Eden Scott
Data Engineer (AI, Machine Learning & Industrial Analytics)
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Data Engineer (AI, Machine Learning & Industrial Analytics)
Location: Glasgow / Hybrid
Contract: Fixed-Term Contract (with a clear opportunity to convert to a permanent position based on performance and business growth)
Salary: D.O.E.
A growing technology business at the forefront of industrial intelligence is seeking a talented Data Engineer to help build next-generation AI solutions for the manufacturing sector. The company develops innovative technologies that capture, process, and analyse real-world machine data, enabling customers to reduce downtime, improve efficiency, and move towards predictive maintenance.
This is an excellent opportunity for someone who enjoys working across the full technology stack, from real-time data acquisition and engineering through to machine learning models, analytics, and user-facing applications.
The Role
As a Data Engineer, you will play a key role in designing, developing and supporting end-to-end data and AI systems. Working within a small, highly technical team, you'll contribute across a broad range of technologies and have the opportunity to see your work deployed directly into customer environments.
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Responsibilities will include:
- Designing and implementing data acquisition, processing and analytics pipelines
- Developing machine learning and AI models using Python and PyTorch
- Building and maintaining software that supports real-time industrial data processing
- Working on systems that span edge computing, databases, analytics platforms and user interfaces
- Ensuring solutions are scalable, reliable and production-ready
- Supporting customer demonstrations, presentations and technical discussions
- Contributing to product innovation and the evolution of the company's industrial intelligence platform
What We are Looking For
Essential Skills
- Strong commercial experience in Python software development
- Demonstrable knowledge of machine learning, AI and data science
- Commercial or academic experience using PyTorch
- Experience building data pipelines and handling complex datasets
- Ability to work across multiple technologies and disciplines
- Strong problem-solving and software engineering skills
- Comfortable working independently and taking ownership of deliverables
- Excellent communication skills
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Desirable Skills
- Time-series data analysis
- Edge computing or IoT systems
- Real-time data acquisition and processing
- Experience with industrial, manufacturing or engineering environments
- Database and analytics platform experience
- User interface or dashboard development experience
Why Join?
- Work on cutting-edge AI applications solving real industrial challenges
- Opportunity to influence products from concept through to deployment
- Broad technical exposure across software engineering, data engineering and machine learning
- Fast-moving, innovative environment with significant growth potential
- Make a tangible impact by helping customers improve operational performance and reduce costly downtime
If you are a hands-on engineer who enjoys combining software development, data engineering and AI to solve real-world problems, please get in touch.
Apply now for a confidential discussion.
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