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 »
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 »
environment. Proficiency in programming languages such as Python, R, or Java, as well as experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, SciPy). Strong knowledge of machine learning techniques and algorithms (e.g., regression, classification, clustering, neural networks). Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau more »
modern version control and continuous deployment pipelines. The following are desirable but not essential requirements: · Knowledge of writing scientific applications in Python using NumPy, SciPy, matplotlib and similar. · Knowledge of writing numerical simulations of electromagnetic scattering in semiconductors. · Knowledge of working with event-driven, multi-threaded, parallel, or concurrent systems. more »
Providing relevant insights Advancedstatisticalandanalyticaltechniquesand 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 performance to inform design and implementation decisions. Software development experience and knowledge of C++11/14/17. Working knowledge of Python (Numpy, Scipy, Jupyter Notebooks, etc). A measured, scientific approach to building complex engineering systems Extra kudos if you have: The ability to understand and debug complex more »
