£800 Per day
Undetermined
Hybrid
London, UK
Summary: The Machine Learning Engineer role involves developing and deploying AI/ML models to enhance payment processes for a leading financial technology company. The position requires collaboration with cross-functional teams to optimize the machine learning life cycle and improve production systems. This is a full-time contract position based in London, with a hybrid working arrangement of two days onsite per week. The role offers opportunities for professional growth and potential contract extension based on performance.
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.
- Proven experience with CI/CD, DevOps, and MLOps, especially in supporting and improving production systems.
- Strong familiarity with web server and API designs for ML model deployments.
- Experienced in Real Time - Data Science Applications.
- 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 explainability is a plus.
Salary (Rate): 800
City: London
Country: UK
Working Arrangements: hybrid
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT