Senior Machine Learning Engineer

Description

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

How you’ll grow

• Comprehensive global and local onboarding process – to the company and to your role

• Employee-led LGBTQ+, Women’s, Black and Parents & Carers networks with annual budget for organizing events & projects that foster an open, diverse and inclusive culture

• LinkedIn Learning platform free access

• Option to participate and create ESG initiatives based on IG Brighter Future Fund

• Employee Assistance Program

• We work in hybrid working model

The perks

• Competitive salary & benefits plan

• 1 additional day off to celebrate your Birthday

• 2 additional days off a year for voluntary work

• Share Plans for Employees

How we work

• 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

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

• 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

• 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.)

What you’ll need

• Proficiency in Python (experience with other languages is a plus)

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.

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.