Data Engineer (AI, Machine Learning & Industrial Analytics)

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., * 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, * 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

• 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

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.