Freelance Frontend Engineers in England
Freelance Frontend Engineers in England
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Mark Bucknell
pro
Hull, UK
20+ years experience in web/mobile development
$25k+
Earned
3x
Hired
5.0
Rating
281
Followers
Certified Partner
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20+ years experience in web/mobile development
13
urlz
13
297
9
Collectors Comics
9
151
24
Design Full-Time
24
659
9
Epicurrence Landing Page
9
164
Frontend Engineer
(4)
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Michael Ola
London, UK
Webflow Developer & UX/UI Designer
19x
Hired
4.9
Rating
69
Followers
Certified Partner
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Webflow Developer & UX/UI Designer
1
Bristow Property Group Webflow Website
1
6
1
Iris Webflow Website Development
1
6
2
Tribal Tapestry Website Overhaul
2
29
1
Non Studio
1
5
Frontend Engineer
(1)
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Ali Shan
pro
London, UK
Full-Stack & AI Dev | TypeScript, Next.js, React, Node
$50k+
Earned
5x
Hired
5.0
Rating
133
Followers
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Full-Stack & AI Dev | TypeScript, Next.js, React, Node
3
Full Stack Web App Build
3
65
3
In love with this renaissance style imagery for hero sections.
2
3
834
0
AIUC-1 Standards Interface Demo with React
0
11
3
Vantage Real Estate Intelligence Platform
3
48
Frontend Engineer
(6)
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Talia Przybyszewski
pro
Newcastle upon Tyne, UK
Creative developer crafting premium digital products
$1k+
Earned
2x
Hired
4.1
Rating
63
Followers
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Creative developer crafting premium digital products
1
TANIT Interiors
1
10
0
FORGE Inspect: UI Consistency & Design Audit Tool
0
18
0
D.Luxe Aesthetics: Premium Clinic Website Redesign
0
17
0
FORGE: UI & Motion System for Modern Interfaces
0
14
Frontend Engineer
(7)
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Moyo Weke
pro
London, UK
Frontend Dev & Web Designer | Framer, Figma, Decks
$1k+
Earned
2x
Hired
5.0
Rating
13
Followers
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Frontend Dev & Web Designer | Framer, Figma, Decks
0
Kupa Global Website Redesign
0
46
0
Skilled eLearning: Conversion-Optimized Landing Page
0
58
0
No-Code Website Creation for a Digital Marketing Specialist
0
9
0
Sunbeam Social: Interactive Social Analytics Frontend Dashboard
0
43
Frontend Engineer
(4)
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Abdulhamid Sonaike
pro
London, UK
AI Engineer | LLM Agents - RAG & Evals - Full Stack
5.0
Rating
18
Followers
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AI Engineer | LLM Agents - RAG & Evals - Full Stack
0
Super Oga: a 3D platformer run through Lagos
0
9
0
Surgical Trainer 3D: a browser theatre for medical students
0
9
1
CSSPify: a site's colours and type in one click
1
21
1
OPSIS AI: Revolutionizing Storyboard Creation
1
21
Frontend Engineer
(4)
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IDOWU ELIJAH
London, UK
AI Product Engineer | Building Production Ready AI Apps
25
Followers
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AI Product Engineer | Building Production Ready AI Apps
0
🚀 A BEAUTIFUL APP IS GOOD. A BEAUTIFUL APP THAT NEVER FEELS SLOW? EVEN BETTER. 📱🔥 Some apps catch your attention with their colors. Others impress you with their features. But the apps that truly stand out bring everything together. When I think about building a great app, I focus on more than just making the interface look attractive. 🎨 Visual impact — bold, attractive colors that give the app its own identity. ⚡ Smooth performance — fast loading, responsive interactions, and less frustrating lag. 📱 Mobile-first experience — layouts that feel natural on phones, tablets, and desktops. 🧭 Simple navigation users should know where to go without having to think too hard. 🛠️ Reliable functionality — buttons, forms, APIs, and features must work as expected. ✨ Attention to detail — clean spacing, smooth transitions, readable text, and consistent design. Here’s the real lesson: great design gets attention, but great performance and usability keep people coming back. An app shouldn't force users to choose between looking good and working well. It should deliver both. That’s the standard I want to bring to every product I build: attractive on the outside, reliable on the inside. 🚀 👇 What makes you fall in love with an app first: its design, its speed, or its features? #AppDevelopment #UIUX #WebDevelopment #SoftwareEngineering #ProductDesign #FrontendDevelopment #BuildInPublic
0
20
1
AI WROTE THE CODE. WHO CHECKS THE BUGS? AI can generate a working-looking feature in seconds but “it runs” doesn't automatically mean “it's correct.” One of the biggest lessons I’m learning with AI-assisted development is that the hardest bugs aren't always obvious. They can hide in: 🐛 Edge cases the original prompt never mentioned 🧠 Incorrect assumptions about how the application should behave 🔐 Security issues that don't appear during normal testing 🔄 Regression bugs that break something that previously worked ⚠️ Poor error handling when real users do unexpected things 🗄️ Data/API problems that only appear under different conditions That’s why I don't treat AI-generated code as the final answer. My workflow is: GENERATE → REVIEW → REPRODUCE → TRACE → TEST → VERIFY → SHIP First, I understand what the code is actually doing. Then I test the happy path and the paths the AI may not have considered. I check the stack trace, inspect the data flow, test edge cases, review dependencies and security-sensitive areas, and verify that the fix doesn't introduce another problem. This is becoming even more important as coding agents take on larger development tasks. GitHub's current tooling, for example, combines code review, testing, dependency checks, secret scanning, and security analysis around agent-generated changes. The lesson isn't “don't use AI to code.
2
1
29
2
What’s the secret behind an app that actually feels good to use? It’s not just the UI. A beautiful interface can get someone to download an app. But good engineering is what makes them stay. When I build an application, I think beyond the screens users can see. The real work is happening underneath: ⚡ Performance — interactions should feel fast and intentional. 🧠 State management — the app needs to keep data consistent as users move through it. 🏗️ Architecture — the codebase needs structure that can survive new features. 🛡️ Error handling — things will go wrong; the app needs to handle them gracefully. 📱 Responsive UX — the experience needs to work across different screen sizes. 🧪 Testing — don't assume it works because the happy path works. 📊 Monitoring — understand what happens when real users start using it. That’s the part many people never see. A user taps a button and thinks: “That was smooth.” Behind that single interaction could be API calls, state updates, database operations, validation, loading states, error handling and performance decisions. That’s why I believe: A good app isn't just designed. It's engineered. Modern web performance guidance also emphasizes that loading, responsiveness and efficient resource handling directly affect the user experience. My goal isn't simply to build something that looks finished. I want to build applications that behave like real products. Idea → Architecture → Code → Test → Deploy → Real Users. What’s one thing that immediately makes you uninstall an app?
2
125
3
$10,000,000 was sitting at the top of the 2026 WSOP Main Event. That number is one of the reasons I became interested in building this. Poker isn't just cards on a screen. At the highest level, millions of dollars can depend on thousands of individual decisions. So I'm building something around a question that I find technically fascinating: Can software understand what is happening on a poker table from visual data? That's what I'm working on with my Poker Vision project. The system is being designed to recognize and structure information such as: → 🃏 Hole cards → 🎴 Board cards → 👤 Player positions → 💰 Betting actions → 🔎 OCR information → 📍 Table coordinates → 🧠 Game-state changes Then the challenge becomes turning all of that raw visual information into reliable structured data that another part of the application can understand. And that's where the engineering gets serious. A single recognition mistake can completely change the state of the game. So I'm not interested in building something that simply looks intelligent. I want to build something that can: Detect → Interpret → Validate → Test → Learn from errors → Improve. One important boundary: I'm building this as a research/analysis and development project, not a real-time system that tells someone what action to take during live-money play. Major poker platforms prohibit real-time assistance that influences decisions during play. PokerStars (https://www.pokerstars.com/poker/room/prohibited/?utm_source=chatgpt.com) The bigger idea is what excites me: Computer vision + AI + poker data + software engineering. When the stakes can reach millions, even a small technical problem becomes an interesting engineering problem. And that's exactly the kind of problem I enjoy building. 🔥 If you were building this system, what would you tackle first: card recognition, player tracking, OCR, or game-state detection?
3
179
Frontend Engineer
(18)
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Sara Benchinoun
London, UK
Web Developer | Code to Life with Beautiful Design
1x
Hired
5.0
Rating
45
Followers
Top
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Web Developer | Code to Life with Beautiful Design
1
Mimbar360 | Scalable Digital Ecosystem
1
23
4
Bryn Glo Cottage | Unveiling Tranquil Luxury in Wales
4
129
3
Abney Funeral Services | Journey of Compassion and Innovation
3
88
1
Ardeen Group | Landing Page for Property Investment Group
1
120
Frontend Engineer
(6)
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