Posted 16 days ago
Description
We work with organisations looking to build, optimise and operationalise machine learning capabilities that create measurable business value. The focus is on production deployment, performance and maintainability rather than experimentation alone.
Role Overview
- Develop, train and optimise machine learning models
- Evaluate model performance and improve accuracy
- Build reusable machine learning pipelines
- Support deployment and monitoring of models in production
- Collaborate with engineering, product and data teams
- Contribute to model governance and lifecycle management
Tools & Technologies (required0
- Python
- Scikit-learn
- PyTorch and/or TensorFlow
- MLflow or equivalent
- SQL
- Git
- Cloud environments including AWS, Azure or GCP
Highly preferred
- Experience with foundation models
- Exposure to reinforcement learning
- Knowledge of AI evaluation frameworks
About You
- Comfortable balancing experimentation with operational requirements
- Data-driven and analytical
- Curious but pragmatic
- Able to explain technical concepts to non-technical stakeholders
Additional Information & Benefits
- Permanent, contract and advisory engagements
- Ideal for practitioners who have deployed models into production environments
