Description
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-on Machine 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 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 calibre candidates with experience building and being responsible for greenfield MLOps pipelines that handle very large datasets.
The core platform is built on Azure 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 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 datasetsand support data preparation,integration,and analytics across variousdata sources(orders ,quotes,trades,risk,etc.).
Essential Requirements:
• 2+ years of experience in MLOpsand at least3 yearsinAI / ML engineering.
• ExpertiseinAzureDatabricksandassociated services.
• Proficiencywith ML frameworksandlibrariesinPython .
• Provenexperience deployingandmaintainingLLMservicesandsolutions .
• ExpertiseinAzureDevOpsandGitHubActions .
• FamiliaritywithDatabricksCLIandDatabricksJobBundle .
• Strongprogramming skillsinPythonandSQL; familiaritywithScala isaplus .
• SolidunderstandingofAI / ML algorithms ,modeltraining,evaluation(includinghyperparametertuning),deployment ,monitoring,andgovernance .
• Experienceinhandeinglargedatasetsandperformingdatapreparationandintegration .
• ExperiencewithAgilemethodologiesandSDLCpractices .
• Strongproblem-solving ,analytical,andcommunication skills .
Why Join Us?
• Workonagreenfieldprojectwithamajorglobalinvestmentbank.
• Gaindeep expertiseinMLOps ,AzureDatabricks ,GenAI,andLLMtechnologies .
• PlayakeyroleinbuildingscalableAI / MLsolutionsacrossCapitalMarkets .
• Remoteworkflexibilitywithacompetitivedayrate .
How to Apply:
If you meetthequalificationsandar excitedaboutthisopportunity ,please submityourCV.
We look forwardtohearingfromyou!