ML Data Engineer
Company: hedgehog lab
Location: Newcastle upon Tyne
Salary: £76,333 per year - estimated
Type: Remote
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
#J-18808-Ljbffr