SENIOR ML ENGINEER

• Design, build, and optimise machine learning models and pipelines that deliver real business impact
• Own the full ML lifecycle - from data ingestion and feature engineering through to training, evaluation, deployment, and monitoring
• Build and maintain MLOps infrastructure to support reliable, repeatable model delivery
• Collaborate with AI Engineers and data teams to turn business use cases into production-grade ML solutions
• Build and maintain observability tooling to monitor model performance, drift, and data quality in production
• Mentor junior engineers in the team - sharing knowledge, reviewing work, and helping them grow
• Continuously improve model quality, efficiency, and scalability across the product suite

• B.Sc. degree in Computer Science, Statistics, Applied Mathematics, Data Science, or related field
• Deep machine learning expertise - strong grasp of algorithms, model selection, and evaluation
• Solid software engineering skills - you write clean, production-ready code
• Hands-on MLOps experience - pipelines, experiment tracking, model versioning, and deployment
• Hands-on cloud experience, AWS preferred
• Track record ofbuilding, deploying, and operating ML systems at scale
• Experience with observability - monitoring, alerting, and keeping models healthy in production
• Strong foundations in statistics, mathematics, and data modelling
• Sharp problem-solving instincts by breaking complex technical challenges into structured, deliverable pieces
• Clear communicator who can work effectively across engineering and data teams
• Experience mentoring, supporting, and growing junior engineers

Should you not hear from us within 14 days then please consider your application as unsuccessful.