{"id":56610,"url":"https://alion.io/job/juju-mlops-field-engineer","title":"MLOps Field Engineer","company":{"id":17888,"name":"Canonical","domain":"canonical.com","url":"https://alion.io/company/canonical","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"C","score":65,"open_postings":258,"ghost_share":0.504,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":230,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Debian","optional":false},{"name":"DVC","optional":false},{"name":"Feast","optional":false},{"name":"GCP","optional":false},{"name":"Kubeflow","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"OpenStack","optional":false},{"name":"Python","optional":false},{"name":"Rust","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Ubuntu","optional":false}],"status":"live","first_seen_at":"2025-04-10T07:47:40Z","employer_posted_date":"2026-08-05","last_verified_at":"2026-10-17T12:39:08Z","board_verified":true,"closed_at":null,"days_open":555,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":554},"description":"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.\nThe company is founder-led, profitable, and growing.\nWe are hiring an MLOps Field Engineer to help global companies embrace AI/ML 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. \nThe people who love this role are MLOps engineers who enjoy customer conversations and solving customer problems during the presales cycle. They are solutions architects who like to solve customer problems through architecture, presentations and training. This role is highly focused on designing ML architectures for external customers. It is not a software development role. \nThis 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 Kubernetes 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.\nLocation: 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.\nWhat your day will look like\nThe 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.\nWork across the entire Linux stack, from kernel, networking, storage, to applications,\nArchitect cloud infrastructure solutions like Kubernetes, Kubeflow, OpenStack and Spark,\nDeliver solutions either on-premise or in public cloud (AWS, Azure, Google Cloud),\nCollect customer business requirements and advise them on Ubuntu and relevant open source applications,\nGrow a healthy, collaborative engineering culture in line with the company values,\nDeliver presentations and demonstrations of Ubuntu Pro and AI/ML capabilities to prospective and current clients,\nLiaise with product teams to give them feedback on requirements to influence roadmap,\nWork collaboratively with your sales team to reach our common targets,\nGlobal travel up to 30% of time for internal, external events and customer meetings.\nWhat we are looking for in you\nExceptional academic track record from both high school and university,\nUndergraduate degree in a technical subject or a compelling narrative about your alternative chosen path,\nExperience in data engineering, MLOps, or big data solutions deployment,\nExperience with a relevant programming language, like Python, R, or Rust,\nConfidence to respectfully speak up, exchange feedback, and share ideas without hesitation,\nTrack record of going above-and-beyond expectations to achieve outstanding results,\nDemonstrated personal interest in continuous learning and development,\nPractical knowledge of Linux, virtualization, containers and networking,\nBusiness-minded technology thinker and problem solver,\nKnowledge of cloud computing concepts & leaders, such as Kubernetes, AWS, Azure, GCP,\nInterest in large-scale enterprise open source - private clouds, machine learning and AI, data and analytics,\nIntermediate level Python programming skills,\nPassion for technology evidenced by personal projects and initiatives,\nThe work ethic and confidence to shine alongside motivated colleagues,\nProfessional written and spoken English with excellent presentation skills,\nExperience with Linux (Debian or Ubuntu preferred),\nExcellent interpersonal skills, curiosity, flexibility, and accountability,\nA dynamic person who loves to jump in new projects and interact with people,\nAppreciative of diversity, polite and effective in a multi-cultural, multi-national organisation,\nThoughtfulness and self-motivation,\nResult-oriented, with a personal drive to follow up and meet commitments,\nAbility to travel internationally, for company events up to two weeks long, and customer or industry meetings.\nWhat you’ll learn\nArchitect and deploy AI/ML infrastructures, data processing pipelines and multi-cluster distributed training,\nWide range of open source applications and skills,\nWork directly with customers in a range of different businesses,\nReal-life and hands-on exposure to a wide range of emerging technologies and tools.\nWhat we offer colleagues\nWe 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.\nDistributed work environment with twice-yearly team sprints in person\nPersonal learning and development budget of USD 2,000 per year\nAnnual compensation review\nRecognition rewards\n40 days annual leave per annum, including public holidays and our All Company holiday periods\nMaternity and paternity leave\nTeam Member Assistance Program & Wellness Platform\nOpportunity to travel to new locations to meet colleagues\nPriority Pass and travel upgrades for long-haul company events\nAbout Canonical\nCanonical 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.\nCanonical is an equal opportunity employer\nWe 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.","description_format":"text","description_chars":7796,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":["Annual leave","Company events","Continuous learning"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Cloud Platforms (IaaS & PaaS)","Operating Systems","Virtualization & Containers"],"lifecycle":[{"event":"open","at":"2025-04-10T07:47:40Z"}],"visa":[{"country":"GB","licensed_sponsor":true,"evidence":"Licensed UK visa sponsor (Skilled Worker)","filings_12m":null,"filings_prev_12m":null,"green_card_filings_12m":null,"median_offered_wage_usd":null,"route":"Skilled Worker","cap_exempt":false,"checked_at":"2026-10-17T06:21:15+00:00","sources":["UK Home Office: register of licensed sponsors (workers)"],"filings_for_role_12m":0}],"liveness":{"score":5,"band":"cold","label":"Long shot","p_open":1,"p_active":0.193,"p_room":0.28,"age_days":554,"expected_fill_days":230,"reasons":["conf:3","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/juju-mlops-field-engineer","json_url":"https://alion.io/job/juju-mlops-field-engineer.json","meta":{"generated_at":"2026-10-17T13:53:28Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":18672,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":17888},"rest":"https://alion.io/mcp/rest/get_company?id=17888"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fjuju-mlops-field-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fjuju-mlops-field-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fjuju-mlops-field-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/juju-mlops-field-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fjuju-mlops-field-engineer"}]}