IC Resources
Senior Machine Learning Engineer

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Job Opportunity at AI & Machine Learning Company
I’m working with a cutting-edge AI & Machine Learning company specialising in Robotics, Maritime and Rotorcraft. This is a team developing highly technical perception systems to convert environmental data into actionable insights with huge implications in emerging technologies. There are no passengers on this team, the mission always comes first and there’s no compromising on quality.
This is an exciting opportunity for a machine learning and/or computer vision engineer looking to join a team at the stage where their contribution shapes the companies impact.
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.
What They’re Looking For
- Strong background in machine learning and/or computer vision
- PhD preferred (Machine Learning, Computer Vision, Mathematics, Physics, or related field)
- Evidence of rigorous thinking through research, publications, or technically demanding projects
- Experience with model training, evaluation, and optimisation, including working with real-world datasets
- Familiarity with building or supporting ML pipelines, from experimentation through to deployment
- Understanding of performance trade-offs (e.g. speed vs accuracy vs robustness)
- Comfortable operating in a hands-on, high-ownership environment


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Why Consider It
- Early-stage company with strong growth potential
- Very competitive salary + equity
- High level of ownership and technical influence
- Opportunity to work on challenging, real-world vision problems
- Collaborative, high performing team environment
Please contact Chris Amison for more information.
“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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