Senior ML Engineer — Lead Production ML & Client Impact

Methodfi; City of London; Hybrid; GBP 75,000 - 95,000; Full time

Job summary

A leading AI company in London is seeking a Senior Machine Learning Engineer to lead the development of cutting-edge AI systems. You will design scalable ML software and infrastructure, collaborate across teams to tackle client challenges, and mentor junior engineers. Candidates should have extensive experience in ML, strong Python skills, and proficiency with cloud platforms and containerization technologies. This role offers hybrid work flexibility, competitive benefits, and an opportunity to make a significant impact in AI.

Benefits

Unlimited Annual Leave Policy

Private healthcare and dental

Enhanced parental leave

Family-Friendly Flexibility

Sanctus Coaching

Hybrid Working (2 days in office)

Qualifications

• Significant experience in operationalising models with TensorFlow or PyTorch.
• Deep expertise in software engineering and strong Python skills.
• Hands-on experience with cloud platforms, including architecture and security.
• Extensive experience with Docker and Kubernetes to manage applications.
• Ownership and autonomy in projects, thriving in fast-paced environments.
• Exceptional communication skills with technical and non-technical stakeholders.

Responsibilities

• Lead technical scoping and architectural decisions for ML systems.
• Design and build production-grade ML software and infrastructure.
• Implement best practices for deploying machine learning at scale.
• Collaborate to solve client challenges and leverage opportunities.
• Act as a technical advisor, translating concepts into strategies.
• Mentor junior engineers, shaping team culture and skills.

Skills

Machine Learning lifecycle understanding

Python programming

Cloud platform experience (AWS, Azure, GCP)

Docker and Kubernetes

Communication skills

Leadership and mentoring

Tools

TensorFlow

PyTorch

Job description

A leading AI company in London is seeking a Senior Machine Learning Engineer to lead the development of cutting-edge AI systems. You will design scalable ML software and infrastructure, collaborate across teams to tackle client challenges, and mentor junior engineers. Candidates should have extensive experience in ML, strong Python skills, and proficiency with cloud platforms and containerization technologies. This role offers hybrid work flexibility, competitive benefits, and an opportunity to make a significant impact in AI.