Sundayy
Machine Learning Engineer
Get notified of more jobs like this · No spam, ever
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
About The Company
Maze is a pioneering technology company specializing in AI-driven cybersecurity solutions. As a well-funded startup, Maze is dedicated to developing innovative applications of large language models (LLMs) and AI agents to address critical security challenges faced by organizations worldwide. Our mission is to harness the power of artificial intelligence to create scalable, robust, and impactful cybersecurity tools that protect digital assets against evolving threats. With a focus on cutting-edge research and product excellence, Maze fosters a collaborative environment where innovation and technical expertise drive our growth and success.
About The Role
We are seeking a highly skilled Machine Learning Engineer to join our team as a technical leader responsible for building and scaling our machine learning infrastructure from experimentation to production. In this role, you will take ownership of evaluation frameworks, develop production ML pipelines, and facilitate cross-team ML integration. Working closely with our CTO and product teams, you will transform advanced AI research into practical, scalable solutions that address real-world security issues. Your impact will be measured by improvements in agent performance and the innovative value delivered to our customers. This position offers a unique opportunity to be an early engineering team member in a fast-growing startup, shaping the future of AI-powered cybersecurity solutions.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Qualifications
- 6+ years of experience building and deploying machine learning systems in production environments
- Strong foundation in classical neural networks and deep learning principles
- Proficiency in Python and familiarity with various ML frameworks and tools
- Experience with large language models (LLMs), transformers, and AI agent architectures
- Track record of translating ML prototypes into scalable, customer-facing products
- Experience working across multiple organizations, startups, or scale-ups
- Ability to operate autonomously with strategic alignment to leadership
- Excellent cross-functional collaboration skills, especially with product teams and customers
- Knowledge of modern MLOps practices and cloud-based ML infrastructure is a plus
- Cybersecurity domain knowledge or experience applying ML to security challenges is advantageous
- Experience with evaluation frameworks, workflow orchestration tools, and AI tooling
Responsibilities
- Design and implement comprehensive evaluation systems to measure AI agent performance and improvements over time
- Own the entire machine learning lifecycle, from experimentation and prototyping to scalable production deployment
- Develop and maintain scalable ML pipelines ensuring reliability, efficiency, and robustness in customer environments
- Collaborate closely with product teams to integrate ML capabilities into customer-facing features, ensuring technical excellence translates into user value
- Continuously optimize AI agent performance through systematic experimentation, prompt engineering, and architectural enhancements
- Build and scale ML infrastructure, monitoring, and tooling to support rapid growth and deployment of new capabilities
- Partner with engineering leadership, including the CTO, to align on strategic technical initiatives and roadmaps
- Mentor junior ML engineers through code reviews, technical guidance, and sharing best practices for building production ML systems
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Benefits
- Opportunity to work on impactful AI solutions that directly enhance cybersecurity defenses
- Collaborative environment with experienced leaders from Big Tech and startup backgrounds
- Autonomy to drive technical decisions and shape the company's ML infrastructure
- Professional growth opportunities, including leadership development and specialization in AI and cybersecurity
- Exposure to cutting-edge AI research and industry standards
- Participation in a fast-paced, innovative startup culture focused on technological breakthroughs
Equal Opportunity
Maze is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, religion, gender, sexual orientation, age, disability, or any other protected status. We believe that diverse perspectives foster innovation and are essential to our success. All qualified applicants are encouraged to apply.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location