Overview

Senior Machine Learning Engineer role at Nory.

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’ve grown to a team of 50+ across Ireland, the UK and Spain and are scaling fast after a Series A led by Accel.

We’re now looking for a Senior Machine Learning Engineer 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 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

• 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 or higher in a STEM subject, with a significant statistics component
• Full Lifecycle Ownership: at least 5 years of experience taking ML systems from idea through production in a commercial setting
• Technical Proficiency: Strong Python experience and ML libraries (e.g., Scikit-learn, Pandas, LightGBM), plus cloud and data tools (Snowflake, DBT, Omni)
• Structured Thinking: clear, repeatable process for ML problems, including problem formulation, KPI definition, and experimental design
• Rigour & Impact: rigorous statistical and experimental thinking with measurable business outcomes
• Collaboration: thrives in collaborative environments, communicates clearly, helps others to improve outcomes
• Startup mindset: thrives in fast-paced environments, comfortable with ambiguity and multi-tasking while delivering impact

Nice-to-have

• Experience in smaller data teams with high ownership culture
• Experience with B2B SaaS products
• Experience with LLMs is a plus, but not focused on LLM specialization

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. 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 — focus on real financial results for our restaurant partners
• We prioritise speed of service — 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 — grow stronger through feedback, collaboration, and shared wins

Interview Process

• 40-minute Hiring Manager Interview with Head of Data
• Take-home task with a 1-hour review session
• 40-minute Culture Interview with Head of Design or Head of Product
• 30-minute Final Stage with our CEO

We hire humans. We welcome applicants from all backgrounds 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 to interview processes.

Job Details

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Engineering and Information Technology
• Industries: Software Development