ensures seamless integration across creative workflows (DAM and Workfront tools), leverages advanced tools including generative AI, and supports cross-functional collaboration to optimise asset creation, localisation, and distribution.Job Description:Design and maintain scalable templates for global marketing assets (static/… Workfront and other process automation systems.Manage asset distribution and synchronisation, coordinating with QC, transcreation, and localisation teams, as well as external agencies.Leverage generative AI tools (e.g., Adobe Firefly API services, Google Vertex AI, etc.) to enhance content creation and drive efficiency in asset production.Collaborate ...

scalable templates and implementing automation solutions. This role ensures seamless integration across creative workflows (DAM and Workfront tools), leverages advanced tools including generative AI, and supports cross-functional collaboration to optimise asset creation, localisation, and distribution. Job Description: Design and maintain scalable templates for global marketing assets (static … other process automation systems. Manage asset distribution and synchronisation , coordinating with QC, transcreation, and localisation teams, as well as external agencies. Leverage generative AI tools (e.g., Adobe Firefly API services, Google Vertex AI, etc.) to enhance content creation and drive efficiency in asset production. ...

Million or more . Bonus Analytical Skills (The 'Unicorn') Experience with advanced data analytics and BI tools, including BigQuery and/or Vertex . Ability to contribute to new reporting infrastructure and strategic business planning. Randstad Technologies is acting as an Employment Business in relation to this vacancy. ...

bold ambitions and a clear mandate to move quickly. A key part of this journey is the Intelligent Automation function, which is delivering AI and GenAI-driven optimisation across core services. This is a fantastic chance to join a growing team where your work will be visible, meaningful … NoSQL databases. Hands-on ownership of CI/CD (Jenkins/Azure DevOps/GitHub Actions) and MLOps in Azure ML/Azure AI Foundry/SageMaker/Vertex AI. Working knowledge of Infrastructure as Code (Bicep, ARM, Terraform). A test-driven development mindset ...

client are a private equity backed firm who are looking for a Deep AI/Agentic Engineer to lead the design and delivery of the organisations complex AI-native engagements, from agentic systems to semantic layers. Pair hands-on technical leadership with client trust, shaping both … enterprise outcomes and the firm’s long-term engineering capability. Responsibilities: You will design and build production-grade AI systems across: LLM applications using modern orchestration patterns, prompt frameworks, and evaluation loops. Multi-agent architectures , including planning, delegation, safety constraints, and monitoring. Retrieval & vector-based systems , embeddings, structured ...