26 to 50 of 51 Vertex AI Jobs in the UK

Data & AI Senior Consultants Location - We are flexible: onsite, hybrid or fully remote, depending on what works for you and the client, UK or Netherlands based. What you will actually be doing This is not a role where you build clever models that never get used. Your focus … example higher revenue, lower cost, reduced risk, increased efficiency or better customer experience Translating business goals into a clear roadmap of data and AI work that everyone can understand Advising clients when AI is not the right solution and suggesting simpler or more cost effective alternatives ...

Lead AI Solutions Architect 6 Month initial contract (Hybrid/London) Up to 750 per day Inside IR35 Government client Overview We are seeking a highly experienced Lead AI Solutions Architect to spearhead the design and implementation of scalable AI solutions and develop Target … Operating Models (TOMs) that align with strategic goals. This role is pivotal in accelerating the adoption of transformative AI tools across government departments, ensuring ethical, secure, and impactful delivery. Key Responsibilities Architect enterprise-level AI frameworks and solutions. Design and implement Target Operating Models for AI ...

About Our Team We are at the forefront of AI innovation, driving the core technical engine that powers our next generation of enterprise products. Our mission is to translate complex, cutting-edge academic research into scalable, reliable, and commercially impactful solutions. We operate with the agility … translating technical output into commercial results. MLOps: Deep practical knowledge of MLOps principles and extensive experience with cloud-native ML services (e.g., Google Cloud Vertex AI, AWS SageMaker, Azure ML). Education: Ph.D. or Master's degree in Computer Science, Machine Learning, or a highly quantitative ...

Data & AI Senior Consultants Location - We are flexible: onsite, hybrid or fully remote, depending on what works for you and the client, UK or Netherlands based. What you will actually be doing This is not a role where you build clever models that never get used. Your focus … example higher revenue, lower cost, reduced risk, increased efficiency or better customer experience Translating business goals into a clear roadmap of data and AI work that everyone can understand Advising clients when AI is not the right solution and suggesting simpler or more cost effective alternatives ...

Data & AI Senior Consultants Location - We are flexible: onsite, hybrid or fully remote, depending on what works for you and the client, UK or Netherlands based. What you will actually be doing This is not a role where you build clever models that never get used. Your focus … example higher revenue, lower cost, reduced risk, increased efficiency or better customer experience Translating business goals into a clear roadmap of data and AI work that everyone can understand Advising clients when AI is not the right solution and suggesting simpler or more cost effective alternatives ...

About Turing: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced … training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results ...

specialising in strategy and development of client solutions across GMP, GCP, and Google AI. We harness the power of cloud technology, data and AI to craft compelling, future-ready solutions that drive growth for our clients. Our teams provide cutting-edge data and AI services that … Retail. This role requires a proven track record in strategic sales, market entry planning, and closing high-value, complex Data and AI solutions. You will own the entire sales motion within designated new markets, from defining the segmentation strategy and building the pipeline to leading deal execution ...

About Renude Renude builds AI-powered software for the beauty industry, helping brands deliver personalised, expertise-focused customer support through intelligent digital agents. Our technology powers e-commerce experiences including: skin analysis, product recommendation and LLM-based chat. W e’ve been awarded by CEW, Beauty Innovation Awards … support the training, optimisation, and deployment of computer vision models that power real customer interactions. 🔧 What We Offer Train, evaluate and deploy agentic AI systems and computer vision models for real-world use Collaborate with product and engineering to integrate ML systems into user-facing features Develop ...

MLOps & Automation Implement MLOps practices including CI/CD for ML, model versioning, and experiment tracking. Use tools such as MLflow, Kubeflow, SageMaker, Vertex AI, or Azure ML. Automate model training, testing, deployment, and monitoring workflows. 5. Cloud & Infrastructure Build ML solutions on cloud platforms such … solutions. Communicate model behaviour, limitations, and results clearly to non-technical stakeholders. 7. Research & Continuous Improvement Stay current with advancements in machine learning, AI, and data science. Evaluate new algorithms, tools, and frameworks for potential adoption. Contribute to best practices, documentation, and knowledge sharing. Required Skills & Experience Core ...

customer data. Key Responsibilities: Define and execute the go-to-market strategy for the Analytics practice, positioning them as a leader in AI-driven analytics solutions built on the Google Cloud, Marketing and AI ecosystem. Own the commercial targets for the Analytics practice, driving a pipeline … high-value solutions like conversational analytics and advanced analytics. Develop and implement tailored client strategies to expand our services, demonstrating how leveraging AI with their existing data can solve core challenges and drive proactive, data-driven decision making. Act as the senior subject matter expert and strategic advisor ...

Role: AI Engineer/AI Architect Location: London, Edinburgh Career Level: Manager Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership … live. It is personal to all of us.” – Julie Sweet, Accenture CEO As a team: Working across industry groups, our Centre for Advanced AI team combines deep technology, business and industry expertise to design and deliver some of the largest, most challenging and highest profile technology solutions ...

About Us We are an AI-native, VC-backed startup building a multimodal, proprietary foundation model with a profound understanding of retail, designed to hyper-personalise every shopper touchpoint. As we scale from research to production, we need robust infrastructure that makes our models reliable, reproducible, and observable … containerisation (Docker, Kubernetes) and orchestration of multi-stage ML workflows. Hands-on experience with ML platforms and tools such as MLflow, Kubeflow, Vertex AI, SageMaker, or similar model management systems. Practical knowledge of infrastructure as code, CI/CD best practices, and cloud platforms ...

high performance pipelines that ingest over 1.3 billion captures every month from millions of devices, transform and route them securely, and leverage AI technologies to denoise the data so that only the highest risk alerts are escalated to the human moderation team. This team sits at the centre … architecture and distributed system design Solid understanding of CI/CD practices and tooling Experience operating or integrating ML models , ideally using GCP Vertex AI Automation testing to help QA engineers focus on coverage rather than manual validation Terraform, GCP Build, GCP Deploy DataDog .Net Core ...

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 ...

data systems Highly Desirable Skills GCP Stack: Hands-on expertise with BigQuery, Cloud Storage, Pub/Sub, and orchestrating workflows with Composer or Vertex Pipelines. Domain Knowledge: Understanding of sports-specific data types ( event, tracking, scouting, video ) API Development: Experience building data-centric APIs using FastAPI , especially ...

scalable templates and implementing automation solutions. This role ensures seamless integration across creative workflows (DAM and Workfront tools), leverages advanced tools including generative AI, and supports cross-functional collaboration to optimise asset creation, localisation, and distribution. Job Description: Design and maintain scalable templates for global marketing assets (static … other process automation systems. Manage asset distribution and synchronisation , coordinating with QC, transcreation, and localisation teams, as well as external agencies. Leverage generative AI tools (e.g., Adobe Firefly API services, Google Vertex AI, etc.) to enhance content creation and drive efficiency in asset production. ...

Have Familiarity with Internal Developer Platforms (e.g., Backstage IDP) Understanding of GCP Data Products: Cloud SQL, GCS, Pub/Sub, Dataflow, BigQuery, Vertex AI Experience 5+ years in SRE/DevOps roles with strong cloud engineering background. Proven hands-on experience with Kubernetes and container orchestration. ...

platform (e.g. Backstage IDP) for Cloud Engineering. Good to have understanding on GCP Data Products - Cloud SQL, GCS, PubSub, Dataflow, BigQuery, Vertex AI Technologies Required - GCP DevOps, CI/CD, Terraform (IaaC), Google Cloud, Jenkins, Harness, Python Wipro is an exciting organization to work for. ...

Million or more . Bonus Analytical Skills (The 'Unicorn') Experience with advanced data analytics and BI tools, including BigQuery and/or Vertex . Ability to contribute to new reporting infrastructure and strategic business planning. Randstad Technologies is acting as an Employment Business in relation to this vacancy. ...

bold ambitions and a clear mandate to move quickly. A key part of this journey is the Intelligent Automation function, which is delivering AI and GenAI-driven optimisation across core services. This is a fantastic chance to join a growing team where your work will be visible, meaningful … NoSQL databases. Hands-on ownership of CI/CD (Jenkins/Azure DevOps/GitHub Actions) and MLOps in Azure ML/Azure AI Foundry/SageMaker/Vertex AI. Working knowledge of Infrastructure as Code (Bicep, ARM, Terraform). A test-driven development mindset ...

live. It is personal to all of us.” – Julie Sweet, Accenture CEO As a team: Working across industry groups, our Centre for Advanced AI team combines deep technology, business and industry expertise to design and deliver some of the largest, most challenging and highest profile technology solutions … projects with colleagues to drive collaboration from strategy through to implementation. You will be using the latest technologies, with a particular focus on AI and GenAI, with clients to help them get to the next level. You'll learn, grow and advance in an innovative culture that thrives ...

AI Solution Engineer/Architect You know those conversations that are punctuated with references to AI? And then everyone nods, but no one really knows what to do next? That’s where you come in. This is a brand new Technology & Innovation unit in a large … spot the business cases) and the teams who build the stuff. You’ll be a hands on software engineer/architect, who shapes AI solutions that make sense—technically and commercially—and show clients and internal teams what’s possible. You’ll also have unprecedented access to global ...

client are a private equity backed firm who are looking for a Deep AI/Agentic Engineer to lead the design and delivery of the organisations complex AI-native engagements, from agentic systems to semantic layers. Pair hands-on technical leadership with client trust, shaping both … enterprise outcomes and the firm’s long-term engineering capability. Responsibilities: You will design and build production-grade AI systems across: LLM applications using modern orchestration patterns, prompt frameworks, and evaluation loops. Multi-agent architectures , including planning, delegation, safety constraints, and monitoring. Retrieval & vector-based systems , embeddings, structured ...

deploy containerised models and support production ML workflows Working with product and risk stakeholders to identify and shape high value ML and AI use cases Operating within a clear model risk and governance framework, with room to experiment and learn Presenting findings in plain language and helping … Experience of the ML lifecycle, ideally including production or near production environments Exposure to modern cloud and analytics tooling, for example BigQuery or Vertex, and BI tools Interest in credit cards or consumer lending, and how ML and AI can improve fairness and outcomes You will ...

deploy containerised models and support production ML workflows Working with product and risk stakeholders to identify and shape high value ML and AI use cases Operating within a clear model risk and governance framework, with room to experiment and learn Presenting findings in plain language and helping … Experience of the ML lifecycle, ideally including production or near production environments Exposure to modern cloud and analytics tooling, for example BigQuery or Vertex, and BI tools Interest in credit cards or consumer lending, and how ML and AI can improve fairness and outcomes You will ...