Machine Learning Engineer

Hiscox Ltd; York; On-site; GBP 45,000 - 80,000; Full time

Job summary

A leading company in specialized insurance is seeking an ML Engineer to enhance their data science capabilities. This role involves overseeing data deployment frameworks, collaborating with technical teams, and utilizing cloud platforms like Databricks. The ideal candidate will possess strong Python skills and a background in applying machine learning to drive business insights, alongside a supportive work culture with competitive benefits including generous annual leave and pension contributions.

Benefits

Competitive salary with benefits

25 days annual leave plus two Hiscox days

Four-week paid sabbatical after five years of service

Contributory pension

Gym membership subsidy

Christmas gift

Four times life insurance

Qualifications

• Strong Python programming skills and knowledge of software engineering best practices.
• Experience with cloud deployments and understanding of machine learning to solve business problems.
• Graduate or postgraduate qualification preferred.

Responsibilities

• Oversee data flow into the data science lifecycle from the business data warehouse.
• Collaborate with teams on data science deployment lifecycle.
• Write high-quality Python code for model training and deployment.

Skills

Python programming

TDD (pytest or equivalent)

Cloud-native deployments

Version Control Systems

Machine learning application

Education

Graduate or postgraduate qualification in engineering, mathematics, physics, or statistics

Tools

TensorFlow

Databricks

SKlearn

Pandas

Job description

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Responsibilities

• Ownership of the deployment framework for all data science services, overseeing data flow into the data science lifecycle from the business data warehouse.
• Oversight of automation of the data science lifecycle (dataset build, training, evaluation, deployment, monitoring) during production.
• Good understanding of core data science principles and challenges in migrating research code into production.
• Ability to work closely with a team and collaborate on all aspects of data science and deployment lifecycle.
• Collaborate with data scientists, data engineers, and other technical teams, including pricing teams, to support analytics maturity within the organization.
• Write high-quality Python code following industry best practices for model training and deployment.

Required skills:

• Strong Python programming skills.
• Knowledge of software engineering best practices.
• Experience with TDD (pytest or equivalent).
• Experience with cloud-native deployments (Databricks and Azure).
• Experience with Databricks, managed endpoints, AKS or equivalent.
• Experience with Version Control Systems (VCS) and CI/CD pipelines.
• Understanding of applying machine learning to solve business problems.
• Experience in developing predictive and prescriptive analytics (machine learning, data mining) to derive business insights and communicate findings effectively.

Desirable Skills:

• Graduate or postgraduate qualification or equivalent experience in engineering, mathematics, physics, or statistics.
• Experience in finance, insurance, or e-commerce data science (preferred but not required).
• Experience with neural networks, TensorFlow, CatBoost, XGBoost, SKlearn, Pandas.

Our technology:

We are developing a data platform in Databricks that encompasses all UK business unit data, supporting the data science team. The ML Engineer will leverage and extend this platform to deliver comprehensive end-to-end data science services.

Rewards:

• Competitive salary with a wide range of benefits.
• 25 days annual leave plus two Hiscox days.
• Four-week paid sabbatical after every five years of service.
• Contributory pension.
• Additional benefits: gym membership subsidy, Christmas gift, four times life insurance.

About us:

At Hiscox, we value our people, foster diversity, and strive for an inclusive culture that drives success. As an international specialist insurer, we focus on key areas of expertise, encouraging innovation and challenging convention.

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Work with amazing people and be part of a unique culture. Job ID R0017401