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Advanced Research Engineer

United Kingdom, Coventry Employment contract 3500.00 - 4000.00 GBP / Month · Job Posted June 04, 2026
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Job Description

We are seeking a Junior AI & Data Science Engineer with a strong foundation in Python and a growing interest in machine learning, data processing, and intelligent system design. In addition to hands‑on model development and data work, you will contribute to early‑stage system definition, requirements analysis, and integration planning. You will help build AI models, data pipelines, analytics tools that support decision‑making and system‑level intelligence across multidisciplinary engineering projects.

Job Responsibility

  • Develop ML models for prediction, classification, anomaly detection, and decision support
  • Build and maintain data pipelines for structured, unstructured, and sensor-derived datasets
  • Implement Python modules for model training, evaluation, and deployment workflows
  • Create simple UI tools using Python frameworks for visualising data, model outputs, and system status
  • Support data engineering tasks including feature extraction, dataset curation, and data quality checks
  • Participate in model optimisation, benchmarking, validation, and documentation
  • Work with senior engineers to elicit, clarify, and document AI-related requirements
  • Research COTS AI tools, cloud services, and data-processing technologies for potential integration
  • Contribute to system architecture by defining data flows, module interactions, and integration points
  • Support integration testing and system-level debugging across data, software, and hardware boundaries

Requirements

  • Python proficiency with experience in NumPy, Pandas, and scikit-learn
  • Understanding of ML fundamentals and interest in model development and evaluation
  • Understanding of data pipelines, analytics workflows, and intelligent systems
  • Ability to interpret technical requirements and translate them into actionable tasks
  • Interest in system-level thinking and multidisciplinary engineering

Nice to have

  • Familiarity with deep learning using TensorFlow or PyTorch
  • Knowledge of data visualisation and dashboarding tools
  • Experience with system diagrams and interface documentation
  • Exposure to MLOps, CI/CD, or model deployment pipelines
  • Exposure to cloud ML platforms such as Azure ML, AWS Sagemaker, or GCP Vertex AI
  • Experience with Python UI frameworks (Tkinter, PySide, PyQt)

What we offer

  • Competitive Salary
  • Excellent Pension Scheme
  • Flexible Working

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