Senior Dev/ML Ops Engineer

Humanoid

We're hiring a Senior Dev/MLOps Engineer to join our Data & Compute Platform team based in London.

Own and manage the full lifecycle of both ML models and core infrastructure - from development and deployment to monitoring and continuous improvement.
Build and maintain robust CI/CD pipelines for both software and ML workflows.
Ensure reliability, scalability, observability, and security of production systems and ML infrastructure.
Automate deployment, orchestration, and environment management using modern DevOps tooling.
Collaborate closely with software engineers, data scientists, and product teams to bring ML-powered features to production.
Proactively detect, troubleshoot, and resolve infrastructure and model performance issues.
Stay up to date with industry best practices in DevOps, MLOps, and infrastructure engineering.
Document infrastructure, workflows, and operational procedures clearly and thoroughly.

Proven experience in a senior-level DevOps, MLOps, or related infrastructure-focused engineering role.
Strong proficiency in Python and familiarity with ML frameworks such as TensorFlow or PyTorch.
Deep experience with cloud platforms (AWS, GCP, or Azure) and container orchestration tools (Docker, Kubernetes).
Solid understanding of CI/CD systems (e.g., GitHub Actions, GitLab CI, ArgoCD) and infrastructure-as-code tools (e.g., Terraform, Helm).
Familiarity with data engineering concepts such as ETL pipelines, data lakes, and large-scale batch/stream processing.
Ability to design scalable, secure, and observable systems in fast-moving environments.
Strong debugging and problem-solving skills across distributed systems.
Excellent collaboration and communication skills, with experience working in cross-functional teams.
Understanding of security and compliance best practices for both software and ML systems.