Our defence client, requires a new Data Scientist for their central team. Fully remote working available Key Responsibilities Design, develop, and deploy advanced data science models using Python to solve geospatial and spatial-temporal problems. Work with large, complex datasets More ❯
Plumstead, Greater London, UK Hybrid / WFH Options
FalconSmartIT
Athena, Quicksight, and Sagemaker, among others. Proficiency in Snowflake's architecture and familiarity with its features, including Snowpipe, Streams, and Tasks for real-time data processing. Additionally, familiarity with Streamlit and knowledge of DevOps practices for CI/CD pipelines. Should hold relevant technical certifications from AWS and Snowflake. The ability to conduct data landscape assessments and provide solutions for More ❯
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 ❯
Bedrock, Google Vertex AI, and Azure AI Studio. • Integrate semantic search strategies and embeddings to improve LLM relevance and contextual understanding. • Build demo-ready user interfaces with tools like Streamlit, Gradio, or React. • Develop and maintain robust APIs to connect AI agents to internal and third-party services. • Leverage SQL to query and integrate structured data into reasoning and knowledge More ❯
Manchester, Lancashire, United Kingdom Hybrid / WFH Options
Behavioural Insights Team
concepts such as Infrastructure as Code, CI/CD, or MLOps. Knowledge of Python-based data pipeline frameworks (e.g. Airflow, Metaflow) and Python-based product development packages (e.g. FastAPI, Streamlit). An interest in developing or improving full stack product development skills. Who are we and what can we offer you? The Behavioural Insights Team is the world leader in More ❯
Manchester Area, United Kingdom Hybrid / WFH Options
Harnham
/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 Final 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 ❯
scipy, hugging face etc. Understanding of statistical and machine learning models. Knowledge of experimental design, statistical testing and model validation. Experience in data visualization tools such as plotly, seaborn, streamlit etc would be an advantage. Understanding of data modelling and exposure to tools like metaflow or airflow is desirable. Understanding of common software practices like version control, continuous deployment, and More ❯
