National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

IoT Developer (The Connected Systems Innovator)

Unreal Gigs
London
6 months ago
Applications closed

Related Jobs

View all jobs

Junior Machine Learning Developer

Full Stack Developer - Python/Django/PHP/Computer Vision

Full Stack Developer - Python/Django/PHP/Computer Vision

Junior Machine Learning Developer

Junior Machine Learning Developer

Full Stack Developer - Python/Django/PHP/Computer Vision

Are you passionate about creating innovative, connected solutions that bridge the physical and digital worlds? Do you thrive on developing Internet of Things (IoT) applications that improve efficiency, transform industries, and enhance everyday life? If you're excited about designing intelligent systems that integrate sensors, devices, and data for smart environments, thenour clienthas an amazing opportunity for you. We’re looking for anIoT Developer(aka The Connected Systems Innovator) to lead the development of cutting-edge IoT solutions that bring automation, monitoring, and intelligence to homes, cities, and industries.

As an IoT Developer atour client, you’ll collaborate with hardware engineers, data scientists, and software developers to design and deploy end-to-end IoT systems. You’ll work on everything from edge computing and embedded systems to cloud integration, making connected devices smarter, more secure, and more efficient.

Key Responsibilities:

  1. Design and Develop IoT Solutions:
  • Architect and implement end-to-end IoT systems that connect devices, sensors, and networks to collect and analyze data. You’ll develop applications that enable communication between hardware devices and cloud platforms using protocols like MQTT, CoAP, or HTTP.
Integrate Devices and Sensors:
  • Work with a variety of sensors, microcontrollers, and embedded systems to integrate hardware with IoT platforms. You’ll ensure smooth data capture and transfer, implementing secure communication between devices and centralized systems.
Edge Computing and Data Processing:
  • Implement edge computing solutions to process data at the device level, reducing latency and bandwidth requirements. You’ll develop algorithms and systems that enable real-time decision-making at the edge before sending data to the cloud for further analysis.
Cloud Integration and API Development:
  • Integrate IoT devices with cloud platforms (AWS IoT, Google Cloud IoT, Azure IoT Hub) to enable centralized control, monitoring, and data analysis. You’ll design APIs and microservices that facilitate communication between IoT devices and cloud infrastructure.
Ensure Security and Scalability:
  • Implement robust security measures to protect IoT devices and networks from vulnerabilities. You’ll work on encryption, authentication, and access control strategies to ensure that data and devices remain secure across large-scale deployments.
Collaborate on Smart City and Industrial IoT Projects:
  • Work on smart city solutions, industrial automation, and home automation systems. You’ll design IoT applications for diverse industries, including healthcare, agriculture, manufacturing, and smart buildings.
Monitor and Optimize IoT Systems:
  • Develop monitoring tools and dashboards to track the performance of IoT devices and networks. You’ll optimize system performance and reliability, troubleshooting issues and ensuring devices remain operational in dynamic environments.

Requirements

Required Skills:

  • IoT Development Expertise:Strong experience in designing and developing IoT systems, including device-to-cloud communication, edge computing, and embedded systems. You’re skilled at working with IoT protocols like MQTT, CoAP, and HTTP.
  • Embedded Systems and Hardware Integration:Proficiency in working with microcontrollers (e.g., Arduino, Raspberry Pi, ESP32) and sensors. You can write firmware, integrate hardware with software, and troubleshoot hardware-software interfaces.
  • Cloud Platforms and API Development:Experience with cloud IoT platforms like AWS IoT, Azure IoT Hub, or Google Cloud IoT. You know how to design APIs, microservices, and databases that enable seamless communication between devices and cloud systems.
  • Edge Computing and Data Processing:Expertise in implementing edge computing solutions, including real-time data processing at the device level. You’re familiar with data analytics and machine learning at the edge for intelligent IoT systems.
  • Security and Scalability:Knowledge of security best practices for IoT devices, including encryption, secure boot, and device authentication. You can build scalable, secure IoT networks that handle large volumes of data and devices.

Educational Requirements:

  • Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Embedded Systems, or a related field.Equivalent experience in IoT development is highly valued.
  • Certifications or additional coursework in IoT, cloud computing, or embedded systems are a plus.

Experience Requirements:

  • 3+ years of experience in IoT development,with hands-on experience designing connected systems for smart homes, cities, or industrial environments.
  • Proven experience working with IoT hardware, developing embedded software, and integrating IoT systems with cloud platforms.
  • Experience with cloud computing services and IoT platforms (AWS, Azure, Google Cloud) is highly desirable.

Benefits

  • Health and Wellness: Comprehensive medical, dental, and vision insurance plans with low co-pays and premiums.
  • Paid Time Off: Competitive vacation, sick leave, and 20 paid holidays per year.
  • Work-Life Balance: Flexible work schedules and telecommuting options.
  • Professional Development: Opportunities for training, certification reimbursement, and career advancement programs.
  • Wellness Programs: Access to wellness programs, including gym memberships, health screenings, and mental health resources.
  • Life and Disability Insurance: Life insurance and short-term/long-term disability coverage.
  • Employee Assistance Program (EAP): Confidential counseling and support services for personal and professional challenges.
  • Tuition Reimbursement: Financial assistance for continuing education and professional development.
  • Community Engagement: Opportunities to participate in community service and volunteer activities.
  • Recognition Programs: Employee recognition programs to celebrate achievements and milestones.
National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Present AI Models to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

In today’s competitive job market, AI professionals are expected to do more than just build brilliant algorithms—they must also explain them clearly to stakeholders who may have no technical background. Whether you're applying for a role as a machine learning engineer, data scientist, or AI consultant, your ability to articulate complex models in simple terms is fast becoming one of the most valued soft skills in interviews and on the job. This guide will help you master the art of public speaking for AI roles, offering tips on structuring presentations, designing effective slides, and using storytelling to make your work resonate with any audience.

AI Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide – we refresh it every quarter so you always know who’s really scaling their artificial‑intelligence teams. Artificial intelligence hiring has roared back in 2025. The UK’s boosted National AI Strategy funding, record‑breaking private investment (£18.1 billion so far) & a fresh wave of generative‑AI product launches mean employers are jockeying for data scientists, ML engineers, MLOps specialists, AI product managers, prompt engineers & applied researchers. Below are 50 organisations that have advertised UK‑based AI vacancies in the past eight weeks or formally announced growth plans. They’re grouped into five easy‑scan categories so you can jump straight to the kind of employer – & culture – that suits you. For each company you’ll find: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, culture, mission) Use the internal links to browse current vacancies on ArtificialIntelligenceJobs.co.uk – or set up a free job alert so fresh roles land in your inbox.

Return-to-Work Pathways: Relaunch Your AI Career with Returnships, Flexible & Hybrid Roles

Stepping back into the workplace after a career break can feel like embarking on a whole new journey—especially in a cutting-edge field such as artificial intelligence (AI). For parents and carers, the challenge isn’t just refreshing your technical know-how but also securing a role that respects your family commitments. Fortunately, the UK’s tech sector now boasts a wealth of return-to-work programmes—from formal returnships to flexible and hybrid opportunities. These pathways are designed to bridge the gap, equipping you with refreshed skills, confidence and a supportive network. In this comprehensive guide, you’ll discover how to: Understand the booming demand for AI talent in the UK Leverage transferable skills honed during your break Overcome common re-entry challenges Build your AI skillset with targeted training Tap into returnship and re-entry programmes Find flexible, hybrid and full-time AI roles that suit your lifestyle Balance professional growth with caring responsibilities Master applications, interviews and networking Whether you’re returning after maternity leave, eldercare duties or another life chapter, this article will equip you with practical steps, resources and insider tips.