Machine Learning Engineer

Summary

The job is for a Machine Learning Engineer at Ripjar, a growing tech company that helps governments and organizations detect and prevent criminal activities. The role involves designing, developing, and maintaining machine learning solutions and models for their analytics and data products, with a focus on enhancing system performance and scalability.

Requirements

• Good understanding of machine learning
• Experience training and deploying machine learning models within products at scale, including ongoing maintenance
• Proficiency using a range of machine learning techniques including Natural Language Processing techniques for solving problems, and ideally making use of Large Language Models
• Proficiency in Python, particularly with machine learning and data science libraries such as PyTorch/Tensorflow, scikit-learn, numpy and pandas
• Good communication and interpersonal skills
• Experience working with large-scale data processing systems such as Spark and Hadoop
• Experience in software development in agile environments and be an advocate of the software development lifecycle
• Experience using and implementing ML Operations approaches

Responsibilities

• Design and implement machine learning solutions
• Develop and optimise machine learning models
• Ensure integration of ML models into Ripjar’s software products and data processing pipelines
• Implement feature requests for Ripjar’s analytics components
• Work with Ripjar's Data Engineers and engineering teams to support the scaling up and integration of new analytics and models into Ripjar's products and data processing pipelines
• Produce statistical tests and summarise test outputs
• Document system designs, models and test methodologies
• Provide support to stakeholders in understanding the implementation of analytics, models and test results
• Make use of Ripar’s large-scale data processing and analysis infrastructure to analyse data sets in order to identify patterns and to produce statistical outputs to support the development of new analytics and models

Preferred Qualifications

Working knowledge of statistics and statistical models is valuable

Benefits

• Base Salary of up to £70,000 per year DOE
• 25 days annual leave, rising to 30 days after 5 years of service
• Hybrid working option for employees
• Company Share Scheme
• Private Family Healthcare
• Employee Assistance Programme
• Company contributions to your pension
• Enhanced maternity/paternity pay
• The latest tech including a top of the range MacBook Pro
• Candidates can work from our Cheltenham, Bristol or London offices
• Offices equipped with well-stocked pantries with food, snacks and drinks when in the office