1 to 25 of 38 Vertex AI Jobs in England

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 ❯

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 ❯

Python Solid understanding of ML fundamentals, algorithms, and techniques, including supervised, unsupervised, and reinforcement learning, and experience in NLP, computer vision, and generative AI Preferred Qualifications Experience with generative models such as diffusion models, GANs, and transformers for various media formats, including prompt engineering, fine-tuning, and evaluation … learning, and actor-critic architectures Experience leading high-performing research or engineering teams and fostering an inclusive culture Published research in ML/AI conferences or journals, demonstrating strong communication of complex technical concepts Familiarity with agent-based architectures, tool use, reinforcement learning, and techniques for evaluating and … adoption across Google by developing efficient solutions in areas like parameter tuning, multimodal modeling, media generation, LLMs, and recommender systems. The ML, Systems, & Cloud AI (MSCA) organization manages the hardware, software, ML, and infrastructure for all Google services and Google Cloud, prioritizing security, efficiency, and reliability to shape More ❯

You should have experience shipping AI solutions like: * Revenue Reconciliation Agent: Automating financial data reconciliation and reporting discrepancies. * Lease Reconciliation Agent: Comparing lease data with rent rolls to identify mismatches. * Legal DD Assistant: Building a document Q&A agent to extract key terms from due diligence documents. Experience … Experience with building APIs and custom connectors. * Optional: Experience with UI frameworks like Streamlit or Gradio. * Optional: Deployment/Infra experience with Microsoft AI Foundry, Google Vertex AI, or AWS SageMaker. Details: * Duration: Initial 2-month contract, with the opportunity for extension to long 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 ❯

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 ❯

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 ❯

Experience working in highly regulated environments such as redress or remediation programs. A conscientious, can-do attitude. Experience with tooling such as Python, Vertex AI, and BI Tools like QlikSense, Looker, and PowerBI. If you think you are up for the task and feel you meet More ❯

streamlines response efforts, and provides tools to fix issues quickly. Over the last 9 months, we've built some of the most ambitious AI-native features in our product. We're now working on Investigations-an AI agent that identifies problems, explains root causes, and eventually … fixes issues for you. We're not just applying AI to our product; we're reimagining incident response with AI, working with cutting-edge technologies to build something completely new. What we think we can achieve keeps increasing, and we're looking to grow the team … with AI engineers to make it happen. What AI Engineering looks like here We've gone from sprinkling moments of magic with AI to building an investigative agent, a copilot and more. All powered by a world-class internal platform: one that helps us More ❯

maintained, and monitored efficiently in production. You'll have the opportunity to improve model performance and infrastructure, all while contributing to Trustpilot's AI-based solutions. What you'll be doing: Model Deployment: Collaborate with data scientists to take machine learning models from development to production, ensuring quality … while adhering to best practices in machine learning and software engineering. Optimize: Continuously improve our infrastructure, ensuring we remain at the forefront of AI model production and delivery. Who you are: Solid technical foundation in both machine learning and software engineering. Experience deploying machine learning models in production … PyTorch, scikit-learn). Familiarity with cloud platforms like GCP, AWS, or Azure. Experience with CI/CD pipelines for machine learning (e.g., Vertex AI). Experience with data processing frameworks and tools, particularly Apache Beam/Dataflow is highly desirable. Knowledge of monitoring and maintaining More ❯

AI Engineer About Elsewhen: Elsewhen, a London-based consultancy, designs digital products and services for clients like Spotify, Google, Inmarsat, and Zego. Over the past decade, we have built a workplace prioritising impact, drive, openness, and friendliness. We value outcomes over hours and agility over rigid processes. If … you're a Python Engineer with an interest in AI, this is a great opportunity to gain hands-on GenAI experience while working on real-world projects, with the support and training needed to grow your GenAI skills. We're looking for an AI engineer to … join our biggest project and help bring LLM capabilities into our existing product. You will dive into AI engineering, building LLM powered systems and exploring multi-agent architectures within an enterprise organisation. Work Environment: Remote-first setup: Fully remote work with the option to use a WeWork membership More ❯

and Italy. Moment helps people learn to cook in an innovative way with a personal coaching service. This service is completely based in AI using multimodal (text, vision, audio). About the role Joining Cookpad's Moment team as a Senior Applied AI Engineer, you will … will be highly proficient in coding in Python and have proven hands-on, senior experience in building applications and integrations of modern generative AI models. It's not for everyone. Because of our speed and focus on growth, it can feel chaotic. We choose to work in small … creative, fast-paced environment. Our focus is scaling production and users. The role will be based in London. Key Responsibilities: Leverage cutting-edge AI technologies to address real-world customer challenges. Collaborate with product team to translate business and product requirements into technical solutions that leverage the latest More ❯

is built on Google Kubernetes Engine (GKE) and utilizes several other Google technologies such as Memorystore, Cloud Datastore, PubSub, Cloud Functions, BigQuery, and Vertex AI, as well as services from other vendors such as Amazon SES. In the development process, SREs provide developers with stable and More ❯

for a talented and passionate Senior Data Engineer to join our team. In this role, you'll be at the heart of our AI pipeline, ensuring seamless integration, scalability, and reliability of our data processes. About the company Company Anecdote/Anecdote is an innovative, AI-first startup revolutionizing how companies analyze customer feedback. Our AI-powered platform consolidates feedback from app reviews, support chats, surveys, and social media into a single, easily accessible space. This enables companies like Grubhub, Dropbox, and Careem to collect and derive actionable insights and deliver a … integrations. Ensure they are reliable and responsive. Own the Integrations: Implement new connections and be the master and owner of these integrations. Optimize AI Pipelines: Ensure our AI pipeline works like clockwork. Improve and support its complex infrastructure. ML Experience: Practical experience with ML, including classification More ❯