National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Cyber Security Engineer, Crowdstrike, SIEM - Hybrid, London 75k

Walbrook
1 week ago
Create job alert

Cyber Security Engineer required by a London financial brokerage (near Bank station), paying up to £75k + bonus + benefits. Hybrid role (3 days office-based). Join a focused 3-person IT Security team, reporting to the IT Security Officer, to implement and maintain robust security across their infrastructure. Key responsibilities include managing WAF/DDoS, security gateways, SIEM/SOAR/EDR, firewalls, MFA/SSO, MDM/MAM, vulnerability scans, and incident response.

Key Responsibilities: Manage WAF/DDoS, web/email security gateways, SIEM/SOAR/EDR (alert response), firewalls, MFA/SSO, MDM/MAM, vulnerability scans/remediation, security certificates, IDS/IPS, PAM, and deliver security awareness training. Remediate penetration test findings and contribute to ad-hoc projects.

Experience: Strong knowledge of CrowdStrike EDR, Mimecast, Duo, Okta, Rapid7 IVM/IDR, Palo Alto Firewalls, InTune, and Entra ID/Azure AD/Group Policy.

Experience: Familiarity with Imperva WAF/DDoS, Menlo, Cisco security, KnowBe4, Digicert, patching tools, web application scanners, and Kali Linux, AI, Machine Learning

Candidate Profile: Relevant security certifications (CISM, MS Security, OSCP preferred). Financial services/SOC/pentesting background desirable. Strong communication and problem-solving skills.

Location & Hours: London, hybrid (3 days office), shift pattern (07:30-17:30), some out-of-hours work.

Salary & Benefits: Up to £75k, bonus, 25 days holiday, pension, income protection, life assurance, season ticket loan, subsidised gym.

Be a key technical leader safeguarding sensitive data and systems in a collaborative environment. Apply now to make a significant impact

Related Jobs

View all jobs

Senior Data Engineer

Lead Data Engineer

Lead Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

National AI Awards 2025

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 Jobs Skills Radar 2026: Emerging Tools, Frameworks & Platforms to Learn Now

Machine learning is no longer confined to academic research—it's embedded in how UK companies detect fraud, recommend content, automate processes & forecast risk. But with model complexity rising and LLMs transforming workflows, employers are demanding new skills from machine learning professionals. Welcome to the Machine Learning Jobs Skills Radar 2026—your annual guide to the top languages, frameworks, platforms & tools shaping machine learning roles in the UK. Whether you're an aspiring ML engineer or a mid-career data scientist, this radar shows what to learn now to stay job-ready in 2026.

How to Find Hidden Machine Learning Jobs in the UK Using Professional Bodies like BCS, Turing Society & More

Machine learning (ML) continues to transform sectors across the UK—from fintech and retail to healthtech and autonomous systems. But while the demand for ML engineers, researchers, and applied scientists is growing, many of the best opportunities are never posted on traditional job boards. So, where do you find them? The answer lies in professional bodies, academic-industry networks, and tight-knit ML communities. In this guide, we’ll show you how to uncover hidden machine learning jobs in the UK by engaging with groups like the BCS (The Chartered Institute for IT), Turing Society, Alan Turing Institute, and others. We’ll explore how to use member directories, CPD events, SIGs (Special Interest Groups), and community projects to build connections, gain early access to job leads, and raise your professional profile in the ML ecosystem.

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.