Data Engineer; AI, Machine Learning & Industrial Analytics

Location: Glasgow / Hybrid

Contract with a clear opportunity to convert to a permanent position based on performance and business growth)

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.

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.

Responsibilities will include:

• Designing and implementing data acquisition, processing and analytics pipelines
• Developing machine learning and AI models using Python and Py Torch
• 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

• Strong commerical experience in Python software development
• Demonstrable knowledge of machine learning, AI and data science
• Commercial or academic experience using Py Torch
• Experience building data pipelines and handling complex datasets
• Ability to work across multiple technologies and disciplines
• Strong problem-solving and software engineering skills
• Edge computing or IoT systems
• Real-time data acquisition and processing
• Experience with industrial, manufacturing or engineering environments
• Database and analytics platform experience

• 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