Machine Learning Engineer - Cutting-Edge Tech Startup
Machine Learning Engineer required to join a brand-new startup at the forefront of technology, innovation, and societal impact. Having recently secured long term funding, the team are getting to work in their mission to revolutionise research across industries like clinical trials, market research, manufacturing, and beyond. By leveraging state-of-the-art technologies, the company is driving smarter, faster, and more efficient experimentation-unlocking breakthroughs that save lives, promote sustainability, and redefine what's possible.
This is a chance to solve fascinating, real-world problems while contributing to meaningful change. You'll engage in diverse, challenging projects, from improving medical trials and reducing harm to patients and animals to optimising industrial processes and advancing sustainable practices. Every task you tackle will have a tangible impact on both the industry and society, making your work not only intellectually stimulating but also deeply rewarding.
The Role
We're looking for a talentedMachine Learning Engineerwith 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
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