Specialist Machine Learning Researcher (AI/ML)

TL;DR

Specialist Machine Learning Researcher (AI/ML): Designing and implementing cutting-edge solutions to complex problems, leveraging advanced techniques like large language models and statistical methods. Focus on integrating machine learning models into the software stack and delivering optimized solutions for varied environments, including edge devices.

Location: Hybrid role, requiring compulsory attendance of 2 days per week at our Cambridge office, United Kingdom.

Company

hirify.global is a global leader in AI for cybersecurity, providing an essential cybersecurity platform to protect organizations from unknown threats.

What you will do

• Design and implement cutting-edge solutions to complex problems using advanced ML techniques (LLMs, statistical methods).
• Work both independently as a researcher and collaboratively within cross-functional teams.
• Integrate machine learning models into the broader software stack for seamless deployment.
• Deliver optimized solutions for varied environments, including edge devices, balancing latency, memory, and performance.
• Design robust evaluation frameworks to measure model performance and reliability.
• Stay up to date with emerging trends in AI/ML and proactively recommend improvements to existing systems.

Requirements

• PhD or Master’s degree in machine learning or a related discipline, or possess equivalent practical experience.
• Strong proficiency with Python machine learning libraries such as PyTorch, TensorFlow, and scikit-learn.
• Deep understanding of large language models and their applications—including transfer learning, embeddings, generative usage, and agentic functionality.
• Collaborative team player while also capable of working autonomously and making independent decisions.
• English: B2 required.

Nice to have

• Familiarity with agentic system tooling (e.g., LangGraph, LangChain, smolagents) and supporting infrastructure (MCP servers, vector databases, memory, ontologies).
• Experience with cloud AI services (AWS Bedrock, Azure AI Foundry, Vertex AI, Copilot Studio) and diverse ML techniques.
• Working knowledge of Linux, Git, and basic cybersecurity concepts, including AI-specific threats.

Culture & Benefits

• 23 days’ holiday + all public holidays, rising to 25 days after 2 years of service.
• Additional day off for your birthday.
• Private medical insurance which covers you, your cohabiting partner and children.
• Life insurance of 4 times your base salary.
• Salary sacrifice pension scheme.
• Enhanced family leave.
• Confidential Employee Assistance Program.
• Cycle to work scheme.