26 to 50 of 118 Vertex AI Jobs in the UK

translate complex business requirements into robust, scalable architectures on Google Cloud, operating at the intersection of technical depth and stakeholder collaboration. Working across AI and ML workloads, data platform design, and cloud migrations, you will act as a trusted technical voice for clients and a key partner … meet client needs Define and design infrastructure strategies using IaC, containerisation, and CI/CD for repeatable, production-grade deployments Design and architect AI/ML and Agentic AI solutions using Google Cloud services such as Vertex AI, Model Garden, and Gemini ...

helping clients navigate complex challenges. As technology continues to reshape the legal industry, we are investing significantly in innovation, engineering excellence and AI-enabled solutions that enhance how we deliver services to our clients and support our people. Our Innovation team plays a central role in this journey … engineer and operationalise secure, scalable cloud environments and innovation services across Microsoft Azure and Google Cloud Platform (GCP), supporting a growing portfolio of AI, automation and digital transformation initiatives. Working closely with Innovation, Enterprise Architecture, Security, Infrastructure and Product teams, you will help establish the engineering standards, cloud ...

offers the opportunity to work on large-scale Google Cloud transformations, helping clients design, build and optimise modern cloud platforms, data environments and AI-driven solutions. The Opportunity As a Cloud Engineer, you'll work closely with Architects and delivery teams to implement production-grade solutions on Google … Cloud Platform. You'll be involved in a variety of projects spanning cloud infrastructure, data engineering, platform modernisation and AI technologies. This is a hands-on engineering role suited to someone who enjoys building cloud-native solutions, automating deployments and working directly with customers to solve complex technical ...

vendor-specific APIs.* Implement execution guardrails including policy validation, approval gates, rollback mechanisms, dry-run checks, and audit logging.* Develop platform capabilities for AI/LLM-driven agents to safely trigger network actions.* Support deployment and operation of AI platforms such as Vertex AI … Azure certification.* Cisco, Juniper, Nokia, or Ericsson automation-related certifications.* TM Forum Open API certification.**Nice-to-Have Qualifications*** Experience with Google Vertex AI, Gemini APIs, BigQuery, or similar platforms.* Experience with LangChain, LangGraph, MCP, or agentic AI execution frameworks.* Experience with ServiceNow, Netcracker ...

About the role The AI & ML Engineering team accelerates the adoption of AI across the business, championing innovation while ensuring our machine learning solutions are robust, scalable, and cost-efficient. We enable teams to solve problems using existing AI tools where possible and build … custom solutions when needed. Our remit spans AI enablement, agentic systems development, and “conventional” ML engineering for non-GenAI applications e.g. recommender systems, forecasting models, and more. We’re looking for an AI & ML Engineer who is passionate about building production‐ready AI ...

Architects and delivery teams, you will translate architectural designs into production‐ready solutions on Google Cloud Platform. The role spans infrastructure, data, and AI workloads, with a primary focus on engineering while also contributing to solution design discussions and supporting client engagements with technical expertise. You will deliver … solutions, from building data pipelines and deploying AI/ML workloads to provisioning infrastructure and automating deployments through CI/CD. This is a London‐based role. Responsibilities Implement, deploy, and maintain Google Cloud infrastructure using Infrastructure as Code (primarily Terraform), ensuring repeatable and version‐controlled environments Build ...

feel right at home. As a Senior ML/MLOps Engineer, you'll be a foundational hire in our new Data Science & Applied AI function — working in close partnership with our Data Scientists to take intelligent systems from prototype to production, and keep them performing once they … deployment, and the monitoring infrastructure that catches drift and quality degradation before business KPIs move. You'll work on a GCP-native stack — Vertex AI, BigQuery, dbt, Airflow, and Terraform — on problems that matter from day one, with the autonomy to shape how the function scales ...

months Outside IR35 - Negotiable 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 ...

environments, not demos, not prototypes that stall after a pilot, but production agentic architectures running inside real client organizations. The difference between an AI Engineer and what we are looking for is straightforward: you have shipped a multi-agent system in production, you have owned the eval harness … know what happens when your agent fails at 2am because you have lived it. As an AI Engineer (Agentic/Applied), you will design, build, and deploy production-grade agentic AI systems across the full enterprise technology stack. You will work directly with client engineering teams ...

with exciting challenges - be it through the support and further development of legacy systems or the introduction of modern technologies such as AI, machine learning and highly automated trading applications. Your Role in the Team In this role, you will play a key part in driving the development … AI-powered services within the bank and shaping the next generation of our digital solutions. You will work in an agile, self-organized team that actively drives innovation in the field of artificial intelligence. Collaboration is characterized by close communication, joint architecture and design phases, pair programming ...

environments, not demos, not prototypes that stall after a pilot, but production agentic architectures running inside real client organizations. The difference between an AI Engineer and what we are looking for is straightforward: you have shipped a multi-agent system in production, you have owned the eval harness … know what happens when your agent fails at 2am because you have lived it. As an AI Engineer (Agentic/Applied), you will design, build, and deploy production-grade agentic AI systems across the full enterprise technology stack. You will work directly with client engineering teams ...

environments, not demos, not prototypes that stall after a pilot, but production agentic architectures running inside real client organizations. The difference between an AI Engineer and what we are looking for is straightforward: you have shipped a multi-agent system in production, you have owned the eval harness … know what happens when your agent fails at 2am because you have lived it. As an AI Engineer (Agentic/Applied), you will design, build, and deploy production-grade agentic AI systems across the full enterprise technology stack. You will work directly with client engineering teams ...

roles within 12 months to ensure you are not duplicating efforts. Job Category Sales Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword … work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level‐up your career at the company leading ...

Forward Deployed Engineer (FDE) focusing on Agentforce Operations , you are a hands-on Technical Builder who designs, constructs, and deploys enterprise-grade agentic AI solutions directly inside customer environments. AFO powers the multi-agent orchestration layer, transforming messy operational workflows, unstructured data (emails, PDFs, spec sheets), and legacy … logs into autonomous execution engines with humans in the loop. Operating in an agile deployment pod alongside a Deployment Strategist and Specialized AI Engineers , you will serve as the crucial link connecting advanced AI agents to the broader enterprise technology landscape. You will write production code ...

that capture the imagination and deliver impressive returns for our clients. Our roles and responsibilities are rapidly changing during this age of rapid AI growth, adoption, capability and market options. AI Landscape and Production AI implementation experience is essential. The Technical Lead … these additional capabilities. Technical Architecture and Engineering capability and experience is mandatory. ROLE REQUIREMENTS Client facing. Thought Leadership and promotion of AKQA Technology. AI Implementor AI Usage – proficient elevated workflow and development tooling AI Enabled Experience Development & Integration – vendor and cloud landscape knowledge, systems ...

Category Sales Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know … voice pipelines or multimodal integrations via hyperscaler services. Advanced AI/ML Frameworks - Exposure to frameworks (TensorFlow, PyTorch), MLOps practices, and cloud AI platforms like Google Vertex AI or AWS Sagemaker. Unleash Your Potential When you join Salesforce, you’ll be limitless ...

built AI systems that made it into production, we’d like to hear from you. We’re looking for AI Native Software Engineers to join our AI Engineering team in London & Birmingham, working across Agentic and Applied AI. We’re hiring across different levels … experience, so the scope and seniority of the role will depend on your background, technical depth and level of ownership. As an AI Native Software Engineer, you’ll design, build and deploy production-grade software and AI systems, working closely with engineering teams to turn AI ...

built AI systems that made it into production, we’d like to hear from you. We’re looking for AI Native Software Engineers to join our AI Engineering team in London & Birmingham, working across Agentic and Applied AI. We’re hiring across different levels … experience, so the scope and seniority of the role will depend on your background, technical depth and level of ownership. As an AI Native Software Engineer, you’ll design, build and deploy production-grade software and AI systems, working closely with engineering teams to turn AI ...

life sciences, manufacturing, and technology, media and telecoms, with capabilities spanning strategy, transformation and operational excellence – all powered by advanced technology, data, AI and digital innovation. Clients value Baringa’s collaborative approach and the way its teams integrate seamlessly – all working with a shared understanding of what matters … Leading Management Consultants rankings, and by Forbes for four consecutive years as one of the World’s Best Management Consulting Firms. Our Solutions & AI Labs (SAIL) practice are looking for experienced Consultants to join the team! The Forward Deployed AI & Solutions Engineer role will lead ...

will be accomplished by enabling close cross-functional collaboration and teamwork with network engineers, strategic negotiators, and varying TPgMs across multiple teams. The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure … billions of Google users worldwide. We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware ...

MLOps best practices across the business. As a Machine Learning Engineer, you’ll play a crucial role in ensuring our clients’ data and AI strategy scales effectively, directly influencing the way millions of people engage with their products every day. Opportunity This is a unique chance to combine … maintaining end‐to‐end data pipelines and feature engineering workflows. Deploying and monitoring ML models in production using tools such as MLflow, Vertex AI, or Azure ML. Driving best practices in MLOps, including CI/CD, experiment tracking, and model governance. Supporting the data warehouse ...

Description This is not a consulting role. It is not a project delivery role. It is not a research position. A Forward Deployed AI Engineer is a production engineer who works embedded inside a client's enterprise, shoulder to shoulder with their teams, to make complex AI … outcomes: time-to-value, adoption, reliability, and scalability. Not delivery milestones. Outcomes. The market is beginning to understand what leading technology companies havedemonstrated: AI products fail not because the models are weak but because deployment is broken. The gap between a successful AI pilot ...

across 30+ countries ; helping customers collect and send both recurring and one-off payments , without the chasing, stress or expensive fees. We use AI-powered solutions to improve payment success and reduce fraud. And, with open banking connectivity to over 2,500 banks , we help our customers make … Product Managers to help shape the technical roadmap as we expand into new markets. Our stack is centred around Google Cloud Platform and Vertex AI, using Python, SQL, and BigQuery to build and support high-performance models at scale. What you'll do Contribute ...

Strong understanding of modern data warehouse architectures, real-time analytics, and data governance (e.g., BigQuery, Spark, Kafka). Deep technical expertise in Generative AI development (e.g., prompt engineering, model tuning, vector databases like Vertex AI Vector Search, and AI frameworks like LangChain … LlamaIndex). Active participation in the startup and AI ecosystem, with a track record of public speaking, technical writing, or community contribution. About the job As a Customer Engineer in the UK/IE Startups & Scaleups Growth team, you will lead high-impact technical engagements with rapidly scaling ...

Description This is not a consulting role. It is not a project delivery role. It is not a research position. A Forward Deployed AI Engineer is a production engineer who works embedded inside a client's enterprise, shoulder to shoulder with their teams, to make complex AI … outcomes: time-to-value, adoption, reliability, and scalability. Not delivery milestones. Outcomes. The market is beginning to understand what leading technology companies havedemonstrated: AI products fail not because the models are weak but because deployment is broken. The gap between a successful AI pilot ...