Principal ML Data Engineer
Location: Remote (UK-based)
Contract: 3 months
Start: ASAP
About the Project
Were 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.
Youll work in a fast-paced environment where progress matters more than perfection helping identify high-impact use cases for further investment.
What Youll 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 Youll 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 Were 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
Principal ML Data EngineerLocation: Remote (UK-based)Contract: 3 monthsStart: ASAPAbout the ProjectWere 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 tur...
Principal ML Data Engineer
Location: Remote (UK-based)
Contract: 3 months
Start: ASAP
About the Project
Were 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.
Youll work in a fast-paced environment where progress matters more than perfection helping identify high-impact use cases for further investment.
What Youll 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 Youll 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 Were 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
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