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"description": "<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt; font-weight: bold\">Are you ready to take your Machine Learning skills to the next level?</span></p>\n<p><span style=\"color: rgb(81, 82, 87); font-family: arial, helvetica, sans-serif; font-size: 12pt\">We are hiring a Founding Machine Learning Engineer to own the intelligence layer of our products. You will design, build, and improve the models and decision systems behind recommendations, ranking, personalisation, retrieval, agent behaviour, and selected predictive analytics use cases. You will work directly with the founders to turn ambiguous product ideas into production systems that create measurable customer value. In a team of our size, this is an end-to-end role: you may touch data exploration, modelling, evaluation, experimentation, and production iteration in the same week.</span></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\"><span style=\"font-weight: bold\">This is not a pure research role.</span><span style=\"color: rgb(81, 82, 87)\"> We care about people who can move from data and hypotheses to shipped systems and business impact.</span></span></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt; font-weight: bold\"><br>All you need is:</span></p>\n<ul>\n<li><span style=\"color: rgb(81, 82, 87); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Strong foundations in machine learning, statistics, computer science, or a similar quantitative discipline;</span></li>\n<li><span style=\"color: rgb(81, 82, 87); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Experience building and shipping ML systems or intelligent product features in production or near-production environments;</span></li>\n<li><span style=\"color: rgb(81, 82, 87); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Strong Python skills and comfort working across data, modelling, evaluation, and production collaboration;</span></li>\n<li><span style=\"color: rgb(81, 82, 87); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Good understanding of experimentation, model evaluation, feature engineering, data quality, and error analysis;</span></li>\n<li><span style=\"color: rgb(81, 82, 87); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Clear communication and the ability to work through messy, ambiguous product problems;</span></li>\n<li><span style=\"color: rgb(81, 82, 87); font-family: arial, helvetica, sans-serif; font-size: 12pt\">High ownership, self-direction, and a strong bias toward action;</span></li>\n<li><span style=\"color: rgb(81, 82, 87); font-family: arial, helvetica, sans-serif; font-size: 12pt\">5+ years building and shipping ML systems or intelligent product features in production;</span></li>\n<li><span style=\"color: rgb(81, 82, 87); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Strong understanding of model evaluation, cross-validation, feature engineering, and data quality challenges in real-world environments;</span></li>\n<li><span style=\"color: rgb(81, 82, 87); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Experience working with large-scale behavioural, transactional, or contextual data;</span></li>\n<li><span style=\"color: rgb(81, 82, 87); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Strong software engineering habits, including writing clean, testable, maintainable Python code.</span></li>\n</ul>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt; font-weight: bold\"><br>What would be an advantage:</span></p>\n<ul>\n<li><span style=\"color: rgb(81, 82, 87); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Experience with recommendation systems, ranking, search, personalisation, or marketplace/feed optimisation;</span></li>\n<li><span style=\"color: rgb(81, 82, 87); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Experience with LLM applications, RAG, GenAI agents, prompt iteration, or evaluation of GenAI systems;</span></li>\n<li><span style=\"color: rgb(81, 82, 87); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Experience running A/B tests or online experiments;</span></li>\n<li><span style=\"color: rgb(81, 82, 87); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Experience working closely with product teams and translating user problems into ML solutions;</span></li>\n<li><span style=\"color: rgb(81, 82, 87); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Experience with real-time ML, streaming features, low-latency inference, or online learning;</span></li>\n<li><span style=\"color: rgb(81, 82, 87); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Experience with causal inference, uplift modelling, multi-armed bandits, or other decision-optimisation methods;</span></li>\n<li><span style=\"color: rgb(81, 82, 87); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Familiarity with cloud ML infrastructure, containerised deployment, and MLOps workflows;</span></li>\n<li><span style=\"color: rgb(81, 82, 87); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Experience in iGaming, fintech, e-commerce, or another domain with large-scale transactional and behavioural data;</span></li>\n<li><span style=\"color: rgb(81, 82, 87); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Experience with predictive analytics use cases such as segmentation, churn prevention, LTV modelling, or opportunity prioritisation.</span></li>\n</ul>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt; font-weight: bold\"><br>Your daily adventures will look like:</span></p>\n<ul>\n<li><span style=\"color: rgb(81, 82, 87); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Design, build, and improve ML systems for recommendations, ranking, personalisation, retrieval, and GenAI workflows;</span></li>\n<li><span style=\"color: rgb(81, 82, 87); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Turn product goals into concrete ML problems, evaluation plans, experiments, and shipped features;</span></li>\n<li><span style=\"color: rgb(81, 82, 87); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Work with behavioural, transactional, contextual, and unstructured data to identify signals and improve model quality;</span></li>\n<li><span style=\"color: rgb(81, 82, 87); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Build offline evaluation frameworks and online experiments to measure relevance, quality, latency, cost, and business impact;</span></li>\n<li><span style=\"color: rgb(81, 82, 87); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Improve GenAI agent behaviour through better retrieval, context management, prompting, tool use, orchestration, and evaluation;</span></li>\n<li><span style=\"color: rgb(81, 82, 87); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Investigate failure modes, run error analysis, and make practical tradeoffs across quality, reliability, speed, and complexity;</span></li>\n<li><span style=\"color: rgb(81, 82, 87); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Partner closely with platform and backend engineers to deploy, monitor, and iterate on models in production;</span></li>\n<li><span style=\"color: rgb(81, 82, 87); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Help define how the company does ML: metrics, experimentation discipline, technical standards, and long-term direction;</span></li>\n<li><span style=\"color: rgb(81, 82, 87); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Work with real-time behavioural and transactional signals to improve recommendations, personalisation, and intelligent product behaviour;</span></li>\n<li><span style=\"color: rgb(81, 82, 87); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Contribute to predictive and insight-driven ML use cases such as segmentation, churn prediction, recommendation measurement, and opportunity ranking;</span></li>\n<li><span style=\"color: rgb(81, 82, 87); font-family: arial, helvetica, sans-serif; font-size: 12pt\">Write clean, testable Python and contribute reusable ML components and shared libraries used across the platform.</span></li>\n</ul>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt; font-weight: bold\"><br>What Success Looks Like in the First 6 Months:</span></p>\n<ul>\n<li><span style=\"color: rgb(81, 82, 87); font-family: arial, helvetica, sans-serif; font-size: 12pt\">You ship meaningful improvements to a recommendation, personalisation, or GenAI workflow used in production;</span></li>\n<li><span style=\"color: rgb(81, 82, 87); font-family: arial, helvetica, sans-serif; font-size: 12pt\">You establish a practical evaluation framework for one or more core ML systems;</span></li>\n<li><span style=\"color: rgb(81, 82, 87); font-family: arial, helvetica, sans-serif; font-size: 12pt\">You turn ambiguous product opportunities into clear experiments and sound technical decisions;</span></li>\n<li><span style=\"color: rgb(81, 82, 87); font-family: arial, helvetica, sans-serif; font-size: 12pt\">You improve at least one metric that matters, such as relevance, task completion, conversion, retention, latency, or cost efficiency;</span></li>\n<li><span style=\"color: rgb(81, 82, 87); font-family: arial, helvetica, sans-serif; font-size: 12pt\">You become a trusted owner who spots high-leverage ML opportunities and drives them forward without needing detailed instruction;</span></li>\n<li><span style=\"color: rgb(81, 82, 87); font-family: arial, helvetica, sans-serif; font-size: 12pt\">You help establish a repeatable approach to experimentation, model iteration, and production-quality ML development.</span></li>\n</ul>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt; font-weight: bold\"><br>And this is how our interview process goes:</span></p>\n<ul>\n<li><span style=\"color: rgb(81, 82, 87); font-family: arial, helvetica, sans-serif; font-size: 12pt\">A 30-minute interview with a member of our HR team to get to know you and your experience;</span></li>\n<li><span style=\"color: rgb(81, 82, 87); font-family: arial, helvetica, sans-serif; font-size: 12pt\">A 1-hour technical interview;</span></li>\n<li><span style=\"color: rgb(81, 82, 87); font-family: arial, helvetica, sans-serif; font-size: 12pt\">A final interview to gauge your fit with our culture and working style.</span></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt; font-weight: bold\">Sounds interesting? Do not hesitate to apply or contact us if you have any questions!</span></p>",
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