Data Engineer (AI, Machine Learning & Industrial Analytics)

Eden Scott; Glasgow; Hybrid; GBP 60,000 - 90,000; Full time

Job summary

Eden Scott is partnering with a growing technology business in Glasgow to hire a Data Engineer who will help build next-generation AI solutions for the manufacturing sector. The role covers the full stack, from real-time data acquisition to analytics and user-facing applications.

You will join a small, highly technical team and contribute across technologies, with your work deployed into customer environments.

Qualifications

• Strong commercial experience in Python software development.
• Demonstrable knowledge of ML, AI and data science.
• Experience building data pipelines and handling complex datasets.
• Experience with PyTorch.
• Experience in industrial, manufacturing or engineering environments.

Responsibilities

• Designing and implementing data acquisition, processing and analytics pipelines
• Developing ML/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

Skills

Python

ML/AI

Data pipelines

Edge computing

Real-time data

Tools

PyTorch

Job description

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.

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.

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

• Strong commerical 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
• Edge computing or IoT systems
• Real-time data acquisition and processing
• Experience with industrial, manufacturing or engineering environments
• Database and analytics platform 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