At a Glance
- Tasks: Build and optimise secure cloud environments for cutting-edge AI solutions.
- Company: Leading financial services organisation driving AI transformation.
- Benefits: Competitive salary, attractive benefits, and hybrid working model.
- Other info: Sponsorship available for candidates currently living and working in the UK.
- Why this job: Join a forward-thinking team and work with the latest AI technologies.
- Qualifications: Experience with GCP, AI infrastructure, and strong communication skills.
The predicted salary is between 63000 - 77000 £ per year.
GCP AI Infrastructure & Cloud Engineer Role - London - £90-115k
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 as part of a specialist AI Cloud & Environments team, you will be responsible for ensuring AI developers, innovation teams and technology partners have access to scalable, compliant and highly available environments that enable the delivery of cutting-edge AI solutions.
This role combines cloud engineering, platform operations, AI infrastructure and governance, making it ideal for someone who wants to be at the forefront of enterprise AI adoption.
The Role
As the AI Infrastructure & Cloud Engineer, you will take ownership of AI-specific cloud environments across development, testing and production, ensuring they remain secure, well-governed and operationally efficient.
You will work closely with AI, infrastructure, security and compliance teams to deliver robust cloud platforms that support model hosting, vector databases, AI integrations and LLMOps capabilities.
Key Responsibilities
- Build, manage and maintain AI cloud environments across Google Cloud Platform (GCP) and Microsoft Azure.
- Support AI development, testing and production workloads including model hosting, vector databases and API gateway services.
- Implement and operate LLMOps tooling, including model registries, evaluation frameworks, monitoring pipelines and prompt management solutions.
- Configure and secure API gateways for internally developed AI services and third-party integrations, including Model Context Protocol (MCP) connectors.
- Provision and maintain sandbox and staging environments to support rapid AI development and experimentation.
- Work closely with Information Security and Compliance teams to ensure environments meet regulatory, governance and data residency requirements.
- Support incident management activities and maintain service levels across the AI platform.
- Own cloud cost governance, including budgets, quota management, spend monitoring and optimisation initiatives.
- Produce and maintain infrastructure documentation, runbooks and operational knowledge articles.
- Identify, remediate and manage security vulnerabilities and compliance risks across cloud platforms.
- Contribute to the wider infrastructure and platform engineering function as required.
About You
We're looking for a hands-on GCP cloud engineer with strong experience supporting AI and machine learning platforms in enterprise environments.
Essential Experience
- Strong hands-on experience with Google Cloud Platform, including AI and Machine Learning services such as Vertex AI, Gemini Enterprise and Gemini Agent Platform.
- Experience with Azure AI services and the broader Microsoft ecosystem, including Azure infrastructure, Microsoft 365 and Entra ID.
• Practical experience supporting AI/ML infrastructure, including
- Vector databases
- Model hosting solutions
- Serverless inference
- Containerised AI workloads
- Model versioning and evaluation pipelines
- Experience configuring and securing API gateways and AI integration services.
- Understanding of MCP (Model Context Protocol) and modern AI connector architectures.
- Strong Infrastructure-as-Code experience using Terraform.
- Experience working with CI/CD pipelines, Azure Dev Ops and Git Ops methodologies.
- Strong cloud cost management and optimisation experience.
- Scripting and automation skills using Python and/or Power Shell.
- Experience with Graph API and cloud automation tooling.
- Excellent communication skills with the ability to engage both technical and non-technical stakeholders.
Why Apply?
- Be part of a high-profile enterprise AI transformation programme.
- Work with the latest AI, cloud and LLMOps technologies.
- Join a collaborative, forward-thinking technology team within financial services.
- Competitive salary of £90,000-£115,000 plus an attractive benefits package.
- Hybrid working model with 3-4 days per week in the office.
- Sponsorship available for candidates who currently live and work in the UK.
If you're passionate about AI infrastructure, cloud engineering and enabling enterprise-scale AI innovation, we'd love to hear from you.
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GCP AI Infrastructure & Cloud Engineer - London - GBP90-115k employer: Nigel Frank
Join a forward-thinking organisation that prioritises innovation and collaboration, offering a dynamic work environment for a Senior Power Platform Developer. With a strong focus on employee growth, you will have the opportunity to lead projects, mentor fellow developers, and shape the technical direction of the company while enjoying the flexibility of a hybrid working model. This role not only provides competitive remuneration but also fosters a culture of continuous learning and development, making it an excellent choice for those seeking meaningful and rewarding employment in the tech industry.
