We are looking for an ambitious AI & Data Science Engineer to join our growing engineering team. This is an exciting opportunity for someone with a strong foundation in Python and a passion for machine learning, data science, and intelligent systems.
In this role, you'll contribute to the development of AI-driven solutions, data pipelines, and analytics tools that support decision-making across multidisciplinary engineering projects. You'll work closely with experienced engineers to help define requirements, design system integrations, and develop innovative technologies that turn complex data into actionable insights.
Whether you're building machine learning models, creating data visualisation tools, or supporting system-level architecture discussions, you'll play a key role in delivering intelligent solutions that make a real impact.
What You'll Be Doing
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Develop machine learning models for prediction, classification, anomaly detection, and decision support.
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Build and maintain data pipelines for structured, unstructured, and sensor-derived datasets.
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Develop Python-based modules for model training, evaluation, and deployment.
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Create intuitive tools and user interfaces to visualise data, model outputs, and system performance.
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Support data engineering activities, including feature extraction, dataset preparation, and data quality validation.
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Contribute to model optimisation, benchmarking, testing, and documentation.
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Collaborate with senior engineers to gather, define, and document AI and data requirements.
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Evaluate commercial off-the-shelf (COTS) AI technologies, cloud services, and data processing solutions.
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Support system architecture activities by defining data flows, interfaces, and integration points.
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Assist with integration testing and troubleshooting across software, hardware, and data environments.
What We're Looking For
Essential Skills & Experience
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Strong Python programming skills.
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Experience with libraries such as NumPy, Pandas, and scikit-learn.
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Understanding of machine learning principles and model development methodologies.
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Knowledge of data pipelines, analytics workflows, and intelligent systems.
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Ability to interpret technical requirements and convert them into practical solutions.
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Interest in systems engineering and multidisciplinary technology environments.
Desirable Skills
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Experience with TensorFlow or PyTorch.
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Knowledge of data visualisation and dashboarding tools.
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Familiarity with system architecture diagrams and interface documentation.
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Exposure to MLOps practices, CI/CD pipelines, and model deployment frameworks.
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Experience with cloud-based ML platforms such as Azure Machine Learning, AWS SageMaker, or Google Vertex AI.
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Knowledge of Python UI frameworks including Streamlit, PyQt, PySide, or Tkinter.
Personal Attributes
We're looking for someone who is:
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Analytically minded with strong problem-solving abilities.
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Curious about how data, AI models, and system components interact.
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Comfortable working within cross-functional engineering teams.
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An effective communicator with strong documentation skills.
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Eager to learn, innovate, and contribute to cutting-edge projects.
Why Join Us?
This is an opportunity to work at the intersection of Artificial Intelligence, Data Science, and Systems Engineering, helping to develop next-generation solutions that solve complex real-world challenges. You'll gain exposure to the full AI lifecycle, from requirements definition and data engineering through to model deployment and system integration, while working alongside talented engineers in a collaborative environment.
If you're passionate about AI, data, and building intelligent systems that make a difference, we'd love to hear from you.
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.
