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Senior Dev/ML Ops Engineer
Humanoid
London, GBR
Full-time
Senior
Onsite
Discovered 2 weeks ago
PythonTensorFlowPyTorchAWSGCPAzure
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Role Overview
We're hiring a Senior Dev/MLOps Engineer to join our Data & Compute Platform team based in London.
Key Skills for This Role
PythonTensorFlowPyTorchAWSGCPAzure
Full Job Posting
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).
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