Overview

Let’s fix hospitality, for good. We’re on a mission to help the hospitality industry double their profitability, reduce their carbon footprint, and create better working environments for their 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 are scaling fast and looking for a Senior Applied ML 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. 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.

Please note you must have the right to work in the UK/EU to be considered for this role.

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
• 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 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, with independent ownership from problem formulation to monitoring impact
• Classical ML theory depth: familiarity with time-series forecasting, regression/classification, causal signals, feature engineering, evaluation/monitoring, and drift
• Technical Proficiency: strong Python and ML libraries (e.g., Scikit-learn, Pandas, LightGBM), plus working knowledge of cloud infrastructure and data tools (Snowflake, DBT, Omni)
• Rigour & Impact: rigorous statistical and experimental thinking with demonstrated business outcomes
• Collaboration: thrives in collaborative environments, communicates clearly, and helps improve team outcomes
• Startup mindset: fast-paced, proactive, comfortable with ambiguity, and able to multitask 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 focuses on forecasting, optimisation and statistical learning problems.

What you’ll get in return

• Competitive salary depending on experience
• Equity at our Series A valuation
• 35 days of paid leave per year (including bank holidays)
• Comprehensive private health insurance
• 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
• Remote working with co-working office space in London or Dublin
• 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.

• 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.