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 »
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 »
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 »
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 »
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 »
on the core analytics and dependency graph services. Requirements: Very Strong Python Experience (expected minimum 3+ Years) Strong Experience With Numerical Python (NumPy/Pandas) Experience with Distributed Systems Strong AWS experience (Lambdas ideally) STEM degree (preferred) On Offer: Salary up to £90,000 Hybrid working arrangement bonus structure more »
to machine learning or more general statistical analysis Strong software development skills with proficiency in Python or C++ Experience with analytics frameworks such as Pandas, Apache Spark, Dask, or Flink Experience with machine learning frameworks such as TensorFlow, JAX, PyTorch, Spark MLlib, Keras, or scikit-learn Experience in cloud-based more »
the ability to become a fluent Python programmer in a short timeframe An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid more »
to add experts to the machine learning team! The best-matched machine learning engineer will have the following experience and abilities: Tech: Python (ScikitLearn, Pandas, Numpy, Scipy) and GCP Hybrid working in London, 3 days a week in the office Desirable: experience mentoring junior team members and reviewing code Must more »
Science Computer Vision Frameworks used in Machine Learning and Data Science such as TensorFlow, PyTorch, and scikit-learn. Data Science and Visualisation libraries including Pandas, NumPy, scikit-learn, matplotlib, Seaborn. Cloud services used in machine learning and data science, such as Azure, OpenAI, Hugging Face, AWS ML/AI. Machine more »
their growth and experience. Excitement to learn parts of our tech stack that you might not already know. Our current tech stack includes Python, Pandas, Prefect, TypeScript, and React. We work a lot with PostgreSQL, Docker, and Kubernetes, on cloud services provided by Google Cloud Platform. Solid computer science fundamentals more »
