Primis
Artificial Intelligence Engineer

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Job Title: AI Engineer
Industry: Technology / Financial Services
Contract Duration: 6 months, likely extension
Location: Cambridge (hybrid, 2-3 days onsite)
Day Rate: £550- £650 per day (Inside IR35)
The Role:
- Design, build and deploy production-grade AI and generative AI features into live systems
- Work closely with product and engineering teams to translate business problems into deployable AI solutions
- Own model integration, evaluation and monitoring once features are live
- Collaborate with MLOps and platform teams to keep deployments reliable at scale
- Stay close to the latest LLM tooling and bring practical recommendations back to the team
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.
See breakdownIt searches the market for you
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.
Skills Needed:
- Strong hands-on experience building and shipping AI/ML features into production, not just prototypes
- Solid Python and experience with modern LLM frameworks and APIs
- Comfortable working in cloud environments (Azure, AWS or GCP)
- Experience with MLOps practices, model monitoring and evaluation
- Strong communication skills, able to work directly with non-technical stakeholders


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Research indicates that men will apply to a role when they meet only 50-60% of the requirements, while women and other underrepresented groups often look for a 90-100% match. If this role excites you but you don't tick every single box, please still apply. We'd love to hear from you.
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