Tool Maker

Redditch
2 weeks ago
Create job alert

Tool Maker

Precision Manufacturing

Location: Redditch
Salary: Circa £48,000 including shift allowance
Shifts: Early and Late Rotating (Monday to Friday)

A leading precision manufacturing business in Redditch is seeking an experienced Tool Maker to join their specialist team. Working in a clean, modern, and well-equipped Toolroom, this is a great opportunity for someone looking to apply high-level manual machining skills in a professional and stable environment.

Tool Maker

The Role:
This is a hands-on role focused on manual machining techniques and the end-to-end production of precision tooling components. You'll be involved in everything from new tool manufacture to the repair and adjustment of existing tools, supporting a high-specification production facility.

Tool Maker

Key Responsibilities:

  • Manufacture, assemble, modify, and repair precision tooling to production specifications.

  • Read and interpret detailed engineering drawings and technical specifications.

  • Operate a wide range of traditional Toolroom equipment including:

    • Manual lathes

    • Milling machines

    • Surface and universal grinders

    • Spark erosion machines

    • Honing and lapping machines

  • Carry out routine maintenance of tools and support continuous improvement of tooling designs and processes.

  • Work closely with engineering and production teams to ensure tooling meets operational requirements.

    Tool Maker

    Requirements:

  • Strong background in manual toolroom machining is essential.

  • Apprentice-trained or equivalent hands-on engineering experience preferred.

  • Comfortable working from complex technical drawings with a high degree of precision.

  • Experience in a precision manufacturing or tooling environment.

  • Proactive, quality-focused, and able to work independently within a small team.

    Embracing diversity in all its forms, our client is an equal-opportunity employer. They welcome individuals from all walks of life, irrespective of race, gender, age, disability, sexual orientation, religion, or belief.

    By applying through Green Folk Recruitment, you consent to share your information with our client for recruitment purposes. We handle your data with care, aligning with our privacy policy for recruitment-related activities. Please be informed that all final hiring decisions rests solely with our client. Should you have any inquiries, kindly direct them to Green Folk Recruitment for a transparent and streamlined recruitment experience. Green Folk Ltd is acting as a recruitment agency in relation to this vacancy

Related Jobs

View all jobs

Toolmaker

Toolmaker

Business Intelligence and Reporting Analyst

Toolmaker

Power BI Developer Contract role. Crewe, £350 per day

Data Engineer (Databricks, AWS) Leicester/Hybrid £55k

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.

Quantum-Enhanced AI in Data Engineering: Reshaping the Big Data Pipeline

Data engineering has become an indispensable pillar of the modern technology ecosystem. As companies gather massive troves of data—often measured in petabytes—the importance of robust, scalable data pipelines cannot be overstated. From ingestion and storage to transformation and analysis, data engineers stand at the forefront of delivering reliable data for analytics, machine learning, and critical business decisions. Simultaneously, the field of Artificial Intelligence (AI) has undergone a revolution, transitioning from niche research projects to a foundational tool for everything from predictive maintenance and fraud detection to customer experience personalisation. Yet as AI models grow in complexity—think large language models with hundreds of billions of parameters—the data volumes and computational needs escalate dramatically. The industry finds itself at an inflection point: traditional computing systems may eventually hit performance ceilings, even when scaled horizontally with thousands of nodes. Enter quantum computing, a nascent yet rapidly progressing technology that leverages quantum mechanics to tackle certain computational tasks exponentially faster than classical machines. While quantum computing is still maturing, its potential to supercharge AI workflows—often referred to as quantum-enhanced AI—has piqued the curiosity of data engineers and enterprises alike. This synergy could solve some of the biggest headaches in data engineering: accelerating data transformations, enabling more efficient analytics, and even facilitating entirely new kinds of modelling once believed to be intractable. In this article, we explore: How data engineering has evolved to support AI’s insatiable appetite for high-quality, well-structured data. The fundamentals of quantum computing and why it may transform the data engineering landscape. Potential real-world applications for quantum-enhanced AI in data engineering—from data ingestion to machine learning pipeline optimisation. Emerging career paths and skill sets needed to thrive in a future where data, AI, and quantum computing intersect. Challenges, ethical considerations, and forward-looking perspectives on how this convergence might shape the data engineering domain. If you work in data engineering, are curious about quantum computing, or simply want to stay on the cutting edge of technology, read on. The next frontier of data-driven innovation may well be quantum-powered.

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

Data. It’s the critical lifeblood of every forward-thinking organisation, fueling everything from strategic decision-making to real-time analytics. As data volumes skyrocket and technologies mature, the UK has distinguished itself as a frontrunner in data innovation. A robust venture capital scene, government-backed initiatives, and a wealth of academic talent have created fertile ground for data-centric start-ups across the country. In this Q3 2025 Investment Tracker, we’ll delve into the newly funded UK start-ups shaping the future of data engineering. More importantly, we’ll explore the rich job opportunities that have emerged alongside these funding announcements. From building scalable ETL (Extract, Transform, Load) pipelines to architecting data warehouses and implementing advanced data governance frameworks, data engineers, architects, and analysts have an incredible array of roles to pursue. If you’re eager to elevate your career in data engineering, read on for insights into the most dynamic start-ups, their fresh capital injections, and the skill sets they’re hungry for.

Portfolio Projects That Get You Hired for Data Engineering Jobs (With Real GitHub Examples)

Data is increasingly the lifeblood of businesses, driving everything from product development to customer experience. At the centre of this revolution are data engineers—professionals responsible for building robust data pipelines, architecting scalable storage solutions, and preparing data for analytics and machine learning. If you’re looking to land a role in this exciting and high-demand field, a strong CV is only part of the puzzle. You also need a compelling data engineering portfolio that shows you can roll up your sleeves and deliver real-world results. In this guide, we’ll cover: Why a data engineering portfolio is crucial for standing out in the job market. Choosing the right projects for your target data engineering roles. Real GitHub examples that demonstrate best practices in data pipeline creation, cloud deployments, and more. Actionable project ideas you can start right now, from building ETL pipelines to implementing real-time streaming solutions. Best practices for structuring your GitHub repositories and showcasing your work effectively. By the end, you’ll know exactly how to build and present a portfolio that resonates with hiring managers—and when you’re ready to take the next step, don’t forget to upload your CV on DataEngineeringJobs.co.uk. Our platform connects top data engineering talent with companies that need your skills, ensuring your portfolio gets the attention it deserves.