51 to 75 of 726 Pandas Jobs in the UK

reshaping, and joining messy datasets using Python. Practical expertise and work experience with ML projects, both supervised and unsupervised. Proficient programming skills with Python, including libraries such as NumPy, pandas, and scikit-learn, as well as R. Understanding and usage of the OpenAI API. NLP: tokenization, embeddings, sentiment analysis, basic transformers for text-heavy datasets. Experience with LLM & Prompt Engineering More ❯

Experience or interest in mentoring junior engineers Familiarity with data-centric workflows and pipeline orchestration (e.g., Apache Airflow) Proficiency in data validation, anomaly detection, or debugging using tools like Pandas, Polars, data.table/R Experience working with AWS or other cloud platforms Knowledge of building and monitoring high-performance, concurrent services “Friends of Voleon” Candidate Referral Program If you have More ❯

a related technical field Preferred qualifications, capabilities, and skills Experience with FIX, Market Data, Analytics and OMS Market microstructure knowledge Equities, FX, options, derivatives asset class knowledge Jupyter/Pandas, KDB+/Q, Python, shell scripting About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments More ❯

both written and verbal Bonus Points: Experience of research and backtesting to evaluate the performance of trading strategies and models Proficiency in Rust and Python, statistical tools (e.g., NumPy, pandas, SciPy) Experience of development with relational and time series database technologies Knowledge of risk management infrastructure What We Offer: Competitive base salary and discretionary bonus Company-paid health and protective More ❯

or a related field from a top-tier university. Professional experience as a quant developer or machine learning engineer. Strong proficiency in Python and commonly used libraries such as Pandas, NumPy, and Dask. Hands-on experience with DevOps tools such as Git, Bitbucket, and CI/CD pipelines (e.g. TeamCity). Proven experience in software development within a production environment More ❯

or a related field from a top-tier university. Professional experience as a quant developer or machine learning engineer. Strong proficiency in Python and commonly used libraries such as Pandas, NumPy, and Dask. Hands-on experience with DevOps tools such as Git, Bitbucket, and CI/CD pipelines (e.g. TeamCity). Proven experience in software development within a production environment More ❯

Spark Streaming Proficiency with AWS services , including Lambda, DynamoDB, S3, SNS, SQS, and Serverless EMR Experience with SQL and NoSQL databases Hands-on with Python , especially in data handling (pandas, scikit-learn, etc.) Familiarity with RESTful web services and event-driven architectures Strong debugging, testing (JUnit or equivalent), and system design skills Passion for building scalable , reliable platforms that support More ❯

/NiFi Familiarity with data visualization tools e.g. PowerBI or Tableau Data extraction and manipulation languages e.g. SQL, Python Knowledge of statistical software and packages such as R, Matlab, Pandas, NumPy or SciPy Experience with algorithmic trading systems and low-latency trading Knowledge of financial markets is desirable but experience of working in other "big data" or HPC environments is More ❯

growing organisation. Role Requirements Technical Expertise 4+ years of experience in analytics engineering, data engineering, or similar roles with substantial experience building production data pipelines Advanced Python skills (NumPy, Pandas, SQL Alchemy) and expert-level SQL across multiple database platforms Hands-on experience with modern data stack tools including dbt, Airflow, and cloud data warehouses (Snowflake, BigQuery, Redshift) Strong understanding More ❯

analytics solutions for our Fixed-Income business. Develop micro-services, data ingestion pipelines and APIs to feed tools and dashboards that monitor Millennium’s market risks. Analyse data with pandas/polars to present data in the most impactful way possible. Create and manage cloud applications using AWS. Required skills/experience Bachelor’s degree in Computer Science, Mathematics, Engineering … instruments and services. Strong analytical skills & problem-solving capabilities. Ability to work independently in a fast-paced environment. Minimum 2 years’ experience working with Python, and data analysis libraries (Pandas/Polars/Numpy). Experience with REST APIs and cloud services. Relational SQL database development experience. Unix/Linux command-line experience. Detail oriented, organised, demonstrating thoroughness and strong More ❯

analytics solutions for our Fixed-Income business. Develop micro-services, data ingestion pipelines and APIs to feed tools and dashboards that monitor Millennium’s market risks. Analyse data with pandas/polars to present data in the most impactful way possible. Create and manage cloud applications using AWS. Required skills/experience Bachelor’s degree in Computer Science, Mathematics, Engineering … instruments and services. Strong analytical skills & problem-solving capabilities. Ability to work independently in a fast-paced environment. Minimum 2 years’ experience working with Python, and data analysis libraries (Pandas/Polars/Numpy). Experience with REST APIs and cloud services. Relational SQL database development experience. Unix/Linux command-line experience. Detail oriented, organised, demonstrating thoroughness and strong More ❯

analytics solutions for our Fixed-Income business. Develop micro-services, data ingestion pipelines and APIs to feed tools and dashboards that monitor Millennium’s market risks. Analyse data with pandas/polars to present data in the most impactful way possible. Create and manage cloud applications using AWS. Required skills/experience Bachelor’s degree in Computer Science, Mathematics, Engineering … instruments and services. Strong analytical skills & problem-solving capabilities. Ability to work independently in a fast-paced environment. Minimum 2 years’ experience working with Python, and data analysis libraries (Pandas/Polars/Numpy). Experience with REST APIs and cloud services. Relational SQL database development experience. Unix/Linux command-line experience. Detail oriented, organised, demonstrating thoroughness and strong More ❯

platform development experience in the Python 3.x ecosystem Strong understanding of the fundaments of software engineering and design Awareness of data science concepts and technologies (Jupyter/Notebooks, numpy, pandas etc.) Financial markets experience preferred DevOps (CI/CD) Experience preferred Computer Science or relevant Engineering degree This is a £550-£600/day PAYE role (c.  More ❯

the finance space. Requirements for the Senior Python Software Engineer position: MSc/PhD in a STEM discipline Strong Python development proficiency Experience with Python libraries such as NumPy, Pandas, Polars, etc. Bonus: Knowledge of financial markets or quantitative finance concepts If you are a Senior Python Software Engineer interested in joining an extremely talented development team, please apply to More ❯

one or more of the following database systems – DynamoDB, DocumentDB, MongoDB Demonstrated expertise in unit testing and tools – JUnit, Mockito, PyTest, Selenium. Strong working knowledge of the PyData stack – pandas, NumPy for data manipulation; Jupyter Notebooks for experimentation; matplotlib/Seaborn for basic visualisation. Experience with data analysis and troubleshooting data-related issues. Knowledge of design patterns and software architectures … one or more of the following database systems – DynamoDB, DocumentDB, MongoDB Demonstrated expertise in unit testing and tools – JUnit, Mockito, PyTest, Selenium. Strong working knowledge of the PyData stack – pandas, NumPy for data manipulation; Jupyter Notebooks for experimentation; matplotlib/Seaborn for basic visualisation. Experience with data analysis and troubleshooting data-related issues. Knowledge of design patterns and software architectures More ❯

multiple sources, ensuring consistency, accuracy, and performance Requirements: 1-2+ years of professional experience in a software development role Strong proficiency in Python, including data libraries such as pandas, numpy and scipy Experience building front-end applications in React or a similar framework Solid understanding of modern software engineering practices and clean code principles Comfortable working in a fast More ❯

or any other scientific fields Experience with financial markets (rates/fx/credit) Experience with financial mathematics/modeling/statistics 3+ years of development experience with Python (pandas/numpy, etc.) or C Java Strong analytical skills Strong problem solving capabilities Experience working in a production environment Solid communication skills Able to work independently in a fast-paced More ❯

years of hands-on experience. You’ll help streamline client onboarding, build robust integrations, and play a key role in evolving the platform. 🛠 Tech Stack & Methodology Python (Dataclasses, Pandas, Asyncio) PostgreSQL , AWS (ECS, Lambda, SQS) Agile (XP), TDD, CI/CD, and strong automation culture If you're familiar with these tools—or eager to dive in—this is the More ❯

years of hands-on experience. You’ll help streamline client onboarding, build robust integrations, and play a key role in evolving the platform. 🛠 Tech Stack & Methodology Python (Dataclasses, Pandas, Asyncio) PostgreSQL , AWS (ECS, Lambda, SQS) Agile (XP), TDD, CI/CD, and strong automation culture If you're familiar with these tools—or eager to dive in—this is the More ❯

years in a leadership or senior role. Proven experience in a startup or fast-paced environment. Strong proficiency in Python, SQL, and data science libraries (e.g., scikit-learn, pandas, TensorFlow/PyTorch). Experience working with financial data, risk modelling, or algorithmic trading is a plus. Familiarity with cloud platforms (AWS, GCP, or Azure) and modern data stack tools (e.g. More ❯

Proficiency with AWS services such as Lambda, DynamoDB, S3, SNS, SQS, and Serverless EMR Experience with SQL and NoSQL databases Hands-on Python experience, particularly with data libraries (e.g., pandas, scikit-learn) Familiarity with RESTful APIs and event-driven architectures Strong debugging, system design, and testing skills (e.g., JUnit) Passion for building scalable, reliable platforms supporting real-world use cases More ❯

from multiple sources, ensuring consistency, accuracy, and performance Requirements: 1–2+ years of professional experience in a software development role Strong proficiency in Python, including data libraries such as pandas, numpy and scipy Experience building front-end applications in React or a similar framework Solid understanding of modern software engineering practices and clean code principles Comfortable working in a fast More ❯

3+ years’ software engineering experience, where Python is your main language Bachelor’s degree in Computer Science or Engineering (or related field) Substantial experience with Python libraries: numpy, scipy, pandas, matplotlib, sklearn, etc. Passion for building clean, reliable and maintainable software Strong quantitative reasoning skills Highly skilled at multitasking and time management in a fast-paced environment Market-leading salary More ❯

years in a leadership or senior role. Proven experience in a startup or fast-paced environment. Strong proficiency in Python, SQL, and data science libraries (e.g., scikit-learn, pandas, TensorFlow/PyTorch). Experience working with financial data, risk modelling, or algorithmic trading is a plus. Familiarity with cloud platforms (AWS, GCP, or Azure) and modern data stack tools (e.g. More ❯

Proficiency with AWS services such as Lambda, DynamoDB, S3, SNS, SQS, and Serverless EMR Experience with SQL and NoSQL databases Hands-on Python experience, particularly with data libraries (e.g., pandas, scikit-learn) Familiarity with RESTful APIs and event-driven architectures Strong debugging, system design, and testing skills (e.g., JUnit) Passion for building scalable, reliable platforms supporting real-world use cases More ❯