11 of 11 Remote/Hybrid Vertex AI Jobs in the UK excluding London

part of our Group AI Team, we are scaling our internal capabilities to deliver cutting‐edge, production‐grade AI solutions across our global operations. We are establishing an "Agentic Factory" - a dedicated, high‐velocity delivery team focused on designing, building, and deploying genAI & ML solutions, multi … optimization strategies for large‐scale BigQuery environments. Relevant Qualifications Desirable: Google Cloud Certified Cloud Engineer Google Cloud Certified Professional Data Engineer/Cloud AI Engineer Degree Qualification or Equivalent: A Bachelor’s or Master’s degree in Computer Science, Software Engineering, Artificial Intelligence, or a highly quantitative field ...

AI Infrastructure & Cloud Engineer Role - London - £90-115k Location: Hybrid - 3-4 days per week in the London office Salary: £90,000 - £115,000 + benefits Sponsorship: Applications welcome from candidates requiring sponsorship, provided you are currently living and working in the UK. A leading financial services … organisation is seeking an experienced GCP AI Infrastructure & Cloud Engineer to join its growing AI function. This is a fantastic opportunity to play a critical role in building, managing and optimising the secure cloud environments that underpin a rapidly expanding AI portfolio. Working ...

About The RoleWe are actively building diverse teams and welcome applications from everyone.Role: Application Architect (AI)Location: Remote (SCC operate hybrid working, which comprises of a mix of office and home working)Contract Type: PermanentSalary Package: 85,000 - 95,000 plus large company benefits, a broad flexible benefits … hours in line with role requirementsCareer development and life-long learning opportunitiesOpportunity to join Europe's largest privately-owned IT CompanyRole purpose:The AI Application Architect is responsible for the end-to-end architecture, design and evolution of AI-enabled applications and solution patterns, ensuring alignment ...

AI Architect 6-Month contract - Inside IR35 - market rate Guildford based - hybrid working - 3 days a week on site Insurance sector What you'll be doing Design and deliver innovative Agentic AI solutions that address client challenges and create measurable business value. Lead the architecture … implementation of autonomous and multi-agent AI systems using hyperscaler AI platforms, with a strong preference for AWS-native services and patterns. Collaborate with business, technology and delivery teams to integrate AI capabilities into enterprise applications, workflows and operating models. Demonstrate modern AI ...

Lead Engineer, you will be part of our Enterprise AI engineering team to deliver secure, reliable, and innovative AI solutions across our business. In this role, you’ll be responsible for advancing our modern technology stack by building, deploying, and supporting cutting‐edge GenAI capabilities that … curiosity, and creative problem‐solving to drive continuous innovation. Partner with Principal Engineers to define and execute the strategic technical roadmap for our AI capabilities. Establish and enforce engineering standards, ensuring the platform remains stable, secure, and reliable while allowing for rapid experimentation. Drive technical excellence across ...

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 ...

problem, through solution development, to implementation and driving business adoption.Embrace agile working practices, set technical best practices, and actively invest in applying AI tools to enhance productivity and workflow efficiency.Partner with multidisciplinary agile teams—including Senior Data Scientists, ML Engineers, Analysts, and Architects—to drive technical product delivery.Internally … Expertise: Proficient in data science, with coding experience in Python and SQL, and the ability to mentor others.Technical Proficiency: Experience with ML Ops (Vertex AI), Git version control and software engineering best practices whilst using AI effectively to augment these best practices.Problem-Solving ...

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 ...

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 ...

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 ...

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 ...