Project Engineer

Proftech Talent
Walsall
4 weeks ago
Applications closed

Related Jobs

View all jobs

Project Engineer

Senior Project Engineer

Data Engineering Lead (Snowflake & AWS Environment)

Python Developer

Senior Engineering Manager Computer Vision

Digital Design Engineer - High Speed Digital Design

Summary:The Project Engineer is responsible and accountable for planning, executing, and closing Projects. They define the project, build a comprehensive work plan, and then managing to the budget. The core function will be to collaborate with other functions within the business to implement new projects that are aligned to the company's growth expectations. Project Engineers can demonstrate that they embrace our company core values, have a can do attitude and are dedicated to the timely completion of their work. Project Engineers undertake tasks, whilst ensuring that high standards of safety, quality and efficiency are consistently maintained. Project Engineers are required to hold an in-depth understanding of our production processes and a willingness to get involved in SQCPD continuous improvement projects and processes, fostering a culture of excellence and accountability. Key Responsibilities:Communication.Constructing and adhering to project plan.Good understanding of a number of project management software tools.The ability to construct project plans with multiple variables.Be assertive with other functions whilst demonstrating a professional approach.Attend morning SQCDP meetings and further daily communication meetings as a member of the team to ensure their understanding of targets and objectives.Build and maintain direct relationships with colleagues and customers, providing clear communication on all aspects of day-to-day operations.Escalate relevant issues by promptly bringing them to the attention of the Engineering Manager. Safety.Collaborate with the H&S officer and the leadership team to reduce risks in the area by following risk assessments and work instructions.Ensuring they are working safely and maintaining a safe working environment. (5's & Risk Assessments)Comply with all safety controls (method statements) in the area.Report accidents, near misses and safety concerns to a member of the leadership team in a timely manner.Quality.Ensure that projects adhere to customer expectations, provide clear accurate responses to Customer Concerns in a professional and timely manner.Report any quality concerns to their line manager and actively seek to improve quality whilst carrying out their dutiesComply with Company quality standards.Cost.Ensure compliance with project key mile stones, targets and objectives.Meet project deadlines in an efficient manner, 100% efficiency with an improving trend.Constantly strive for productivity gains through VA activity and removal or 8 wastesDelivery.Manage allocated budget to support the company's objectivesWork closely with other support functions to deliver the companies objectives.Collaborates with the NPI function to deliver exceptional internal customer serviceAccountable for the project planProviding accurate project progress on a weekly basisUtilizing capacity efficiently and effectivelyMonitors and executes project planAdvocate for the customer and uphold the promised delivery date.Keep customers and systems fully updated on any delays and expected planned dates.Coordinate with leadership and other departments to address exceptions.People.Engage with our 'Switched On' Rewarding and Recognition processFollow and uphold Company policies and proceduresEngage with other team members to Optimize Workgroup efficiencyMaintain high standards of attendance and punctualityEngage with learning and development, by engaging with our PDR (Performance Development Review) Cycle.Share best practice and voluntary support learning with other team (Coaching for Excellence)Maintain company standards, promote Company values, standards, policies and procedures.Participate in CI through our SQCDP processes to achieve and then to improve company standards.Engage team in Ci activities, Kaizen, 5S and problem-solving activities (Project Charters, Challenge Zero) QUALIFICATIONS / EXPERIENCE: Appropriate experience in a high pressure, rapidly changing manufacturing environment is considered significantly more important than paper qualifications. Specific leadership and objective setting would, however, be considered an advantageEssentialExcellent written & verbal communication skillsExcellent competency levels in Microsoft applications including Word, Excel and Outlook.Demonstratable Project Management experience within a Mechanical and/or Electrical Manufacturing environment.Ability to manage multiple projects, of varying complexity levels, and at various maturity stages.DesirableFormal Project Management qualificationProduct knowledge in Electrical Control Cabinets and/or Electro-mechanical assemblies.Competency in Microsoft Sharepoint. (Apply online only) Monday to Thursday (Apply online only) Friday -25 days holiday/plus Bank Hols and Birthday off plus lots of other Benefits

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.

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

In the fast-evolving world of artificial intelligence (AI), an impressive portfolio of projects can act as your passport to landing a sought-after role. Even if you’ve aced interviews in the past, employers in AI and machine learning (ML) are increasingly asking candidates to demonstrate hands-on experience through the projects they’ve built and shared online. This is because practical ability often speaks volumes about your suitability for a role—far more than any exam or certification alone could. In this article, we’ll explore how to build an outstanding AI portfolio that catches the eye of recruiters and hiring managers, including: Why an AI portfolio is crucial for job seekers. How to choose AI projects that align with your target roles. Specific project ideas and real GitHub examples to help you stand out. Best practices for showcasing your work, from writing clear READMEs to using Jupyter notebooks effectively. Tips on structuring your GitHub so that employers can instantly see your value. Moreover, we’ll discuss how you can use your portfolio to connect with top employers in AI, with a handy link to our CV-upload page on Artificial Intelligence Jobs for when you’re ready to apply. By the end, you’ll have a clear roadmap to building a portfolio that will help secure interviews—and the AI job—of your dreams.

AI Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

In today's competitive AI job market, nailing a technical interview can be the difference between landing your dream role and getting lost in the crowd. Whether you're looking to break into machine learning, deep learning, NLP (Natural Language Processing), or data science, your problem-solving skills and system design expertise are certain to be put to the test. AI‑related job interviews typically involve a range of coding challenges, algorithmic puzzles, and system design questions. You’ll often be asked to delve into the principles of machine learning pipelines, discuss how to optimise large-scale systems, and demonstrate your coding proficiency in languages like Python, C++, or Java. Adequate preparation not only boosts your confidence but also reduces the likelihood of fumbling through unfamiliar territory. If you’re actively seeking positions at major tech companies or innovative AI start-ups, then check out www.artificialintelligencejobs.co.uk for some of the latest vacancies in the UK. Meanwhile, this blog post will guide you through 30 real coding & system-design questions you’re likely to encounter during your AI job interview. This list is designed to help you practise, anticipate typical question patterns, and stay ahead of the competition. By reading through each question and thinking about the possible approaches, you’ll sharpen your problem-solving skills, time management, and critical thinking. Each question covers fundamental concepts that employers regularly test, ensuring you’re well-equipped for success. Let’s dive right in.

Negotiating Your AI Job Offer: Equity, Bonuses & Perks Explained

Artificial intelligence (AI) has proven itself to be one of the most transformative forces in today’s business world. From smart chatbots in customer service to predictive analytics in finance, AI technologies are reshaping how organisations operate and innovate. As the demand for AI professionals grows, so does the complexity of compensation packages. If you’re a mid‑senior AI professional, you’ve likely seen job offers that include far more than just a base salary—think equity, bonuses, and a range of perks designed to entice you into joining or staying with a company. For many, the focus remains squarely on salary. While that’s understandable—after all, your monthly take‑home pay is what covers day-to-day expenses—limiting your negotiations to salary alone can leave considerable value on the table. From stock options in ambitious startups to sign‑on bonuses that ‘buy you out’ of your current contract, modern AI job offers often include elements that can significantly boost your long-term wealth and job satisfaction. This article aims to shed light on the full scope of AI compensation—specifically focusing on how equity, bonuses, and perks can enhance (or sometimes detract from) the overall value of your package. We’ll delve into how these elements work in practice, what to watch out for, and how to navigate the negotiation process effectively. Our goal is to provide mid‑senior AI professionals with the insights and tools to land a holistic compensation deal that accurately reflects their technical expertise, leadership potential, and strategic importance in this fast-moving field. Whether you’re eyeing a leadership role in machine learning at an established tech giant, or you’re considering a pioneering position at a disruptive AI startup, the knowledge in this guide will help you weigh the merits of base salary alongside the potential riches—and risks—of equity, bonuses, and other benefits. By the end, you’ll have a clearer sense of how to align your compensation with both your immediate lifestyle needs and long-term career aspirations.