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

Nominate & Attend

Innovation Developer

Windsor
2 weeks ago
Create job alert

Innovation Developer** (Contract)

Duration: 6 Months (Possibility for Extension)

Location: Hybrid/Windsor (Role can be fulfilled primarily remotely)

Rate: A highly competitive Umbrella Day rate is available for suitable candidates

Role Profile

The Innovation Developer is a dynamic force within Centrica's Innovation Team, responsible for transforming visionary ideas into tangible prototypes and proof of concepts (POCs) that leverage cutting-edge AI and full-stack technologies. This role is at the heart of our technical execution, combining deep expertise in modern software development, AI engineering, and cloud architecture with a passion for pioneering technologies in the energy sector.

This role demands a pragmatic and results-driven approach to bridge the gap between theoretical innovation and practical application, delivering reliable, testable products that align with Centrica's strategic initiatives in renewable energy and smart technology solutions

Role Responsibilities:

POC Development & Prototyping: Construct robust, scalable prototypes and POCs that effectively demonstrate the value and functionality of new ideas, integrating AI components with front-end and back-end systems to ensure they align with our strategic direction towards sustainable energy solutions.
AI & Machine Learning Implementation: Design, build and deploy AI/ML models and algorithms to extract insights from energy data, optimize systems, and create intelligent features that enhance customer experience and operational efficiency.
Full-Stack Development: Architect and develop end-to-end solutions spanning front-end interfaces, API layers, and back-end systems, ensuring seamless integration between components and optimal performance across the technology stack.
Technical Innovation: Leverage cutting-edge technologies, such as large language models, computer vision, predictive analytics, machine learning and data science, to solve complex problems and contribute to Centrica's position at the forefront of the energy industry.
Cross-functional Collaboration: Work closely with Innovation Designers and other team members to align technical development with design concepts and business objectives, translating complex AI capabilities into user-friendly experiences.
Agile Methodology: Employ agile development practices to rapidly produce high-quality code and facilitate iterative feedback, ensuring continuous improvement and adaptability across both traditional and AI-powered features.
Cloud and DevOps Implementation: Deploy and manage applications in cloud environments (AWS/Azure), implement CI/CD pipelines, and utilize containerization technologies to enhance collaboration, streamline development, and ensure efficient deployment of innovations.
Design Skills Application: Apply basic design skills to contribute to user interface and experience aspects of the prototype, with particular focus on designing effective AI interactions and data visualizations, aiding in the creation of intuitive and user-centric products.
Stakeholder Interaction: Collaborate with internal and external stakeholders to refine requirements, gather feedback, and validate the technical aspects of new innovations, effectively communicating the capabilities and limitations of AI-powered solutions.

Skills & Experience:

Candidate must have extensive experience as a full-stack developer, proficient in multiple languages and technologies, with a strong emphasis on AI engineering, while having less focus on robotics.
Hands-on experience with advanced technologies like large language models (LLMs), computer vision, predictive analytics, and data science.
Candidate should be an idea or concept developer with a strong background in innovation, particularly in POC development and research, rather than a product manager.
Background in startups or small businesses, someone who can navigate both innovative, agile environments and complex organizational structures, effectively collaborating with multiple stakeholders.
Useful to have experience with cloud technologies.
Nice to have mobile development experience.

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

If you feel you have the skills and experience and want to hear more about this role 'apply now' to declare your interest in this opportunity with our client. Your application will be observed by our dedicated team.

We will respond to all successful applicants ASAP however, please be advised that we will always look to contact you further from this time should we need further applicants or if other opportunities arise relevant to your skillset.

Pontoon 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.

As part of our standard hiring process to manage risk, please note background screening checks will be conducted on all hires before commencing employment

Related Jobs

View all jobs

Innovation Developer

Innovation Developer £700/d Berkshire Hybrid/Remote Inside IR35

Innovation Developer - Remote - 6 Months (Inside) - £800 pd

Software Developer

Senior Solution Architect (Enterprise Systems)

Microsoft AI Copilot Lead

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.

Top 10 Mistakes Candidates Make When Applying for AI Jobs—And How to Avoid Them

Avoid the biggest pitfalls when applying for artificial intelligence jobs. Discover the top 10 mistakes AI candidates make—plus expert tips and internal resources to land your dream role. Introduction The market for AI jobs in the UK is booming. From computer-vision start-ups in Cambridge to global fintechs in London searching for machine-learning engineers, demand for artificial-intelligence talent shows no sign of slowing. But while vacancies grow, so does the competition. Recruiters tell us they reject up to 75 per cent of applications before shortlisting—often for mistakes that could have been fixed in minutes. To help you stand out, we’ve analysed thousands of recent applications posted on ArtificialIntelligenceJobs.co.uk, spoken with in-house talent teams and independent recruiters, and distilled their feedback into a definitive “top mistakes” list. Below you’ll find the ten most common errors, along with actionable fixes, keyword-rich guidance and handy internal links to deeper resources on our site. Bookmark this page before you hit “Apply”—it could be the difference between the “reject” pile and a career-defining interview.

Top 10 Best UK Universities for AI Degrees (2025 Guide)

Discover the ten best UK universities for Artificial Intelligence degrees in 2025. Compare entry requirements, course content, research strength and industry links to choose the right AI programme for you. Artificial Intelligence continues to transform industries—from healthcare to finance to transportation. The UK leads the way in AI research and education, with several universities consistently ranked among the world’s best for Computer Science. Below, we spotlight ten UK institutions offering strong AI-focused programmes at undergraduate or postgraduate level. While league tables shift year to year, these universities have a track record of excellence in teaching, research, and industry collaboration.