Senior ML/AI Engineer (AI Lab)
About us
Red Sift's Digital Resilience Platform solves for the greatest vulnerabilities across the complete attack surface. By providing comprehensive coverage of an organization’s digital footprint through best-in-class discovery and monitoring, Red Sift enables users to proactively uncover threats within email, domains, brand, and the network perimeter. Paired with sophisticated remediation capabilities, Red Sift provides organizations with the tools to shut down phishing and ensure ongoing compliance with email and web security protocols.
We are a global organization with offices in North America, Ireland, Spain, and the UK. It boasts an impressive client base across all industries, including Domino’s, ZoomInfo, Athletic Greens, Pipedrive, and top global law firms. Red Sift is also a trusted partner of Entrust, Microsoft, and Validity, among others.
We are leading the way in AI
Red Sift has been the first to deliver useful AI capabilities in this space and we want to continue leading the way in that front, preparing our products for the future and exposing our capabilities not only to humans but also to AI.
About the team
The mission of the AI Lab is to research, design, and build cutting-edge machine learning and artificial intelligence solutions that are integrated across Red Sift's products. Working closely with different product teams, we identify opportunities and gaps that can be improved by leveraging AI to automate complex tasks and reduce the user's manual effort.
About the role
We are seeking a Senior AI & ML Engineer with a strong foundation in machine learning fundamentals and hands-on experience with modern generative AI and large language models (LLMs). You’ll work on cutting-edge AI functionality across our flagship cybersecurity platform — building scalable, performant systems that harness the power of data, ML models, and ML infrastructure.
In this role you will:
- Design, develop, and deploy production-grade ML/AI features — from data prep and model training to inference APIs and monitoring.
- Integrate and scale LLMs & generative AI within product workflows, including fine-tuning, prompt engineering, RAG (retrieval-augmented generation), agentic systems.
- Collaborate with product, backend, and frontend teams to deliver impactful AI-driven experiences.
About you
Our Stack
- Exploration & prototyping: Jupyter notebooks for data exploration, experimentation, and model iteration
- Languages: Python for ML/AI development; JavaScript/TypeScript for production integration
- ML / DL frameworks: PyTorch and scikit-learn
- LLMs & GenAI: State-of-the-art foundation models, embeddings, and retrieval-augmented generation (RAG)
- Production: Cloud-native deployment with attention to scalability, latency, and cost
Location
Barcelona or London would be ideal but we would be happy to accommodate fully-remote working arrangements in locations with similar time zones.
Benefits
The opportunity to participate in every aspect of the startup journey in rapid scaling mode
The chance to participate in our mission to protect organisations and the people within them with cybersecurity software products that outsmart attackers at scale
A competitive base salary based on experience in addition to a performance-based bonus, equity plan and pension scheme
Career Progression plan
Full remote work, with the option to visit our office in London or Barcelona
25 days of vacation in addition to public holidays per year
Day off on your birthday
️ A monthly budget for coaching and self-improvement such as courses, conferences and workshops
Health Insurance for you and your family members
Maternity / Paternity leave
️ Gym membership (via https://wellhub.com)
Cycle to work scheme
One volunteer day per year
