26 to 50 of 69 Vertex AI Jobs in England

I'm hiring for an AI project focused on Agentic AI systems deployed on Google Cloud Platform (GCP). This is a opportunity to work with a forward-thinking consultancy delivering real-world AI solutions to public and private sector clients. Details- Proven experience building Agentic AI systems (e.g. autonomous agents, multi … agent orchestration, tool use, memory, planning) Strong hands-on skills in Python, LLMs, RAG, and LangChain or similar frameworks Deep understanding of GCP services: Vertex AI, BigQuery, Cloud Functions, Pub/Sub, etc. Experience with batch and real-time data pipelines Familiarity with AI assurance, governance, or ethical AI is a bonus More ❯

leadership, data engineering, infrastructure and DevOps, data/metadata/knowledge platforms, and GenAI/ML, compute, and analysis platforms. We're seeking a highly skilled Director for AI/ML, Compute, Infra & DevOps Platforms products. In this role you will develop the product strategy for our core developer platforms, combine technical depth with strategic vision, and lead … teams to drive product success in a cutting edge R&D setting. Key Responsibilities Develop and execute a comprehensive product strategy for our platform products, including AI/ML, GenAI, Compute/Analytics, Cloud/Physical Infrastructure, and DevOps platforms. Define and prioritize features, enhancements, and functionalities based on user analysis, customer feedback, and business requirements. Plan and … services. Hands on experience with DevOps and engineering tools (GitLab, GitHub, Azure DevOps, Docker, Kubernetes). Proficiency with AI/ML and MLOps platforms (Databricks, Google Cloud Vertex AI, SageMaker). Familiarity with generative AI technologies and frameworks (OpenAI, Google Gemini, Hugging Face Transformers). Demonstrated success in developing and executing product More ❯

innovation, and a commitment to moving fast and delivering real impact. Our Intelligent Automation team is at the heart of this transformation. We're harnessing the power of AI and Generative AI to unlock smarter, faster, and more scalable solutions across the business. We're looking for someone with a proven track record in developing and … deploying machine learning solutions-someone who's ready to take our NLP and Gen AI capabilities to the next level. In this role, you'll be: Designing and building Gen AI application stacks Scaling and maintaining ML pipelines and data transformation workflows Driving ML Ops excellence across the board You'll collaborate closely with architects, senior … at the Service. Key responsibilities Assess and clarify requirements to provide estimate of the work. Working within a distributed team, delivering high quality solution Delivering LLM and Gen AI based automations that supports the business team in enhancing the customer journey Maintaining our existing machine learning pipelines Identifying opportunities for Continuous Improvement and optimizations of existing solutions Input 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

We are looking for a Machine Learning Engineer Location: London Reporting to: Head of AI The role We are looking for a talented Machine Learning Engineer who thrives in environments where reliability, scale, and impact truly matter. At Rightmove, you'll join a close-knit, collaborative AI team that's developing, shipping and operating live ML …/AI services that help Rightmove deliver exceptional experiences and value to consumers, our partners and all our stakeholders across the UK property market. You'll be at the heart of a greenfield opportunity - building, deploying, and operating machine learning systems that leverage Rightmove's data at large scale. You'll have the opportunity to shape best practices … discipline, and help us move from first launches to robust, sustainable production. In this role, you will work in a cross-functional team to productionise machine learning and AI models, ensuring they are robust, scalable, and measurable. You'll collaborate closely with data scientists, engineers, and product teams to automate workflows, monitor performance, and retrain models as needed. More ❯

We are looking for a Machine Learning Engineer Location: London Reporting to: Head of AI The role We are looking for a talented Machine Learning Engineer who thrives in environments where reliability, scale, and impact truly matter. At Rightmove, you'll join a close-knit, collaborative AI team that's developing, shipping and operating live ML …/AI services that help Rightmove deliver exceptional experiences and value to consumers, our partners and all our stakeholders across the UK property market. You'll be at the heart of a greenfield opportunity - building, deploying, and operating machine learning systems that leverage Rightmove's data at large scale. You'll have the opportunity to shape best practices … discipline, and help us move from first launches to robust, sustainable production. In this role, you will work in a cross-functional team to productionise machine learning and AI models, ensuring they are robust, scalable, and measurable. You'll collaborate closely with data scientists, engineers, and product teams to automate workflows, monitor performance, and retrain models as needed. More ❯

We are looking for a Machine Learning Engineer Location: London Reporting to: Head of AI The role We are looking for a talented Machine Learning Engineer who thrives in environments where reliability, scale, and impact truly matter. At Rightmove, you'll join a close-knit, collaborative AI team that's developing, shipping and operating live ML …/AI services that help Rightmove deliver exceptional experiences and value to consumers, our partners and all our stakeholders across the UK property market. You'll be at the heart of a greenfield opportunity - building, deploying, and operating machine learning systems that leverage Rightmove's data at large scale. You'll have the opportunity to shape best practices … discipline, and help us move from first launches to robust, sustainable production. In this role, you will work in a cross-functional team to productionise machine learning and AI models, ensuring they are robust, scalable, and measurable. You'll collaborate closely with data scientists, engineers, and product teams to automate workflows, monitor performance, and retrain models as needed. More ❯

transaction data—powering greater accuracy, efficiency, and transparency across capital markets. As they scale their data and analytics capabilities, the firm is seeking a forward-thinking, technically strong AI & ML Lead to spearhead machine learning strategy, model development, and intelligent automation initiatives across the platform. This role is ideal for someone with a strong ML engineering background, excellent … stakeholder engagement skills, and deep familiarity with financial services data, regulatory logic, or post-trade workflows. Key Responsibilities: Own and evolve the firm’s AI/ML strategy, aligning use cases with product goals and FS client pain points. Lead the development of ML models for classification, anomaly detection, NLP, and predictive analytics using Python, scikit-learn, PyTorch … to translate ambiguous problems into well-scoped ML initiatives. Partner with engineers to embed models into the platform. Stay up to date with industry and academic trends in AI/ML, particularly those applicable to RegTech, financial data analysis, or document intelligence. Produce clear documentation and educate internal teams on the design, purpose, and behaviour of ML systems. More ❯

transaction data—powering greater accuracy, efficiency, and transparency across capital markets. As they scale their data and analytics capabilities, the firm is seeking a forward-thinking, technically strong AI & ML Lead to spearhead machine learning strategy, model development, and intelligent automation initiatives across the platform. This role is ideal for someone with a strong ML engineering background, excellent … stakeholder engagement skills, and deep familiarity with financial services data, regulatory logic, or post-trade workflows. Key Responsibilities: Own and evolve the firm’s AI/ML strategy, aligning use cases with product goals and FS client pain points. Lead the development of ML models for classification, anomaly detection, NLP, and predictive analytics using Python, scikit-learn, PyTorch … to translate ambiguous problems into well-scoped ML initiatives. Partner with engineers to embed models into the platform. Stay up to date with industry and academic trends in AI/ML, particularly those applicable to RegTech, financial data analysis, or document intelligence. Produce clear documentation and educate internal teams on the design, purpose, and behaviour of ML systems. More ❯

transaction data—powering greater accuracy, efficiency, and transparency across capital markets. As they scale their data and analytics capabilities, the firm is seeking a forward-thinking, technically strong AI & ML Lead to spearhead machine learning strategy, model development, and intelligent automation initiatives across the platform. This role is ideal for someone with a strong ML engineering background, excellent … stakeholder engagement skills, and deep familiarity with financial services data, regulatory logic, or post-trade workflows. Key Responsibilities: Own and evolve the firm’s AI/ML strategy, aligning use cases with product goals and FS client pain points. Lead the development of ML models for classification, anomaly detection, NLP, and predictive analytics using Python, scikit-learn, PyTorch … to translate ambiguous problems into well-scoped ML initiatives. Partner with engineers to embed models into the platform. Stay up to date with industry and academic trends in AI/ML, particularly those applicable to RegTech, financial data analysis, or document intelligence. Produce clear documentation and educate internal teams on the design, purpose, and behaviour of ML systems. More ❯

transaction data—powering greater accuracy, efficiency, and transparency across capital markets. As they scale their data and analytics capabilities, the firm is seeking a forward-thinking, technically strong AI & ML Lead to spearhead machine learning strategy, model development, and intelligent automation initiatives across the platform. This role is ideal for someone with a strong ML engineering background, excellent … stakeholder engagement skills, and deep familiarity with financial services data, regulatory logic, or post-trade workflows. Key Responsibilities: Own and evolve the firm’s AI/ML strategy, aligning use cases with product goals and FS client pain points. Lead the development of ML models for classification, anomaly detection, NLP, and predictive analytics using Python, scikit-learn, PyTorch … to translate ambiguous problems into well-scoped ML initiatives. Partner with engineers to embed models into the platform. Stay up to date with industry and academic trends in AI/ML, particularly those applicable to RegTech, financial data analysis, or document intelligence. Produce clear documentation and educate internal teams on the design, purpose, and behaviour of ML systems. More ❯

transaction data—powering greater accuracy, efficiency, and transparency across capital markets. As they scale their data and analytics capabilities, the firm is seeking a forward-thinking, technically strong AI & ML Lead to spearhead machine learning strategy, model development, and intelligent automation initiatives across the platform. This role is ideal for someone with a strong ML engineering background, excellent … stakeholder engagement skills, and deep familiarity with financial services data, regulatory logic, or post-trade workflows. Key Responsibilities: Own and evolve the firm’s AI/ML strategy, aligning use cases with product goals and FS client pain points. Lead the development of ML models for classification, anomaly detection, NLP, and predictive analytics using Python, scikit-learn, PyTorch … to translate ambiguous problems into well-scoped ML initiatives. Partner with engineers to embed models into the platform. Stay up to date with industry and academic trends in AI/ML, particularly those applicable to RegTech, financial data analysis, or document intelligence. Produce clear documentation and educate internal teams on the design, purpose, and behaviour of ML systems. More ❯

systems and infrastructure. Experience with machine learning, C++ and Python. Preferred qualifications: Master's degree in Computer Science or a related technical field. Experience with system design, Generative AI Agent. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our … You will play a pivotal role in building a team to ensure the deployment of GenAI across Google is as easy, economical, and as fast as possible. The AI and Infrastructure team works on the world's toughest problems, redefining what's possible and the possible easy. We empower Google customers by delivering AI and Infrastructure … Googlers, Googler Cloud customers, and billions of Google users worldwide. We're at the center of amazing work at Google by being the "flywheel" that enables our advanced AI models, delivers computing power across global services, and offers platforms that developers use to build services. In AI and Infrastructure, we shape the future of hyperscale computing More ❯

and strategically minded Solutions Architect to drive the technical direction and governance of our core domain initiatives. This role requires a strong blend of modern technology expertise (GCP, AI/ML, Core Banking), rigorous architectural governance, and the ability to influence strategy through commercial acumen and Agile principles. The Solution Architect partners with product and technical teams to … need from you? Industry Experience: Proven track record of architecting within Financial Services or other highly regulated industries. Technical Depth: Desired experience with cloud and modern FinTech/AI solutions (e.g., Vertex AI, Thought Machine, Flowable, or similar Core Banking/Workflow tools). Delivery Mastery: Deep understanding and practical application of Product-oriented More ❯

and strategically minded Solutions Architect to drive the technical direction and governance of our core domain initiatives. This role requires a strong blend of modern technology expertise (GCP, AI/ML, Core Banking), rigorous architectural governance, and the ability to influence strategy through commercial acumen and Agile principles. The Solution Architect partners with product and technical teams to … need from you? Industry Experience: Proven track record of architecting within Financial Services or other highly regulated industries. Technical Depth: Desired experience with cloud and modern FinTech/AI solutions (e.g., Vertex AI, Thought Machine, Flowable, or similar Core Banking/Workflow tools). Delivery Mastery: Deep understanding and practical application of Product-oriented More ❯

traditional manufacturing by providing engineers worldwide with instant access to reliable production methods through our digital platform. As the UK's leading Digital Manufacturing Marketplace, we offer an AI-powered B2B MaaS (Manufacturing as a Service) solution, seamlessly connecting buyers and suppliers to drive efficiency and innovation. With our headquarters in London and quality branches in India, China … creating the world's most innovative products. About the role: This is a hybrid role that combines Data Engineering and Data Science , with a strong focus on applying AI in practical ways . You'll be responsible for everything from ingesting and transforming data to building dashboards, running experiments, and deploying lightweight AI-powered solutions into … with the product and operations teams to solve real business problems fast - with full autonomy and a mandate to make things happen. Important: This is not an academic AI/ML role. You won't be building LLMs from scratch. Instead, you'll use off-the-shelf models, prompt engineering, and smart automation to drive outcomes. Main responsibilities More ❯

Location : Hybrid/London or Peterborough Team : Data & AI Why this role matters At Compare the Market, we're applying AI to real-world problems that help millions of people make smarter financial decisions. As a Machine Learning Engineer, you'll work at the heart of this transformation—building the infrastructure and tooling that enables our … Have Practical experience deploying ML models into production environments Strong Python development skills and understanding of ML model structures Familiarity with tools such as MLflow, Airflow, SageMaker, or Vertex AI Understanding of CI/CD concepts and basic infrastructure automation Ability to write well-tested, maintainable, and modular code Strong collaboration skills and a growth mindset … or workflow engines (e.g. Argo, Airflow) Familiarity with real-time model deployment, streaming data, or event-driven systems (e.g. Kafka, Flink) Interest in MLOps, model governance, and responsible AI practices Understanding of basic model evaluation, drift detection, and monitoring techniques Why Join Us? You'll work on meaningful problems using modern tooling, surrounded by smart, supportive people. We More ❯

hands-on experience using libraries such as Pandas, Scikit-Learn, Jupyter, and Matplotlib. Proficient in SQL for data extraction and transformation. Experience with Google Cloud Platform (GCP) and Vertex AI for developing and deploying ML services is highly desirable. Solid understanding of time series analysis and forecasting techniques. Strong foundation in computer science principles - data structures More ❯

We're partnering with an established AI consultancy seeking a Contract Machine Learning Engineer (NLP) to lead an NLP project for a major utilities client. You'll develop and deploy transformer models, LLMs, and RAG pipelines to extract insights from unstructured data. Remote, outside IR35, £650/day. Contract Machine Learning Engineer (NLP - Utilities Sector) Rate: £650/… day IR35: Outside Location: Remote (occasional travel to Cambridge) Duration: 6 months (initial) Our client is a specialist AI consultancy with a growing client base and an expanding portfolio of project types across multiple industries. As they scale, their internal team is being deployed onto several new accounts - and they're now seeking a Contract Machine Learning Engineer … Face Transformers. Build or enhance retrieval-augmented generation (RAG) systems using LangChain and vector databases like FAISS, Weaviate, or Pinecone. Package and deploy solutions via Docker, Kubernetes, or Vertex AI/SageMaker. Collaborate with internal MLOps and Data Science teams to ensure robustness, monitoring, and CI/CD alignment. Communicate progress clearly with stakeholders and deliver 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 ❯

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 ❯