51 to 75 of 76 Vertex AI Jobs in England

AI/ML Engineer (Generative AI/LLMs) Location: Fully Remote (UK-based) The Role We're hiring a Senior Machine Learning Engineer to lead the design and production of Generative AI and Large Language Model (LLM) applications. This role sits at the heart … 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/ML Engineer (Generative AI/LLMs) Location: Fully Remote (UK-based) The Role We're hiring a Senior Machine Learning Engineer to lead the design and production of Generative AI and Large Language Model (LLM) applications. This role sits at the heart … 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/ML Engineer (Generative AI/LLMs) Location: Fully Remote (UK-based) The Role We're hiring a Senior Machine Learning Engineer to lead the design and production of Generative AI and Large Language Model (LLM) applications. This role sits at the heart … 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/ML Engineer (Generative AI/LLMs) Location: Fully Remote (UK-based) The Role We're hiring a Senior Machine Learning Engineer to lead the design and production of Generative AI and Large Language Model (LLM) applications. This role sits at the heart … 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/ML Engineer (Generative AI/LLMs) Location: Fully Remote (UK-based) The Role We're hiring a Senior Machine Learning Engineer to lead the design and production of Generative AI and Large Language Model (LLM) applications. This role sits at the heart … 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/ML Engineer (Generative AI/LLMs) Location: Fully Remote (UK-based) The Role We're hiring a Senior Machine Learning Engineer to lead the design and production of Generative AI and Large Language Model (LLM) applications. This role sits at the heart … 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/ML Engineer (Generative AI/LLMs) Location: Fully Remote (UK-based) The Role We're hiring a Senior Machine Learning Engineer to lead the design and production of Generative AI and Large Language Model (LLM) applications. This role sits at the heart … 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. ...

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. ...

Role/Job Title: AI ML Engineer Work Location: London Office Requirement (Hybrid): 2 times/week Any Other Working Conditions (Travel/On-call/Shifts): May require travel to other Llyods Office on demand (will be reimbursed) The Role This is for an Agentic AI … Role in Lloyds Banking Group . Key Responsibilities Build scalable data pipelines and workflows on GCP (Big Query, Vertex AI, Dataflow, Pub/Sub, Redis and NoSQL Databases, maintaining chat history, etc.) Implement best practices for data governance, security, and MLOps on GCP Optimize model performance ...

Agentic AI Developer 6-month contract - Inside IR35 - day rate negotiable London based - hybrid working - 2/3 days on site Job Description Summary Join our global Centre of Excellence as an AI Developer, contributing to the design, development, and deployment of intelligent agentic AI … solutions across the organization and our clients. As part of a collaborative, cross-functional team, you will work alongside AI Engineers, Data Engineers, and Automation Engineers to deliver innovative, scalable solutions that drive measurable business impact. This hands-on role requires robust software development skills, a solid foundation ...

Robert Half Technology are assisting a market leading financial services (fintech) organisation to recruit a AI Engineer on a contract basis - Hybrid working - London based The AI Engineer will join a cross-functional data team to design, develop, and deploy AI/ML models … decision intelligence. You'll play a hands-on role in taking models from concept to production and shaping best practices across the AI lifecycle. Role The AI Engineer will build and deploy scalable machine learning models in a cloud-native environment (AWS, GCP or Azure) Collaborate ...

Visualise data through clear, engaging dashboards and presentations. Work collaboratively with engineers, analysts, and business leaders to deliver impactful projects. Develop and enhance AI/ML tools, including Google Vertex AI and Azure ML. Stay up to date with emerging tools, technologies, and best ...

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 ...

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 ...

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 like 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. ...

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 ...

Role/Job Title: AI ML Engineer Work Location: London Office Requirement (Hybrid): 2 times/week Any Other Working Conditions (Travel/On-call/Shifts): May require travel to other Llyods Office on demand (will be reimbursed) The Role This is for an Agentic AI … Role in Lloyds Banking Group . Key Responsibilities Build scalable data pipelines and workflows on GCP (Big Query, Vertex AI, Dataflow, Pub/Sub, Re click apply for full job details ...

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 ...

Agentic Consulting Engineer Remote First, some trips to client offices and HQ Lead the design and delivery of complex, AI-native client engagements, spanning agentic systems, retrieval architectures and semantic layers. This is a senior, hands-on consulting role combining deep technical leadership with strong client presence, shaping … both client outcomes and the firms long-term AI engineering capability. As client demand for AI-native transformation accelerates, the consulting practice is expanding its engineering capability across agentic systems, retrieval, ontologies and AI-enabled execution. The Consulting Engineer is a hands-on AI ...

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. ...

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 ...

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 ...

deploy containerised models and support production ML workflows Working with product and risk stakeholders to identify and shape high value ML and AI use cases Operating within a clear model risk and governance framework, with room to experiment and learn Presenting findings in plain language and helping … Experience of the ML lifecycle, ideally including production or near production environments Exposure to modern cloud and analytics tooling, for example BigQuery or Vertex, and BI tools Interest in credit cards or consumer lending, and how ML and AI can improve fairness and outcomes You will ...