Manufacturing Engineer

Rickleton
10 months ago
Applications closed

Related Jobs

View all jobs

Data Mining Specialist

Business Data Analyst

Data Engineer

Senior Data Engineer - Azure, BI & Data Strategy

Data Analyst

Junior Data Analyst - Power BI / SQL

We are AMS. We are a global total workforce solutions firm. Our Contingent Workforce Solution (CWS) is one of our service offerings; we act as an extension of our clients' recruitment team and provide professional interim and temporary resources.

Our client is a respected engineering organisation operating in many sectors including energy, aerospace, marine and defence. Our client pioneers' cutting-edge technologies that deliver clean, safe & competitive solutions to meet our planet's vital power needs.

The Role:

AMS is currently recruiting for several Manufacturing Engineers to join our Clients team in Washington. This is an exciting opportunity to contribute to our Civil Operations across a range of aerospace products, supporting both legacy and modern platforms.

As a Manufacturing Engineer, you will:

Drive the development and implementation of robust overhaul capabilities to meet operational and customer requirements.
Apply continuous improvement methodologies and industry best practices to enhance efficiency, quality, and reliability.
Support the introduction and validation of new methods, tools, and technologies to strengthen overhaul operations.
Collaborate with cross-functional teams, suppliers, and technical experts to ensure seamless integration of engineering solutions.
Resolve technical challenges, ensuring data integrity and compliance with all relevant standards and regulations.
Manage project activities, communicate progress to stakeholders, and ensure alignment with business objectives.

What we require from the candidate:

A high level of self-motivation, adaptability, and the ability to work effectively both independently and within a team.
A degree in a relevant engineering discipline or equivalent industry experience.
A solid understanding of core manufacturing engineering principles and tools.
Experience with structured problem-solving methodologies (e.g., 7-step, 8D, or similar).
Familiarity with regulatory frameworks such as EASA Part 145 is advantageous but not essential.
APQP, PFMEA, PPAP.

Next steps

If you are interested in applying for this Manufacturing Engineer position and meet the criteria outlined above, please click the link to apply and we will contact you with an update in due course.

Please note that due to recent changes in Off Payroll (IR35) legislation, our client only operates with contractors that operate via a PAYE or Umbrella model. We are unable to accept applications from candidates wishing to operate under their own Limited Company.

AMS, a Recruitment Process Outsourcing Company, may in the delivery of some of its services be deemed to operate as an Employment Agency or an Employment Business

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

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

Careers

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

Jobs

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.

🍪 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.