12 of 12 Remote/Hybrid Prompt Engineering Jobs in Central London

support autonomous decision-making and communication between agents. Monitor, evaluate, and continuously improve agentic performance and reliability. Skills & Experience Essential: 3+ years in software engineering, AI engineering, or machine learning roles. Strong programming skills (Python preferred). Experience with LLM integration (e.g., OpenAI, Anthropic, Hugging Face). Understanding … agentic frameworks, prompt engineering, and orchestration tools. Familiarity with APIs, databases, and cloud infrastructure (AWS, Azure, or GCP). Desirable: Experience in small, agile teams or start-up/SME environments. Knowledge of vector databases, RAG systems, or AI orchestration platforms. Interest in autonomous systems, cognitive architectures ...

enterprise use cases. Build and fine-tune LLM-based applications such as: - Chatbots - Document Q&A systems - Report generators - Code assistants - Summarization tools Apply prompt engineering, Retrieval-Augmented Generation (RAG), and context-aware pipelines to enhance model accuracy and relevance. Integrate AI models with enterprise systems, APIs … Hands-on experience with LLMs (e.g., GPT, LLaMA, Claude, Mistral), Transformers, and Diffusion models. Experience with Hugging Face Transformers, LangChain, LLM orchestration frameworks, and prompt tuning. Familiarity with RAG pipelines, embedding models, and vector databases. Experience with cloud platforms (AWS, GCP, Azure) and AI/ML services. Knowledge ...

powered solutions for tracing, evaluation, and production monitoring. Implement robust experiment tracking, model versioning, and reproducibility practices with full audit trails. Design feature engineering approaches and contribute to feature store development. Support production models through monitoring, performance analysis, and continuous improvement. Apply responsible AI practices, including model explainability … with governance and quality controls. Experience with experiment tracking and MLOps tooling (MLflow, Weights & Biases, DVC). Experience developing LLM/GenAI applications, including prompt engineering and RAG architectures. Familiarity with LLMOps tooling (LangSmith, LangChain, LangGraph). Understanding of model evaluation, validation, and production monitoring. Strong problem-solving ...

proficiency in Python and experience with PyTorch or TensorFlow . Practical experience with LangChain, LangGraph, AutoGen , or similar LLM/agent frameworks. Skilled in prompt engineering , integrating foundation model APIs, and LLM fine-tuning techniques. Expertise in building RAG systems , vector databases (e.g., Pinecone, Weaviate), and embedding pipelines. ...

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 ...

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 ...

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 ...

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 ...