25 of 25 Remote Pandas Jobs in the Thames Valley

and Experience: Kafka and message bus/queue expertise Kubernetes knowledge Terraform and GitHub Actions skills Open Telemetry (OTEL) implementation Proficiency with NumPy and Pandas Systems integration experience Background in commodity trading (gas & power) Quantitative finance knowledge Understanding of compliance and regulation, particularly Sarbanes-Oxley (SOx) Role Responsibilities: Collaborate with More ❯

with experience in backend frameworks like Flask , FastAPI , or Django . Ability to write efficient, reusable, and scalable code. Experience with libraries like NumPy , Pandas , SciPy , or any others commonly used in data processing or modelling. Strong understanding of data structures , algorithms , and complexity analysis . ✅ Mathematical or Computational Modelling More ❯

on the hunt for a Senior Backend Engineer (Python) to take ownership of core systems powering demand forecasting and stock optimisation. 🔧 Tech stack : Python, Pandas, GCP/AWS, CI/CD, Terraform 🧠 What you’ll do : Build forecasting models from the ground up Optimise stock movement across the supply chain More ❯

Strong academic background in Computer Science, Engineering, Mathematics, Physics, or similar technical fields. Expertise in crafting scalable backend systems using Python and frameworks like Pandas for data analysis. Solid experience working with cloud services (GCP, AWS, or Azure). Proven track record of writing testable code and following modern testing More ❯

applications in Looker/Metabase(Visualisation solutions) using (explores, views, etc) which will enable users across the organization to self-serve analytics. Strong Python (Pandas/SQL Alchemy) & SQL(BigQuery/Snowflake) skills for maintaining ETL/ELT pipelines. Developing tools and processes to ensure the quality and observability of More ❯

Front Office environments is also something which will be essential to your success in this role. Tech Stack: Angular C# .NET Azure Python (FastAPI, Pandas, Numpy) Event driven architecture As a member of the Application Development team, you'll be responsible for designing, developing, and delivering production software as well More ❯

reliability and cost, or improving our search service Tech Stack: Platform: AWS, Pulumi, Docker, Prefect, Github actions, Grafana cloud monitoring Data Science: Python, PyTorch, Pandas, Spacy, Huggingface, Numpy, Streamlit, Argilla, Weights and Biases Backend: Python, FastAPI, PostgreSQL, Vespa, SQLAlchemy, AWS Batch, Lambda, S3 Frontend: React, Next.js Key skills and experience More ❯

reliability and cost, or improving our search service Tech Stack: Platform: AWS, Pulumi, Docker, Prefect, Github actions, Grafana cloud monitoring Data Science: Python, PyTorch, Pandas, Spacy, Huggingface, Numpy, Streamlit, Argilla, Weights and Biases Backend: Python, FastAPI, PostgreSQL, Vespa, SQLAlchemy, AWS Batch, Lambda, S3 Frontend: React, Next.js Key skills and experience More ❯

reliability and cost, or improving our search service Tech Stack: Platform: AWS, Pulumi, Docker, Prefect, Github actions, Grafana cloud monitoring Data Science: Python, PyTorch, Pandas, Spacy, Huggingface, Numpy, Streamlit, Argilla, Weights and Biases Backend: Python, FastAPI, PostgreSQL, Vespa, SQLAlchemy, AWS Batch, Lambda, S3 Frontend: React, Next.js Key skills and experience More ❯

reliability and cost, or improving our search service Tech Stack: Platform: AWS, Pulumi, Docker, Prefect, Github actions, Grafana cloud monitoring Data Science: Python, PyTorch, Pandas, Spacy, Huggingface, Numpy, Streamlit, Argilla, Weights and Biases Backend: Python, FastAPI, PostgreSQL, Vespa, SQLAlchemy, AWS Batch, Lambda, S3 Frontend: React, Next.js Key skills and experience More ❯

reliability and cost, or improving our search service Tech Stack: Platform: AWS, Pulumi, Docker, Prefect, Github actions, Grafana cloud monitoring Data Science: Python, PyTorch, Pandas, Spacy, Huggingface, Numpy, Streamlit, Argilla, Weights and Biases Backend: Python, FastAPI, PostgreSQL, Vespa, SQLAlchemy, AWS Batch, Lambda, S3 Frontend: React, Next.js Key skills and experience More ❯

and requirements: Demonstrated experience as a Data Engineer scaling Data heavy platforms Strong understanding of ETL pipelines and Data Architectures Python, SQL & Python libraries (Pandas & Spark) Modern Data Warehousing tools AWS/GCP experience Experience working in high-growth start-up or scale-up environments (essential) Hybrid working in Central More ❯

Machine Learning, Data Scientist role, or similar Commercial experience with Machine learning, Deep Learning or Advanced Analytics, and relevant tools Strong background in Python, Pandas/Jupyter and AWS or GCP Good communicator, able to work across multiple teams Desirable skills and technologies Commercial experience in an ecommerce or marketplace More ❯

on highly visible, large-scale projects. What you'll bring to the role Strong grounding in ML approaches, techniques, and frameworks Proficiency in Python, Pandas, TensorFlow, Scikit-learn, Numpy, SciPy Experience deploying models to the cloud and working with Azure (Azure DevOps, Azure ML, Azure SQL, ADF, etc.) Ability to More ❯

technology on highly visible and large-scale projects. What you’ll bring to the role Strong grounding in ML approaches, techniques and frameworks Python, Pandas, Tensor Flow, Scikit-learn, Numpy, SciPy Experience deploying to the cloud and working with Azure (Azure DevOps, Azure ML, Azure SQL, ADF etc.) Able to More ❯

technology on highly visible and large-scale projects. What you’ll bring to the role Strong grounding in ML approaches, techniques and frameworks Python, Pandas, Tensor Flow, Scikit-learn, Numpy, SciPy Experience deploying to the cloud and working with Azure (Azure DevOps, Azure ML, Azure SQL, ADF etc.) Able to More ❯

technology on highly visible and large-scale projects. What you’ll bring to the role Strong grounding in ML approaches, techniques and frameworks Python, Pandas, Tensor Flow, Scikit-learn, Numpy, SciPy Experience deploying to the cloud and working with Azure (Azure DevOps, Azure ML, Azure SQL, ADF etc.) Able to More ❯

technology on highly visible and large-scale projects. What you’ll bring to the role Strong grounding in ML approaches, techniques and frameworks Python, Pandas, Tensor Flow, Scikit-learn, Numpy, SciPy Experience deploying to the cloud and working with Azure (Azure DevOps, Azure ML, Azure SQL, ADF etc.) Able to More ❯

technology on highly visible and large-scale projects. What you’ll bring to the role Strong grounding in ML approaches, techniques and frameworks Python, Pandas, Tensor Flow, Scikit-learn, Numpy, SciPy Experience deploying to the cloud and working with Azure (Azure DevOps, Azure ML, Azure SQL, ADF etc.) Able to More ❯

requirements and restrictions Experience in programming languages and data structures such as SAS, Python, R, SQL is key. With Python background, particularly familiarity with pandas/polars/pyspark, pytest; understanding of OOP principles; git version control; knowledge of the following frameworks a plus: pydantic, pandera, sphinx Additionally, experience in More ❯

to the founding members, and you’ll be given ownership on the direction of data engineering across the business. They’re currently using Python (Pandas), PostgreSQL, on AWS as the core technologies within data engineering, but you’ll also work on some exciting AI projects. If you feel there’s More ❯

to analyze KPIs and guide budget optimization and scenario planning. Key Responsibilities: Extract, manipulate, and analyze datasets to prepare for modelling (Excel, SQL, Python, Pandas). Build and refine base models with clear variable rationale and KPI linkage. Create ROI workbooks , response curves, and optimization charts. Run scenarios for budget More ❯

and quality across all datasets Build and maintain ETL pipelines for processing structured and unstructured data Conduct data analysis and modeling using tools like Pandas, NumPy, Scikit-learn, and TensorFlow Leverage financial data expertise to identify trends, patterns, and anomalies within complex datasets Support and improve SQL-based queries and … building ETL/ELT pipelines and working with large-scale data workflows Hands-on experience with data analysis and machine learning libraries such as Pandas, NumPy, Scikit-learn, or TensorFlow Familiarity with SQL and relational database systems (e.g., PostgreSQL, MySQL) Exposure to cloud platforms such as AWS, Azure, or GCP More ❯

Machine Learning Engineer – SaaS - London (Tech stack: Machine Learning Engineer, Python, TensorFlow, PyTorch, scikit-learn, Keras, Natural Language Processing (NLP), Hugging Face Transformers, Pandas, NumPy, Jupyter Notebooks, Matplotlib, Seaborn, Flask (for building APIs), FastAPI, Docker, MLflow, DVC (Data Version Control), AWS SageMaker, Azure Machine Learning, Google Cloud AI Platform, TensorFlow … to fill any gaps in your skill set): Machine Learning Engineer, Python, TensorFlow, PyTorch, scikit-learn, Keras, Natural Language Processing (NLP), Hugging Face Transformers, Pandas, NumPy, Jupyter Notebooks, Matplotlib, Seaborn, Flask (for building APIs), FastAPI, Docker, MLflow, DVC (Data Version Control), AWS SageMaker, Azure Machine Learning, Google Cloud AI Platform More ❯

AWS Data Engineer Salary: Negotiable to £80,000 Dependent on Experience London: Hybrid working 3 days per week in the office 2 days home-based Job Ref: J12931 A leader in consumer behaviour analytics, seeks a driven AWS Data Engineer More ❯