MLOps Engineer: AI Deployment & Data Solutions (Hybrid)

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.<...

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