Senior Machine Learning Scientist

Overview

We’re fixing hospitality for good. We’re on a mission to help the hospitality industry double profitability, reduce carbon footprint, and create better working environments for teams. Nory is an all-knowing restaurant management system that 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. We’ve grown to a team of 50+ across Ireland, the UK and Spain and we’re scaling fast with a Series A led by Accel.We’re now looking for a

Senior Machine Learning Scientist

to join our

Data team . This role is ideal for a senior independent doer who has owned the entire ML lifecycle and is ready to ship production-grade ML systems from scratch. Please note you must have the right to work in the UK/EU to be considered for this role.What You’ll Be Doing

This is not a research or experimentation role; it’s about building systems that work in the real world and move the needle on customer outcomes and business impact. It is about

building

production ML algorithms that move KPIs .Own the full ML lifecycle: from business problem formulation and algorithm design through to deployment, monitoring, and iteration in productionApply strong classical ML thinking: you are confident in picking the right tool and justifying whyKeep models alive: build monitoring into every deployment (drift detection, retraining, KPI tracking) so models keep delivering value in productionCollaborate deeply with squads: work alongside product managers, engineers, and designers to define KPIs, design data flows, and embed ML into product featuresFrame in business terms: focus on outcomes (profitability, efficiency, waste reduction), not just technical metricsContribute to culture: share learnings, give feedback, and help raise the bar for applied ML at NoryWhat You’ll Bring

Background: Master’s Degree or higher in a STEM subject, with a significant statistics componentFull Lifecycle Ownership: 4+ years of experience taking ML systems from idea through to production in a commercial setting, independently owning the processClassical ML theory depth: time-series forecasting, regression/classification, causal signals, feature engineering, evaluation/monitoring, driftTechnical Proficiency: Strong Python and ML libraries (Scikit-learn, Pandas, LightGBM), plus cloud and data tool knowledge (Snowflake, DBT, Omni)Rigour and Impact: Rigorous statistical and experimental thinking with measurable business outcomesCollaboration: Thrive in collaborative environments, communicate clearly, help improve team outcomesStartup mindset: Fast, proactive, comfortable with ambiguity and multitasking while delivering real impactNice-to-have

Experience in smaller data teams with high ownership cultureExperience with B2B SaaS productsExperience with LLMs is a plus, but this role focuses on forecasting, optimisation, and statistical learningWhat you’ll get in return

Competitive salary depending on experienceEquity at our Series A valuation35 days of paid leave per year (including bank holidays)Comprehensive private health insuranceEnhanced parental leave and baby loss supportLearning and development culture – €1000 personal annual budget + quarterly book budget€250 home office workspace budgetRegular team offsites and socialsRemote working with co-working office space in London or DublinAnd much moreHow We Work

Our vision is to build a better future for the restaurant industry.

One where operators are in control, margins are stronger, and frontline teams can build careers they’re proud of. We move fast, stay focused, and hold ourselves to a high bar. Our values guide how we work, grow, and win – together.We serve up impact with a side of profit: prioritise work that delivers real financial results for restaurant partnersWe prioritise speed of service: move fast, unblock quickly, and deliver with urgencyWe act like owners: own problems, raise the bar, and build better every dayWe win as a crew: grow through feedback, collaboration, and shared winsInterview Process

15-minute Initial Chat with Talent and People Partner40-minute Hiring Manager Interview with Head of Data90-minute live problem-solving session with a senior data team member40-minute Culture Interview with a Head of Design or Product30-minute Final Stage with our CEOWe hire humans. We welcome applicants from all backgrounds, identities, and walks of life. We do not discriminate based on gender, ethnicity, sexual orientation, religion, family status, age, disability, or race. Please let us know if you require any adjustments so you can bring your best self to the interview process.Seniority level

Mid-Senior levelEmployment type

Full-timeJob function

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