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For Companies At a Glance
- Tasks: Lead a team to create cutting-edge AI solutions for enterprise customers.
- Company: Cohere, a leader in AI innovation with a mission to serve humanity.
- Benefits: Inclusive culture, health benefits, remote flexibility, and generous vacation time.
- Why this job: Shape the future of AI while solving real-world challenges.
- Qualifications: 8+ years in AI/ML with leadership experience and strong technical skills.
- Other info: Join a diverse team passionate about making an impact in AI.
The predicted salary is between 43200 - 72000 £ per year.
Overview
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.
Team Management
- 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.
Product & Technical Innovation
- 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.
Customer Engagement
- 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.
Ideal Candidate Profile
Experience
- 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.
Technical Expertise
- 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.
Strategic & Business Acumen
- Strong ability to translate business requirements into scalable ML solutions.
- Track record of product thinking and technical decision-making aligned with customer needs.
Communication & Leadership
- Exceptional communicator, capable of aligning technical execution with business goals.
- Experienced mentor who inspires excellence, collaboration, and growth in technical teams.
If some of the above doesn\’t line up perfectly with your experience, we still encourage you to apply! If you want to work really hard on a glorious mission with teammates that want the same thing, Cohere is the place for you.
We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.
Benefits
Full-Time Employees at Cohere enjoy these Perks:
- An open and inclusive culture and work environment
- Work closely with a team on the cutting edge of AI research
- Weekly lunch stipend, in-office lunches & snacks
- Full health and dental benefits, including a separate budget to take care of your mental health
- 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK
- Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
- Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend
- 6 weeks of vacation
Note: This post is co-authored by both Cohere humans and Cohere technology.
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Machine Learning Manager - Applied ML (UK/EU) employer: Cohere
Contact Detail:
Cohere Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Manager - Applied ML (UK/EU)
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and ML space. Attend meetups, webinars, or even online forums. You never know who might have a lead on that perfect Machine Learning Manager role!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to applied ML. This is your chance to demonstrate your expertise and make a lasting impression on potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common ML scenarios and case studies. Practice explaining complex concepts in simple terms—this will help you connect with interviewers and show your leadership potential.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for passionate individuals who want to make an impact in the AI field. Your next big opportunity could be just a click away!
We think you need these skills to ace Machine Learning Manager - Applied ML (UK/EU)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Machine Learning Manager role. Highlight your leadership experience and technical expertise in AI/ML, as we want to see how you can contribute to our mission.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about AI and how your background makes you a perfect fit for our team. Be genuine and let your personality come through!
Showcase Your Projects: If you've worked on any relevant projects, make sure to include them in your application. We love seeing real-world applications of your skills, especially those that demonstrate your ability to solve complex problems.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're serious about joining our team at Cohere!
How to prepare for a job interview at Cohere
✨Know Your Stuff
Make sure you brush up on the latest trends in AI and machine learning, especially around LLMs and RAG pipelines. Be ready to discuss your hands-on experience with frameworks like PyTorch or TensorFlow, as well as any enterprise deployments you've been involved in.
✨Showcase Leadership Skills
As a Machine Learning Manager, you'll need to demonstrate your ability to lead and mentor teams. Prepare examples of how you've successfully managed high-performing teams and fostered a culture of innovation and continuous learning.
✨Align with Business Goals
Cohere is all about solving real problems for enterprise customers. Be prepared to discuss how you've translated business requirements into scalable ML solutions in the past. Highlight your strategic thinking and how it aligns with customer needs.
✨Engage with Confidence
During the interview, act as a trusted technical advisor. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical stakeholders. Show that you can bridge the gap between technical execution and business objectives.