Production Technician / Engineer

Conwy
1 week ago
Applications closed

Related Jobs

View all jobs

Quality Technician

Project & Technical Support Engineer

Production Controller

Data Engineer

Technology Process Engineer

Lead Enterprise Architect, Advanced Analytics

Role: Production Technician / Engineer
Location: Conwy, North Wales
Onsite role
Salary: Competitive
Experience: All levels considered - graduate or experienced

The Role:

A well-established engineering company that develops and manufactures geophysical borehole logging equipment is seeking a Production Technician / Engineer to join its production team. The company supplies a range of winches, probes, and accessories to clients globally, operating a low-volume, high-precision production process with many bespoke products.

Based in Glan Conwy, North Wales, the company offers a hands-on technical role that includes training on specialized tools and equipment.

The ideal candidate will have a solid practical understanding of electrical, electronic, and mechanical systems. Flexibility and a proactive attitude are essential, as day-to-day responsibilities may vary in line with business needs.

Key Skills:

Practical mechanical skills with an aptitude for precise work and a basic understanding of mechanical systems.
Practical electrical and electronics skills with a good eye for detail, including soldering and a basic understanding of electronics and electrical systems.
Familiarity with test and measurement tools such as multimeters, insulation testers, oscilloscopes, signal generators, etc.
Ability to interpret wiring diagrams and mechanical drawings.
Logical, methodical approach to fault-finding and troubleshooting.
Strong organizational and teamwork skills within a production setting.
Self-motivation and decision-making confidence.
Familiarity with quality standards such as ISO9001 is advantageous.
IT literate, with proficiency in using Microsoft Office tools and email.Key Duties:

Mechanical and electrical assembly of tools and equipment.
Undertaking repairs of tools returned from the field.
Functional, performance, and reliability testing of products, including completion of acceptance documentation.
Fault finding and troubleshooting of systems.
Calibration of data acquisition tools.
Creating test procedures and quality control documentation.
Packaging and dispatch preparation for customer orders.
Liaising with the manufacturing facility.Qualifications/Experience:

A university degree in Engineering, HND in Engineering, or a time-served apprenticeship in a relevant discipline.
Alternatively, a technical tradesperson with 3+ years' experience in a technician role who possesses transferable skills and a proactive mindset will also be considered.What We Offer:

Competitive salary, commensurate with skills and experience
Company contributions to a private pension scheme
A relaxed and friendly work environment in beautiful North Wales
Opportunities for international travelPeople 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.

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.

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.

Data Science Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Data science has become an indispensable cornerstone of modern business, driving decisions across finance, healthcare, e-commerce, manufacturing, and beyond. As organisations scramble to capitalise on the insights their data can offer, data scientists and machine learning (ML) experts find themselves in ever-higher demand. In the UK, which has cultivated a robust ecosystem of tech innovation and academic excellence, data-driven start-ups continue to blossom—fuelled by venture capital, government grants, and a vibrant talent pool. In this Q3 2025 Investment Tracker, we delve into the newly funded UK start-ups making waves in data science. Beyond celebrating their funding milestones, we’ll explore the job opportunities these investments have created for aspiring and seasoned data scientists alike. Whether you’re interested in advanced analytics, NLP (Natural Language Processing), computer vision, or MLOps, these start-ups might just offer the career leap you’ve been waiting for.