Skip to main content

Language

Live marketplace snapshot

Updated on each visit

Employer-posted

Member profiles

GGanloss

Proof-first AI hiring for LLM and ML teams — 447 open roles, 0 member profiles, hiring across 43 countries.

Find jobs Find talent Post jobs

Registered office

1 Place des Saisons
92400 Courbevoie
France

Language

Talent

For job seekers Open roles Create account Talent sign in

Employers

Employer hub Find talent Post a job Employer sign in

Product

Home How it works About the platform Hire AI talent AI jobs AI hiring toolkit AI interview templates LLM evaluation scorecards Machine learning hiring guide AI hiring guide Blog AI news AI schools

Discover

Search profiles Job collection hubs Talent collection hubs Skills & stack hubs Companies hiring AI Hiring comparisons AI schools by country Explore by stack (home)

Legal

Contact Privacy Terms

Newsletter

Occasional updates from Ganloss

Guides, product changes, and hiring signal—choose talent or employer emails (or both). Unsubscribe anytime.

Newsletter for talent

Product tips, new job board features, and AI career resources—occasional email, unsubscribe anytime.

Email for newsletter

I agree to receive occasional emails about Ganloss and accept the privacy policy.

© 2026 Ganloss — speed and clarity for AI hiring.

Contact Privacy Terms About the platform

Language

Language

Language

ML Engineer — edge inference

AI role · Open offer

ML Engineer — edge inference

ARM

Full-time
Senior
ML on ARM
Hybrid
110 Fulbourn Road, Cambridge, England CB1 9NJ, United Kingdom · Hybrid
Cambridge, United Kingdom
£85k–£115k + bonus

This listing is optimized for AI-native talent: clear skills and tools so candidates know if they fit before they apply—and so you spend less time screening mismatches.

3 skills1 tool

Apply now Find matching talent

Share this role

At a glance

How you'll work, where, and key listing dates.

Employment: Full-time
Workplace: Hybrid
Location: 110 Fulbourn Road, Cambridge, England CB1 9NJ, United Kingdom · Hybrid
Compensation: £85k–£115k + bonus
Experience level: Senior
Team: ML on ARM
Benefits & perks: Flexible hours, Cambridge campus.
How to apply: On-device ML optimisation example.
Company site: www.arm.com
Listed: Jul 8, 2026
Updated: Aug 3, 2026

About this role

What the team is looking for and how this position fits.

ARM is hiring a Senior ML Engineer — edge inference on the ML on ARM team (Hybrid · Cambridge, United Kingdom). This is a hands-on role in LLM & generative AI—not a generic “AI enthusiast” post.

You will own LLM features, retrieval, agents, and evaluation end to end: problem framing, offline evaluation, safe rollout, and iteration from production signals. Success is measured with clear metrics (quality, latency, cost, or business KPIs)—not slide decks alone.

ARM designs CPUs and NPUs used in billions of edge devices. Cambridge teams optimise ML for efficient inference.

ML Engineer: quantization, ONNX/ExecuTorch paths, and partner enablement for on-device AI.

What you will do

Deliver production-grade edge ML and efficient inference with measurable quality, latency, and cost targets.
Build offline evals and online monitoring before scaling to full traffic.
Collaborate with product, design, legal, or domain experts on safe rollout.
Write clear RFCs, runbooks, and postmortems for cross-team learning.

What we look for

Multiple shipped ML/LLM features—not coursework-only portfolios.
Strong Python, SQL, and experimentation discipline.
Clear communication for remote or hybrid stakeholders.
Work authorization for the listed country.

Skills we're hiring for

What each capability means for this role—not a keyword checklist.

Python
Production Python for data pipelines, model code, APIs, and automated tests—not notebook-only workflows.
PyTorch
Training and inference with PyTorch: reproducible experiments, checkpointing, and deployment-minded exports.
TensorFlow
Practical TensorFlow experience applied to LLM features, retrieval, agents, and evaluation in production or rigorous pilots.

Tools & stack

Platforms and products mentioned for this role (APIs, IDEs, vector DBs, CRMs, design tools, etc.).

DockerTool
Containerized services and reproducible dev environments for ML and LLM workloads.

You're a strong fit if…

Tailored to this listing—use it as a self-check before you apply.

You can show evidence in your application: On-device ML optimisation example.
Several of these show up in recent shipped work—not only on your CV: Python, PyTorch, TensorFlow, and Docker.
You have owned LLM features, retrieval, agents, and evaluation in production: debugging live issues, running postmortems, and iterating from real user or business signals.
You are comfortable with the hybrid rhythm (Hybrid · Cambridge, United Kingdom)—onsite collaboration when it matters, deep work when remote.
You explain trade-offs (quality, cost, latency, safety) in plain language—with numbers or examples, not buzzwords.
You read the full listing (comp: £85k–£115k + bonus, benefits in At a glance) and your expectations align.

Apply

Candidate accounts only: add your headline and bio on My account, and optionally a CV link or PDF so recruiters see your full résumé. Then write a short pitch below—applications use your login email.

What the employer asked for

On-device ML optimisation example.

Sign in with a candidate account to apply

Register, add a headline and bio, then you can attach a CV link or PDF on My account before you apply. That keeps applications tied to your profile and makes it easier for employers to review your background.

Sign in Create candidate account

Suggested

AI talent you may also like

Profiles ranked by overlap with this role's skills and tools—handy if you're hiring for a team or comparing backup candidates.

No close matches in the directory yet—try Find talent with your own filters.

Similar open roles

Other listings that share skills or tools with this one—useful if you want comparable stacks or backup options.

ML Engineer — marketing AI
Appier
Full-time
Senior
AdTech ML
Hybrid
80 Pasir Panjang Road, Singapore, SG 117372, Singapore · Hybrid
Singapore, Singapore
SGD 110k–160k/year + equity
Listed Jul 20, 2026
ML Engineer — edge & on-device inference
Front Range Edge AI
Full-time
Senior
Edge ML
Hybrid
Denver, CO, United States · Hybrid
Denver, United States
$145k–$185k + equity
Voice AI Engineer — ASR/TTS production
Paris · 500-1000 employees · Scale-up · GenAI: Partial
Full-time
Senior
Conversational AI
Hybrid
Dublin, Ireland · Hybrid
€90k–€118k
ML Engineer — On-device & Edge AI
Paris · 100-300 employees · Scale-up · GenAI: No
Full-time
Senior
Mobile intelligence
Hybrid
Stockholm, Sweden · Hybrid
650k–850k SEK
AR
Freelance Computer Vision Engineer — inspection & QC
AndesVision Robotics
Freelance
Senior
Vision systems
Remote
Latin America · Remote
São Paulo, Brazil
USD 80-120/hr contract
Listed Apr 21, 2026Updated Aug 3, 2026
AndesVision — Short projects: defect detection, pose estimation, edge deployment on NVIDIA Jetson.Remote LATAM; Spanish/English bilingual preferred.

Browse all open roles →

All open roles·For job seekers

Employer

ARM

Marketplace

Posted on Ganloss

6

Browse jobs →

Member profiles

0

Find AI talent →

Early community—real member accounts with proof-first profiles, not demo seed listings.

This role

Title

ML Engineer — edge inference

Why Ganloss?

Built for teams hiring people who work with AI, not only around it.

Candidates see skills and tools upfront; you get structured applications in one dashboard.

List your role

Reach AI practitioners browsing open roles with proof-first expectations.

Market index

Updated Aug 3, 2026

Appier is a NASDAQ-listed marketing AI company headquartered in Singapore.ML Engineer: CTR/CVR models, uplift, and GenAI creative with brand safety.MissionsTrain and serve models on cross-device advertising data.Guardrails for automated ad copy and image variants.Stack & environmentPython,…

Perks · NASDAQ-listed, hybrid one-north corridor, APAC clients.

PythonPyTorchSQLMachine Learning

ToolsTensorFlowDocker

View role

Listed May 24, 2026Updated Aug 3, 2026

Front Range Edge AI helps hardware and wellness partners ship on-device models with strict battery, thermal, and privacy budgets. We sit at the intersection of quantisation, DSPs, and mobile OS constraints.Join us in Denver (hybrid) as an ML Engineer focused on edge deployment and metrics.What you…

Perks · Outdoor lifestyle stipend, remote Fridays.

PythonTensorFlowPyTorch

ToolsDocker

View role

Insurance AI

Listed May 4, 2026Updated Aug 3, 2026

Dublin-based team ships voice experiences for enterprise contact centres—streaming ASR, barge-in, and low-latency TTS with strict SLAs. You bridge research prototypes and hardened services.Hybrid with flexible remote weeks across EU time zones.What you will doOptimise inference graphs for real-time…

Perks · Stock purchase plan, commuter, wellness stipend.

PythonPyTorchTensorFlow

ToolsDocker

View role

Vision AI

Listed Apr 26, 2026Updated Aug 3, 2026

Stockholm hardware-software team ships perception models to Nordic mobility and robotics OEMs. Battery, thermal, and safety constraints dominate every design review.Hybrid; Swedish work authorisation or EU mobility required.What you will doQuantise, prune, and validate models for ARM SoC and MCU…

Perks · Parental allowance, pension.

PythonTensorFlowPyTorch

ToolsDocker

View role

Perks · Hardware stipend for Jetson kit on long projects.

PythonPyTorchTensorFlowDocker

ToolsAWS

View role

ML Engineer — marketing AI — Appier

Market index

ML Engineer — edge & on-device inference — Front Range Edge AI

Market index

Voice AI Engineer — ASR/TTS production — Shift Technology

Market index

Shift TechnologyTeam

ML Engineer — On-device & Edge AI — Deepomatic

Market index

Freelance Computer Vision Engineer — inspection & QC — AndesVision Robotics

Market index