Advanced Research Engineer
We're seeking an experienced 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.
Key Responsibilities
- 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.
We're looking for an experienced AI \& Data Science Engineer with
- 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.
- 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).
- Strong analytical and problem\-solving mindset.
- Ability to collaborate in cross\-functional engineering teams.
- Clear communication and documentation skills.
- Curiosity about how data, models, and system components interact.
The Manufacturing Technology Centre (MTC) was established in 2010 as an independent Research \& Technology Organisation (RTO) with the objective of bridging the gap between academia and industry – often referred to as ‘the valley of death’.
It represents one of the largest public sector investments in UK manufacturing and, after four years of planning and a 16 month build, the facility opened at Ansty Park in Coventry at the end of 2011\.
In December 2011, there were 16 industrial members, 44 staff and just a few key pieces of equipment in the ‘workshop’.
Over the following seven years the MTC’s rapid growth has seen the expansion of our campus with the construction of three more facilities, including the opening of the Advanced Manufacturing Training Centre and the National Centre for Additive Manufacturing.
Our role has also increased to cover not only R\&D but also Training, Advanced Manufacturing Management and Factory Design.
We now have over 700 talented employees working with us.
During this time we have helped hundreds of companies across a range of industries and over 100 of them have become members of the MTC.
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