Job Specifications
hackajob is collaborating with Nory to connect them with exceptional tech professionals for this role.
Senior Machine Learning Engineer
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.
Our CEO, Conor, founded and scaled Mad Egg - one of the fastest-growing restaurant groups in Ireland. After years of juggling "market-leading" systems, spreadsheets, and paper printouts, he set out to build the solution he wished he had from day one: Nory.
Nory is an all-knowing restaurant management system. It 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.
Now, with demand growing faster than we imagined - and a recent Series A led by Accel - we're scaling fast. We've grown to a team of 50+ across Ireland, the UK and Spain, and we're just getting started.
We're now looking for a Senior Machine Learning Engineer 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.
Please note you must have the right to work in the UK/EU to be considered for this role.
What You'll Be Doing
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.
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: You have at least 5 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
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 - EUR1000 personal annual budget + quarterly book budget
EUR250 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 p
About the Company
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