MLOps engineer

An exciting opportunity is available for an experienced MLOps / RLOps Developer to join a dynamic team working on innovative projects within the robotics and AI sector. This position is ideal for someone who has a passion for AI and machine learning operations, with strong expertise in developing, deploying, and maintaining scalable AI/ML systems.

Key Responsibilities:

• Manage the full lifecycle of AI/ML models, from initial development through to deployment and ongoing monitoring.
• Ensure the reliability, scalability, and security of machine learning infrastructure.
• Establish and maintain CI/CD pipelines for automated testing, integration, and model deployment.
• Provide technical guidance to data scientists and engineers on MLOps best practices.
• Troubleshoot and resolve issues related to infrastructure and model performance.

Desired Skills & Experience:

• Proven background in MLOps or RLOps with a comprehensive understanding of AI/ML workflows + 2 years
• Proficiency in Python and experience working with machine learning frameworks such as TensorFlow or PyTorch.
• Strong hands-on experience with AWS and container orchestration tools like Kubernetes.
• Strong knowledge of CI/CD processes and Terraform.
• Familiarity with data pipelines and data annotation workflows.

Ideal Candidate Profile:

The role is well-suited for professionals with experience in building and scaling AI/ML models in production environments.

Why Join?

• Competitive salary of up to £120,000 for the right candidate.
• Flexible working environment with a balance of in-office and remote work.
• Opportunity to work on advanced technologies and cutting-edge projects.
• Collaborative and innovative team culture.

For more information, feel free to apply or reach out directly to me.

This rolecannotoffer visa sponsorship.