Machine Learning Manager - Applied ML (UK/EU)

Join to apply for the Machine Learning Manager - Applied ML (UK/EU) role at Cohere

Machine Learning Manager - Applied ML (UK/EU)

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Join to apply for the Machine Learning Manager - Applied ML (UK/EU) role at Cohere

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Who are we?

Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.

Who are we?

Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.

We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.

Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.

Join us on our mission and shape the future!

Why Join Us?

At Cohere, we’re not building AI for novelty—we’re solving real, hard problems for enterprise customers. Join us if you’re excited about working at the intersection of frontier AI and practical impact.

We are looking for a Machine Learning Manager to help lead our Applied ML team in building and delivering cutting-edge AI solutions tailored for enterprise customers. This is a high-impact leadership role that combines strategic direction, technical oversight, and customer collaboration. You’ll manage a world-class team of ML engineers focused on building scalable, production-grade systems—working across modalities and domains such as reasoning, code, RAG, tools, and agents.

The ideal candidate brings deep expertise in AI/ML, a strong track record of building and mentoring high-performing teams, and the ability to turn complex technical capabilities into real business outcomes.

Key Responsibilities

Strategic Leadership

• 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.
• Establish and 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.
  
  

• 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.
  
  

Seniority level

• Seniority level

  Director

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Software Development

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