Senior ML Engineer
Tasks
- Apply machine learning techniques
- Automate data analysis and model development
- Build and deploy end-to-end machine learning models
- Coach and mentor team members
- Conduct incident and change management
- Debug and develop machine learning models
- Develop NLP and Computer Vision solutions
- Ensure responsible AI compliance
- Establish scalable data and model pipelines
- Manage project delivery and governance
- Manage stakeholder communication
- Monitor model performance
- Perform model validation and testing
- Train validate and improve models
Perks/Benefits
- Annual leave
- Employee assistance programme
- Employee wellbeing platform Unmind
- Flexible working
- Learning and development opportunities
- Life insurance
- Medical insurance
- Parental/maternity leave
- Retirement savings
- Sabbatical
- Volunteering leave
Skills/Tech-stack
Azure | Azure DevOps | Change Management | Classification | Clustering | Computer Vision | Databricks | Deep learning | Incident Management | Kubernetes | LLM | Language Processing | Machine Learning | Model Monitoring | Model Validation | Natural Language | Natural Language Processing | PyTorch | Python | Responsible AI | Supervised Learning | TensorFlow | Terraform | Unsupervised Learning
Education
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