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Canonical

<div>
 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
 
 Python and Kubernetes Specialist Engineers focused on Data, Workflows, AI/ML and Analytics Solutions
 
 to join our teams building open source solutions for public cloud and private infrastructure.
 
 
 As a software engineer on the team, you'll collaborate on end-to-end data analytics and MLOps solutions composed of popular, open-source, machine learning tools, such as Kubeflow, MLFlow, DVC, and Feast. You may also work on ETL, data governance and visualization tools like Apache SuperSet, dbt, workflow orchestration tools such as Airflow and Temporal, or data warehouse solutions such as Apache Trino, or ClickHouse. These solutions may be run on servers or on the cloud, on machines or on Kubernetes, on developer desktops, or as web services.
 
 
 We serve the needs of individuals and community members as much as the needs of our Global 2000 and Fortune 500 customers; we make our primary work available free of charge and our Pro subscriptions are also available to individuals for personal use at no cost. Our goal is to enable more people to enjoy the benefits of open source, regardless of their circumstances.
 
 
 
 Location:
 
 This initiative spans many teams that are home-based and in multiple time zones. We believe in distributed collaboration but we also try to ensure that colleagues have company during their work hours! Successful candidates will join a team where most members and your manager are broadly in the same time zone so that you have the benefits of constant collaboration and discussion.
 
 
 
 What your day will look like
 
 
 
 <ul>
 <li>
 Develop your understanding of the entire Linux stack, from kernel, networking, and storage, to the application layer
 </li>
 <li>
 Design, build and maintain solutions that will be deployed on public and private clouds and local workstations
 </li>
 <li>
 Master distributed systems concepts such as observability, identity, tracing
 </li>
 <li>
 Work with both Kubernetes and machine-oriented open source applications
 </li>
 <li>
 Collaborate proactively with a distributed team of engineers, designers and product managers
 </li>
 <li>
 Debug issues and interact in public with upstream and Ubuntu communities
 </li>
 <li>
 Generate and discuss ideas, and collaborate on finding good solutions
 
 
 </li>
 </ul>
 
 What we are looking for in you
 
 
 
 <ul>
 <li>
 Professional or academic software delivery using Python
 </li>
 <li>
 Exceptional academic track record from both high school and university
 </li>
 <li>
 Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path
 </li>
 <li>
 Confidence to respectfully speak up, exchange feedback, and share ideas without hesitation
 </li>
 <li>
 Track record of going above-and-beyond expectations to achieve outstanding results
 </li>
 <li>
 Passion for technology evidenced by personal projects and initiatives
 </li>
 <li>
 The work ethic and confidence to shine alongside motivated colleagues
 </li>
 <li>
 Professional written and spoken English with excellent presentation skills
 </li>
 <li>
 Experience with Linux (Debian or Ubuntu preferred)
 </li>
 <li>
 Excellent interpersonal skills, curiosity, flexibility, and accountability
 </li>
 <li>
 Appreciative of diversity, polite and effective in a multi-cultural, multi-national organisation
 </li>
 <li>
 Thoughtfulness and self-motivation
 </li>
 <li>
 Result-oriented, with a personal drive to meet commitments
 </li>
 <li>
 Ability to travel twice a year, for company events up to two weeks long
 
 
 </li>
 </ul>
 
 Additional skills that would be nice to have
 
 
 
 The following skills may be helpful to you in the role, but we don't expect everyone to bring all of them.
 
 
 <ul>
 <li>
 Proven track record of building highly automated machine learning solutions, data pipelines, or orchestrating workflows for the cloud.
 </li>
 <li>
 Hands-on experience with machine learning libraries, or tools.
 </li>
 <li>
 Experience with container technologies (Docker, LXD, Kubernetes, etc.)
 </li>
 <li>
 Experience with public clouds (AWS, Azure, Google Cloud)
 </li>
 <li>
 Working knowledge of cloud computing
 </li>
 <li>
 Passionate about software quality and testing
 </li>
 <li>
 Experience working on an open source project
 
 
 </li>
 </ul>
 
 What we offer colleagues
 
 
 
 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.
 
 
 <ul>
 <li>
 Distributed work environment with twice-yearly team sprints in person
 </li>
 <li>
 Personal learning and development budget of USD 2,000 per year
 </li>
 <li>
 Annual compensation review
 </li>
 <li>
 Recognition rewards
 </li>
 <li>
 Annual holiday leave
 </li>
 <li>
 Maternity and paternity leave
 </li>
 <li>
 Employee Assistance Programme
 </li>
 <li>
 Opportunity to travel to new locations to meet colleagues
 </li>
 <li>
 Priority Pass, and travel upgrades for long haul company events
 
 
 </li>
 </ul>
 
 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.
 
 
</div>

Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics

<div>
 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 1200+ colleagues in 75+ countries and very few office-based roles. 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.
 
 
 Help us shape the future of open source IT, devops, and IS, from bare metal to containers. Our goal is to revolutionise open source application and infrastructure operations.
 
 
 We want to transform the world of software operations by enabling true model-driven operations via next-generation infrastructure-as-code. This will allow companies to run very efficient bare-metal operations for high-performance computing, private cloud, data lakes, AI/ML, and analytics. We need to invent some new technology, and we need to build some new products; we are therefore looking for someone who can lead and inspire a regional software engineering team to fulfill this initiative.
 
 
 The Solutions Engineering team works in close collaboration with our managed infrastructure operations team, which runs many private OpenStack clouds and Kubernetes clusters for customers around the world. This enables us to improve our infra-as-code products based on our own real experience, mirroring that of our users and customers. We work in Python, creating open source automation capabilities that simplify operations for anybody, anywhere, who is building on Ubuntu.
 
 
 Most of the team's work involves pure Python software development focused on enabling true DevOps workflows. We strive for high quality in both design, documentation, tests, and performance as we enhance operations code packages and Ubuntu itself in order to ensure our platform is the easiest, most robust, and best performing for driving your infrastructure.
 
 
 This role is ideal for software engineers who want to work in a global team, have a passion for distributed systems and cloud computing, and an interest in the entire Linux stack - from kernel to networking to virtualization and containers.
 
 
 What you will do
 
 
 <ul>
 <li>
 Work in Python and Golang to design and deliver open source software operations code
 </li>
 <li>
 Work with the entire Linux stack, from kernel, networking, storage, to applications
 </li>
 <li>
 Shape high quality open source monitoring and alerting infrastructure
 </li>
 <li>
 Rethink open source operations for our customers and open source community
 </li>
 <li>
 Demonstrate sound engineering design and testing principles in your code
 </li>
 <li>
 Follow agile software development practices
 </li>
 <li>
 Coach and develop your colleagues where you have insights
 </li>
 <li>
 Grow a healthy, collaborative engineering culture in line with the company values
 </li>
 <li>
 Global travel up to 10% of time for internal and external events
 
 
 </li>
 </ul>
 Who you are
 
 
 <ul>
 <li>
 You are a passionate Python developer
 </li>
 <li>
 You are organised and want your team to deliver timely, high quality software
 </li>
 <li>
 You understand the importance of reliable operations in an agile world
 </li>
 <li>
 You have sound knowledge of cloud computing concepts &amp; technologies
 </li>
 <li>
 You have practical knowledge of Linux and networking
 </li>
 <li>
 You are a lifelong learner
 
 
 </li>
 </ul>
 Bonus points for
 
 
 <ul>
 <li>
 You have graduated with a university degree in Computer Science or related software engineering field
 </li>
 <li>
 Golang programming skills
 
 
 </li>
 </ul>
 What we offer colleagues
 
 
 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 recognize 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.
 
 
 <ul>
 <li>
 Distributed work environment with twice-yearly team sprints in person
 </li>
 <li>
 Personal learning and development budget of USD 2,000 per year
 </li>
 <li>
 Annual compensation review
 </li>
 <li>
 Recognition rewards
 </li>
 <li>
 Annual holiday leave
 </li>
 <li>
 Maternity and paternity leave
 </li>
 <li>
 Team Member Assistance Program &amp; Wellness Platform
 </li>
 <li>
 Opportunity to travel to new locations to meet colleagues
 </li>
 <li>
 Priority Pass and travel upgrades for long-haul company events
 
 
 </li>
 </ul>
 
 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 our 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.
 
 
</div>

Software Engineer - Solutions Engineering

PHAZERO

<div>The Role
PhazeRo is looking for a Senior Machine Learning Engineer who will take a technical
leadership role in architecting and scaling real-world AI products. You will be responsible for
contributing to and overseeing the end-to-end lifecycle of high-impact agentic systems,
moving beyond individual experimentation to leading the deployment of robust,
production-grade models. You will serve as a technical mentor for the team, driving best
practices in Software Engineering, MLOps, and LLM optimization to power next-generation
user experiences.
Core responsibilities<ul><li>Architect and Optimize Systems: Design and oversee the development of scalable</li></ul>
data pipelines for complex model training and real-time inference.<ul><li>Advanced LLM Development: Lead the fine-tuning, evaluation, and optimization of</li></ul>
Large Language Models (LLMs) specifically for production-level Agentic Digital
Assistants.<ul><li>Production &amp; Infrastructure Leadership: Direct the deployment of open-source and</li></ul>
proprietary models on remote servers, ensuring high performance, low latency, and
cost-efficiency.<ul><li>Strategic Integration: Work closely with cross-functional engineering leads to</li></ul>
integrate sophisticated ML components into broader system architectures.<ul><li>Model Governance: Establish robust monitoring frameworks to track model</li></ul>
performance and implement automated retraining loops to maintain quality and
relevance.<ul><li>R&amp;D Mentorship: Stay at the forefront of AI research and tools, translating new</li></ul>
techniques into actionable strategies for the team.
What we value<ul><li>Deep LLM Expertise: Extensive experience with transformers and advanced</li></ul>
techniques in fine-tuning, prompt engineering, and rigorous model evaluation.<ul><li>Senior Production Track Record: A proven history of taking complex ML projects</li></ul>
from research notebooks to successful, large-scale production environments.<ul><li>Expert Programming &amp; Framework Knowledge: Mastery of Python and deep</li></ul>
learning.<ul><li>MLOps Mastery: Deep familiarity with professional MLOps tooling (e.g., MLflow,</li></ul>
Weights &amp; Biases, Docker) and cloud-native architectures on OCI, AWS or GCP.<ul><li>Strategic Builder Mentality: A drive to ship fast and iterate based on user data, while</li></ul>
maintaining a long-term technical vision for product growth.<ul><li>Collaborative Leadership: Strong communication skills with the ability to lead</li></ul>
remote-first teams and foster a culture of technical excellence and inclusion</div>

Senior Machine Learning Engineer

PhazeRo

<div>
 The Role
 
 
 PhazeRo is looking for a Senior Machine Learning Engineer who will take a technical
 
 
 leadership role in architecting and scaling real-world AI products. You will be responsible for
 
 
 contributing to and overseeing the end-to-end lifecycle of high-impact agentic systems,
 
 
 moving beyond individual experimentation to leading the deployment of robust,
 
 
 production-grade models. You will serve as a technical mentor for the team, driving best
 
 
 practices in Software Engineering, MLOps, and LLM optimization to power next-generation
 
 
 user experiences.
 
 
 Core responsibilities
 
 
 <ul>
 <li>
 Architect and Optimize Systems: Design and oversee the development of scalable
 
 
 </li>
 </ul>
 data pipelines for complex model training and real-time inference.
 
 
 <ul>
 <li>
 Advanced LLM Development: Lead the fine-tuning, evaluation, and optimization of
 
 
 </li>
 </ul>
 Large Language Models (LLMs) specifically for production-level Agentic Digital
 
 
 Assistants.
 
 
 <ul>
 <li>
 Production &amp; Infrastructure Leadership: Direct the deployment of open-source and
 
 
 </li>
 </ul>
 proprietary models on remote servers, ensuring high performance, low latency, and
 
 
 cost-efficiency.
 
 
 <ul>
 <li>
 Strategic Integration: Work closely with cross-functional engineering leads to
 
 
 </li>
 </ul>
 integrate sophisticated ML components into broader system architectures.
 
 
 <ul>
 <li>
 Model Governance: Establish robust monitoring frameworks to track model
 
 
 </li>
 </ul>
 performance and implement automated retraining loops to maintain quality and
 
 
 relevance.
 
 
 <ul>
 <li>
 R&amp;D Mentorship: Stay at the forefront of AI research and tools, translating new
 
 
 </li>
 </ul>
 techniques into actionable strategies for the team.
 
 
 What we value
 
 
 <ul>
 <li>
 Deep LLM Expertise: Extensive experience with transformers and advanced
 
 
 </li>
 </ul>
 techniques in fine-tuning, prompt engineering, and rigorous model evaluation.
 
 
 <ul>
 <li>
 Senior Production Track Record: A proven history of taking complex ML projects
 
 
 </li>
 </ul>
 from research notebooks to successful, large-scale production environments.
 
 
 <ul>
 <li>
 Expert Programming &amp; Framework Knowledge: Mastery of Python and deep
 
 
 </li>
 </ul>
 learning.
 
 
 <ul>
 <li>
 MLOps Mastery: Deep familiarity with professional MLOps tooling (e.g., MLflow,
 
 
 </li>
 </ul>
 Weights &amp; Biases, Docker) and cloud-native architectures on OCI, AWS or GCP.
 
 
 <ul>
 <li>
 Strategic Builder Mentality: A drive to ship fast and iterate based on user data, while
 
 
 </li>
 </ul>
 maintaining a long-term technical vision for product growth.
 
 
 <ul>
 <li>
 Collaborative Leadership: Strong communication skills with the ability to lead
 
 
 </li>
 </ul>
 remote-first teams and foster a culture of technical excellence and inclusion
</div>

<div>
 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 1200+ colleagues in 75+ countries and very few office-based roles. 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 a Software Support Engineer to&hellip;
 
 
 &hellip;work in a dynamic and exciting engineering role in Linux-based infrastructure and applications, covering all layers of the stack, including bare metal, virtualization (KVM), containerization (Docker/LXC/LXD), storage (Ceph and Linux filesystems), networking (OVS, OVN and Core networking), OpenStack, Kubernetes and the open source applications running on top of them. It will challenge you to show the breadth of your engineering skills, which will be needed to work on almost any aspect of Ubuntu and the open source applications large enterprise customers run.
 
 
 This role is an opportunity for a technologist with a passion for Linux and open source to build a career with Canonical and drive success for our customers, community and the company. If you have an affinity for open source software, great communication skills, and a passion for troubleshooting and fixing issues in technology used by millions across the world, then you will enjoy working with some of the best people in the industry at Canonical.
 
 
 This role deals with critical issues in the open source stack that require upstream bug fixes. Our engineers are able to work productively at any level of the stack including the kernel and in a wide range of languages, to understand and address the software issues at hand. Our group is critical to the success of our customers, partners and Ubuntu itself.
 
 
 You will help with troubleshooting and driving issues to resolution with workarounds, guidance, and bug fixes to be released upstream and in Ubuntu.
 
 
 
 Location:
 
 This is a remote role, we have teams in all time zones.
 
 
 The role entails
 
 
 <ul>
 <li>
 Resolve complex customer problems related to Ubuntu, Kernel, Ceph, OpenStack, or Kubernetes and other open source software
 </li>
 <li>
 Maintain a close working relationship with Canonical's Field, Support and product engineering teams
 </li>
 <li>
 Participate in upstream communities
 </li>
 <li>
 Develop bug fixes, backport patches, and work with upstream for inclusion
 </li>
 <li>
 Review code produced by other engineers
 </li>
 <li>
 Demonstrate good judgment in technical methods and techniques
 </li>
 <li>
 Prioritize work and manage your time effectively against those priorities
 </li>
 <li>
 Participate in team discussions to improve processes, tools, and documentation
 </li>
 <li>
 Maintain clear, technical and concise communications
 </li>
 <li>
 Work from home and travel internationally up to 10% of work time for team meetings, events and conferences
 
 
 </li>
 </ul>
 What we are looking for in you
 
 
 <ul>
 <li>
 An exceptional academic track record
 </li>
 <li>
 Background in Computer Science, STEM or similar
 </li>
 <li>
 Experience with Linux and open source software
 </li>
 <li>
 Experience with at least one of Python, Go, C or C++ on Linux
 </li>
 <li>
 A drive to learn unfamiliar technology and deep-dive difficult issues
 </li>
 <li>
 Willingness to travel up to 4 times a year for internal events
 
 
 </li>
 </ul>
 Nice-to-have skills
 
 
 <ul>
 <li>
 You love technology and working with brilliant people
 </li>
 <li>
 You are curious, flexible, articulate, and accountable
 </li>
 <li>
 You value soft skills and are passionate, enterprising, thoughtful, and self-motivated
 </li>
 <li>
 You have interest in, or willingness to learn about any of the following: Ubuntu Linux - kernel or userspace, Kubernetes, OpenStack, Ceph, QEMU/KVM, LXC/LXD,Postgresql, Mongo, Debian packaging, distributed systems
 
 
 </li>
 </ul>
 What we offer colleagues
 
 
 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 recognize 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.
 
 
 <ul>
 <li>
 Distributed work environment with twice-yearly team sprints in person
 </li>
 <li>
 Personal learning and development budget of USD 2,000 per year
 </li>
 <li>
 Annual compensation review
 </li>
 <li>
 Recognition rewards
 </li>
 <li>
 Annual holiday leave
 </li>
 <li>
 Maternity and paternity leave
 </li>
 <li>
 Employee Assistance Programme &amp; Wellness Platform
 </li>
 <li>
 Opportunity to travel to new locations to meet colleagues
 </li>
 <li>
 Priority Pass and travel upgrades for long-haul company events
 
 
 </li>
 </ul>
 
 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 our 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.
 
 
</div>

Software Support Engineer

<div>
 
 Core Competencies
 
 
 
 <ul>
 <li>
 1-3 years of experience in Data Science, Analytics, or a related quantitative role
 </li>
 <li>
 Strong ability to translate business problems into structured data problems and analytical solutions
 </li>
 <li>
 Experience working with cross-functional stakeholders (e.g., Marketing, Product, Operations) to define KPIs, hypotheses, and success metrics
 </li>
 <li>
 Demonstrated ability to take models from experimentation to production environments
 
 
 </li>
 </ul>
 
 Technical Skills
 
 
 
 <ul>
 <li>
 Proficiency in Python
 </li>
 <li>
 Solid understanding of machine learning fundamentals (supervised and unsupervised learning, model evaluation, feature engineering)
 </li>
 <li>
 Experience building and validating models such as:
 
 
 </li>
 </ul>
 Customer segmentation (clustering, behavioral profiling)
 
 
 Churn prediction and retention modeling
 
 
 Propensity modeling and marketing attribution
 
 
 <ul>
 <li>
 Experience with SQL and working with structured and semi-structured data
 </li>
 <li>
 Familiarity with data visualization and BI tools (e.g., Power BI, Tableau, Looker)
 </li>
 <li>
 Ability to generate actionable business insights from data, not just models
 
 
 </li>
 </ul>
 
 Production &amp; Engineering Mindset
 
 
 
 <ul>
 <li>
 Experience deploying models into production (APIs, batch pipelines, or integration with applications)
 </li>
 <li>
 Understanding of MLOps fundamentals (model versioning, monitoring, retraining workflows)
 </li>
 <li>
 Experience with Git and collaborative development workflows
 </li>
 <li>
 Experience working with cloud environments (AWS, Azure, GCP) is a plus
 
 
 </li>
 </ul>
 
 Business &amp; Analytical Thinking
 
 
 
 <ul>
 <li>
 Strong problem-structuring skills and hypothesis-driven thinking
 </li>
 <li>
 Ability to design experiments (A/B testing) and measure marketing impact
 </li>
 <li>
 Understanding of marketing analytics concepts (CAC, LTV, funnels, cohorts, retention curves)
 </li>
 <li>
 Ability to clearly communicate findings to both technical and non-technical stakeholders
 
 
 </li>
 </ul>
 
 Personal Attributes
 
 
 
 <ul>
 <li>
 Strong ownership mindset and ability to work independently
 </li>
 <li>
 Curiosity and proactive learning attitude
 </li>
 <li>
 Detail-oriented with high standards for data quality and analytical rigor
 </li>
 <li>
 Strong written and verbal communication skills
 </li>
 </ul>
</div>

Data Scientist

Explore 350+ Python and kubernetes software engineer data workflows ai ml analytics in Muscat this March. Find roles across top companies and apply now to boost your career.

350 python and kubernetes software engineer data workflows ai ml analytics jobs In Muscat

Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics

Software Engineer - Solutions Engineering

Software Engineer - Solutions Engineering

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Software Support Engineer

Data Scientist