151 to 175 of 189 Vertex AI Jobs in England

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 ...

food moment around the world, whether it’s through customer service, coding or couriers. The opportunity: A Senior Engineer opportunity within our Enterprise AI team. Working with a group of other Engineers to design, build, and deploy cutting‐edge AI‐powered solutions that drive business value … across the organisation. The Senior Engineer is responsible for delivering a roadmap of improvements, focusing on the full lifecycle of AI applications, from initial prototyping to production‐grade deployments. These are some of the key ingredients to the role: Design, develop, and deploy high‐quality, scalable software solutions ...

priorities include digital transformation, operational excellence and customer experience, all aimed at driving growth and enhancing efficiency. The Role You will take our AI stack and lead its development and customisation for the market. This is a builder and do-er role. You will design, test and implement … practical and compliant agentic AI solutions on top of foundation models document understanding, classification support, retrieval over our own procedures and tariff material, and agents that carry multi-step operational work end to end. You are not being asked to train models from scratch. You are being asked ...

/B testing) to isolate true business impacts from baseline operational noise. Uphold strict compliance with data governance, privacy legislation, and ethical AI frameworks. More about you Skills, Qualifications and Experience Key Skills & Experience: Programming & Development: Strong programming capabilities in Python or R (or transferable languages such … methodologies and scoping Minimum Viable Products (MVPs). Desirable: Cloud Platforms: Hands-on experience deploying data science solutions on Google Cloud Platform (BigQuery, Vertex AI, GCP storage) or AWS/Azure. Advanced Data Science Techniques: Exposure to advanced methods such as Natural Language Processing (NLP), deep ...

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. Key Responsibilities and Skills: Integrate and Scale: Extend, scale, monitor, and manage our ever-growing … 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 ...

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 … deliver them end-to-end, from first principles through to being deployment-ready and beyond.WHAT YOU'LL BE DOINGEnd-to-End ML & AI Delivery: Lead data science initiatives from problem framing through to deployment, monitoring, and iteration — delivering the full production lifecycle. With no dedicated ML engineering function ...

production and drove real business value? Are you ready to shape how one of the UK's largest retailers uses customer data and AI? A major UK retail business is investing heavily in its Data & AI capabilities and is building a scalable Data Science function … Location: Knowsley (Liverpool) • Working Model: Hybrid (3 days per week onsite) • Tech Stack: Python, SQL, Machine Learning, GCP/Azure (desirable), Vertex AI, Azure ML • Visa Sponsorship: Not available Interested? Please apply below. ...

## AI DeveloperApply: Kings Cross, London: Full time: Posted 2 Days Ago: UMG-26841Music is Universal It’s the passionate and dedicated team at Universal Music who help make us the world’s leading music company. From A&R to finance, legal to digital, sales to marketing, Universal … video, audio) ML pipelines.* Proficiency in Python and common AI/ML libraries (e.g., PyTorch, Hugging Face Transformers, LangChain) and cloud frameworks (VertexAI, Bedrock, Sagemaker).* Strong proficiency in Git, CI/CD workflows, and containerization (Docker/Kubernetes).* Proficiency with Linux environments and cloud platforms (e.g. ...

Managed Service Providers and overseeing technical delivery. Experience with data ingestion, cloud data architecture and ideally Medallion architecture. Exposure to Google Cloud Composer, Vertex AI or other GCP AI tooling would be highly desirable. Strong communication skills with the confidence to engage technical ...

Jobtailor is seeking a Technical Leader to design and scale agentic AI systems, drive enterprise-grade LLM deployment, and define engineering excellence in collaboration with architecture and product teams. The role focuses on mentoring engineers, delivering MVPs to production, and shaping the AI strategy across … business. You'll work with GCP Vertex AI, LangGraph, LangChain, and MLOps pipelines to ensure scalable, secure, and cost-effective solutions. #J-18808-Ljbffr ...

core stack includes: Python | Go | TypeScript GCP | Kubernetes | ArgoCD | GitHub Actions PostgreSQL | BigQuery | Vector Databases | Blob Storage REST | GraphQL | gRPC Pub/Sub | Vertex AI Prometheus | Grafana | Sentry What matters is that you've already worked on serious Back End systems and that the technology above … side of engineering - deployments, monitoring, incidents, observability and production performance. Evolving Improving existing architecture rather than accepting technical debt as inevitable. Experimenting Using AI and new engineering tools to find better and faster ways of solving problems. Essential Skills Required: Backend development using Python, Go, TypeScript or similar ...

evolve early-stage ideas into future growth initiatives.It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll leverage Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. … provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering ...

cloud‐based application development (AWS & Azure). Familiarity with one or more ML frameworks and technologies: scikit‐learn, xgboost, TensorFlow, PyTorch, Spark, SageMaker, Vertex AI, Kubeflow, Seldon, Triton. Strong communication skills, able to express ideas clearly and collaborate across teams. #J-18808-Ljbffr ...

based application development (we use AWS & Azure)Familiarity with one or more ML frameworks and technologies: scikit-learn, xgboost, TensorFlow, PyTorch, Spark, SageMaker, Vertex AI, Kubeflow, Seldon, TritonStrong communication skills, able to express ideas clearly and collaborate across teamsAdditional InformationBring all of you to workWe create ...

umbrella Fully remote 6 month initial Apply today to join a forward-thinking, tech-driven FTSE 100 organisation using data science and AI to enhance customer experience, optimise supply chains and drive sustainable growth. With 40% of sales from sustainable products, this is a company that combines scale … Python (Pandas, Scikit-learn, Jupyter, Matplotlib). Data transformation & manipulation : experience with Airflow, DBT and Kubeflow Cloud: Experience with GCP and Vertex AI (developing ML services). Expertise: Solid understanding of computer science fundamentals and time-series forecasting. Machine Learning: Strong grasp of ML and deep ...

Strong client-facing and stakeholder management skills Bonus Google Cloud Professional Data Engineer or Cloud Architect certification Experience with Dataplex, Data Catalog or Vertex AI Experience within large-scale enterprise transformation programmes ...

with AIS (vessel-tracking) data - desirable, but not a deal-breaker if the rest of your background is strong. Familiarity with GCP (BigQuery, Vertex AI) or equivalent cloud data platforms. Experience with geospatial tooling and libraries (e.g., QGIS, GDAL, GeoPandas). Experience with PyTorch, scikit-learn ...

global payment network. You will work at the intersection of ML, graph-based detection and behavioural modelling, building production-ready systems on GCP Vertex AI using Python, SQL and BigQuery. You will collaborate with Engineers, Fraud Analysts and Product Managers to shape the technical roadmap ...

Description: AI & Data Science Engineer We are seeking an AI & Data Science Engineer with a strong foundation in Python and a growing interest in machine learning, data processing, and intelligent system design. In addition to hands‐on model development and data work, you will contribute … early‐stage system definition, requirements analysis, and integration planning. You will help build AI models, data pipelines, analytics tools that support decision‐making and system‐level intelligence across multidisciplinary engineering projects. Key Responsibilities Develop ML models for prediction, classification, anomaly detection, and decision support. Build and maintain data ...

will accomplish this through close cross-functional collaboration and teamwork with Strategic Negotiators, varying Technical Program Mangers and Network Engineers 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 … customers, and 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 ...

Understanding of the digital advertising ecosystem and how messaging serves as a conversion channel. Knowledge of Dialogflow CX/ES, webhooks, and Gemini (Vertex AI) integration for conversational experiences. About The Job As a member of the Android and Business Communication (ABC) Partner Engineering team ...

partner teams.Understanding of the digital advertising ecosystem and how messaging serves as a conversion channel.Knowledge of Dialogflow CX/ES, webhooks, and Gemini (Vertex AI) integration for conversational experiences.As a member of the Android and Business Communication (ABC) Partner Engineering team, you will ...

exclusively partnering with Connect Managed Services to recruit a Machine Learning Engineer to help design, deploy and scale the next generation of Conversational AI and data analytics platforms. This is a hands-on engineering position sitting at the intersection of Machine Learning, Generative AI and production … models across cloud and edge environments. The successful candidate will work on production-grade ASR, TTS, LLM and Small Language Model pipelines , taking AI capabilities from development through to highly available, low-latency production environments. The Role As a Machine Learning Engineer, you will be responsible for building ...

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 our unique collection ...