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TensorFlow Lite jobs in 2026 — demand, top roles hiring, and related skills

As of 2026-09-30, TensorFlow Lite appears in 429 job postings indexed by Skillenai over the past 90 days — Android Software Engineer has the most postings mentioning TensorFlow Lite.

Last updated · 90d ending 2026-09-30

Postings · last 90 days
429
Top role · 25.9% of skill postings
Android Software Engineer
Top hiring metro
Seoul

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Frequently asked questions about TensorFlow Lite

+Is TensorFlow Lite in demand in 2026?

Yes. TensorFlow Lite appears in 429 job postings indexed by Skillenai over the 90 days ending 2026-09-30. Android Software Engineer accounts for the most postings mentioning TensorFlow Lite (25.9% of all postings mentioning TensorFlow Lite).

+What jobs require TensorFlow Lite?

According to the Skillenai jobs index over the 90 days ending 2026-09-30, among roles with at least 20 postings, the highest shares mentioning TensorFlow Lite are Mobile Application Developer (77.6% of that role’s postings mention TensorFlow Lite), Android Software Engineer (58.7% of that role’s postings mention TensorFlow Lite), iOS Software Engineer (58.0% of that role’s postings mention TensorFlow Lite).

+What skills are commonly paired with TensorFlow Lite?

Across job postings indexed by Skillenai (90 days ending 2026-09-30), TensorFlow Lite most often appears alongside SQL, NoSQL, REST APIs, GitHub, Kotlin.

+Where is TensorFlow Lite most in demand?

As of 2026-09-30, the metro areas posting the most jobs requiring TensorFlow Lite are Seoul, Sydney, Hong Kong, Singapore, Taipei, according to the Skillenai jobs index.

+How can I keep up with new TensorFlow Lite content and jobs?

Skillenai indexes news, blog posts, and research papers mentioning TensorFlow Lite alongside the jobs index. You can subscribe to a daily email digest of new TensorFlow Lite content from your Skillenai account.

+Which skills come before and after TensorFlow Lite?

The skill-flow chart shows skills documented in adjacent positions across observed employer changes. An outgoing skill is documented in the following position but not the preceding one. These are ideas to explore, not proven prerequisites, acquisition dates, or levels of mastery. Each ribbon counts employer moves with that skill pair; one move can contribute several pairs.

Weekly indexed postings requiring TensorFlow Lite — last 90 days

Career paths around TensorFlow Lite

Skills documented before and after this skill across employer changes.

Historical career profiles · all locations

Skills before TensorFlow Lite

Before TensorFlow Litepython → TensorFlow Lite: 2 observed employer moves with this skill pairPower BI → TensorFlow Lite: 2 observed employer moves with this skill pairdocker → TensorFlow Lite: 2 observed employer moves with this skill pairxgboost → TensorFlow Lite: 2 observed employer moves with this skill pairNLP → TensorFlow Lite: 1 observed employer moves with this skill pairSDK → TensorFlow Lite: 1 observed employer moves with this skill pairMVVM → TensorFlow Lite: 1 observed employer moves with this skill pairPickle → TensorFlow Lite: 1 observed employer moves with this skill pairTensorFlowLitepython: 2 movespython2 movesPower BI: 2 movesPower BI2 movesdocker: 2 movesdocker2 movesxgboost: 2 movesxgboost2 movesNLP: 1 movesNLP1 movesSDK: 1 movesSDK1 movesMVVM: 1 movesMVVM1 movesPickle: 1 movesPickle1 moves

Skills after TensorFlow Lite

After TensorFlow LiteTensorFlow Lite → time-series analysis: 1 observed employer moves with this skill pairTensorFlow Lite → quality assurance checks: 1 observed employer moves with this skill pairTensorFlow Lite → summarization: 1 observed employer moves with this skill pairTensorFlow Lite → python: 1 observed employer moves with this skill pairTensorFlow Lite → privacy: 1 observed employer moves with this skill pairTensorFlow Lite → claims automation: 1 observed employer moves with this skill pairTensorFlow Lite → control systems: 1 observed employer moves with this skill pairTensorFlow Lite → Springboot: 1 observed employer moves with this skill pairTensorFlowLitetime-series analysis: 1 movestime-seriesanalysis1 movesquality assurance checks: 1 movesquality assurancechecks1 movessummarization: 1 movessummarization1 movespython: 1 movespython1 movesprivacy: 1 movesprivacy1 movesclaims automation: 1 movesclaims automation1 movescontrol systems: 1 movescontrol systems1 movesSpringboot: 1 movesSpringboot1 moves
How to read this chart · view counts

Each side is an independent set of observed employer moves, not the same people followed through three stages. Ribbon widths compare move counts within that side. Internal moves are not included.

The following position documents a skill that the preceding position does not. Skills must be linked to both positions, with clear dates and no overlap. One move can connect several skill pairs. These patterns suggest skills to explore; they do not establish prerequisites, when a skill was learned, or a higher skill level.

Source: Skillenai talent graph, historical career profiles. Historical descriptions and coverage can change. Only the leading published connections are shown.

Observed connections and move counts
ConnectionMoves
Before: python2
Before: Power BI2
Before: docker2
Before: xgboost2
Before: NLP1
Before: SDK1
Before: MVVM1
Before: Pickle1
After: time-series analysis1
After: quality assurance checks1
After: summarization1
After: python1
After: privacy1
After: claims automation1
After: control systems1
After: Springboot1

Roles most likely to require TensorFlow Lite

Among roles with at least 20 postings in the same period.

RolePostings mentioning skill% of role postings mentioning skill
Mobile Application Developer3877.6%
Android Software Engineer11158.7%
iOS Software Engineer7658.0%
Mobile Software Engineer1417.7%
Mobile Developer2515.6%
Android Engineer4212.1%
Android Developer176.5%
iOS Developer145.4%
ML Researcher13.0%
Mobile Engineer92.6%

Roles with the most TensorFlow Lite postings

RolePostings mentioning skillShare of skill postings
Android Software Engineer11125.9%
iOS Software Engineer7617.7%
Android Engineer429.8%
Mobile Application Developer388.9%
Mobile Developer255.8%
Software Engineer235.4%
Android Developer174.0%
Mobile Software Engineer143.3%
iOS Developer143.3%
Native iOS Engineer133.0%

Top companies posting jobs requiring TensorFlow Lite

Employers ranked by indexed job postings in the last 90 days.

Top companies posting jobs requiring TensorFlow Lite
CompanyPostings · 90 days
Bjakcareer383
Capital One6
CLERA6
Onhires3
Vianttechnology2
Google2
Rivet2
Truecaller2
Algo2
SiliconCloud1

Job postings indexed over the past 90 days, grouped by resolved employer. Counts are postings, not hires. Companies without a published page appear without a link.

Top metros hiring for TensorFlow Lite

NamePostingsShare
Seoul214.9%
Sydney214.9%
Hong Kong204.7%
Singapore204.7%
Taipei194.4%
Tokyo194.4%
San Francisco71.6%
London30.7%
Boston20.5%

Skills commonly paired with TensorFlow Lite

SQL (387)NoSQL (386)REST APIs (360)GitHub (354)Kotlin (276)Jetpack Compose (253)Android SDK (248)coroutines (242)Flow (241)Jetpack (192)

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How this was computed

Counts derive from the Skillenai jobs index over the 90 days ending 2026-09-30. Skills are resolved against the Skillenai canonical taxonomy, so the same entity is counted whether a posting writes 'Python', 'Python 3', or 'python'. Role prevalence divides postings mentioning TensorFlow Lite by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s TensorFlow Lite postings by all TensorFlow Lite postings, including postings without a role. Shares need not sum to 100% for the displayed roles. Pages refresh weekly (or daily for the top-50 most-requested skills). An adjusted trend is not shown because comparable posting coverage is insufficient.

source
Skillenai jobs index, deduplicated daily
entity_id
fbc6c5a3ca9564e5
data_as_of
2026-09-30
window_days
90
Hiring engineers who use TensorFlow Lite?

The demand, skills, and geo numbers on this page come from the same Skillenai labor market index that powers our API. Use it for compensation benchmarking, hiring-competition analysis, and skill-adoption tracking.

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Compiled by Jared Rand · Data sourced from the Skillenai labor market index