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

Apply Now

System Engineering Consultant

Alexander Associates Technical Recruitment
London
8 months ago
Applications closed

Related Jobs

View all jobs

Remote Senior Data Engineer - Tasman Analytics

Senior Data Engineer refH225

Solution Consultant - IT & Data Science (EMEA)

Solution Consultant - IT & Data Science

Data Engineer

Data Analyst ( SC Cleared/ SC Eligible)

System Engineering Consultant


  • Permanent Opportunity
  • Based in either Bristol or London
  • May be occasional travel to client sites
  • Competitive Salary
  • Bonus + Travel allowance


*Please note this role requires Security Clearance


Job Description

The client is seeking highly skilled Systems Engineering Consultants with diverse experience across various sectors, including Defence and Security, Public Services, Transport, Energy and Utilities, among others.


Some of the Daily tasks will involve the below:

  • Optimisation of mixed technical-digital systems and Operational Technology across large scale platforms in Defence
  • Use of MBSE to articulate architecture and design
  • Implementation of organisational design methodologies to create new ways of working for our clients
  • Design of systems-based frameworks and governance models to improve capability procurement and management
  • Development of cutting-edge transport solutions which are shaped by the requirements of modern societies
  • Implementation of AI and machine learning to transform data analysis and engineering delivery.


Required Skills

  • The ideal candidate will have extensive experience applying Systems Engineering principles and a Systems Thinking approach to solve complex, impactful challenges for clients.
  • You will demonstrate strong analytical skills while also utilizing creative and abstract thinking to develop innovative solutions.
  • As a client-facing role, you will be responsible for engaging with clients, delivering presentations, and effectively communicating both verbally and in writing, offering clear insights and recommendations.
  • Proven experience working across an engineering enterprise at different phases of the systems engineering lifecycle is essential.

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 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.

Jobs

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.

🍪 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.