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Engineering Manager - MLOps & Analytics

Canonical

Location: Anywhere Work arrangement: Worldwide remote Employment: Full Time Posted: October 25, 2026 Freshness: Very fresh Source check: Observed in the past 3 days
Disclosure3 of 5 core facts statedReview uncertainties
Last source observationObserved in the past 3 daysObservation is not employer confirmation.
Application destinationjobicy.comReview the application route and source evidence in the full report below.

Before relying on the listing: Confirm Compensation and Application closing time with the employer or source. See verification questions

Executive opportunity brief

The decision in one screen

A compact evidence-first read of compensation, flexibility, mobility and what still needs verification. No universal quality score is used.

Compensation positionPay not disclosed
Work flexibilityWorldwide remoteBased only on stated location/work-arrangement evidence.
Decision evidence3 of 5 core facts known
Mobility evidenceSponsorship not establishedUnknown evidence is not treated as unavailable.
Current alternativesCurrent role context limitedCurrent HPJ inventory, not the whole labor market.
Negotiation readinessNegotiation evidence is limited. Use the lab primarily to organize what must be clarified rather than to infer a market value.Use the private Offer & Negotiation Lab below if an offer arrives.

Fast read

Opportunity DNA

This opportunity needs a closer read before drawing a strong conclusion, especially around the pay picture is incomplete.

PayNot disclosed

A financial comparison will need the approved compensation range.

FlexibilityLocation limits visible

Work-related travel is required or expected.

Entry pathRequirements unclear

The listing does not make the minimum education or experience threshold clear enough yet.

MobilityNot established

Sponsorship and relocation support are not clear from the current listing.

ApplicationSome process detail

Part of the application route can be assessed, but the full external process may contain additional steps.

TraceabilityCurrent source traceable

At least one recent enabled source can still renew this vacancy.

This fingerprint summarizes what is clear, constrained or still unanswered in the current listing. It is a reading aid, not an overall job score.

Decision evidence check

3 of 5 core facts stated

This checks whether the listing states the facts that commonly change an employment decision. It measures disclosure completeness, not whether the opportunity is good or bad.

Facts already stated

  • Work arrangement
  • Location eligibility
  • Employment type

What to verify next

  • Compensation: What is the approved compensation range, and what portion is guaranteed base pay rather than variable compensation?
  • Application closing time: Is there a firm application deadline, a rolling review window or no stated closing date?

Unknown information is never converted into a negative score. The questions above exist to prevent missing evidence from being mistaken for a favorable term.

Decision levers

What could make or break the fit?

Reasons to look closer

Nothing stands out strongly enough yet to call a clear advantage. The role may still be attractive for reasons the listing does not spell out.

Trade-offs to weigh

  • The pay picture is incomplete: No usable salary range is stated, so a meaningful financial comparison is not possible yet.
  • Location rules could change the fit: Work-related travel is required or expected.

Questions worth asking before you invest more time

  • Ask for the approved compensation range before comparing this opportunity financially.
  • Confirm whether a degree is actually required, preferred, or replaceable with equivalent experience.
  • Confirm the actual minimum experience requirement rather than assuming preferred background is mandatory.
  • Ask whether visa sponsorship is available before investing significant time in the application.

These questions come from details the listing leaves open. An unanswered point is not treated as a disadvantage.

Salary transparency context

Is pay disclosure typical for this kind of role?

This listing does not state usable structured compensation, and the current role sample is still too small for a reliable disclosure-rate comparison.

This listingUsable pay not stated

Compensation counts only when amount, ISO currency and supported pay period are all known.

Current same-role sampleInsufficient evidence

At least ten current comparable roles are required before HPJ publishes a disclosure percentage.

Current employer pattern1%

Employer-level comparison is withheld until enough current employer listings are available.

This compares salary-disclosure behavior in current visible listings. It does not compare raw salary amounts across currencies, infer undisclosed pay as zero, or rate employer quality.

Private offer & negotiation lab

Turn an offer into evidence, not guesswork

Enter an annual base offer and, if you want, your own target. HPJ compares only within one explicit currency and never chooses a target for you.

Advertised annualized payNot usable / not disclosedListing evidence only.
Current comparable medianInsufficient same-currency sampleAt least 10 observations required.
Current upper quartileNot publishedCurrent HPJ inventory context, not a salary recommendation.

Negotiation evidence is limited. Use the lab primarily to organize what must be clarified rather than to infer a market value.

Enter an annual base offer to compare it with explicit same-currency evidence. HPJ will not suggest a target for you.

Review the full package · 10 terms

Mark what is confirmed, what needs clarification and what you want to prioritize. These choices and notes stay in this browser.

Base payVerify

The approved base-pay range is not established in the listing.

Bonus / commissionMentioned

Variable compensation is mentioned; verify amount, formula, target and eligibility.

Equity / long-term incentivesVerify

Equity or long-term incentive language is mentioned; verify grant type, vesting and valuation basis.

Retirement / pensionVerify

Retirement or pension benefits are mentioned; verify employer contribution and vesting.

Health benefitsVerify

Health-benefit language is mentioned; verify coverage, dependants and employee cost.

Paid leaveVerify

Paid-leave language is mentioned; verify the exact entitlement and carry-over rules.

Work arrangementKnown

A work-arrangement signal is available; verify schedule details before relying on it.

RelocationVerify

Relocation support not established

Visa / work authorizationVerify

Sponsorship not established

Review timingMentioned

A review cycle is mentioned; verify timing and whether compensation can change at that review.

Questions worth taking into the offer conversation

  • What is the approved base-pay range for this role?
  • Does the package include equity or another long-term incentive, and what are the vesting terms?
  • What retirement or pension contribution does the employer provide?
  • What health coverage is included and what costs remain with the employee?
  • How much paid leave is provided and what are the carry-over or blackout rules?
  • If relocation is relevant, what expenses, timing and repayment conditions are covered?
  • What exact sponsorship or work-authorization conditions apply to this role?
  • What is the approved compensation range, and what portion is guaranteed base pay rather than variable compensation?

Skill bridge

What does this role connect to?

The listing contains useful skill signals, while the current occupation sample is still too thin for a broader comparison.

Skills named in this listing

AWSAzureDockerGoogle CloudKubernetesLinuxMachine LearningPython

Shared with the current career sample

The occupation sample is still too thin for a reliable shared-skill comparison.

Application edge

  • If these skills match your background, prepare one concrete example that shows how you used AWS, Azure, and Docker rather than relying on a keyword-only claim.
  • The listing mentions extra application steps. Review those requirements before starting so you can prepare the requested material in one pass.

Skill signals come from explicit text mentions. A mention is not automatically a requirement, and absence from the current top-skill list does not make a skill rare or unimportant.

Application Decision Lab

Turn the listing into a preparation plan

Separate what the listing actually states from what you still need to prepare or verify. Your selections and short notes stay in this browser and are never submitted to High Paid Job.

Listing mention

AWS

This skill or technology is explicitly mentioned in the available listing text. A mention is not automatically a mandatory requirement; prepare a concrete example only if it is relevant to your experience.

Listing mention

Azure

This skill or technology is explicitly mentioned in the available listing text. A mention is not automatically a mandatory requirement; prepare a concrete example only if it is relevant to your experience.

Listing mention

Docker

This skill or technology is explicitly mentioned in the available listing text. A mention is not automatically a mandatory requirement; prepare a concrete example only if it is relevant to your experience.

Listing mention

Google Cloud

This skill or technology is explicitly mentioned in the available listing text. A mention is not automatically a mandatory requirement; prepare a concrete example only if it is relevant to your experience.

Listing mention

Kubernetes

This skill or technology is explicitly mentioned in the available listing text. A mention is not automatically a mandatory requirement; prepare a concrete example only if it is relevant to your experience.

Listing mention

Linux

This skill or technology is explicitly mentioned in the available listing text. A mention is not automatically a mandatory requirement; prepare a concrete example only if it is relevant to your experience.

Application step

Prepare for a stated application step

A portfolio or work sample is explicitly mentioned.

Questions worth resolving before you rely on the opportunity

  • Compensation: What is the approved compensation range, and what portion is guaranteed base pay rather than variable compensation?
  • Application closing time: Is there a firm application deadline, a rolling review window or no stated closing date?
  • Work authorization / sponsorship: If sponsorship or work authorization matters to you, what exact immigration or employer-sponsorship conditions apply to this role?

Decision analysis

What the listing really tells you

Useful decision context

For Engineering Manager - MLOps & Analytics at Canonical, the most useful clues right now are work-location flexibility has usable detail, the application route gives a few useful clues, and source continuity adds useful context. Looking at them together makes the trade-offs easier to see.

Work-location flexibility has usable detail

Location flexibility can be assessed here: Highly location-flexible, with a Remote Freedom reading of 88/100. One practical limit to notice is work-related travel is required or expected..

The application route gives a few useful clues

Provider-mediated application path · 1 visible process step. The external application may contain additional steps that are not visible from the listing itself.

Source continuity adds useful context

1 recent enabled source can currently renew this vacancy across 1 source classes. That improves traceability, although it does not verify the employer itself.

How this analysis is assembled

The brief pulls together the parts of the vacancy that can be compared reliably today. Gaps in the listing remain visible instead of being filled with assumptions.

Analysis evidence coverage

How much analysis can the current evidence support?

50%Partial analysis evidence coverage
50%
Current-sample pay positionInsufficient comparable salary sample

This title does not yet fit a reliable comparison family, so a pay percentile is not shown.

Remote Freedom evidence88 / 100

Measures observable location flexibility and explicit restrictions; it does not determine whether remote work is personally desirable.

Salary evidence qualityNo usable disclosed salary evidence

Missing compensation is not treated as negative evidence; this dimension simply remains unavailable.

Listing freshnessVery fresh

The listing was posted about 2 days ago.

Source provenance evidenceEstablished source evidence

At least one enabled source recently observed the vacancy. The source chain is traceable, but this is not independent employer verification.

There is no universal opportunity score because pay, flexibility and access matter differently to different people. Compare Jobs lets you weight the evidence around your own priorities.

Decision checklist

What is supported, uncertain or worth checking?

This checklist separates supported strengths, visible cautions and missing evidence. It is not an overall recommendation or guarantee that the job is suitable for you.

Supported strengths

  • The available work-location evidence indicates strong location flexibility.

Visible cautions

  • Work-related travel is required or expected.
  • The description appears to require or expect work-related travel. Check the frequency and whether travel time or expenses materially affect the role.

Still unknown

  • There is not enough comparable salary evidence to establish this job’s current pay position.
  • Visa sponsorship is not established by the available listing data.

Qualifications & access

What qualifications are explicitly stated?

Entry-barrier evidence limited

EducationEducation requirement not established
Required experience evidenceExperience requirement not established
Explicit required barriers0
Explicit access signals0

Qualification signals come from explicit listing wording. Anything not mentioned remains unknown, so silence is never treated as proof that a degree, experience, licence or other requirement is unnecessary.

Pay vs. barriers

Opportunity Efficiency not assessed

The current pay position is not reliable enough to weigh compensation against the stated barriers.

Location-freedom constraints

1 explicit Remote Freedom restriction signal is present and is shown separately from qualification requirements.

Evidence gaps that could change this interpretation
  • Current comparable pay position is unavailable.
  • Education requirement is not established.
  • Required prior-experience level is not established.

This section weighs pay context against clearly stated barriers without collapsing unlike requirements into one universal score. Degree, experience, licensing, clearance and location limits remain separate, and missing qualification details stay unknown.

Beyond the headline

Not enough evidence for a hidden-value finding

Potential hidden value appears only when several distinct non-pay advantages are actually supported. Missing requirements or benefits are never counted as positives.

Strong location flexibility

The observable Remote Freedom evidence is strong and contains few explicit restriction signals.

Still check: The current application path is provider-mediated rather than directly classified as an employer-authorized or official route.

Hidden Value is an experimental evidence summary, not an investment-style score or guarantee of employability. It only uses explicit current listing evidence and does not infer that an unmentioned qualification is unnecessary.

Explainable opportunity highlight

Why this opportunity stands out

These are supported signals from the current listing and comparison sample—not a guarantee that this is the best job for you.

Strong remote flexibility

The observable work-location signals indicate unusually strong location flexibility.

Fresh opportunity

The listing was posted about 2 days ago.

Compensation intelligence

How competitive is this pay?

No High Pay Score yet

This title does not yet fit a reliable comparison family, so a pay percentile is not shown.

Why this analysis?

  • This title does not yet fit a reliable comparison family, so a pay percentile is not shown.
  • Salary confidence: Not available. No disclosed salary can currently be normalized for comparison. Missing compensation is not treated as low-quality salary evidence.
  • Range quality: No disclosed range.

Employer compensation communication

Pay transparency at Canonical

Limited current pay transparency

This score uses the employer’s current visible listings and combines how often pay is disclosed with how useful those ranges are. Bonus, equity and benefit mentions are shown separately and do not raise the score.

21/100
21%
Salary disclosure1% · 1 of 149 sampled listings
Range qualityMostly focused or specific pay information
Bonus wording123 current listings
Equity wording20 current listings
Benefits wording143 current listings
Evidence strengthStronger

This pattern comes from the employer’s current visible vacancies. It describes hiring and pay transparency in those listings, not employee satisfaction or a permanent judgement of the employer.

Current employer intelligence

Canonical — current opportunity snapshot

Current opportunities visible149
Salary disclosure1%
Remote-policy evidence coverage100% · 149 of 149 sampled listings
Remote share of known arrangements100%
Worldwide-remote share46%
Known hiring countries4
Sponsorship evidence coverage0% · 0 of 149 sampled listings
Explicit sponsorship outcomes0 confirmed · 0 possible · 0 unavailable
Pattern sample149 of 149 · 100% coverage
Current role-family breadth10
Stated closing-date coverage1%
Relocation evidence coverage0% · 0 explicitly offered
Posted within 7 days46% of listings with a known posting date

Employer Evidence Profile

How often this employer’s current visible sampled vacancies state decision-critical information. These percentages describe evidence coverage, not employer quality.

Compensation1% of sampled current listings

Current sampled listings with advertised compensation evidence.

Work arrangement100% of sampled current listings

Current sampled listings whose work arrangement is clearer than unknown.

Location22% of sampled current listings

Current sampled listings with a supported country signal.

Application timing1% of sampled current listings

Current sampled listings with an explicit closing time.

Posting date100% of sampled current listings

Current sampled listings with a usable posting date.

Sponsorship0% of sampled current listings

Current sampled listings that explicitly indicate confirmed, possible or unavailable sponsorship evidence.

Relocation0% of sampled current listings

Current sampled listings with an explicit relocation signal.

Low coverage means the current visible listings state the information less often. It does not prove that the employer lacks the policy, benefit or support.

Common current occupation families: Software engineering (29) · Sales (15) · Customer success (6)

Visible seniority mix: Early-career (9) · Senior / lead (58) · Leadership (19)

Current employment-type mix: Full time (149)

Most visible hiring countries in this sample: United States (25) · United Kingdom (5) · China (2) · Japan (1)

Other current roles from this employer

These are other current vacancies visible from the same employer, not endorsements or evidence of future hiring plans.

There are not yet five current disclosed salaries in one currency, so an employer pay median would be too thin to be useful.

Questions worth asking this employer

  • What compensation range applies to this role, and which parts of total compensation are fixed versus variable?
  • If work authorization matters to you, what sponsorship policy applies to this specific role and location?
  • If a move is required, is relocation assistance available for this position?
  • What is the expected application and interview timeline if the listing does not state a closing date?

These questions are prompted by missing or thin evidence in the employer’s current visible vacancies. Missing evidence is not treated as a negative judgement.

This employer snapshot uses the employer’s current visible listings. Remote and sponsorship rates use only vacancies with explicit evidence, while missing information stays unknown. Salary medians are shown separately by currency and need at least five disclosed salaries. Zero confirmed sponsorship means none was explicitly found in this sample, not that sponsorship is unavailable.

This snapshot describes the employer’s current visible vacancies—things such as pay disclosure and work arrangement. It is not an employee-satisfaction or hiring-quality rating, and different currencies stay separate.

Work-location intelligence

Remote Freedom

88/100

Highly location-flexible

88%

Why this score?

  • The source describes the role as open worldwide or globally.

Location restrictions detected

  • Work-related travel is required or expected.

Flexibility signals detected

  • Worldwide or global remote eligibility is explicitly indicated.

Remote Freedom measures observable location flexibility only. Unknown work-location information remains unscored. Timezone wording is penalized only when it appears restrictive; general collaboration across time zones is not treated as a restriction. A score does not guarantee legal work eligibility, payroll availability or visa sponsorship.

International applicant intelligence

Visa & relocation signals

Sponsorship status is shown only when the listing provides clear enough wording. Employer history or headquarters location is not used to guess an answer.

Visa sponsorshipSponsorship not established

The available listing details do not contain a clear enough sponsorship statement.

RelocationRelocation support not established

The available listing details do not contain a clear enough relocation statement.

Tradeoff check

What’s the catch?

These are visible conditions worth checking before treating the headline compensation as the whole story:

  • The description appears to require or expect work-related travel. Check the frequency and whether travel time or expenses materially affect the role.

Application-path intelligence

What can we see about the application process?

Provider-mediated application path

The current application path comes through a publisher or aggregator. The destination may still lead to an employer-authorized hiring system, but that is not clear enough to assume.

Current destination: jobicy.com · HTTPS

Visible application steps or requirements

  • A portfolio or work sample is explicitly mentioned.

Application effort is estimated from visible listing and source details. Optional steps are kept separate from mandatory ones, and the external form may contain additional requirements that are not visible here.

Application safety context

Application safety check

Basic application-safety context available

The current application destination has a basic transport-safety signal such as HTTPS. This does not verify the employer, vacancy, recruiter or application process.

Evidence checked: Source provenance · Application destination · Listing wording

Observable transport-safety signals

  • The available application destination uses HTTPS.
Before you share money or sensitive information
  • Confirm the vacancy on the employer’s official careers site when practical, especially if a recruiter contacts you outside the listed application path.
  • Check that recruiter email domains and application destinations are consistent with the employer or an identifiable recruiting provider.
  • Do not pay application, processing, training or equipment fees merely to be considered for a job.
  • Do not send cryptocurrency, gift cards, online-banking credentials or PINs as part of an application.
  • Treat unusually fast offers or interviews conducted only through informal messaging channels as reasons to verify the employer independently.

This is a limited safety screen, not employer verification and not a fraud determination. Never send money, cryptocurrency, passwords or sensitive banking credentials merely because a listing appears on a job platform.

Original listing details

The section below comes from the listing source. The decision sections above use the job’s structured pay, location, qualification, mobility and application details to give you additional context.

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.

 

#LI-remote 

Listing provenance

Where did this job come from?

See where this vacancy came from and whether more than one current source can still support it. Source names help with traceability and attribution; they are not endorsements or guarantees.

Current source evidenceEstablished source evidence

At least one enabled source recently observed the vacancy. The source chain is traceable, but this is not independent employer verification.

Continuity
One recent renewable source
Source-class independence
One renewable source class
Last source observation
Observed in the past 3 days

This records when High Paid Job last observed the vacancy in source evidence. It confirms source presence, not that the employer edited the vacancy at that time.

  • 1 enabled source recently observed this vacancy.

Source confidence is about traceability and continuity. It is separate from application safety and should not be read as an employer reputation rating.

JobicyPublisher source

The vacancy is supplied by an external job publisher. Source information helps show where the listing came from; it is not a guarantee about the employer or vacancy.

Continue to applicationOpens in a new tab

Listing source: Jobicy. Destination: jobicy.com. The application opens in a new tab so you can keep this report open.