DevOps Engineer
Job Description
We're looking for an experienced DevOps Engineer with hands-on expertise in AI/LLM technologies to support an exciting GenAI pilot project for a secure, high-impact client. This is a 6-month contract is primarily remote with very occasional on-site requirements in London.
You must hold active SC Clearance (or have previously held SC and be highly likely to pass).
Additional Information:
- Location: UK Remote (occasional travel to London)
- Clearance: SC Cleared
- Inside IR35
- Duration: 6 months
- Start: ASAP
The Role:
This project involves setting up a brand-new environment to support the installation and operationalisation of large language models (LLMs). There’s no existing platform in place, so you’ll play a key role in shaping the CI/CD pipelines, enabling observability, and designing how to promote code across dev, UAT, and test environments, all within an on-premises, open-source ecosystem.
Key Responsibilities:
- Build and manage CI/CD pipelines for GenAI/LLM deployments
- Design and implement the full lifecycle from dev to UAT to test
- Install and configure LLMs using Langchain and Conda
- Ensure robust observability using tools like Prometheus
- Work in an on-prem environment with Kubernetes orchestration
- Collaborate with internal teams to ensure smooth code and data transfers across environments
Required Skills & Experience:
- Proven experience in DevOps for AI/LLM solutions
- Strong knowledge of Langchain, Conda, and Kubernetes
- Experience setting up and managing CI/CD pipelines
- Familiarity with Prometheus or other observability tools
- Background in deploying open-source LLM capabilities on-prem
- Active SC Clearance (preferred) or eligible to pass clearance
If you're a DevOps expert ready to lead the way on innovative GenAI pilots in a secure and fast-moving environment, we’d love to hear from you.