1 to 25 of 49 Vertex AI Jobs in the UK

design and present compelling solutions, and guide customers through the implementation and adoption of our products and services, with a focus on Generative AI solutions on Google Cloud. This role requires a blend of technical depth, business acumen, and strong communication skills, with a specialization in applying Generative … AI technologies to solve complex business problems. A Customer Engineer needs a blend of strong technical skills in cloud-native technologies, including AI/ML, and excellent communication and problem-solving abilities to assist customers with their cloud solutions. Core Focus: Google Cloud Platform (GCP) Expertise … 's role in enabling generative AI solutions. GCP AI/ML Services: Knowledge of other relevant Google Cloud AI/ML services and APIs (e.g., Natural Language API, Vision API). Infrastructure Automation: IaC with Terraform or Cloud Deployment Manager. Cloud Solution More ❯

manage GCP environments, including compute, storage, and networking components. o Collaborate with cross-functional teams to understand requirements and provide scalable infrastructure solutions. Vertex AI and BigQuery: o Hands-on experience with Vertex AI for generative AI solutions and BigQuery … for data storage and analytics. o Work closely with data scientists and AI specialists to integrate and optimize solutions using Vertex AI on GCP. o Implement and manage machine learning pipelines and models within the Vertex AI environment. Wiz Security More ❯

as of $13+ billion. Role Overview: We are seeking talented and passionate SeniorAI Engineers to join our team and contribute to building innovative AI-powered solutions. The role involves designing, developing, and deploying models using Vertex AI and Gemini LLM to automate document extraction … classification, and analysis. Key Responsibilities: Design, develop, and deploy DocAI models using Vertex AI and Gemini LLM for extracting data and retrieving insights Migrate existing document processing solutions from legacy systems to the Vertex AI platform. Optimize DocAI models for accuracy, performance … and scalability. Collaborate with subject matter experts (SMEs) to validate and refine AI-generated content, ensuring accuracy and compliance with bank policies. Work closely with cross-functional teams to implement and integrate DocAI solutions into existing workflows. Stay up to date on the latest advancements in DocAI and More ❯

as of $13+ billion. Role Overview: We are seeking talented and passionate SeniorAI Engineers to join our team and contribute to building innovative AI-powered solutions. The role involves designing, developing, and deploying models using Vertex AI and Gemini LLM to automate document extraction … classification, and analysis. Key Responsibilities: Design, develop, and deploy DocAI models using Vertex AI and Gemini LLM for extracting data and retrieving insights Migrate existing document processing solutions from legacy systems to the Vertex AI platform. Optimize DocAI models for accuracy, performance … and scalability. Collaborate with subject matter experts (SMEs) to validate and refine AI-generated content, ensuring accuracy and compliance with bank policies. Work closely with cross-functional teams to implement and integrate DocAI solutions into existing workflows. Stay up to date on the latest advancements in DocAI and More ❯

The AI Engineer is a key role in the Data Platform Portfolio team, building the data platform, driving value from data across the business. With strong technical skills and business acumen to help turn millions of potential data points into actionable insights that can drive product improvements, make … create reusable data assets. To create a self-service BI platform, enabling colleagues across Rentokil Initial to get value from data. To build AI models and a data science platform that enables Rentokil to derive huge value from AI, through machine learning to gen AI and beyond. Key tasks: AI Data Engineering: Design, build, operate, and deploy real-time data pipelines at scale using AI techniques and best practices. Support Rentokil's AI R&D efforts by applying advanced data warehousing, data science, and data engineering technologies. More ❯

re building a different way to create; democratising creativity and empowering brands and Creators to build value together. About The Role As an AI Engineer, you'll use Generative AI to enhance operations, power client-facing products, and strengthen our data-driven culture. Owning the full … AI lifecycle, you'll take ideas from proof of concept to deployment and continuous evaluation. Our AI initiatives span categorization, summarization, data analysis, automated content generation, and rich media analysis -leveraging both existing AI/ML tools (LLMs, RAG, embeddings, agentic workflows) and custom … solutions. You'll collaborate across teams to build practical, scalable AI solutions - where precision matters. With a "you build it, you run it" mindset, you'll stay hands-on throughout development. We're looking for an AI-first engineer who drives real value with LLMs and More ❯

re building a different way to create; democratising creativity and empowering brands and Creators to build value together. About The Role As an AI Engineer, you'll use Generative AI to enhance operations, power client-facing products, and strengthen our data-driven culture. Owning the full … AI lifecycle, you'll take ideas from proof of concept to deployment and continuous evaluation. Our AI initiatives span categorization, summarization, data analysis, automated content generation, and rich media analysis - leveraging both existing AI/ML tools (LLMs, RAG, embeddings, agentic workflows) and custom … solutions. You'll collaborate across teams to build practical, scalable AI solutions - where precision matters. With a "you build it, you run it" mindset, you'll stay hands-on throughout development. We're looking for an AI-first engineer who drives real value with LLMs and More ❯

at the right time to solve real customer problems. How you will contribute Your objectives when joining will be to: Build out our AI Product Vision using the right technologies to solve today's problems as well as the challenges Birdie will face in the future: Birdie's … data footprint doubles every quarter, making it essential to leverage scalable AI solutions to ensure data insights remain actionable for our customers and internal teams. Have a deep interest in understanding our users workflows and pain points looking for novel ways through AI to solve them. … Develop AI-driven tools, models, and documentation willing to share knowledge and up skill our broader engineering teams. Build and maintain AI infrastructure leveraging the latest technology approaches: Investigate cutting-edge approaches like generative AI or reinforcement learning to drive adoption and impact. Ensure More ❯

is a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data/metadata/knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next-generation, metadata- and automation-driven data experience for GSK's scientists, engineers, and … decision-makers, increasing productivity and reducing time spent on "data mechanics". Providing best-in-class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top-tier talent. Aggressively engineering our data at scale, as one unified asset, to unlock the value of … highly skilled and experienced Senior Product Manager, AIML Platform. In this role, you will be responsible for developing the product strategy of our AI/ML Platform to meet customer needs. You will partner closely with the leaders of Onyx's customer organizations, including AI/ More ❯

architectures. Experience building and leading high-performing research or engineering teams, fostering a positive and inclusive culture. Experience being published in ML/AI conferences or journals, demonstrating a strong research background and ability to communicate complex technical concepts effectively. Familiarity with agent-based architectures, tool use, reinforcement … forward. The Domain Applied ML team is an impactful group within Core ML, dedicated to accelerating the adoption of cutting-edge ML/AI across Google. We bridge the gap between research and production by … developing standardized, efficient ML solutions in critical domains like parameter-efficient tuning, multimodal modeling, media generation, LLMs, and recommender systems. The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc. More ❯

architectures. Experience building and leading high-performing research or engineering teams, fostering a positive and inclusive culture. Experience being published in ML/AI conferences or journals, demonstrating a strong research background and ability to communicate complex technical concepts effectively. Familiarity with agent-based architectures, tool use, reinforcement … forward. The Domain Applied ML team is an impactful group within Core ML, dedicated to accelerating the adoption of cutting-edge ML/AI across Google. We bridge the gap between research and production by … developing standardized, efficient ML solutions in critical domains like parameter-efficient tuning, multimodal modeling, media generation, LLMs, and recommender systems. The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc. More ❯

to be at its vanguard! This is your opportunity to move beyond incremental improvements and architect truly transformative solutions, shaping the future of AI and accelerated computing for Google and the world. While known for pioneering work with TPUs, GPUs are an equally vital and rapidly expanding frontier … performance for our ML models, adapting to ML workloads, achieving results, and influencing next-generation GPU architectures via strategic partnerships. The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc. … a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud's Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers. Responsibilities: Build optimizations that improve benchmarks, but also More ❯

scale Solid understanding of SQL Proficiency in unit testing, CI/CD, model management and experiment tracking Desirable Experience with Deep Learning, Generative AI and Reinforcement Learning Experience with Time Series Forecasting and Recommender Systems Previous experience working in e-commerce, retail, or the travel industry. Conducted and … mentoring team members Experience with workflow orchestration technologies such as Airflow, Dagster or Prefect Experience with technologies such as: Google Cloud Platform, particularly Vertex AI Docker and Kubernetes Perks of joining us: Company pension contributions at 5% Individualised training budget for you to learn on the More ❯

communication skills, with proven stakeholder management abilities, including exposure to the Senior Leadership Team. Familiarity with Hyperscaler platforms, particularly Google Cloud Platform (e.g., Vertex AI) is preferred. Proficiency in technical languages and libraries such as Python and React. Solid understanding of technical architecture, including both on More ❯

a catalyst for innovation, a mentor to junior team members, and a trusted advisor to stakeholders across the business, helping to implement our AI strategy and align data science capabilities with business objectives. Your day-to-day: Leading strategic initiatives from conception to delivery, including stakeholder management and … successful technical mentorship and team development Demonstrated cross-functional collaboration skills across engineering, product, and business teams Desirable Expertise in Deep Learning, Generative AI and Reinforcement Learning Advanced knowledge of Time Series Forecasting and Recommender Systems Previous experience working in e-commerce, retail, or the travel industry Experience … test experiments Mastery of workflow orchestration technologies such as Airflow, Dagster or Prefect Expert knowledge of technologies such as: Google Cloud Platform, particularly Vertex AI Docker and Kubernetes Infrastructure as Code Experience establishing data science best practices across an organisation Perks of joining us: Company pension More ❯

suite of UK based products. In this role, you will collaborate with the wider data teams within this area, leveraging machine learning and AI techniques to deliver data driven insights to our stakeholders across the business and provide tailored actions to our customers. With millions of customer interactions … and unstructured data, there are a multitude of use cases and endpoints at our disposal. Through harnessing the power of Google Cloud and Vertex AI, we're at the forefront of insurance data innovation, developing and monitoring cutting-edge models that drive our business forward. We … colleagues, sharing your expertise and working practices to aid their development and drive the team forward. Collaborating with the wider Data Science and AI Community, exploring innovative concepts and keeping up to date with technological advancements in machine learning. Working with other senior members of the department to More ❯

suite of UK based products. In this role, you will collaborate with the wider data teams within this area, leveraging machine learning and AI techniques to deliver data driven insights to our stakeholders across the business and provide tailored actions to our customers. With millions of customer interactions … and unstructured data, there are a multitude of use cases and endpoints at our disposal. Through harnessing the power of Google Cloud and Vertex AI, we're at the forefront of insurance data innovation, developing and monitoring cutting-edge models that drive our business forward. We … colleagues, sharing your expertise and working practices to aid their development and drive the team forward. Collaborating with the wider Data Science and AI Community, exploring innovative concepts and keeping up to date with technological advancements in machine learning. Working with other senior members of the department to More ❯

URGENT - Agentic AI Developer - 12 Month Contract 💼 12-Month Contract | £700 P/D | Inside IR35 My client are looking for a cutting-edge Agentic AI Developer to design, build, and optimize autonomous AI agents capable of reasoning, planning, and acting independently in complex … are using: 🧠 LLMs (GPT, Claude, LLaMA, etc.) 🛠️ LangChain, AutoGPT, CrewAI 🤖 Reinforcement Learning & Multi-Agent Systems 📡 Kafka, RabbitMQ, OpenTelemetry 🧰 TensorFlow, PyTorch, JAX ☁️ AWS, Azure, Vertex AI What You'll Do: • Build and deploy autonomous agents • Optimize real-time AI models • Implement RL and planning algorithms … behaviors 🎯 Ideal Candidate: Skilled in Python, Go, or Java, and experienced with LLM-based agents, multi-agent frameworks, RL techniques, and cloud AI stacks. More ❯

suite of UK based products. In this role, you will collaborate with the wider data teams within this area, leveraging machine learning and AI techniques to deliver data driven insights to our stakeholders across the business and provide tailored actions to our customers. With millions of customer interactions … and unstructured data, there are a multitude of use cases and endpoints at our disposal. Through harnessing the power of Google Cloud and Vertex AI, we're at the forefront of insurance data innovation, developing and monitoring cutting-edge models that drive our business forward. We … impact of your work, through relevant and clear reporting and monitoring of new and existing models. Collaborating with the wider Data Science and AI Community, exploring innovative concepts and keeping up to date with technological advancements in machine learning. Skills and Experience: Essential: Consistent track record as a More ❯

suite of UK based products. In this role, you will collaborate with the wider data teams within this area, leveraging machine learning and AI techniques to deliver data driven insights to our stakeholders across the business and provide tailored actions to our customers. With millions of customer interactions … and unstructured data, there are a multitude of use cases and endpoints at our disposal. Through harnessing the power of Google Cloud and Vertex AI, we're at the forefront of insurance data innovation, developing and monitoring cutting-edge models that drive our business forward. We … impact of your work, through relevant and clear reporting and monitoring of new and existing models. Collaborating with the wider Data Science and AI Community, exploring innovative concepts and keeping up to date with technological advancements in machine learning. Skills and Experience: Essential: Consistent track record as a More ❯

of GenAI where beneficial. This is a unique opportunity to play a central role in transforming the organization into a truly data- and AI-driven enterprise. If you're excited by the possibilities of emerging technologies and looking for a step-up challenge, we’d love to hear … particularly with exposure to data and digital transformation. Degree in Computer Science, Information Technology, Engineering, or a related field. Hands-on experience with AI/ML technologies, including GenAI platforms (e.g. GPT, Claude, Vertex AI, Azure OpenAI). Strong experience in leveraging data and More ❯

of GenAI where beneficial. This is a unique opportunity to play a central role in transforming the organization into a truly data- and AI-driven enterprise. If you're excited by the possibilities of emerging technologies and looking for a step-up challenge, we’d love to hear … particularly with exposure to data and digital transformation. Degree in Computer Science, Information Technology, Engineering, or a related field. Hands-on experience with AI/ML technologies, including GenAI platforms (e.g. GPT, Claude, Vertex AI, Azure OpenAI). Strong experience in leveraging data and More ❯

scalable, reliable, and secure. Provide expertise on Google Cloud services, including Compute Engine, App Engine, Kubernetes Engine, and Cloud Functions. Strong understanding of AI/ML concepts, including deep learning, natural language processing, and reinforcement learning. Extensive experience required in Cloud Run, Pub/Sub, and Gemini/… Vertex AI Models. Expertise in setting up and managing CI/CD pipelines using tools like Cloud Build, Jenkins, GitLab CI, and GitHub Actions. Experience with Infrastructure as Code (IaC) using Terraform or Deployment Manager. Solid understanding of Kubernetes (GKE) for container orchestration. Experience with monitoring More ❯

scalable, reliable, and secure. Provide expertise on Google Cloud services, including Compute Engine, App Engine, Kubernetes Engine, and Cloud Functions. Strong understanding of AI/ML concepts, including deep learning, natural language processing, and reinforcement learning. Extensive experience required in Cloud Run, Pub/Sub, and Gemini/… Vertex AI Models. Expertise in setting up and managing CI/CD pipelines using tools like Cloud Build, Jenkins, GitLab CI, and GitHub Actions. Experience with Infrastructure as Code (IaC) using Terraform or Deployment Manager. Solid understanding of Kubernetes (GKE) for container orchestration. Experience with monitoring More ❯

scalable, reliable, and secure. Provide expertise on Google Cloud services, including Compute Engine, App Engine, Kubernetes Engine, and Cloud Functions. Strong understanding of AI/ML concepts, including deep learning, natural language processing, and reinforcement learning. Extensive experience required in Cloud Run, Pub/Sub, and Gemini/… Vertex AI Models. Expertise in setting up and managing CI/CD pipelines using tools like Cloud Build, Jenkins, GitLab CI, and GitHub Actions. Experience with Infrastructure as Code (IaC) using Terraform or Deployment Manager. Solid understanding of Kubernetes (GKE) for container orchestration. Experience with monitoring More ❯