Machine Learning Performance Engineer

New Yesterday

Lets fix hospitality, for good.
Were on a mission to help the hospitality industry double their profitability, reduce their carbon footprint, and create better working environments for their teams.
Our CEO, Conor, founded and scaled Mad Egg - one of the fastest-growing restaurant groups in Ireland. Nory is an all-knowing restaurant management system. It combines real-time data with AI predictive analytics to help restaurants operate with consistency, certainty and profitability. From food prep to forecasting, Nory puts operators in control of their margins.
Were now looking for a Machine Learning Engineer to join our Data team. This role is ideal for a senior independent doer, someone who has owned the entire ML lifecycle and is ready to ship meaningful, production-grade ML systems from scratch. it's about building systems that work in the real world and move the needle on customer outcomes and business impact.
Own the end-to-end development of machine learning systems, from business problem formulation and algorithm design through to deployment and monitoring in production
Collaborate with product managers and engineers to define KPIs, design data flows, and embed algorithms in product features
Apply best-in-class ML practices with clear problem framing, model evaluation, experimentation, and observability- to deliver real-world impact
Independently lead the development of models across the platform acting as the primary ML owner and act as the primary ML owner; from data access and cleaning to modelling and integration
Actively participate in peer reviews, team rituals, and cross-functional discovery, sharing insight and offering help where needed
Undergraduate Degree or higher in STEM, with a significant statistics component
Youve taken ML systems from idea through to production in a commercial setting - repeatedly and successfully. Youre confident in owning the process independently, from problem formulation to monitoring impact in production
Strong Python and experience with ML libraries (e.g., Scikitlearn, Pandas, LightGBM), plus working knowledge of cloud infrastructure and data tools (Snowflake, DBT, Omni)
Structured Thinking: You use a clear and repeatable process to approach ML problems, including problem formulation, KPI definition, and experimental design
Collaboration: You thrive in highly collaborative environments, communicate clearly, and offer help where needed to improve team outcomes
35 days of paid leave per year (including bank holidays)
Comprehensive private health insurance
Enhanced parental leave and baby loss support
250 home office workspace budget
Our vision is to build a better future for the restaurant industry.
To get there, we move fast, stay focused, and hold ourselves to a high bar. We prioritise work that delivers real financial results for our restaurant partners.
~ We prioritise speed of service

We own problems, raise the bar, and build better every day.
~ We do not discriminate based on gender, ethnicity, sexual orientation, religion, family status, age, disability, or race.
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Location:
London
Job Type:
FullTime

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