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About the Role
This role involves building, deploying, and scaling production-grade AI solutions at the intersection of Machine Learning and software engineering, taking sophisticated AI models from development to scalable, real-world production environments.
Responsibilities
- Design, build, and deploy high-performance Machine Learning solutions using modern AI and Generative AI technologies.
- Work across the full ML lifecycle, including experimentation, development, deployment, monitoring, and optimization in production.
- Establish robust MLOps practices to ensure Machine Learning services are scalable, reliable, and performant.
- Focus on performance and optimization, including improving Python workloads, infrastructure efficiency, and model performance in production.
- Collaborate with engineering and AI teams to bridge the gap between Machine Learning development and production engineering.
Requirements
- Experience building and deploying Machine Learning models in production.
- Experience working with Generative AI and modern Machine Learning technologies.
- Strong understanding of MLOps, CI/CD, and model deployment.
- Experience building APIs for Machine Learning.
Skills
- Python
- Machine Learning frameworks
- Generative AI
- MLOps
- CI/CD
- Model deployment
- API development
Location
- London
Work Type
- Hybrid
Experience Level
- Senior
Salary/Compensations
- £80,000 – £90,000
About the Company
- An innovative technology business that is continuing to invest in its Machine Learning and AI capabilities.