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Luffy AI
neuroplastic AI for real-time adaptive control of industrial motors and physical systems
- —
- BKRMCAEBC+3
- Abingdon (Culham Campus)
- AI
Open roles at Luffy AI
3 positions we're tracking, re-checked daily
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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- live
- +2h+2hrole spotted & verified1
- +4h+4hyou get the alert1
- day 3day 3you've applied~8
- day 7+day 7+hits the job boards250+
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
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.
Working at Luffy AI
Luffy AI is a AI company based in Abingdon (Culham Campus). For a AI company this size, the reality is 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
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.
Applying to Luffy AI? Get the contact, not the form.
The Luffy AI interview process
We don't yet have verified candidate reports for Luffy AI. What follows is the typical process for a -person AI company, so treat it as a model, not confirmed detail.
Interview stages
- 1
Recruiter Screen
Phone or video · 30 min
What it testsBasic qualification and logisticsUsually run byRecruiter or HR - 2
Hiring Manager Interview
Video call · 45 min
What it testsRole fit and experience deep-diveUsually run byHiring manager - 3
Technical/Functional Round
Video call · 60 min
What it testsSkills assessment and problem-solvingUsually run byTeam members - 4
Final Round
In-person or video · 60 min
What it testsCulture fit and cross-functional alignmentUsually run bySenior 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 14 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.
Luffy AI jobs, frequently asked questions
How many jobs does Luffy AI have open?
Luffy AI currently has 3 open roles, last verified October 2, 2026.
Does Luffy AI hire remotely?
Currently, Luffy AI only has in-office roles 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?
Expect 100-250 applicants in the first two weeks for AI roles at this size. Apply within 72 hours for best odds.
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.
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.
From $5.99/week, cancel any time.
- live
- +2h+2hrole spotted & verified1
- +4h+4hyou get the alert1
- day 3day 3you've applied~8
- day 7+day 7+hits the job boards250+
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