17 of 17 Remote/Hybrid Vertex AI Jobs in the UK

customer demand and project requirements. Reporting to the VP of Platform Engineering, you will design and build the Google Cloud platform that enables AI agents to securely interact with enterprise ERP systems. This role combines deep GCP expertise with modern AI platform e ngineering, enterprise integration … cloud architecture. Essential Responsibilities GCP AI & Platform Engineering: Design and implement production AI agents using Vertex AI Agent Builder. Build retrieval, vector search and knowledge architectures using Vertex AI, BigQuery and Cloud SQL/AlloyDB. Integrate Gemini ...

customer demand and project requirements. Reporting to the VP of Platform Engineering, you will design and build the Google Cloud platform that enables AI agents to securely interact with enterprise ERP systems. This role combines deep GCP expertise with modern AI platform e ngineering, enterprise integration … cloud architecture. Essential Responsibilities GCP AI & Platform Engineering: Design and implement production AI agents using Vertex AI Agent Builder. Build retrieval, vector search and knowledge architectures using Vertex AI, BigQuery and Cloud SQL/AlloyDB. Integrate Gemini ...

Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. Your Role As an AI Tokenomics Consultant/Senior Consultant, you will have a developing understanding of AI technologies, cloud-based AI services … financial implications of token-based consumption. They will use their analytical skills to monitor, report and optimise AI usage and cost data, supporting organisations as they extend FinOps practices into the emerging field of AI Tokenomics. AI Tokenomics is an emerging discipline focused ...

Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. Your Role As an AI Tokenomics Managing Consultant, you will be responsible for leading the development, delivery and continual improvement of AI Tokenomics capabilities. They will help … organisations understand, govern and optimise token-based AI consumption, connecting AI usage, cost, efficiency and business value across generative and agentic AI workloads. AI Tokenomics is an emerging extension of FinOps focused on the economics of AI consumption, where tokens ...

member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About the Role Lead AI Engineer We’re seeking a Lead AI Engineer who can design, build, and operationalise advanced AI, Machine Learning, and Generative … AI systems at enterprise scale. The focus of this role is to bridge the gap between AI prototypes and embedding data and AI solutions in business. You’ll scale AI solutions responsibly and reliably, ensuring they move from lab to live ...

specialized role focused on designing and implementing autonomous network use-case solutions for mobile & fixed telecommunications environments, network programmability, APIs, scalable AI architectures, and token-efficient agentic systems using modern AI frameworks (Google Vertex AI or similar, LangGraph, LangChain). Your Profile … other modern APIs Autonomous Networks : Demonstrated expertise in self-optimizing/self-healing network implementations Portfolio of successful autonomous network use cases Agentic AI & Data Optimization : Data correlation and entity relationship mapping Data quality assessment and cleansing methodologies Token optimization techniques for LLM-based agents Resource-constrained AI ...

clients. To meet our client's needs, you will be security clearable. Requirements We are seeking a talented and ambitious Data & AI Engineer to join our growing capability. In this role, you will be at the forefront of designing and building next-generation AI solutions … extraordinary impact in a dynamic and collaborative consulting environment. What You'll Do Design, build, and deploy robust, scalable, and end-to-end AI & Data solutions. Collaborate directly with clients to understand their challenges, identify opportunities, and translate business requirements into tangible AI or advanced analytics ...

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 ...

work with a range of UK employers actively hiring across these roles About the Roles We're looking for experienced AI and Machine Learning Engineers at all levels—from AI Engineer and ML Engineer through to Senior, Lead, Applied Scientist and Research Engineer positions—for upcoming … roles across applied machine learning, generative AI, MLOps and model productionisation. These are hands-on engineering roles where you'll build, train, ship and operate the models that drive real product behaviour and real business outcomes. You'll work across the full ML lifecycle—from problem framing ...

tenders (RFPs/tenders). Experience in independently conducting product demonstrations and technical workshops. Solid knowledge of cloud platforms (AWS, Azure, GCP) and AI/ML services (e.g. SageMaker, Vertex AI, Azure ML), including sovereign, on-premise and hybrid deployment models. Proficiency in MLOps … tools and practices: CI/CD, monitoring and orchestration frameworks (e.g. Kubeflow, Flyte, MLflow). Good knowledge of Docker and Kubernetes for containerizing AI workloads. Understanding of LLM inference stacks (vLLM, llama.cpp, OpenVINO) and model deployment formats (ONNX, .safetensors, Hugging Face Model Hub). Experience in sizing ...

join the Business Transaction Banking division. As a Solutions Architect, you will be responsible for designing scalable, highly secure, and resilient data and AI systems, while driving strategic initiatives including Machine Learning, and GCP cloud migration. This role bridges business needs with technical execution, involving stakeholder management, cloud … native architecture development, and ensuring compliance with data governance, security, and ethical AI standards. Key Responsibilities Strategy & Design: Define end to end architectures for AI, ML, data, and agentic AI solutions running on Google Cloud Platform. Ensuring alignment to platform strategy, technology standards ...

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 … 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 ...

hands-on exposure to at least one of: LLM API integration, vector databases, prompt engineering, or RAG pipeline construction * Familiarity with REST-based AI APIs (OpenAI, Anthropic, Google Vertex AI, or equivalent). * Basic understanding of embeddings, semantic search, and token-based context management. … Comfortable reading Python code or notebooks (most AI libraries are Python-first); ability to translate patterns into Java implementations. * Active use of AI coding tools in your current workflow. * Experience with Agile delivery - sprint planning, story decomposition, backlog grooming, retrospectives. * Strong unit and component testing discipline ...

hands-on exposure to at least one of: LLM API integration, vector databases, prompt engineering, or RAG pipeline construction * Familiarity with REST-based AI APIs (OpenAI, Anthropic, Google Vertex AI, or equivalent). * Basic understanding of embeddings, semantic search, and token-based context management. … Comfortable reading Python code or notebooks (most AI libraries are Python-first); ability to translate patterns into Java implementations. * Active use of AI coding tools in your current workflow. * Experience with Agile delivery - sprint planning, story decomposition, backlog grooming, retrospectives. * Strong unit and component testing discipline ...

working directly on the models that underpin the platform - deconstructing messy, real-world enterprise data, designing profit intelligence frameworks, and applying AI to infer relationships and generate explainable financial insights. You'll collaborate closely with engineering to push models into production, and contribute to the evolution … fast-moving product environment Desirable Hands-on experience with LLMs - prompting, embeddings, or applied inference workflows Familiarity with Google Cloud (BigQuery, Cloud Run, Vertex AI, or similar) Understanding of modern data architecture - batch/streaming, DAG-based orchestration, API-driven systems Exposure to ERP or finance ...

focused initiatives, moving beyond ad-hoc analysis into scalable, repeatable solutions. The Company A large UK retail organisation undergoing a significant data and AI transformation. The business is investing in building a sustainable Data Science capability to support more advanced modelling, forecasting, and personalisation. The Role Work hands … stakeholders and explain model outputs and impact. Exposure to cloud platforms such as GCP or Azure is beneficial, with openness to tools like Vertex AI or Azure ML. What They Offer Salary up too £48,000. Hybrid working with three days per week onsite. The chance ...

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 ...