Search & Retrieval: Implement retrieval-augmented workflows: ingest documents, index embeddings (Pinecone, FAISS, Weaviate), and build similarity search features. Rapid Prototyping: Create interactive AI demos and proofs-of-concept with Streamlit, Gradio, or Next.js for stakeholder feedback; MLOps & Deployment: Implement CI/CD pipelines (e.g., GitLab Actions, Apache Airflow), experiment tracking (MLflow), and model monitoring for reliable production workflows; Cross-Functional … in Python; Deep expertise in prompt engineering and tooling like LangChain or LlamaIndex; Proficiency with vector databases (Pinecone, FAISS, Weaviate) and document embedding pipelines; Proven rapid-prototyping skills using Streamlit or equivalent frameworks for UI demos. Familiarity with containerization (Docker) and at least one orchestration/deployment platform; Excellent communication and ability to frame AI solutions in business terms. Nice More ❯
Newcastle Upon Tyne, Tyne and Wear, England, United Kingdom Hybrid / WFH Options
Harnham - Data & Analytics Recruitment
/CD pipelines and modern software practices Background in document extraction and reasoning (LLMs, RAG, agents) Exposure to multimodal data (text, images, structured) MLOps, model monitoring, and rapid prototyping (Streamlit, Dash, etc.) 3-4+ years in software or ML engineering roles The Interview Process Intro chat with Lead Data Scientist Take-home technical challenge - Focused on structuring AI software More ❯
a global team and working across multiple stakeholder groups Strong experience in a querying language such as SQL Experience in a visualization or dashboarding tool is beneficial (e.g. Tableau, Streamlit, Looker, or Mode) Excellent communication skills to summarize insights and recommendations to audiences of varying levels of technical sophistication Familiarity with CRM platforms (e.g. Salesforce) and other sales enablement tools More ❯
mission-driven team focused on learning and climate impact A plus but not essential: ⚡️ Power trading or electricity systems 📈 Time-series data 🎙 Comfortable chatting with clients Tech: Python/Streamlit/Docker/GCP/Figma More ❯
regions. The role leverages a modern tech stack including SQL, Python, Airflow, Kubernetes, and various other cutting-edge technologies. You'll work with tools like dbt on Databricks, PySpark, Streamlit, and Django, ensuring robust data infrastructure that powers business-critical operations. What makes this role particularly exciting is the combination of technical depth and business impact. You'll be working More ❯
