Machine Learning Engineer, Lantum

• Strong end-to-end data science skills with experience deploying models into production
• Deep expertise in Python, ML frameworks, optimisation methods, and cloud engineering
• A scientific, hypothesis-driven mindset with high attention to accuracy and rigour
• Ability to work with messy real-world data and design robust solutions
• Clear communicator who can work effectively with engineering and product teams
• A degree (Masters and/or PhD preferred but not required) in a numerical field such as mathematics, statistics, physics, computer science, engineering or another STEM-oriented subject
• Demonstrable experience in delivering production-grade code
• Some formal training in (or comparable deep practical exposure to) descriptive statistics, probability, inferential statistics, software development, and general data science fundamentals
• An ideal candidate has demonstrable skills and experience in the following technologies
• The wider Python (3) data science stack and ecosystem (such as Pandas, NumPy, Jupyter notebooks, SciPy, FastAPI, Flask, Matplotlib, and similar)
• Core ML and DL frameworks (such as PyTorch (strongly preferred), Keras, TensorFlow, scikit-learn, and similar)
• Cloud compute, infrastructure, services, and deployment w.r.t. end-to-end data science (ideally AWS (such as S3, EC2, Lambda, ECR, ECS))
• Data visualisation methods and tools (such as Matplotlib, Bokeh or Seaborn)
• CI/CD
• Git
• An appreciation for solid coding practices
• Prior exposure to or interest in some of the following is highly b

Desirable

• This role strengthens the core of our AI scheduling engine. You will build and optimise the models that power Connected Scheduling, improve our internal data science capability, and work closely with engineering to deliver fast, accurate, and reliable solving at scale
• Build, optimise, and maintain production-grade AI models for complex rota scheduling
• Improve data pipelines, workflows, and experimentation processes to enhance model reliability
• Collaborate with engineering to embed AI into core product workflows
• Apply scientific best practice to ensure accuracy, fairness, and compliance across all models

• Talent Screen: We’ll book you in for a quick introductory chat, and to answer any initial questions you might have
• Meet your manager: We’ll book you in for a first interview with your potential future manager, so you can learn more about the role and we get a deeper understanding of your experience
• Technical Interview - Pair Coding: We’ll have some fun working on a practical and relevant problem together. We’re particularly keen to understand how you approach writing code and the way you think about a problem. You’ll be provided with a brief the day before so will have a limited time to prepare
• Values Interview: You’ll meet more members of the team to talk about the Lantum Values. This will be an opportunity for them to ask competency questions and also the chance for you to ask questions about life at Lantum