Golang Software Engineer, Developer Tooling and Containers

Canonical
London
9 months ago
Applications closed

Related Jobs

View all jobs

Junior Embedded Software Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

This is a highly unusual opportunity to work on a new open-source developer experience tool. We are rethinking typical developer workflows, trying to preserve what people love about traditional Linux while enabling people to work better in immutable distro environments, as well as with remote cloud resources. You'll join to work on a product that is deeply and securely integrated with Ubuntu desktop, modern IDEs, and SDKs from publishers like NVIDIA, Intel, AMD and others. Our ultimate goal is to free developers from the hours of tedious environment setup across multiple industry domains such as Robotics, MLOps, IoT. Come help us to make Ubuntu the greatest platform for software engineers!

The role implies a deep interest in crafting tools for software engineers. It requires taste in experience design, and will benefit from experience with professional Linux based software development, Linux system-level fundamentals and containers. As a team, we value intellectual honesty in decision-making, peer reviews, and writing clear and maintainable code. While we are building a full team including senior, junior and entry-level roles, the senior roles require a strong understanding of containers and the kernel semantics and capabilities that underpin them.

Location:This team is based in the APAC region, these remote roles can be filled from anywhere in APAC time zones.

What your day will look like

Design the user experience of new capabilities in the tool Write high-quality code to create new features Obsess with correctness and robustness of your work for diverse use cases Go the extra mile in making sure the software you create addresses a well-defined problem Think carefully through implementation strategy from the perspective of performance, quality and security Work with teams both inside and outside of Canonical

What we are looking for in you

You have professional software development experience using Go, Python, C, or C++ You know Linux system-level fundamentals, e.g. cgroups, namespaces You are curious, thoughtful, articulate, and accountable

Additional, non-essential skills we value

Experience with LXC/LXD Experience with AI/ML and/or CUDA/OpenVINO Knowledge of system and language package managers internals

What we offer you

Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits above, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce.

In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, please ask your Talent Partner.

Fully remote working environment - we’ve been working remotely since ! Personal learning and development budget of 2,USD per annum Annual compensation review Recognition rewards Annual holiday leave Parental Leave Employee Assistance Programme Opportunity to travel to new locations to meet colleagues at ‘sprints’ Priority Pass for travel and travel upgrades for long haul company events

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Top 10 Best UK Universities for Machine Learning Degrees (2025 Guide)

Explore ten UK universities that deliver world-class machine-learning degrees in 2025. Compare entry requirements, course content, research strength and industry links to find the programme that fits your goals. Machine learning (ML) has shifted from academic curiosity to the engine powering everything from personalised medicine to autonomous vehicles. UK universities have long been pioneers in the field, and their programmes now blend rigorous theory with hands-on practice on industrial-scale datasets. Below, we highlight ten institutions whose undergraduate or postgraduate pathways focus squarely on machine learning. League tables move each year, but these universities consistently excel in teaching, research and collaboration with industry.

How to Write a Winning Cover Letter for Machine Learning Jobs: Proven 4-Paragraph Structure

Learn how to craft the perfect cover letter for machine learning jobs with this proven 4-paragraph structure. Ideal for entry-level candidates, career switchers, and professionals looking to advance in the machine learning sector. When applying for a machine learning job, your cover letter is a vital part of your application. Machine learning is an exciting and rapidly evolving field, and your cover letter offers the chance to demonstrate your technical expertise, passion for AI, and your ability to apply machine learning techniques to solve real-world problems. Writing a cover letter for machine learning roles may feel intimidating, but by following a clear structure, you can showcase your strengths effectively. Whether you're just entering the field, transitioning from another role, or looking to advance your career in machine learning, this article will guide you through a proven four-paragraph structure. We’ll provide practical tips and sample lines to help you create a compelling cover letter that catches the attention of hiring managers in the machine learning job market.

Veterans in Machine Learning: A Military‑to‑Civilian Pathway into AI Careers

Introduction Artificial intelligence is no longer relegated to sci‑fi films—it underpins battlefield decision‑support, fraud detection, and even supermarket logistics. The UK Government’s 2025 AI Sector Deal forecasts an additional £200 billion in GDP by 2030, with machine‑learning (ML) engineers cited as the nation’s second most in‑demand tech role (Tech Nation 2024). The Ministry of Defence’s Defence AI Strategy echoes that urgency, earmarking £1.6 billion for FY 2025–28 to embed ML into planning, logistics, and autonomous systems. If you have ever tuned a radar filter, plotted artillery trajectories, or sifted sensor data for actionable intel, you have already worked with statistical modelling—the backbone of machine learning. This guide shows UK veterans how to reframe military experience for ML roles, leverage MoD transition funding, and land high‑impact positions building the models shaping tomorrow’s defence and commercial landscapes. Quick Win: Bookmark our live board for Machine‑Learning Engineer roles to see who’s hiring today.