National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Manufacturing Engineer - Machining

Halewood
7 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Senior Engineer Automation & Developer

Senior Machine Learning Engineer

Machine Learning Software Engineer, Research

Head of AI Acceleration & Delivery

Machine Learning Operations Engineer

Are you experienced in Manufacturing and seeking a fresh challenge?

Are you ready to take on a pivotal role in maintaining and enhancing essential production machinery?

Do you have a passion for the future of electric vehicles?

Join the team at Ford Transmissions Halewood as a Manufacturing Engineer!

Salary: ££39,073.33 - £61,116.53 (inclusive of 35% holiday bonus for 33 days per year; 25 vacation and 8 bank holidays)

Hours: Monday to Thursday 7:00-15:30 and Friday 7:00-12:30

Benefits:

Access to the Employee Development and Assistance Programme (EDAP)
Discounted Ford vehicles through the Privilege scheme
Competitive pension scheme and annual salary increases
Generous holiday allowance of 25 days
Take advantage of the Cycle to Work Scheme
Enjoy on-site facilities such as a gym, sauna, steam room, and moreKey Responsibilities:

Lead and manage major capital projects while ensuring safety, cost control, and on-time delivery, aligned with engineering standards.
Own and oversee the manufacturing processes for key components and assemblies, driving cost-saving initiatives and efficiency improvements.
Ensure compliance with standards (GIS, TS16949, ISO14001, ISO18001) and promote environmental responsibility, safety, and a zero-accident culture.
Collaborate effectively with internal and external teams, including contractors and trade unions, ensuring clear communication and seamless project execution.
Drive continuous improvement by identifying innovative solutions, applying Lean manufacturing techniques, and promoting a Diversity, Equity, and Inclusion ethos.Qualifications and Experience:

Degree in Automotive or Mechanical Engineering with experience in conventional machining processes like turning, drilling, and grinding; experience in gear machining (e.g., hobbing) is a plus.
Strong knowledge of project management and problem-solving techniques (e.g., 8Ds, 5 Why, Six Sigma), with the ability to handle complex challenges and meet tight deadlines.
Proficient in Microsoft Office and project management software, with an analytical mindset and a good understanding of data science principles.
Highly motivated, resilient, with excellent communication and leadership skills to manage teams and inspire collaboration.
Experience in Lean manufacturing, ergonomics, manual handling, and Statistical Process Control (SPC), with a strong commitment to safety and continuous improvement

National AI Awards 2025

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.

How to Get a Better AI Job After a Lay-Off or Redundancy

Being made redundant or laid off can feel like the rug has been pulled from under you. Whether part of a wider company restructuring, budget cuts, or market shifts in tech, many skilled professionals in the AI industry have recently found themselves unexpectedly jobless. But while redundancy brings immediate financial and emotional stress, it can also be a powerful catalyst for career growth. In the fast-evolving field of artificial intelligence, where new roles and specialisms emerge constantly, bouncing back stronger is not only possible—it’s likely. In this guide, we’ll walk you through a step-by-step action plan for turning redundancy into your next big opportunity. From managing the shock to targeting better AI jobs, updating your CV, and approaching recruiters the smart way, we’ll help you move from setback to comeback.

AI Jobs Salary Calculator 2025: Work Out Your Market Value in Seconds

Why your 2024 salary data is already outdated “Am I being paid what I’m worth?” It is the question that creeps in whenever you update your CV, see a former colleague announce a punchy pay rise on LinkedIn, or notice a recruiter slide into your inbox with a role that looks eerily similar to your current one—only advertised at £20k more. Artificial intelligence moves faster than any other hiring market. New frameworks are open‑sourced overnight, venture capital floods specific niches without warning, & entire job titles—Prompt Engineer, LLM Ops Specialist—appear in the time it takes most industries to schedule a meeting. In that environment, salary guides published only a year ago already look like historical curiosities. To give AI professionals an up‑to‑the‑minute benchmark, ArtificialIntelligenceJobs.co.uk has built a simple yet powerful salary‑calculation formula. By combining three variables—role, UK region, & seniority—you can estimate a realistic 2025 salary band in less than a minute. This article explains that formula, unpacks the latest trends driving pay, & offers concrete steps to boost your personal market value over the next 90 days.

How to Present AI Models to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

In today’s competitive job market, AI professionals are expected to do more than just build brilliant algorithms—they must also explain them clearly to stakeholders who may have no technical background. Whether you're applying for a role as a machine learning engineer, data scientist, or AI consultant, your ability to articulate complex models in simple terms is fast becoming one of the most valued soft skills in interviews and on the job. This guide will help you master the art of public speaking for AI roles, offering tips on structuring presentations, designing effective slides, and using storytelling to make your work resonate with any audience.