GIOS Technology
Machine Learning Engineer – LLM Applications / Banking Sector
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer specializing in LLM applications within the banking sector, based in Sheffield. It offers a hybrid schedule, requires strong Python and data engineering skills, and emphasizes experience with ETL pipelines and AI validation.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
May 9, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Sheffield, England, United Kingdom
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🧠 - Skills detailed
#Data Quality #Data Pipeline #ML (Machine Learning) #"ETL (Extract #Transform #Load)" #SQL (Structured Query Language) #Cloud #AWS (Amazon Web Services) #Python #REST (Representational State Transfer) #REST API #Data Engineering #AI (Artificial Intelligence) #Datasets
Role 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
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
