Machine Learning Engineering Manager - MLOps/AI Platform (m/f/x) in City of London
Machine Learning Engineering Manager - MLOps/AI Platform (m/f/x)

Machine Learning Engineering Manager - MLOps/AI Platform (m/f/x) in City of London

City of London Full-Time 54000 - 84000 ÂŁ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead a team in developing cutting-edge AI platforms and support innovative research projects.
  • Company: Join Canva, a vibrant tech company redefining design experiences.
  • Benefits: Equity packages, flexible leave, inclusive parental leave, and wellness allowances.
  • Why this job: Make a real impact in AI while enjoying a fun and supportive work culture.
  • Qualifications: Experience in technical leadership, platform engineering, and machine learning systems.
  • Other info: Dynamic environment with opportunities for personal growth and global challenges.

The predicted salary is between 54000 - 84000 ÂŁ per year.

Join the team redefining how the world experiences design. We know job hunting can be a little time consuming and you’re probably keen to find out what’s on offer, so we’ll get straight to the point.

Where and how you can work:

The buzzing Canva London campus features several buildings around beautiful leafy Hoxton Square in Shoreditch. While our global headquarters is in Sydney, Australia, London is our HQ for Europe, with all kinds of teams based here, plus event spaces to gather our team and communities. You’ll experience a warm welcome from our Vibe team at front of house, amazing home cooked food from our Head Chef and a variety of workspaces to hang out with your team mates or get solo work done. That said, we trust our Canvanauts to choose the balance that empowers them and their team to achieve their goals and so you have choice in where and how you work.

What you’d be doing in this role:

  • Partner with AI research leadership to understand research roadmaps and proactively identify platform capabilities needed for upcoming initiatives.
  • Coordinate with platform capability teams (Inference, Evaluation, Dataset & Training) to ensure seamless researcher experience across the full ML lifecycle.
  • Owning and driving the delivery of large, cross-team, and cross-group initiatives and projects from ideation to completion, with autonomy and independence of decision making.
  • Coaching a team of 6+ engineers by providing regular, practical feedback and collaboratively help them reach their personal growth goals.
  • Owning the team’s development methodology and rituals such as sprint planning, stand-ups, retrospectives.
  • Collaborating with the Product Manager to understand and contribute to the roadmap.
  • Plan goals and define success metrics to ensure there is alignment between the company, group, and teams.
  • Champion a culture of knowledge sharing and communication across engineering and effectively advocate for ML engineering needs to stakeholders within Canva.
  • Run hiring and resourcing needs, including resourcing for the execution of the roadmap.

You’re probably a match if:

  • You have a history of success in technical people leadership and mentorship of engineers.
  • You have the ability to work effectively across timezones (particularly EU/AU coordination) and bring excellent written and verbal communication skills.
  • You have experience of platform engineering, designing and building complex, distributed systems involving Machine Learning.
  • You have worked with our tech stack: Python, Pytorch, Ray/Anyscale, AWS, Kubernetes, Bazel, vLLM, W&Bs, Argo Workflows, Terraform.
  • You can showcase first principles thinking - use deep understanding of a problem space to make informed decisions.
  • You bring a deep passion for platform engineering & empowering engineering to create business value.
  • You have excellent problem‑solving skills, with the ability to break large projects down into smaller ones and deliver on them through others.
  • You have proven expertise in inspiring others to achieve their full potential and enable the engineers within your team to do novel, impactful work.
  • You are a continuous learner attitude who relishes global‑scale challenges and solutions.

About the team:

Canva's AI Platform Group serves as the foundation for AI innovation across the company, supporting MLEs and researchers from our CORE group (Canva Original Research & Exploration) and wider across all of Canva. The AI Enablement teams provide critical hands‑on support to researchers and AI builders globally, helping them navigate platform capabilities, optimise workflows, and accelerate from experimentation to production. These teams bridge the gap between cutting‑edge research needs and platform capabilities, currently supporting initiatives like Project Celestial, Turkey, and the buddy programme for researcher onboarding, whilst ensuring coverage across our global research centres.

We’re seeking an engineering manager who can navigate the unique challenges of supporting research teams whilst maintaining platform excellence. You’ll lead a team that operates at the intersection of cutting‑edge AI research and production systems, requiring both technical depth in ML/data systems and the ability to balance reactive support with proactive platform development. This role requires someone who thrives in ambiguity, can context‑switch between urgent researcher needs and long‑term platform strategy, and has the diplomatic skills to manage stakeholder expectations across multiple research teams with competing priorities.

What’s in it for you?

Achieving our crazy big goals motivates us to work hard - and we do - but you’ll experience lots of moments of magic, connectivity and fun woven throughout life at Canva, too. We also offer a range of benefits to set you up for every success in and outside of work. Here’s a taste of what’s on offer:

  • Equity packages - we want our success to be yours too.
  • Inclusive parental leave policy that supports all parents & carers.
  • An annual Vibe & Thrive allowance to support your wellbeing, social connection, office setup & more.
  • Flexible leave options that empower you to be a force for good, take time to recharge and supports you personally.

Other stuff to know:

We make hiring decisions based on your experience, skills and passion, as well as how you can enhance Canva and our culture. When you apply, please tell us the pronouns you use and any reasonable adjustments you may need during the interview process. We celebrate all types of skills and backgrounds at Canva so even if you don’t feel like your skills quite match what’s listed above - we still want to hear from you! Please note that interviews are conducted virtually.

Machine Learning Engineering Manager - MLOps/AI Platform (m/f/x) in City of London employer: black.ai

Canva is an exceptional employer that fosters a vibrant and inclusive work culture in the heart of Shoreditch, London. With a strong emphasis on employee growth, our team members enjoy flexible working arrangements, comprehensive benefits including equity packages and parental leave, and a supportive environment that encourages innovation and collaboration. Join us to be part of a dynamic team where your contributions are valued, and you can thrive both personally and professionally.
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Contact Detail:

black.ai Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Machine Learning Engineering Manager - MLOps/AI Platform (m/f/x) in City of London

✨Tip Number 1

Network like a pro! Reach out to people in your field on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.

✨Tip Number 2

Prepare for those interviews! Research the company and its culture, especially Canva's unique vibe. Tailor your answers to show how you fit into their world.

✨Tip Number 3

Show off your skills! If you’ve got a portfolio or projects that highlight your expertise in machine learning or platform engineering, make sure to share them during your discussions.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.

We think you need these skills to ace Machine Learning Engineering Manager - MLOps/AI Platform (m/f/x) in City of London

Technical People Leadership
Mentorship
Cross-Team Collaboration
Project Management
Machine Learning
Platform Engineering
Distributed Systems Design
Python
Pytorch
AWS
Kubernetes
Terraform
Problem-Solving Skills
Communication Skills
First Principles Thinking
Continuous Learning

Some tips for your application 🫡

Be Yourself: When you're writing your application, let your personality shine through! We want to get to know the real you, so don’t be afraid to show your passion for machine learning and engineering.

Tailor Your Application: Make sure to customise your application to highlight how your experience aligns with the role. Mention specific projects or technologies you've worked with that relate to our tech stack like Python, Pytorch, or AWS.

Showcase Your Leadership Skills: As a Machine Learning Engineering Manager, we’re keen on your leadership experience. Share examples of how you've mentored engineers or led teams to success in previous roles.

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity!

How to prepare for a job interview at black.ai

✨Know Your Tech Stack

Make sure you’re well-versed in the tech stack mentioned in the job description, especially Python, Pytorch, and AWS. Brush up on your knowledge of distributed systems and machine learning concepts, as you might be asked to discuss how you've applied these technologies in past projects.

✨Showcase Leadership Skills

Prepare examples that highlight your experience in mentoring and leading teams. Think about specific instances where you’ve inspired engineers or helped them achieve their goals. This role is all about people leadership, so demonstrating your coaching style will be key.

✨Understand the Company Culture

Familiarise yourself with Canva’s culture and values. They appreciate bold decisions and a continuous learning attitude. Be ready to discuss how you align with their mission and how you can contribute to their unique environment.

✨Prepare for Scenario Questions

Expect questions that assess your problem-solving skills and ability to navigate ambiguity. Think of scenarios where you had to balance urgent needs with long-term strategy. Practising how you would approach these situations can help you articulate your thought process clearly during the interview.

Machine Learning Engineering Manager - MLOps/AI Platform (m/f/x) in City of London
black.ai
Location: City of London

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  • Machine Learning Engineering Manager - MLOps/AI Platform (m/f/x) in City of London

    City of London
    Full-Time
    54000 - 84000 ÂŁ / year (est.)
  • B

    black.ai

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