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# Senior DevOps Engineer (Infrastructure & MLOps)

- **Company:** Talenzon group
- **Location:** London, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Bash Shell, Cloud Computing, Databases, Continuous Integration, DevOps, Github, Python (Programming Language), NoSQL, Ansible, Prometheus, Azure Machine Learning, SQL Databases, Datadog, Data Logging, Scripting, Cloud Platform System, Delivery Pipeline, Grafana, Gitlab, Cloudformation, Containerization, Kubernetes, Infrastructure Automation Frameworks, Google Bigquery, AWS Fargate, Machine Learning Operations, Terraform, Software Version Control, Data Pipelines, Docker
- **Published:** September 10, 2026
- **Apply:** https://www.collegerecruiter.com/job/2840611467-senior-devops-engineer-infrastructure--mlops

## About the Role

and **GitLab*** Build, maintain, and scale containerised applications using **Docker** and **Kubernetes** / ECS / Fargate* Implement MLOps best practices to streamline model transition from development to production* Ensure system scalability and reliability through monitoring, logging, and automated alerting using tools such as **Datadog**, **Prometheus**, **Grafana**, and **MLflow*** Collaborate with Product Engineers and Data Scientists to optimise performance, security, and infrastructure costs* Manage and evolve Infrastructure-as-Code environments---### **What We're Looking For**#### **Required Skills & Experience*** 5+ years of experience in a DevOps, SRE, or infrastructure engineering role* Expert knowledge of cloud platforms (AWS preferred; GCP or Azure also valuable)* Strong experience with containerisation technologies (Docker, ECS, Kubernetes)* Proven experience designing and managing complex CI/CD pipelines* Experience with MLOps workflows (model versioning, retraining
pipelines, feature stores)* Hands-on experience with monitoring and logging platforms* Strong scripting skills (Python required; Bash, Go, or similar beneficial)* Experience with Infrastructure-as-Code tools (Terraform, Ansible, or CloudFormation)* Excellent communication skills and ability to collaborate with both DevOps and Data Science teams on-site---#### **Nice to Have*** Direct experience with AWS Lambda and managed ML services* Experience with database systems (SQL/NoSQL) and orchestration of data pipelines including **Google BigQuery*** Knowledge of security and data privacy best practices in regulated environments (e.g. healthcare / sensitive data)* Previous experience working in fast-paced startup or scale-up environments---**Location:** London, UK **Work Model:** On-site **Role Type:** Full-TimeLocation,Experience levelMid-Senior level## Work Location
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## Description

# Senior DevOps Engineer (Infrastructure & MLOps),February 15, 2026### Job Description**Location:** London, UK **Work Model:** On-site **Role Type:** Full-TimeWe are looking for a **Senior DevOps Engineer (Infrastructure & MLOps)** with strong experience in cloud infrastructure and CI/CD automation to join our client's on-site team in London.This role focuses on designing, implementing, and managing highly available cloud infrastructure while supporting AI/ML platforms and production-grade deployment pipelines. You will work closely with engineering and data teams to deliver scalable, secure, and reliable systems.---### **What You'll Do*** Design, implement, and manage highly available infrastructure for cloud-based platforms using **Amazon Web Services*** Architect and support AI/ML infrastructure including Lambda-based workloads and managed ML environments for training, hosting, and inference* Create and automate robust deployment pipelines using CI/CD tools such as **GitHub** Actions


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