Senior Machine Learning Engineer

London (hybrid) or Remote base with consultative travel

Sole British Nationality required

Anson McCade is delighted to be supporting a leading AI and technology-driven organisation in the search for a Senior Machine Learning Engineer.

This is an exciting opportunity to join a high-performing team at the forefront of AI innovation, helping clients solve complex business challenges through the design, development and deployment of scalable machine learning solutions.

As a Senior Machine Learning Engineer, you will play a key role in shaping technical strategy, leading engineering decisions, and delivering production-grade ML systems that operate at scale. This position combines hands-on engineering, technical leadership, and client engagement, making it ideal for someone who thrives in a fast-paced, growth-focused environment.

The Role:

As a Senior Machine Learning Engineer, you will:

• Lead technical discovery, solution design, and architectural decisions for complex machine learning initiatives.
• Design, build, and deploy scalable, production-ready ML applications, tools, and infrastructure.
• Establish engineering best practices and standards for machine learning deployment across the organisation.
• Collaborate with data scientists, software engineers, product teams, and commercial stakeholders to deliver impactful AI solutions.
• Act as a trusted technical advisor for clients, translating sophisticated technical concepts into practical business outcomes.
• Mentor and support junior engineers, contributing to the growth of the engineering team and technical culture.
• Drive innovation across AI and machine learning projects, ensuring solutions meet both operational and ethical standards.
• Extensive experience across the full machine learning lifecycle, from model development to deployment and monitoring.
• Hands-on experience operationalising models using frameworks such as TensorFlow and/or PyTorch.
• Strong software engineering fundamentals with expert-level Python development skills.
• Experience building scalable, maintainable, and reusable software systems.
• Strong cloud engineering experience across AWS, Azure, or GCP, including architecture, security, and infrastructure considerations.
• Proven experience using Docker and Kubernetes to deploy and manage applications in production environments.
• Ability to operate effectively within fast-paced and high-growth organisations.
• Excellent stakeholder management and communication skills, with the ability to engage confidently with both technical and non-technical audiences.

Why Apply?

This is an opportunity to work on challenging and meaningful AI projects alongside talented engineers and data scientists, influencing how machine learning is delivered at scale. You'll have the autonomy to drive technical decisions, engage directly with clients, and help shape the future direction of innovative AI solutions.