Senior Machine Learning Engineer (UK)
Job Description
TWG Global AI is seeking a Senior Machine Learning Engineer to join their UK team in a hybrid role based in London. This position offers an exciting opportunity to work at the intersection of AI and financial services, where you'll be part of a dynamic team driving innovation across multiple industries. As a Senior ML Engineer, you'll be responsible for designing, building, and scaling machine learning systems that deliver real business value. The role reports to the Executive Director of ML Engineering and offers hands-on experience with production-grade pipelines, monitoring frameworks, and scalable ML applications.
The company operates with a decentralized structure, allowing autonomous business units supported by a central AI Solutions Group. You'll work alongside experienced ML engineers and data scientists, contributing to mission-critical business functions while leveraging relationships with top tech startups and universities. The position requires 3+ years of experience in production ML environments and offers exposure to cutting-edge technologies including MLOps tools, cloud services, and various ML frameworks.
This role is perfect for someone looking to deepen their expertise in production systems and MLOps while growing within a dynamic AI team. You'll be working with large-scale datasets, implementing monitoring solutions, and ensuring robust ML deployments in regulated environments. The company offers competitive compensation, including a discretionary bonus, comprehensive benefits, and future equity options. TWG Global's commitment to ethical AI practices and regulatory compliance makes this an ideal opportunity for professionals who want to make a meaningful impact while advancing their careers in machine learning engineering.
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)
- 3+ years of experience building and deploying machine learning models in production
- Understanding of machine learning engineering fundamentals
- Experience with MLOps tools
- Proficiency in Python and ML libraries
- Strong experience with data manipulation and pipelines
- 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)
- Work at the forefront of AI/ML innovation
- Competitive compensation
- Future equity options
- Leadership opportunities
- Full range of medical benefits
- Financial benefits
- Discretionary bonus
