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CodeVerse

Senior AI Engineer – Machine Learning & Computer Vision

London
Posted about 17 hours ago
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Senior AI Engineer – Machine Learning & Computer Vision

No Sponsorship is available | Inside IR35 Only | 6 months contract | Hybrid - west London 3 days a week travel

We’re looking for an experienced Senior AI Engineer to build and deploy cutting-edge AI solutions using Machine Learning, Computer Vision, Deep Learning, and Generative AI. Someone passionate about building scalable, high-performance AI solutions and taking models from experimentation to production.

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.

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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

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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.

Key Responsibilities

  • Develop and optimise LLMs, Generative AI solutions, and AI workflows.
  • Build and deploy scalable Machine Learning and Computer Vision models.
  • Work with multimodal embeddings, vision-language models, and image processing.
  • Implement RAG, prompt engineering, and model fine-tuning.
  • Apply MLOps practices, CI/CD, model monitoring, and performance optimisation.
  • Collaborate with product and cloud teams to deliver production-ready AI solutions.

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Required Skills

  • Strong Python programming skills.
  • Hands-on experience with PyTorch, TensorFlow, and/or Hugging Face.
  • Experience in Computer Vision, Deep Learning, and multimodal AI.
  • Knowledge of LLMs, RAG, Generative AI, and model fine-tuning.
  • Experience deploying ML models into production and implementing MLOps practices.

📩 Interested? Apply now and be part of the next generation of AI innovation!

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“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.”

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Location

London, England, United Kingdom

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