51 to 75 of 92 Vertex AI Jobs in London

support flexible working – for more information on flexible working options Flexible Working Options Hybrid Working, Job Share Job Description JOB TITLE: AI Security Engineering Lead SALARY: £92,701 - £115,000 per annum (outside London) £107,304 - £130,000 per annum (London) LOCATION: Leeds, Bristol, Edinburgh, Manchester, London HOURS … plays a critical role in safeguarding the Group against an increasingly complex threat landscape while supporting its vision of helping Britain prosper. As AI reshapes both opportunity and risk, we are strengthening our capability to secure the Group’s rapidly expanding AI ecosystem. We are looking ...

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 ...

Location: London, United Kingdom Industry: Insurance Overview We are seeking an AI Platform Engineer to design, build and operate a secure, scalable AI/ML platform supporting insurance use cases including pricing, claims automation, fraud detection, customer analytics and document intelligence. You will partner with engineering … Java/Scala, with clean coding, testing and code review practices. Hands-on experience with MLOps tools such as MLflow, Kubeflow, SageMaker, Vertex AI, Databricks, or equivalent. Proven experience with Kubernetes, Docker, Helm and infrastructure as code (Terraform/CloudFormation). Cloud experience with AWS, Azure ...

Position Overview We are seeking a Senior Machine Learning Engineer to design, deploy, and optimize our next-generation Conversational AI and Data Analytics platforms. You will bridge the gap between AI research and production engineering. Your primary focus will be optimizing and scaling core Speech … Language Model (LLM, SLM) pipelines across hybrid cloud and local edge environments. Key Responsibilities Pipeline Deployment & Architecture Deploy AI Pipelines: Build production-grade, low-latency pipelines for ASR, TTS, and Small Language Models (SLMs). Hybrid Deployment: Manage deployment topologies across multi-cloud environments and bare-metal local ...

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). ...

NASDAQ: EXLS) is a global data and artificial intelligence ("AI") company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. EXL harnesses the power of data, AI, and deep industry knowledge to transform businesses, including the world … working) Employment Type: Permanent Summary of the role: We are looking for a highly capable and innovative Data Scientist with experience in Generative AI to join our Data Science Team. You will lead the development and deployment of GenAI solutions, including LLM-based applications, prompt engineering, fine-tuning ...

with some experience in ML Engineering being advantageous. The candidate will demonstrate expert proficiency in Google Cloud Platform’s (GCP) latest ML/AI tooling, including, but not limited to: Vertex AI BigQuery Gemini APIs The candidate will also work closely with our Lead … Technology Group is spread across Europe and North America. This is an exciting opportunity to shape the future of our ML/AI roadmap for a group at the forefront of electronic music and DJ culture. As a Senior Data Scientist, you will be responsible for: Developing ...

strategic and operational levels. Experience interfacing with, and being a trusted partner for, C-level executives in partner companies. Proficiency with Google Cloud AI offerings (Vertex AI, Gemini, ADK) and familiarity with modern multi-agent systems (e.g., LangGraph, CrewAI), coding agents, and open-source … Sales teams, and technology Leadership, gathering real-world field insights and technical bottlenecks directly from partner deployments, helping synthesizing feedback back to internal cloud AI product and Engineering teams. TPBN1_UKTJ ...

strategic and operational levels. Experience interfacing with, and being a trusted partner for, C-level executives in partner companies. Proficiency with Google Cloud AI offerings (Vertex AI, Gemini, ADK) and familiarity with modern multi-agent systems (e.g., LangGraph, CrewAI), coding agents, and open-source … Sales teams, and technology Leadership, gathering real-world field insights and technical bottlenecks directly from partner deployments, helping synthesizing feedback back to internal cloud AI product and Engineering teams. ...

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 ...

hackajob is partnering directly with Google to hire for this role. 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 … massive product vehicle reaching billions. Our talent density and AI-powered tools drive rapid development, rooted in a culture of empowerment and a bias to action. In this role, you aren't just building technology you're shaping the frontier of enterprise and driving the evolution of advanced ...

hackajob is partnering directly with Google to hire for this role. 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 … massive product vehicle reaching billions. Our talent density and AI-powered tools drive rapid development, rooted in a culture of empowerment and a bias to action. In this role, you aren't just building technology; you're shaping the frontier of enterprise and driving the evolution of advanced ...

global technology company, home to more than 220,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services … lead a small team to do the same. You build exclusively in Python using agent development kits, and you bring Agentic AI capabilities to life inside the client's world, with Responsible AI, evaluation and security as non-negotiables. Technology mandate Language: Python preferable Frameworks: Agent ...

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 ...

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 ...

Veson Nautical empowers the global maritime industry to navigate complexity on all sides of the trade. Veson's platform combines AI-driven workflows, trusted data, and seamless collaboration, to deliver the insight and context needed for confident, competitive decision-making. The Opportunity As a Principal Site Reliability Engineer … intelligence platform, tracking over 23,000 vessels in real time to deliver accurate, timely market intelligence to drive decision making Shipfix - using proprietary AI-driven tools to infer cargo and vessel information, extracting, anonymizing, and aggregating billions of data points with near real-time processing of email exchanges ...

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. ...

functional teams internally and externally. Experience interfacing with, and being a trusted partner for, C-level executives in partner companies. Proficiency with Google Cloud AI offerings (e.g., Vertex AI, Gemini, ADK) and familiarity with modern multi-agent systems (e.g., LangGraph, CrewAI), coding agents … Sales teams, and technology Leadership, gathering real-world field insights and technical bottlenecks directly from partner deployments, helping synthesizing feedback back to internal Cloud AI Product and Engineering teams. ...

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 ...

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 ...

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 ...

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 ...