IT Graduate- Artificial Intelligence

Overview

AI is reshaping industries—and construction materials is next. You’ll be pioneering its application in a space ripe for innovation and work on high-impact use cases such as asphalt mix optimisation and quality control, predictive maintenance for production plants, logistics and route optimisation, process automation across materials operations, and data analytics to drive operational efficiency.

What you’ll be doing

• Spot and prioritise opportunities — identify high-impact automation opportunities across asphalt plants, concrete production, logistics, and quality control.
• Prototype and experiment — rapidly build proof-of-concept AI solutions to demonstrate value, embracing experimentation and learning from failure.
• Lay the data foundations — support initiatives to improve data collection, quality, and accessibility which form the critical groundwork for scalable AI capabilities.
• Collaborate closely with operations — work side-by-side with operational teams to understand real-world pain points, constraints, and opportunities.
• Share knowledge and build capability — document solutions, share insights, and help grow AI literacy across the organisation.
• Evaluate tools and vendors — assist in assessing AI and automation platforms to ensure the right fit for our evolving needs.
• Deploy and monitor solutions — contribute to the rollout and performance tracking of automation workflows in live operational environments.
• Drive strategic transformation — participate in cross-functional teams tackling strategic initiatives that shape the future of our business.

Projects you’ll contribute to

• AI-driven asphalt mix optimisation (Project AI in Asphalt)
• Automation of manual reporting and administrative processes
• Data analytics for operational efficiency improvements
• Building foundational AI capabilities and standards across Tarmac

Development

You’ll also take part in our Graduate Core Skills Development Programme, designed to boost your business knowledge, strengthen your soft skills, and connect you with other grads and leaders across Tarmac.

Qualifications

• A degree in Computer Science, Data Science, Artificial Intelligence, Software Engineering, or a related field
• Proficiency in Python, R, or other programming languages commonly used in data analysis and automation
• Solid understanding of machine learning concepts and algorithms
• Strong data literacy—including data quality, collection methods, and governance principles
• A process-oriented mindset—able to understand and map business processes before automating them
• Excellent analytical and problem-solving skills
• Comfortable working in ambiguous, fast-evolving environments where solutions are built from scratch
• Strong communication and collaboration skills, with the ability to work across technical and operational teams

Desirable

• Exposure to machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn
• Experience with automation platforms like Power Automate, UiPath, or custom scripting tools
• Interest in industrial or operational AI applications, especially in manufacturing, logistics, or materials
• Familiarity with data visualization tools (e.g., Power BI, Tableau, or Plotly)

Benefits

• Hybrid working available — giving you the flexibility to learn and contribute both on-site and remotely
• Enhanced holiday entitlement
• Contributory pension scheme
• Exclusive discounts via the Tarmac Reward website
• Free and confidential support through our Employee Assistance helpline
• Inclusive employee communities, including REACH, LGBTQ+, Parents & Carers, Ability, Wellbeing, and Female Voice
• Training and development tailored to your goals

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