AI/ML Engineer at Contrast Security 2mo ago 2mo ago remote (United Kingdom) • 4+ years

Peerlist; Remote; GBP 60,000 - 80,000; Full time

Job summary

A cybersecurity solutions company in the United Kingdom is seeking an AI/ML Engineer to design and deploy advanced AI systems for security challenges. The ideal candidate has 4+ years of experience in software engineering, with a strong expertise in Python and machine learning frameworks. This mid-level position offers opportunities for mentorship and collaboration in a fast-paced environment focused on innovative cybersecurity solutions.

Qualifications

• 4+ years of professional software engineering experience.
• Experience in deploying applications in a cloud environment.
• Understanding of application security concepts.

Responsibilities

• Design, build, and deploy AI/ML systems for security.
• Implement advanced prompt engineering strategies.
• Build and optimize data pipelines and training workflows.

Skills

Python

Machine Learning

Java

Generative AI

MLOps

Education

Bachelor's degree in Computer Science or related field

Tools

TensorFlow

PyTorch

Docker

Kubernetes

Job description

At Contrast Security, we’re redefining how organizations protect their software at the speed of modern development. With industry-leading Application Detection and Response (ADR), we give teams the power to detect, stop and fix real threats in real time. If you're passionate about building smarter, faster, more effective security, you’ll fit right in.

We’re looking for sharp minds, fearless builders, and problem-solvers who thrive on turning complex challenges into innovative solutions.

Are you passionate about using AI and machine learning to revolutionize cybersecurity? Do you want to be part of a team that's building the next generation of intelligent application security solutions using both traditional ML models and modern AI systems? If so, we invite you to join Contrast Security as an AI/ML Engineer.

At Contrast Security, we are at the forefront of application security innovation. Our AI/ML team is developing cutting‑edge solutions like SmartFix (automated vulnerability remediation), intelligent vulnerability analysis, and next‑generation security tools that leverage the power of large language models and advanced machine learning. As an AI/ML Engineer, you'll play a crucial role in building and scaling these intelligent systems that protect software worldwide.

This is a mid-level position perfect for a highly skilled and creative engineer who wants to make a significant impact in the intersection of AI and cybersecurity. We value both traditional ML expertise and modern AI application development skills – ideally both, but strong experience in either domain is valuable.

What You'll Do (Responsibilities)

Core Model & System Development: Design, build, and deploy production‑grade AI/ML systems to solve complex security problems, from traditional vulnerability detection models to LLM‑powered code analysis and remediation agents.

Generative AI Innovation: Design and implement advanced prompt engineering strategies and build complex, multi‑step agentic workflows to power our intelligent features.

MLOps & Infrastructure: Build and optimize the data pipelines, training workflows, and serving infrastructure that form the backbone of our AI platform.

Collaboration & Impact: Partner closely with engineering teams and security researchers to integrate AI/ML models into the Contrast platform and solve real‑world customer problems.

Mentorship & Growth: Contribute to our engineering culture by participating in code reviews, mentoring team members, and staying current with the latest research in AI and cybersecurity.

What You'll Bring (Qualifications)

Required Qualifications:

4+ years of professional software engineering experience building and deploying production systems.

Expertise in Python and common AI/ML frameworks.

Proficiency in Java for building and maintaining production‑grade backend services.

Demonstrable experience in one or both of the following areas:

A) Machine Learning: Hands‑on experience building, training, and deploying ML models in production using frameworks like TensorFlow, PyTorch, or scikit‑learn.

B) Generative AI: Experience developing applications using Large Language Models (LLMs), including prompt engineering, RAG systems, or agentic frameworks.

Experience deploying applications in a cloud environment (e.g., AWS, GCP, Azure).

A bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.

Preferred Qualifications:

A strong understanding of application security concepts and vulnerability types.

Experience with MLOps tools and practices (e.g., Docker, Kubernetes, CI/CD).

Experience using AI coding assistants (e.g., GitHub Copilot, Claude Code) as part of your professional workflow.

We're transforming the way the world secures software. If you're ready to make a real impact, thrive in a fast‑paced environment, and grow alongside a team of passionate professionals, we’d love to hear from you.

Apply today and help us shape the future of application security.