17 of 17 Remote/Hybrid Pandas Jobs in England

quantitative modelling bridging the gap between data and lived football judgement Essential Requirements Technical Skills Advanced proficiency in Python and the data science stack (pandas/polars, scikit-learn, NumPy, matplotlib/plotly) Strong SQL skills ability to design schemas, write complex queries, and manage relational data across large datasets ...

Experience setting up CI/CD pipelines Understanding of service deployment, monitoring, and troubleshooting Data Science/Analytics Experience with data analysis using Python (pandas, numpy) Understanding of data pipelines and ETL processes AI/LLM Engineering Experience integrating LLM APIs (OpenAI, Anthropic, Gemini, or open-source equivalents) into production ...

must be current and transferable Proven experience as a Machine Learning Engineer within central government or regulated environments Strong programming skills in Python (e.g. Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch) Experience building and deploying ML models into production environments Strong knowledge of cloud platforms, particularly: Azure (ML Studio, Azure ...

Experience setting up CI/CD pipelines Understanding of service deployment, monitoring, and troubleshooting Data Science/Analytics Experience with data analysis using Python (pandas, numpy) Understanding of data pipelines and ETL processes AI/LLM Engineering Experience integrating LLM APIs (OpenAI, Anthropic, Gemini, or open-source equivalents) into production ...

Skills and Experience Strong commercial experience developing machine learning solutions in Python Solid understanding of the Python ML ecosystem including libraries such as NumPy, pandas, and scikit learn, with exposure to PyTorch or TensorFlow Experience building and deploying containerised services and APIs Working knowledge of SQL and data driven application ...

entity resolution. GenAI: Experience with LLM APIs and Context Engineering (constructing prompts, managing context windows, evaluating behaviour). Engineering & Stack: Python: Expert level (Pandas, NumPy, Scikit-Learn). Data Engineering: Strong SQL skills and experience building data pipelines. Experience: Education: Degree in a quantitative field (Statistics, Mathematics, Computer Science, etc. ...

sample and genomic data. You have A BSc or MSc in computer science or related fields Expertise in Python, including popular Python libraries: NumPy, Pandas, PySpark and frameworks: Django, Django Rest Framework, FastAPI Hands-on experience with both relational (e.g. PostgreSQL) and non-relational databases (e.g. Elasticsearch, Redis) Extensive experience ...

least 2 years’ experience working as a data engineer (ideally consulting/financial services) – salary and level will reflect experience. Proficiency in Python (pandas, numpy) Professional experience with Azure cloud services (AWS/GCP acceptable with deeper experience) Strong experience deploying clean, maintainable, production-level code. Basic understanding ...

Science delivery with measurable impact Experience taking models into production and managing performance over time Prior experience leading or mentoring Data Scientists Strong Python (pandas, numpy, scikit-learn or similar) Strong SQL (complex joins, aggregations, analytical functions) Solid grounding in applied statistics, evaluation design, calibration, bias/fairness Experience working ...

analytical choices, QC decisions and modelling approaches Build robust, documented and reusable scientific software Essential Skills Strong Python experience for scientific computing Experience with Pandas, NumPy, SciPy and visualisation libraries such as Matplotlib or Seaborn Experience analysing bioassay, assay or experimental biology data Understanding of dose-response modelling, curve fitting ...

work. What My Client Is Looking For: • Significant hands-on experience building and deploying machine learning models into production environments.• Strong Python expertise (e.g., pandas, scikit-learn, ML frameworks) with production-quality coding standards.• Advanced SQL skills and deep understanding of relational data.• Strong statistical foundations and model validation expertise. ...

live production environments. We're looking for individuals with: Experience: Proven background as a Machine Learning Engineer. Technical Skills: Strong in SQL and Python (Pandas, Scikit-learn, Jupyter, Matplotlib). Data transformation & manipulation : experience with Airflow, DBT and Kubeflow Cloud: Experience with GCP and Vertex AI (developing ML services). ...

Additional Requirements Security clearance (SC/BPSS) Exposure to machine learning Statistics or modelling knowledge Strong Python skills and familiarity with core libraries (pandas, NumPy, scikit‐learn) Deep learning and NLP stacks (PyTorch, HuggingFace Transformers) Cloud or data platform familiarity Working Model Hybrid working model with a balance of client ...

Postgres, REST APIs, SFTP, Websockets OOP + Asynchronous Design Patterns PowerQuery/DAX/M Industry standard libraries used in software development within finance (pandas, numpy, scipy etc) MS Graph * Experience with the following technologies is nice to have: NodeJS Grafana VBA OpenAI API Cross OS file shares Profile ...

needs Occasionally supporting external-facing or PR-driven research projects What we're looking for Strong Python skills for ML and data science (e.g. pandas, scikit-learn, Keras) Experience conducting structured research on ML model performance Interest in network science and its real-world applications Ability to define technical problems ...

Power BI using SQL-based data. Requirements: Excellent communication skills, with strong stakeholder management and requirements gathering experience Solid experience with SQL, Python (Pandas), and Power BI Strong data warehousing and cloud experience preferred, alongside data modelling knowledge and OLTP/OLAP experience Experience coordinating UAT and strong analytical capability ...

knowledge, enhance our standards and processes to provide a strong foundation to develop individuals, teams and innovation. Essential Criteria Extensive enterprisescale Python experience, including Pandas, pytest, clean code, and PEP8 standards. Extensive experience designing, building, and operating robust, automated ETL/ELT data pipelines, including largescale processing with Spark. Handson … will shortlist on: Hands on experience using AWS data services, including Glue, Lambda, Step Functions, and S3. Extensive enterprise scale Python experience, including Pandas, pytest, clean code, and PEP8 standards. Extensive experience designing, building, and operating robust, automated ETL/ELT data pipelines, including large scale processing with Spark. Desirable ...