La Fosse

DevOps Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a DevOps Engineer focused on cloud infrastructure and CI/CD in a computer vision AI scale-up. Contract length exceeds 6 months, with a remote work option. Key skills include AWS/Azure, Terraform, CI/CD, and monitoring tools.
🌎 - Country
United Kingdom
πŸ’± - Currency
Β£ GBP
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πŸ’° - Day rate
409
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πŸ—“οΈ - Date
November 18, 2025
πŸ•’ - Duration
More than 6 months
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🏝️ - Location
Remote
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πŸ“„ - Contract
Fixed Term
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Azure #Terraform #Logging #Kubernetes #Prometheus #AWS (Amazon Web Services) #AI (Artificial Intelligence) #Observability #GitLab #Cloud #Data Privacy #Monitoring #Docker #Automation #Deployment #Leadership #Grafana #DevOps #Infrastructure as Code (IaC) #ML (Machine Learning) #Jenkins #Data Pipeline #Containers #GitHub
Role 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 β€’ Building and improving cloud infrastructure (AWS or Azure) using IaC such as Terraform/Bicep β€’ Enhancing CI/CD pipelines and release automation (GitHub Actions, Jenkins, GitLab etc.) β€’ Designing and implementing monitoring, logging and alerting (Prometheus, Grafana, cloud-native tools) β€’ Supporting ML-driven services, serverless functions and data pipelines β€’ Improving automation and DevOps best practices across the engineering team β€’ Helping define platform architecture as the company scales What They’re Looking For β€’ Strong commercial experience with AWS or Azure in production environments β€’ Solid Infrastructure as Code (Terraform, Bicep, CloudFormation, etc.) β€’ Hands-on with CI/CD, build/release pipelines, and automation β€’ Exposure to containers and orchestration (Docker, Kubernetes, ECS/AKS) β€’ Experience with monitoring / observability β€’ Interest in AI, ML pipelines, or MLOps (experience highly beneficial but not essential) β€’ Someone who enjoys ownership, autonomy and working in a small, smart engineering team Why it’s a great move β€’ High-impact role working directly with engineering leadership β€’ Opportunity to work in a fast-growing AI/ML domain β€’ Lots of influence across tooling, processes and future platform direction β€’ Strong culture, supportive team, and room for progression