Senior Machine Learning Engineer

6+ Years Experience required

Day to Day Activities will include

• Working on all stages of projects (planning, development, quality control, production)
• Design, build and ongoing maintenance of our strategic platform and tooling.
• Producing machine learning models including supervised and unsupervised methods
• Rapidly prototyping proof-of-concept idea
• Converting proof-of-concept projects to enterprise solutions
• Producing reports and presentations to communicate findings to stakeholders
• Investigate and understand emerging trends in data-related approaches, performing horizon-scanning that present current and future opportunities for the business.

Team Working

• Be an active member of the data & analytics team, contribute to team dynamics, ways of working and assisting with improvement opportunities
• Be an active member of internal Data and Analytics communities to contribute to team dynamics, ways of working and assisting with improvement opportunities
• Provide regular and accurate reports of progress to technical leads and the Project lead where required.
• Build strong relationships with stakeholders with a view to providing high-value solutions within the business whilst keeping communication channels always open
• Maintain strong technical awareness and familiarity with new and upcoming technologies around Data Integration and Business Intelligence Analysis. Be prepared to give a presentation or provide mentoring of any new technology or skills acquired in a collegiate environment

Stay abreast of the industry and participate in external communities to keep up to date and offer the most informed position when defining or consulting on solution design

Knowledge

• Knowledge of common data science techniques including data preparation, exploration and visualisation.
• Knowledge of data mining techniques in one or more areas of statistical modelling methods, time series, text mining, optimization, information retrieval.
• Ability to produce workflows using classification, clustering, regression, and dimensionality reduction.
• Ability to prototype statistical analysis and modelling algorithms and apply these algorithms for data driven solutions to problems in new domains.
• Ability to prototype statistical analysis and modelling algorithms and apply these algorithms for data driven solutions to problems in new domains.
• Knowledge of industry best practice in deploying data science solutions
• Strong knowledge of the AWS Well Architected Framework(s)