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- Tasks: Develop AI-driven software solutions for manufacturing, tackling real operational challenges.
- Company: Dynamic UK consultancy with a decade of experience in transforming manufacturing processes.
- Benefits: Competitive salary, equity opportunities, fully remote work, and minimal admin.
- Other info: Exciting projects with short feedback loops and significant career growth potential.
- Why this job: Join a core team to innovate and make an immediate impact in the manufacturing sector.
- Qualifications: Experience in full-stack development and a passion for practical engineering.
The predicted salary is between 70000 - 80000 £ per year.
Fully Remote (UK) · £70,000–£80,000 + equity opportunity · Outside IR35 · Long-term role
We're a UK consultancy with 10 years of experience building software for manufacturers. We turn fragmented systems, reports and data into AI-ready context that helps businesses make better decisions. We do this through bespoke client work and through ViewOps, the AI platform we're building from a decade of operational know-how.
The role starts as a contract and is intended to convert to permanent, with long-term upside as we grow the team that takes ViewOps to the next level.
If you prefer practical engineering over corporate process, this role will suit you well. We build systems that solve genuine operational problems, and the work has immediate impact across live manufacturing environments.
Fully remote, minimal admin, minimal meetings. You own things end-to-end — talk to the client, design it, build it, ship it.
We're looking for someone who wants to become part of the core team long-term, not just complete a short-term contract and move on.
Our live operational platform, used every day by manufacturing teams running real production environments. The stack includes Laravel + Livewire, SQL Server, Python services, ETL pipelines and Power BI — with real users and real operational impact when things go wrong.
Upcoming work includes a labour management platform replacing Excel-based shift planning, meat reconciliation and yield analysis pipelines, packaging tax reporting, manufacturing reporting tools and a system to manage Bill of Material updates.
Short feedback loops — you build something, the client uses it immediately, and you quickly find out whether it solved the problem.
ViewOps is the AI platform we're building from years of solving real operational problems in manufacturing environments. It sits above the systems businesses already run on — SQL databases, Power BI models, Excel files, PDFs, network folders, and operational software — turning fragmented operational data into structured, trusted intelligence.
If shipping useful things energises you, you'll fit in.
AI-native. You can drop into an unfamiliar codebase or language and be productive fast. You'd rather ship something good this week than something perfect next quarter. You can be on a Teams call with a factory manager, understand their actual problem, and turn it into a system.
Technologies: Laravel · Livewire · Alpine · Tailwind · Python · SQL Server (T-SQL) · PostgreSQL · Power BI / DAX · Docker · GitHub · LLM integrations · RAG · embeddings · Claude Code & Cursor daily
Hours: Full-time
Type: Contract-to-perm. Salary: £70,000–£80,000 on conversion to permanent, depending on experience. Day rate during the contract phase negotiable.
Send a short note (a paragraph is fine) about a recent project you shipped — what the problem was, what you built, and how AI tooling helped.
Senior Full-Stack Engineer (AI, Data, Manufacturing) — Contract to Perm in Nottingham employer: DATABILITY 360 INSIGHT LTD
Contact Detail:
DATABILITY 360 INSIGHT LTD Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Full-Stack Engineer (AI, Data, Manufacturing) — Contract to Perm in Nottingham
✨Tip Number 1
Get your networking game on! Reach out to folks in the industry, especially those who work at companies you're interested in. A friendly chat can lead to insider info and even referrals that could land you an interview.
✨Tip Number 2
Show off your skills with a portfolio! Create a personal website or GitHub repo showcasing your projects, especially those related to AI and manufacturing. This gives potential employers a taste of what you can do and how you solve real-world problems.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to full-stack engineering. Think about how you’d tackle challenges in manufacturing environments and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team and contributing to exciting projects like ViewOps.
We think you need these skills to ace Senior Full-Stack Engineer (AI, Data, Manufacturing) — Contract to Perm in Nottingham
Some tips for your application 🫡
Be Yourself: When writing your application, let your personality shine through! We want to get to know the real you, so don’t be afraid to show your passion for engineering and how you approach problem-solving.
Highlight Relevant Experience: Make sure to showcase your experience with the tech stack mentioned in the job description. Whether it's Laravel, Python, or SQL Server, we want to see how you've used these tools to tackle real-world problems.
Keep It Concise: We appreciate brevity! A short paragraph about a recent project is perfect. Focus on the problem you faced, what you built, and how AI tooling played a role in your solution. Less fluff, more impact!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to hear from you!
How to prepare for a job interview at DATABILITY 360 INSIGHT LTD
✨Know Your Tech Stack
Familiarise yourself with the technologies mentioned in the job description, like Laravel, Python, and SQL Server. Be ready to discuss your experience with these tools and how you've used them in past projects, especially in a manufacturing context.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled real operational problems. Think about projects where you turned client needs into effective solutions, particularly using AI tooling. This will demonstrate your ability to make an immediate impact.
✨Emphasise Your End-to-End Ownership
Highlight your experience in owning projects from start to finish. Discuss how you've engaged with clients, designed systems, and delivered results. This aligns perfectly with their need for someone who can take charge and deliver practical engineering solutions.
✨Be Ready for Short Feedback Loops
Since they value quick iterations, be prepared to discuss how you've worked in environments with short feedback cycles. Share examples of how you’ve built something, received immediate feedback, and iterated on it to improve the solution.