Machine Learning Operations (MLOps) Engineer

About the Role

Our client is seeking a skilled Machine Learning Operations (MLOps) Engineer to join their dynamic team in Bristol . This role is crucial for bridging the gap between machine learning model development and production deployment, ensuring seamless and efficient operation of ML systems. You will be responsible for building and maintaining robust pipelines for model training, deployment, monitoring, and management. This is an excellent opportunity for an engineer passionate about automating and streamlining the ML lifecycle, enabling faster iteration and more reliable delivery of AI solutions within a collaborative and forward-thinking technology environment.

Key Responsibilities

• Design, build, and maintain scalable MLOps pipelines for CI/CD of machine learning models.
• Implement infrastructure for model training, versioning, and deployment.
• Develop and manage systems for monitoring model performance and detecting drift in production.
• Automate the deployment and scaling of machine learning services.
• Collaborate with data scientists and software engineers to ensure smooth integration of ML models.
• Optimize ML workflows for efficiency, reliability, and cost-effectiveness.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 3+ years of experience in DevOps, SRE, or MLOps roles.
• Proficiency with cloud platforms (AWS, Azure, GCP) and their ML services.
• Experience with containerization technologies (Docker, Kubernetes).
• Strong scripting skills (e.g., Python, Bash) and familiarity with CI/CD tools (e.g., Jenkins, GitLab CI).
• Understanding of machine learning concepts and workflows.

Benefits

• Competitive salary and performance-based incentives.
• Comprehensive health, dental, and vision coverage.
• Generous paid time off and flexible working arrangements.
• Opportunities for professional development and training in cutting-edge MLOps practices.
• A collaborative team culture focused on innovation and operational excellence in Bristol .