Senior Dev/MLOps Engineer at Humanoid in London Area, United Kingdom | Kablio

Role

Description

ml lifecycle

issue resolution

ci/cd pipelines

automation

system reliability

documentation

Own and manage the full lifecycle of both ML models and core infrastructure – from development and deployment to monitoring and continuous improvement.
Proactively detect, troubleshoot, and resolve infrastructure and model performance issues.
Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics
Collaborate closely with software engineers, data scientists, and product teams to bring ML-powered features to production.
Ensure reliability, scalability, observability, and security of production systems and ML infrastructure.
Build and maintain robust CI/CD pipelines for both software and ML workflows.
Automate deployment, orchestration, and environment management using modern DevOps tooling.
Stay up to date with industry best practices in DevOps, MLOps, and infrastructure engineering.
Document infrastructure, workflows, and operational procedures clearly and thoroughly.

Requirements

python

tensorflow

docker

kubernetes

aws

terraform

Strong proficiency in Python and familiarity with ML frameworks such as TensorFlow or PyTorch.
Freedom to influence the product and own key initiatives
Strong debugging and problem-solving skills across distributed systems.
Ability to design scalable, secure, and observable systems in fast-moving environments.
Deep experience with cloud platforms (AWS, GCP, or Azure) and container orchestration tools (Docker, Kubernetes).
Excellent collaboration and communication skills, with experience working in cross-functional teams.
Familiarity with data engineering concepts such as ETL pipelines, data lakes, and large-scale batch/stream processing.
Solid understanding of CI/CD systems (e.g., GitHub Actions, GitLab CI, ArgoCD) and infrastructure-as-code tools (e.g., Terraform, Helm).
Understanding of security and compliance best practices for both software and ML systems.
Proven experience in a senior-level DevOps, MLOps, or related infrastructure-focused engineering role.

Benefits

Paid vacation with adjustments based on your location to comply with local labor laws
Travel opportunities to our Vancouver and Boston offices
Competitive salary plus participation in our Stock Option Plan
Office perks: free breakfasts, lunches, snacks, and regular team events

Training + Development

Information not given or found

Interview process

Information not given or found

Visa Sponsorship

Information not given or found

Security clearance

Information not given or found

Company

Overview

Since 2024

Year Founded

The company was established by Artem Sokolov to address real-world automation challenges with next-gen robots.

130+ Engineers

Experienced Team

The company has assembled a team of world-class engineers and researchers across multiple locations.

2025 Launch

Prototype Release

Planned to release the HMND 01 prototype for market testing and deployment.

15 kg Capacity

Load-bearing Ability

The robot can carry up to 15 kg, walk at 1.5 m/s, and operate for 4 hours on a single charge. It stands at 175 cm tall with both wheeled and bipedal configurations.

Blends advanced AI, multimodal vision reasoning, and modular hardware into a robust platform targeting logistics, manufacturing, and retail.
The company pivots on commercial impact—solving repetitive physical tasks in real settings, not just lab experiments.
A cinematic teaser video set the tone for its vision: human-robot coexistence in everyday environments.
A standout is its modular design allowing interchangeable platforms—wheeled or legged—aimed at rapid and affordable deployment.

Culture + Values

We foster a collaborative environment where we build, learn, and grow together.
We believe in developing technology that benefits humanity.
Our team is empowered to innovate, create, and execute with a shared passion for progress.
We encourage open communication and transparency in all our efforts.
We are driven by curiosity and a desire to solve the world's toughest problems.

Environment + Sustainability

2030

Net Zero Target

Aiming to reach net zero carbon emissions by the year 2030.

Strive to minimize our carbon footprint through energy-efficient technology and sustainable practices.
Prioritize eco-friendly materials and processes in our product development.
Support renewable energy initiatives and actively reducing waste in our operations.
Goal is to be a leader in sustainability within the tech industry by fostering innovation with minimal environmental impact.

Inclusion & Diversity

Promotes a diverse and inclusive workplace where everyone feels valued and respected.
Committed to equal opportunity and creating a space where all employees can thrive.
Strives to reflect diversity in hiring practices and encourage diverse perspectives in teams.

Articles

Careers

Product – HMND 01

News – Humanoid released new video featuring HMND 01

Role

Description

ml lifecycle

issue resolution

ci/cd pipelines

automation

system reliability

documentation

Own and manage the full lifecycle of both ML models and core infrastructure – from development and deployment to monitoring and continuous improvement.
Proactively detect, troubleshoot, and resolve infrastructure and model performance issues.
Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics
Collaborate closely with software engineers, data scientists, and product teams to bring ML-powered features to production.
Ensure reliability, scalability, observability, and security of production systems and ML infrastructure.
Build and maintain robust CI/CD pipelines for both software and ML workflows.
Automate deployment, orchestration, and environment management using modern DevOps tooling.
Stay up to date with industry best practices in DevOps, MLOps, and infrastructure engineering.
Document infrastructure, workflows, and operational procedures clearly and thoroughly.

Requirements

python

tensorflow

docker

kubernetes

aws

terraform

Strong proficiency in Python and familiarity with ML frameworks such as TensorFlow or PyTorch.
Freedom to influence the product and own key initiatives
Strong debugging and problem-solving skills across distributed systems.
Ability to design scalable, secure, and observable systems in fast-moving environments.
Deep experience with cloud platforms (AWS, GCP, or Azure) and container orchestration tools (Docker, Kubernetes).
Excellent collaboration and communication skills, with experience working in cross-functional teams.
Familiarity with data engineering concepts such as ETL pipelines, data lakes, and large-scale batch/stream processing.
Solid understanding of CI/CD systems (e.g., GitHub Actions, GitLab CI, ArgoCD) and infrastructure-as-code tools (e.g., Terraform, Helm).
Understanding of security and compliance best practices for both software and ML systems.
Proven experience in a senior-level DevOps, MLOps, or related infrastructure-focused engineering role.

Benefits

Paid vacation with adjustments based on your location to comply with local labor laws
Travel opportunities to our Vancouver and Boston offices
Competitive salary plus participation in our Stock Option Plan
Office perks: free breakfasts, lunches, snacks, and regular team events

Training + Development

Information not given or found

Interview process

Information not given or found

Visa Sponsorship

Information not given or found

Security clearance

Information not given or found

Company

Overview

Since 2024

Year Founded

The company was established by Artem Sokolov to address real-world automation challenges with next-gen robots.

130+ Engineers

Experienced Team

The company has assembled a team of world-class engineers and researchers across multiple locations.

2025 Launch

Prototype Release

Planned to release the HMND 01 prototype for market testing and deployment.

15 kg Capacity

Load-bearing Ability

The robot can carry up to 15 kg, walk at 1.5 m/s, and operate for 4 hours on a single charge. It stands at 175 cm tall with both wheeled and bipedal configurations.

Blends advanced AI, multimodal vision reasoning, and modular hardware into a robust platform targeting logistics, manufacturing, and retail.
The company pivots on commercial impact—solving repetitive physical tasks in real settings, not just lab experiments.
A cinematic teaser video set the tone for its vision: human-robot coexistence in everyday environments.
A standout is its modular design allowing interchangeable platforms—wheeled or legged—aimed at rapid and affordable deployment.

Culture + Values

We foster a collaborative environment where we build, learn, and grow together.
We believe in developing technology that benefits humanity.
Our team is empowered to innovate, create, and execute with a shared passion for progress.
We encourage open communication and transparency in all our efforts.
We are driven by curiosity and a desire to solve the world's toughest problems.

Environment + Sustainability

2030

Net Zero Target

Aiming to reach net zero carbon emissions by the year 2030.

Strive to minimize our carbon footprint through energy-efficient technology and sustainable practices.
Prioritize eco-friendly materials and processes in our product development.
Support renewable energy initiatives and actively reducing waste in our operations.
Goal is to be a leader in sustainability within the tech industry by fostering innovation with minimal environmental impact.

Inclusion & Diversity

Promotes a diverse and inclusive workplace where everyone feels valued and respected.
Committed to equal opportunity and creating a space where all employees can thrive.
Strives to reflect diversity in hiring practices and encourage diverse perspectives in teams.

Articles

Careers

Product – HMND 01

News – Humanoid released new video featuring HMND 01