ML Engineer

Role overview

Responsibilities

• check_circle Build, optimise, and maintain production-grade AI models for complex rota scheduling
• check_circle Improve data pipelines, workflows, and experimentation processes to enhance model reliability
• check_circle Collaborate with engineering to embed AI into core product workflows
• check_circle Apply scientific best practice to ensure accuracy, fairness, and compliance across all models
• check_circle Strong end-to-end data science skills with experience deploying models into production
• check_circle Deep expertise in Python, ML frameworks, optimisation methods, and cloud engineering
• check_circle A scientific, hypothesis-driven mindset with high attention to accuracy and rigour
• check_circle Ability to work with messy real-world data and design robust solutions
• check_circle Clear communicator who can work effectively with engineering and product teams
• check_circle 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
• check_circle Demonstrable experience in delivering production-grade code
• check_circle Some formal training in (or comparable deep practical exposure to) descriptive statistics, probability, inferential statistics, software development, and general data science fundamentals.
• check_circle The wider Python (3) data science stack and ecosystem (such as Pandas, NumPy, Jupyter notebooks, SciPy, FastAPI, Flask, Matplotlib, and similar)
• check_circle Core ML and DL frameworks (such as PyTorch (strongly preferred), Keras, TensorFlow, scikit-learn, and similar)
• check_circle Cloud compute, infrastructure, services, and deployment w.r.t. end-to-end data science (ideally AWS (such as S3, EC2, Lambda, ECR, ECS))
• check_circle Data visualisation methods and tools (such as Matplotlib, Bokeh or Seaborn)
• check_circle CI/CD
• check_circle Git
• check_circle An appreciation for solid coding practices
• check_circle Constraint/constrained optimisation and programming (particularly using metaheuristics for scheduling problems) in relation to both practical solvers and formal theory
• check_circle OptaPlanner/TimeFold or Google OR-Tools
• check_circle Basic containerisation via Docker
• check_circle MLOps platforms, services, and tools (such as DVC, MLflow, SageMaker or Weights & Biases)
• check_circle Agentic applications and/or conversational interfaces
• check_circle SQL and relational DBs (such as Postgres, Aurora or Athena)
• check_circle No-SQL DBs (such as MongoDB)
• check_circle Java
• check_circle Talent Screen: We’ll book you in for a quick introductory chat, and to answer any initial questions you might have.
• check_circle 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.
• check_circle 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.
• check_circle 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.

Benefits

• check_circle ️ Health Cash Plan:
• check_circle Cash refunds for physio, dental, and other health related costs.
• check_circle An Employee Pricing Program that grants you access to special, non-public discounts to gyms and top retail brands.
• check_circle Plus access to a 24/7 counselling and support helpline.
• check_circle More than me: Our goals are too big to achieve on our own, it takes diverse skills and various people to achieve greatness.
• check_circle Care a lot: Doing the right thing isn’t optional. We care a lot about our users, the NHS and each other. We hold each other to the highest standards and earn our reputation every day.
• check_circle See it thru: We’re constantly looking for excellence. We take pride in planning and execution of all types of work, and we’re not deterred by bumps in the road or adversity. When we see obstacles, we relish the challenge and keep going.
• check_circle Think around corners: We always stay ahead of the curve. All of us share a responsibility to challenge the status quo, think outside the box, turn problems on their head and turn weaknesses into strengths.
• check_circle Bounce back & learn: Being brave, taking risks and trying new things. It’s better to take risks and learn from them and being open to changing from what you learned is what makes us successful.