Machine Learning Engineer
with a passion for innovation and a deep curiosity about tackling tough challenges. In this role, you will develop advanced statistical models to optimise complex experimental designs, leveraging cutting-edge techniques to create impactful solutions. You’ll collaborate closely with clients and cross-functional teams to tailor these models to diverse industries, ensuring they address specific needs and opportunities. By diving deep into sector-specific problems, you’ll drive innovation and champion creative solutions that make a real difference. As a founding team member, you will play a pivotal role in shaping the company’s culture, best practices, and strategic direction, leaving a lasting mark on this groundbreaking organisation. This is your chance to leave a lasting mark on a groundbreaking organisation while growing alongside the company. What We’re Looking For Advanced understanding of Bayesian methods, probabilistic modelling, and machine learning techniques. Hands-on experience with probabilistic programming frameworks like Pyro, Stan, or JAX. Strong mathematical foundations, with expertise in applying them to real-world data challenges. A track record of research or industry experience in machine learning, deep learning, or related fields. (Bonus: Experience in experimental design optimisation, clinical research, or related areas is a plus.) What’s in It for You? Competitive salary £60,000 – £80,000 Flexible working arrangements: Hybrid approach Direct mentorship from industry leaders and opportunities to expand your expertise across various sectors. Be part of a dynamic, innovative startup culture where your ideas matter. Make a difference by contributing to cutting-edge technology with meaningful societal and humanitarian impact. If this sounds interesting, please apply and call Matthew MacAlpine at Cathcart Technology.
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