Cnc Programmer

Shipton On Cherwell
1 year ago
Applications closed

CNC Programmer
Company overview Alloyed is a young venture-funded company of around 120 world-class metallurgists, mechanical engineers, technicians, and software developers working across three offices in the UK and one in the US, building the future of advanced metal components. We use proprietary software packages which combine advanced machine learning and physical modelling, as well as extensive experimental facilities, to 3D print metal components better and faster than anyone else.
The CNC Programmer will be responsible for the programming, setup, and operation of CNC machines to produce high-quality, high-precision parts for new product introduction (NPI). The ideal candidate should have a strong background in CNC programming and operation, as well as a keen eye for detail and a commitment to maintaining the highest standards of quality and precision. The ideal candidate will also have some experience with Design for Manufacturing (DFM) and will be skilled with CAD to design and propose fixturing and component design that aid its manufacturability for high-precision CNC results. You will be based at Abingdon Business Park, south of Oxford. Training will be provided where required.
Cnc Programmer Responsibilities:
Programming:

  • Develop 5-axis CNC programs for new product introductions based on engineering drawings, models, and specifications.
  • Optimise programs to ensure efficient production, minimise waste, and reduce cycle times.
    CNC Machine Setup and Operation:
  • Set up CNC machines, including loading materials, tooling selection, and fixture installation.
  • Perform routine maintenance and troubleshooting on CNC machines to ensure optimal performance.
  • Operate CNC machines to manufacture parts according to established specifications and quality standards.
    New Product Introduction (NPI):
  • Collaborate with the engineering and design teams during the NPI process to provide technical expertise and insights.
  • Review engineering drawings and models to identify potential manufacturing challenges and offer design for manufacturability (DFM) recommendations.
  • Participate in prototype development, ensuring accurate translation of designs into functional parts
    Quality Assurance and Documentation:
  • Monitor and maintain quality control procedures, including in-process inspections and final product verification.
  • Document all relevant data, including measurements, process parameters, and any deviations or nonconformances.
    Essential
  • Experience in 5-axis programming with Fusion 360 CAM
  • Jig and fixture design and Fusion 360 CAD
  • Working in a precision engineering environment • Organised and able to work independently, but also to collaborate with a diverse, fast-moving team
  • Proficient with Microsoft Office (Excel, PowerPoint, Outlook)
  • Hands-on attitude and willingness to learn new skills
  • High level of attention to detail
    Desirable
  • Experience with DMG milling machine and Siemens control
  • Lathe programming and operation
  • Understanding of DFM for additively manufactured near net-shape parts
  • Experience operating under AS9100/ISO9001 environment
  • New product introduction – FAI, AQPQ
  • Willingness to work flexible hours if needed
    The supporting statement should explain your motivations and how you meet the selection criteria for the role using examples of your skills and any experience. All documents should be uploaded as PDF files with your name and document type in the filename. Please provide details of two referees and indicate if we can contact them now

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.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

The Skills Gap in Machine Learning Jobs: What Universities Aren’t Teaching

Machine learning has moved from academic research into the core of modern business. From recommendation engines and fraud detection to medical imaging, autonomous systems and language models, machine learning now underpins many of the UK’s most critical technologies. Universities have responded quickly. Machine learning modules are now standard in computer science degrees, specialist MSc programmes have proliferated, and online courses promise to fast-track careers in the field. And yet, despite this growth in education, UK employers consistently report the same problem: Many candidates with machine learning qualifications are not job-ready. Roles remain open for months. Interview processes filter out large numbers of applicants. Graduates with strong theoretical knowledge struggle when faced with practical tasks. The issue is not intelligence or effort. It is a persistent skills gap between university-level machine learning education and real-world machine learning jobs. This article explores that gap in depth: what universities teach well, what they routinely miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in machine learning.