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Vamstar

Senior AI & Ab Initio Engineer UK

United Kingdom
Posted 1 day ago
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Senior AI & Ab Initio Engineer - Fintech AI

Location: UK only | Remote with few days onsite per month

Existing Clients: Large FinTech Company

Type: Full-time Contractor

Core responsibilities & objectives

  • Design, build, and migrate Ab Initio workflows to AWS Glue/PySpark.
  • Write production-grade, well-tested Python that processes large volumes of data and documents reliably.
  • Must have hands-on experience using AI coding tools (e.g., Claude) to generate PySpark / AWS Glue code and build test harnesses.
  • Own pipeline health: if data is stale, broken, or wrong, it's on you.
  • Work autonomously to project deadlines with minimal hand-holding.

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.

Key qualifications & skills (non-negotiable)

  • 7+ years in backend data-heavy development or data engineering.
  • Highly proficient in Python.
  • Production experience with Ab Initio deployments and cloud migrations.
  • Hands-on experience with large datasets and high-velocity data streams (Kafka, Flink, Spark).
  • Strong with pipeline orchestration tools (Airflow, MLflow, or equivalent).
  • Solid SQL skills (Postgres, Redshift, or Snowflake) and NoSQL experience (DynamoDB, OpenSearch, Elastic).
  • Real experience with LLM workflows: RAG architectures, embeddings/vector DBs, prompt engineering, function/tool calling, observability.
  • Deep understanding of ETL/ELT patterns and data processing at scale.

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Preferred background (strong signals)

  • Experience with AWS data stack at scale.
  • Exposure to financial services industries.
  • Built and shipped data, ML and LLM-powered pipelines in production.
  • Has debugged a pipeline and knows why observability matters.
  • Worked in a fast-moving startup where "that's not my job" doesn't exist.

Interested? We're a distributed team solving hard problems that will reshape the fintech industry. If you want ownership, not just tickets, we'd like to hear from you.

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Location

United Kingdom

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