Job Title: Machine Learning Operations Lead- Investment Banking
Location: Remote (London City- UK based) Very flexible working arrangements
Rate: Up to £850 per day (Outside IR35)
Job Type: 12-Month Contract (with extensions)
Industry: Investment Banking/Finance Technology
About the Role:
We are partnering with a prestigious investment bank to find a highly skilled and hands-onMachine Learning Operations (MLOps) Lead. This role will be pivotal in building out a greenfield framework for the deployment and management of scalable AI/ML solutions, specifically for the front and middle office user base.
You will bring a expertise in data science or data engineering, with a specific focus on MLOps for at least 2 years. This platform is critical and will be rolled out across the bank, so we are looking for only the highest caliber candidates with experience building and being responsible for greenfield MLOps pipelines that handle very large datasets.
The core platform is built onAzure Databricks Lakehouse, consolidating data from various front and middle office systems to support BI, MI, and advanced AI/ML analytics. As a lead, you will shape the MLOps framework and establish best practices for deploying and managing AI/ML solutions for a diverse and dynamic user base, including data scientists, quants, risk managers, traders, and other tech-savvy users.
Core 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 forDataOps, DevOps, ModelOps, andLLMOpsto standardize and accelerate the AI/ML lifecycle.
- 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 inGenAIandLLM technologiesto keep the platform at the forefront of innovation.
- Align with the bank’s centralEnterprise Advanced Analytics & Artificial Intelligencegroup 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.).
Essential Requirements:
- 2+ years of experience inMLOpsand at least 3 years inAI/ML engineering.
- Expertise inAzure Databricksand associated services.
- Proficiency withML frameworksand libraries inPython.
- Proven experience deploying and maintainingLLM servicesand solutions.
- Expertise inAzure DevOpsandGitHub Actions.
- Familiarity withDatabricks CLIandDatabricks Job Bundle.
- Strong programming skills inPythonandSQL; familiarity withScalais 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 withAgile methodologiesandSDLCpractices.
- Strong problem-solving, analytical, and communication skills.
Why Join Us?
- Work on agreenfield projectwith a major global investment bank.
- Gain deep expertise inMLOps,Azure Databricks,GenAI, andLLM technologies.
- Play a key role in buildingscalable AI/ML solutionsacross Capital Markets.
- Remotework flexibility with acompetitive day rate.
If you are a talented MLOps professional with the expertise to help build and scale advanced AI/ML solutions in the investment banking space, we’d love to hear from you. Apply now!
How to Apply:
If you meet the qualifications and are excited about this opportunity, please submit yourCV.
We look forward to hearing from you!
