National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Configuration Engineer

LA International
6 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Support Engineer (Computer Vision) Remote Opportunity

Network Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior MLOps/GenAI Infrastructure Engineer

Configuration Engineers - SC Cleared

Location: Luton (preferred) or Edinburgh
Duration: 6 months
Level: Various (Engineer/Senior Engineer/Principal Engineer)


We are looking for Configuration Engineers at various levels to join our Aerospace & Defence client at their Luton and Edinburgh locations to play a fundamental role in our Business execution and push the technical boundaries associated with advanced tactical sensing, data fusion, communications, machine learning and defensive aids systems.

This role has a bias toward Software and Model Based Configuration Management.

As an experienced Configuration Engineer, preferably within the Aerospace and Defence Sector; you will be required to discharge the 5 key Configuration activities into IPT's (Integrated Project Teams) across all lifecycle phases of a Programme.

Within this role, you will give clear direction into the IPT on C&DM process and tools, be that at System Requirements, System level, Software, modelling or hardware. In doing so, you must be prepared to 'challenge the norm' and support the IPT's in process tailoring to fit the lifecycle phase and/or context of a Programme.

Responsibilities:

* Drive a pro-active approach to C&DM into IPT's
* Support the Head of Configuration and Data Management in encouraging new ideas and innovative solutions into the IPT and the Line of Business (LoB)
* Resolve C&DM issues within an IPT by making proposals and driving through solutions
* Provide C&DM Basis of Estimate (BoE) into Work packages
* Build and manage Customer and Supplier relationships
* Demonstrate self-management and be able to support the development of other Team Members when required
* Develop and promote knowledge and use of PLM and associated Engineering tools
* Work hand-in-hand with our engineering delivery teams to ensure the Project dataset is maintained and configuration controlled

Essential:

* A good understanding of Configuration Management in accordance with DEF STAN 05-57.
* Excellent practical understanding of the five key elements of Configuration Management:
- Configuration Management Planning including generation and review of CM Plan
- Configuration Identification
- Change Control - Must have had experience in operating Change Control Boards including Configuration status input to the Board
- Configuration Status Accounting with emphasis on the generation of Configuration Baselines
- Verification and Audit (led FCA/PCA)
* Experience with Software Configuration Management at the point of release into the Product structure
* A broad understanding of Configuration Control during Software development
* Provided C&DM input to Design Reviews and Certification (Configuration Baseline Management)
* Configuration Management experience in the development of Safety critical products
* Use of Product Management Tools (essential) - Teamcenter version 13 (Unified) and SAP (Desired)

Desirable:

* Sufficient knowledge to support the Head of C&DM in the continued development of Model based Configuration Management processes
* Ability to conduct verification Audits on Software
* Dimensions Administration

Please send your latest CV


National AI Awards 2025

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.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.

Part-Time Study Routes That Lead to Machine Learning Jobs: Evening Courses, Bootcamps & Online Masters

Machine learning—a subset of artificial intelligence—enables computers to learn from data and improve over time without explicit programming. From predictive maintenance in manufacturing to recommendation engines in e-commerce and diagnostic tools in healthcare, machine learning (ML) underpins many of today’s most innovative applications. In the UK, demand for ML professionals—engineers, data scientists, research scientists and ML operations specialists—is growing rapidly, with roles projected to increase by over 50% in the next five years. However, many aspiring ML practitioners cannot step away from work or personal commitments for full-time study. Thankfully, a rich ecosystem of part-time learning pathways—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn machine learning while working. This comprehensive guide examines each route: foundational CPD units, immersive bootcamps, accredited online MSc programmes, funding options, planning strategies and a real-world case study. Whether you’re a software developer branching into ML, a statistician aiming to upskill, or a professional exploring AI-driven innovation, you’ll discover how to build in-demand ML expertise on your own schedule.