176 to 187 of 187 Prompt Engineering Jobs in England

Support containerised deployments using Docker and Kubernetes Mentor engineers and provide technical leadership across UI development Drive adoption of AI-assisted development approaches including prompt engineering and tools such as Copilot Collaborate with product, UX, backend and DevOps teams across the full delivery lifecycle Required Experience Strong experience … pipelines Strong focus on performance optimisation techniques such as lazy loading and code splitting Experience using AI development tools (e.g., GitHub Copilot) within engineering workflows Nice to Have Event-driven architecture experience (Kafka, async patterns) Observability tools (Prometheus, Grafana, ELK) Frontend security (OAuth2, JWT) Automated testing frameworks (Cypress, Playwright ...

with Large Language Models and modern AI architectures, including designing and deploying LLM-based solutions such as copilots, chatbots, and knowledge assistants Understanding of prompt engineering, grounding, and retrieval-augmented generation (RAG) Ability to apply governance, security, and ethical considerations in AI deployments Strong background across the Microsoft ...

prevention through AI/ML Ships product changes with care and quality in line with the organisation’s governance requirements, in close partnership with engineering Builds strong relationships with clients and stakeholders and understand their requirements to a high degree of detail Contributes positively to a team culture that … learn technologies and patterns quickly. Preferred qualifications, capabilities and skills Experience building data, machine learning or model platforms Experience working with agentic workflows, prompt engineering and LLMs to solve real-world problems Experience working in a highly regulated industry We recognize that our people are our strength ...

working with a well-funded AI startup that's redefining how businesses automate complex operational work. This isn't prompt engineering or chatbot deployment. Their technology handles end-to-end workflows — directly inside the tools their customers already use — with no integration overhead and no upfront cost. Customers ...

phase of the company's growth. Skills & Experience Experience within insurance or financial services (this doesn't need to be purely technical)Hands-on prompt engineering experienceExperience working in a GCP environment (or strong exposure)Someone who already has an AI-first mindsetComfortable working with different teams ...

teams Evaluate emerging AI capabilities and integrate relevant innovations Qualifications AI Expertise (Essential): Proven experience working with applied AI systems Strong understanding of LLMs, prompt engineering, and agent-based workflows Experience with AI automation and orchestration across tools/models Awareness of AI governance, risk, and security considerations ...

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 ...

looking for someone who is curious, proactive and confident working across both manufacturing and digital environments. You will ideally have: A qualification in Engineering, Computer Science, Software Engineering or a related field. Experience within manufacturing operations, ideally supporting digital transformation, Industry 4.0, automation or process improvement initiatives. … digital/data concepts and physical manufacturing processes, including mechanical assembly lines. Knowledge of data architectures, cloud computing data pipelines, databases, Node-RED and prompt engineering. Strong problem-solving skills, with the ability to translate business challenges into practical digital solutions. Excellent communication skills and the confidence to work ...

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 ...