AI Engineer - Systems Integrator

Hamilton Barnes Associates Limited; Greater London; Hybrid; GBP 80,000 - 140,000; Full time

Benefits offered by this job

Hybrid work pattern

Collaborative research environment

Career growth opportunities

Influence product direction

Job summary

Hamilton Barnes Associates Limited in London is seeking an ML Research Engineer to join its Innovation & Research team and help develop AI-powered security operations capabilities. The role focuses on building and evaluating AI and agentic systems, improving machine learning workflows, and researching security challenges such as adversarial attacks.

You will collaborate with researchers, engineers and security specialists, contribute to publications and blogs, and influence product direction in

Qualifications

• Strong quantitative background with analytical and problem-solving skills.
• Python programming experience.
• Understanding of statistics and experimental design.
• Experience working with data science or machine learning workflows.
• Interest in LLMs, generative AI and agentic systems.
• Ability to analyse data and translate findings into actionable improvements.
• Strong written and verbal communication skills.
• A naturally curious mindset with a passion for research and experimentation.

Responsibilities

• Designing and building evaluation frameworks for AI and agentic systems.
• Measuring agent performance using statistically robust methodologies.
• Analysing failures and identifying opportunities for optimisation.
• Experimenting with prompts, workflows and playbooks to improve outcomes.
• Testing different models, including open-source and fine-tuned LLMs.
• Evaluating and improving multi-agent workflows.
• Researching defences against prompt injection and adversarial attacks.
• Collaborating with security analysts to understand real-world use cases.
• Supporting the evolution of the platform towards more advanced agentic architectures.
• Communicating research findings to both technical and non-technical audiences.
• Contributing to technical blogs, industry presentations and research publications.

Skills

Python

Statistics

Experimental design

Data science workflows

LLMs & agentic systems

Communication skills

Education

Master's degree or PhD in a relevant field

Tools

GCP

Open-source AI models

Job description

Join a leading cybersecurity provider delivering independent security services that help organisations manage cyber risks and protect against evolving threats. The organisation combines cybersecurity expertise, proprietary solutions, and technology partnerships to deliver tailored security services across various sectors.

The organisation is seeking an ML Research Engineer to join its Innovation & Research team and help develop AI-powered security operations capabilities. This role focuses on building and evaluating AI and agentic systems, improving machine learning models and workflows, analysing performance, and researching security challenges such as adversarial attacks and offers the opportunity to work on cutting-edge AI technologies, influence product development, and collaborate with researchers, engineers, and security specialists.

Responsibilities

• Designing and building evaluation frameworks for AI and agentic systems
• Measuring agent performance using statistically robust methodologies
• Analysing failures and identifying opportunities for optimisation
• Experimenting with prompts, workflows and playbooks to improve outcomes
• Testing different models, including open-source and fine-tuned LLMs
• Evaluating and improving multi-agent workflows
• Researching defences against prompt injection and adversarial attacks
• Collaborating with security analysts to understand real-world use cases
• Supporting the evolution of the platform towards more advanced agentic architectures
• Communicating research findings to both technical and non-technical audiences
• Contributing to technical blogs, industry presentations and research publications

Skills/Must Have

• Strong quantitative background with excellent analytical and problem-solving skills
• Python programming experience
• Understanding of statistics and experimental design
• Experience working with data science or machine learning workflows
• Interest in LLMs, generative AI and agentic systems
• Ability to analyse data and translate findings into actionable improvements
• Strong written and verbal communication skills
• A naturally curious mindset with a passion for research and experimentation

Desirable Skills

• Master's degree or PhD in a relevant field
• Machine learning research experience
• Experience evaluating AI systems or LLM performance
• Familiarity with cloud environments such as GCP
• Knowledge of modern software development practices
• Experience working with open-source AI models
• Interest in cyber security, threat detection or security operations

Location & Working Pattern

• London
• Hybrid (fortnightly office travel plus occasional customer and team events)

Benefits

• Opportunity to work on genuinely cutting-edge AI and agentic technologies
• Influence the direction of a product at an early stage
• Work alongside researchers, engineers and cyber security specialists
• Research that directly impacts real-world outcomes
• Exposure to some of the most exciting developments in AI today
• Strong career growth potential within a rapidly expanding business
• Collaborative environment where experimentation and innovation are encouraged

Salary

• Competitive salary based on experience and qualifications