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

Apply Now

Senior Threat Detection Engineer (Cyber Security)

Centrica
Leeds
7 months ago
Applications closed

Related Jobs

View all jobs

Senior Computer Vision Engineer

Senior Engineer, Machine Learning United Kingdom, London

Senior Data Scientist – Anti-Fraud & Quality Intelligence

Computer Vision Engineer

Senior Data Scientist (UK)

Computer Vision Engineer

Join us, be part of more. 

We’re so much more than an energy company. We’re a family of brands revolutionising how we power the planet. We're energisers. One team of 21,000 colleagues that's energising a greener, fairer future by creating an energy system that doesn’t rely on fossil fuels, whilst living our powerful commitment to igniting positive change in our communities. Here, you can find more purpose, more passion, and more potential. That’s why working here is #MoreThanACareer. We do energy differently - we do it all. We make it, store it, move it, sell it, and mend it.

About your team: 

You’ll be working centrally within our mission control room, aka Centrica’s group functions. From Finance and Data Science, to our Wellbeing and People teams - this is the engine of our energy system, where our various Centres of Excellence power up each of our brilliant businesses, ensuring they have all the support, technologies, and capabilities they need to get our customers to Net Zero by 2050.

Join Centrica's IT Security Team as a Senior Threat Detection Engineer!

Are you ready to play your part in driving the UK's energy transformation? Centrica is looking for a passionate and skilledSeniorThreat Detection Engineer (Cyber Security)to join our dynamic IT Security team. If you're excited about developing, automating, and improving detection capabilities to effectively identify and respond to security threats, this is the perfect opportunity for you!

Location:Remote working with occasional travel to our Windsor office.

Key Responsibilities:

Implement and manage the Detection Engineering framework across our infrastructure.

Develop and maintain consistent, scalable, and effective detection capabilities.

Continuously assess and improve detection logic and use cases.

Automate detection engineering workflows using GitOps and CI/CD principles.

Build and optimize security playbooks for detection, threat hunting, and incident response.

Enhance threat detection and response capabilities, including Azure Logic Apps.

Collaborate with security analysts and stakeholders to address incident response gaps.

Stay updated on current threat intelligence, trends, TTPs, and vulnerabilities.

Skills Required:

Experience with detection rules (KQL) and frameworks like MITRE ATT&CK.

Proficiency in PowerShell, Python, or Go for security use cases.

Hands-on experience with infrastructure as code tools (Terraform, Ansible, Puppet).

Strong understanding of Azure and AWS cloud platforms.

Familiarity with GitOps concepts and CI/CD workflows.

Experience with security automation platforms (SOAR) and orchestration playbooks.

Background in Security Operations and Cyber Security Incident Response.

Education:

Bachelor’s degree preferred (but not essential) in IT, Computer Science, Information Systems, or related field. Relevant experience will be considered in lieu of qualifications.

Why Join Us?

Be part of a team that supports sustainable energy solutions and delivers impactful projects. Your contributions will make a real difference!

Benefits:

Competitive salary and bonus potential.

Car allowance

Employee Energy Allowance at 15% of the government price cap.

Pension scheme.

Company-funded healthcare plan.

25 days holiday allowance, plus public holidays, with the option to buy up to 5 additional days.

A range of flexible benefits, including technology vouchers, an electric car lease scheme, and travel insurance.

Ready to make an impact? Apply now and join us in shaping the future of energy!

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.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.