AI/ML and MLOps Field Engineer

Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world’s leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1000+ colleagues in 70+ countries and very few roles based in offices. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.

The company is founder led, profitable and growing.

We are hiring an AI/ML and MLOps Field Engineer to help global companies embrace AI in their business, using the latest open source capabilities on public and private cloud infrastructure, Linux and Kubernetes. Our team applies expert insights to real-world customer problems, enabling the enterprise adoption of Ubuntu, Kubeflow, MLFlow, Feast, DVC and related analytics, machine learning and data technologies. We are working to create the world’s best open source data platform, covering traditional SQL databases and today’s NoSQL data stores, as well as the machinery which turns data into insights and executable models.

The people who love this role are software engineers who enjoy customer conversations and solving customer problems during the presales cycle. They are are developers who like to solve customer problems through architecture, presentations and training. Ubuntu is used by pretty much every enterprise in the world, in every industry. This is a fantastic opportunity to learn about the open source technology landscape and develop your business technology insights. You will see first hand in various industries how Linux – and Ubuntu in particular – is shaping innovation and changing the world for the better.

This role is particularly suited to candidates with a technical background who are business minded and driven by commercial success. This role is on our global Field Engineering team and will work closely with enterprise sales leads. We are specifically looking for people interested in solving the most difficult problems in modern data architectures. Training LLMs on multiple K8s clusters deployed on a hybrid cloud infrastructure with GPU sharing across multiple teams? Processing 10M events in real time for financial transactions? Object detection on 10k parallel 4K video streams? These are the problems we solve day to day.

Location: Most of our colleagues work from home. We are growing teams in EMEA, Americas and APAC time zones, so can accommodate candidates from almost any country.

About Canonical
Canonical is a pioneering tech firm 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 of software. 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. Most colleagues at Canonical have worked from home since its inception in 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.

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.

Job Responsibilities
The global Field Engineering team members are Linux and cloud solutions architects for our customers, designing private and public cloud solutions fitting their workload needs. They are the cloud consultants who work hands-on with the technologies by deploying, testing and handing over the solution to our support or managed services team at the end of a project. They are also software engineers who use Python to develop Kubernetes operators and Linux open source infrastructure-as-code.

Work across the entire Linux stack, from kernel, networking, storage, to applications
Architect cloud infrastructure solutions like Kubernetes, Kubeflow, OpenStack, and Spark
Deliver solutions either on-premise or in public cloud (AWS, Azure, Google Cloud)
Collect customer business requirements and advise them on Ubuntu and relevant open source applications
Grow a healthy, collaborative engineering culture in line with the company values
Deliver presentations and demonstrations of Ubuntu Pro and AI/ML capabilities to prospective and current clients
Liaise with product teams to give them feedback on requirements to influence roadmap
Work collaboratively with your sales team to reach our common targets
Global travel up to 25% of time for internal and external events and 25% to customer meetings
Job Requirements
Exceptional academic track record from both high school and university
Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path
Experience in data engineering, MLOps, or big data solutions deployment
Experience with a relevant programming language, like Python, R, or Rust.
Confidence to respectfully speak up, exchange feedback, and share ideas without hesitation
Track record of going above-and-beyond expectations to achieve outstanding results
Demonstrated personal interest in continuous learning and development
Practical knowledge of Linux, virtualisation, containers and networking
Business-minded technology thinker and problem solver
Knowledge of cloud computing concepts & leaders, such as Kubernetes, AWS, Azure, GCP
Interest in large-scale enterprise open source – private clouds, machine learning and AI, data and analytics
Intermediate level Python programming skills
Passion for technology evidenced by personal projects and initiatives
The work ethic and confidence to shine alongside motivated colleagues
Professional written and spoken English with excellent presentation skills
Experience with Linux (Debian or Ubuntu preferred)
Excellent interpersonal skills, curiosity, flexibility, and accountability
A dynamic person who loves to jump in new projects and interact with people
Appreciative of diversity, polite and effective in a multi-cultural, multi-national organisation
Thoughtfulness and self-motivation
Result-oriented, with a personal drive to follow up and meet commitments
Ability to travel internationally, for company events up to two weeks long, and customer or industry meetings
What you’ll learn
Architect and deploy AI/ML infrastructures, data processing pipelines and multi-cluster distributed training
Wide range of open source applications and skills
Work directly with customers in a range of different businesses
Real-life and hands-on exposure to a wide range of emerging technologies and tools
Employee Benefits
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 or commission. 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
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
Priority Pass, and travel upgrades for long haul company events