Manufacturing Engineer

Halewood
1 month ago
Applications closed

Related Jobs

View all jobs

Cost Capability Engineer

Automation Engineer

Algorithm Developer

Data Analyst

Data Analyst

Field Quality Reporting Executive

Shape the Future of Automotive Technology! Manufacturing Engineer - Assembly - Ford Halewood

Join Ford Halewood Transmissions, a global leader in electric vehicle technology, as a Manufacturing Engineer and play a crucial role in shaping the future of automotive manufacturing.

You'll be at the forefront of innovation, working with cutting-edge technologies and processes within our newly transformed Halewood facility.

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 moreIn this dynamic role, you'll:

Lead and manage major capital projects focused on Assembly processes, ensuring safety, cost control, and on-time delivery while adhering to engineering standards.
Own and optimise manufacturing processes for key components and assemblies, driving continuous improvement initiatives and maximising cost-efficiency.
Collaborate with cross-functional teams, including engineers, managers, production personnel, and maintenance professionals, to deliver high-quality results.
Apply your expertise in machining processes like turning, drilling, spline rolling, and diameter grinding to enhance operational efficiency and product quality.
Contribute to a culture of safety, sustainability, and continuous improvement, championing Lean manufacturing techniques and a zero-accident environment.
Control costs to ensure best possible value for the company
Devise and implement efficiency improvements
Monitor compliance to necessary standards; GIS, TS16949, ISO14001 & ISO18001
Drive Reliability and Maintainability philosophy from enquiry to installation
Identify and implement innovative solutions to engineering issues
Effectively manage contractors in all aspects of projects, especially health and safety and project controlThis is an exciting opportunity for a driven Manufacturing Engineer with:

Degree in automotive or mechanical engineering - Essential
Experience in a similar environment - Essential.
General computer literacy and familiar with Excel, Word or equivalent and project management
software (eg Project)
Analytical mindset, with some data science skills would be beneficial.
Ability to direct teams
Project management and change management experience is essential.
Conventional machining processes (turning, drilling, grinding)
Gear machining (hobbing, honing, helical grinding, laser welding)
Project management and problem-solving methodologies (8Ds, 5 Why, Six Sigma)
Lean manufacturing, ergonomics, manual handling, and Statistical Process Control (SPC)You will:

Utilise your knowledge of project management and problem-solving techniques to manage complex projects and meet tight deadlines.
Work with Microsoft Office and project management software to analyse data, track progress, and drive improvements.
Demonstrate strong communication and leadership skills to effectively collaborate with teams and drive innovation.
Be a highly motivated and resilient individual with a passion for continuous improvement and a commitment to safety.The Company is committed to diversity and equality of opportunity for all and is opposed to any form of less favourable treatment or harassment on the grounds of race, religion or belief, sex, marriage and civil partnership, pregnancy and maternity, age, sexual orientation, gender reassignment or disability. This vacancy is advertised in line with the FORD equal opportunities policy

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.

Navigating Machine Learning Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

Machine learning (ML) has swiftly become one of the most in-demand skill areas across industries, with companies leveraging predictive models and data-driven insights to solve challenges in healthcare, finance, retail, manufacturing, and beyond. Whether you’re an early-career data scientist aiming to break into ML, a seasoned engineer branching into deep learning, or a product manager exploring AI-driven solutions, machine learning career fairs offer a powerful route to connect with prospective employers face-to-face. Attending these events can help you: Network with hiring managers and technical leads who make direct recruitment decisions. Gain insider insights on the latest ML trends and tools. Learn about emerging job roles and new industry verticals adopting machine learning. Showcase your interpersonal and communication skills, both of which are increasingly important in collaborative AI/ML environments. However, with many applicants vying for attention in a bustling hall, standing out isn’t always easy. In this detailed guide, we’ll walk you through how to prepare meticulously, pitch yourself confidently, ask relevant questions, and follow up effectively to land the machine learning opportunity that aligns with your ambitions.

Common Pitfalls Machine Learning Job Seekers Face and How to Avoid Them

Machine learning has emerged as one of the most sought-after fields in technology, with companies across industries—from retail and healthcare to finance and manufacturing—embracing data-driven solutions at an unprecedented pace. In the UK, the demand for skilled ML professionals continues to soar, and opportunities in this domain are abundant. Yet, amid this growing market, competition for machine learning jobs can be fierce. Prospective employers set a high bar: they seek candidates with not just theoretical understanding, but also strong practical skills, business sense, and an aptitude for effective communication. Whether you’re a recent graduate, a data scientist transitioning into machine learning, or a seasoned developer pivoting your career, it’s essential to avoid common mistakes that may hinder your prospects. This blog post explores the pitfalls frequently encountered by machine learning job seekers, and offers actionable guidance on how to steer clear of them. If you’re looking for roles in this thriving sector, don’t forget to check out Machine Learning Jobs for the latest vacancies across the UK. In this article, we’ll break down these pitfalls to help you refine your approach in applications, interviews, and career development. By taking on board these insights, you can significantly enhance your employability, stand out from the competition, and secure a rewarding position in the world of machine learning.

Career Paths in Machine Learning: From Entry-Level Roles to Leadership and Beyond

Machine learning has rapidly transformed from an academic pursuit to a cornerstone of modern technology, fueling innovations in healthcare, finance, retail, cybersecurity, and virtually every industry imaginable. From predictive analytics and computer vision to deep learning models that power personalisation algorithms, machine learning (ML) is reshaping business strategies and creating new economic opportunities. As demand for ML expertise continues to outstrip supply, the UK has become a vibrant hub for machine learning research, entrepreneurship, and corporate adoption. Whether you’re just starting out or have experience in data science, software development, or adjacent fields, there has never been a better time to pursue a career in machine learning. In this article, we will explore: The growing importance of machine learning in the UK Entry-level roles that can kick-start your ML career The skills and qualifications you’ll need to succeed Mid-level and advanced positions, including leadership tracks Tips for job seekers on www.machinelearningjobs.co.uk By the end, you’ll have a clear view of how to build, grow, and lead in one of the most exciting fields in modern technology.