6 of 6 Remote/Hybrid Jupyter Jobs in London

Lambda, ECS/EKS, API Gateway, S3) DevOps : Terraform, GitHub Actions, Helm, Infrastructure-as-Code Data Science : Graph analytics, data pipelines, ETL workflows, Jupyter notebooks Required Qualifications Software Development 5+ years of professional software engineering experience Strong proficiency in Python (3.10+) with deep understanding of async programming Experience with Poetry ...

patents or conference presentations related to AI or data science in finance. Technical Skills Programming: Python (pandas, scikit‐learn, TensorFlow/PyTorch), R, SQL, Jupyter notebooks and version control (Git). Machine Learning: regression, classification, clustering, tree‐based models, neural networks, MLOps practices and model deployment. Data Platforms: relational ...

solving skills: Able to decompose messy, real-world problems and craft tailored solutions. Proficient in Python & data science: pandas/Polars, NumPy, scikit-learn, Jupyter, Plotly (or similar) Confident with data cleaning, analysis, transformation, and visualisation. Excellent communication: Advanced written and spoken English; concise, direct, and audience-appropriate (technical + ...

degree in Computer Science, Mathematics, Physics, or a related field. ● Proficiency in Python, SQL, Bash, and Git, with hands-on experience in tools like Jupyter notebooks, Pandas, PyTorch, and more. ● 3–5+ years of experience in data science or applied ML/DL, ideally within product development. ● Deep expertise ...

however, it is not expected that they will have prior experience of them all: Programming: Python, JavaScript, TypeScript, SQL, C#, C++ Frameworks & Tools: FastAPI, Jupyter, JupyterHub, Voila, Power BI, GitHub, Vue, Nuxt AEC Platforms & Standards: Revit, Revit API, pyRevit, Rhino, Grasshopper, IES VE (and its Python API), BIM data standards ...

hours TECH STACK/REQUIREMENTS Proven experience delivering Media Mix Models end-to-end Strong Python skills, including working in notebook-based environments (e.g. Jupyter) Experience working with existing codebases and extending models Experience with data wrangling, transformation, and pipeline preparation Familiarity with MMM techniques and frameworks such as: Bayesian ...