51 to 69 of 69 Vertex AI Jobs in the UK

traditional manufacturing by providing engineers worldwide with instant access to reliable production methods through our digital platform. As the UK's leading Digital Manufacturing Marketplace, we offer an AI-powered B2B MaaS (Manufacturing as a Service) solution, seamlessly connecting buyers and suppliers to drive efficiency and innovation. With our headquarters in London and quality branches in India, China … innovative products. See our platform in action! About the role: This is a hybrid role that combines Data Engineering and Data Science , with a strong focus on applying AI in practical ways . You'll be responsible for everything from ingesting and transforming data to building dashboards, running experiments, and deploying lightweight AI-powered solutions into … with the product and operations teams to solve real business problems fast - with full autonomy and a mandate to make things happen. Important: This is not an academic AI/ML role. You won't be building LLMs from scratch. Instead, you'll use off-the-shelf models, prompt engineering, and smart automation to drive outcomes. Main responsibilities More ❯

founder, shaping the product and scaling the tech. What You'll Do Lead backend dev using NestJS Design scalable APIs and ERP/accounting tool integrations Work with AI tools (OpenAI, Vertex AI) Define architecture and set engineering standards Mentor junior developers What We're Looking For Strong NestJS + SaaS backend experience ERP …/accounting integration experience Solid JavaScript/TypeScript skills Comfortable owning projects end-to-end Bonus: Experience with AI APIs and frontend (Next.js/Node.js More ❯

refining the machine learning infrastructure to support business objectives. Your role will also involve optimizing workflows, integrating CI/CD pipelines, and ensuring the scalability and reliability of AI-driven solutions. Key Responsibilities : Model Deployment : Collaborate with data scientists to deploy machine learning models, ensuring quality and scalability. Pipeline Development : Build and maintain model pipelines to integrate with … Proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn) Experience with cloud platforms (AWS, GCP, Azure) Experience with CI/CD pipelines for machine learning (e.g., Vertex AI) Familiarity with data processing tools like Apache Beam/Dataflow Strong understanding of monitoring and maintaining models in production environments Experience with containerization tools (e.g., Docker More ❯

journey! As a Staff Machine Learning Engineer, youll play a pivotal role in designing, scaling, and evolving the machine learning infrastructure that powers Compare the Markets most ambitious AI products. From LLM-based personalisation to real-time optimisation systems, youll help define how models are developed, deployed, and maintained in productionreliably and responsibly. This is a high-impact … engineering to lead delivery of complex ML systems. Youll also define the core MLOps capabilities for the business and establish the standards and patterns that accelerate safe, scalable AI deployment across teams. Everyone is welcome! We have a culture of creativity. We approach our work passionately, improve constantly and celebrate our wins at every turn. We are an … production with clear interfaces and robust engineering Lead cross-team technical design sessions and architectural reviews Provide mentorship, pair programming, and code reviews for other engineers across the AI function Innovation & Culture Stay ahead of developments in MLOps, LLM infrastructure, and AI engineering best practices Influence long-term strategic direction for ML tooling and delivery across More ❯

journey! As a Staff Machine Learning Engineer, youll play a pivotal role in designing, scaling, and evolving the machine learning infrastructure that powers Compare the Markets most ambitious AI products. From LLM-based personalisation to real-time optimisation systems, youll help define how models are developed, deployed, and maintained in productionreliably and responsibly. This is a high-impact … engineering to lead delivery of complex ML systems. Youll also define the core MLOps capabilities for the business and establish the standards and patterns that accelerate safe, scalable AI deployment across teams. Everyone is welcome! We have a culture of creativity. We approach our work passionately, improve constantly and celebrate our wins at every turn. We are an … production with clear interfaces and robust engineering Lead cross-team technical design sessions and architectural reviews Provide mentorship, pair programming, and code reviews for other engineers across the AI function Innovation & Culture Stay ahead of developments in MLOps, LLM infrastructure, and AI engineering best practices Influence long-term strategic direction for ML tooling and delivery across More ❯

consultancy. At Qodea, you'll be part of a team energised by innovation and passionate about delivering exceptional results. We craft cutting-edge solutions in data and analytics, AI, cloud infrastructure and security, driving digital transformation that empowers our customers to scale, modernise and lead in their industries. We're driven by ideas and powered by our people. … big data processing tools such as Hadoop or Spark Cloud experience; GCP specifically in this case, including services such as Cloud Run, Cloud Functions, BigQuery, GCS, Secret Manager, Vertex AI etc. Experience with Terraform Prior experience in a customer-facing consultancy role would be highly desirable Experience in working with agile software engineering teams How You More ❯

consultancy. At Qodea, you'll be part of a team energised by innovation and passionate about delivering exceptional results. We craft cutting-edge solutions in data and analytics, AI, cloud infrastructure and security, driving digital transformation that empowers our customers to scale, modernise and lead in their industries. We're driven by ideas and powered by our people. … big data processing tools such as Hadoop or Spark Cloud experience; GCP specifically in this case, including services such as Cloud Run, Cloud Functions, BigQuery, GCS, Secret Manager, Vertex AI etc. Experience with Terraform Prior experience in a customer-facing consultancy role would be highly desirable Experience in working with agile software engineering teams How You More ❯

and how to write efficient, optimised code. Knowledge of the insurance industry would be an advantage but not essential. Ideally you will have experience working with the GCP vertex AI, or similar services. Nice to have experience with creating solutions using GenAI This role will be based in our London office in a 50/ More ❯

consultancy. At Qodea, you'll be part of a team energised by innovation and passionate about delivering exceptional results. We craft cutting-edge solutions in data and analytics, AI, cloud infrastructure and security, driving digital transformation that empowers our customers to scale, modernise and lead in their industries. We're driven by ideas and powered by our people. … big data processing tools such as Hadoop or Spark Cloud experience; GCP specifically in this case, including services such as Cloud Run, Cloud Functions, BigQuery, GCS, Secret Manager, Vertex AI etc. Experience with Terraform Prior experience in a customer-facing consultancy role would be highly desirable How You'll Grow Exceptional performance in this role can More ❯

pipelines using Google Cloud Dataflow (Apache Beam) or similar technologies. GCP Stack: Hands-on expertise with BigQuery , Cloud Storage , Pub/Sub , and orchestrating workflows with Composer or Vertex Pipelines. Data Architecture & Modelling: Ability to translate diverse business requirements into scalable data models and architect a data lake/lakehouse environment on GCP. Engineering Best Practices: Proficiency with More ❯

essential. Highly driven and customer-focused individual with up-to-date knowledge in the Data & Analytics sector. Advanced expertise in Cloud SQL, Informatica, Tableau, Google Products (BigQuery, Composer, Vertex AI), and APIs. Proficient in Medallion architecture, including design and delivery of its components with ACORD influenced standards. Knowledge in in-memory, appliances, event processing, cloud solutions More ❯

Senior Consultant - GenAI Are you passionate about applying Generative AI to real-world challenges? A leading global consultancy is seeking hands-on GenAI experts to join its AI Platforms team. About the Role Based in London,and across Northern Europe, the AI team designs and builds AI solutions for clients worldwide. As … with senior client stakeholders to define GenAI strategies, secure buy-in, and deliver impactful solutions. You'll collaborate with internal teams to drive digital transformation and enhance clients' AI capabilities. Key Responsibilities Shape and deliver GenAI strategies and solutions Guide client technology teams and manage project quality and risk Apply agile methods and modern IT practices Support business … software development Prior consulting experience essential Strong technical knowledge of GenAI and ML, including LLMs, RAG, MLOps, and prompt engineering Familiarity with platforms such as AWS Bedrock, Google Vertex, LangChain, or LlamaIndex Experience with both legacy systems and modern tech stacks Proven track record in agile delivery and digital transformation Excellent communication, analytical, and stakeholder management skills Willingness More ❯

Conversational AI Consultant, Google Cloud link Copy link corporate_fare Google place London, UK Mid Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. Apply link Copy link Bachelor's degree in Computer Science or equivalent practical experience. 6 years of experience building machine learning solutions and working … centers, and software infrastructure. As part of an innovative team, you will help shape the future of businesses and connect with customers, employees, and partners. As a Cloud AI Engineer, you will design and implement machine learning solutions for customer use cases, leveraging Google products including TensorFlow, DataFlow, and Vertex AI. You will identify opportunities to More ❯

The Company A well-established and specialist commercial insurer operating across domestic and international markets. The organisation offers a comprehensive portfolio of innovative risk solutions and services to businesses of all sizes, with a strong emphasis on data-driven decision More ❯

banking for good. Responsibilities: As a Data Scientist in the Machine Learning Observability & Governance team, you will play a crucial role in enabling Starling Bank to maximally exploit AI in line with its risk appetite, while ensuring ethical and responsible AI practices. Your responsibilities will include: Empowering Decision-Making through Education: Educate model owners and other … are responsible. Stakeholder Communication & Visibility: Ensure clear communication and good visibility with stakeholders such as risk teams, regarding how data scientists at Starling observe and manage ML and AI models. Observability Centre of Excellence: Support colleagues in enhancing their observability work by maintaining existing observability tooling, assisting in identifying key metrics to monitor, and providing expert advice on … internally-developed model behaviour characterisation techniques. Innovate and Implement Novel Methods: Develop and implement cutting-edge techniques and frameworks to deepen our understanding of AI and ML model behaviour, enabling the safe and effective exploitation of advanced AI. This includes contributing to initiatives such as LLM-as-a-judge, RAG evaluations, and agentic workflow assessment. To thrive in More ❯

pitstop scaling, and pricing Building operational and financial models to simulate trade-offs between cost, quality, and growth across the network Structuring fragmented datasets into usable insight using AI and programmatic approaches Embedding forecasting and planning models into live tooling used by operators, analysts, and finance teams Supporting strategic planning for new zone launches, infrastructure investment, and client … with senior stakeholders, working across functions and disciplines to drive impact Nice to haves Experience working in logistics, marketplaces, or similarly complex operational businesses Experience using LLMs or AI tools to structure and extract meaning from unstructured data Experience automating workflows and deploying model pipelines (e.g. MLFlow, GCP Vertex, Airflow, dbt or similar) Exposure to business … cover Enhanced Parental Leave: 20 weeks of fully paid maternity leave 4 weeks of fully paid paternity leave Contributory pension scheme Friday office lunches Access to cutting-edge AI tooling Hybrid working from our dog-friendly Shoreditch office Free gym membership via our co-working spaces Cycle-to-work scheme Regular team socials, events, and offsites More ❯

for most of our data infrastructure. React for customer support tooling. Feast for storing our features along a variety of tools to train and deploy models. GPT and Vertex models for Large Language Model support. We'd love to hear from you if You have a track record of technical excellence, delivering resilient systems, ideally behind consumer products. … to talk through reasonable adjustments ahead of or during application please us at any point on View email address on We have some guidelines on using Artificial Intelligence (AI) to ace an application and interview at Monzo. You can read them here. Please also use that email to let us know if there's anything we can do More ❯

our production infrastructure and GCP for most of our data infrastructure. Feast for storing our features along a variety of tools to train and deploy models. GPT and Vertex models for Large Language Model support. You have a track record guiding teams and stakeholders to prioritise things that drive important metrics and you take the lead in using … specific questions or want to talk through reasonable adjustments ahead of or during application please us at any point on We have some guidelines on using Artificial Intelligence (AI) to ace an application and interview at Monzo. You can read them here . Please also use that email to let us know if there's anything we can More ❯

key skills: Significant experience working as a Data Scientist/Machine Learning Engineer Solid knowledge of SQLandPython's ecosystem for data analysis (Jupyter, Pandas, Scikit Learn, Matplotlib). GCP, VertexAI experience is desirable (developing GCP machine learning services) Timeseries forecasting Solid understanding of computer science fundamentals, including data structures, algorithms, data modelling and software architecture Strong knowledge of Machine Learning … etc.) as well as state-of-the-art research area (e.g. NLP, Transfer Learning etc.) and modern Deep Learning algorithms (e.g. BERT, LSTM, etc.) Machine Learning Engineer, timeseries, forecasting, VertexAI, GCP Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of More ❯