Engineering Manager - MLOps & Analytics
Engineering Manager - MLOps & Analytics

Engineering Manager - MLOps & Analytics

Glasgow Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead a remote team in MLOps and analytics, ensuring productivity and growth.
  • Company: Canonical is a pioneering tech firm driving the open-source revolution with Ubuntu.
  • Benefits: Enjoy remote work, annual bonuses, personal development budgets, and global travel opportunities.
  • Why this job: Join a culture of innovation, collaboration, and excellence in a rapidly evolving tech landscape.
  • Qualifications: Proven software delivery experience, Python expertise, and understanding of machine learning.
  • Other info: Work remotely with occasional travel; Canonical values diversity and equal opportunity.

The predicted salary is between 36000 - 60000 £ per year.

Join to apply for the Engineering Manager – MLOps & Analytics role at Canonical

The role of an Engineering Manager at Canonical

As an Engineering Manager at Canonical, you must be technically strong, but your main responsibility is to run an effective team and develop the colleagues you manage. You will develop and review code as a leader, while at the same time staying aware of that the best way to improve the product is to ensure that the whole team is focused, productive and unblocked.

You are expected to help them grow as engineers, do meaningful work, do it outstandingly well, find professional and personal satisfaction, and work well with colleagues and the community. You will also be expected to be a positive influence on culture, facilitate technical delivery, and regularly reflect with your team on strategy and execution.

You will collaborate closely with other Engineering Managers, product managers, and architects, producing an engineering roadmap with ambitious and achievable goals.

We expect Engineering Managers to be fluent in the programming language, architecture, and components that their team uses, in this case popular open-source machine learning tools like Kubeflow, MLFlow, and Feast.

Code reviews and architectural leadership are part of the job. The commitment to healthy engineering practices, documentation, quality and performance optimisation is as important, as is the requirement for fair and clear management, and the obligation to ensure a high-performing team.

Location: This is a Globally remote role.

What your day will look like

  • Manage a distributed team of engineers and its MLOps/Analytics portfolio
  • Organize and lead the team\’s processes in order to help it achieve its objectives
  • Conduct one-on-one meetings with team members
  • Identify and measure team health indicators
  • Interact with a vibrant community
  • Review code produced by other engineers
  • Attend conferences to represent Canonical and its MLOps solutions
  • Mentor and grow your direct reports, helping them achieve their professional goals
  • Work from home with global travel for 2 to 4 weeks per year for internal and external events

What we are looking for in you

  • A proven track record of professional experience of software delivery
  • Professional python development experience, preferably with a track record in open source
  • A proven understanding of the machine learning space, its challenges and opportunities to improve
  • Experience designing and implementing MLOps solutions
  • An exceptional academic track record from both high school and preferably university
  • Willingness to travel up to 4 times a year for internal events

Additional skills that you might also bring

  • Hands-on experience with machine learning libraries, or tools.
  • Proven track record of building highly automated machine learning solutions for the cloud.
  • Experience with building machine learning models
  • Experience with container technologies (Docker, LXD, Kubernetes, etc.)
  • Experience with public clouds (AWS, Azure, Google Cloud)
  • Experience in the Linux and open-source software world
  • Working knowledge of cloud computing
  • Passionate about software quality and testing
  • Experience working on a distributed team on an open source project — even if that is community open source contributions.
  • Demonstrated track record of Open Source contributions

What we offer you

  • Distributed work environment with twice-yearly team sprints in person – we\’ve been working remotely since 2004!
  • Personal learning and development budget of USD 2,000 per year
  • Annual compensation review
  • Recognition rewards
  • Annual holiday leave
  • Maternity and paternity leave
  • Employee Assistance Programme
  • Opportunity to travel to new locations to meet colleagues from your team and others
  • Priority Pass for travel and travel upgrades for long haul company events

About Canonical

Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence – in order to succeed, we need to be the best at what we do.

Canonical has been a remote-first company since its inception in 2004. Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business.

Canonical is an equal opportunity employer

We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

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Engineering Manager - MLOps & Analytics employer: Canonical

Canonical is an exceptional employer that champions a remote-first work culture, allowing you to thrive in a flexible environment while collaborating with a diverse global team. With a strong commitment to employee growth, we offer a generous personal learning and development budget, annual compensation reviews, and opportunities for international travel to foster connections and innovation. Join us to be part of a pioneering tech firm that values excellence, diversity, and meaningful contributions to the open-source community.
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Contact Detail:

Canonical Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Engineering Manager - MLOps & Analytics

✨Tip Number 1

Familiarise yourself with the latest trends in MLOps and analytics. Understanding tools like Kubeflow, MLFlow, and Feast will not only help you in interviews but also demonstrate your commitment to staying current in the field.

✨Tip Number 2

Network with current or former employees of Canonical. Engaging with them on platforms like LinkedIn can provide you with insider knowledge about the company culture and expectations, which can be invaluable during your application process.

✨Tip Number 3

Prepare to discuss your leadership style and how you've successfully managed distributed teams in the past. Highlighting specific examples of how you've facilitated team growth and productivity will resonate well with the hiring managers.

✨Tip Number 4

Showcase your contributions to open-source projects. If you've worked on relevant projects, be ready to discuss them in detail, as this aligns perfectly with Canonical's values and mission.

We think you need these skills to ace Engineering Manager - MLOps & Analytics

Leadership Skills
Technical Proficiency in Python
Experience with MLOps Solutions
Knowledge of Machine Learning Concepts
Code Review and Architectural Leadership
Strong Communication Skills
Team Management and Development
Familiarity with Open Source Tools (e.g., Kubeflow, MLFlow, Feast)
Experience with Cloud Technologies (AWS, Azure, Google Cloud)
Understanding of Container Technologies (Docker, Kubernetes)
Ability to Facilitate Technical Delivery
Commitment to Software Quality and Testing
Experience in a Distributed Team Environment
Strategic Thinking and Execution Planning

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience in software delivery, particularly with Python and MLOps solutions. Emphasise any open-source contributions and relevant projects that showcase your technical skills and leadership abilities.

Craft a Compelling Cover Letter: In your cover letter, express your passion for open-source technology and your understanding of the machine learning landscape. Discuss how your management style aligns with Canonical's values and how you can contribute to team culture and productivity.

Showcase Leadership Experience: Provide specific examples of how you've successfully managed teams in the past. Highlight your ability to mentor engineers, facilitate technical delivery, and improve team dynamics, as these are key aspects of the Engineering Manager role.

Demonstrate Technical Proficiency: Include details about your hands-on experience with machine learning libraries and cloud technologies. Mention any relevant certifications or training that demonstrate your commitment to continuous learning in the tech field.

How to prepare for a job interview at Canonical

✨Showcase Your Technical Expertise

As an Engineering Manager, it's crucial to demonstrate your technical strength. Be prepared to discuss your experience with programming languages, particularly Python, and any relevant MLOps tools like Kubeflow or MLFlow. Highlight specific projects where you've successfully implemented these technologies.

✨Emphasise Team Management Skills

Since the role focuses on running an effective team, be ready to share examples of how you've managed teams in the past. Discuss your approach to mentoring, conducting one-on-one meetings, and fostering a positive team culture. This will show that you can lead and develop your colleagues effectively.

✨Prepare for Code Review Scenarios

Expect to engage in discussions about code reviews during the interview. Brush up on best practices for reviewing code and be ready to explain how you ensure quality and performance optimisation in your team's work. This will demonstrate your commitment to healthy engineering practices.

✨Understand Canonical's Culture and Values

Research Canonical's mission and values, especially their commitment to open source and community engagement. Be prepared to discuss how your personal values align with theirs and how you can contribute positively to their culture. This will show that you're not just a fit for the role, but also for the company.

Engineering Manager - MLOps & Analytics
Canonical
Location: Glasgow
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  • Engineering Manager - MLOps & Analytics

    Glasgow
    Full-Time
    36000 - 60000 £ / year (est.)
  • C

    Canonical

    250-500
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