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 role cannot offer visa sponsorship.