ML Engineer

Summary: The role of ML Engineer involves developing and deploying machine learning models in a hybrid work environment in London. The position requires a strong proficiency in Python and experience with various ML frameworks and deployment techniques. The contract duration is for 9 months, and the role is classified as inside IR35. Candidates should have 3-4 years of relevant experience in the field.

Key Responsibilities:

• Develop and deploy machine learning models in production-ready environments.
• Pre-process and feature engineer data, including cleaning, transformation, and feature extraction.
• Utilize frameworks such as TensorFlow, PyTorch, or Keras for building complex ML models.
• Implement containerization and orchestration techniques using tools like Docker and Kubernetes.
• Ensure model interpretability and explainability using techniques such as SHAP and LIME.

Key Skills:

• Proficiency in Python and familiarity with popular libraries.
• Experience with ML frameworks (e.g., TensorFlow, PyTorch, Keras).
• Knowledge of data pre-processing and feature engineering.
• Ability to deploy models in production environments.
• Familiarity with model interpretability techniques.

Salary (Rate): £700 daily

City: London

Country: United Kingdom

Working Arrangements: hybrid

IR35 Status: inside IR35

Seniority Level: Mid-Level

Industry: IT