151 to 175 of 192 Vertex AI Jobs

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 ...

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 ...

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 ...

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. ...

Date Wednesday 16 September 2026. Salary Range £92,701 - £109,060. We support flexible working – Job Description Summary. 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 … What we’re looking for? Experience operating as a senior security engineer and leading engineering initiatives in a DevSecOps environment. Strong expertise securing AI and ML systems at scale, including model lifecycle security, data pipelines, and secure deployment. Strong hands‐on experience with machine learning stacks, such ...

## 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. ...

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. ...

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 ...

ixolabs.ai is seeking an MLOps Engineer for AI training to build scalable pipelines, registries, and rollback plans. You will review code across Kubeflow, MLflow, SageMaker, Vertex AI & Azure ML and improve CI/CD for ML workflows. Ideal candidates bring multiple cloud ML platform ...

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 ...

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 ...

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 ...

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 ...

looking for A proven commercial track record taking MLmodels from prototype through to production Strong experience with Google Cloud Platform, BigQuery and Vertex AI Strong Python and SQL skills Experience in feature engineering, statistical validation and modelevaluation Comfortable working with messy, imperfect real-world data rather ...

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 ...

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 ...

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 ...

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 ...

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 ...

spend. 30M+ customers and 500+ ecosystem partners run on us. Licensed in the U.S. Regulated across the UK, EU, Canada, and Australia. AI is the default operating mode here. It's woven into every role, and we expect you to use it daily. It handles the manual work … attack patterns and emerging abuse without existing labels, identifying suspicious behavior relative to historical baselines. Familiarity with our stack: GCP, BigQuery, Bigtable, Memorystore, Vertex AI, Kubernetes. Benefits & Perks Competitive salary package Equity package: financial freedom starts with our employees, so all employees have ownership at MoonPay ...

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 ...