101 to 125 of 160 Vertex AI Jobs in the UK

true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you.Our AI Consultant roles are unique. The ideal candidate is a rare hybrid, a scientist with strong technical skills in AI and machine learning … depth analysis of data available to Equifax and its partners.Collaborate with product managers to conduct market research and validate product needs.Develop and test AI models and algorithms, utilizing platforms like Vertex AI and BQML.Contribute to the creation of business cases for proposed AI ...

London, United Kingdom | Posted on 23/07/2026 Contract Role: Senior AI/ML Research Engineer Contract Location: London Contract Duration: 6 months initially (with potential extension) Contract Start Date: Immediate Contract Classification: Inside IR35 Daily Rate breakdown Traditional Daily Rate: £600 The Senior AI …/ML Research Engineer will be a key member of the GenAI team within the Data & AI organisation, responsible for designing, developing, and deploying scalable AI/ML solutions across multiple business areas. The role focuses on delivering production-grade machine learning systems while ensuring alignment ...

similar coding languages. Experience building pipelines for structured and unstructured data using both vector databases and RAG-like architectures to power enterprise AI solutions. Experience taking production-grade AI-driven solutions from conception to launch, and architecting AI systems on cloud platforms (e.g., Google … customer-facing role that requires interactions in French or German with local stakeholders. Preferred qualifications: Master’s degree or PhD in AI, Computer Science, or a related technical field. Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and complex patterns (e.g., ReAct, self-reflection, hierarchical ...

Technical Stack & Requirements: AI/ML Stack: Amazon SageMaker, AWS Bedrock. Design Focus: Vector databases, knowledge graphs, and semantic layers. Databricks: Experience with Databricks and Databricks Genie is highly desirable. Core Mandate: Define the standards for "AI-ready" data curation and direct the integration of AI … methodologies into existing Service Experience and Financials business logic. Qualifications: 6-8+ years of experience. Strong background in AI/ML design and implementation. Ability to architect semantic layers and knowledge graphs. Experience with GitHub Actions for managing codebases. Required Qualifications Bachelor's or Master's degree ...

Data Scientist - Applied AI (Go-To-Market) 12 Months Fixed Term At Trustpilot, we're on an incredible journey. We're a profitable, high-growth FTSE-250 company with a big vision: to become the universal symbol of trust. We run the world's largest open customer review … have now reached 267 million reviews - and that is growing! - from consumers around the world. Our Data Scientists in the GTM Applied AI team leverage this data to build AI/ML models that improve our go-to-market (GTM) efficiency and enhance our pricing ...

whole spectrum of Google Cloud products and services, as well as other leading cloud platforms.One project might need you develop cutting edge AI solutions using sound engineering practices and the next might see you designing a secure PB-scale platform for analytics and AI or building … designing and delivering solutions on Google Cloud, perhaps using serverless products such as Cloud Run, or infrastructure such as Compute Engine and GKE, AI such as Vertex AI, ADK or Agent Engine, as well as data services such as: BigQuery, Spanner, Dataflow, Composer, Bigtable ...

AI/ML Senior Software Engineer, Data Optimization and Platform corporate_fare Google place London, UK Bachelor’s degree or equivalent practical experience. 5 years of experience with data structures and algorithms in Python. 3 years of experience with one or more of the following: Speech/audio … their use case, and deliver insights on how to improve further. You will collaborate with key product teams across Google. 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. ...

solution concepts, lead demos, build rapid MVPs or prototypes, conduct workshops, and provide technical insights across Google Cloud technologies—including Gemini Enterprise, Data & AI, CES, Security, and Gen AI. You will also work closely with offshore teams and subject matter experts to shape strong, feasible solutions that support … growing areas in technology. Work on meaningful and innovative projects for mid-market clients, powered by the latest Google technologies like Gemini Enterprise, Vertex AI, and BigQuery. Accenture will continually invest in your learning and growth, supporting you in growing your tech stack and certifications. Build ...

cross-channel customer engagement and lifecycle CRM, and with Google’s partner and cloud teams on Google Marketing Platform, Google Cloud and Vertex AI-enabled data transformation.Own opportunities end-to-end (pipeline, progression and close) against an annual quota.Primary motion is partner-sourced and partner-influenced … storytelling, commercials and contract finalisation).Position WPP’s delivery value across CRM, martech, data and AI (Braze, Google Marketing Platform, Google Cloud, Vertex AI).Identify and progress net-new logo opportunities in priority verticals (e.g., retail, financial services, travel & hospitality, consumer goods).Use partner ...

cross-channel customer engagement and lifecycle CRM, and with Google’s partner and cloud teams on Google Marketing Platform, Google Cloud and Vertex AI-enabled data transformation. Own opportunities end-to-end (pipeline, progression and close) against an annual quota. Primary motion is partner-sourced … commercials and contract finalisation). Position WPP’s delivery value across CRM, martech, data and AI (Braze, Google Marketing Platform, Google Cloud, Vertex AI). Identify and progress net-new logo opportunities in priority verticals (e.g., retail, financial services, travel & hospitality, consumer goods). ...

world's most ambitious consumer and entertainment brands. We bring together deep domain expertise across Retail, CPG, Sports, and Media with AI-native delivery capability, designing and delivering agentic solutions that turn CX vision into commercial reality. We are the partner of choice for brands like Arc'teryx … each account. RESPONSIBILITIES Technical Leadership Define and oversee high-level technical architecture and technology stack for accounts or portfolios Define and communicate the AI adoption strategy for delivery squads, including how agentic workflows, AI-assisted development and LLM-based tools integrate into engineering practice. Guide ...

connects tens of millions of customers with hundreds of thousands of restaurant, grocery and convenience partners across the globe. About this role The AI Growth team builds the AI systems that make JustEatTakeaway.com's marketplace more relevant for millions of customers and partners across 14 countries. … From powering personalised recommendations and intelligent targeting to developing our foundation model platform, we’re shaping the future of AI at scale. As a Staff Machine Learning Engineer, you’ll provide technical leadership for the ML infrastructure that underpins these capabilities, working across teams to define the architecture ...

Science, a related field, or equivalent practical experience. 8 years of experience with software development using Python or similar coding languages. Experience architecting AI systems on cloud platforms (e.g., the company Cloud Platform (GCP)). Experience deploying resources using Terraform or similar tools, to automate the setup … Experience building full-stack applications that interact with enterprise IT infrastructures, and developing external customer projects. Preferred qualifications Master’s or PhD in AI, Computer Science, or a related technical field. Experience implementing multi-agent systems using frameworks like ReAct and self-reflection. Experience debugging Agent logic ...

communicate in French and German fluently to support client relationship management in this region. Preferred qualifications: Master’s degree or PhD in AI, Computer Science, or a related technical field. Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, or Google’s Agent Development … workflows incorporating MCP, tool-calling, and OAuth-based authentication. About the job Google Cloud’s mission is to make every business successful through AI by combining cutting-edge technology, infrastructure, and talent. AI/ML software engineers in Cloud bridge the gap between pioneering models ...

Lead development of complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, model context protocol (MCP) servers) that drive measurable return on investment.Design and code the "connective tissue" between Google’s AI products and customer's live infrastructure, including … frameworks to ensure agentic systems meet rigorous requirements for accuracy, safety, and latency.Identify repeatable field patterns and technical "friction points" in Google’s AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams.Partner with customer engineering teams to instill Google-grade development ...

heights.****Making animals’ lives better makes life better – join our team today!**As a Lead Engineer, you will be part of our Enterprise AI engineering team to deliver secure, reliable, and innovative AI solutions across our business. In this role, you’ll be responsible for advancing … curiosity, and creative problem-solving to drive continuous innovation.* Partner with Principal Engineers to define and execute the strategic technical roadmap for our AI capabilities.* Establish and enforce engineering standards, ensuring the platform remains stable, secure, and reliable while allowing for rapid experimentation.* Drive technical excellence across ...

Lead Engineer, you will be part of our Enterprise AI engineering team to deliver secure, reliable, and innovative AI solutions across our business. In this role, you’ll be responsible for advancing our modern technology stack by building, deploying, and supporting cutting‐edge GenAI capabilities that … curiosity, and creative problem‐solving to drive continuous innovation. Partner with Principal Engineers to define and execute the strategic technical roadmap for our AI capabilities. Establish and enforce engineering standards, ensuring the platform remains stable, secure, and reliable while allowing for rapid experimentation. Drive technical excellence across ...

shaping the future of fintech – and we’re just getting started.There are a myriad of opportunities to use AI/ML as part of business processes in checkout, and we’re looking for an expert to help us make these a reality. Unlike many such roles, this … modern data platforms (e.g., BigQuery/Databricks) and data processing workflows (ETL, pipelines).Excellent experience with cloud hosted AI platforms (Bedrock, Sagemaker, VertexAI)Strong problem-solving abilities, with the capacity to learn quickly and adapt in a fast-paced environment.Excellent communication and a drive to work effectively across ...

shaping the future of fintech – and we’re just getting started. There are a myriad of opportunities to use AI/ML as part of business processes in checkout, and we’re looking for an expert to help us make these a reality. Unlike many such roles, this … data platforms (e.g., BigQuery/Databricks) and data processing workflows (ETL, pipelines). Excellent experience with cloud hosted AI platforms (Bedrock, Sagemaker, VertexAI) Strong problem-solving abilities, with the capacity to learn quickly and adapt in a fast-paced environment. Excellent communication and a drive to work effectively ...

models at scale using Docker, Kubernetes, or serverless Deep understanding of ML fundamentals: optimisation, regularisation, evaluation metrics Experience with cloud ML services (SageMaker, Vertex AI, or Azure ML) Strong software engineering practices: version control, testing, CI/CD MSc or PhD in Computer Science, Machine Learning … plus bank holidays. Stock option scheme and pension matching. Latest hardware (M-series MacBook Pro, GPU workstation access). About the Team Our AI Research team is a tight‐knit group of 8 researchers and engineers passionate about pushing the boundaries of applied AI. We publish ...

problem, through solution development, to implementation and driving business adoption.Embrace agile working practices, set technical best practices, and actively invest in applying AI tools to enhance productivity and workflow efficiency.Partner with multidisciplinary agile teams—including Senior Data Scientists, ML Engineers, Analysts, and Architects—to drive technical product delivery.Internally … Expertise: Proficient in data science, with coding experience in Python and SQL, and the ability to mentor others.Technical Proficiency: Experience with ML Ops (Vertex AI), Git version control and software engineering best practices whilst using AI effectively to augment these best practices.Problem-Solving ...

problem, through solution development, to implementation and driving business adoption.Embrace agile working practices, set technical best practices, and actively invest in applying AI tools to enhance productivity and workflow efficiency.Partner with multidisciplinary agile teams—including Senior Data Scientists, ML Engineers, Analysts, and Architects—to drive technical product delivery.Internally … Expertise: Proficient in data science, with coding experience in Python and SQL, and the ability to mentor others.Technical Proficiency: Experience with ML Ops (Vertex AI), Git version control and software engineering best practices whilst using AI effectively to augment these best practices.Problem-Solving ...

deliver solutions. Technology Stack Google Cloud Platform for analytics; BigQuery, SQL and dbt for data modeling; PyData stack for model development; Google Vertex AI; AWS; Python for ML microservices; Go; AI tools; Google Suite; ChatGPT enterprise; Claude. You Should Apply If You are result …/EU retail lending for personal/business customers. Knowledge of ML model governance in a regulated industry. Experience using modern AI tools to enhance productivity. The Interview Process Our interview process includes: 30-minute Recruiter Call 45-minute Initial Call 60-minute ML Technical Skill Interview ...

Technology (DLT) solutions and smart contracts within regulated Financial Market Infrastructures (FMIs), including managing the lifecycle of tokenized assets. Preferred qualifications Experience using AI tools to significantly increase personal coding velocity and code quality. Experience in financial services, familiarity with the regulatory and operational rigors of clearing, settlement … custody. Experience of FSI regulatory knowledge for data residency, encryption at rest/transit (CMEK), and explainable AI requirements in banking. Proficient in BigQuery, Vertex AI, Dataflow, and Pub/Sub. Strong understanding of relational, NoSQL, and analytical data modeling (e.g., Star Schema, Data ...

working centrally across the business. You'll partner with teams spanning Commercial, Marketing, Product, Finance, Engineering and Operations — developing and deploying ML and AI solutions that drive outcomes across both sides of our marketplace. The problems you'll work on are genuinely varied: pricing models, propensity and demand … define and defend success metrics, and you know when a model is degrading and what to do about it. [Bonus] Experience with VertexAI TOOLS & TECHNOLOGIES Languages: Python, SQL Data & Transformation: dbt, Snowflake, BigQuery Visualisation & BI: Looker Engineering & MLOps: Docker, GitHub Workflow & Orchestration: Vertex AI Pipelines ...