Innovation Developer

Windsor
7 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist / Statistician (Model Developer)

Data Scientist / Statistician (Model Developer)

Data Scientist / Statistician (Model Developer)

IT Solution Architect

Senior Machine Learning Engineer

AI Evangelist - Fast growing retail organisation

Adecco is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive.

Are you ready to be a driving force in the energy sector? Our client is seeking a passionate and talented Innovation Developer to join their dynamic Innovation Team! This is a fantastic opportunity to work in a hybrid environment, primarily remotely, while contributing to groundbreaking projects that shape the future of sustainable energy.

Role: Innovation Developer

Duration: 6 Months

Location: Windsor - Hybrid (1 day a month in office)

Rate: Competitive via Umbrella

Role Overview:

As an Innovation Developer, you will transform visionary ideas into tangible prototypes and proof of concepts (POCs) using cutting-edge AI and full-stack technologies. Your role will be pivotal in bridging the gap between theoretical innovation and practical application, ensuring reliable, testable products that align with strategic initiatives in renewable energy and smart technology solutions.

Key Responsibilities:

POC Development & Prototyping: Craft robust, scalable prototypes and POCs showcasing the value of new ideas, integrating AI with front-end and back-end systems.
AI & Machine Learning Implementation: Design and deploy AI/ML models to extract insights from energy data and enhance customer experience.
Full-Stack Development: Architect end-to-end solutions, ensuring seamless integration and optimal performance across the tech stack.
Technical Innovation: Leverage technologies like large language models, computer vision, and predictive analytics to tackle complex challenges.
Cross-functional Collaboration: Partner with Innovation Designers to align technical development with design concepts and business goals.
Agile Methodology: Employ agile practices for high-quality code production and iterative feedback.
Cloud and DevOps Implementation: Manage applications in cloud environments (AWS/Azure) and enhance deployment efficiency with CI/CD pipelines.
Design Skills Application: Contribute to user interface and experience aspects, focusing on intuitive AI interactions and data visualizations.
Knowledge Sharing: Mentor team members in emerging AI technologies and modern development practices.
Stakeholder Interaction: Collaborate with stakeholders to refine requirements and validate technical aspects of innovations.Skills & Experience:

Extensive experience as a full-stack developer with proficiency in multiple languages and technologies, particularly in AI engineering.
Hands-on experience with advanced technologies such as large language models (LLMs), computer vision, and data science.
Strong background in innovation and POC development, with a focus on idea generation rather than product management.
Experience in startups or small businesses, adept at navigating agile environments and collaborating with diverse stakeholders.
Familiarity with cloud technologies is advantageous; mobile development experience is a plus!

Candidates will ideally show evidence of the above in their CV to be considered.

Please be advised if you haven't heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you accordingly

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.

Where to Advertise Robotics Jobs in the UK (2026 Guide)

Advertising robotics jobs in the UK requires a different approach to most technical hiring. The candidate pool spans mechanical engineers, software developers, controls specialists, computer vision researchers and systems integrators — a multidisciplinary mix that general job boards are poorly equipped to reach. The strongest robotics candidates are often embedded in research groups, defence programmes or advanced manufacturing environments, and move between roles through specialist networks and industry events rather than mainstream platforms. This guide, published by RoboticsJobs.co.uk, covers where to advertise robotics roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

New Robotics Employers to Watch in 2026: UK and Global Companies Transforming Automation Careers

Robotics is moving rapidly from factory floors into healthcare, logistics, agriculture, autonomous systems, and consumer products. As automation becomes embedded in everyday life, companies are investing in robots that operate alongside humans, analyse environments in real time, and learn from data. In 2026, demand for robotics engineers, software developers, system integrators, and AI specialists continues to surge. For professionals exploring opportunities on www.RoboticsJobs.co.uk , understanding the employers that are scaling, winning contracts, securing investment, or expanding into the UK market is crucial. This article highlights top robotics employers to watch in 2026, spanning innovative startups, high‑growth scale‑ups, and established global technology leaders with strong UK presence.

How Many Robotics Tools Do You Need to Know to Get a Robotics Job?

If you’re pursuing a career in robotics, it can feel like the list of tools you should learn never ends. One job advert asks for ROS, another mentions Gazebo, another wants experience with Python, Linux, C++, RobotStudio, MATLAB/Simulink, perception stacks, control frameworks, real-time OS, vision libraries — and that’s just scratching the surface. With so many frameworks, languages and platforms, it’s no wonder robotics job seekers feel overwhelmed. But here’s the honest truth most recruiters won’t say explicitly: 👉 They don’t hire you because you know every tool — they hire you because you can apply the right tools to solve real robotics problems reliably and explain your reasoning clearly. Tools matter — but only in service of outcomes. So the real question isn’t how many tools you should know, but which tools you should master and why. For most robotics roles, the answer is significantly fewer — and far more focused — than you might assume. This article breaks down what employers really expect, which tools are core, which are role-specific, and how to focus your learning so you look capable, confident, and ready to contribute from day one.