Machine Learning Engineer – LLM Applications / Banking Sector

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I am hiring for Machine Learning Engineer – LLM Applications / Banking Sector

Location: Sheffield – Hybrid / 3 days Per week in Office

Required Skills & Qualifications

  • Strong proficiency in Python and data engineering concepts.
  • Hands‑on experience building ETL/data pipelines for both structured and unstructured datasets.
  • Understanding of LLM evaluation methodologies, experimentation frameworks, and model performance metrics.
  • Experience validating AI/LLM outputs and running data quality assessments.
  • Familiarity with SQL, REST APIs, and cloud-based data platforms.
  • Experience with AWS (preferred)

Preferred Qualifications

  • Experience working with enterprise knowledge management systems and ticketing datasets.
  • Familiarity with fine‑tuning LLMs, reranking models, or search relevance optimization techniques.
  • Exposure to AI support systems, conversational AI, or enterprise helpdesk platforms.

Key Skills

  • ETL/data pipelines
  • AI
  • LLM
  • Data quality assessments
  • Fine‑tuning
  • Banking

Company

GIOS Technology

Level of experience

Senior (5+ years of experience)

#J-18808-Ljbffr”, “datePosted”: “2026-05-21”, “hiringOrganization”: { “@type”: “Organization”, “name”: “NLP PEOPLE”, “sameAs”: “https://uk.whatjobs.com/pub_api__cpl__438882286__4861?utm_campaign=publisher&utm_medium=api&utm_source=4861&geoID=901” }, “jobLocation”: { “@type”: “Place”, “address”: { “@type”: “PostalAddress”, “addressLocality”: “Sheffield” } } }
Company: NLP PEOPLE
Apply for the Machine Learning Engineer – LLM Applications / Banking Sector
Location: Sheffield
Job Description:

I am hiring for Machine Learning Engineer – LLM Applications / Banking Sector

Location: Sheffield – Hybrid / 3 days Per week in Office

Required Skills & Qualifications

  • Strong proficiency in Python and data engineering concepts.
  • Hands‑on experience building ETL/data pipelines for both structured and unstructured datasets.
  • Understanding of LLM evaluation methodologies, experimentation frameworks, and model performance metrics.
  • Experience validating AI/LLM outputs and running data quality assessments.
  • Familiarity with SQL, REST APIs, and cloud-based data platforms.
  • Experience with AWS (preferred)

Preferred Qualifications

  • Experience working with enterprise knowledge management systems and ticketing datasets.
  • Familiarity with fine‑tuning LLMs, reranking models, or search relevance optimization techniques.
  • Exposure to AI support systems, conversational AI, or enterprise helpdesk platforms.

Key Skills

  • ETL/data pipelines
  • AI
  • LLM
  • Data quality assessments
  • Fine‑tuning
  • Banking

Company

GIOS Technology

Level of experience

Senior (5+ years of experience)

#J-18808-Ljbffr…

Posted: May 21st, 2026