1 to 25 of 35 Remote/Hybrid Pandas Jobs in the UK

value What We’re Looking For Essential experience Significant experience building, training and deploying machine learning models Strong Python skills with experience using NumPy, Pandas, SciPy and modern ML frameworks such as PyTorch or TensorFlow Experience working with large-scale unstructured data Experience building and deploying production-ready NLP systems ...

continuous improvement. Technical Experience Were looking for experience in many of the following areas: Strong Python skills and familiarity with ML libraries such as Pandas, NumPy, and scikit-learn. Experience with frameworks such as TensorFlow, Keras, or PyTorch. Exposure to gradient boosting tools such as XGBoost, LightGBM, or CatBoost. Experience ...

results. Experienced in engaging with non-technical stakeholders to scope, design and build an appropriate ML solution. Proficient with Python data science stack, e.g., pandas, scikit-learn, Jupyter etc., and version control, e.g., Git. Exposure to LLMOps, model monitoring principles, CI/CD and associated tech, e.g., Docker, MLflow ...

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 ...

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 ...

this vacancy only. KEY SKILLS AI, Python, Machine Learning, Software Engineering, Data, APIs, Cloud, Agile, Python, TensorFlow, PyTorch, Scikit-learn, XGBoost, NLTK, OpenAI, LangChain, Pandas, NumPy, MLflow, Kubeflow, Docker, Kubernetes, Azure Machine Learning, Google Vertex ...

/AI solutions into production environments Strong Python expertise and experience with modern AI/ML frameworks such as: PyTorch TensorFlow scikit-learn NumPy Pandas Hands-on experience with Generative AI, agentic AI systems, and AI testing frameworks Strong communication skills and a passion for clear documentation and knowledge sharing ...

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. ...

commercial setting. Skilled at working with non-technical stakeholders to scope, design and deliver effective ML solutions. Proficient with the Python data science stack (pandas, scikit-learn, Jupyter, etc.) and version control tools like Git. Exposure to LLMOps, model monitoring, CI/CD and related technologies (Docker, MLflow, Kubernetes, FastAPI ...

Machine Learning . Strong programming experience in Python . Experience with TensorFlow, PyTorch, or Scikit-learn . Knowledge of data processing tools such as Pandas, NumPy . Experience with NLP, Computer Vision, or Predictive Analytics . Understanding of cloud platforms like AWS, Azure, or Google Cloud . Preferred Qualifications Degree ...

Machine Learning (sci-kit learn, tensorflow, metaflow, MLOps) Preferred Experience: Experience with frameworks like Metaflow, Prefect, etc. Experience with geospatial libraries i.e. Raster, Geo-pandas, Vector databases Bright Purple is an equal opportunities employer: we are proud to work with clients who share our values of diversity and inclusion ...

welcome applications from women who are passionate about machine learning and eager to grow: Strong Python skills and experience with ML libraries (pandas, NumPy, scikit-learn, XGBoost, LightGBM, CatBoost, TensorFlow, Keras, PyTorch). Familiarity with model deployment and serving tools (ONNX, TensorRT, TensorFlow Serving, TorchServe). Experience with ML lifecycle ...

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). ...

technical discussions, code reviews, and agile delivery Required Skills & Experience Essential 36+ years commercial experience in Applied ML or Data Science Strong Python (pandas, numpy, sklearn or similar) Strong SQL Experience building and iterating on predictive models Conditional (must meet at least 2 of the below) Time-series modelling 2+ ...

innovative solutions confidently to key stakeholders.We're Looking For Someone Who Has:Proficiency in front-end technologies (e.g., JavaScript, React).Strong skills in Python (Pandas, APIs, etc.).Experience with version control systems, preferably Git.Understanding of cloud services and deployment (e.g., Azure).Familiarity with Agile development practises.An entrepreneurial mindset!The package ...

confidently to key stakeholders. We're Looking For Someone Who Has: Proficiency in front-end technologies (e.g., JavaScript, React). Strong skills in Python (Pandas, APIs, etc.). Experience with version control systems, preferably Git. Understanding of cloud services and deployment (e.g., Azure). Familiarity with Agile development practises. ...

Senior Trading Data Engineer or similar role in a trading, hedge fund, investment bank or energy markets environment. Strong Python skills for data engineering (pandas/Polars or equivalent) and production‐quality code. Deep knowledge of SQL and experience with analytical or time‐series databases (e.g. Redshift, ClickHouse, Snowflake, BigQuery ...

Python Developer for a major pharmaceutical company, outside IR35. The key skills required for this Python Developer role are: Python AWS Data science (numpy, pandas, scipy.stats and .spatial) Visualization (dash or seaborn) If you do have the relevant experience for this Python Developer role, please do apply. ...

experience: Strong experience as a Data Engineer Advanced Python and SQL skills Experience with cloud platforms (AWS preferred) Proficiency in PySpark and/or Pandas Familiarity with data quality tools (e.g., Great Expectations) Experience with infrastructure as code (Terraform or CloudFormation) Understanding of modern development best practices and agile methodologies ...

Background 3+ years of industry experience as a Data Scientist , plus a strong academic foundation Python Data Science Stack : Advanced proficiency in Python , including Pandas, NumPy and scikit-learn. Statistical & Machine Learning Modelling : Experience with a variety of ML techniques ( regression, classification, clustering, time-series forecasting ) Experience with deep learning ...

compliance, clean code, unit testing, and version control (Git, Unix, pytest). Experience retrieving data from structured, unstructured and web sources (Selenium/PlayWright, Pandas, XML etc) Must have experience building data engineering pipelines in Azure Experience in Azure including Azure Fabric, Data Factory and Azure integrated services such ...

from scratch in a commercial environment Strong commercial experience in Marketing Mix Modelling (MMM) Advanced Python skills for data manipulation, modelling, and analysis (e.g., pandas, NumPy, scikit-learn) Strong understanding of branding, brand positioning, and marketing strategy Ability to interpret brand language and translate it into measurable analytical frameworks Demonstrated ...

years) Proven experience building and deploying ML models in production Solid understanding of: Churn modelling Propensity modelling Behavioural data analysis Strong Python skills (e.g. Pandas, NumPy, ML libraries) Experience working with real-world, messy datasets Ability to work autonomously in a fast-paced environment Nice to have: Experience in mobile ...

machine learning and scientific computing Experience developing, training, and optimising machine learning models Familiarity with common ML tools and frameworks such as PyTorch, pandas, and scikit-learn Experience working with large datasets and high-performance computing (HPC) environments Strong analytical and problem-solving skills in complex technical environments Ability ...

power market Contributing to client discussions, presentations and written analysis Python skills are beneficial here, particularly for data analysis using tools such as pandas and numpy Staying Close to the Market Understanding how power markets evolve is essential to building useful analytics You will therefore: Track developments across wholesale, balancing ...