Machine Learning Engineer

• Industrialise and operate AI/ML solutions by transforming prototypes into scalable, production-ready applications.

• Design, implement, and maintain end-to-end MLOps pipelines covering training, validation, deployment, monitoring, and retraining.

• Collaborate closely with Data Scientists, Data Engineers, Software Engineers, Product Managers, and business stakeholders to deliver AI solutions.

• Ensure reliability, security, compliance, data integrity, performance, and governance throughout the machine learning lifecycle.

• Monitor and optimise model performance, troubleshoot production issues, and support continuous improvement while mentoring less experienced colleagues.

• MSc in Computer Science or a STEM field with a strong computer science focus, plus experience working in agile software development environments.

• Strong Python programming skills and hands-on experience with machine learning frameworks such as PyTorch, TensorFlow, or Scikit-learn.

• Solid understanding of MLOps practices, including model deployment, versioning, monitoring, and lifecycle management in production environments.

• Experience with cloud platforms (preferably Azure), containerisation technologies (Docker), APIs, databases, and distributed systems.

• Knowledge of data engineering and data processing frameworks; experience with industrial IoT, time-series data, computer vision, or Physics-AI solutions is advantageous.

For HR agencies: Please note that we do not accept applications coming from agencies. Thank you.