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 MissionAt 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.VisionIn 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.SolutionAs 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.Lead MLOps Engineer (Staff-level) is a high-impact role in a fast-growing company, owning the ML infrastructure and MLOps foundations as products and teams scale. You will turn ML prototypes into reliable production systems, define pragmatic standards, and enable fast, safe delivery of ML-powered features. The role combines hands-on engineering, architectural ownership, and close collaboration with engineering and product teams.What You’ll DoOwn and scale the company’s ML infrastructure and MLOps foundations.Design pragmatic, production-ready architectures balancing speed, reliability, and cost.Build and maintain CI/CD pipelines for ML and application workflows.Productionize ML models: training, evaluation, deployment, monitoring, and rollback.Ensure reliability, observability, security, and performance of ML systems.Automate infrastructure, deployments, and environment management using cloud-native tooling.Partner closely with ML, engineering, and product teams to ship ML features end to end.Act as a technical leader through design reviews, mentorship, and setting engineering standards.Proactively detect and resolve infrastructure, data, and model performance issues.Document systems and workflows to support team growth and scalability.We’re Looking ForLead or staff-level experience in MLOps, DevOps, or Infrastructure Engineering, preferably in startups.Strong Python skills and hands-on experience with ML frameworks (PyTorch, TensorFlow, or similar).Experience with cloud platforms (AWS, GCP, or Azure).Production experience with Docker and Kubernetes.Solid knowledge of CI/CD (GitHub Actions, GitLab CI, ArgoCD) and Infrastructure as Code (Terraform, Helm).Understanding of data engineering fundamentals and ML lifecycle management.Ability to design scalable systems without over-engineering.Strong debugging and problem-solving skills in distributed systems.Ownership mindset and strong communication skills.What We OfferCompetitive salary plus participation in our Stock Option PlanPaid vacation with adjustments based on your location to comply with local labor lawsTravel opportunities to our Vancouver and Boston officesOffice perks: free breakfasts, lunches, snacks, and regular team eventsFreedom to influence the product and own key initiativesCollaboration with top‑tier engineers, researchers, and product experts in AI and roboticsStartup culture prioritising speed, transparency, and minimal bureaucracyHow to ApplyDoes this role sound like the perfect fit for you?Fill in the form and include links or files that showcase the best of what you’ve built and achieved.