Join our growing Data & AI Practice
Role details
Job location
Tech stack
Job description
As AI adoption accelerates, so do the risks from data exposure and model misuse to emerging AI-driven threats. Our AI & Cyber practice sits at the intersection of artificial intelligence, data platforms, and cyber security, ensuring that AI capabilities are delivered securely, responsibly, and at scale.
We support complex, high-impact programmes across UK government, healthcare, defence, and critical infrastructure, where security, assurance, and reliability are critical from day one.
AI Security & Threat Modelling Designing secure AI architectures, identifying risks such as prompt injection, data leakage, and model abuse, and embedding security controls from the outset.
- ️ Secure AI Platforms & DevSecOps
Building and securing AI platforms using Kubernetes, API gateways, secrets management, and cloud-native security controls.
Data & AI Engineering (Secure by Design) Delivering robust data pipelines and AI systems with security, privacy, and integrity embedded throughout the lifecycle.
️ Architecture & Integration Integrating AI into enterprise environments, aligning with existing security frameworks, identity models, and network controls.
Governance, Risk & Responsible AI Implementing AI governance frameworks, model risk management, and regulatory alignment, ensuring safe and ethical deployment.
Requirements
Do you have experience in Machine learning?, Do you have a Master's degree?, We're interested in individuals who combine deep technical expertise with an understanding of how AI systems operate in secure, regulated environments.
You may bring:
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Experience delivering or securing AI/ML systems in production
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Knowledge of cloud security, APIs, identity, and network controls
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Exposure to secure AI practices (model security, data protection, risk)
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Experience working in public sector or high-assurance environments (SC/DV desirable)
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Work on mission-critical programmes where security and AI intersect
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Be part of a growing Data & AI capability within an established consultancy
Benefits & conditions
Pulled from the full job description
- Annual leave
- Employee assistance programme
- Company pension
- Private medical insurance
- Cycle to work scheme
- Season ticket loan, Methods is passionate about its people; we want our colleagues to develop the things they are good at and enjoy.
By joining us you can expect
- Autonomy to develop and grow your skills and experience
- Be part of exciting project work that is making a difference in society
- Strong, inspiring and thought-provoking leadership
- A supportive and collaborative environment
Development - access to LinkedIn Learning, a management development programme, and training
Wellness - 24/7 confidential employee assistance programme
Flexible Working - including home working and part time
Social - office parties, breakfast Tuesdays, monthly pizza Thursdays, Thirsty Thursdays, and commitment to charitable causes
Time Off - 25 days of annual leave a year, plus bank holidays, with the option to buy 5 extra days each year
Volunteering - 2 paid days per year to volunteer in our local communities or within a charity organisation