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

Nominate & Attend

Innovation Developer

Windsor
4 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

Embedded Software Engineer

Computer Science Teacher

Computing Teacher

Computer Science Teacher

Computer Science Teacher

Computer Science Teacher

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.

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

Stepping back into the professional world after a career break can be daunting—especially in an emerging field like edge computing. Whether you paused your journey for parenting, caring responsibilities or another life chapter, the UK’s edge computing sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the value of your transferable skills and life experience. With dedicated mentorship, targeted upskilling and supportive networks, you can confidently relaunch your edge computing career. In this guide, you’ll learn how to: Appreciate the growing demand for edge computing talent in the UK Translate your organisational, communication and problem-solving skills into edge roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to edge computing Find roles that accommodate family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to edge Draw inspiration from real returner success stories Get answers to common questions in our FAQ section Whether you’re aiming to return as an edge software engineer, IoT architect or systems integrator, this article will map out the steps and resources you need to reignite your edge computing career.

LinkedIn Profile Checklist for Edge Computing Jobs: 10 Tweaks to Boost Recruiter Engagement

Edge computing is transforming industries—from IoT-driven manufacturing to real-time analytics on remote devices. Recruiters are actively seeking professionals skilled in distributed architectures, low-latency processing, and embedded systems. With candidate supply still maturing, a well-optimised LinkedIn profile can dramatically increase your visibility. This step-by-step LinkedIn for edge computing jobs checklist provides ten targeted tweaks to boost recruiter engagement. Whether you’re an embedded systems engineer, an IoT solutions architect or a real-time data analyst, these actionable optimisations will ensure your profile stands out in both search results and recruiter inboxes.

Part-Time Study Routes That Lead to Edge Computing Jobs: Evening Courses, Bootcamps & Online Masters

Edge computing—bringing computation and data storage closer to the sources of data—enables ultra-low latency applications, real‑time analytics and bandwidth optimisation. As industries from manufacturing and autonomous vehicles to healthcare and smart cities adopt edge architectures, demand for skilled edge computing professionals (engineers, architects, developers and analysts) is surging. Yet many prospective learners cannot pause their careers to study full time. Thankfully, an ecosystem of part‑time learning pathways—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn edge computing while working. This comprehensive guide explores every route: foundational CPD units and short courses, hands-on bootcamps, accredited online MScs, funding options, planning strategies and a real-world case study. Whether you’re a network engineer, IoT developer or cloud specialist pivoting to edge computing, you’ll find a pathway to build in‑demand expertise without interrupting your professional or personal life.