AI MLOps
AF-4
Posted: 07/12/2024
- £75000 to £125000 Per: annum + Benefits: equity
- England, South East, Greater London, London
- FULL_TIME
- javascript,machine_learning,python
MLOps Engineer (Full-Stack Experience) - Exciting AI Start Up
Location: London (on-site)
Compensation: £75k - £125k + Equity
MLOps Engineer - About The Company:
A Full Stack MLOps Engineer is required for an AI start up who are about to revolutionise the industry. This start up have a very impressive founding team and are backed by some big names (Paypal, Slack, etc.). Their goal is to enhance the performance, reliability, and security of AI applications to ensure that AI works fairly and reliably for all of
MLOps Engineer - About The Role:
As an Full Stack MLOps, you will be instrumental in building a cutting-edge AI simulation and stress-testing platform. You will be working with an exceptional, dynamic team to solve complex problems and push the boundaries of AI technology.
MLOps Engineer - Requirements:
MLOps Engineer (Full-Stack Experience) - Exciting AI Start Up
Location: London (on-site)
Compensation: £75k - £125k + Equity
MLOps Engineer - About The Company:
A Full Stack MLOps Engineer is required for an AI start up who are about to revolutionise the industry. This start up have a very impressive founding team and are backed by some big names (Paypal, Slack, etc.). Their goal is to enhance the performance, reliability, and security of AI applications to ensure that AI works fairly and reliably for all of
MLOps Engineer - About The Role:
As an Full Stack MLOps, you will be instrumental in building a cutting-edge AI simulation and stress-testing platform. You will be working with an exceptional, dynamic team to solve complex problems and push the boundaries of AI technology.
MLOps Engineer - Requirements:
- Degree from a Top University in a relevant subject (PhD's are highly desired)
- 3+ years professional experience
- Expert frontend experience (any language)
- Strong Python programming experience
- Experience deploying LLM/ML models to production
- Cloud experience (AWS/Azure)
- Prior experience working in a fast paced start up
- Personal projects and a strong passion for AI
- Experience in a full stack experience
- Competitive salary and equity
- Private health insurance.
- Additional pension contributions.
- Free lunch and gym membership.
- Personal funding for books, courses, and cultural memberships (museums, library, etc.)
MLOps Engineer (Full-Stack Experience) - Exciting AI Start Up
Aisling Fitzgerald
Consultant