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Senior Machine Learning Engineer

Kraków - Poland

Pay
Salary not listed in the saved posting
Work setup
Unconfirmed
Employment
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Apply at IG Group

What you’ll work on

Full posting
  • 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.

  • Support and Maintenance of the existing products.

From the employer’s posting
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.
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:

What you’ll bring

All qualifications

Core experience

  • Solid understanding of database systems
  • 1 additional day off to celebrate your Birthday
  • Experience with Python AI & ML frameworks/libraries (NumPy/Pandas/TensorFlow/PyTorch/Pydantic/LangChain)
  • 2 additional days off a year for voluntary work

Preferred experience

  • experience with other languages is a plus
Qualification wording
Solid understanding of database systems
1 additional day off to celebrate your Birthday
Experience with Python AI & ML frameworks/libraries (NumPy/Pandas/TensorFlow/PyTorch/Pydantic/LangChain)
2 additional days off a year for voluntary work
Proficiency in Python (experience with other languages is a plus)

Tools in this posting

  • Python
  • AWS
  • Google Cloud (GCP)
  • Terraform
  • Azure
  • Docker
  • Prefect
  • pandas
  • NumPy
  • PyTorch
  • TensorFlow
  • Airflow
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)

Job description

View original posting ↗

Job Title

Senior Machine Learning Engineer

Job 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

1

Your next step

  • Have your CV and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.
  • Ask the employer about the salary range before committing time to the process.

Complete your application on ig.wd103.myworkdayjobs.com. The employer’s form will show what is required.

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Source & posting history

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Pay

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Location & working pattern

Kraków - Poland

- Employee Assistance Program - We work in hybrid working model Number of openings
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Status in our records
Active
First seen by us
Aug 24, 2026
Recorded sightings
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Last seen by us
Oct 9, 2026

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