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Senior Machine Learning Engineer (UK)

TWG Global drives innovation across industries using data and AI, delivering real-time intelligence and interactive business applications while ensuring ethical standards and regulatory compliance.
Machine Learning
Senior Software Engineer
Hybrid
3+ years of experience
AI · Finance · Insurance

Job Description

TWG Global AI is seeking a Senior Machine Learning Engineer to join their innovative team in London, UK. This role offers a unique opportunity to work at the intersection of AI and financial services, contributing to mission-critical business functions. As a Senior Associate, you'll collaborate with experienced ML engineers and data scientists to design, build, and scale machine learning systems that deliver real business value.

The position involves working with cutting-edge technologies and tools in the ML space, including MLOps platforms, cloud services, and modern monitoring solutions. You'll be responsible for developing production-grade pipelines, implementing monitoring frameworks, and ensuring the scalability and reliability of ML applications.

TWG Global operates with a decentralized structure, allowing autonomous business units supported by a central AI Solutions Group. The company partners with leading data and AI vendors to drive innovation in marketing, operations, and product development. This role offers exposure to various industries, including financial services, insurance, technology, media, and sports.

The ideal candidate brings 3+ years of hands-on experience in ML engineering, strong technical skills in Python and related ML frameworks, and a solid understanding of MLOps practices. You'll have the opportunity to work with large-scale datasets, implement sophisticated monitoring solutions, and contribute to the company's AI transformation journey.

Benefits include competitive compensation, future equity options, comprehensive medical coverage, and the chance to work at the forefront of AI innovation. The hybrid work arrangement offers flexibility while maintaining collaborative opportunities in the London office. This role presents an excellent opportunity for career growth within a dynamic AI team operating at the frontier of applied machine learning.

Last updated a day ago

Responsibilities For Senior Machine Learning Engineer (UK)

  • Contribute to the design, development, and deployment of ML models and pipelines
  • Support production efforts, including model packaging, integration, CI/CD deployment, and monitoring
  • Build internal ML engineering tools and infrastructure
  • Partner with Data Scientists to operationalize prototype models
  • Work with large-scale datasets for feature engineering and transformation
  • Implement monitoring dashboards, alerts, and diagnostics
  • Contribute to documentation, governance, and reproducibility practices

Requirements For Senior Machine Learning Engineer (UK)

Python
Kubernetes
  • 3+ years of experience building and deploying machine learning models in production
  • Understanding of machine learning engineering fundamentals
  • Experience with MLOps tools (MLflow, Weights & Biases)
  • Proficiency in Python and ML libraries
  • Strong experience with data manipulation using Pandas, NumPy, and SQL
  • Knowledge of containerized deployments and cloud ML services
  • Bachelor's or Master's degree in Computer Science, Machine Learning, or related field
  • Strong written and verbal communication skills

Benefits For Senior Machine Learning Engineer (UK)

Medical Insurance
Equity
  • Work at the forefront of AI/ML innovation
  • Competitive compensation
  • Future equity options
  • Leadership opportunities
  • Full range of medical benefits
  • Financial benefits