Whitehall Resources

Machine Learning Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer on a 5-month contract, hybrid in South Yorkshire. Key skills include Python, data engineering, vector databases, and ETL pipelines. Experience with enterprise knowledge systems and LLM evaluation is preferred.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
May 12, 2026
🕒 - Duration
3 to 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Inside IR35
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🔒 - Security
Unknown
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📍 - Location detailed
South Yorkshire, England, United Kingdom
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🧠 - Skills detailed
#ML (Machine Learning) #Data Pipeline #Databases #AI (Artificial Intelligence) #"ETL (Extract #Transform #Load)" #Datasets #AWS (Amazon Web Services) #Cloud #GCP (Google Cloud Platform) #Indexing #SQL (Structured Query Language) #Python #Data Quality #Data Engineering
Role description
Machine Learning Engineer Whitehall Resources are looking for a Machine Learning Engineer. This role is hybrid working with 3 days per week onsite in South Yorkshire, and the remainder remote working, for an initial 5-month contract. • • • Inside IR35 • • • Job Description: Build the knowledge, retrieval, and evaluation layer that allows the AI helpdesk to answer accurately and safely. Key Responsibilities: - Build and maintain data pipelines for IT knowledge articles, SOPs, ticket history, and troubleshooting content. - Develop RAG pipelines, embeddings, indexing, and retrieval optimization. - Improve answer quality using chunking, ranking, filtering, and grounding techniques. - Create evaluation datasets and automated quality tests for accuracy, hallucination, and task completion. - Support model selection, tuning, and performance benchmarking. - Work with engineering teams to improve response quality and reduce failure rates. Required skill: - Strong Python and data engineering skills. - Run data quality testing, verify LLM results etc - Experience with vector databases, embeddings, and retrieval systems. - Experience building ETL/data pipelines for structured and unstructured data. - Understanding of LLM evaluation, experimentation, and model performance metrics. - Familiarity with SQL, APIs, and cloud data platforms. - AWS (preferred), GCP exposure. Preferred: - Experience with enterprise knowledge systems and ticket datasets. - Experience with fine-tuning, reranking, or search relevance optimization.