Diagonal recruitment
Machine Learning Engineer
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Company Overview
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
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Tools & Technologies
Required
- 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
- MLOps experience
- Knowledge of AI evaluation frameworks
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About You
- Strong engineering mindset
- 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
- Opportunities available across multiple industries
- Permanent, contract and advisory engagements
- Ideal for practitioners who have deployed models into production environments
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
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