AI & ML Engineer (Cybersecurity)

Accenture; Cheltenham; Hybrid; GBP 70,000 - 110,000; Full time

Job summary

Accenture is seeking an AI & ML Engineer (Cybersecurity) in Cheltenham with a hybrid pattern (2x a month in the office). You will develop and optimise AI agents and LLM-powered workflows to accelerate detection and response within Accenture's SOC offerings.

The role requires hands-on AI/ML experience, familiarity with Azure AI Foundry, AWS Bedrock or Vertex AI, strong knowledge of LLMs, RAG pipelines, and security best practices.

Qualifications

• Experience building and deploying AI agents or LLM-powered apps in production.
• Knowledge of enterprise AI platforms and security risks (OWASP LLM Top 10).
• Strong Python and API integration skills; familiarity with security governance.

Responsibilities

• LLM Configuration: tune prompts, system prompts, retrieval-augmented generation (RAG).
• Agent Development: build AI agents and workflows with SOAR, SIEM, EDR integrations.
• Secure Configuration: implement safeguards against adversarial inputs and jailbreaks.
• System Architecture: design modular, scalable, secure AI solutions.
• Governance: align with AI governance, data handling, audits, and compliance.
• Cost Management: monitor LLM usage and cloud costs with optimisations.
• Collaboration: work with security engineers and SOC analysts; gather feedback.
• Documentation: produce technical docs for ongoing management.

Skills

2+ years AI/ML engineering

AI agents & LLMs

Azure AI Foundry / AWS Bedrock /Vertex

LLM concepts & RAG

Security tooling integration (SOAR/SI‍

Tools

Azure AI Foundry

AWS Bedrock

Google Vertex AI

REST APIs

Infrastructure as Code

Job description

Role title: AI & ML Engineer (Cybersecurity)

Location: Cheltenham (2x a month in the office- hybrid working)

Salary: Competitive salary and package (Depending on level of experience)

Please Note: Any offer of employment is subject to satisfactory BPSS and SC security clearance which requires 5 years continuous UK address history (typically including no periods of 30 consecutive days or more spent outside of the UK) at the point of application.

Responsible for developing and optimising AI agents and LLM-powered applications that drive the maturation of Accenture's Security Operation Centre (SOC) offerings. Working closely with security engineers and SOC analysts, the AI/ML Engineer will design, build, and operationalise AI-powered workflows that integrate with our security tooling, to accelerate detection and response. We are at a critical inflection point within defensive cyber operations; the use of AI to counter the rapidly evolving threat landscape is the mission, and we are looking for innovative and passionate people to support this effort. You will bring strong engineering rigour and a security-first mindset to everything you build.

Responsibilities:

• LLM Configuration : Configure, evaluate, and tune large language models for security use cases; including prompt engineering, system prompt design, retrieval-augmented generation (RAG), and tool/function calling.
• Agent Development: Design, build, and maintain AI agents and agentic workflows using platforms such as Azure AI Foundry, integrating with security toolsets such as SOAR, SIEM, and EDR.
• Secure Configuration: Implement safeguards to protect against adversarial inputs, including prompt injection and jailbreaks, ensuring AI systems meet robust security standards.
• System Architecture: Architect AI solutions that are modular, maintainable, and built to scale, adhering to secure development principles.
• Governance: Implement solutions in line with our AI governance framework, encompassing factors such as data handling, audit logging, human-in-the-loop controls, and regulatory compliance.
• Cost Management: Monitor and optimise LLM API usage and infrastructure costs, implementing strategies such as caching, model tiering, and guardrails to ensure solutions are economically viable.
• Collaboration: Work closely with key stakeholders to understand operational pain points, prototype solutions, and iterate based on feedback.
• Documentation: Produce clear technical documentation to support effective ongoing management of developed capabilities.

We are looking for the following skills and experience:

• 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.

#LI-EU #LI-MP

About Accenture

Accenture is a leading global professional services company that helps the world's leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services-creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world's leaders in helping driv