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Senior ML Engineer — recommendations
Spotify
Este anuncio está pensado para talento nativo en IA : habilidades y herramientas claras para saber si encajas antes de aplicar — y para reducir descartes por desajuste.
3 habilidades 1 herramienta
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Modalidad Hybrid
Ubicación 4 Savoy Place, London, England WC2N 6EU, United Kingdom · Hybrid
Compensación £105k–£140k + equity Nivel de experiencia Beneficios Premium, parental leave, hybrid London. Cómo aplicar One recommendation or causal experiment with business metrics.
Publicada 3 jul 2026
Actualizada 8 jul 2026 Spotify is hiring a Senior Senior ML Engineer — recommendations on the Personalization team (Hybrid · London, United Kingdom). This is a hands-on role in LLM & generative AI —not a generic “AI enthusiast” post.
You will own LLM features, retrieval, agents, and evaluation end to end: problem framing, offline evaluation, safe rollout, and iteration from production signals. Success is measured with clear metrics (quality, latency, cost, or business KPIs)—not slide decks alone.
Spotify personalises listening for hundreds of millions of users. London ML teams work on recommendations, embeddings, and GenAI-assisted discovery.
Senior ML Engineer role: sequential models, causal inference for experiments, and platform integration at scale.
What you will do
Deliver production-grade recommendation and personalization ML with measurable quality, latency, and cost targets. Build offline evals and online monitoring before scaling to full traffic. Collaborate with product, design, legal, or domain experts on safe rollout. Write clear RFCs, runbooks, and postmortems for cross-team learning. What we look for
Multiple shipped ML/LLM features—not coursework-only portfolios. Strong Python, SQL, and experimentation discipline. Clear communication for remote or hybrid stakeholders. Work authorization for the listed country. Python
Production Python for data pipelines, model code, APIs, and automated tests—not notebook-only workflows.
PyTorch
Training and inference with PyTorch: reproducible experiments, checkpointing, and deployment-minded exports.
SQL
Analytical SQL for features, cohorts, label quality, and experiment analysis at scale.
✓ You can show evidence in your application: One recommendation or causal experiment with business metrics. ✓ Several of these show up in recent shipped work—not only on your CV: Python, PyTorch, SQL, and Spark. ✓ You have owned LLM features, retrieval, agents, and evaluation in production: debugging live issues, running postmortems, and iterating from real user or business signals. ✓ You are comfortable with the hybrid rhythm (Hybrid · London, United Kingdom)—onsite collaboration when it matters, deep work when remote. ✓ You explain trade-offs (quality, cost, latency, safety) in plain language—with numbers or examples, not buzzwords. ✓ You read the full listing (comp: £105k–£140k + equity, benefits in At a glance) and your expectations align. Lo que pide la empresa
One recommendation or causal experiment with business metrics.
Inicia sesión con cuenta candidato para aplicar
Regístrate, añade titular y bio; luego podrás adjuntar enlace o PDF de CV en Mi cuenta antes de aplicar. Así las candidaturas quedan ligadas a tu perfil.
Sugerencias
Talento IA que podría interesarte Perfiles ordenados por solape con habilidades y herramientas de este rol — útil si contratas equipo o comparas candidatos.
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Título
Senior ML Engineer — recommendations
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