Senior Machine Learning Engineer
Kraków - Poland
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s listing: Full time
From the employer’s posting
What you’ll work on
Full postingDesign, implement and support AI/ML solutions and internal tools
Step up as project lead when required
Support other teams as an AI/ML subject matter expert
Drive AI/ML expertise across the company
Support and maintain existing products
From the employer’s posting
Design, implement and support of AI/ML solutions as well as internal tools and systems
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
driving the AI/ML expertise across the company
Support and Maintenance of the existing products
What you’ll bring
All qualificationsCore experience
- Proficiency in Python
- Strong AI/ML expertise, keeping up with latest techniques
- Working experience with ML orchestration tools (Kubeflow/Airflow/Prefect)
- Containerisation experience (Docker) and CI/CD and Terraform on cloud platforms
- MLOps practices: deployment, versioning, monitoring
Preferred experience
- experience with other languages is a plus
Qualification wording
Proficiency in Python (experience with other languages is a plus)
Strong AI/ML expertise, familiarity with the latest techniques
Working experience with ML orchestration tools (Kubeflow/Airflow/Prefect)
Managing CI/CD pipelines and infrastructure (Terraform) on different platforms (GCP/AWS/Azure/on-premises)
MLOps practices knowledge (deployment, versioning, monitoring, etc.)
Tools in this posting
- Python
- AWS
- Azure
- Docker
- GCP
- Prefect
- Terraform
- Airflow
- NumPy
- pandas
- PyTorch
- TensorFlow
Source — Tool mentions in context
What You'll Need: - Proficiency in Python (experience with other languages is a plus) - Strong AI/ML expertise, familiarity with the latest techniques
- 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.)
IG’s Data function is a central capability serving both central and divisional business lines across the entire IG estate. The Data Engineering team is responsible for the platforms that underpin analytics, reporting, compliance, and client-facing data products, and that will increasingly power AI and machine-learning use cases across the firm. The current data landscape reflects IG’s growth: a combination of GCP-native capabilities, on-premises systems, and a legacy AWS data platform. The strategic direction — endorsed by the CDO and Executive — is clear: consolidate onto GCP, raise the bar on data quality, and enable self-service access to trusted data for teams across the business. Your role in the Team’s Success:
- 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)
- Solid understanding of database systems - Containerisation experience (Docker) - Working experience with ML orchestration tools (Kubeflow/Airflow/Prefect)
- 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)
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Aug 24, 2026 · 60 days ago
- Recorded sightings
- 87
- Last seen by us
- Oct 23, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Your next step
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Job description
Job Title
Senior Machine Learning EngineerJob Description
So, who are we?
IG Group is a FTSE 100 fintech operating across five continents, serving over 1.4m customers and handling billions of dollars in transactions – built on scale, trust, and proof. We didn't pivot to innovation; it's how we've always operated. What that means for the people who work here is real: genuinely complex problems to solve, the technology and resources to tackle them properly, and the kind of scope that's rare in established businesses.
The bar is high – bring a curious and forward-thinking mindset and we'll give you the platform to define what comes next.
Join us at IG – the future gets built here.
Your Team:
Compensation details will be shared by the recruiter during the first interview.
IG’s Data function is a central capability serving both central and divisional business lines across the entire IG estate. The Data Engineering team is responsible for the platforms that underpin analytics, reporting, compliance, and client-facing data products, and that will increasingly power AI and machine-learning use cases across the firm.
The current data landscape reflects IG’s growth: a combination of GCP-native capabilities, on-premises systems, and a legacy AWS data platform. The strategic direction — endorsed by the CDO and Executive — is clear: consolidate onto GCP, raise the bar on data quality, and enable self-service access to trusted data for teams across the business.
Your role in the Team’s Success:
Our Machine Learning Engineering team is at the forefront of implementation data-driven solutions that give our clients a competitive edge. We deliver AI/ML products that power critical decision-making across the business and enhance our trading platforms with innovative features.
What you’ll do:
- 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.
What You'll Need:
- Proficiency in Python (experience with other languages is 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.)
The perks:
- Competitive salary & benefits plan
- Life Insurance
- MyBenefit Platform
- Medical Insurance with Medicover
- 1 additional day off to celebrate your Birthday
- 2 additional days off a year for voluntary work
- Share Plans for Employees
- Free lunch at the office (ones per week)
- Employee Assistance Program
- We work in hybrid working model
Number of openings
1Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Kraków - Poland
- Employee Assistance Program - We work in hybrid working model Number of openings
- Work authorization
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