1 to 2 of 2 Permanent Feature Engineering Jobs in the North West

Can we consistently extract sentiments from free text tenant responses to support the measurement, reporting and directed improvement of tenant satisfaction Working with data engineering to determine how we best represent network data within a graph database? What features can we detect and model from this? For example, in … swathe of our interesting problems catalogue. Of course this includes an excellent familiarity with the data science process: experiment/hypothesis formation, data selection, feature engineering, model selection, sampling/cross validation, hyperparameter tuning, model performance metrics, effective code and notebook documentation. Experience of working in a Cloud … Spark. Experience across common supervised, unsupervised, semi-supervised, reinforcement machine learning techniques What technical skills are required Accomplished Python coder. Data wrangling and data engineering excellence using primarily Python and SQL across structured, semi-structured and unstructured data. Ability to use dimension reduction techniques (PCA, encoders etc.) Excellent familiarity more »

it is rewarding. Every tick of the clock, our content reaches millions of people globally, which is made possible by our top-notch Software Engineering team. They've been instrumental in pioneering innovative products and unique features that have firmly positioned us at the forefront of our industry. We … GitHub for version control and practice pair programming and Test-Driven Development where possible. Here is the list: • Experience of modern Python development software engineering best practices • Knowledge of software development principles, design patterns and best practices • Experience with AWS services such as SageMaker, S3, EC2, VPC, Lambda, Redshift … non-relational databases, data modelling and design principles. • Test Driven Development and testing practices. • Knowledge of infrastructure-as-code tools (CDK, CloudFormation) • Knowledge of feature engineering, data pre-processing, data pipelines • Familiarity with containerisation technologies (Docker) and orchestration (Kubernetes) • Familiarity with Machine Learning techniques and frameworks About the more »