About this role
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