Senior Dev/MLOps Engineer (Robotics)

TL;DR

Senior Dev/MLOps Engineer (Robotics): Managing the lifecycle of ML models and core infrastructure for commercially scalable hirify.global robots with an accent on CI/CD, cloud platforms, reliability, and observability. Focus on automating deployments, operating distributed systems, and solving complex infrastructure and model performance challenges in production.

Location: On-site in London, UK

Company

hirify.global develops safe, commercially scalable hirify.global robots, including the HMND-01 Alpha platform used in industrial pilots.

What you will do

• Own the full lifecycle of ML models and core infrastructure from development and deployment through monitoring and continuous improvement.
• Build and maintain CI/CD pipelines for software and ML workflows.
• Design reliable, scalable, observable, and secure production systems and ML infrastructure.
• Automate deployment, orchestration, and environment management with modern DevOps tooling.
• Collaborate with software engineers, data scientists, and product teams to deliver ML-powered features.
• Detect, troubleshoot, and resolve infrastructure and model performance issues while documenting operational procedures.

Requirements

• Senior-level experience in DevOps, MLOps, or infrastructure-focused engineering.
• Strong Python skills and familiarity with TensorFlow or PyTorch.
• Deep experience with AWS, GCP, or Azure, plus Docker and Kubernetes.
• Experience with CI/CD systems such as GitHub Actions, GitLab CI, or ArgoCD, and infrastructure-as-code tools such as Terraform or Helm.
• Understanding of ETL pipelines, data lakes, and large-scale batch or stream processing.
• Strong distributed-systems debugging, security, compliance, collaboration, and communication skills.

Culture & Benefits

• 23 days of accrued annual leave, 15 days of paid sick leave, and paid company holidays.
• Fully funded private healthcare for UK employees, including mental health and serious illness support.
• Equity participation and a pension scheme with an 8% total contribution.
• Free daily breakfast, catered lunch, and snacks in the office.
• Collaboration with engineers, researchers, and product experts in AI and robotics.
• Opportunity to influence the product and own key initiatives.