Machine Learning Engineer
Home Worker - Poland
IG Group
IG Group is a world leader in derivatives trading and an established member of the FTSE 250. Discover more about IG, our brands and current vacancies.Job Title
Machine Learning EngineerJob Description
Seeking an experienced ML Engineer to build and maintain cutting-edge AI solutions for our global trading platform. Join our innovative team to design and implement data-driven systems that will transform how our customers trade and invest across markets.
So who are we?
Hello, we’re IG Group. We are a publicly-traded FTSE250 FinTech company who run mobile, web and desktop platforms that help our clients trade stocks & shares, leveraged products, Futures & Options and Crypto.
We are ambitious. Over 340,000 people already use our platforms. We’re global with offices in 18 countries and products in 16 regions. We’re hungry to move faster, ship better product for our customers and grow our user base. We believe in high autonomy, and we want people who are looking to do things differently in order to create better experiences for our customers.
We work in cross-functional teams and are laser focused on increasing the number of active clients we serve to drive sustainable growth.
Dealing Support Analyst
Your role in the Data & AI Team
Our Machine Learning Engineering team is a part of Data and AI Transformation dept. which is at the forefront of building intelligent solutions. We develop advanced machine learning models and data pipelines that power critical decision-making across the business and enhance our trading platform with innovative features.
What you'll do
Designing, implementation and support of ML/AI/Data solutions as well as internal tools and systems.
Support and Maintenance of the existing solutions.
Supporting the researchers in their daily work and projects.
Who we are looking for?
A skilled ML Engineer who can collaborate with researchers 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 ML/AI 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; and
You are a creative problem solver capable of innovating and thinking big.
What you'll need
Proficiency in Python (experience with Java is a plus)
Solid understanding of database systems (SQL is a must / noSQL is a plus)
Containerisation experience (Docker)
Working experience with ML orchestration tools (Kubeflow/Airflow/Prefect)
Managing CI/CD pipelines and infrastructure (GCP/AWS/Azure/on-premises)
Solid ML knowledge (AI knowledge is a plus)
Experience with Python ML frameworks / libraries (scikit-learn/Tenforflow/PyTorch/LangChain)
MLOps practices knowledge (deployment, versioning, monitoring) is a plus
How we work
We try to take a thoughtful approach to our ways of working as a company. We follow a hybrid working model with 3 days in the office – which we think balances the need to collaborate effectively and connect with each other. When it comes to how we deliver, there are 5 things we want everyone to do to drive high performance, better learning and career satisfaction:
Lead and Inspire: Drives trust, alignment, and enthusiasm
Think Big: Focus on the problems that most impact commercial outcomes
Champion the client: Understand and prioritise client's needs
Deliver at pace: Push for fast, sustainable growth;
Raise the bar: Take ownership, be accountable and share feedback
We believe that diversity is vital to success, it fuels creativity, drives innovation and sets us up for global success. We’re committed to building teams with a variety of perspectives and skills to help us realise our vision and strategy, that’s why we encourage applications from people with diverse backgrounds and experiences to join us on this journey. Learn more about our D&I approach here.
The Perks
Your growth fuels our success! Thrive with tailored development programs, mentoring opportunities with leaders, and clear career progression. Expand your network through committees, sports and social clubs. Enjoy extra time off for volunteering and community work.
Home office equipment reimbursement
Performance relate bonus
Private medical cover for you and your family/partner (Medicover)
Multikafeteria system (you can choose a multisport card, vouchers, etc.)
Life insurance (Generali)
LinkedIn Learning platform free access
Share Plans for Employees
Employee-led LGBTQ+, Women’s, Black, and Parents & Carers networks with an annual budget for organizing events & projects that foster an open, diverse, and inclusive culture
Career-focused technical and leadership training in-class and online, incl. unlimited access to LinkedIn Learning platform
Well-being events as well as Employee Assistance Programme
Summer picnic, New Year party and other social events
3 additional days off a year - 1 to celebrate your Birthday and 2 for voluntary work
App-based parking spots booking system
Stretching sessions
Wellbeing weeks
Learn more about the Perks here!
Join us for this exciting journey. Apply now!
Number of openings
1* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow AWS Azure CI/CD Crypto Data pipelines Docker Engineering FinTech GCP Java Kubeflow LangChain Machine Learning ML infrastructure ML models MLOps NoSQL Pipelines Python PyTorch Scikit-learn SQL
Perks/benefits: Career development Equity / stock options Flex vacation Gear Health care Salary bonus Startup environment Team events Unlimited paid time off
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