Oho Group
AI & Cybersecurity Engineer

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AI & Cybersecurity Engineer | Applied AI Security | R&D
An innovative technology team is looking for a highly technical engineer to work at the intersection of AI, machine learning, and cybersecurity, helping explore and solve emerging challenges created by the rapid adoption of intelligent technologies.
You’ll work on technically challenging problems across AI and security, investigating potential vulnerabilities, developing new approaches, and turning ideas into practical solutions. You’ll have the opportunity to work closely with experienced engineers and contribute to projects from early exploration through to implementation.
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 You’ll Do
- Investigate emerging security challenges across AI and machine learning
- Explore vulnerabilities, threats, and potential attack scenarios
- Develop and evaluate approaches to improve the security and resilience of AI systems
- Build prototypes and proof-of-concepts to test new ideas
- Apply machine learning and software engineering techniques to security problems
- Work collaboratively with engineers and technical stakeholders to develop practical solutions
- Contribute to technical thinking around the future of AI security
What You’ll Bring
- Strong software engineering and machine learning fundamentals
- Commercial, academic, or research experience with AI/ML
- Understanding of cybersecurity concepts, threats, or attack techniques
- Experience developing technical prototypes or proof-of-concepts
- Strong Python or equivalent programming experience
- Ability to investigate unfamiliar technical problems and develop creative solutions
- Strong analytical and problem-solving skills
- Excellent communication and collaboration skills


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Experience across areas such as adversarial machine learning, application security, cloud security, threat modelling, secure AI, vulnerability research, or security testing would be advantageous.
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