Machine Learning Engineer
Posted Today by Understanding Solutions
£250 Per day
Inside
Remote
EMEA
Summary: The role of ML Ops Engineer involves supporting a global tech business in managing major ML Ops projects for a duration of three months. The position requires a self-starter with strong communication skills to build and operate ML-powered APIs and manage model pipelines. The engineer will also be responsible for monitoring and maintaining production ML systems to ensure optimal performance. This is a fully remote position with an ASAP start date.
Key Responsibilities:
- Build and operate ML-powered APIs using Python and FastAPI for real-time auction products.
- Manage model pipelines and search/indexing using Elasticsearch to support customer features.
- Monitor and maintain production ML systems, ensuring performance, reliability, and scalability.
Key Skills:
- Highly experienced ML Ops Engineer (up to 5 years experience).
- Python, FastAPI, Elasticsearch experience needed.
- Excellent communication skills.
- Hands-on professional that can hit the ground running.
Salary (Rate): £250 daily
City: undetermined
Country: undetermined
Working Arrangements: remote
IR35 Status: inside IR35
Seniority Level: undetermined
Industry: IT
ML Ops Engineer
Day Rate: £250 (B2B Contractor)
Duration: 3-months
Location: Fully Remote (2 +/- GMT or CET Time)
ASAP Start
We're working with a global tech business that operates online auction marketplaces for a wide range of goods. They're looking for an ML Ops Engineer to support them for the next 3-months as they look for a permanent staff member to join. The ML Ops Engineer will need to be a self starter with excellent communication skills. You'll tasked with handling their major ML Ops projects and provide continual support to the wider teams.
Key Responsibilities
- Build and operate ML-powered APIs using Python and FastAPI for real-time auction products.
- Manage model pipelines and search/indexing using Elasticsearch to support customer features.
- Monitor and maintain production ML systems, ensuring performance, reliability, and scalability.
Experience Needed
- Highly experienced ML Ops Engineer (up to 5 years experience)
- Python, FastAPI, Elasticsearch experience needed.
- Excellent communication skills
- Hands-on professional that can hit the ground running
ML Ops Engineer
Day Rate: £250 (B2B Contractor)
Duration: 3-months
Location: Fully Remote (2 +/- GMT or CET Time)
ASAP Start
Available for non-UK candidates - reach out to Ross Britton @ Understanding Solutions