Machine Learning Engineer( Real time Data Science Applications)
Posted 1 week ago by Pontoon on CVLibrary
Negotiable
Undetermined
Hybrid
London
Summary: The Machine Learning Engineer will play a crucial role in developing and deploying AI/ML models to enhance payment processes within a leading financial technology firm. This position involves optimizing the machine learning life cycle and collaborating with cross-functional teams to improve live systems. The role is contract-based for six months with the possibility of extension, requiring a strong background in real-time data science applications. The position offers a hybrid working arrangement with two days a week onsite in London.
Key Responsibilities:
- Develop and deploy AI/ML models to improve efficiency and security in payment processes.
- Optimize the ML life cycle, ensuring seamless integration from development to production.
- Collaborate with cross-functional teams to enhance live systems and support automation efforts.
Key Skills:
- Expertise in AI/ML model deployment processes and a strong understanding of the ML life cycle.
- Experience in real-time data science applications.
- Proven experience with CI/CD, DevOps, and MLOps.
- Strong familiarity with web server and API designs for ML model deployments.
- Proficient Python skills, including experience with relevant data libraries.
- Cloud engineering experience, particularly with AWS and Databricks.
- Exposure to GenAI/NLP, MLflow, Jenkins, workflow automation, AutoML, unit testing, and model.
Salary (Rate): undetermined
City: London
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT