Senior Design & Development Engineer (Hardware)

RedTech Recruitment
Saffron Walden
3 months ago
Applications closed

Related Jobs

View all jobs

Senior Mechanical Design Engineer

Software Development Engineer, S3

Senior Electronic Design Engineer

Senior Electrical Design Engineer - Hybrid Working

Senior Technical Architect [Urgent Search]

Senior Software Engineer Technical Lead

Senior Design & Development Engineer (Hardware)An exciting opportunity for an experienced Hardware Design Engineer to join an innovative stealth start-up in Saffron Walden to work on exciting product development from prototype to production. This company are tackling some of the worlds most pressing challenges. Joining a company founded by experts in their field, who have already realised success with other start-ups, this offers the chance to work in an environment filled with technological innovation whilst working on cutting-edge tech.Location: Saffron Walden, UK - fully on-site due to the nature of the roleSalary: Market competitiveRequirements for Senior Design & Development Engineer (Hardware)Highly experienced in Product Development from prototype to ProductionProficiency in CAD Software1st class honours or high 2.1 degree from a top university in Engineering, Maths, Physics, Electronics or similar.Strong problem-solving abilityAny exposure to RF, SDRs, or machine learning would be beneficialYou must be in a position to qualify for SC Clearance due to the nature of some customersResponsibilities for Senior Design & Development Engineer (Hardware)Work closely with diverse teams to conceptualise, design, and develop innovative products.Create and refine detailed designs using CAD tools to enhance prototypes.Engage in hands-on prototype construction and testing, making iterative improvements based on results.Tackle complex engineering problems with creative and practical solutions.Enhance product performance, reliability, and overall design quality.What this offers:An opportunity to join a success story in the makingExperience working on entire lifecycleGreat remunerationApplications:If you would like to enquire about this unique Hardware Design Engineer opportunity, we would love to hear from you. Please send an up-to-date CV including details of your online repository via the relevant link.Were committed to creating an inclusive and accessible recruitment process. If you require reasonable adjustments for your application or during the review process, please highlight this by separately emailing (if this email address has been removed by the job-board, full contact details are readily available on our website).***********************************************************************************************RedTech Recruitment Ltd focuses on finding roles for Engineers and Scientists leaving academia entering industry. Even if the above role isnt of interest, please visit our website to see our other opportunities.We are an equal opportunity employer and value diversity at RedTech. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.Keywords Senior Product Design Engineer / Lead Innovation Engineer / Product Development Specialist / Senior R&D Engineer / Prototyping and Design Lead / Product Engineering Manager / Senior Prototype Development Engineer / Design and Innovation Specialist / Senior Concept-to-Production Engineer / Lead Product Development Designer Start-up / Hardware EngineerTPBN1_UKTJ

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.

Careers

Tips for Staying Inspired: How Machine Learning Pros Fuel Creativity and Innovation

Machine learning (ML) continues to reshape industries—from personalised e-commerce recommendations and autonomous vehicles to advanced healthcare diagnostics and predictive maintenance in manufacturing. Yet behind every revolutionary model lies a challenging and sometimes repetitive process: data cleaning, hyperparameter tuning, infrastructure management, stakeholder communications, and constant performance monitoring. It’s no wonder many ML professionals can experience creative fatigue or get stuck in the daily grind. So, how do machine learning experts keep their spark alive and continually generate fresh ideas? Below, you’ll find ten actionable strategies that successful ML engineers, data scientists, and research scientists use to stay innovative and push boundaries. Whether you’re an experienced practitioner or just breaking into the field, these tips can help you fuel creativity and discover new angles for solving complex problems.

Careers

Top 10 Machine Learning Career Myths Debunked: Key Facts for Aspiring Professionals

Machine learning (ML) has become one of the hottest fields in technology—touching everything from recommendation engines and self-driving cars to language translation and healthcare diagnostics. The immense potential of ML, combined with attractive compensation packages and high-profile success stories, has spurred countless professionals and students to explore this career path. Yet, despite the boom in demand and innovation, machine learning is not exempt from myths and misconceptions. At MachineLearningJobs.co.uk, we’ve had front-row seats to the real-life career journeys and hiring needs in this field. We see, time and again, that outdated assumptions—like needing a PhD from a top university or that ML is purely about deep neural networks—can mislead new entrants and even deter seasoned professionals from making a successful transition. If you’re curious about a career in machine learning or looking to take your existing ML expertise to the next level, this article is for you. Below, we debunk 10 of the most persistent myths about machine learning careers and offer a clear-eyed view of the essential skills, opportunities, and realistic paths forward. By the end, you’ll be better equipped to make informed decisions about your future in this dynamic and rewarding domain.

Careers

Global vs. Local: Comparing the UK Machine Learning Job Market to International Landscapes

How to evaluate opportunities, salaries, and work culture in machine learning across the UK, the US, Europe, and Asia Machine learning (ML) has rapidly transcended the research labs of academia to become a foundational pillar of modern technology. From recommendation engines and autonomous vehicles to fraud detection and personalised healthcare, machine learning techniques are increasingly ubiquitous, transforming how organisations operate. This surge in applications has fuelled an extraordinary global demand for ML professionals—data scientists, ML engineers, research scientists, and more. In this article, we’ll examine how the UK machine learning job market compares to prominent international hubs, including the United States, Europe, and Asia. We’ll explore hiring trends, salary ranges, workplace cultures, and the nuances of remote and overseas roles. Whether you’re a fresh graduate aiming to break into the field, a software engineer with an ML specialisation, or a seasoned professional seeking your next challenge, understanding the global ML landscape is essential for making an informed career move. By the end of this overview, you’ll be equipped with insights into which regions offer the best blend of salaries, work-life balance, and cutting-edge projects—plus practical tips on how to succeed in a domain that’s constantly evolving. Let’s dive in.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.