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Conquer AI

Machine Learning Engineer

United Kingdom
Posted about 17 hours ago
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AI/ML Engineer

Fully remote, global. Any time zone. Fluent English required.


Conquer AI deploys production-ready AI systems for FTSE 100, FTSE 250, and Fortune 500 clients. We're scaling fast. Every client programme needs someone who can build the model, ship it, and keep it running once real people depend on it.

The Reality of This Role

This isn't a notebook full of experiments. What you build has to run inside a live enterprise environment, under load, with a client watching the outcome rather than the code. You'll build and fine-tune models, design RAG pipelines, and get agentic systems from a working demo to something that holds up in production. When it breaks at 2 am in a client's time zone, you're the one who understands why.

What You'll Own

  • Design and development of LLM and ML systems for client deployments
  • RAG pipelines, vector search, and retrieval architecture
  • Fine-tuning and evaluation of models against real production data
  • Deployment, monitoring, and reliability once a model is live
  • Agent architectures that go from proof of concept to dependable production systems
  • Technical input into what's realistic to promise a client, and what isn't

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.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your 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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It 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.

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Strong

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.

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Strong

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.

Who You Are

  • You've shipped models to production, not just built them in a notebook
  • Strong in Python, plus PyTorch or TensorFlow
  • Hands-on with RAG, vector databases (Pinecone, Weaviate, Milvus, or pgvector), and orchestration frameworks like LangChain or LlamaIndex
  • Comfortable with the production stack: Docker, Kubernetes, CI/CD, model serving, and monitoring
  • Experience with at least one major cloud ML platform (AWS SageMaker, Azure ML, or Google Vertex AI)
  • Fluent English, comfortable working async across a globally distributed team

Where You're Coming From

AI Engineer, ML Engineer, or Applied Scientist at a scale-up, tech giant, or AI consultancy. You've built things that worked in a demo. Now you want to build things that hold up in front of a board.

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What We're Offering

  • Real production ownership on live enterprise AI systems, not pilots
  • Fully remote, work from anywhere, any time zone
  • Direct exposure to FTSE 100, FTSE 250, and Fortune 500 clients
  • Competitive package to include equity

If you'd rather ship something real than polish another prototype, we should talk. Message me, Farah, directly or apply.


PLEASE NOTE I personally review every CV, message, and email I receive regarding our vacancies. While I read each one carefully, I'm unable to reply to everyone individually due to the volume of applications. Thank you for taking the time to apply and for your interest in working with us. Your effort is genuinely appreciated.

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Skills

Python
PyTorch
TensorFlow
RAG
Vector Databases
Pinecone
Weaviate
Milvus
pgvector
LangChain
LlamaIndex
Docker
Kubernetes
CI/CD
Model Serving
Monitoring

Location

United Kingdom

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