Join to apply for the Senior Applied ML Scientist role at Nory
Let’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 – an all‑knowing restaurant management system that blends real‑time data with AI predictive analytics to give operators control of their margins. From food prep to forecasting, Nory delivers operational intelligence that helps restaurants run with consistency, certainty, and profit. And we’re just getting started.
What you’ll be doing
* 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
* Frame 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 in a STEM subject, with a significant statistics component
* Full Lifecycle Ownership: 4+ years of experience taking ML systems from idea through to production in a commercial setting – confidently owning the process independently, from problem formulation to monitoring impact in production
* Classical ML theory depth: familiarity 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. Scikit‑learn, Pandas, LightGBM), plus working knowledge of cloud infrastructure and data tools (Snowflake, DBT, Omni)
* Rigour & impact: apply rigorous statistical and experimental thinking, and can demonstrate how your work has driven measurable business outcomes
* Collaboration: thrive in highly collaborative environments, communicate clearly, and offer help where needed to improve team outcomes
* Startup mindset: thrive in fast‑paced environments, move quickly, and take initiative to maintain momentum and resolve issues efficiently. Comfortable with ambiguity and multitasking
Nice‑to‑have
* Worked in smaller data teams with a high ownership culture
* 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 – everyone at Nory 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 – €1,000 personal annual budget + quarterly book budget
* €250 home office workspace budget
* Regular team off‑sites & 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.
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
* We prioritise speed of service
* We move fast, unblock quickly, and deliver with urgency
* We act like owners – 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.
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