101 to 104 of 104 Prompt Engineering Jobs in the UK excluding London

service levels Strong communication abilities, especially in simplifying technical concepts for non-technical users and collaborating across teams Tech-curious mindset, comfortable learning prompt engineering and system behaviour, with a process-driven approach to managing issues, QA, and feedback loops Familiarity with AI systems, natural language processing tools ...

team. Working knowledge of APIs, Agile delivery, and insurance administration systems; familiarity with low code automation, SaaS, and (bonus!) AI/prompt engineering. Nice to haves: risk/return assessment, web UIs, technical product management and testing methods, high EQ and negotiation skills. Benefits 25 days holiday + bank ...

Teaming: Lead adversarial campaigns to identify system gaps using automated frameworks and LLM-as-a-judge. System Alignment: Use Preference Tuning, automatic prompt optimization, and context engineering to align models with safety policies. Data Engineering: Query and manage complex datasets to produce high-quality training and benchmarking … Proven experience in adversarial testing and model alignment. Tech Stack: Strong Python , SQL , and Java . AI Specialist: Hands-on experience with LLMs and prompt engineering. Academic: MSc/PhD in AI/ML (Safety or Agentic systems focus preferred). This is an urgent vacancy with a deadline ...

OurclientisbuildingthemostadvancedAIplatformintheirmarket.Theyhelptheirclientsservecustomerswithunmatchedspeedandaccuracy. TheyveinvestedheavilyintobuildingtheMLstack,partneredwithleadinguniversities,andtrainedmodelsonmillionsofexpert-taggedimages.Now,theyrescalinggloballyandneedaworld-classLeadDataScientisttohelppushtheboundariesofcomputervision,videoanalysis,andmultimodalLLMswhilesolvingreal-worldchallenges. RoleOverview TheyarelookingforanexperiencedLeadDataScientisttospearheadmachine-learninginitiatives,withparticularfocusoncomputervision,largelanguagemodels,andproductionreadyMLpipelinesinAzure.Youwillactasthetechnicalleadfortheteam,settingdirection,guidingbestpractices,andensuringthesuccessfuldeliveryofhigh-impactAIsolutions. KeyResponsibilities Develop,train,anddeploycomputervisionmodels(objectdetection,imageclassification,segmentation,multi-modallearning) Fine-tune,evaluate,andproductionisemulti-modalLLMsforbusinessapplications. DriveexperimentationandprototypingofadvancedML ...