Senior Machine Learning Scientist
NoryLet’s fix hospitality, for good.
Hospitality is tough – margins are thin, waste is high, and teams are stretched. But it doesn’t have to be this hard. That’s why we built Nory.
Our CEO, Conor, knows the pain first-hand. After founding and scaling Mad Egg in Ireland, he got fed up with juggling “market-leading” systems, clunky spreadsheets, and endless printouts. So he set out to build the tool he wished he’d had from day one.
Nory is an all-knowing restaurant management system. It blends real-time data with AI predictive analytics, giving operators control of their margins. From food prep to forecasting, it’s operational intelligence that helps restaurants run with consistency, certainty, and profit. The result? Thriving restaurants, better jobs, less waste, healthier margins.
And we’re just getting started. Fresh off a Series B led by Kinnevik, we’ve grown to 70+ people across Ireland, the UK, and Spain – and demand is scaling faster than we ever imagined.We’re now looking for a Senior Machine Learning Scientist 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.
🌏 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 production
Apply strong classical ML thinking: you are confident in picking the right tool and justifying why
Keep models alive: build monitoring into every deployment (drift detection, retraining, KPI tracking) so models keep delivering value in production
Collaborate deeply with squads: work alongside product managers, engineers, and designers to define KPIs, design data flows, and embed ML into product features
Framework in business terms: focus on outcomes (profitability, efficiency, waste reduction), not just technical metrics
Contribute to culture: share learnings, give feedback, and help raise the bar for applied ML at Nory
What you’ll bring
Background: Master's Degree or higher in a STEM subject, with a significant statistics component
Full Lifecycle Ownership: You have 4+ years of experience taking ML systems from idea through to production in a commercial setting - repeatedly and successfully. You’re confident in owning the process independently, from problem formulation to monitoring impact in production
Classical ML theory depth: You are familiar with time-series forecasting, regression/classification, causal signals, feature engineering, evaluation/monitoring, and drift
Technical Proficiency: Strong Python and experience with ML libraries (e.g., Scikitlearn, Pandas, LightGBM), plus working knowledge of cloud infrastructure and data tools (Snowflake, DBT, Omni)
Rigour & Impact: You apply rigorous statistical and experimental thinking, and can demonstrate how your work has driven measurable business outcomes
Collaboration: You thrive in highly collaborative environments, communicate clearly, and offer help where needed to improve team outcomes
Startup mindset: You thrive in fast-paced environments, move quickly, and take initiative to maintain momentum and resolve issues efficiently. You are comfortable with ambiguity and multitask effectively while delivering real impact
Nice-to-have:
You have worked in smaller data teams with a high ownership culture
You have worked on B2B SaaS products
Experience with LLMs is a plus, but this role is not for LLM specialists - we solve forecasting, optimisation, and statistical learning problems
What you’ll get in return:
📈 Meaningful equity, at Nory everyone is an owner!
🌴 35 days of paid leave per year (including bank holidays)
🏥 Comprehensive private health insurance via Irish Life (Ireland) and Axa (UK)
🍼 Enhanced parental leave and baby loss support
📚 Learning & development culture – €1000 personal annual budget + quarterly book budget
🖥️ €250 home office workspace budget
🥳 Regular team offsites & socials
📍Offices in either London 🇬🇧 (LABS House, 15-19 Bloomsbury Way) or Dublin 🇮🇪 (Dogpatch Labs, The Chq Building, Custom House Quay, North Wall)
👏 And much more
How 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. To get there, we move fast, stay focused, and hold ourselves to a high bar. Our values guide how we work, grow, and win – together.
These are the values we live by:
We serve up impact with a side of profit
We prioritise work that delivers real financial results for our restaurant partners.
We prioritise speed of service
We move fast, unblock quickly, and deliver with urgency.
We act like owners
We own problems, raise the bar, and build better every day.
We win as a crew
We grow stronger through feedback, collaboration, and shared wins.
Interview Process
15-minute Initial Chat with Talent and People Partner
40-minute Hiring Manager Interview with our Head of Data
90-minute live problem-solving session with our senior data team member (no prep required)
40-minute Culture Interview with a Head of Design or Product
30-minute Final Stage with our CEO
We hire humans.
At Nory, we believe that diverse teams build better products. We welcome applicants from all backgrounds, identities, and walks of life. Your individuality matters, and we’re committed to creating an inclusive workplace where everyone can thrive. 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.