Cohere

Machine Learning Manager – Applied ML

Cohere

full-time

Posted on:

Origin:  • 🇬🇧 United Kingdom

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Job Level

SeniorLead

Tech Stack

AWSAzureCloudGoogle Cloud PlatformPyTorchTensorflow

About the role

  • Define and drive the long-term vision for the Applied ML team in alignment with Cohere’s product and business goals
  • Shape the roadmap for custom model development, fine-tuning, and advanced implementations that address nuanced enterprise challenges
  • Collaborate closely with executive leadership to prioritize high-impact initiatives and strategic customer engagements
  • Lead and grow a high-performing team of ML engineers through hiring, coaching, and mentorship
  • Foster a culture of ownership, innovation, and continuous learning and establish/evolve team processes to maximize productivity and execution speed
  • Partner with Product to define and deliver novel, scalable ML solutions that differentiate Cohere in the market
  • Guide the development of reusable frameworks and abstractions that streamline deployment across customer use cases
  • Oversee performance optimization and evaluation of models in real-world enterprise environments
  • Act as a trusted technical advisor to strategic customers—translating needs into actionable plans
  • Lead delivery efforts from prototyping through to production deployment on customer infrastructure

Requirements

  • Bachelor’s degree in Computer Science, Machine Learning, or a related field (Master’s or PhD preferred)
  • 8+ years in AI/ML, including several years in technical leadership roles
  • Proven success leading large ML teams and delivering complex AI solutions at scale
  • Experience with enterprise deployments, including custom model development and fine-tuning
  • Deep understanding of LLMs, their training, deployment, and real-world constraints
  • Hands-on experience with RAG pipelines, agentic systems, and multi-modal applications
  • Proficiency in ML frameworks such as PyTorch or TensorFlow
  • Familiarity with modern cloud platforms (AWS, GCP, Azure) and ML infrastructure best practices
  • Strong ability to translate business requirements into scalable ML solutions
  • Track record of product thinking and technical decision-making aligned with customer needs
  • Exceptional communicator, capable of aligning technical execution with business goals
  • Experienced mentor who inspires excellence, collaboration, and growth in technical teams