Senior Dev/ML Ops Engineer at Humanoid (London, United Kingdom)
Humanoid· London, United Kingdom·
Role details
23 Days Annual Leave · 15 Days Paid Sick Leave · Paid Company Holidays · Private Healthcare · Equity · Pension Scheme With 8% Contribution · Free Daily Breakfast, Catered Lunch, And Snacks · Mental Health Support
Humanoid at a glance
Humanoid builds commercially scalable, safe humanoid robots to automate labor-intensive industrial tasks in warehousing, logistics, and manufacturing.
Designs and builds general-purpose humanoid robots (the HMND 01 platform) that automate physical industrial tasks like goods handling, picking and packing, and kitting, orchestrated by an in-house AI fleet framework called KinetIQ.
Approximately $30M self-funded by founder Artem Sokolov; a ~$200M Series A was in talks as of early 2026 (not closed) raised · latest: Series A (in talks, ~$200M, no valuation set) as of February 2026 · backed by Artem Sokolov (founder, sole shareholder)
Summary
The Senior Dev/MLOps Engineer will own the full lifecycle of ML models and core infrastructure, building robust CI/CD pipelines and ensuring reliability and security. This role involves collaborating with engineering teams to deploy ML-powered features, automating workflows, and maintaining scalable systems within a...
Job description
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.
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.
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.
Why work at Humanoid
- High-growth environment: Company grew headcount by 139% in a single year, indicating rapid scaling and opportunity for career advancement. 65+ open roles suggest strong hiring momentum.
- Talent from top robotics firms: Team includes alumni from Boston Dynamics, Sanctuary AI, Dyson, Ocado Technology, Arrival, Wayve, and others — offering a deep learning and collaboration environment.
- Technical focus: Engineering and technical roles represent 38% of the workforce, with senior-level hires at 23% of the team. The company emphasizes hardware, AI, machine learning, and control systems.
- Mission-driven: Clear purpose to automate undesirable, unsafe, and repetitive work — appealing to candidates who want to make a tangible societal impact.
- Global presence: Offices in London (HQ), Cambridge (USA), and Burnaby (Canada), plus operations in 16 countries — offering potential for international mobility and remote collaboration.
- Innovation culture: Described as a place where engineers and researchers “move from demo to deployment” and “not just in the lab.” The CTO emphasizes building systems that perform in the real world from day one.
- Office/Hybrid policy: Not explicitly stated, but the company has physical offices in three countries and a distributed team across 16 nations — likely supports hybrid/remote with in-office collaboration for engineering roles.