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

CV-Library

Windsor, Berkshire

11 months ago

Applications closed

Related Jobs

View all jobs

Data Scientist

Randstad Technologies Recruitment London, United Kingdom

AI Evangelist - Fast growing retail organisation

SF Partners Birmingham, West Midlands (county), United Kingdom

£90,000 – £120,000 pa

Senior Enterprise Architect - ServiceNow US available

TJX Europe Watford, Hertfordshire, United Kingdom

Remote

Data Lead (Fabric)

Hays Technology London, United Kingdom

£450 – £500 pd

Senior Data Architect

Altro Norton, Hertfordshire, SG6 1AG, United Kingdom

Associate (National Security)

Faculty London, United Kingdom

Hybrid

Posted: 22 May 2025 (11 months ago)

Save job

Create job alert

Applications closed

Contract Opportunity: Innovation Developer

Location: Remote

Contract Type: 6-Month Contract (Inside IR35)

Day Rate: £800 per day

We are currently seeking an experienced and forward-thinking Innovation Developer to join a highly collaborative innovation team focused on driving technological advancement within the energy sector. This role offers a unique opportunity to contribute to the design and development of AI-powered solutions that support the organisation's strategic commitment to sustainable energy.

Key Responsibilities

Proof-of-Concept (POC) Development & Prototyping:

Design and develop scalable, robust prototypes and proof-of-concept solutions that demonstrate new ideas, integrating AI components with both front-end and back-end systems.

Artificial Intelligence & Machine Learning: Build and deploy AI/ML models and algorithms to extract insights from energy-related data, enhance operational efficiency, and optimise customer-facing systems.

Full-Stack Development: Deliver end-to-end software solutions, encompassing user interfaces, API layers, and server-side infrastructure, ensuring seamless functionality across the technology stack.

Technical Innovation: Utilise advanced technologies, including large language models, computer vision, predictive analytics, and data science, to address complex challenges and contribute to industry-leading digital innovation.

Agile Development Methodology: Apply agile principles to iterate quickly, incorporate feedback, and maintain high standards of code quality throughout the development lifecycle.

Cloud and DevOps Practices: Deploy and manage applications in AWS or Azure environments, implementing CI/CD pipelines and containerisation to streamline development and deployment processes.

User Interface Design and AI Interaction: Contribute to the design of intuitive and effective user experiences, with a particular focus on AI interaction patterns and clear data visualisation.

Stakeholder Engagement: Collaborate with internal and external stakeholders to validate requirements, communicate technical capabilities, and ensure that innovations meet user and business needs.

Candidate Requirements

The ideal candidate will possess:

Demonstrable experience in AI/ML model development and deployment

Strong background in full-stack software development

Experience working with cloud platforms (AWS or Azure) and DevOps tools

Proven ability to develop prototypes and POCs

Excellent communication skills, with the ability to engage technical and non-technical stakeholders

A strong interest in sustainability and technology-driven innovation

How to Apply:

If you are passionate about driving innovation and are eager to contribute to exciting projects, we want to hear from you! Please send your resume and a cover letter outlining your relevant experience and why you are interested in joining.

Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you

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

Industry Insights

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

Apr 9, 2026

Products

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Advertising data science jobs in the UK requires a different approach to most technical hiring. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science 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.

Mar 24, 2026

Jobs

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

Feb 10, 2026

Careers

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

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.