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NLP Engineer
Senior NLP Engineer
This is a high-impact Senior NLP Engineer role where you will work on complex, real-world communication data at scale. You will own NLP and LLM-driven products end to end, helping shape how AI is used to detect and manage risk across large enterprise environments.
The Company
We are an AI-driven technology business operating within compliance and security for enterprise communications. Our platform processes large volumes of multi-modal data across collaboration tools to help organisations meet regulatory requirements. The business is well established, backed by major investors, and recognised for its innovation in applied AI. You will join a collaborative and experienced engineering and data science team with strong ownership and autonomy.
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.
The Role
- Own NLP and AI solutions from data ingestion through to production deployment
- Build and improve models that process text, voice, video, and image data
- Develop and apply LLMs for risk detection and product features
- Design scalable pipelines for high-volume, real-time data processing
- Partner with product and engineering teams to deliver impactful solutions


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Your Skills and Experience
- Strong commercial experience in NLP and machine learning, including production systems
- Hands-on experience with LLMs and modern AI techniques alongside classical ML
- Solid Python and software engineering fundamentals
- Experience working with unstructured, real-world data at scale
- Ability to work cross-functionally and communicate technical concepts clearly
“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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