101 to 105 of 105 Prompt Engineering Jobs in London

products across the company. You’ll own and evolve internal frameworks and services used by multiple product squads. You will establish best practices for prompt engineering, AI guardrails, and evaluation methodologies, ensuring safe deployment, monitoring, and iteration of AI applications. A strong focus on observability and cost efficiency ...

Description You lead the complete knowledge engineering scope on our most strategic and complex programs; lead creation of thought leadership, innovation, and assets for the discipline. You own how the most demanding programs formulate real-world problems into scalable AI and KG solutions, setting strategy and architecture … sales and in delivering data transformation programs and developing teams. Preferred Qualification Experience in practical NLP techniques and/or Search Techniques, prompt engineering. Experience with LLMs for enterprise‐scale applications. Hands‐on experience with cloud platforms (AWS, Azure, GCP). Experience in Python, with experience in frameworks like ...

scalable AI systems. Your work will empower business users to leverage GenAI within their planning workflows, demanding both deep ML knowledge and software engineering skills. The ideal candidate has extensive experience in AI and ML, with a strong understanding of LLMs and prompt engineering. Anaplan fosters a diverse ...

role, you will: Own Back‐End Infrastructure : Manage AWS services and workflow automation to support scalability. Collaborate with Teams : Work closely with product and engineering teams to meet project goals. Rapidly Ship Features : Deliver features efficiently to both users and internal teams. Evaluate Systems : Continually assess code and infrastructure … suggest potential solutions for challenges. Job Requirements To succeed as a Full Stack Engineer, candidates should have: Experience : At least 6 years in software engineering, particularly in a startup environment. Technical Skills : Proficiency in back‐end technologies, especially AWS, Kubernetes, NodeJS, and Typescript. Data Handling : Experience managing large datasets ...

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 ...