Senior Project Engineer

Whitley, Coventry
6 days ago
Create job alert

Job Title: Project Engineer – Snr Engineer

Location: Whitley, Coventry

Rate: £33.88ph via an Umbrella Company (Inside IR35) or £25.26ph PAYE

Employment Type: Contract (Currently financed until March 2026)

Hours: Standard 40 Hours Per Week

Our client has recently restructured the Propulsion CAE team in particular the Virtual Build Factory team. The area is currently inventing and developing its processes to improve speed & quality. The successful candidate will be required to detect opportunities and develop the code to automate its process to unleash the efficiency required from the team.

The role is multidisciplinary as it involves working on-cycle and off-cycle programmes primarily developing the code but working closely with Development engineers, analysts and model builders.

The individual will be responsible for the following:

  • The collection and compilation of the Non Geometric Data by working with a multitude of internal customers

  • The collection and compilation of the Geometric Data operating the inhouse CAD Software to help the team build the virtual models.

  • Understand the Virtual Factory floors in order to find opportunities to automate the current processes as well as build the required KPIs

  • Determine the automation and optimisation requirements, develop code, metrics and targets.

  • Code/program to convert the manual effort into automation

  • Develop programming code to automate all manual processes to reduce time and improve quality.

  • Support methods reviews as appropriate contributing ideas.

  • Develop and deliver new process training material.

  • Undertake any other work as directed by their line manager in connection with their job as may be requested.

  • Creation of user guides and manuals to the train CAE team members.

    Skills: ESSENTIAL:

  • Proficiency in programming language Python, VB, Java, Simulink, Matlab etc

  • Good understanding of CAD software 3DX CATIA MS Excel

  • Ability to adapt / understand new technology areas Communication skills

    DESIRABLE:

  • Understanding of propulsion systems

  • Understanding of materials and material properties

  • Awareness of EDU, Batteries, HV charging system, Electrical, Mechanical Machine learning AI etc

    INSIDE IR35

    ---------------------------------

    Do not miss out on your chance of interview – APPLY NOW!

    Our Clients are unable to provide sponsorship for Tier 2 General Visas; therefore, only candidates eligible to work in the UK need apply!

    Caresoft Global Limited operates as an Employment Business and Employment Agency.
    We are an independent highly-experienced recruitment consultancy dedicated to specialist markets within the Automotive, Aerospace, Agricultural & Construction Industries.

    No terminology within this advert is intended to unlawfully discriminate on the grounds of age, sex, race or disability and we welcome all applications

Related Jobs

View all jobs

Senior Data Analyst (Project Controls)

Senior Teradata Engineer

Senior Software Engineer (GO/PHP)

Senior Data Engineer - MS Fabric - Remote - £70k - £75k

Senior Data Engineer - Snowflake & Matillion

Senior Data Engineering Consultant

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 Machine Learning Jobs (With Real GitHub Examples)

In today’s data-driven landscape, the field of machine learning (ML) is one of the most sought-after career paths. From startups to multinational enterprises, organisations are on the lookout for professionals who can develop and deploy ML models that drive impactful decisions. Whether you’re an aspiring data scientist, a seasoned researcher, or a machine learning engineer, one element can truly make your CV shine: a compelling portfolio. While your CV and cover letter detail your educational background and professional experiences, a portfolio reveals your practical know-how. The code you share, the projects you build, and your problem-solving process all help prospective employers ascertain if you’re the right fit for their team. But what kinds of portfolio projects stand out, and how can you showcase them effectively? This article provides the answers. We’ll look at: Why a machine learning portfolio is critical for impressing recruiters. How to select appropriate ML projects for your target roles. Inspirational GitHub examples that exemplify strong project structure and presentation. Tangible project ideas you can start immediately, from predictive modelling to computer vision. Best practices for showcasing your work on GitHub, personal websites, and beyond. Finally, we’ll share how you can leverage these projects to unlock opportunities—plus a handy link to upload your CV on Machine Learning Jobs when you’re ready to apply. Get ready to build a portfolio that underscores your skill set and positions you for the ML role you’ve been dreaming of!

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

Machine learning is fuelling innovation across every industry, from healthcare to retail to financial services. As organisations look to harness large datasets and predictive algorithms to gain competitive advantages, the demand for skilled ML professionals continues to soar. Whether you’re aiming for a machine learning engineer role or a research scientist position, strong interview performance can open doors to dynamic projects and fulfilling careers. However, machine learning interviews differ from standard software engineering ones. Beyond coding proficiency, you’ll be tested on algorithms, mathematics, data manipulation, and applied problem-solving skills. Employers also expect you to discuss how to deploy models in production and maintain them effectively—touching on MLOps or advanced system design for scaling model inferences. In this guide, we’ve compiled 30 real coding & system‑design questions you might face in a machine learning job interview. From linear regression to distributed training strategies, these questions aim to test your depth of knowledge and practical know‑how. And if you’re ready to find your next ML opportunity in the UK, head to www.machinelearningjobs.co.uk—a prime location for the latest machine learning vacancies. Let’s dive in and gear up for success in your forthcoming interviews.

Negotiating Your Machine Learning Job Offer: Equity, Bonuses & Perks Explained

How to Secure a Compensation Package That Matches Your Technical Mastery and Strategic Influence in the UK’s ML Landscape Machine learning (ML) has rapidly shifted from an emerging discipline to a mission-critical function in modern enterprises. From optimising e-commerce recommendations to powering autonomous vehicles and driving innovation in healthcare, ML experts hold the keys to transformative outcomes. As a mid‑senior professional in this field, you’re not only crafting sophisticated algorithms; you’re often guiding strategic decisions about data pipelines, model deployment, and product direction. With such a powerful impact on business results, companies across the UK are going beyond standard salary structures to attract top ML talent. Negotiating a compensation package that truly reflects your value means looking beyond the numbers on your monthly payslip. In addition to a competitive base salary, you could be securing equity, performance-based bonuses, and perks that support your ongoing research, development, and growth. However, many mid‑senior ML professionals leave these additional benefits on the table—either because they’re unsure how to negotiate them or they simply underestimate their long-term worth. This guide explores every critical aspect of negotiating a machine learning job offer. Whether you’re joining an AI-focused start-up or a major tech player expanding its ML capabilities, understanding equity structures, bonus schemes, and strategic perks will help you lock in a package that matches your technical expertise and strategic influence. Let’s dive in.