Machine Learning Consultant

About the Role

CipherTek Recruitment is partnering with a prestigious investment bank to recruit a talented Machine Learning Operations (MLOps) Lead. This role is key to building a greenfield framework for deploying scalable AI/ML solutions for both the front and middle offices. You will be hands-on in establishing a standardized MLOps framework for capital markets while educating data scientists on tools and best practices.

Responsibilities

• Lead the development of AI/ML CI/CD pipelines on Azure Databricks.
• Define and implement best practices for DataOps, DevOps, and ModelOps.
• Collaborate with various teams, including Front Office Quant teams and Sales/Trading desks.
• Adopt advancements in GenAI and LLM technologies.
• Align with the bank’s central Enterprise Advanced Analytics & AI group.
• Manage large datasets and support data preparation across different data sources.

About the Candidate

The ideal candidate will have:

• A minimum of 2 years of experience in MLOps and at least 3 years in AI/ML engineering.
• Proficiency with Azure Databricks, ML frameworks, and libraries in Python.
• Proven experience deploying LLM services and a strong knowledge of Azure DevOps and GitHub Actions.
• Solid programming skills in Python and SQL, with familiarity in Scala being a plus.
• A robust understanding of AI/ML algorithms and experience with Agile methodologies.

About the Company

CipherTek Recruitment is committed to maintaining a high standard of recruitment for the investment banking industry, primarily focusing on talented technology professionals with expertise in AI/ML and data engineering.

Company Culture and Benefits

• Work on a significant greenfield project with a major global investment bank.
• Experience flexible remote work arrangements while earning a competitive rate of up to £850 per day or a salary package up to £200k.
• Play a vital role in scaling AI/ML solutions across Capital Markets, fostering deep expertise in MLOps and advanced technologies.