Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Engineering Manager - MLOps & Analytics

Canonical
Edinburgh
1 week ago
Create job alert
Overview

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

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
Responsibilities
  • Lead and develop a distributed engineering team focused on MLOps and analytics
  • Collaborate with other Engineering Managers, product managers, and architects to produce an engineering roadmap with ambitious and achievable goals
  • Contribute to code reviews and provide architectural leadership
  • Promote healthy engineering practices, documentation, quality, and performance optimization
Qualifications
  • A proven track record of professional software delivery
  • Professional Python development experience, preferably with a track record in open source
  • Understanding of the machine learning space, its challenges and opportunities
  • Experience designing and implementing MLOps solutions
  • An exceptional academic track record from high school and preferably university
  • Willingness to travel up to 4 times a year for internal events
Additional skills

The following skills may be helpful, but we don't expect everyone to have all of them:

  • Hands-on experience with machine learning libraries or tools
  • Experience building highly automated machine learning solutions for the cloud
  • Experience building machine learning models
  • Experience with container technologies (Docker, LXD, Kubernetes, etc.)
  • Experience with public clouds (AWS, Azure, Google Cloud)
  • Experience in the Linux/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 or community contributions
  • Demonstrated track record of Open Source contributions
What we offer you

We consider geographical location, experience, and performance in shaping compensation worldwide. In addition to base pay, we offer a performance-driven annual bonus and additional benefits reflecting our values. We balance our programs to meet local needs and ensure fairness globally.

  • 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 at the forefront of open source. As the company that publishes Ubuntu, we are changing the world daily. We recruit on a global basis and set high standards for people joining the company.

Canonical has been remote-first since 2004. We challenge you to think differently, work smarter, and raise your game. We are an equal opportunity employer and value diversity.

Equal opportunity

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.

Seniority level
  • Mid-Senior level
Employment type
  • Full-time
Job function
  • Engineering and Information Technology
Industries
  • Software Development

Referrals increase your chances of interviewing at Canonical.


#J-18808-Ljbffr

Related Jobs

View all jobs

Engineering Manager – Electrical Systems

Engineering Manager – Electrical Systems

Engineering Manager – Electrical Systems

Engineering Manager – Electrical Systems

Engineering Manager – Electrical Systems

Engineering Manager – Electrical Systems

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

The Best Free Tools & Platforms to Practise AI Skills in 2025/26

Artificial Intelligence (AI) is one of the fastest-growing career fields in the UK and worldwide. Whether you are a student exploring AI for the first time, a graduate looking to build your portfolio, or an experienced professional upskilling for career growth, having access to free tools and platforms to practise AI skills can make a huge difference. In this comprehensive guide, we’ll explore the best free resources available in 2025, covering AI coding platforms, datasets, cloud tools, no-code AI platforms, online communities, and learning hubs. These tools allow you to practise everything from machine learning models and natural language processing (NLP) to computer vision, reinforcement learning, and large language model (LLM) fine-tuning—without needing a huge budget. By the end of this article, you’ll have a clear roadmap of where to start practising your AI skills for free, how to build real-world projects, and which platforms can help you land your next AI job.

Top 10 Skills in Artificial Intelligence According to LinkedIn & Indeed Job Postings

Artificial intelligence is no longer a niche field reserved for research labs or tech giants—it has become a cornerstone of business strategy across the UK. From finance and healthcare to manufacturing and retail, employers are rapidly expanding their AI teams and competing for talent. But here’s the challenge: AI is evolving so quickly that the skills in demand today may look different from those of just a few years ago. Whether you’re a graduate looking to enter the industry, a mid-career professional pivoting into AI, or an experienced engineer wanting to stay ahead, it’s essential to know what employers are actually asking for in their job ads. That’s where platforms like LinkedIn and Indeed provide valuable insight. By analysing thousands of job postings across the UK, they reveal the most frequently requested skills and emerging trends. This article distils those findings into the Top 10 AI skills employers are prioritising in 2025—and shows you how to present them effectively on your CV, in interviews, and in your portfolio.

Translucent Careers: Senior Artificial Intelligence Engineer in London

The global landscape of artificial intelligence is evolving rapidly, and nowhere is this transformation felt more strongly than in the financial and accounting industries. AI is no longer just a supporting technology; it is becoming the backbone of innovation, efficiency, and decision-making. One of the most exciting companies at the forefront of this movement is Translucent, a dynamic business redefining how accounting professionals work with AI-driven tools. For professionals seeking to combine technical excellence with meaningful industry impact, Translucent represents a rare career destination. At the heart of their current expansion is an opening for a Senior Artificial Intelligence Engineer in London. This role combines high-level technical leadership, hands-on development, and an opportunity to influence the direction of an emerging force in AI. In this article, we’ll explore: Who Translucent are and why they matter. The significance of AI in financial technology (fintech) and accounting. A deep dive into the Senior AI Engineer role. Skills and requirements needed for success. Career growth and opportunities at Translucent. How artificialintelligencejobs.co.uk helps professionals connect with transformative employers like Translucent.