26 to 45 of 45 Prompt Engineering Jobs in Central London

statistical evaluation Proven ability to transition validated models into production-ready systems with appropriate governance Exposure to LLM/Generative AI applications, including prompt engineering and RAG architectures Ability to communicate complex technical concepts clearly to non-technical stakeholders Experience working in cross-functional teams to deliver production ...

features like RAG, document analysis, and automated workflows. Full-Stack Lite: Use Python and Streamlit to create clean, interactive, and client-ready user interfaces. Prompt Engineering: Design and optimize complex system prompts to ensure reliable model outputs for business use cases. Requirements: The "Cursor" User ...

materials Work with leadership to define our long-term AI roadmap Lay the foundation for adaptive learning, personalised coaching, and automated formative assessment Set engineering standards, model safety guidelines, and data governance frameworks Help scale the AI stack into a proprietary academic engine used by thousands of learners This … technical core of an entire institution. What we’re looking for Essential Experience with Azure OpenAI, OpenAI, LangChain, or similar frameworks Strong Python engineering skills Practical experience building RAG systems, embeddings, vector stores Comfort with cloud architecture (Azure preferred) Ability to move fast, prototype, and ship Experience building MVPs ...

Forward-Deployed AI Engineer – Build the Future of Autonomous Finance About the Opportunity Imagine combining the precision of AI engineering with the ambition of a fintech disruptor. That’s what this role offers. I’m working with a next-generation technology company that’s fusing agentic AI with financial … Hands-on experience building GenAI systems in production environments. Strong Python skills and a GitHub portfolio showcasing MLE or GenAI projects. Expertise in LLMs, prompt engineering, RAG, vector databases, and agentic frameworks (LangChain, LlamaIndex, DSPy, etc.). Ability to break down complex business domains into computational workflows. Excellent ...

with API development and Microservices architecture and end to end integrations Knowledge of RAG (Retrieval-Augmented Generation ) and ADK, MCP Solid understanding of LLMs, prompt engineering, and graph-based workflows Hands-on experience with API development and Microservices architecture Experience in CI/CD pipelines, and containerisation (Docker ...

related libraries. Experience with agentic AI architectures and autonomous AI agents. Hands-on experience with LangGraph or similar orchestration frameworks. Understanding of AI lifecycle: prompt engineering, agent workflows, deployment, and monitoring. Familiarity with LLMs and multi-agent systems. About Us: Ascendion is a leading provider of AI-first … software engineering services. Our applied AI, software engineering, cloud, data, experience design, and talent transformation capabilities accelerate innovation for Global 2000 clients. Ascendion is headquartered in New Jersey. In addition to our remote/hybrid workforce, we have 30+ offices across the U.S., UK, Poland, Romania, India, Australia ...

teams in commercial, R&D, medical, or supply chain contexts. Excellent communication, stakeholder management, and program governance skills. Knowledge of Generative AI, LLM integration, prompt engineering, and responsible AI frameworks. Familiarity with GxP systems, clinical data standards, PV requirements, and regulatory submissions. ...

teams in commercial, R&D, medical, or supply chain contexts. Excellent communication, stakeholder management, and program governance skills. Knowledge of Generative AI, LLM integration, prompt engineering, and responsible AI frameworks. Familiarity with GxP systems, clinical data standards, PV requirements, and regulatory submissions. ...

Contribute to product strategy and innovation What We’re Looking For Strong experience with LLMs, NLP, and generative AI Proficiency in PHP Knowledge of prompt engineering, fine-tuning, and RAG architectures Ability to thrive in a dynamic startup setting What’s on Offer Fully remote – work from anywhere ...

mandatory). Proficiency with Python, including the ability to build small scripts, automate tasks, and work with APIs. Understanding of modern AI concepts (LLMs, prompt engineering, model evaluation, basic ML principles). Strong communication skills — able to translate technical concepts into plain English. Demonstrated ability to run small ...

Python , and familiar with front-end frameworks like React. Skilled in SQL , data warehousing ( BigQuery ), and data visualisation. Knowledgeable about AI integration , agent frameworks, prompt engineering, and observability tools. Familiar with automation, ETL/ELT, and modern software engineering practices. ...

Large-Scale AI Deployments – Has played a key role in production-ready AI applications Expertise in LLMs – Skilled in fine-tuning, training, and prompt engineering AI Model Optimization – Strong knowledge of cost management, evaluation, and modification Solution Architecture – Can design and build AI solutions from scratch Client Engagement ...

strategy, conversational AI capabilities, and broader applied AI roadmap. Key Responsibilities Design, build, and enhance LLM-driven tools, including RAG pipelines, embeddings, and prompt engineering. Support and expand the organisation’s chatbot capabilities. Work with unscripted data (text, call transcripts) to define key insights and model outputs. Lead … contribute to the development of evaluation frameworks to measure AI and LLM performance. Operate between AI engineering, ML engineering, and data science teams, helping define and influence wider AI strategy. Collaborate with product, technical, and commercial stakeholders to deliver high-impact AI solutions. Tech Environment Python LangChain/ ...

data pipelines Hands-on experience with LLM tooling and libraries (e.g., Hugging Face Transformers/PEFT, tokenisers, spaCy or similar) Experience shipping NLP systems: prompt engineering, fine-tuning (e.g., LoRA/PEFT), vector search, and RAG-based services Great knowledge of NLP algorithms: tokenisation, embeddings, attention, language modelling ...

Desirable Skills Experience using R and NLP or deep learning techniques (e.g., TF-IDF, word embeddings, CNNs, RNNs). Familiarity with generative AI and prompt engineering. Experience with Azure Databricks, MLflow, Azure ML services, Docker, or Kubernetes. Exposure to Agile development environments and software engineering best practices. Experience ...

lead the design and productionisation of Generative AI and Large Language Model (LLM) applications. This role sits at the heart of an AI-focused engineering team, delivering scalable, production-grade systems using GCP and Google's AI ecosystem . You'll be a senior, hands-on engineer owning complex … including fine-tuning, vector search, and low-latency inference. Build end-to-end LLM applications , leveraging RAG (Retrieval-Augmented Generation) , agentic workflows, and prompt engineering. Implement robust evaluation frameworks to monitor LLM quality, hallucinations, token usage, and content safety. Develop and deploy autonomous or semi-autonomous agents using modern ...

pilots, Implementation & Adoption of new technology, be a translator within the firm for cross-functional collaboration and support development of AI-native clients. Master prompt engineering techniques for legal AI platforms to optimise accuracy and efficiency Design and test AI-powered legal workflows, including chain-of-thought reasoning ...

state-of-the-art AI-driven platform and is entering a significant expansion phase, having scaled rapidly over the past 18 months across engineering, sales, and customer success. As a Senior Backend Engineer, you’ll play a pivotal role in designing, building, and scaling the company’s backend systems … 5+ years’ experience in backend development with Python. Proven experience in start-up or scaling SaaS environments. Familiarity with data pipelines, vector databases, and prompt engineering. Strong problem-solving skills and ability to work autonomously in a fast-paced, high-performing environment. ...

Strong hands-on background in Python or R, SQL, and modern ML frameworks, with deep experience across core ML (regression, classification, clustering, recommendation, feature engineering). Proven experience with NLP/NLU and practical use of Generative AI tools (e.g. ChatGPT) and prompt engineering. Ability to read research ...

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 ...