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 impactAutonomy to explore and experimentA culture that values getting things done over perfectionWhat We’re Looking For :
Solution Development
Experience leading AI-driven proofs of concept from ideation to deploymentAbility to identify and develop AI opportunities within business workflowsExperience embedding AI solutions that enhance existing processes rather than operate as standalone toolsStrong understanding of AI use cases including automation, predictive analytics and document intelligenceData Architecture and Engineering
Expertise in building scalable data pipelines to support ML model development and rapid prototypingSkilled in working with both structured and unstructured data sourcesMachine Learning
Experience designing, training and deploying NLP models for document summarisation, classification or key information extractionProficiency in developing predictive analyticsUnderstanding of model evaluation metrics and testing frameworksTechnical Skills
Strong Python programming skills and experience with frameworks such as PyTorch, TensorFlow, scikit-learn or Hugging Face TransformersFamiliarity with cloud-based ML environments such as Azure ML, AWS Sagemaker or GCP Vertex AIIf you meet the requirements, apply with your CV or email it to tom@hainton.com