Negotiable
Undetermined
Undetermined
London, UK
Summary: The role of MLOps Engineer requires expertise in Python programming and experience with ML model deployment and monitoring. Candidates should have a solid understanding of data science concepts and proficiency in AWS services. Familiarity with the Domino Data Lab platform is preferred, along with strong communication and troubleshooting skills.
Key Responsibilities:
- Extensive experience in Python programming
- Strong experience with ML model deployment and production monitoring
- Working knowledge of core data science concepts, such as model evaluation metrics, overfitting, data drift, and feature importance
- Proficiency in AWS services (like S3, RedShift etc)
- Experience with Grafana for monitoring and alerting
- Good to have hands-on experience with Domino Data Lab platform
- Solid understanding of CI/CD pipelines, version control, containerization, and orchestration
- Ability to communicate effectively with internal and external stakeholders
- Excellent troubleshooting and incident management skills
Key Skills:
- Extensive experience in Python programming
- Strong experience with ML model deployment and production monitoring
- Working knowledge of core data science concepts
- Proficiency in AWS services
- Experience with Grafana
- Hands-on experience with Domino Data Lab platform (preferred)
- Understanding of CI/CD pipelines, version control, containerization, and orchestration
- Effective communication skills
- Troubleshooting and incident management skills
Salary (Rate): undetermined
City: London
Country: UK
Working Arrangements: undetermined
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Domino experience is must to have
Required Skills & Experience
- Extensive experience in Python programming
- Strong experience with ML model deployment and production monitoring.
- Working knowledge of core data science concepts, such as model evaluation metrics, overfitting, data drift, and feature importance.
- Proficiency in AWS services (like S3, RedShift etc)
- Experience with Grafana for monitoring and alerting.
- Good to have hands-on experience with Domino Data Lab platform.
- Solid understanding of CI/CD pipelines, version control, containerization, and orchestration.
- Ability to communicate effectively with internal and external stakeholders.
- Excellent troubleshooting and incident management skills.