Senior Applied AI Engineer, GenAI, LLM Evaluation

Job not on LinkedIn

🕒 July 23

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

🇬🇧 UK Skilled Worker Visa Sponsor

This company has sponsored UK Skilled Worker visas in the past.

👻 Ghost score 25%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Ascent

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Ascent is a design-led data, software, and cloud company specializing in AI and advanced analytics. The company offers a range of services including digital experience engineering, data science, UX design, cloud solutions, and more. With a focus on innovation and technology advisory, Ascent helps customers drive digital transformation by modernizing and optimizing their data and software applications. Their team of engineers, architects, data scientists, and experience designers aims to empower businesses across various industries to develop scalable solutions, enhance customer experiences, and deliver significant business outcomes. Ascent collaborates with businesses in sectors such as insurance, healthcare, retail, and more, providing tailored solutions that meet specific needs and challenges.

📋 Description

• Build and maintain scalable data pipelines and workflows • Develop evaluation frameworks for GenAI and LLM applications • Create and maintain golden datasets for model testing • Evaluate and benchmark LLM performance • Build ML-assisted tools to improve delivery and automation • Deploy production-ready AI solutions • Work closely with delivery teams to solve technical challenges • Continuously improve data quality, automation, and operational efficiency

🎯 Requirements

• 5+ years' experience in Data Engineering, Machine Learning, AI Engineering, or Data Science • Strong Python and SQL skills • Hands-on experience with Generative AI and Large Language Models (LLMs) • Experience evaluating LLMs using golden datasets, model benchmarking, or LLM-as-a-Judge techniques • Experience building and deploying production-ready ML solutions • Strong understanding of data pipelines, validation, and quality frameworks • Experience integrating APIs and cloud-based AI services • Strong problem-solving and analytical skills • Comfortable owning solutions end-to-end • Excellent communication and stakeholder management • Experience working in Agile, cross-functional teams • Consulting or customer-facing experience is a plus

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