Senior Manufacturing Engineer

Basingstoke
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

Senior Big Data Engineer (Databricks) - RELOCATION TO ABU DHABI

Senior Big Data Engineer (Databricks) - RELOCATION TO ABU DHABI

Data Scientist, MSAT

Cost Accountant

Job Title: Senior Manufacturing Engineer
Location: Basingstoke

Salary: £45,000 - £55,000 per annum (depending on experience)
Contract Type: Permanent, Full-Time, On-Site
Working Hours:

Monday - Thursday: 08:00 - 16:30
Friday: 08:00 - 14:00
(Includes unpaid 30-minute lunch break)
Reports To: Managing DirectorBenefits

23 days holiday plus bank holidays
Private health insurance
Employer pension contribution
Free on-site parking
Company mobile phone
Employee Assistance Programme (24hr helpline via Health Assured)Role Overview

We are seeking a highly skilled and experienced Senior Manufacturing Engineer with a strong focus on quality control. This hands-on role involves leading process improvements, managing new product introductions, ensuring quality compliance, and mentoring junior engineers. You will play a key role in maintaining standards and driving engineering excellence across production processes.

Key Responsibilities

Develop and improve workflows, job packs, routings, and SOPs
Conduct internal, supplier, and subcontractor audits; coordinate AS9100 audits
Manage Non-Conformance Reports (NCRs) and implement corrective actions
Assist with production scheduling alongside the Engineering Manager and Managing Director
Lead New Product Introduction (NPI) and modification projects
Ensure compliance with AS9100 standards and support quality assurance activities
Communicate with customers on NPI progress, NCRs, and corrective actions
Liaise with suppliers and subcontractors to resolve engineering matters
Support design, production, and purchasing teams with manufacturing engineering expertise
Participate in quality and production meetings
Attend occasional site visits (supplier/customer)
Weekend work may be required on occasion
This role includes line management of 2 direct reportsQualifications and Experience

Strong manufacturing engineering background in aerospace or motorsport environments
Degree, HNC/HND, BTEC Level 5 or equivalent experience in Engineering
Experience with AS9100 quality systems is essentialSkills and Attributes

Able to interpret engineering drawings and apply GD&T
High attention to detail and strong quality mindset
Proficient with Microsoft Office applications
Skilled with handheld measuring tools (e.g., bore gauges, height gauges)
Strong interpersonal and communication skills
Organised, self-motivated, and a proactive team player
Calm and professional under pressure
Strong problem-solving abilitiesHow to apply?

Please send a CV to

People Source Consulting Ltd is acting as an Employment Agency in relation to this vacancy. People Source specialise in technology recruitment across niche markets including Information Technology, Digital TV, Digital Marketing, Project and Programme Management, SAP, Digital and Consumer Electronics, Air Traffic Management, Management Consultancy, Business Intelligence, Manufacturing, Telecoms, Public Sector, Healthcare, Finance and Oil & Gas

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.

Careers Education

Top 10 Best UK Universities for Data Science Degrees (2025 Guide)

Discover ten of the strongest UK universities for Data Science degrees in 2025. Compare entry requirements, course content, research strength and industry links to choose the right programme for you. Data is the currency of the modern economy, and professionals who can wrangle, model and interpret vast datasets are in demand across every sector—from biotechnology and finance to sport and public policy. UK universities have been at the forefront of statistics, artificial intelligence and large-scale computing for decades, making the country a prime destination for aspiring data scientists. Below, we profile ten institutions whose undergraduate or postgraduate pathways excel in data science. Although league tables vary each year, these universities have a proven record of excellence in teaching, research and industry collaboration.

Jobs Careers

Veterans in Data Science: A Military‑to‑Civilian Pathway into Analytical Careers

Introduction The UK Government’s National AI Strategy projects that data‑driven innovation could add £630 billion to the economy by 2035. Employers across healthcare, defence, and fintech are scrambling for professionals who can turn raw data into actionable insights. In 2024 alone, job‑tracker Adzuna recorded a 42 % year‑on‑year rise in data‑science vacancies, with average advertised salaries surpassing £65k. For veterans, that talent drought is a golden opportunity. Whether you plotted artillery trajectories, decrypted enemy comms, or managed aircraft engine logs, you have already practised the fundamentals of hypothesis‑driven analysis and statistical rigour. This guide explains how to translate your military experience into civilian data‑science language, leverage Ministry of Defence (MoD) transition programmes, and land a rewarding role building predictive models that solve real‑world problems. Quick Win: Take a peek at our live Junior Data Scientist roles to see who’s hiring this week.

Jobs

Quantum-Enhanced AI in Data Science: Embracing the Next Frontier

Data science has undergone a staggering transformation in the past decade, evolving from a niche academic discipline into a linchpin of modern industry. Across every sector—finance, healthcare, retail, manufacturing—data scientists have become indispensable, leveraging statistical methods and machine learning to turn raw information into actionable insights. Yet as datasets grow ever larger and machine learning models become more computationally expensive, there are genuine questions about how far current methods can be pushed. Enter quantum computing, a nascent but promising technology grounded in the counterintuitive principles of quantum mechanics. Often dismissed just a few years ago as purely experimental, quantum computing is quickly gaining traction as prototypes evolve into cloud-accessible machines. When paired with artificial intelligence—particularly in the realm of data science—the results could be game-changing. From faster model training and complex optimisation to entirely new forms of data analysis, quantum-enhanced AI stands poised to disrupt established practices and create new opportunities. In this article, we will: Explore how data science has reached its current limits in certain areas, and why classical hardware might no longer suffice. Provide an accessible overview of quantum computing concepts and how they differ from classical systems. Examine the potential of quantum-enhanced AI to solve key data science challenges, from data wrangling to advanced machine learning. Highlight real-world applications, emerging job roles, and the skills you need to thrive in this new landscape. Offer actionable steps for data professionals eager to stay ahead of the curve in a rapidly evolving field. Whether you’re a practising data scientist, a student weighing up your future specialisations, or an executive curious about the next technological leap, read on. The quantum era may be closer than you think, and it promises to radically transform the very fabric of data science.

🍪 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.