TL;DR

Specialist Machine Learning Researcher (AI): Driving innovation across diverse projects, ranging from rapid prototyping of new ideas to large-scale research initiatives with an accent on leveraging advanced techniques such as large language models (LLMs), statistical methods, and classical machine learning. Focus on designing robust evaluation frameworks to measure model performance and reliability across diverse use cases.

Location: This is a hybrid role, requiring compulsory attendance of 2 days per week at our Cambridge office.

Company

%hirify_global% is a global leader in AI for cybersecurity that keeps organizations ahead of the changing threat landscape every day.

What you will do

Designing and implementing cutting-edge solutions to complex problems across multiple domains.
Leveraging advanced techniques such as large language models (LLMs), statistical methods, and classical machine learning where appropriate.
Integrating machine learning models into the broader software stack, ensuring seamless deployment.
Delivering optimized solutions that balance latency, memory efficiency, and performance.
Designing robust evaluation frameworks to measure model performance and reliability across diverse use cases.
Collaborating with engineering teams to ensure scalability, security, and maintainability of deployed solutions.

Requirements

Candidates should ideally hold a PhD or Master’s degree in machine learning or a related discipline, or possess equivalent practical experience.
Demonstrate 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.

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.

Specialist Machine Learning Researcher (AI/ML)