Summary: The Machine Learning Engineer role is a 6-month contract position based in London, focusing on deploying AI/ML models to enhance payment processes within a leading financial technology company. The position requires collaboration with cross-functional teams to optimize the machine learning life cycle and improve production systems. Candidates should possess a strong background in machine learning engineering and MLOps, with a passion for innovation in fintech. This role offers opportunities for professional development and potential contract extension based on performance.

Key Responsibilities:

• Developing and deploying AI/ML models to improve efficiency and security in payment processes.
• Optimizing the ML life cycle, ensuring seamless integration from development to production.
• Collaborating 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): undetermined

City: London

Country: United Kingdom

Working Arrangements: hybrid

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT