Machine Learning Manager - Applied ML (UK/EU) at Cohere

London, England, United Kingdom

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, TechnologyIndustries

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

Responsibilities

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

Skills

Key technologies and capabilities for this role

Machine LearningAIRAGAgentsReasoningCode GenerationSemantic SearchProduction SystemsML EngineeringTeam Leadership

Questions & Answers

Common questions about this position

Is this role remote or onsite?

This is an onsite position.

What is the salary range for this Machine Learning Manager role?

This information is not specified in the job description.

What key skills and experience are required for this position?

The role requires 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.

What is the company culture like at Cohere?

Cohere obsesses over what they build, works hard and moves fast for customers, and fosters a team of top experts passionate about their craft with a diverse range of perspectives.

What makes a strong candidate for this Machine Learning Manager role?

A strong candidate has deep AI/ML expertise, experience leading and growing high-performing ML engineering teams through hiring, coaching, and mentorship, and skills in strategic leadership and customer collaboration.

Cohere

Provides NLP tools and LLMs via API

About Cohere

Cohere provides advanced Natural Language Processing (NLP) tools and Large Language Models (LLMs) through a user-friendly API. Their services cater to a wide range of clients, including businesses that want to improve their content generation, summarization, and search functions. Cohere's business model focuses on offering scalable and affordable generative AI tools, generating revenue by granting API access to pre-trained models that can handle tasks like text classification, sentiment analysis, and semantic search in multiple languages. The platform is customizable, enabling businesses to create smarter and faster solutions. With multilingual support, Cohere effectively addresses language barriers, making it suitable for international use.

Toronto, CanadaHeadquarters

2019Year Founded

$914.4MTotal Funding

SERIES_DCompany Stage

AI & Machine LearningIndustries

501-1,000Employees

Risks

Competitors like Google and Microsoft may overshadow Cohere with seamless enterprise system integration.

Reliance on Nvidia chips poses risks if supply chain issues arise or strategic focus shifts.

High cost of AI data center could strain financial resources if government funding is delayed.

Differentiation

Cohere's North platform outperforms Microsoft Copilot and Google Vertex AI in enterprise functions.

Rerank 3.5 model processes queries in over 100 languages, enhancing multilingual search capabilities.

Command R7B model excels in RAG, math, and coding, outperforming competitors like Google's Gemma.

Upsides

Cohere's AI data center project positions it as a key player in Canadian AI.

North platform offers secure AI deployment for regulated industries, enhancing privacy-focused enterprise solutions.

Cohere's multilingual support breaks language barriers, expanding its global market reach.

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