Staff Machine Learning Engineer
Soft Tech Cube- London, United Kingdom
- Hybrid
- Negotiable
Full-Time
Deadline: 19 Feb, 2026
- Posted: 1 week ago
- Vacancy: 1
About the Company
TWG Global AI is an AI-first, cloud-native organization driving innovation across financial services, insurance, technology, media, and sports through responsible data and AI solutions.
Location
Hybrid (London, United Kingdom)
Employment Type
Full-Time
Experience Level
Senior/Leadership Level
Job Role
Lead the architecture and delivery of scalable ML platforms, pipelines, and production-ready machine learning systems across the enterprise.
Key Responsibilities
Design and deploy large-scale ML systems and pipelines
Implement MLOps best practices for deployment, monitoring, and reliability
Collaborate with data scientists and engineering teams
Mentor ML engineers and set technical best practices
Ensure compliance, governance, and responsible AI standards
Requirements
8+ years of experience building production ML systems
Strong expertise in TensorFlow, PyTorch, and Python
Experience with cloud ML platforms (AWS, GCP, Azure)
Knowledge of Kubernetes, Docker, and scalable ML pipelines
Master’s or PhD in Machine Learning or related field (preferred)
What We Offer
Competitive compensation with performance bonus
Hybrid work model in the UK
Opportunity to lead enterprise AI transformation
Work with cutting-edge ML and GenAI technologies
How to Apply
click on "apply now" or send your resume at careers@twgglobal.ai
- Category: Information Technology (IT) & Software
- Employees: 21
- Founded: Jan 15, 2026
Jobs you might be interested
ML Ops Support Engineer
Soft Tech Cube- United States
- Hybrid
- Negotiable
Machine Learning Engineer
StratifyIQ Analytics LLC- Obeh
- On-site
- Negotiable