1 to 12 of 12 SciPy Jobs in the UK excluding London

and algorithm development. Proficiency in quantitative analysis, statistical modeling, time series analysis, and data visualization. Experience with quantitative libraries and frameworks such as NumPy, SciPy, pandas, TensorFlow, or PyTorch. Familiarity with financial markets, trading instruments, and market microstructure. more »

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 12 month contract with more »

of one or more relevant database technologies e.g. Oracle, MongoDB Proficient with a range of open source frameworks and development tools e.g. NumPy/SciPy/Pandas, Pyramid, AngularJS, React Familiarity with a variety of programming styles (e.g. OO, functional) and in-depth knowledge of design patterns Personal Attributes: Candidates more »

Awards 2022: “Industry Choice of SaaS or Technology” and “Best Influencer Marketing Technology” OUR DATA STACK: Our main technologies are: Python (ScikitLearn, Pandas, Numpy, Scipy) PostgreSQL Google Cloud KEY REMIT: Your responsibilities will fall across two areas: Creating algorithms and using existing technology to generate reports and insight more quickly more »

monitoring solution that will change the planet for the better. Tech Stack: Python GNU/Linux Mathematical + Scientific Libraries (Numpy etc..) Azure NumPy, SciPy, Matplotlib, Pandas, Scikit-learn, TensorFlow, PyTorch, scikit-learn, Keras, matplotlib, seaborn, plotly, bokeh, Altair, Django, Flask, requests, BeautifulSoup, Jinja2 Humand Talent Solutions and their clients more »

skills (OOP) Experience working in a hardware-development context - Scientific Instrumentation/industrial process control/electronics/imaging Scientific application development experience - NumPy, SciPy etc Interfacing with hardware as serial, USB, CANbus or PLC networking devices Excellent technical communication skills If you are a Senior Python Software Engineer and more »

skills (OOP) Experience working in a hardware-development context - Scientific Instrumentation/industrial process control/electronics/imaging Scientific application development experience - NumPy, SciPy etc Interfacing with hardware as serial, USB, CANbus or PLC networking devices Excellent technical communication skills If you are a Senior Python Software Engineer and more »

pipeline tooling, working closely with developers. What You Bring: Proven experience with large spreadsheets/databases (Excel, MySQL). Proficiency in Python (NumPy, pandas, SciPy). Comfort with Linux and command line tools. Meticulous attention to detail and strong interpersonal and communication skills. Bonus Points For: Knowledge of machine learning more »

and analytical techniques and concepts sampling methods, Regression Properties of distributions Weighting sample-based data Statistical tests proper usage Real-world applications. Python - NumPy, SciPy, Pandas, MLlib, scikit-learn, and other common data and machine learning related libraries Working knowledge of SQL, data structures and databases (Snowflake - desirable) This is more »

and analytical techniques and concepts sampling methods, Regression Properties of distributions Weighting sample-based data Statistical tests proper usage Real-world applications. Python - NumPy, SciPy, Pandas, MLlib, scikit-learn, and other common data and machine learning related libraries Working knowledge of SQL, data structures and databases (Snowflake - desirable) This is more »

digital communication systems will be highly valued. · Signal Processing : Knowledge of signal processing algorithms and proficiency in tools such as MATLAB or Python (NumPy, SciPy) for the simulation and analysis of communication systems. · Regulatory Knowledge : Familiarity with international regulatory standards and compliance requirements for wireless systems (e.g., FCC, ETSI) is more »

develop and deploy AI models. Requirements: PhD in AI or Computer Science with at least one top-tier publication. Strong proficiency in Python, Numpy, Scipy, and Tensorflow/PyTorch. Extensive understanding of state-of-the-art LLMs and the latest research methods and best practices. Experience in developing ML pipelines more »