Senior DevOps Engineer; Infrastructure & MLOps

Position: Senior DevOps Engineer (Infrastructure & MLOps)
Location: Greater London

# Senior Dev Ops Engineer (Infrastructure & MLOps),February 15, 2026###

Job Description
*
* Location:

** London, UK  
** Work Model:
** On-site  
** Role Type:
** Full-Time We are looking for a
** Senior Dev Ops 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
** Git Hub
* * Actions and
** Git Lab
* ** 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 Dev Ops, 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 Cloud Formation)
* Excellent communication skills and ability to collaborate with both Dev Ops and Data Science teams on-site---####
** Nice to Have
*** Direct experience with AWS Lambda and managed ML services
* Experience with database systems (SQL/No

SQL) and orchestration of data pipelines including
** Google Big Query
*** 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-Time Location,Experience level

Mid–Senior level## Work Location
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