London, South East, England, United Kingdom Hybrid / WFH Options
Certain Advantage
without an MSc. Background Generative AI (GenAI) is seen as having the potential to revolutionise our client’s operations across all major lines of business. Applications may include conversational AI, intelligent information retrieval, AI-assisted system design, intelligent plant monitoring, and autonomous exploratory systems.We’re seeking a Data Scientist with good hands on python skills and a focus More ❯
Manchester, Lancashire, England, United Kingdom Hybrid / WFH Options
Involved Solutions
based architectures (e.g., GPT, BERT, T5). Solid background in data science and machine learning, including model development, training, evaluation, and deployment. Experience building and deploying chatbots or conversational AI systems. Knowledge of MLOps tools and pipelines for model versioning and deployment. If you are available and interested in a 6-month Outside IR35 contract, please apply in More ❯
frameworks and key performance metrics ?? Up-to-date understanding of LLMs, prompt engineering, and agentic AI Desirable: ?? Experience with frameworks such as AutoGPT, CrewAI, or LangGraph ?? Background in conversational UX or human-AI interaction ?? Knowledge of vector databases or RAG techniques ?? Awareness of ethical and safety considerations in AI system If you'd like to learn more, feel More ❯
East London, London, United Kingdom Hybrid / WFH Options
SUMMER-BROWNING ASSOCIATES LIMITED
driven solutions. You will have experience in: Designing, developing, and refining prompts for copilots and AI agents to maximise accuracy, safety, and user value. Analysing model outputs and conversational logs to identify improvement opportunities and failure points. Developing and maintaining prompt libraries, templates, and best practice documentation. Collaborating with cross-functional teams to align prompt engineering with business … to technical and non-technical stakeholders. Desirable (but not essential): Experience with frameworks for autonomous agents (e.g., AutoGPT, CrewAI, LangGraph, ReAct, BabyAGI). Background in human-AI interaction, conversational UX, or simulation environments. Knowledge of vector databases or retrieval-augmented generation (RAG). Understanding of the ethical, social, and safety considerations of autonomous AI systems. NB: Successful applicant More ❯
