Humanoid
Senior Dev/ML Ops Engineer
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About Humanoid
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
About The Role
We're hiring a Senior Dev/MLOps Engineer to join our Data & Compute Platform team based in London.
What You’ll Do
- 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.
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What We're Looking For
- 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.
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What We Offer
- Meaningful time off to rest and recharge: 23 days of annual leave (accrued), 15 days of paid sick leave, and paid company holidays.
- Fully funded private healthcare for UK employees, with broad provider access, virtual and in-person care, and strong mental health and serious illness support.
- Equity included–we believe builders should share in what they build.
- Pension scheme with a total 8% contribution (5% employee, 3% employer) on full earnings.
- Free daily breakfast, catered lunch, and snacks in-office.
- Collaboration with top-tier engineers, researchers, and product experts in AI and robotics.
- Freedom to influence the product and own key initiatives.
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