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

As of 2026-09-28, TensorFlow Lite appears in 428 job postings indexed by Skillenai over the past 90 days — Android Software Engineer has the most postings mentioning TensorFlow Lite, with demand down 17% vs the prior 4 weeks.

Last updated · 90d ending 2026-09-28

Postings · last 90 days
428
Demand vs prior month
down 17% vs the prior 4 weeks
Top role · 25.9% of skill postings
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 428 job postings indexed by Skillenai over the 90 days ending 2026-09-28, with demand down 17% vs the prior 4 weeks. 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 2026-09-28, among roles with at least 20 postings, the highest shares mentioning TensorFlow Lite are Mobile Application Developer (80.9% of that role’s postings mention TensorFlow Lite), iOS Software Engineer (59.8% of that role’s postings mention TensorFlow Lite), Android Software Engineer (59.0% 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 2026-09-28), TensorFlow Lite most often appears alongside SQL, NoSQL, REST APIs, GitHub, Kotlin.

+Where is TensorFlow Lite most in demand?

As of 2026-09-28, 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.

Weekly job postings requiring TensorFlow Lite — last 90 days

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 Developer3880.9%
iOS Software Engineer7659.8%
Android Software Engineer11159.0%
Mobile Software Engineer1417.7%
Mobile Developer2515.7%
Android Engineer4212.0%
Android Developer176.6%
iOS Developer145.4%
ML Researcher13.1%
Mobile Engineer92.6%

Roles with the most TensorFlow Lite postings

RolePostings mentioning skillShare of skill postings
Android Software Engineer11125.9%
iOS Software Engineer7617.8%
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 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

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How this was computed

Counts derive from the Skillenai jobs index over the 90 days ending 2026-09-28. 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).

source
Skillenai jobs index, deduplicated daily
entity_id
fbc6c5a3ca9564e5
data_as_of
2026-09-28
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