Hardware Designer

Uneek Global
1 month ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer

Staff Graphics Engineer – OEM Engagements

Robotics Software Engineer

Head of Hardware

SSSTS Data Engineer Supervisor

Systems Engineer

This range is provided by Uneek Global. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from Uneek Global

Smart Technology. Data. AI. Machine Learning. IoT. Connectivity - Diversity in STEM.

Hardware Designer – HealthTech Startup (Derbyshire)

Are you an experienced hardware designer with a passion for improving healthcare through innovative technology? Join our excitingHealthTech start-up customerinDerbyshireand play a key role in developing cutting-edge solutions that make a real difference to healthcare systems.

Position:Hardware Designer

Salary:£60,000+ Benefits Package

Company:HealthTech Start-up Focused on Revolutionizing Healthcare

About the Role:

As aHardware Designer, you will be responsible for designing and developing the physical components of our customer's innovative electronic systems and devices. Working closely with electrical engineers, product developers, and other specialists, you'll create efficient and functional hardware products aimed at improving healthcare technology.

Key Responsibilities:

  • Develop detailedschematicsand circuit diagrams for hardware components, including sensors, processors, and electronic parts.
  • Select the most appropriate components, such as microcontrollers, sensors, and connectors, based on project requirements.
  • Buildprototypesto test and validate design concepts, using tools like breadboarding or simulation software.
  • Ensure hardware components are compatible and integrate seamlessly within the overall system, working closely with software engineers.
  • Design systems withedge processingcapabilities, enabling real-time data processing locally.
  • Testprototypesto ensure they meet specifications, performance standards, and efficiency goals.
  • Continuously improve the design based on feedback from testing and collaboration with other team members.
  • Create detailedtechnical documentation, including wiring diagrams, installation instructions, and specs for future development and deployment.
  • Preparemanufacturing documentation, including assembly instructions, component lists (BOM), and quality control procedures.
  • Work closely withmanufacturersto ensure that the designs can be produced at scale, aligning materials, processes, and production lines.
  • Oversee thepackagingprocess to ensure products are ready for transport and installation at customer sites.
  • Assist withfield testingand installation to ensure the hardware functions properly in real-world environments.
  • Address and resolvehardware issuesthat arise during deployment or in the field.

About You:

  • Educational Background:A degree in Electrical Engineering, Electronics, or a related field is desirable.
  • Technical Skills:
  • Proficiency inCAD tools(e.g., Altium, Eagle, KiCad),PCB design, andsimulation software.
  • Experience with embedded systems and microelectronics.
  • Knowledge ofedge processingand connectivity features.
  • Problem-Solving Skills:Ability to troubleshoot hardware issues, optimize designs for performance, and think creatively to meet user needs.
  • Communication Skills:Strong ability to collaborate with engineers, product teams, and manufacturers and document and explain designs effectively.

Uneekis an inclusive organisation, and we welcome applications from individuals of all backgrounds and experiences. We do not discriminate based on age or other personal characteristics.

Seniority level

  • Mid-Senior level

Employment type

  • Full-time

Job function

  • Industries: Computer Hardware Manufacturing, Appliances, Electrical, and Electronics Manufacturing, and Computers and Electronics Manufacturing

#J-18808-Ljbffr

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.

Jobs

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.

Jobs

Machine Learning Jobs in the Public Sector: Opportunities Across GDS, NHS, MOD, and More

Machine learning (ML) has rapidly moved from academic research labs to the heart of industrial and governmental operations. Its ability to uncover patterns, predict outcomes, and automate complex tasks has revolutionised industries ranging from finance to retail. Now, the public sector—encompassing government departments, healthcare systems, and defence agencies—has become an increasingly fertile ground for machine learning jobs. Why? Because government bodies oversee vast datasets, manage critical services for millions of citizens, and must operate efficiently under tight resource constraints. From using ML algorithms to improve patient outcomes in the NHS, to enhancing cybersecurity within the Ministry of Defence (MOD), there’s a growing demand for skilled ML professionals in UK public sector roles. If you’re passionate about harnessing data-driven insights to solve large-scale problems and contribute to societal well-being, machine learning jobs in the public sector offer an unparalleled blend of challenge and impact. In this article, we’ll explore the key reasons behind the public sector’s investment in ML, highlight the leading organisations, outline common job roles, and provide practical guidance on securing a machine learning position that helps shape the future of government services.

Jobs

Contract vs Permanent Machine Learning Jobs: Which Pays Better in 2025?

Machine learning (ML) has swiftly become one of the most transformative forces in the UK technology landscape. From conversational AI and autonomous vehicles to fraud detection and personalised recommendations, ML algorithms are reshaping how organisations operate and how consumers experience products and services. In response, job opportunities in machine learning—including roles in data science, MLOps, natural language processing (NLP), computer vision, and more—have risen dramatically. Yet, as the demand for ML expertise booms, professionals face a pivotal choice about how they want to work. Some choose day‑rate contracting, leveraging short-term projects for potentially higher immediate pay. Others embrace fixed-term contract (FTC) roles for mid-range stability, or permanent positions for comprehensive benefits and a well-defined career path. In this article, we will explore these different employment models, highlighting the pros and cons of each, offering sample take‑home pay scenarios, and providing insights into which path might pay better in 2025. Whether you’re a new graduate with a machine learning degree or an experienced practitioner pivoting into an ML-heavy role, understanding these options is key to making informed career decisions.

🍪 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.