London, UK
Senior Dev/MLOps Engineer
Humanoid is the first AI and robotics company in the UK, creating the world’s most advanced, reliable, commercially scalable, and safe humanoid robots. Our first humanoid robot HMND 01 is a next-gen labour automation unit, providing highly efficient services across various use cases, starting with industrial applications.
Our Mission
At Humanoid we strive to create the world’s leading, commercially scalable, safe, and advanced humanoid robots that seamlessly integrate into daily life and amplify human capacity.
Vision
In a world where artificial intelligence opens up new horizons, our faith in its potential unveils a new outlook where, together, humans and machines build a new future filled with knowledge, inspiration, and incredible discoveries. The development of a functional humanoid robot underpins an era of abundance and well-being where poverty will disappear, and people will be able to choose what they want to do. We believe that providing a universal basic income will eventually be a true evolution of our civilization.
Solution
As the demands on our built environment rise, labour shortages loom. With the world’s workforce increasingly moving away from undesirable tasks, the manufacturing, construction, and logistics industries critical to our daily lives are left exposed. By deploying our general-purpose humanoid robots in environments deemed hazardous or monotonous, we envision a future where human well-being is safeguarded while closing the gaps in critical global labour needs.
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.
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.
What We Offer:
- Competitive salary plus participation in our Stock Option Plan
- Paid vacation with adjustments based on your location to comply with local labor laws
- Travel opportunities to our Vancouver and Boston offices
- Office perks: free breakfasts, lunches, snacks, and regular team events
- Freedom to influence the product and own key initiatives
- Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics
- Startup culture prioritising speed, transparency, and minimal bureaucracy
How to Apply
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