AI Security Engineer

Tenth Revolution Group
Manchester, United Kingdom
3 weeks ago
£60,000 – £110,000 pa

Salary

£60,000 – £110,000 pa

Job Type
Permanent
Work Pattern
Flexible
Work Location
Hybrid
Seniority
Senior
Education
Degree
Posted
7 May 2026 (3 weeks ago)

Benefits

Flexible working arrangements Strong culture of collaboration Competitive compensation Long-term career development

AI Security Engineer

Location: UK (Hybrid / Flexible Working)
Level: Senior
Sector: Financial Services

We are working with a large, highly regulated financial organisation that is investing heavily in AI, cloud and next-generation security. They are looking to appoint an AI Security Engineer to help design, deliver and evolve security solutions that protect complex systems and sensitive data at scale.

This role sits within a central security function responsible for safeguarding innovation, including GenAI and advanced data platforms and plays a critical part in shaping secure-by-design engineering across the business.

The Role

As an AI Security Engineer, you'll provide technical leadership and hands-on engineering across security architecture, cryptography, IAM and cloud-native platforms. You'll work closely with engineers, data scientists and security stakeholders to embed strong controls while enabling innovation.

Key responsibilities include:

  • Acting as a subject matter expert on security engineering patterns and best practice
  • Designing and implementing solutions to protect systems, APIs and sensitive data
  • Performing security audits, vulnerability assessments and supporting incident response
  • Driving the adoption of modern cryptographic technologies and techniques
  • Developing, implementing and maintaining Identity & Access Management (IAM) solutions
  • Ensuring security controls align with regulatory requirements and business objectives
  • Influencing stakeholders and contributing to security policy, governance and risk mitigation

Skills & Experience Required

  • Strong programming and scripting skills (Python and Bash essential)
  • Solid experience with cloud platforms - AWS and/or Azure
  • Strong understanding of API development and security
  • Experience designing or implementing security controls in complex environments
  • Knowledge of, or strong interest in, data science and AI-driven systems
  • Comfortable operating in regulated, enterprise-scale environments
  • Able to communicate complex and sensitive technical topics to senior stakeholders

Why Apply?

  • Work on cutting-edge AI and GenAI security challenges
  • Influence security strategy within a large-scale, enterprise environment
  • High-impact role with strong visibility across engineering and leadership teams
  • Flexible working arrangements and a strong culture of collaboration
  • Competitive compensation and long-term career development

Related Jobs

View all jobs

AI Security Engineer

Tenth Revolution Group London, United Kingdom
£75,000 – £110,000 pa Hybrid

Senior Cyber Security Engineer (AI Safety)

Faculty AI London, United Kingdom
Hybrid

AI-Augmented Cyber Security Engineer

Eligo Recruitment Se12Up, SE1 2UP, United Kingdom
£75,000 – £90,000 pa On-site

AI Cyber Tech Lead

Randstad Technologies Sheffield, United Kingdom
£60,000 – £65,000 pa

Senior Software Engineer, Chem-Bio

AI Security Institute London, United Kingdom
On-site Clearance Required

Research Engineer/Research Scientist – Model Transparency

AI Security Institute London, United Kingdom
On-site Clearance Required

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Where to advertise data science jobs UK in 2026: the specialist boards, communities and channels that actually reach senior and lead data science talent. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Data Science Jobs UK 2026: What to Expect Over the Next 3 Years

Data Science Jobs UK 2026: roles, salaries and the trends shaping UK data science hiring over the next three years — from MLE crossover to GenAI workflows. Data science has spent the past decade being described as the sexiest job of the twenty-first century. By 2026, the reality is both more nuanced and more interesting than that label ever suggested. The discipline has matured, fragmented, deepened, and in some respects reinvented itself — and the jobs market has changed with it in ways that create genuine opportunity for those who understand what employers actually want, and genuine difficulty for those still operating on assumptions formed five years ago. The data science jobs market of 2026 is not simply a larger version of what it was three years ago. The generalist data scientist — equally comfortable wrangling data, building models, and presenting insights to the board — is giving way to a more specialised landscape where employers know exactly what problem they are trying to solve and are looking for candidates with the specific depth to solve it. Machine learning engineering, causal inference, experimentation, AI product development, and domain-specific applied science have all emerged as distinct career tracks within what was previously a single, loosely defined profession. At the same time, the arrival of large language models and the broader AI capability wave has both threatened and created data science roles in equal measure. Some of the work that junior data scientists spent their early careers doing — data cleaning, exploratory analysis, basic model building — is being partially automated by AI tooling. But the demand for practitioners who can evaluate AI systems rigorously, apply statistical thinking to complex business problems, and build the data foundations on which AI depends has grown considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what data scientists are expected to build and know, and how to position a data science career that will remain valuable as the field continues to evolve around them. This article breaks down what the UK data science jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.