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

Apply Now

Cyber Security Researcher - AI / ML

Conexus DX Limited
Newport
9 months ago
Applications closed

Related Jobs

View all jobs

Senior Research Scientist: Data Science and Machine Learning AIP

Senior Data Scientist & Machine Learning Researcher

Lead Data Scientist - Healthcare

Principal Data Scientist - Healthcare

Lead Data Scientist - Healthcare

Principal Data Scientist - Healthcare

Join a cutting-edge team focused on digital security research and innovation, driving the development of solutions to complex problems in the digital security domain. As a Cyber Security Innovation Specialist, you will lead projects, provide consultancy, and collaborate across internal and external networks to ensure the business remains at the forefront of technological advancements.

12-month rolling contract up to 3 years | Strong Hourly Rate | Overtime Available | Hybrid Working | Flexible Working Hours | Fast Interview / Hiring Process

Key Responsibilities

  • Coordination: Facilitate cyber security innovation activities across the organisation, build working networks, and represent the Digital Security Office at conferences and events.
  • Collaboration: Work with peers and partners to integrate cyber security into projects and maintain external innovation agreements.
  • Consultancy: Offer expert advice and training in your specialist area of cyber security innovation.
  • Innovation: Conduct research, develop prototype solutions, and maintain a cyber innovation roadmap addressing future threats and opportunities.

Requirements

Academic

  • Must Have: Bachelor's degree in Artificial Intelligence/Machine Learning and recent PhD or Master's in Cyber Security of AI/ML.
  • Advantage: Professional training or certifications in cyber security.

Experience

  • Must Have: Expertise in AI/ML algorithms and applications, with experience in research or solution development.
  • Advantage: Publications in cybersecurity, patent experience, and knowledge of AI/ML vulnerabilities.

Technical Expertise

  • Must Have: Specialist knowledge in AI/ML techniques.
  • Advantage: Experience in cybersecurity-focused AI/ML tools, vulnerabilities, and programming languages such as Python or Rust.

Outputs

  • Prototype solutions, technical reports, and market studies.
  • Contributions to academic funding, patents, and publications.

This role offers an exciting opportunity for a motivated individual to lead innovation in digital security and shape the future of cyber technology. Apply now to be at the forefront of this dynamic field!

SmFtaWUuSGluZS44MjU0Ny4xMjI3MUB5b2xrLmFwbGl0cmFrLmNvbQ.gif

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.