Overview

Senior Machine Learning Engineer to join the Data team. This role is ideal for a senior independent doer who has owned the entire ML lifecycle and is ready to ship production-grade ML systems from scratch.

What You’ll Be Doing

• Own the end-to-end development of machine learning systems, from problem formulation and algorithm design through 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, from data access and cleaning to modelling and integration
• Work autonomously while contributing to a culture of collaboration, learning, and continuous improvement
• Participate in peer reviews, team rituals, and cross-functional discovery, sharing insights 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 to production in a commercial setting, independently from problem formulation to monitoring impact
• Technical Proficiency: strong Python and ML libraries (e.g., Scikit-learn, Pandas, LightGBM); working knowledge of cloud infrastructure and data tools (Snowflake, DBT, Omni)
• Structured Thinking: clear, repeatable processes for ML problems, including problem formulation, KPI definition, and experimental design
• Rigour & Impact: demonstrated rigorous statistical and experimental thinking with measurable business outcomes
• Collaboration: thrives in collaborative environments, communicates clearly, and supports team outcomes
• Startup mindset: comfortable with fast pace and ambiguity, takes initiative to maintain momentum and deliver 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 the role focuses on forecasting, optimisation, and statistical learning problems

What You’ll Get In Return

• Competitive salary depending on experience, plus 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 budget: €1000 personal annual budget + quarterly book budget
• €250 home office workspace budget
• Regular team offsites and socials
• Remote working with co-working office space in London or Dublin

How We Work

Our vision is to build a better future for the restaurant industry. We move fast, stay focused, and hold ourselves to a high bar. Our values guide how we work, grow, and win—together.

We hire humans

At Nory, we believe diverse teams build better products. We welcome applicants from all backgrounds and identities. We do not discriminate based on gender, ethnicity, sexual orientation, religion, family status, age, disability, or race. Please let us know if you require adjustments to bring your best self to the interview process.

Senior Machine Learning Engineer - up to £135k base plus equity (London, UK)