City of London, London, United Kingdom Hybrid / WFH Options
Etonwood Limited
/Masters/PhD ideally in both Quant Finance/Mathematics/Probability, et al., and Software Development/Computer Science. Expert Python (inc. Pandas, NumPy, SciPy, et al) Excellent understanding of Advanced Data Structures and Algorithms Experience of AWS, GCP or Azure Experience of high performance languages such as more »
of Linux and Windows, and use Python and C# as primary languages, with an emphasis on Python and the Python scientific stack: numpy, scipy, pandas, scikit-learn, etc. We implement the systems that require the highest data throughput in Java. We implement most of our long running services and analytics more »
Apache Airflow Skills years of experience in python scripting. in developing applications in Python language. to python-oriented Algorithm s libraries such as NumPy, pandas, beautiful soup, Selenium, pdfplumber, Requests etc. in SQL programming, Postgres SQL. knowledge on unit testing using PyTest on DevOps like CI/CD, Jenkins, Git. more »
the system to the next level. The tech stack: Kotlin (Spring: Boot, Data, Cloud and Security), Python (Django/Flask, NumPy, SciPy, Scikit-learn, Pandas, Statsmodels), AWS, Docker, Kubernetes, Kafka, Microservices, TDD. Based in Central London (closest train stations: Tottenham Court Road, Euston, Goodge Street) they re fully remote at more »
Chessington, London, United Kingdom Hybrid / WFH Options
Bennett and Game Recruitment LTD
and accurate reports, while Optimizing and maintaining relational databases (e.g., MySQL on MariaDB). Solid understanding of Python and its frameworks (primarily numpy and pandas libraries). Experience with front-end technologies such as HTML, CSS, JavaScript, and frameworks like JSON would be beneficial. Familiarity with version control systems (e.g. more »
in applying Artificial Intelligence in practical systems Experience in Machine Learning, NLP, Deep Learning, Neural Networks and data processing libraries (Tensorflow, Sci-kit learn, Pandas, Scipy, Numpy at least three or more) Experience in Data mining, Data warehousing, ETL Experience in handling large volumes of data on SQL, NoSQL and more »
Managers understand how to manage stakeholder relationships. Experience in Machine Learning, NLP, Deep Learning, Neural Networks and data processing libraries (Tensorflow, Sci-kit learn, Pandas, Scipy, Numpy at least three or more) Experience in in management either at a lead or support level. Experience in handling large volumes of data more »
with the following experience: Experience building enterprise systems in Python with a high level of Python fluency (mandatory) Core Python (mandatory) (mandatory) SQL (mandatory) Pandas, NumPy, SciPy etc (preferred) Cloud experience (preferred) TDD (mandatory) Experience writing clean, maintainable code (mandatory) Front office experience (preferred) This is an initial 6 month more »
time-series forecasting with large-scale, real-world datasets. Software development experience in Go, C/C++, Java, or similar. Experience using SQL, Python (Pandas, NumPy, Scikit-Learn, etc.)/R or equivalent. Experience with Data Storage, Ingestion, and Transformation (Spark, Kafka or similar tools). Experience developing cloud infrastructure more »
experience in Python programming • ideally 3-5 years of experience with schema design or dimensional data modeling • familiarity with Python frameworks and extensions like Pandas, Django, or Flask • ability to write robust automated unit and integration tests • excellent problem solving and troubleshooting skills • familiarity with financial modeling, data analytics tools more »
background in data clustering (correlation and hierarchical algorithms). Expert in SQL and Python, DBT, and standard data science libraries and frameworks such as pandas, numpy, scikit-learn, TensorFlow/PyTorch, PySpark, etc. Experience with Infrastructure-as-Code, Continuous Integration & Deployment patterns. Experience with PostgreSQL, Google Cloud Platform, and BigQuery. more »
SOLID) Excellent understanding of commercial development practices such as testing, documentation, package management and SDLC Excellent understanding of python for numerical programs. In particular, pandas and numpy are a must Excellent problem-solving skills Strong communication skills (the role will involve explaining complex algorithms to colleagues with varying technical and more »
