Engineering Manager - MLOps & Analytics

Canonical

Manchester, United Kingdom

3 months ago

Applications closed

Related Jobs

View all jobs

Spotlight

Forward Deployed Engineer

SolveAI London, United Kingdom

Hybrid

Engineering Manager

Quantexa London, United Kingdom

Hybrid

Engineering Manager

Thought Machine Lisbon, Portugal

On-site

Engineering Manager

Thought Machine London, United Kingdom

Hybrid

Engineering Manager, Cooperative Systems

OpenAI United Kingdom

Hybrid

Engineering Manager (Avatars)

Synthesia London, United Kingdom

Remote

Engineering Manager (Growth)

Synthesia London, United Kingdom

Remote

Posted: 11 Feb 2026 (3 months ago)

Save job

Create job alert

Applications closed

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

3 days ago Be among the first 25 applicants

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

Get AI-powered advice on this job and more exclusive features.

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

The following skills may be helpful to you in the role, but we don't expect everyone to bring all of them.

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

We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. 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 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.

Seniority level

Seniority levelMid-Senior level

Employment type

Employment typeFull-time

Job function

Job functionEngineering and Information Technology
IndustriesSoftware Development

Referrals increase your chances of interviewing at Canonical by 2x

Manchester, England, United Kingdom 3 days ago

Manchester, England, United Kingdom 4 months ago

Manchester, England, United Kingdom 2 weeks ago

Software Engineering Manager - Sustaining Engineering

Manchester, England, United Kingdom 3 days ago

Project Director – Engineering - North West England – Retained – Confidential

Manchester Area, United Kingdom 2 weeks ago

Manchester, England, United Kingdom 3 days ago

Manchester, England, United Kingdom 1 month ago

Manchester, England, United Kingdom 4 months ago

Manchester, England, United Kingdom 2 months ago

Manchester, England, United Kingdom 3 months ago

Software Engineering Manager - Cross-platform C++ - Multipass

Manchester, England, United Kingdom 3 days ago

Manchester, England, United Kingdom 3 weeks ago

Technical Manager - Automotive and Industrial

Manchester, England, United Kingdom 9 months ago

Manchester, England, United Kingdom 3 days ago

Engineering Manager - Public Cloud, Python, Golang

Manchester, England, United Kingdom 2 months ago

Manchester, England, United Kingdom 4 months ago

Engineering Manager - Build and Release Infrastructure

Manchester, England, United Kingdom 3 days ago

Software Engineering Manager, Ubuntu Gaming

Manchester, England, United Kingdom 1 month ago

Engineering Manager - Build and Release Infrastructure

Manchester, England, United Kingdom 1 month ago

Manchester, England, United Kingdom 3 months ago

Software Platform Engineering Manager - Ubuntu for Next-Gen Silicon

Manchester, England, United Kingdom 3 months ago

Software Engineering Manager - Desktop and Embedded Linux Optimisation

Manchester, England, United Kingdom 6 months ago

Manchester, England, United Kingdom 3 days ago

Manchester, England, United Kingdom 1 month ago

Linux Engineering Manager - Optimisation for Latest Hardware

Manchester, England, United Kingdom 6 months ago

Software Engineering Manager - Ubuntu Linux Kernel

Manchester, England, United Kingdom 1 week ago

Manchester, England, United Kingdom 3 days ago

Engineering Manager for IAM (Identity and Access Management)

Manchester, England, United Kingdom 2 weeks ago

Engineering Manager - Security Standards and Hardening

Manchester, England, United Kingdom 3 days ago

Ubuntu Enablement - Software Engineering Manager

Manchester, England, United Kingdom 1 month ago

Manchester, England, United Kingdom 3 days ago

Salesforce Engineering Manager, Commercial Systems

Manchester, England, United Kingdom 3 days ago

Systems Integrations Engineering Manager

Manchester, England, United Kingdom 3 days ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

#J-18808-Ljbffr

Industry Insights

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

May 14, 2026

Jobs

Security Clearance AI Jobs UK: Your Complete Guide to Cleared Roles in Artificial Intelligence

Security Clearance AI Jobs UK 2026: salaries, SC and DV clearance routes, top employers and how to land cleared AI, ML and data science roles in the UK.

Apr 8, 2026

Products

Where to Advertise AI Jobs in the UK (2026 Guide)

Where to advertise AI jobs UK in 2026: the specialist boards and communities that reach AI engineers, ML scientists and applied research talent in the UK. The candidate pool is small, highly informed and in demand across multiple sectors simultaneously. General job boards reach a broad audience but lack the specificity that AI professionals expect — and the filtering mechanisms they rely on. Specialist platforms, direct outreach and academic channels each serve a different part of the market. This guide, published by ArtificialIntelligenceJobs.co.uk, covers where to advertise AI roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about time-to-hire across different role types.

Apr 5, 2026

Jobs

AI Jobs UK 2026: What to Expect Over the Next 3 Years

AI Jobs UK 2026: roles, salaries and the generative AI, machine learning and applied AI hiring trends shaping UK artificial intelligence careers. Artificial intelligence is creating jobs faster than the market can name them. New roles are appearing every quarter, existing titles are splitting into specialisms, and the technologies underpinning it all are evolving at a pace that makes even last year's job descriptions feel dated. For job seekers, this presents a genuinely unusual challenge. In most industries, career planning means understanding a relatively stable landscape and working out where you fit within it. In AI, the landscape itself is being redrawn in real time. The roles with the most hiring activity in 2028 may not yet have a widely agreed job title in 2026. That's not a reason to feel overwhelmed — it's a reason to get informed. The candidates who thrive in this market aren't necessarily those with the longest CVs or the most credentials. They're the ones who understand the direction of travel: which skills are gaining value, which technologies are driving employer decisions, and how the definition of an "AI job" is expanding well beyond the tech sector. This article breaks down what the UK AI jobs market is likely to look like over the next three years — covering emerging job titles, the technologies reshaping hiring, the skills employers are prioritising, and how to position yourself ahead of the curve rather than behind it.