H
Posted 19 hours ago
Senior Dev/ML Ops Engineer
HumanoidSenior Dev/ML Ops Engineer
Perks & benefits
Annual LeavePaid LeaveHealth Insurance
Requirements
Senior-level DevOps/MLOps experience, Python proficiency, TensorFlow or PyTorch familiarity, Cloud platforms (AWS, GCP, or Azure), Docker and Kubernetes, CI/CD systems, Terraform or Helm
Skills
PythonKubernetesMLOps
About the role
About the Company
Humanoid is on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. Their HMND-01 Alpha platform is already running in real industrial pilots.
Responsibilities
- Own and manage the full lifecycle of ML models and core infrastructure
- Build and maintain robust CI/CD pipelines for software and ML workflows
- Ensure reliability, scalability, observability, and security of production systems
- Automate deployment, orchestration, and environment management
- Collaborate with software engineers, data scientists, and product teams
- Detect, troubleshoot, and resolve infrastructure and model performance issues
- Document infrastructure, workflows, and operational procedures
Requirements
- Senior-level experience in DevOps, MLOps, or infrastructure engineering
- Proficiency in Python
- Familiarity with TensorFlow or PyTorch
- Deep experience with cloud platforms (AWS, GCP, or Azure)
- Experience with Docker and Kubernetes
- Understanding of CI/CD systems (GitHub Actions, GitLab CI, ArgoCD)
- Experience with infrastructure-as-code (Terraform, Helm)
- Familiarity with ETL pipelines and data lakes
- Strong debugging skills across distributed systems
Benefits
- 23 days annual leave and 15 days paid sick leave
- Fully funded private healthcare for UK employees
- Equity packages
- Pension scheme with 8% total contribution
- Free daily breakfast, catered lunch, and snacks in-office
ScoutJobs Agent
Get matches like this delivered daily
Sign up free — we'll pull jobs that fit your CV from across the web and rank them for you.
Get started — it's freeSenior Dev/ML Ops Engineer
Humanoid · London
