<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> <p><strong>Machine Learning Engineer / Analytics &amp; ML Lead (Deputy CTO‑level)</strong></p><p>📍 <strong>Zurich (Hybrid | Europe‑based required)</strong></p><p> 🧠 <strong>Senior IC + Technical Leadership Role</strong></p><p> ⏱ <strong>Start: Mid‑2026 (flexible for the right profile)</strong></p><p><br/></p><p>A fast‑growing <strong>European digital health company</strong> is hiring a <strong>senior Machine Learning Engineer</strong> to take <strong>end‑to‑end ownership of the ML / analytics function</strong> and act as the technical lead for this vertical.</p><p><br/></p><p>This role sits just below CTO level and combines <strong>deep hands‑on ML work</strong>, <strong>MLOps ownership</strong>, and <strong>technical leadership of a small distributed team</strong>. It is designed for someone with <strong>research‑grade ML thinking</strong>, strong experience taking models into production, and the ambition to own an entire technical domain rather than operate as a narrow IC.</p><p><br/></p><p>What you’ll do</p><ul><li>Own the <strong>full ML lifecycle</strong> from problem framing to production, monitoring, and iteration</li><li>Design and optimise <strong>real‑time / near‑real‑time ML systems</strong> under performance constraints</li><li>Define and enforce <strong>MLOps best practices</strong> for production‑grade ML</li><li>Act as technical lead for a small ML/analytics team across Europe and India</li><li>Partner closely with the CTO, enabling them to step back from day‑to‑day ML execution</li></ul><p><br/></p><p>What they’re looking for</p><ul><li>Strong experience owning <strong>production ML systems</strong>, not research‑only work</li><li>Deep understanding of ML <strong>first principles</strong>, experimentation, and trade‑offs</li><li>Comfort with <strong>time‑series / signal‑based data</strong> and messy, real‑world datasets</li><li>Hands‑on MLOps experience (tool‑agnostic, principle‑driven)</li><li>Experience mentoring or technically leading others</li><li>Europe‑based, with ability to work regularly from Zurich</li><li> <em>(PhD is a strong signal but not mandatory; leadership mindset and ownership are.)</em></li></ul><p><br/></p><p>Why this role stands out</p><ul><li>Deputy‑CTO‑level scope with <strong>real autonomy</strong></li><li>Full ownership of ML/analytics strategy and execution</li><li>Small, high‑impact team - not a bureaucracy</li><li>Meaningful technical problems in a regulated, real‑world environment</li><li>Clear long‑term trajectory for technical leadership</li></ul><p></p> </div>