9d ago

AI & ML Engineer (Cybersecurity)

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Machine Learning EngineerData

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Quick Summary

Key Responsibilities

LLM Configuration: Configure, evaluate, and tune large language models for security use cases; including prompt engineering, system prompt design, retrieval-augmented generation (RAG),

Technical Tools

Machine Learning EngineerData

Responsibilities

~2 min read

→2+ years of experience within AI/ML engineering.
→Hands-on experience building and deploying AI agents or LLM-powered applications in production environments, and the implementation of appropriate observability and evaluation mechanisms.
→Practical experience with enterprise AI platforms, such as Azure AI Foundry, AWS Bedrock or Google Vertex AI.
→Strong understanding of LLM concepts and vector databases: context windows, temperature and sampling parameters, system prompts, tool/function calling.
→Experience of implementing RAG pipelines end-to-end, including data ingestion, chunking strategies, embedding model selection, and retrieval tuning.
→Experience of implementing parsing pipelines for tasks such as document processing / ingestion, including handling unstructured data.
→Demonstrable knowledge of AI security risks (familiarity with OWASP LLM Top 10), and how these can be mitigated.
→Experience working within enterprise governance frameworks.
→Proficiency in one or more languages (such as Python), and familiarity with common AI/ML libraries. Ability to build custom tools that can interact with, or be exposed to LLMs.
→Strong understanding of REST APIs, and the ability to integrate AI solutions with third-party platforms and internal tooling.
→Experience of deploying infrastructure-as-code is advantageous.
→Knowledge of typical enterprise security tooling (such as SOAR, SIEM and EDR) is advantageous.
→Collaborative and engaging approach to problem solving, and a willingness to work as part of the team.
→Passionate for diversity, recognising the innovation and competitive edge that comes from a diverse highly skilled team where equal opportunities are truly valued.
→A problem-solver, always seeking the best solution for the right outcome.
→Self-motivated, results-focussed, pragmatic with the ability to manage conflicting deadlines and prioritise.

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