in their use. Be aware of alternatives and the PROs/CONs of the tool. Proficiency in using Excel/SQL/Python/Pandas/Analytics Workbench to process, transform, create variables and build models. Be or be working towards expert knowledge in a selection of these tools/ More ❯
in their use. Be aware of alternatives and the PROs/CONs of the tool. Proficiency in using Excel/SQL/Python/Pandas/Analytics Workbench to process, transform, create variables and build models. Be or be working towards expert knowledge in a selection of these tools/ More ❯
in their use. Be aware of alternatives and the PROs/CONs of the tool. Proficiency in using Excel/SQL/Python/Pandas/Analytics Workbench to process, transform, create variables and build models. Be or be working towards expert knowledge in a selection of these tools/ More ❯
in their use. Be aware of alternatives and the PROs/CONs of the tool. Proficiency in using Excel/SQL/Python/Pandas/Analytics Workbench to process, transform, create variables and build models. Be or be working towards expert knowledge in a selection of these tools/ More ❯
in their use. Be aware of alternatives and the PROs/CONs of the tool. Proficiency in using Excel/SQL/Python/Pandas/Analytics Workbench to process, transform, create variables and build models. Be or be working towards expert knowledge in a selection of these tools/ More ❯
data science, or software engineering roles • Bachelor’s degree or equivalent in Computer Science, Data Science, or related technical field • Strong Python programming (especially pandas, GeoPandas, Pydantic, boto3) • Experience with geospatial data and data engineering for ML applications • Cloud proficiency (preferably AWS) and experience with containerized environments (Docker, EKS) • Solid … ability to collaborate with cross-functional teams • Experience working with financial services or asset management domains preferred Technical Stack: Data Pipeline Stack: Python 3, pandas, GeoPandas, boto3, Pydantic, Data Version Control (DVC) 2 Core API Stack: Python 3, Django 4 Infrastructure: AWS, EKS, Docker, ADO (for CI/CD pipelines More ❯
data science, or software engineering roles • Bachelor’s degree or equivalent in Computer Science, Data Science, or related technical field • Strong Python programming (especially pandas, GeoPandas, Pydantic, boto3) • Experience with geospatial data and data engineering for ML applications • Cloud proficiency (preferably AWS) and experience with containerized environments (Docker, EKS) • Solid … ability to collaborate with cross-functional teams • Experience working with financial services or asset management domains preferred Technical Stack: Data Pipeline Stack: Python 3, pandas, GeoPandas, boto3, Pydantic, Data Version Control (DVC) 2 Core API Stack: Python 3, Django 4 Infrastructure: AWS, EKS, Docker, ADO (for CI/CD pipelines More ❯
Software Engineer – Energy and Trading Sector Location: London (2 days per week) Rate: Inside IR35 as provided by the contractor About the Role: We are seeking an experienced Software Engineer to join our global client's dynamic team in the More ❯
Software Engineer – Energy and Trading Sector Location: London (2 days per week) Rate: Inside IR35 as provided by the contractor About the Role: We are seeking an experienced Software Engineer to join our global client's dynamic team in the More ❯
practices across cloud-native microservices and data platforms. You'll develop scalable test automation frameworks with a focus on data validation using tools like Pandas, and lead strategies for testing data lakes. Collaborate closely with QA and Java/Spring Boot development teams to ensure data quality and reliability across … technology ecosystem. What Your Day Will Look Like Build scalable and robust frameworks for validating complex data systems, pipelines, and APIs using tools like Pandas, Great Expectations, and Java modules. Collaborate with development teams to design and implement automated tests for microservices, emphasizing Spring Boot and Java-based architectures. Implement … independently implement and use the automation frameworks. Skills, Knowledge, and Expertise Expertise in validating complex datasets, creating synthetic test data, and leveraging tools like Pandas and Python for comprehensive data quality assurance. Proven ability to build and maintain scalable test automation frameworks, with a focus on backend, API, and data More ❯
practices across cloud-native microservices and data platforms. You'll develop scalable test automation frameworks with a focus on data validation using tools like Pandas, and lead strategies for testing data lakes. Collaborate closely with QA and Java/Spring Boot development teams to ensure data quality and reliability across … technology ecosystem. What Your Day Will Look Like Build scalable and robust frameworks for validating complex data systems, pipelines, and APIs using tools like Pandas, Great Expectations, and Java modules. Collaborate with development teams to design and implement automated tests for microservices, emphasizing Spring Boot and Java-based architectures. Implement … independently implement and use the automation frameworks. Skills, Knowledge, and Expertise Expertise in validating complex datasets, creating synthetic test data, and leveraging tools like Pandas and Python for comprehensive data quality assurance. Proven ability to build and maintain scalable test automation frameworks, with a focus on backend, API, and data More ❯
City of London, London, United Kingdom Hybrid / WFH Options
RP Recruitment Ltd
hear from you. What Youll Do Design, build, and maintain Python services that power critical financial workflows. Work with modern data processing tools like pandas and polars to transform and analyze large datasets. Build async Python services using asyncio , and develop event-driven systems integrating AWS services (Lambda, SQS, EventBridge … Pythons standard library and familiarity with modern idioms (e.g., dataclasses , type annotations , async/await ). Experience with data transformation and analysis libraries like pandas or polars. Comfortable writing unit and integration tests with pytest . Practical experience with PostgreSQL (or another relational database), and understanding of schema design and … and impact Opportunities to shape the technical direction and engineering culture as we grow Our Tech Stack Languages: Python (3.10+), SQL Frameworks/Libraries: pandas, polars, dataclasses, asyncio, pytest Data: PostgreSQL, AWS S3 Infrastructure: AWS (Lambda, ECS, SQS, EventBridge), Docker, Terraform CI/CD: GitHub Actions, pre-commit, mypy, flake8 More ❯
our power market and dispatch models to grow and enhance Modo's product offering. We use Python and the standard scientific computing stack (Numpy, Pandas, SciPy, ScikitLearn, etc.). Working closely with our product and analytics functions to ensure the product we deliver aligns closely with user needs and provides … team. Qualifications: 3 to 5 years experience using Python (or another programming language e.g. R, C++, Java) and with the scientific computing stack (Numpy, Pandas, SciPy, ScikitLearn, etc.). A degree in a quantitative field such as mathematics, engineering, computer science, physics or a related discipline. Strong quantitative skills and More ❯
and techniques and/or experience with Large Language Models (fine tuning, RAG, agents) Are proficient with Python, including open-source data libraries (e.g Pandas, Numpy, Scikit learn etc.) Have experience productionising machine learning models Are an expert in one of predictive modeling, classification, regression, optimisation or recommendation systems Have … cloud infrastructure Experience with graph technology and/or algorithms Our technology stack Python and associated ML/DS libraries (Scikit-learn, Numpy, LightlGBM, Pandas, LangChain/LangGraph, TensorFlow, etc ) PySpark AWS cloud infrastructure: EMR, ECS, Athena, etc. MLOps: Terraform, Docker, Airflow, MLFlow More information: Enjoy fantastic perks like private More ❯
Lead Engineer - Python/JavaScript - AI MedTech - Salary + Equity - Hybrid, 1 day a week FRESH has partnered with an exciting start-up that is leveraging Artificial Intelligence to improve healthcare services. Through the use of advanced AI, this software More ❯
Lead Engineer - Python/JavaScript - AI MedTech - Salary + Equity - Hybrid, 1 day a week FRESH has partnered with an exciting start-up that is leveraging Artificial Intelligence to improve healthcare services. Through the use of advanced AI, this software More ❯
Wakefield, Yorkshire, United Kingdom Hybrid / WFH Options
Flippa.com
accessed in the most efficient and effective manner. Your Toolkit The Languages You Speak : Python, SQL, the dialect of data. Libraries Tools : Terraform, Flask, Pandas, FastAPI, Dagster, GraphQL, SQLAlchemy, GitLab, Athena. Your Trusted Companions : Docker, Snowflake, MongoDB, Relational Databases (eg MySQL, PostgreSQL), Dagster, Airflow/Luigi, Spark, Kubernetes. Your AWS … CI/CD) automation, rigorous code reviews, documentation as communication. Preferred Qualifications Familiar with data manipulation and experience with Python libraries like Flask, FastAPI, Pandas, PySpark, PyTorch, to name a few. Proficiency in statistics and/or machine learning libraries like NumPy, matplotlib, seaborn, scikit-learn, etc. Experience in building More ❯
Locus Robotics is a global leader in warehouse automation, delivering unmatched flexibility and unlimited throughput, and actionable intelligence to optimize operations. Powered by LocusONE, an AI-driven platform, our advanced autonomous mobile robots seamlessly integrate into existing warehouse environments to More ❯
Developer (Data Engineering & TDD) About the Role We're looking for a skilled Python Developer with strong experience in data wrangling and processing using Pandas and Polars , and a passion for writing clean, testable code using TDD . You'll be part of a collaborative engineering team focused on building … efficient, scalable data solutions that drive critical business insights. Key Responsibilities Design, develop, and maintain robust data processing pipelines using Python , Pandas , and Polars Apply test-driven development (TDD) practices to ensure code quality and reliability Optimize performance of data transformations on large-scale datasets Collaborate with data scientists, analysts … practices in data engineering Maintain clear documentation and participate in code reviews Requirements Must-Have: 3+ years of Python development experience Strong experience with Pandas and Polars for data manipulation Proven expertise in Test-Driven Development (TDD) using frameworks such as pytest or unittest Familiarity with Git, CI/CD More ❯
Scientist to join its innovative team. This role requires hands-on experience with machine learning techniques and proficiency in data manipulation libraries such as Pandas, Spark, and SQL. As a Data Scientist at PwC, you will work on cutting-edge projects, using data to drive strategic insights and business decisions. … tooling e.g. Sklearn) and (Deep learning frameworks such as Pytorch and Tensorflow). Understanding of machine learning techniques. Experience with data manipulation libraries (e.g. Pandas, Spark, SQL). Git for version control. Cloud experience (we use Azure/GCP/AWS). Skills we'd also like to hear about More ❯
Scientist to join its innovative team. This role requires hands-on experience with machine learning techniques and proficiency in data manipulation libraries such as Pandas, Spark, and SQL. As a Data Scientist at PwC, you will work on cutting-edge projects, using data to drive strategic insights and business decisions. … tooling e.g. Sklearn) and (Deep learning frameworks such as Pytorch and Tensorflow). Understanding of machine learning techniques. Experience with data manipulation libraries (e.g. Pandas, Spark, SQL). Git for version control. Cloud experience (we use Azure/GCP/AWS). Skills we'd also like to hear about More ❯
Scientist to join its innovative team. This role requires hands-on experience with machine learning techniques and proficiency in data manipulation libraries such as Pandas, Spark, and SQL. As a Data Scientist at PwC, you will work on cutting-edge projects, using data to drive strategic insights and business decisions. … tooling e.g. Sklearn) and (Deep learning frameworks such as Pytorch and Tensorflow). Understanding of machine learning techniques. Experience with data manipulation libraries (e.g. Pandas, Spark, SQL). Git for version control. Cloud experience (we use Azure/GCP/AWS). Skills we'd also like to hear about More ❯
Scientist to join its innovative team. This role requires hands-on experience with machine learning techniques and proficiency in data manipulation libraries such as Pandas, Spark, and SQL. As a Data Scientist at PwC, you will work on cutting-edge projects, using data to drive strategic insights and business decisions. … tooling e.g. Sklearn) and (Deep learning frameworks such as Pytorch and Tensorflow). Understanding of machine learning techniques. Experience with data manipulation libraries (e.g. Pandas, Spark, SQL). Git for version control. Cloud experience (we use Azure/GCP/AWS). Skills we'd also like to hear about More ❯
london, south east england, United Kingdom Hybrid / WFH Options
Datatech Analytics
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 ❯
Business Intelligence Engineer, RBS ARTS About strives to be Earth's most customer-centric company where people can find and discover virtually anything they want to buy online. By giving customers more of what they want - low prices, vast selection More ❯