Not specified; bonus available; pension scheme, ho...
Hybrid
Deep learning model development
Sequential data processing (lstms/rnns)
Python and sql coding proficiency
This role focuses on leading the development of proprietary deep learning models to enhance existing underwriting capabilities
Job Summary
This role focuses on leading the development of proprietary deep learning models to enhance existing underwriting capabilities.
Candidates will bridge the gap between ambitious R&D and tangible in-market results by driving ideas from prototypes to production.
The company offers a hybrid working model with three days in the office and access to extensive benefits including pension schemes and private medical insurance.
Matching Summary
This role focuses on leading the development of proprietary deep learning models to enhance existing underwriting capabilities.
Salary
Not specified; Bonus available; Pension scheme, holiday entitlement, private medical insurance
Skills & Requirements
Must-have
Deep learning model development
Sequential data processing (LSTMs/RNNs)
Python and SQL coding proficiency
PyTorch or TensorFlow framework experience
GPU cluster training experience
Unstructured data tokenization techniques
Nice-to-have
Transformer architecture expertise
Cross-functional stakeholder collaboration
Mentoring junior team members
Business acumen for R&D translation
Continuous learning drive
Key Requirements
Strong experience deploying deep learning models
Proven track record leading model development
Experience managing reliable code in team settings