MLOps Engineer leading large - scale model deployments and managing CI/CD pipelines in GCP ecosystem. Focus on operational excellence and implementing observability frameworks for AI systems.
About the role
- Senior Machine Learning Engineer driving AI solutions across industries like insurance and automotive. Leading ML development while mentoring teammates and collaborating with enterprise partners.
Responsibilities
- Design and optimise scalable ML systems focusing on computer vision and NLP/LLM applications
- Develop and productionise deep learning models using Python and modern ML frameworks
- Align research, engineering, and product goals through hands-on leadership
- Support junior team members and promote best practices in ML development
- Collaborate directly with enterprise clients to ensure seamless integration of AI solutions
- Evaluate and implement new AI tools and methodologies to enhance performance and scalability
Requirements
- 5+ years building ML systems
- Proficiency in Python and ML libraries (e.g. PyTorch, TensorFlow)
- Experience deploying ML models in production environments
- Knowledge of cloud platforms (ideally AWS)
- Ability to work across teams and communicate complex ideas clearly
- Analytical thinking and a focus on continuous improvement
Benefits
- Diversity commitment
- Inclusive workplace
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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