Summary: The Machine Learning Operations Lead role in Investment Banking involves leading the development of AI/ML solutions within a prestigious investment bank. The position focuses on building a greenfield framework for scalable AI/ML deployment, requiring expertise in MLOps and data engineering. The candidate will collaborate with various teams to implement best practices and manage large datasets, ensuring alignment with organizational goals. This is a remote position with flexible working arrangements.

Key Responsibilities:

• Lead the development of AI/ML CI/CD pipelines and frameworks for supporting AI/ML and Data Science solutions on Azure Databricks.
• Define and implement best practices for DataOps, DevOps, ModelOps, and LLMOps to standardize and accelerate the AI/ML life cycle.
• Collaborate with Data Scientists and teams across Front Office Quant teams, Sales/Trading desks to build, monitor, and maintain AI/ML solutions.
• Adopt cutting-edge advancements in GenAI and LLM technologies to keep the platform at the forefront of innovation.
• Align with the bank's central Enterprise Advanced Analytics & Artificial Intelligence group to ensure alignment with organizational goals, strategies, and governance.
• Manage large datasets and support data preparation, integration, and analytics across various data sources (orders, quotes, trades, risk, etc.).

Key Skills:

• 2+ years of experience in MLOps and at least 3 years in AI/ML engineering.
• Expertise in Azure Databricks and associated services.
• Proficiency with ML frameworks and libraries in Python.
• Proven experience deploying and maintaining LLM services and solutions.
• Expertise in Azure DevOps and GitHub Actions.
• Familiarity with Databricks CLI and Databricks Job Bundle.
• Strong programming skills in Python and SQL; familiarity with Scala is a plus.
• Solid understanding of AI/ML algorithms, model training, evaluation (including hyperparameter tuning), deployment, monitoring, and governance.
• Experience in handling large datasets and performing data preparation and integration.
• Experience with Agile methodologies and SDLC practices.
• Strong problem-solving, analytical, and communication skills.

Salary (Rate): £850

City: London

Country: UK

Working Arrangements: remote

IR35 Status: outside IR35

Seniority Level: undetermined

Industry: Finance