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Machine Learning Engineer | Senior/Lead | Real Time Analytics | Insurance | City of London
3 months ago
Machine Learning Engineer | Senior/Lead | Real Time Analytics | Insurance | City of London
Are you a forward-thinking data expert ready to lead the development and deployment of cutting-edge predictive analytics solutions? Join our dynamic team and be a part of transforming how business decisions are made with real-time data insights
Location: City of London (Ideally 2 days on-site)
15 minutes’ walk from Liverpool Street, Bank, and London Bridge. 5 minutes’ walk from Fenchurch Street.
Possibility of the position being Birmingham or Manchester, but London is the preferred.
About Us: Our Strategic Analytics division is a trailblazing team at the forefront of driving business excellence through innovative data solutions. We leverage advanced cloud technologies like Snowflake, Azure, and Databricks to deliver top-tier data insights. Our commitment to excellence has resulted in a 100% adoption rate of our tools and services. The role is integral to our mission, especially as we expand our capacity to deliver real-time predictive analytics and scoring solutions.
Key Responsibilities:
- Lead Real-Time Analytics: Oversee the orchestration and production of real-time scoring engines and predictive analytic solutions using Azure Data Factory, Function Apps, and other cutting-edge tools.
- Manage Deployments: Spearhead the deployment of real-time analytics services, ensuring seamless integration and continuous operation across multiple platforms.
- Data Mastery: Utilize SQL, Python, and Snowflake to understand, analyze, and optimize data performance, implementing best practices to enhance our data solutions.
- Stakeholder Collaboration: Collaborate closely with project stakeholders and fellow developers to ensure project success, maintaining effective communication and alignment on project goals.
- Drive Code Development: Manage code development and deployment processes using Azure Data Factory, VS Code, and GitHub, ensuring quality and efficiency in our technical workflows.
- Promote Best Practices: Contribute to and promote the evolution of best practices within the team, fostering a culture of continuous improvement.
- Document Processes: Create and manage comprehensive documentation for technical workflows and implementation processes, ensuring clarity and consistency.
Why You Should Apply:
- Leadership Experience: 2+ years of leading machine learning and implementation projects, with a focus on real-time data solutions.
- Python Proficiency: 2+ years of Python development experience, with expertise in API development and data manipulation.
- Azure Expertise: Experience with Azure Functions and cloud technologies like Snowflake and Databricks is highly desirable.
- Industry Insight: Experience building data structures in an insurance setting is highly valued, particularly in commercial or general insurance.
- MLOps Knowledge: Familiarity with the MLOps framework is essential, as it underpins our approach to managing machine learning lifecycles.
- Collaboration Skills: Exceptional ability to build relationships and collaborate effectively with diverse teams and stakeholders.
- Problem-Solving Ability: Strong skills in handling ambiguity and breaking down complex problems into manageable solutions.
- Data Warehousing: Thorough understanding of data warehousing concepts and design, essential for developing robust data solutions.
Desired Skills and Experience:
- Professional Experience: Proven track record in data engineering and analytics, with experience in managing and orchestrating data projects.
- Technical Proficiency: Strong skills in data manipulation, performance optimization, and the integration of machine learning models into production.
- Educational Background: Degree in Computer Science, Engineering, Statistics, Mathematics, Actuarial Science, Data Analytics, or a related field.
Compensation and Benefits:
- Competitive Salary: Offered based on experience, with flexibility for the right candidate.
- Comprehensive Benefits Package:
- Critical Illness and Life Assurance cover.
- Generous pension scheme with matching contributions.
- Private Medical Insurance and health cash plans.
- Employee Share Purchase Plan (ESPP).
- Gym membership discounts and retail discounts.
- Leisure travel insurance and charitable giving options.
Role Characteristics:
- Hands-On Management: The role allows for as much hands-on involvement as the candidate desires, with a strong emphasis on managing tasks and leveraging offshore resources effectively.
- Future Prospects: This position offers rapid career progression to a Director role, based on performance and fit within the team.
Interview Process:
- Technical Assessment: A problem-solving conversation with our US team to evaluate your technical skills and approach to complex challenges.
- Leadership and Project Management: A discussion with the US team focusing on your experience in leading projects and managing teams.
- Cultural Fit: An interview with the hiring manager and their supervisor to assess your fit within the team and company culture.
Ready to elevate your career in machine learning and analytics? Apply now and become a pivotal part of our innovative team. We are an equal opportunity employer committed to fostering a diverse and inclusive environment. Bring your expertise in data and analytics to our team and help us drive business success through real-time data solutions.
Keywords: Machine Learning | ML | Predictive Analytics | Production | Deployment | Data Engineering | Cloud Technologies | Azure | Snowflake | Python | Data Management | Insurance | Financial Services | Project Management | MLOps | Data Science | Real-Time Scoring
