Senior ML Engineer — FinTech AI at Scale (Hybrid)

IG Group; Kraków; Hybrid; PLN 180,000 - 240,000; Full time

Benefits offered by this job

Competitive salary & benefits plan

Birthday day off

Voluntary work days off

Share Plans for Employees

Onboarding process

Job summary

IG Group is seeking a Senior Machine Learning Engineer in Kraków to advance AI/ML solutions and data-driven products that power trading platforms. You will collaborate with researchers and production teams to translate ideas into scalable systems.

The role emphasizes deploying state-of-the-art AI/ML techniques, maintaining existing products, and providing SME support while working in a hybrid setup with colleagues globally.

Qualifications

• Proficiency in Python (experience with other languages a plus)
• Strong AI/ML expertise, familiarity with the latest techniques
• Solid understanding of database systems
• Containerisation experience (Docker)
• Working experience with ML orchestration tools (Kubeflow/Airflow/Prefect)
• Managing CI/CD pipelines and infrastructure (Terraform) on different platforms (GCP/AWS/Azure/on-premises)
• Experience with Python AI & ML frameworks/libraries (NumPy/Pandas/TensorFlow/PyTorch/Pydantic/LangChain)
• MLOps practices knowledge (deployment, versioning, monitoring, etc.)

Responsibilities

• Design, implement and support of AI/ML solutions as well as internal tools and systems from time to time stepping up to the role of project lead when required
• Supporting other teams as a Subject Matter Expert in the field of AI/ML solutions as well as driving the AI/ML expertise across the company
• Support and Maintenance of the existing products

Skills

Python

AI/ML expertise

Databases

ML frameworks (TensorFlow/PyTorch)

NumPy

Pandas

LangChain

Tools

Docker

Kubeflow

Airflow

Prefect

Terraform

Job description

IG Group is seeking a Senior Machine Learning Engineer in Kraków to advance AI/ML solutions and data-driven products that power trading platforms. You will collaborate with researchers and production teams to translate ideas into scalable systems.

The role emphasizes deploying state-of-the-art AI/ML techniques, maintaining existing products, and providing SME support while working in a hybrid setup with colleagues globally.