Job Title: Applied ScientistJob DescriptionAs an Applied Scientist, you will engage in prompt engineering, evaluation, and fine-tuning of LLMs to enhance performance. This role offers an opportunity to work alongside a diverse and talented team in a collaborative environment.ResponsibilitiesUnderstand the stack and workflow from user query to response generation.Identify major challenges and quantify them.Conduct literature reviews on the latest academic and industry approaches.Prepare a one-pager outlining hypotheses, evaluation plans, and proposed solutions.Transition from research to implementation and evaluation.Participate in scrums, flight reviews, and experiment reviews.Balance research and engineering tasks, approximately 50% each.Essential SkillsSolid foundation in traditional machine learning principles.Familiarity with LLMs, GPTs, transformers, and deep learning concepts.Proficiency in Python and optimisation techniques.Ability to analyse and persist through failed experiments.Comfortable with technical discussions and concise business summaries.Additional Skills andamp; Qualifications Experience in AI, deep learning, research, and development.Why Work Here?Benefit from guided onboarding through tooling and stack, access to senior scientists for both technical and pastoral support, and a collaborative environment with regular reviews and consultations. Location Reading, UK Trading as TEKsystems. Allegis Group Limited, Bracknell, RG12 1RT, United Kingdom. No Allegi