126 to 150 of 163 Vertex AI Jobs in the UK

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 ...

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 ...

## AI EngineerApplylocations: Kings Cross, Londontime type: Full timeposted on: Posted 11 Days Agojob requisition id: UMG-25167Music 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 … 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. ...

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 ...

analytics usages BigQuery SQL and dbt for our data modelling and warehousingPyData stack for model development and offline deploymentGoogle Vertex AI platform for cloud computingAWS for backend infrastructure Python for ML model microservicesGo lang for most other microservicesAI toolings for productivity (an evolving list) Google suites …/EU retail lending businesses for personal/business customersExperience of ML model governance in a regulated industryExperience in leverage modern day AI tools for productivityThe Interview Process:Our interview process involves:30’ Recruiter Call45’ Initial Call60’ ML technical skill interview60’ Behavioural interviewAll interviews will be conducted through ...

analytics usages BigQuery SQL and dbt for our data modelling and warehousingPyData stack for model development and offline deploymentGoogle Vertex AI platform for cloud computingAWS for backend infrastructure Python for ML model microservicesGo lang for most other microservicesAI toolings for productivity (an evolving list) Google suites …/EU retail lending businesses for personal/business customersExperience of ML model governance in a regulated industryExperience in leverage modern day AI tools for productivityThe Interview Process:Our interview process involves:30’ Recruiter Call45’ Initial Call60’ ML technical skill interview60’ Behavioural interviewAll interviews will be conducted through ...

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 ...

your best work. Job Summary the company Incubation builds agentic systems that support the software delivery lifecycle end to end through specialized AI agents, human oversight, and enterprise-grade governance. As a Principal Engineer, you will provide technical leadership for the architecture, design, and implementation of critical platform … promoting high standards of technical excellence and craftsmanship. Security, Governance, and Operations Ensure platform designs incorporate security, privacy, compliance, auditability, and responsible AI considerations. Partner with security, governance, and architecture stakeholders to meet enterprise requirements. Drive operational excellence through monitoring, resilience, capacity planning, cost optimization, and incident readiness. ...

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 ...

Accenture is seeking an AI Engineer (Agentic/Applied) to design, build and deploy production-grade agentic AI systems across the enterprise tech stack. You will work directly with client engineering teams, lead technical design sessions, and build reusable patterns that scale beyond individual engagements. This … role emphasizes delivering production-ready solutions, owning eval harnesses, and managing performance, safety, and cost across OpenAI, Anthropic, Vertex AI, and open-source models. #J-18808-Ljbffr ...

United States Digital Space LLC is seeking a Forward Deployed Engineer (FDE) in its Cloud Consulting group to bridge frontier AI products with production-grade reality at customer sites. You will embed with accounts and ship bespoke agentic solutions directly within the customer environment, addressing integration, data readiness … state-management blockers. Join a founder-minded, high-agency team with access to DeepMind engineering, Gemini models, and Vertex AI to solve enterprise AI #J-18808-Ljbffr ...

focused initiatives, moving beyond ad-hoc analysis into scalable, repeatable solutions. The Company A large UK retail organisation undergoing a significant data and AI transformation. The business is investing in building a sustainable Data Science capability to support more advanced modelling, forecasting, and personalisation. The Role Work hands … stakeholders and explain model outputs and impact. Exposure to cloud platforms such as GCP or Azure is beneficial, with openness to tools like Vertex AI or Azure ML. What They Offer Salary up too £48,000. Hybrid working with three days per week onsite. The chance ...

Cloud is seeking a Forward Deployed Engineer to lead the end-to-end delivery of conversational AI pilots at client sites. You will transform rapid prototypes into scalable, secure AI systems, working across software engineering, ML ops, and cloud infrastructure for high-travel engagements. In this … role you’ll drive customer success for top clients, shaping CUJs, and collaborating with DeepMind/Vertex AI technologies. London-based with global travel opportunities. #J-18808-Ljbffr ...

FinOps telemetry models for agentic workloads Embedding Trust-by-Design guardrails into CI/CD pipelines What you’ll bring Deep experience with Vertex AI, Agent Engine, Apigee Strong LLM/RAG and multimodal retrieval expertise Mastery of Terraform and Google Cloud Deploy Solid grounding … mTLS A2A, Model Armor, CMEK, VPC-SC Experience delivering enterprise-scale AI or platform engineering programmes If you’re building multi-agent systems today and want to shape the enterprise foundation for tomorrow, let’s connect. . ...

into production? This is an opportunity to join a major UK retail business at a pivotal stage in its Data Science and AI transformation. With a new loyalty programme launching and significant investment into customer analytics, the business is building a scalable Data Science capability focused on real … commercial impact THE COMPANY This established UK retail brand is investing heavily across Data Science, analytics, and AI as part of a wider business transformation. The organisation is moving away from ad-hoc analytics and building a modern Data Science function capable of supporting customer personalisation, forecasting ...

thrives at the intersection of ML research infrastructure and production systems, and wants to define the engineering culture of a fast-paced AI company from the ground up. What You'll Build ML Infrastructure Leadership: Lead the ML Infrastructure team working on DevOps, MLOps, and Agent … across the organisation. What We Are Looking For MLOps & DevOps Tooling: Proven track record of working with systems such as ArgoCD, Kargo, Jenkins, Vertex AI, SageMaker, and similar platforms. ML Infrastructure Experience: Proven track record of working on ML research and production infrastructure. Infrastructure as Code ...

Trustpilot, Inc. in Edinburgh is seeking a Data Scientist to join the GTM Applied AI team on a 12-month fixed-term contract. You will develop, deploy, and maintain AI/ML models that improve go-to-market pricing and revenue management, collaborating with pricing, monetization … engineering teams. The role offers exposure to Vertex AI, BigQuery, and Airflow, plus generous benefits and a culture built on trust and inclusion. #J-18808-Ljbffr ...

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 ...

team is key to our success. We’re people-first. We value collaboration, curiosity and commitment. As a Principal Software Engineer - Applied AI ML Director at JPMorganChase within the Accelerator Business, you are the heart of this venture, focused on getting smart ideas into the hands … Required qualifications, capabilities and skills: Demonstrate proficiency in Java and/or Python programming languages Deployed production systems to GenAI platforms such as Google VertexAI, OpenAI, AWS Bedrock, or LangChain Utilized cloud technologies (AWS/Azure/GCP), distributed systems, CI/CD tools, infrastructure-as-code tools, and containerization ...

potential. Our team is key to our success. We’re people-first. We value collaboration, curiosity and commitment.As a Principal Software Engineer - Applied AI ML Director at JPMorganChase within the Accelerator Business, you are the heart of this venture, focused on getting smart ideas into the hands … utility.Required qualifications, capabilities and skills:Demonstrate proficiency in Java and/or Python programming languages Deployed production systems to GenAI platforms such as Google VertexAI, OpenAI, AWS Bedrock, or LangChain Utilized cloud technologies (AWS/Azure/GCP), distributed systems, CI/CD tools, infrastructure-as-code tools, and containerization ...

team is key to our success. We're people-first. We value collaboration, curiosity and commitment. As a Principal Software Engineer - Applied AI ML Director at JPMorganChase within the Accelerator Business, you are the heart of this venture, focused on getting smart ideas into the hands … Required qualifications, capabilities and skills: Demonstrate proficiency in Java and/or Python programming languages Deployed production systems to GenAI platforms such as Google VertexAI, OpenAI, AWS Bedrock, or LangChain Utilized cloud technologies (AWS/Azure/GCP), distributed systems, CI/CD tools, infrastructure-as-code tools, and containerization ...

operationalization of ML models - model versioning, experiment tracking, and deployment workflows. Work with data science teams to configure MLOps tooling such as Vertex AI, MLflow, Kubeflow, or similar platforms. Enable automated model retraining, drift detection, and performance monitoring pipelines. #J-18808-Ljbffr ...