Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

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

Windsor
6 months ago
Applications closed

Related Jobs

View all jobs

Power Platform Data Engineer — Drive Public Sector Innovation

Fabric Data Engineer

Fabric Data Engineer

Fabric Data Engineer

Data Scientist - Platform Developer Experience

Data Scientist / Model Developer - Commercial Lending

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.

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

Industry Insights

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

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.