7 of 7 Remote/Hybrid Vertex AI Jobs in England

Senior AI Consultant - Agentic AI & Generative AI £60,000 - £80,000 base + bonus, training and a strong benefits package | Hybrid working | Office base of your choice: London, Manchester or Glasgow | Full time, permanent If you want to build intelligent systems that actually make … highly regarded transformation consultancy where strategy, science, creativity and engineering meet, working with major public and private sector clients on Generative and Agentic AI solutions that deliver visible, real-world impact. You'll be part of a genuinely tech-obsessed team that experiments freely, works with the newest ...

months Outside IR35 - Competitive Rate Fully Remote - UK based Fruition Group are representing a rapidly growing technology consultancy, come join an ambitious Google AI & Data practice , working directly with start-ups, scale-ups, mid-sized organisations and major retail customers. You'll be hands-on with customers, owning … based for tax purposes If you're a hands-on AI/Data Engineer looking to work on cutting-edge Google AI projects and join a practice at the start of an ambitious growth journey, we'd love to hear from you. We are an equal ...

technology created with purpose. We’re looking for GenAI/Agentic Engineers who want to shape the future of Machine Learning, Generative AI and Agentic AI. You will be tasked with building and deploying intelligent systems that combine cutting-edge models, agentic frameworks, and full-stack engineering … solve real business problems. If you’re excited by rapid prototyping, scaling AI products into production, and using technology to make a tangible impact, this is your place to do it. YOUR ROLE In this position you will play a key part in: Designing, developing, testing, and deploying ...

Lead or Senior Data & AI Solutions Architect | Fully Remote (UK) | Up to £130k DOE The opportunity We're working with a business that has won AWS Partner of the Year in the UK and Google Partner of the Year for Europe. We have worked exclusively with them … coming from Google is weighted towards AI. The work Own client projects end to end, as the go-to person for data and AI Face the client as an architect, and build out the solutions you design Help shape the AI landscape within the Google practice ...

client who looking for 2x Machine Learning Engineers to expand their existing engineering team - this will be to support the delivery of advanced AI solutions. The requirement is for talented Machine Learning Engineers with excellent Python development skills and the ability to take ownership of the entire machine … 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 ...

hands-on role where you'll work across Commercial, Marketing, Product and Engineering teams to develop and deploy machine learning and AI solutions that deliver measurable business impact. Key Responsibilities Own end-to-end ML projects, from problem definition and model development through to production deployment, monitoring … MLOps, model monitoring, statistical modelling and experimentation. Practical experience developing GenAI/LLM applications. Experience with cloud-based ML platforms, ideally GCP/Vertex AI. Familiarity with Docker, Git, CI/CD and software engineering best practices. Strong stakeholder management skills and a commercially driven mindset. Desirable: Experience ...

insurance sector. Key Responsibilities Shape Go to Market Propositions Contribute to evolution of our Insurance Technology Consulting propositions by embedding modern data, analytics & AI capabilities into market-facing solutions. Collaborate with Insurance and Technology Consulting leaders to develop differentiated data-led propositions. Apply emerging data capabilities to strengthen … Rating, Actuarial and Reserving, Capital Modelling, Finance and Regulatory Reporting. Candidates must be able to demonstrate how modern data platforms, governance, analytics, and AI capabilities can support decision-making and operational improvement within these domains. Data & Technology Expertise Data Infrastructure & Platform Architecture: Strong understanding of modern cloud-native ...