Machine Learning Engineer

Job Type:

Permanent

Build a brilliant future with Hiscox
 

Position:                              Machine Learning EngineerReporting to:                     Lead Data ScientistBand:                                    IILocation:                             York / Manchester - Hybrid IntroductionWe are looking for an experienced machine learning engineer to join a newly formed data science team. You will have the opportunity to shape the data science delivery pipeline by building the infrastructure to acquire data from the data platform, deploy models, maintain, monitor and upgrade core data science services in both Azure’s native platform and in databricks.  You will be working closely with data scientists in a skills crossover methodology, and will contribute to the data science workflow, discussions and development, but still maintain a key function in the graduation of models from research into production.  The role of the Machine Learning EngineerThis is an ideal role for an individual who is passionate about the use of data science to influence decisions and is keen to learn more about delivering value through the use of data. Key ResponsibilitiesOwnership of the deployment framework for all data science services.  You will have oversight of how data will flow into the data science life cycle from the wider business data warehouseOversight of the automation of the data science life cycle (dataset build, training, evaluation, deployment, monitoring) when we move to productionGood understanding of core data science principles and understanding of challenges of migrating research code into production codeInterest and ability to work closely with a team and collaborate on all aspects of the data science and deployment lifecycleWork collaboratively with data scientists, data engineers and other technical people including pricing teams in order to help support maturation of analytics practice within the organization.Writing high quality python code using industry best practice for model training and deployment Required skills:Strong python programming skillsGood knowledge of software engineering best practiceExperience with TDD (pytest or equivalent)Experience with cloud native deployments (currently in Databricks and Azure)Experience with DatabricksExperience with managed endpoints, AKS or equivalentExperience with VCSExperience with CI/CDUnderstanding / identifying opportunity to apply machine learning knowledge to solve business problemsExperience in developing predictive and prescriptive analysis (predictive modelling, machine learning or data mining) used to draw key business insights and clearly articulate findings for target audience Desirable SkillsGraduate or Postgraduate qualification or equivalent experience in a relevant discipline e.g. engineering, mathematics, physics, statisticsExperience of data science in finance, insurance or Ecommerce is an advantage but not required.Experience with neural networks and Tensor Flow, CatBoost, XGBoost, SKlearn, Pandas Our technologyWe are currently developing a new data platform in databricks that encompasses all our UK business unit’s data.  This data will be managed and made available to the data science team to consume.  The ML Engineer will be able to leverage this and extend it to realise full end to end data science services. Rewards On top of a competitive salary, we also offer a wide range of benefits. 25 days annual leave plus two Hiscox days4 week paid sabbatical after every 5 years of serviceCompany and personal performance related bonus.Contributory pension.Other benefits include:Money towards gym membership.Christmas gift.4 x life insurance.About usAt Hiscox we care about our people. We hire the best people for the job and we’re committed to diversity and creating a truly inclusive culture, which we believe drives success. As an international specialist insurer we are far removed from the world of mass insurance products, selectively focusing on key areas of expertise and strength, all of which is underpinned by a culture that encourages us to challenge convention and always look for a better way.
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