Senior Machine Learning Engineer

IG operates an award-winning trading platform and provides forex trading services, support, and educational resources through IG Academy.

0 current maintainers0 active leadsTeam intelligence

Maintainer signals as of 8/23/2026

London, UK
About IG

IG is a trading-services company offering an award-winning trading platform, including forex trading services in the US. Its website highlights instant support and educational resources through IG Academy, and warns users about the risks of leveraged CFD trading.

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Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You design implement and support AI and machine learning solutions together with internal tools and systems. You turn innovative ideas into production-ready products collaborate with researchers act as a subject matter expert lead projects when needed and maintain existing products. You also build scalable infrastructure and apply orchestration CI/CD and MLOps practices.

Requirements

  • Proficiency in Python
  • Strong AI and machine learning expertise
  • Familiarity with current AI and machine learning techniques
  • Understanding of database systems
  • Containerization experience with Docker
  • Experience with Kubeflow Airflow Prefect or similar orchestration tools
  • Experience managing CI/CD pipelines
  • Experience with Terraform
  • Experience across GCP AWS Azure or on-premises platforms
  • Experience with NumPy Pandas TensorFlow PyTorch Pydantic or LangChain
  • Knowledge of MLOps practices

Responsibilities

  • Design and implement AI and machine learning solutions
  • Build internal tools and systems
  • Lead projects when required
  • Support teams with AI and machine learning expertise
  • Drive AI and machine learning capability across the business
  • Maintain existing products
  • Turn research ideas into production-ready solutions
  • Optimize existing systems and build scalable machine learning infrastructure
  • Manage orchestration tools CI/CD pipelines and infrastructure
  • Apply MLOps practices including deployment versioning and monitoring

Benefits

  • Hybrid working
  • Birthday day off
  • Two additional days off for voluntary work
  • Employee share plans
  • Comprehensive onboarding process
  • Employee-led LGBTQ+ Women’s Black and Parents & Carers networks with annual budget
  • Free access to LinkedIn Learning
  • Option to participate in and create ESG initiatives
  • Employee Assistance Program