Data/Machine Learning Ops Engineer

Location

Erskine, Scotland, Hybrid

Security Clearance level

SC

Eligibility

Candidates must be UK national/sole British citizens and resided in the UK for 5 years or over.

Key Responsibilities

• Strong proficiency in Python and ML libraries such as pandas, NumPy, scikit-learn, XGBoost, LightGBM, CatBoost, TensorFlow, Keras, PyTorch.
• Experience with model deployment and serving tools: ONNX, TensorRT, TensorFlow Serving, TorchServe.
• Familiarity with ML lifecycle tools: MLflow, Kubeflow, Azure ML Pipelines.
• Experience working with distributed data processing using PySpark.
• Solid understanding of software engineering principles and version control (e.g., Git).
• Excellent problem‑solving skills and ability to work independently or in a team.
• Collaborate with cross‑functional teams to integrate AI solutions into scalable products.
• Ensure best practices...