Machine Learning Engineer

Responsibilities

Ownership 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 warehouse
Oversight of the automation of the data science life cycle (dataset build, training, evaluation, deployment, monitoring) when we move to production
Good understanding of core data science principles and understanding of challenges of migrating research code into production code
Interest and ability to work closely with a team and collaborate on all aspects of the data science and deployment lifecycle
Work 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 skills
Good knowledge of software engineering best practice
Experience with TDD (pytest or equivalent)
Experience with cloud native deployments (currently in Databricks and Azure)
Experience with Databricks
Experience with managed endpoints, AKS or equivalent
Experience with VCS
Experience with CI/CD
Understanding / identifying opportunity to apply machine learning knowledge to solve business problems
Experience 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 Skills
Graduate or Postgraduate qualification or equivalent experience in a relevant discipline engineering, mathematics, physics, statistics
Experience of data science in finance, insurance or merce is an advantage but not required.
Experience with neural networks and Tensor Flow, CatBoost, XGBoost, SKlearn, Pandas

Our technology
We are currently developing a new data platform in databricks that epasses 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 apetitive salary, we also offer a wide range of benefits.
25 days annual leave plus two Hiscox days
4 week paid sabbatical after every 5 years of service

Contributory pension.
Other benefits include:
Money towards gym membership.
Christmas gift.
4 x life insurance.
About us
At Hiscox we care about our people. We hire the best people for the job and we'remitted 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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Work with amazing people and be part of a unique culture Job ID R0017401