51 to 75 of 86 Vertex AI Jobs

Contract Type: Contract Duration: 6–12 months (possibility of extension) Start Date: ASAP Overview We are seeking an experienced Machine Learning Engineer to join our data science and AI engineering team on a contract basis in London. The ideal candidate will be responsible for designing, developing, and deploying machine learning models and scalable data pipelines that support advanced … combining flexibility with collaboration, and is ideal for a contractor who thrives in fast-paced, data-driven environments. Key Responsibilities Design, build, and deploy machine learning models and AI-driven solutions to address business challenges. Collaborate with data scientists to transition prototypes into production-ready systems . Develop and maintain end-to-end ML pipelines for data ingestion … retraining processes to ensure continuous improvement. Collaborate cross-functionally with engineering, data, and product teams to integrate ML solutions into production environments. Stay current with emerging trends in AI/ML technologies and contribute to innovation within the organisation. Required Skills & Experience Proven experience (3–5+ years) as a Machine Learning Engineer , Data Scientist , or similar role. Strong More ❯

connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. FS Technology Consulting - AI and Data - Data Engineer - Senior Consultant/Manager - Dublin/Cork/Limerick/Galway General Information Location: Dublin, Cork, Limerick, or Galway. Available for VISA Sponsorship: No Business … RBAC. AWS: Experience with S3, Glue, Redshift, and Lambda. Familiarity with IAM, CloudWatch, and Athena. Experience with BigQuery, Cloud Storage, and Dataflow. Familiarity with Cloud Functions, IAM, and Vertex AI (optional). Experience in one or more of the following Data Platforms: Microsoft: Experience with Azure Data Factory for orchestrating data workflows. Proficiency in Azure Synapse More ❯

systems and infrastructure. Experience with machine learning, C++ and Python. Preferred qualifications: Master's degree in Computer Science or a related technical field. Experience with system design, Generative AI Agent. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our … You will play a pivotal role in building a team to ensure the deployment of GenAI across Google is as easy, economical, and as fast as possible. The AI and Infrastructure team works on the world's toughest problems, redefining what's possible and the possible easy. We empower Google customers by delivering AI and Infrastructure … Googlers, Googler Cloud customers, and billions of Google users worldwide. We're at the center of amazing work at Google by being the "flywheel" that enables our advanced AI models, delivers computing power across global services, and offers platforms that developers use to build services. In AI and Infrastructure, we shape the future of hyperscale computing More ❯

and strategically minded Solutions Architect to drive the technical direction and governance of our core domain initiatives. This role requires a strong blend of modern technology expertise (GCP, AI/ML, Core Banking), rigorous architectural governance, and the ability to influence strategy through commercial acumen and Agile principles. The Solution Architect partners with product and technical teams to … need from you? Industry Experience: Proven track record of architecting within Financial Services or other highly regulated industries. Technical Depth: Desired experience with cloud and modern FinTech/AI solutions (e.g., Vertex AI, Thought Machine, Flowable, or similar Core Banking/Workflow tools). Delivery Mastery: Deep understanding and practical application of Product-oriented More ❯

and strategically minded Solutions Architect to drive the technical direction and governance of our core domain initiatives. This role requires a strong blend of modern technology expertise (GCP, AI/ML, Core Banking), rigorous architectural governance, and the ability to influence strategy through commercial acumen and Agile principles. The Solution Architect partners with product and technical teams to … need from you? Industry Experience: Proven track record of architecting within Financial Services or other highly regulated industries. Technical Depth: Desired experience with cloud and modern FinTech/AI solutions (e.g., Vertex AI, Thought Machine, Flowable, or similar Core Banking/Workflow tools). Delivery Mastery: Deep understanding and practical application of Product-oriented More ❯

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 … creating the world's most innovative products. 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 ❯

Position: Product Owner AI/ML Strategy (Onsite)Location: Phoenix, AZ Duration: 12+ Months Job Description Experience: 5+ years in product management, preferably in travel, finance, or lifestyle platforms Key Skills & Expertise: Proven experience managing data-driven products and working knowledge of ML principles and model lifecycle. Strong grasp of customer segmentation, targeting, recommendation, and real-time personalization … with Tableau/Power BI and basic Python. Understanding of ML tools (ML Studio, GitHub Copilot, Elastic Search), model explainability (SHAP, LIME), and cloud platforms (GCP including BigQuery, Vertex AI). Knowledge of data pipelines, ETL/ELT, and software/model development lifecycles. Experience with security, compliance (GDPR, data privacy), model governance, and risk management. … Excellent communication, stakeholder management, and presentation skills. Responsibilities: Define and drive product strategy and roadmap for AI/ML-powered personalization products. Collaborate with data science and engineering teams to build, deploy, and monitor ML models impacting customer experiences. Translate data insights and model outputs into actionable product features across planning, booking, marketing, servicing, and lifestyle applications. Partner More ❯

Location : Hybrid/London or Peterborough Team : Data & AI Why this role matters At Compare the Market, we're applying AI to real-world problems that help millions of people make smarter financial decisions. As a Machine Learning Engineer, you'll work at the heart of this transformation—building the infrastructure and tooling that enables our … Have Practical experience deploying ML models into production environments Strong Python development skills and understanding of ML model structures Familiarity with tools such as MLflow, Airflow, SageMaker, or Vertex AI Understanding of CI/CD concepts and basic infrastructure automation Ability to write well-tested, maintainable, and modular code Strong collaboration skills and a growth mindset … or workflow engines (e.g. Argo, Airflow) Familiarity with real-time model deployment, streaming data, or event-driven systems (e.g. Kafka, Flink) Interest in MLOps, model governance, and responsible AI practices Understanding of basic model evaluation, drift detection, and monitoring techniques Why Join Us? You'll work on meaningful problems using modern tooling, surrounded by smart, supportive people. We More ❯

We're partnering with an established AI consultancy seeking a Contract Machine Learning Engineer (NLP) to lead an NLP project for a major utilities client. You'll develop and deploy transformer models, LLMs, and RAG pipelines to extract insights from unstructured data. Remote, outside IR35, £650/day. Contract Machine Learning Engineer (NLP - Utilities Sector) Rate: £650/… day IR35: Outside Location: Remote (occasional travel to Cambridge) Duration: 6 months (initial) Our client is a specialist AI consultancy with a growing client base and an expanding portfolio of project types across multiple industries. As they scale, their internal team is being deployed onto several new accounts - and they're now seeking a Contract Machine Learning Engineer … Face Transformers. Build or enhance retrieval-augmented generation (RAG) systems using LangChain and vector databases like FAISS, Weaviate, or Pinecone. Package and deploy solutions via Docker, Kubernetes, or Vertex AI/SageMaker. Collaborate with internal MLOps and Data Science teams to ensure robustness, monitoring, and CI/CD alignment. Communicate progress clearly with stakeholders and deliver More ❯

hands-on experience using libraries such as Pandas, Scikit-Learn, Jupyter, and Matplotlib. Proficient in SQL for data extraction and transformation. Experience with Google Cloud Platform (GCP) and Vertex AI for developing and deploying ML services is highly desirable. Solid understanding of time series analysis and forecasting techniques. Strong foundation in computer science principles - data structures More ❯

with a Global Digital Transformation Consultancy who are a GCP Solutions Provider. They are seeking a highly motivated and talented graduate to join our team as a Trainee AI Solutions Developer. The successful candidate will play a pivotal role in developing internal AI solutions that we intend to bring to market, and the individual will help … lead the design & development of that work in client projects. This role requires a fast learner with a strong technical background and practical AI experience. Responsibilities Develop and implement internal AI solutions from concept to deployment. Contribute to client projects, applying AI expertise to solve specific business needs. Utilise Google Cloud Platform and Google … Workspace to build efficient and scalable AI-driven productivity tools. Stay abreast of emerging AI technologies and trends to ensure our solutions remain at the forefront of innovation. Collaborate with cross-functional teams to gather requirements, design solutions, and deliver high-quality products. Qualifications Degree: Bachelor's or Master's degree in a STEM (Science, Technology More ❯

with a Global Digital Transformation Consultancy who are a GCP Solutions Provider. They are seeking a highly motivated and talented graduate to join our team as a Trainee AI Solutions Developer. The successful candidate will play a pivotal role in developing internal AI solutions that we intend to bring to market, and the individual will help … lead the design & development of that work in client projects. This role requires a fast learner with a strong technical background and practical AI experience. Responsibilities Develop and implement internal AI solutions from concept to deployment. Contribute to client projects, applying AI expertise to solve specific business needs. Utilise Google Cloud Platform and Google … Workspace to build efficient and scalable AI-driven productivity tools. Stay abreast of emerging AI technologies and trends to ensure our solutions remain at the forefront of innovation. Collaborate with cross-functional teams to gather requirements, design solutions, and deliver high-quality products. Qualifications Degree: Bachelor's or Master's degree in a STEM (Science, Technology More ❯

with a Global Digital Transformation Consultancy who are a GCP Solutions Provider. They are seeking a highly motivated and talented graduate to join our team as a Trainee AI Solutions Developer. The successful candidate will play a pivotal role in developing internal AI solutions that we intend to bring to market, and the individual will help … lead the design & development of that work in client projects. This role requires a fast learner with a strong technical background and practical AI experience. Responsibilities Develop and implement internal AI solutions from concept to deployment. Contribute to client projects, applying AI expertise to solve specific business needs. Utilise Google Cloud Platform and Google … Workspace to build efficient and scalable AI-driven productivity tools. Stay abreast of emerging AI technologies and trends to ensure our solutions remain at the forefront of innovation. Collaborate with cross-functional teams to gather requirements, design solutions, and deliver high-quality products. Qualifications Degree: Bachelor's or Master's degree in a STEM (Science, Technology More ❯

with a Global Digital Transformation Consultancy who are a GCP Solutions Provider. They are seeking a highly motivated and talented graduate to join our team as a Trainee AI Solutions Developer. The successful candidate will play a pivotal role in developing internal AI solutions that we intend to bring to market, and the individual will help … lead the design & development of that work in client projects. This role requires a fast learner with a strong technical background and practical AI experience. Responsibilities Develop and implement internal AI solutions from concept to deployment. Contribute to client projects, applying AI expertise to solve specific business needs. Utilise Google Cloud Platform and Google … Workspace to build efficient and scalable AI-driven productivity tools. Stay abreast of emerging AI technologies and trends to ensure our solutions remain at the forefront of innovation. Collaborate with cross-functional teams to gather requirements, design solutions, and deliver high-quality products. Qualifications Degree: Bachelor's or Master's degree in a STEM (Science, Technology More ❯

with a Global Digital Transformation Consultancy who are a GCP Solutions Provider. They are seeking a highly motivated and talented graduate to join our team as a Trainee AI Solutions Developer. The successful candidate will play a pivotal role in developing internal AI solutions that we intend to bring to market, and the individual will help … lead the design & development of that work in client projects. This role requires a fast learner with a strong technical background and practical AI experience. Responsibilities Develop and implement internal AI solutions from concept to deployment. Contribute to client projects, applying AI expertise to solve specific business needs. Utilise Google Cloud Platform and Google … Workspace to build efficient and scalable AI-driven productivity tools. Stay abreast of emerging AI technologies and trends to ensure our solutions remain at the forefront of innovation. Collaborate with cross-functional teams to gather requirements, design solutions, and deliver high-quality products. Qualifications Degree: Bachelor's or Master's degree in a STEM (Science, Technology More ❯

About Us We are an AI-native, VC-backed startup building a multimodal, proprietary foundation model with a profound understanding of retail, designed to hyper-personalise every shopper touchpoint. As we scale from research to production, we need robust infrastructure that makes our models reliable, reproducible, and observable at scale. As a Senior MLOps Engineer, you will own … serving real users. Strong proficiency in containerisation (Docker, Kubernetes) and orchestration of multi-stage ML workflows. Hands-on experience with ML platforms and tools such as MLflow, Kubeflow, Vertex AI, SageMaker, or similar model management systems. Practical knowledge of infrastructure as code, CI/CD best practices, and cloud platforms (AWS, GCP, or Azure). Experience More ❯

About Us We are an AI-native, VC-backed startup building a multimodal, proprietary foundation model with a profound understanding of retail, designed to hyper-personalise every shopper touchpoint. As we scale from research to production, we need robust infrastructure that makes our models reliable, reproducible, and observable at scale. As a Senior MLOps Engineer, you will own … serving real users. Strong proficiency in containerisation (Docker, Kubernetes) and orchestration of multi-stage ML workflows. Hands-on experience with ML platforms and tools such as MLflow, Kubeflow, Vertex AI, SageMaker, or similar model management systems. Practical knowledge of infrastructure as code, CI/CD best practices, and cloud platforms (AWS, GCP, or Azure). Experience More ❯

About Us We are an AI-native, VC-backed startup building a multimodal, proprietary foundation model with a profound understanding of retail, designed to hyper-personalise every shopper touchpoint. As we scale from research to production, we need robust infrastructure that makes our models reliable, reproducible, and observable at scale. As a Senior MLOps Engineer, you will own … serving real users. Strong proficiency in containerisation (Docker, Kubernetes) and orchestration of multi-stage ML workflows. Hands-on experience with ML platforms and tools such as MLflow, Kubeflow, Vertex AI, SageMaker, or similar model management systems. Practical knowledge of infrastructure as code, CI/CD best practices, and cloud platforms (AWS, GCP, or Azure). Experience More ❯

About Us We are an AI-native, VC-backed startup building a multimodal, proprietary foundation model with a profound understanding of retail, designed to hyper-personalise every shopper touchpoint. As we scale from research to production, we need robust infrastructure that makes our models reliable, reproducible, and observable at scale. As a Senior MLOps Engineer, you will own … serving real users. Strong proficiency in containerisation (Docker, Kubernetes) and orchestration of multi-stage ML workflows. Hands-on experience with ML platforms and tools such as MLflow, Kubeflow, Vertex AI, SageMaker, or similar model management systems. Practical knowledge of infrastructure as code, CI/CD best practices, and cloud platforms (AWS, GCP, or Azure). Experience More ❯

About Us We are an AI-native, VC-backed startup building a multimodal, proprietary foundation model with a profound understanding of retail, designed to hyper-personalise every shopper touchpoint. As we scale from research to production, we need robust infrastructure that makes our models reliable, reproducible, and observable at scale. As a Senior MLOps Engineer, you will own … serving real users. Strong proficiency in containerisation (Docker, Kubernetes) and orchestration of multi-stage ML workflows. Hands-on experience with ML platforms and tools such as MLflow, Kubeflow, Vertex AI, SageMaker, or similar model management systems. Practical knowledge of infrastructure as code, CI/CD best practices, and cloud platforms (AWS, GCP, or Azure). Experience More ❯

and CI/CD for data systems Highly Desirable Skills GCP Stack: Hands-on expertise with BigQuery, Cloud Storage, Pub/Sub, and orchestrating workflows with Composer or Vertex Pipelines. Domain Knowledge: Understanding of sports-specific data types ( event, tracking, scouting, video ) API Development: Experience building data-centric APIs using FastAPI , especially in serverless environments (e.g., Google App More ❯

and CI/CD for data systems Highly Desirable Skills GCP Stack: Hands-on expertise with BigQuery, Cloud Storage, Pub/Sub, and orchestrating workflows with Composer or Vertex Pipelines. Domain Knowledge: Understanding of sports-specific data types ( event, tracking, scouting, video ) API Development: Experience building data-centric APIs using FastAPI , especially in serverless environments (e.g., Google App More ❯

and CI/CD for data systems Highly Desirable Skills GCP Stack: Hands-on expertise with BigQuery, Cloud Storage, Pub/Sub, and orchestrating workflows with Composer or Vertex Pipelines. Domain Knowledge: Understanding of sports-specific data types ( event, tracking, scouting, video ) API Development: Experience building data-centric APIs using FastAPI , especially in serverless environments (e.g., Google App More ❯

This is a unique opportunity to work at the cutting edge of AI, data technology, and elite football analytics. As a Data Scientist, you’ll join a collaborative, high-performing team with a culture rooted in creativity, innovation, and excellence. In this role, you’ll design and deploy data models that power decision-making across every area of … analysts, and execs Highly Desirable Skills Football Analytics Experience : Familiarity with football-specific datasets (event, tracking, positiona l), and libraries like mplsoccer Advanced MLOps & Modelling : Experience with the Vertex AI ecosystem, especially pipelines, and advanced techniques such as player valuation , tactical modelling , etc. Bayesian Modelling : Knowledge of probabilistic programming (e.g., PyMC ) for uncertainty-aware predictions Stakeholder More ❯

This is a unique opportunity to work at the cutting edge of AI, data technology, and elite football analytics. As a Data Scientist, you’ll join a collaborative, high-performing team with a culture rooted in creativity, innovation, and excellence. In this role, you’ll design and deploy data models that power decision-making across every area of … analysts, and execs Highly Desirable Skills Football Analytics Experience : Familiarity with football-specific datasets (event, tracking, positiona l), and libraries like mplsoccer Advanced MLOps & Modelling : Experience with the Vertex AI ecosystem, especially pipelines, and advanced techniques such as player valuation , tactical modelling , etc. Bayesian Modelling : Knowledge of probabilistic programming (e.g., PyMC ) for uncertainty-aware predictions Stakeholder More ❯