Freelancers using Python in EnglandFreelancers using Python in England
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Ali Shan's avatar
Ali Shan
proLondon, UK
Full-Stack & AI Dev | TypeScript, Next.js, React, Node
$25k+
Earned
5x
Hired
5.0
Rating
83
Followers
Full-Stack & AI Dev | TypeScript, Next.js, React, Node
Cover image for Langflow Multi-Agent Research Framework Development
Langflow Multi-Agent Research Framework Development
0
30
Cover image for Predictive Analytics Platform & ML Service
Predictive Analytics Platform & ML Service
0
15
Cover image for Backend Architecture for Text-to-Speech SaaS Platform
Backend Architecture for Text-to-Speech SaaS Platform
0
9
Cover image for Containerized Automated Quality Control Pipeline
Containerized Automated Quality Control Pipeline
0
6
Python(6)
Aryan Kushwah's avatar
Aryan Kushwah
Southampton, UK
Automation & AI for business process excellence.
Automation & AI for business process excellence.
Cover image for Energy Load Forecasting in Great Britain
Energy Load Forecasting in Great Britain
0
14
Cover image for NASDAQ Momentum Trading Strategy
NASDAQ Momentum Trading Strategy
0
12
Cover image for AI Agent Portfolio for Business Automation
AI Agent Portfolio for Business Automation
0
18
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Python(3)
Anesah Fraser's avatar
Anesah Fraser
London, UK
AI Agent & Automation Engineer | LangChain, Python, n8n, RAG
AI Agent & Automation Engineer | LangChain, Python, n8n, RAG
Cover image for Automated KPI Dashboard with Power BI
Automated KPI Dashboard with Power BI
1
5
Cover image for Ops Workflow Automation with Human Review
Ops Workflow Automation with Human Review
1
7
Cover image for Invoice Processing Automation Project
Invoice Processing Automation Project
1
5
Cover image for Automated Support Ticket Routing and Summarization
Automated Support Ticket Routing and Summarization
1
5
Python(5)
Ahtesham Hassan's avatar
Ahtesham Hassan
Dagenham, UK
AI Automation Engineer | n8n Claude & Python
New to Contra
AI Automation Engineer | n8n Claude & Python
Cover image for TriggerLeads — B2B AI Outreach Pipeline
TriggerLeads — B2B AI Outreach Pipeline
0
5
Cover image for AXON — Autonomous AI Operating System
AXON — Autonomous AI Operating System
0
6
Cover image for LumiGlow — eBay Automation System
LumiGlow — eBay Automation System
0
6
Cover image for airankchecker.uk — AI Visibility Audit
airankchecker.uk — AI Visibility Audit
0
4
Python(3)
Moyo Weke's avatar
Moyo Weke
proLondon, UK
Frontend Dev & Web Designer | Framer, Figma, Decks
$1k+
Earned
2x
Hired
5.0
Rating
12
Followers
Frontend Dev & Web Designer | Framer, Figma, Decks
Cover image for AI-Powered Skin Cancer Classification : Computer Vision
AI-Powered Skin Cancer Classification : Computer Vision
0
5
Cover image for Verlux E-commerce Web Design for Hospitality
Verlux E-commerce Web Design for Hospitality
0
4
Cover image for Kupa Global Website Redesign
Kupa Global Website Redesign
0
39
Cover image for Adluna: Productivity Platform UI/UX Design
Adluna: Productivity Platform UI/UX Design
1
52
Python(1)
Muhammad Talal's avatar
Muhammad Talal
Manchester, UK
Building next-gen Interactive experiences
$10k+
Earned
1x
Hired
20
Followers
Building next-gen Interactive experiences
Cover image for Revolutionize Unreal Engine Workflow: Efficient Terrain Impo...
Terrain Importer for Unreal Engine (Python + Custom UE Plugin) I built an end-to-end terrain importer that converts raw terrain dataset files into fully usable Unreal Engine landscapes automatically. Before this, importing and setting up ~45 landscape tiles in Unreal could take ~60 minutes and was easy to mess up. I wanted a fast, repeatable pipeline. It allows: Python reads the dataset and generates Unreal-ready .r16 heightmaps Python automation creates a new Unreal project and imports the heightmaps Custom UE plugin (C++) builds Landscapes from the imported heightmaps and places them correctly in the level Foliage: automatically placed across the terrain The workflow reduce from ~60 minutes to ~5 minutes for ~45 landscapes (~12× faster) and made it deterministic and repeatable ideal when terrain needs frequent regeneration.
1
3
294
Cover image for Built a Collab Viewer style
Built a Collab Viewer style toolset inside the UE5.5 project and made it reliable for dedicated-server multiplayer. I migrated/merged the Collab architecture into a my project (GameMode, PlayerController, Pawns, PlayerState), fixed reference/compile issues, and wired the tools to our custom UI for both First Person and Orbit pawns. Key work included replication/RPC cleanup so tools work over a server, plus integrating tools like annotations (text, paint and erase), transform, Datasmith runtime loading (replicated so one client’s load appears for others), measuring/dimension tool (place/edit/delete and unit switching), and bookmarks (place, list UI and teleport with rotation). A network-ready collaboration layer in custom with UI-driven workflows and server-validated replication, ready for packaging/testing and ongoing polish
1
1
264
Cover image for I worked on Sand Bullet (Unity 3D) a top-down shooter indie ...
I worked on Sand Bullet (Unity 3D) a top-down shooter indie title and owned the full development cycle from early concept to final deployment. I built the core tech including enemy AI, a flexible weapon system, and in-game power-ups, then pushed it through release on Steam, where it picked up real user traction and feedback that helped shape polish and iteration.
2
20
460
Cover image for I worked on R3V3nge, focusing on turning gameplay ideas into...
I worked on R3V3nge, focusing on turning gameplay ideas into stable, production-ready features in Unreal (C++ + Blueprints). I implemented and iterated core gameplay systems, tightened state handling, fixed edge-case bugs, and ran regular QA/debug passes to prevent regressions. I also did profiling/performance tuning to reduce hitches and keep gameplay responsive, while unblocking teammates when needed.
22
441
Python(1)
Idris Lamina's avatar
Idris Lamina
proLondon, UK
AI Automation & Web Design | n8n · Vapi · Claude API
16
Followers
AI Automation & Web Design | n8n · Vapi · Claude API
Cover image for Designed and built a Clause
Designed and built a Clause Bank Builder for a 22-staff Malaysian conveyancing law firm as the foundation of their legal document automation system. The problem was not just generating documents. The firm needed a way to organise its legal knowledge first: approved wording, reusable clauses, transaction scenarios, placeholders, trigger rules, exclusions and version history. The tool gives the team a simple Windows interface to add, edit, browse and review clauses without touching code. Each clause can be categorised, marked as active or draft, linked to usage conditions, and exported for backup. This creates a structured legal knowledge base that can feed future SPA generators, tenancy agreements, letter templates, matter workflows and Microsoft 365/SharePoint automation. The aim was to keep the system practical for a real law office: offline, maintainable, plain-English, and easy for non-technical staff to understand.
2
140
Cover image for Veranda, a luxury residential concept
Veranda, a luxury residential concept landing page Veranda is a concept build I created for a fictional luxury residential brand. It is not client work or a real property. The images and hero motion were generated with AI as part of the creative process. I wanted to explore something that matters when building high-fidelity landing pages: after several rounds of changes, how do you make sure the final page still looks like the design that was approved? The site is built in Next.js with responsive layouts, self-hosted fonts, GSAP motion and an interactive walkthrough. I also built in a proper QA process around it, not just checking that the page loads and the buttons work. It compares 12 sections across five screen sizes against approved visual baselines. It flags visual drift, missing baselines and changes that have not been reviewed. I also tested interactions, accessibility, contrast, performance, browser behaviour and reduced-motion states. The main lesson for me was simple: a page can pass functional tests and still no longer be the page that was agreed.
22
26
1.1K
Cover image for Cinematic Portfolio Design for Film Studio: A Visual Masterp...
A cinematic portfolio concept for a film and motion studio, designed to feel more like an editorial reel than a standard agency website. The site uses a dark visual system, oversized typography, smooth scrolling, restrained motion, and a full-screen project index to make the work feel premium before the user reads a word. The focus was on pacing, atmosphere and confidence: fewer sections, stronger visuals, cleaner movement. Built as a responsive Next.js prototype with Framer Motion and Lenis-style smooth scrolling, including hero, selected work, about and contact sections.
7
12
503
Cover image for I built a working AI
I built a working AI recruitment screening demo that shows how a hiring team can use AI without handing over the final decision. The flow is simple: A job spec goes in. Candidate profiles are screened against a weighted guideline. Each candidate gets a score, band, evidence quotes, and risk flags. Then everything stops at a human review queue. No auto-rejects. No silent ATS updates. No “AI decided this person is out”. The system includes: Candidate pipeline table Evidence-based screening view Human review queue Approve / reject / snooze decisions ATS deployment plan Audit log for compliance n8n workflow export with a human-in-the-loop Wait node Optional live Claude screening path The important part is the architecture: deterministic logic owns the workflow, gating, state and audit trail. The AI helps with judgement and screening, but the human owns the final decision. Built with Next.js, TypeScript, Claude API, n8n workflow architecture, and a gated ATS sync pattern. This is the kind of system I like building: AI that makes the work faster, but still respects the places where people need control. Shorter Version I built an AI recruitment screening pipeline with a human approval gate. It screens candidates against a rubric, shows evidence quotes and risk flags, then routes every candidate into a review queue before anything reaches the ATS. No auto-rejects. No silent updates. Human-in-the-loop by design. Built with Next.js, TypeScript, Claude API and n8n workflow architecture.
1
146
Python(1)