Machine Learning Engineering & Applied AI ML Lead - Vice President
LONDON, LONDON, United Kingdom
GBP 78K-95K (estimate) Senior-level Full Time
Tasks
- Align ML problem definitions with business objectives
- Apply software engineering and computer science best practices
- Build robust production architectures with cloud and SRE
- Build test and deploy automated ML pipelines
- Design and deliver enterprise machine learning systems
- Develop and deploy business critical data intensive applications
- Implement distributed multi threaded scalable applications
- Leverage reusable libraries and services across teams
- Mentor and support team members
- Translate scientific research into scalable ML solutions
- Use MLOps tools for versioning reproducibility and observability
Perks/Benefits
Skills/Tech-stack
AWS | Computer Science | Distributed Systems | Kubernetes | Langchain | MLOps | Machine Learning | Multi-threading | NumPy | Observability | Pipelines | PyTorch | Pydantic | Python | Reproducibility | Software Engineering | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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