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About the Role
MLOps Engineer
Location: Remote (Occasional travel to their London office)
Contract: Inside IR35
Day rate: Up to £800 per day
Duration: 6 months
Start date: ASAP
Key words: Machine Learning, Python, containerization (Docker), CI/CD, Azure
As part of our Client's AI Engineering team, you will own the infrastructure and delivery pipelines that keep our AI-driven products reliable, scalable, and fast. You will design and maintain the cloud environments, CI/CD workflows, and observability systems that enable our engineers to ship with confidence.
Key Skills:
- Solid programming skills in Python (plus experience with web libraries like FastAPI, Flask, or Django)
- Hands-on experience with ML model deployment and monitoring in production Knowledge of containerization (Docker)
- Experience with CI/CD pipelines and cloud environments (we use Azure)
Assignment Objectives
- Implement or improve model monitoring and operational control...
Location: Remote (Occasional travel to their London office)
Contract: Inside IR35
Day rate: Up to £800 per day
Duration: 6 months
Start date: ASAP
Key words: Machine Learning, Python, containerization (Docker), CI/CD, Azure
As part of our Client's AI Engineering team, you will own the infrastructure and delivery pipelines that keep our AI-driven products reliable, scalable, and fast. You will design and maintain the cloud environments, CI/CD workflows, and observability systems that enable our engineers to ship with confidence.
Key Skills:
- Solid programming skills in Python (plus experience with web libraries like FastAPI, Flask, or Django)
- Hands-on experience with ML model deployment and monitoring in production Knowledge of containerization (Docker)
- Experience with CI/CD pipelines and cloud environments (we use Azure)
Assignment Objectives
- Implement or improve model monitoring and operational control...
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