Back to jobs
Regular-Senior Data/ MLOps Engineer
Successfully
Req. VR-119049
We are a leading international bank focused on helping people and companies prosper across Asia, Africa and the Middle East.
To us, good performance is about much more than turning a profit. It's about showing how you embody our valued behaviors - do the right thing, better together and never settle - as well as our brand promise, Here for good.
We're committed to promoting equality in the workplace and creating an inclusive and flexible culture - one where everyone can realize their full potential and make a positive contribution to our organization. This in turn helps us to provide better support to our broad client base.
About the Team
Financial Markets (FM) has expertise combined with deep local market knowledge to deliver a variety of risk management, financing and investment solutions to our clients. The FM team offers capabilities across origination, structuring, sales, trading and research. Offering a full suite of fixed income, currencies, commodities, equities and capital markets solutions, FM has firmly established itself as a trusted partner with extensive on-the-ground knowledge and deep relationships.
Streamlines and automates data science products lifecycle from development to deployment and monitoring.
Designs, develops and maintains tools enabling reproducible experimentation, models versioning, automated deployment, serving etc.
Tests, refactors, optimizes, and packages the code developed by data scientists. Improves, deploys, monitors and maintains developed models.
Builds new integrations with FM systems (PDS, ION, S2BX) allowing to publish signals generated by the data science modules.
Provides support and guidance to other team members on MLOps best practices.
Must have
3+ years of experience developing and deploying classical supervised models, ideally in on-prem environments
Proficient with main Python analytics and ML libraries (numpy, pandas, scikit-learn, keras / tensorflow / pytorch)
Experience with MLOps platforms like MLFlow / Databricks
Experience with Linux (especially RedHat distribution) and version control (git)
Experience with containerization technologies (docker/podman)
Familiarity with DevOps pipelines (especially Azure DevOps Services)
Eager to learn
Nice to have
Experience in data modelling and database management. Experience managing RDBMS (preferably PostgreSQL).
Familiarity with Airflow or similar data orchestration services
Familiarity with distributed processing frameworks, esp. Hadoop and Spark/PySpark
Familiarity with kdb+/q
Familiarity with financial markets, esp. fixed income
Languages
English: C1 Advanced
Seniority
Senior
*The acquisition of rights to the above benefits depends on the form of cooperation. Benefits apply to those employed under a contract of employment.
**Please note that relocation is not available for all open positions. At Luxoft Poland it is possible to work remotely only from the territory of Poland.
***Options offered by the Polish government.
Wroclaw, Poland
Req. VR-119049
Data Modeling
BCM Industry
13/11/2025
Req. VR-119049
Apply for Regular-Senior Data/ MLOps Engineer in Wroclaw
*Indicates a required field