๐Ÿšจ Senior Applied AI Scientist | Contract I'm currently working on an exciting contract opportunity for a Senior Applied AI Scientist to join a growing AI business, working on taking AI applications from proof of concept through to production. ๐Ÿ’ฐ Up to ยฃ700 a day- Ideally around the ยฃ600-ยฃ650 mark though! ๐Ÿ“„ Outside IR35 ๐Ÿ“… 6-month contract ๐ŸŒ Fully remote โšก ASAP start ๐ŸŽฏ 2-stage interview process The key requirement for this role is strong experience in AI evaluations and setting up evaluation frameworks. You'll be responsible for establishing how AI systems are measured, tested and improved, ensuring there is clear evidence behind the quality and reliability of the applications being built. What you'll be doing: ๐Ÿ”น Designing and building evaluation frameworks for LLM and RAG-based applications ๐Ÿ”น Defining metrics, benchmarks and acceptance criteria to determine whether an AI application is ready for production ๐Ÿ”น Building golden datasets and ground-truth benchmarks, working with subject matter experts to establish what good looks like ๐Ÿ”น Evaluating areas including retrieval precision, recall, groundedness, faithfulness and end-to-end answer quality ๐Ÿ”น Developing regression testing to ensure quality remains consistent as models, prompts and data evolve ๐Ÿ”น Working with LLM-as-a-judge methodologies, calibrated against human judgement ๐Ÿ”น Using evaluation results and production feedback to identify failure modes and continuously improve AI systems ๐Ÿ”น Taking AI applications from PoC through to production, establishing the evaluation gates and evidence required for release ๐Ÿ”น Working closely with engineers and AI specialists across LLMs, RAG, retrieval and knowledge graphs What we're looking for: Someone with a strong hands-on background in Applied AI / ML, particularly around evaluating and improving LLM-based systems. You should have experience with: ๐Ÿ”น LLMs and RAG ๐Ÿ”น AI/LLM evaluation methodologies ๐Ÿ”น Building evaluation frameworks from scratch ๐Ÿ”น Golden datasets and benchmark creation ๐Ÿ”น LLM-as-a-judge / human evaluation ๐Ÿ”น Retrieval evaluation and optimisation ๐Ÿ”น Productionising LLM applications ๐Ÿ”น Python and modern AI engineering practices Experience with tools such as Ragas, DeepEval, LangSmith or promptfoo would be highly beneficial. This is a great opportunity for someone who enjoys being responsible for proving whether AI actually works, rather than simply building the models themselves. If you have strong experience across LLM evaluations, RAG and evaluation frameworks and are available for an ASAP start, please apply below!

Job ref blurredText

Posted on blurredText

Last checked on blurredText

Closing on blurredText

0 comments
0 requirements

Discuss this job

Share your intel on this vacancy and help others - anonymously. Get notified automatically of new comments when starred or saved to Tracker.

My Private Notes

Saving private notes will automatically star the vacancy to your Jobs page.