AI/ML Engineer
| Posting date: | 05 June 2026 |
|---|---|
| Salary: | £42,800 to £54,000 per year |
| Hours: | Full time |
| Closing date: | 05 July 2026 |
| Location: | UK |
| Remote working: | Fully remote |
| Company: | LOCAL JACK LTD |
| Job type: | Permanent |
| Job reference: |
Summary
Purpose: Build, train, and deploy predictive models for asset maintenance, cleaning optimisation, and anomaly detection within the JackTools platform.
Key responsibilities:
• Develop ML pipelines using TensorFlow, PyTorch, and AWS SageMaker
• Design predictive maintenance and cleaning algorithms based on IoT sensor telemetry
• Fine-tune models for accuracy, interpretability, and explainability
• Collaborate with backend and data engineers on API integration
• Maintain model retraining cycles and evaluate AI model drift over time
Skills and qualifications required:
• Degree in Computer Science, Data Science or related discipline (Bachelor's minimum, Master's preferred)
• Commercial ML model development experience, ideally with IoT/time-series data
• Hands-on expertise in Python, TensorFlow, PyTorch, AWS SageMaker
• Understanding of MLOps lifecycle, model explainability frameworks (SHAP, LIME)
Key responsibilities:
• Develop ML pipelines using TensorFlow, PyTorch, and AWS SageMaker
• Design predictive maintenance and cleaning algorithms based on IoT sensor telemetry
• Fine-tune models for accuracy, interpretability, and explainability
• Collaborate with backend and data engineers on API integration
• Maintain model retraining cycles and evaluate AI model drift over time
Skills and qualifications required:
• Degree in Computer Science, Data Science or related discipline (Bachelor's minimum, Master's preferred)
• Commercial ML model development experience, ideally with IoT/time-series data
• Hands-on expertise in Python, TensorFlow, PyTorch, AWS SageMaker
• Understanding of MLOps lifecycle, model explainability frameworks (SHAP, LIME)