Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Cyber Security Specialist

Cathedrals
10 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Senior Data Engineer

Data Engineer

ML (Machine Learning) Engineer

Job Title: Cyber Security Engineer
Job Type: Permanent 
Location: London (Hybrid X2 days)

Overview
We are looking for a Cyber Security Engineer to join the team and help protect the company’s critical infrastructure, intellectual property, and customer data from evolving cyber threats. You will play a vital role in designing, deploying, and operating advanced cyber security capabilities, ensuring the resilience of our operational technology (OT), IT, and digital infrastructure.

In this role, you will use cutting-edge technologies, including artificial intelligence, machine learning, and DevOps automation, to defend against cyber threats. You will also contribute to building business continuity plans and disaster recovery strategies, ensuring the uninterrupted operation of the company in the face of cyber challenges.

Key Responsibilities

Design, deploy, and maintain cyber security solutions for both OT and IT systems
Lead cyber incident response, post-incident reviews, and root cause analyses
Collaborate with internal teams to develop robust security capabilities integrated with new and existing infrastructure
Use automation and cloud technologies to enhance the company’s cyber defenses
Monitor emerging threats and ensure that security tools and processes are adapted to the evolving threat landscapeDesirable skills

Experience with cyber security tools and technologies, including Firewalls, SIEM, IDS/IPS, and EDR solutions
Proficiency in cloud security solutions (e.g., AWS, Azure) and knowledge of DevOps and automation tools
Strong communication skills, with the ability to explain technical security concepts to both technical and non-technical stakeholders
Proven problem-solving abilities in complex environments
Familiarity with vulnerability management, threat detection, and security compliance frameworks

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

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

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.