Principal ML Data Engineer

Location: Remote (UK-based)
Contract: 3 months
Start: ASAP

About the Project

We’re working with a leading construction technology company to help them harness AI across their business. They have a large library of specifications, contracts and bids, and this project focuses on turning that data into value through rapid AI experimentation and proofs of concept.

You’ll work in a fast-paced environment where progress matters more than perfection, helping identify high-impact use cases for further investment.

What You’ll Do

• Lead AI-driven proofs of concept from idea to delivery
• Build and iterate on data pipelines and ML models to enhance business processes
• Identify and prototype AI opportunities in automation, prediction and document intelligence
• Work hands-on with large, complex datasets
  

Why You’ll Love It

• Fast-moving, innovative project with real-world impact
• Autonomy to explore and experiment
• A culture that values getting things done over perfection

What We’re Looking For:

Solution Development

• Experience leading AI-driven proofs of concept from ideation to deployment
• Ability to identify and develop AI opportunities within business workflows
• Experience embedding AI solutions that enhance existing processes rather than operate as standalone tools
• Strong understanding of AI use cases including automation, predictive analytics and document intelligence

Data Architecture and Engineering

• Expertise in building scalable data pipelines to support ML model development and rapid prototyping
• Skilled in working with both structured and unstructured data sources
  

Machine Learning

• Experience designing, training and deploying NLP models for document summarisation, classification or key information extraction
• Proficiency in developing predictive analytics
• Understanding of model evaluation metrics and testing frameworks
  
  

Technical Skills

• Strong Python programming skills and experience with frameworks such as PyTorch, TensorFlow, scikit-learn or Hugging Face Transformers
• Familiarity with cloud-based ML environments such as Azure ML, AWS Sagemaker or GCP Vertex AI
  

If you meet the requirements, apply with your CV or email it to tom@hainton.com