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. Strong problem-solving abilities and attention to detail, with a passion for more »
degree in a highly numerate subject is essential • Minimum 2 years' experience in Python development, including scientific computing and data science libraries (NumPy, pandas, SciPy, PySpark) • Solid understanding of object-oriented software engineering design principles for usability, maintainability and extensibility • Experience working with Git in a version-controlled environment • Experience more »
modelling purposes with a focus on optimising data pipelines Skill & Experience: Experience in Python development, including scientific computing and data science libraries (NumPy, pandas, SciPy, PySpark) Solid understanding of object-oriented software engineering design principles for usability, maintainability and extensibility Experience working with Git in a version-controlled environment Good more »
Romsey, England, United Kingdom Hybrid / WFH Options
Signly
CircleCI for DevOps practices Competent working with: Microservices Architecture a Machine Learning framework and tools (we use TensorFlow, PyTorch, Keras, Azure, NVIDIA ML, Pandas, SciPy, Numpy and OpenPose) Computer Networking (protocols, load balancing, etc) Experience working with Monitoring and alerting toolkits, monitors and dashboards (e.g. Prometheus, Grafana, Azure Monitor) infrastructure more »
scientists, engineers, and business stakeholders to understand project requirements and translate them into technical solutions. Utilise Python libraries and frameworks such as NumPy, Pandas, SciPy, and scikit-learn to perform data manipulation, statistical analysis, and machine learning tasks. Optimise code for performance, scalability, and maintainability, ensuring adherence to coding standards more »
Proficiency in machine learning methodologies and algorithms Expertise in popular data science platforms such as Alteryx and Python, including libraries and frameworks like NumPy, SciPy, Pandas, NLTK, TensorFlow, PyTorch, and Airflow Strong understanding of statistical analysis, encompassing distributions, statistical testing, regression, and other techniques Experience handling unstructured data sets Familiarity more »
Bellevue, Washington, United States Hybrid / WFH Options
Amazon Web Services, Inc
with neural deep learning methods and machine learning PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal more »
coding position. Requirements: Experience of building applications and platforms from scratch 5 plus years of Python experience in work environments Knowledge of Pandas, Numpy, Scipymore »
in Agile/Scrum methodology and framework. Experience with project management tools. Strong programming skills in Python (NumPy, Pandas, Matplotlib, Scikit-Learn, scikit-rf, SciPy). Familiarity with relational databases. Advanced Excel skills and UI prototyping. Lab experiments design and development experience. Knowledge of data analytics and signal processing techniques. more »
models for business application Experience in applied research PREFERRED QUALIFICATIONS Experience with modeling tools such as PyTorch, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark etc. Experience in building speech recognition, machine translation and natural language processing systems (e.g. more »
Manchester Area, United Kingdom Hybrid / WFH Options
Airtime Rewards
to work with large, transactional datasets, with an analytical mindset Strong knowledge of SQL and Python, including core data science libraries, e.g. Scikit-Learn, SciPy, TensorFlow, PyTorch, Pandas, Matplotlib Experience cleaning, exploring, and visualising data for stakeholders across the business Excellent communication skills, with the ability to explain complex machine more »
energy, mechanics). * At least 2 years of professional experience working with Python. * Proficiency in Python, encompassing common data science libraries like pandas, NumPy, SciPy, and scikit-learn. * Familiarity with standard software development tools and methodologies such as Git, CI/CD, and JIRA. * Experience in numerical optimization, including nonlinear more »
