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Luffy AI

neuroplastic AI for real-time adaptive control of industrial motors and physical systems

3 open rolesSeries A · £8.1M (~$10.8M)50+ peopleAbingdon (Culham Campus)

Last verified August 17, 2026 · Updated daily

What Luffy AI is building

Luffy builds what it calls neuroplastic AI: sparse neural networks trained in simulation — no large training datasets required — then refined against the real machine, where the company claims up to 400x greater efficiency than conventional deep learning. The models are small enough to embed in existing hardware and self-refine from live feedback, so there's no cloud dependency or constant retraining. First target: the electric motor. Around half the world's electricity is consumed by electric motors, most running inefficiently, and Luffy is deploying its Adaptive Neural Controllers into motor control and variable-frequency-drive applications — industrial pumps, fans, conveyors — so a motor can tune itself to its load in the field. Longer term, the same stack targets positioning control for robotics and drones, thermal process control, and broader physical AI.

Why this matters

The AI boom has mostly stepped around the factory floor because LLM-style approaches need data, compute, and connectivity that a pump or conveyor doesn't have. Luffy attacks exactly that gap, and BGF's investor framed it as disrupting an industry norm that has stood for a hundred years — replacing specialist commissioning engineers with self-commissioning control. The founders, Dr Matthew Carr (CEO) and Dr Alex Meakins, are former nuclear physicists from the UK Atomic Energy Authority, and the company sits on the Culham fusion campus — deep technical credibility for a control-systems problem. The syndicate mixes UK growth capital (BGF) with Munich deep-tech money (MIG Capital AG), which matters for landing German industrial customers. With energy efficiency regulation tightening and electricity demand spiking, plug-and-play efficient motor control has a real commercial 'why now'.

Investors: BGF (Kate Ronayne) lead, MIG Capital AG (via MIG Fonds), existing: Bow Capital, Chrysalix, Momenta, UKI2S

Open roles at Luffy AI

3 positions we're tracking. Roles are re-checked daily and removed when filled.

Machine Learning / Controls Engineer

Abingdon (Culham Campus)·Mid-level

First seen last month

Apply →

Embedded Software Engineer

Abingdon (Culham Campus)·Mid-level

First seen last month

Apply →

Industrial Business Development Manager

Abingdon (Culham Campus)·Mid-level

First seen last month

Apply →
Live · tracking Luffy AILast checked August 17, 2026

Know when Luffy AI is hiring before anyone else

A role stays uncontested for about four days. Here's the window — and where we put you in it.

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Watching Luffy AI

0 applicants

Role spotted & verified

1

You get the alert

1

You've applied

~8

Hits the job boards

250+

Hiring outlook

The round is explicitly earmarked for moving proofs-of-concept and pilots into significant partnerships with major industrial brands — a commercialization push that means deployment engineering and industrial BD hires, plus continued core ML work. UK deeptech at this size hires deliberately and founder-led; expect a small number of high-leverage roles rather than a headcount blitz, which makes early direct outreach disproportionately effective.

Hiring intensity: 6/8

Working at Luffy AI

Luffy AI: neuroplastic AI for real-time adaptive control of industrial motors and physical systems. Founded 2019, currently employees. At this stage, expect opportunity to shape your role based on the company stage.

Most Luffy AI jobs are based in Abingdon (Culham Campus).

How to actually get hired at Luffy AI

Why applying the normal way doesn't work

Luffy AI has an ATS but the real pipeline is referrals → sourced → recruiter picks → cold apps. You can still get through, but know where you stand.

Who to contact at Luffy AI

Who decides:the hiring manager
Best channel:LinkedIn or direct email

What to show them

Experience where ML meets control: sim-to-real transfer, reinforcement learning for control, sparse/efficient networks, or classical control theory (PID, MPC) you've augmented with learning. Publications or projects on adaptive control beat generic deep-learning portfolios. Core skills: control systems, simulation, ML for dynamical systems, Python/C++.

A cold email that works at Luffy AI

Subject: Machine Learning / Controls Engineer, [your one-line proof]
Matthew — training in simulation and refining on the physical machine is the honest version of sim-to-real that most robotics teams fudge. I've worked on [adaptive control / sim-to-real project] at [company/lab], and with the Series A pushing pilots into production I'd love to help harden the control stack. Worth 15 minutes?

What Luffy AI screens for

A physics-heavy team with working pilots just took commercialization money from investors on both sides of the UK–Germany industrial corridor. The gap between 'pilot' and 'rollout' is where they'll need deployment engineers and industrial BD people they don't have yet — and almost nobody outside UK deeptech circles is watching this company.

Don't send a generic CV to Luffy AI. Mirror the job posting's language to get past automated screening.

Don't make these mistakes

Don't lead with LLM or generative-AI credentials — the founders explicitly position against cloud-dependent, data-hungry AI, and Carr's whole pitch is that industry needs something different. Talk control theory, embedded systems, simulation-to-real transfer, or industrial sales cycles, not chatbots.

Mistakes that kill Luffy AI applications

At people, a copy-paste CV is immediately obvious. It's an instant no.

Lead with their problem, not your ambition. Luffy AI is focused on The AI boom has mostly stepped around the factory floor because LLM-style approaches need data, compute, and connectivity that a pump or conveyor doesn't have — show you understand that.

Don't apply and wait. The median AI application gets no response ever. One follow-up at day five roughly doubles reply rates.

Live · tracking Luffy AI

Applying to Luffy AI? Get the contact, not the form.

The Luffy AI interview process

4 stages · 14 days typical · take-home: yes · modelled from similar companies

We don't yet have verified candidate reports for Luffy AI. What follows is the typical process for a -person AI company — treat it as a model, not confirmed detail.

Interview stages

1

Recruiter Screen

Phone or video · 30 min

What it tests:

Basic qualification and logistics

Usually run by:

Recruiter or HR

2

Hiring Manager Interview

Video call · 45 min

What it tests:

Role fit and experience deep-dive

Usually run by:

Hiring manager

3

Technical/Functional Round

Video call · 60 min

What it tests:

Skills assessment and problem-solving

Usually run by:

Team members

4

Final Round

In-person or video · 60 min

What it tests:

Culture fit and cross-functional alignment

Usually run by:

Senior leadership

Luffy AI take-home assignment

Luffy AI includes a take-home exercise in their interview process. For AI roles, this typically involves a practical problem that takes 2-4 hours. Focus on clean, working code over premature optimization. They're evaluating how you think and communicate, not just the solution.

Luffy AI interview timeline

At days, Luffy AI's process is about average than typical for AI (14 days at this size).

Interviewed at Luffy AI?

Tell us how it went — stages, questions, timeline. Takes 90 seconds and it's how this page stays accurate for the next person.

Submit your Luffy AI interview experience →

Luffy AI jobs, frequently asked questions

How many jobs does Luffy AI have open?

Luffy AI currently has 3 open roles, last verified July 2026.

Does Luffy AI hire remotely?

All current Luffy AI roles are based in Abingdon (Culham Campus).

What roles is Luffy AI hiring for?

Luffy AI is hiring across Engineering, Product. The most recent opening is Machine Learning / Controls Engineer.

How do I apply for a job at Luffy AI?

Apply directly through the links above, or read our guide on how to actually get hired at Luffy AI.

Does Luffy AI respond to cold emails?

We're still collecting cold email data for Luffy AI.

Who is the hiring manager at Luffy AI?

At this size, hiring is usually run by the hiring manager.

How competitive is it to get hired at Luffy AI?

-person AI companies see ~100-250 applicants per role in two weeks. The 72-hour window is your advantage.

How many rounds is the Luffy AI interview?

4 stages: Recruiter Screen, Hiring Manager Interview, Technical/Functional Round, Final Round.

Is the Luffy AI interview hard?

It concentrates on technical depth and system design rather than abstract puzzles. The stage candidates find hardest is Technical Interview.

Does Luffy AI give a take-home task?

Yes, Luffy AI includes a take-home assignment.

How long does Luffy AI take to get back to you?

Around 14 days across the full process.

What should I prepare for the Luffy AI interview?

Study technical depth and system design. At this size (), they care about self-sufficiency over textbook knowledge.

Where is Luffy AI based?

Luffy AI is headquartered in Abingdon (Culham Campus), US.

Live · tracking Luffy AILast checked August 17, 2026

Get Luffy AI roles before they're posted

A role stays uncontested for about four days. Here's the window — and where we put you in it.

Notify me when Luffy AI hires

From $9/month, cancel any time.

live+2h+4hday 3day 7+

Watching Luffy AI

0 applicants

Role spotted & verified

1

You get the alert

1

You've applied

~8

Hits the job boards

250+

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