Systems Engineer

Yolk Recruitment
Gillingham
4 days ago
Applications closed

Related Jobs

View all jobs

Systems Engineer for Software Defined Radio

Systems Engineer (Remote)

Systems Engineer - Radar

Systems Modelling & Simulation Engineer

Mission Systems Engineer

Senior Thermal Engineer

MERITUS Talent are working with a Systems Integration consultancy for the recruitment of a Systems Engineer to join their engineering department on a permanent basis. The role is fully onsite, and suitable candidate should hold, or at least be eligible, for a SC ClearanceSystems Engineer - Permanent - Up to £65,000pa - SC Cleared - Kent - Fully OnsiteRole Overview:Reporting to the Engineering Director, the purpose of this role is to carry out systems engineering and analysis for the our customers product range. This will include involvement in the entire product life cycle, from concept to end-of-life and working with the product line and mechanical and software teams in the engineering department. Working with the wider team (sales and marketing, operations, quality) to analyse new business opportunities. Review technical requirements and generating technical proposals and information that support the business winning process for both new products and the existing product lines. Work with the Product Line Engineering Managers to provide realistic time and cost estimates for projects.Main Duties & Responsibilities:1. To analyse, capture and generate specifications for our customers products and systems.2. To support sales and business development by advising and responding to technical questions and generating commercially astute technical proposals, technical notes, reports and explanations as required.3. To support the new product introduction process by identifying risks and proposing effective mitigation actions.4. To maintain an up-to-date knowledge of systems engineering and propose and implement cost effective and appropriate technology solutions for our customers systems engineering needs.5. To undertake customer and supplier visits as required.Experience:Relevant experience in systems engineering, electro-optics or electro-mechanics, preferably gained in a defence or homeland security business.Practical experience of electronicFMEA AnalysisSkills:Effective communicator both written and orally.Systems analysis using software tools (e.g. Matlab/Octave, C#, Python).Strong mathematical skills.An understanding of embedded C and C++ would be advantageousComputer literate (MS Office packages).Systems engineering and analysis techniques and principlesDefence related environmental and EMC standards (Mil-Stds, DEF-STANs)Geographical information systems (GIS) advantageousControl theory with working knowledge of servo systems and control loops advantageous.Qualifications:The ideal candidate should have a degree level qualification in systems engineering, physics or electronics

TPBN1_UKTJ

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.

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.

Machine Learning vs. Deep Learning vs. MLOps Jobs: Which Path Should You Choose?

Machine Learning (ML) continues to transform how businesses operate, from personalised product recommendations to automated fraud detection. As ML adoption accelerates in nearly every industry—finance, healthcare, retail, automotive, and beyond—the demand for professionals with specialised ML skills is surging. Yet as you browse Machine Learning jobs on www.machinelearningjobs.co.uk, you may encounter multiple sub-disciplines, such as Deep Learning and MLOps. Each of these fields offers unique challenges, requires a distinct skill set, and can lead to a rewarding career path. So how do Machine Learning, Deep Learning, and MLOps differ? And which area best aligns with your talents and aspirations? This comprehensive guide will define each field, highlight overlaps and differences, discuss salary ranges and typical responsibilities, and explore real-world examples. By the end, you’ll have a clearer vision of which career track suits you—whether you prefer building foundational ML models, pushing the boundaries of neural network performance, or orchestrating robust ML pipelines at scale.

Machine Learning Programming Languages for Job Seekers: Which Should You Learn First to Launch Your ML Career?

Machine learning has swiftly become a cornerstone of modern technology, transforming entire industries—healthcare, finance, e-commerce, and beyond. As a result, demand for machine learning engineers, data scientists, and ML researchers continues to surge, creating a rich landscape of opportunity for job seekers. But if you’re new to the field—or even an experienced developer aiming to transition—the question arises: Which programming language should you learn first for a successful machine learning career? From Python and R to Scala, Java, C++, and Julia, the array of choices can feel overwhelming. Each language boasts its own community, tooling ecosystem, and industry use cases. This detailed guide, crafted for www.machinelearningjobs.co.uk, will help you align your learning path with in-demand machine learning roles. We’ll delve into the pros, cons, and ideal use cases for each language, offer a simple starter project to solidify your skills, and provide tips for leveraging the ML community and job market. By the end, you’ll have the insights you need to confidently pick a language that catapults your machine learning career to new heights.