Cyber Security Engineer

Deltra Group
London
4 months ago
Applications closed

Related Jobs

View all jobs

Chief Information Security Officer – Managing Director

GenAI Engineer - Operational Resilience / Cyber

Senior Product Manager (Cyber Security)

Senior DevOps Software Developer in Test Cloud / AWS

Senior Recruiter

Junior AWS DevOps Engineer

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

Overview
This position offers the opportunity to leverage innovative technologies such as AI, machine learning, and automation to strengthen organisational resilience against cyber threats. You will also play a key role in developing strategies to ensure seamless business operations, even in the face of potential cyber disruptions.

Responsibilities

Architect, implement, and oversee security measures for both operational and information technology systems. Manage and coordinate responses to security incidents, including analysis and follow-up to prevent recurrence. Work closely with various teams to integrate advanced security measures into infrastructure and processes. Enhance the organisation’s defensive posture through automation and cloud-based solutions. Stay informed about the latest cyber risks and ensure that security protocols and tools remain effective and up to date.

 Skills/ExperienceHands-on experience with tools such as firewalls, SIEM platforms, intrusion detection/prevention systems, and endpoint protection solutions. Expertise in securing cloud environments (., AWS, Azure) and familiarity with automation and DevOps methodologies. Strong communication skills to convey security concepts to diverse audiences. Demonstrated ability to solve complex technical problems with a strategic approach. Knowledge of vulnerability assessment, threat management, and compliance standards.Share this job:

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Contract vs Permanent Machine Learning Jobs: Which Pays Better in 2025?

Machine learning (ML) has swiftly become one of the most transformative forces in the UK technology landscape. From conversational AI and autonomous vehicles to fraud detection and personalised recommendations, ML algorithms are reshaping how organisations operate and how consumers experience products and services. In response, job opportunities in machine learning—including roles in data science, MLOps, natural language processing (NLP), computer vision, and more—have risen dramatically. Yet, as the demand for ML expertise booms, professionals face a pivotal choice about how they want to work. Some choose day‑rate contracting, leveraging short-term projects for potentially higher immediate pay. Others embrace fixed-term contract (FTC) roles for mid-range stability, or permanent positions for comprehensive benefits and a well-defined career path. In this article, we will explore these different employment models, highlighting the pros and cons of each, offering sample take‑home pay scenarios, and providing insights into which path might pay better in 2025. Whether you’re a new graduate with a machine learning degree or an experienced practitioner pivoting into an ML-heavy role, understanding these options is key to making informed career decisions.

Machine‑Learning Jobs for Non‑Technical Professionals: Where Do You Fit In?

The Model Needs More Than Math When ChatGPT went viral and London start‑ups raised seed rounds around “foundation models,” many professionals asked, “Do I need to learn PyTorch to work in machine learning?” The answer is no. According to the Turing Institute’s UK ML Industry Survey 2024, 39 % of advertised ML roles focus on strategy, compliance, product or operations rather than writing code. As models move from proof‑of‑concept to production, demand surges for specialists who translate algorithms into business value, manage risk and drive adoption. This guide reveals the fastest‑growing non‑coding ML roles, the transferable skills you may already have, real transition stories and a 90‑day action plan—no gradient descent necessary.

Quantexa Machine‑Learning Jobs in 2025: Your Complete UK Guide to Joining the Decision‑Intelligence Revolution

Money‑laundering rings, sanctioned entities, synthetic identities—complex risks hide in plain sight inside data. Quantexa, a London‑born scale‑up now valued at US $2.2 bn (Series F, August 2024), solves that problem with contextual decision‑intelligence (DI): graph analytics, entity resolution and machine learning stitched into a single platform. Banks, insurers, telecoms and governments from HSBC to HMRC use Quantexa to spot fraud, combat financial crime and optimise customer engagement. With the launch of Quantexa AI Studio in February 2025—bringing generative AI co‑pilots and large‑scale Graph Neural Networks (GNNs) to the platform—the company is hiring at record pace. The Quantexa careers portal lists 450+ open roles worldwide, over 220 in the UK across data science, software engineering, ML Ops and client delivery. Whether you are a graduate data scientist fluent in Python, a Scala veteran who loves Spark or a solutions architect who can turn messy data into knowledge graphs, this guide explains how to land a Quantexa machine‑learning job in 2025.