We’re now 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 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; from data access and cleaning to modelling and integration
• Work autonomously while contributing to a culture of collaboration, shared learning, and continuous improvement
• Actively participate in peer reviews, team rituals, and cross-functional discovery, sharing insight and offering help where needed

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 - repeatedly and successfully. You’re confident in owning the process independently, from problem formulation to monitoring impact in production
• Classical ML theory Foundation: 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)
• Structured Thinking: You use a clear and repeatable process to approach ML problems, including problem formulation, KPI definition, and experimental design
• 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: 💰 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 either London 🇬🇧 (LABS House, 15-19 Bloomsbury Way) or Dublin 🇮🇪 (Dogpatch Labs)

👏 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.