Plexus Resource Solutions
Senior AI/ML engineer

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Senior AI/ML Engineer
AI Infrastructure
Remote
$150k - $250k
Plexus is partnering with a venture-backed start-up building next-generation AI infrastructure. Their platform enables large language models to run reliably and efficiently at scale, with a strong focus on performance and security. It's a small, highly technical, fully remote team solving some of the hardest problems in production AI, and they're now moving into their next phase of growth.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
They are looking for a Senior AI/ML Engineer to help build and scale the core inference infrastructure underpinning their platform.
Role
- Developing and optimising ML inference pipelines at scale.
- Contributing to systems that ensure the integrity and reliability of model outputs.
- Integrating open-source models into the platform's API layer.
- Improving performance and reliability of distributed GPU infrastructure.


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Requirements
- 5+ years of experience in ML engineering or a related discipline.
- Strong background in model inference, optimisation and deployment.
- Familiarity with distributed systems and GPU compute environments.
- Experience working with open-source LLMs and modern API frameworks.
Benefits
- Competitive salary.
- Equity.
- Fully remote.
- Additional long-term incentives.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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