AI role · Open offer

AI Program Manager — edge ML portfolio

ARM

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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: £95k–125k/year + bonus
Experience level: Lead
Team: AI programs
Benefits & perks

About this role

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

ARM is hiring a Lead AI Program Manager — edge ML portfolio on the AI programs team (Hybrid · Cambridge, United Kingdom). This is a hands-on role in risk & decision ML—not a generic “AI enthusiast” post.

You will own real-time scoring, monitoring, and governance 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 enables on-device ML for billions of chips. AI Program Manager coordinates edge-AI initiatives across hardware, software, and partner teams.

Hybrid Cambridge: portfolio view across multiple concurrent ML programs.

What you will do

Maintain program roadmaps with hardware milestone alignment.
Report status to leadership on risk, scope, and resourcing.
Facilitate cross-site collaboration with US and EU teams.

Stack & environment

Embedded ML toolchains, hybrid Cambridge Fulbourn Road.

What we look for

Lead PM on hardware/software programs.
ML familiarity required.

Skills we're hiring for

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

PyTorch
Training and inference with PyTorch: reproducible experiments, checkpointing, and deployment-minded exports.
Machine Learning
Practical Machine Learning experience applied to real-time scoring, monitoring, and governance in production or rigorous pilots.
Project Management

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: Portfolio of edge-AI initiatives with milestone tracking across hardware teams.
Several of these show up in recent shipped work—not only on your CV: PyTorch, Machine Learning, Project Management, and Docker.
You have led risk & decision ML initiatives across teams—setting technical direction, review standards, and rollout plans others could follow.
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.

Apply

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What the employer asked for

Portfolio of edge-AI initiatives with milestone tracking across hardware teams.

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.

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