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

Apply Now

AI Security Engineer

Iceberg Cyber Security
Manchester
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Security Data Engineer — AI-Driven Cyber Defense

Principal Data Scientist, AI Security Research

Lead Data Scientist

Senior Data Scientist - Healthcare

Data Scientist Manager

Data Scientist Manager

Are you a cybersecurity expert with a passion for AI? We're searching for an AI Security Engineer to join our client in Manchester and play a pivotal role in advancing the security of cutting-edge AI systems. This role offers a unique opportunity to work on the frontline of AI innovation, developing secure models and protecting critical systems against evolving cyber threats.


In this position, you'll leverage your expertise in AI and cybersecurity to design and implement advanced threat detection and prevention strategies. Collaborating closely with leading experts in data privacy, machine learning, and network security, you'll ensure that AI systems remain resilient, secure, and compliant with the latest industry standards.


We’re looking for candidates with a strong background in AI/ML and cybersecurity, hands-on experience in threat detection, intrusion prevention, and secure model deployment, and proficiency in tools like Python, TensorFlow, and PyTorch. If you’re ready to take your skills to the next level and work on transformative AI security challenges, apply today or reach out directly to learn more!

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.

Jobs

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Jobs

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.

Jobs

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.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.