Senior Machine Learning Engineer

Posted One Month Ago
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Kraków, Małopolskie, POL
In-Office
Senior level
Fintech • Payments • Financial Services
The Role
Design, implement, maintain, and support AI/ML solutions, internal tools, and scalable ML infrastructure. Collaborate with researchers and business teams to productionize innovative ideas, provide AI/ML subject-matter expertise, lead projects when needed, and promote company-wide best practices. Manage orchestration, CI/CD, infrastructure, deployment, versioning, and monitoring across cloud and on-premises platforms.
Summary Generated by Built In

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

Skills Required

  • Proficiency in Python
  • Experience with other programming languages
  • Strong AI and machine learning expertise, including familiarity with current techniques
  • Solid understanding of database systems
  • Containerization experience with Docker
  • Working experience with ML orchestration tools such as Kubeflow, Airflow, or Prefect
  • Experience managing CI/CD pipelines and infrastructure with Terraform across GCP, AWS, Azure, and on-premises environments
  • Experience with Python AI and ML frameworks and libraries, including NumPy, Pandas, TensorFlow, PyTorch, Pydantic, or LangChain
  • Knowledge of MLOps practices, including deployment, versioning, and monitoring
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The Company
HQ: London
2,748 Employees

What We Do

We’ve been at the forefront of trading innovation since 1974, taking on the challenge to deliver an unmatched experience for our clients and raise the bar for tomorrow’s opportunities. Today, we’re a global fintech company incorporating the IG, tasty, IG Prime, Spectrum and DailyFX brands, with a presence in 18 countries across five continents – Europe, North America, Africa, Asia-Pacific and the Middle East. We’re an organisation of positive problem-solvers, united and inspired by our purpose, which is to power the pursuit of financial freedom for the ambitious. Our award-winning products and platforms empower go-getters the world over to unlock opportunities around the clock, giving them access to over 19,000 financial markets. Today, more than 400,000 clients call IG Group home. IG Group Holdings plc is an established member of the FTSE 250 and holds a long-term investment grade credit rating of BBB- with a stable outlook from Fitch Ratings

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