Senior Machine Learning Engineer

Location: London (Hybrid)
Salary: £95k-£110k + Benefits

About the Opportunity

Omnis Partners is working with a leading AI consultancy at the forefront of delivering responsible, production-grade AI solutions to global organisations. With over a decade of applied AI expertise, this organisation partners with clients across financial services, government, and industry to deliver meaningful, measurable impact.

This is an opportunity to join a highly respected team solving complex, real-world problems using cutting-edge machine learning.

The Role

As a Senior Machine Learning Engineer, you will lead the design, development, and deployment of scalable, production-ready AI systems. You’ll operate in a client-facing capacity, combining deep technical expertise with strong communication skills to deliver impactful solutions.

This is a hands-on role with significant influence over architecture, engineering standards, and delivery practices.

Key Responsibilities

• Lead technical scoping and architecture for complex ML systems
• Design, build, and deploy production-grade machine learning solutions
• Develop scalable ML infrastructure and tooling
• Establish best practices for deploying and managing ML systems at scale
• Collaborate with cross-functional teams including engineering, data science, and product
• Act as a trusted advisor to clients, translating technical concepts into business value
• Mentor junior engineers and contribute to team development

Technical Skills:

• Strong Python engineering skills with a focus on building robust, scalable systems
• Experience across the full ML lifecycle, including deployment and monitoring
• Hands-on experience with frameworks such as TensorFlow or PyTorch
• Strong cloud experience (AWS, Azure, or GCP)
• Experience with Docker and Kubernetes in production environments

Experience:

• Proven experience delivering production ML systems end-to-end
• Strong background in software engineering and system design
• Experience working in fast-paced, high-growth or consulting environments
• Ability to engage confidently with both technical and non-technical stakeholders
• Experience mentoring or leading engineers is highly desirable

What’s on Offer

• Competitive salary, bonus, and comprehensive benefits
• Flexible and hybrid working environment
• Private healthcare and enhanced parental leave
• Unlimited annual leave policy
• Coaching and personal development support
• Opportunity to work on high-impact AI projects across multiple industries