Summary: The Machine Learning Lead role involves leading initiatives focused on deploying machine learning models to edge systems and utilizing cloud solutions for training and production. The position requires collaboration with an experienced team to develop cutting-edge machine learning solutions. The role is contract-based and emphasizes MLOps practices and monitoring of models and infrastructure. Candidates should have a strong background in production-focused ML deployments and cloud environments.

Key Responsibilities:

• Lead machine learning initiatives with a strong focus on production deployment.
• Develop and optimise ML models for edge computing and cloud-based training.
• Experience with AWS.
• Implement and maintain MLOps pipelines, particularly using ClearML.
• Monitor models and infrastructure using tools such as Grafana.
• Work with Redis and SQL databases in a cloud environment.
• Source models from platforms such as Hugging Face and work with technologies like Nvidia Edge Compute, Llamas, and Omniverse.
• Ensure all ML models and code are well-documented and explainable.

Key Skills:

• Proven experience as a Machine Learning Lead.
• Strong expertise in AWS.
• Experience in deploying ML models to edge systems and cloud-based training.
• Proficiency in Python and frameworks such as PyTorch.
• Strong knowledge of LLMs (Large Language Models) and ML modelling.
• MLOps experience, particularly with ClearML.
• Ability to monitor ML pipelines with tools such as Grafana.
• Experience working with Redis and SQL databases.
• Ability to explain, document, and optimise ML code for production environments.
• Experience working on production builds, MVPs, and proof of concepts.
• SC Clearance or the ability to obtain it.

Salary (Rate): £530

City: Bristol

Country: United Kingdom

Working Arrangements: hybrid

IR35 Status: outside IR35

Seniority Level: Senior

Industry: IT