Experience 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. - Master's degree in math/statistics/engineering or other equivalent More ❯
statistical 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 More ❯
Edinburgh, Midlothian, Scotland, United Kingdom Hybrid / WFH Options
Bright Purple Resourcing
and large-scale projects. What youll bring to the role Strong grounding in ML approaches, techniques and frameworks Python, Pandas, Tensor Flow, Scikit-learn, Numpy, SciPy Experience deploying to the cloud and working with Azure (Azure DevOps, Azure ML, Azure SQL, ADF etc.) Able to work with databases like SQL More ❯
statistical 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 More ❯
Databases (e.g., Postgres) OpenAPI (Swagger) Unittest Strong experience in writing Dockerfiles and optimising Docker images. Familiarity with data engineering concepts and tools (e.g., Pandas, Numpy, Zarr). Solid understanding of security principles and best practices for handling sensitive data. Desired Characteristics: Excellent written and verbal communication skills, capable of explaining More ❯
the UK Ability to communicate in English fluently The ' nice to have ' but not essential for applying Strong experience with Python libraries - pandas or numpy Experience with CI/CD, including containerisation (Docker), test automation and cloud deployment Experience with neural rendering, computer vision and/or computer graphics Collaborating More ❯
