DevOps Engineer

CompanyLa Fosse

LocationLondon Area, United Kingdom

Posted At11/17/2025

UK Visa Sponsorship Analytics

Occupation Type

Information technology professionals not elsewhere classified.

Occupation Code Skill LevelHigher Skilled

Sponsorship Salary Threshold

£52,300 (£26.82 per hour)

Occupation rate applies

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Description

DevOps Engineer – Computer Vision Scale-Up

London based but can offer remote work

I’m partnered with a rapidly growing AI business working at the forefront of computer vision, data privacy, and secure visual intelligence. They’re expanding their engineering function and are looking for a DevOps Engineer to join their team and help scale their platform.

This is a brilliant role for someone who enjoys autonomy, problem-solving, and working closely with a highly technical leadership team.

The Role

You’ll be working across cloud infrastructure, CI/CD, monitoring and automation, supporting a platform that processes high-volume video and ML workloads. You’ll collaborate directly with the CTO and engineering teams to improve reliability, deployment speed, and overall platform performance.

What You’ll Be Doing

Building and improving cloud infrastructure (AWS or Azure) using IaC such as Terraform/Bicep
Enhancing CI/CD pipelines and release automation (GitHub Actions, Jenkins, GitLab etc.)
Designing and implementing monitoring, logging and alerting (Prometheus, Grafana, cloud-native tools)
Supporting ML-driven services, serverless functions and data pipelines
Improving automation and DevOps best practices across the engineering team
Helping define platform architecture as the company scales

What They’re Looking For

Strong commercial experience with AWS or Azure in production environments
Solid Infrastructure as Code (Terraform, Bicep, CloudFormation, etc.)
Hands-on with CI/CD, build/release pipelines, and automation
Exposure to containers and orchestration (Docker, Kubernetes, ECS/AKS)
Experience with monitoring / observability
Interest in AI, ML pipelines, or MLOps (experience highly beneficial but not essential)
Someone who enjoys ownership, autonomy and working in a small, smart engineering team

Why it’s a great move

High-impact role working directly with engineering leadership
Opportunity to work in a fast-growing AI/ML domain
Lots of influence across tooling, processes and future platform direction
Strong culture, supportive team, and room for progression