Senior Machine Learning Engineer

September 4

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Policy Expert

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The UK's leading insurtech using proprietary tech and data insights to disrupt the insurance industry.

Home insurance • Contents insurance • Buildings insurance • Home emergency • Legal expenses

501 - 1000

Description

• We are seeking a Senior Machine Learning Engineer to join our ML engineering team. • The ideal candidate will have strong experience in designing, implementing, and optimising machine learning models and systems. • You will play a pivotal role in architecting scalable ML solutions and collaborating with cross-functional teams to integrate these solutions into our product offerings. • Develop and maintain scalable machine learning models and pipelines, with a focus on deployment via AWS Sagemaker. • Implement MLOps frameworks to streamline model lifecycle around MLFlow, ensuring robust training, validation, deployment, and monitoring. • Collaborate with data scientists and product teams to translate business needs into effective ML strategies. • Optimise data processing workflows using tools like Spark, Docker, and cloud-native solutions. • Mentor and educate team members on ML engineering best practices. • Stay current with machine learning advancements, advocate for their integration, and lead the evaluation of tools to enhance workflows.

Requirements

• Degree in Computer Science, Information Science, Data Science, or a related quantitative field. • 3+ years of experience developing and shipping ML applications to production. • Extensive experience writing production Python code, strong experience with classic ML frameworks (Scikit-learn) and ideally familiar with at least one neural network framework such as PyTorch. • Experience with cloud environments (AWS preferred), microservices and implementing MLOps best practices. • Experience of mentoring more junior engineers. • Knowledge of the insurance industry would be an advantage but not essential.

Benefits

📍 This role will be based in our London office in a Hybrid mode. ⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. 📚 Learning budget of £1,000 a year for books, training courses and conferences. 🏥 Private medical cover with Vitality. 😁 Dental Insurance. 🚉 Travel season ticket loan. 🎉 Social events throughout the year. 🎟️ Access to selected London O2 events and use of a Private Lounge. 🌈 Employee Wellbeing Programme.