Full-time · Hybrid
Lead Machine Learning Engineer
This is a pivotal leadership position within a global insurance firm, designed for a technical expert who thrives on building both systems and people. You will own the MLOps strategy, ensuring that machine learning initiatives move seamlessly from the lab to the real world. It is a rare chance to define the engineering culture of a major financial institution.
SPG Resourcing · London, England, United Kingdom · Posted 24 April 2026
The role
Overview
This is a pivotal leadership position within a global insurance firm, designed for a technical expert who thrives on building both systems and people. You will own the MLOps strategy, ensuring that machine learning initiatives move seamlessly from the lab to the real world. It is a rare chance to define the engineering culture of a major financial institution.
What they need
Requirements & Skills
Key Responsibilities
- Directly manage and mentor a team of Machine Learning Engineers
- Define the long-term ML engineering strategy and MLOps roadmap
- Establish and enforce standards for model monitoring, retraining, and deployment
- Collaborate with data science teams to productize experimental models
- Ensure all ML systems meet strict security and operational governance standards
Essential
- Proven experience in leading and managing engineering teams
- Expertise in MLOps and machine learning deployment strategies
- Strong background in cloud platforms and infrastructure
- Experience in setting engineering standards and operational guardrails
- Ability to conduct architectural investigations and proof-of-concepts
Preferred
- Experience within the insurance or financial services sector
- Background in enterprise-scale digital transformation projects
- Advanced knowledge of security and compliance in regulated environments
Key Skills
Machine Learning EngineeringMLOpsPeople ManagementCloud InfrastructureSoftware Engineering Best PracticesSystem ArchitecturePerformance ManagementStrategic PlanningStakeholder Management
Networking
People to Know
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Perks
Benefits & perks
- Competitive salary up to £95,000
- Hybrid working arrangement
- Opportunity to lead a global digital transformation
- Mentorship and professional development programs
- Exposure to cutting-edge AI and data technologies
Next step
Apply now
Found via www.spgresourcing.com