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Insight International (UK) Ltd

Artificial Intelligence Engineer

Manchester
Posted about 22 hours ago
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Role: Senior AI/ML Engineer

Location: Manchester, UK
Type: Contract inside IR35
Mode: Hybrid (2 days per week onsite)
Domain: Banking

Core Engineering

  • Strong production Python engineering
  • API development
  • Automated testing
  • Asynchronous or distributed service patterns

Deep Learning

  • Hands-on PyTorch experience
  • Strong understanding of transformer architecture, inference, and model evaluation

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.

Agentic AI

  • Experience with ReAct or comparable agent patterns
  • Tool calling, memory, reasoning, and orchestration

RAG & Retrieval

  • Production RAG
  • Embeddings, chunking, indexing, vector search, retrieval/ranking, and grounding techniques

Google Cloud

  • GCP knowledge with Vertex AI
  • Cloud compute/storage and cloud databases
  • GKE experience is advantageous

Containers & Serving

  • Docker plus model packaging and serving
  • Using KServe, Vertex AI endpoints, or equivalent Kubernetes-native platforms

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MLOps Lifecycle

  • Feature/model registries
  • CI/CD
  • Continuous training
  • Model monitoring
  • Version management and drift detection

Scale & Release

  • Cost-efficient autoscaling
  • GPU scheduling
  • Canary and shadow deployment
  • Rollback strategies and A/B testing
Trusted by 25,000+ job seekers

“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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Location

Manchester, England, United Kingdom

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