Senior Machine Learning Engineer

ig; Kraków; On-site; PLN 180,000 - 260,000; Full time

Benefits offered by this job

Networking opportunities

Mentorships

Volunteering opportunities

Extra time off

Job summary

IG Group is seeking a Senior Machine Learning Engineer to deliver data-driven AI/ML solutions powering trading platforms. You will work across the Data Engineering team to implement production-ready models and tools, advancing our data capabilities.

The role emphasizes collaboration with researchers, scalability, and staying ahead of AI/ML best practices in a fast-paced fintech environment.

Qualifications

• Proficiency in Python and AI/ML development.
• Experience with modern ML frameworks and libraries.
• Strong understanding of databases and data platforms.
• Experience with containerisation (Docker).
• Experience with ML orchestration tools and CI/CD for ML deployments.

Responsibilities

• Design, implement and support AI/ML solutions and internal tools; lead projects when required.
• Act as SME for AI/ML solutions and drive expertise across IG Group.
• Provide support and maintenance for existing ML products.

Skills

Python

AI/ML

Databases

Docker

Kubeflow

Airflow

Prefect

Terraform

GCP/AWS/AZURE

Tools

TensorFlow

PyTorch

NumPy

Pandas

LangChain

Pydantic

Job description

Senior Machine Learning Engineer

Compensation details will be shared by the recruiter during the first interview.

So, who are we?

IG Group is a FTSE 100 fintech operating across five continents, serving over 1.3m 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

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, onpremises 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

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.

Who we're looking for?

• A skilled Engineer who can collaborate with researchers or act solely to turn innovative ideas into production-ready solutions


• Someone who thrives in a fast-paced environment and can balance multiple priorities effectively


• A problem-solver who can optimize existing systems while building new scalable ML infrastructure


• A team player who can communicate complex technical concepts to stakeholders across the business


• An innovative thinker who stays current with the latest AI/ML technologies and best practices

While there are many profiles of people who work at IG - across all roles, we're looking for a few common traits:

• You are curious about our product and the technology that sits behind it


• You care about our clients, and you are hungry to improve their user experience


• You are impatient about driving change and willing to deliver at pace


• You are not afraid of the complexity of financial regulation and want to learn & grow your expertise


• You are a creative problem solver capable of innovating and thinking big

We don't fit the corporate stereotype. If you want to work for a traditional, suit-and-tie corporate, we might not be for you. But, if you have that IG Group energy and you can stand behind what we believe in , join us in raising the bar for our customers and across the trading industry.

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.)

How you'll grow

When you join IG Group, we want you to have more than a job - we want you to have a career. And you can. If you spot an opportunity, we want you to chase it. Stretch yourself, challenge your self- beliefs and go for the things you dream of. With internal and external learning opportunities, and the tools to help you skyrocket to success, we'll support you all the way.

And these opportunities truly are endless because we have some bold targets. We plan to expand our global presence, increase revenue growth, and ultimately deliver the world's best trading experience. We'd love to have you along for the ride.

The perks

It really is more than a job. We'll recognize your talent and make sure that you can still have a life - at work, and outside of it. Networks, committees, awards, sports and social clubs, mentorships, volunteering opportunities, extra time off... the list goes