Harnham
Senior AI Engineer

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Senior AI Engineer - Remote
Join a growing AI team building production-grade machine learning and generative AI solutions that solve complex real-world challenges. This is an opportunity to combine AI research, engineering, and innovation in a highly autonomous role.
The Company
They are a technology business investing heavily in AI, with a focus on developing advanced machine learning, generative AI, and agentic systems. The environment is research-led, collaborative, and focused on turning cutting-edge ideas into scalable products.
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.
Start with a chat, not a search bar
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.
The Role
- Design and deploy machine learning, deep learning, and LLM-based solutions
- Build RAG pipelines, agentic AI systems, and model evaluation frameworks
- Work across the full AI lifecycle from problem definition to deployment
- Apply both classical ML techniques and modern AI approaches
- Use AI-assisted development tools such as Claude Code, Codex, or similar
- Help shape technical direction and mentor other engineers


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Your Skills & Experience
- Strong commercial experience across machine learning and generative AI
- Hands-on expertise with Python, PyTorch, Scikit-learn, and Hugging Face
- Experience building production AI systems and MLOps pipelines
- Practical use of AI coding assistants and agentic engineering workflows
- Ability to own projects independently from concept to delivery
- MSc required, PhD advantageous
Desired Skills and Experience
- Agentic AI, Claude Code
“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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