Machine 20learning Projects

compact gearbox

I need a detailed 3D CAD design of a compact gearbox for a construction machine, including the housing, shafts, bearings, gears, motor connection, and all internal mounting/fit details,

Custom Clearance UK

I am looking for assistance with customs clearance for a machine imported from China (value approx. £5,000). The shipment is under door-to-door terms, and I would like to confirm whether you could assist with customs clearance and VAT handling in the UK only. All documents (commercial invoice, packing list, etc.) are available.

AI / Machine Learning Engineer (LLM & Applied AI) – Remote (EU)

Responsibilities AI / Machine Learning Build and deploy AI-powered applications using existing Large Language Models (LLMs). Design systems that ingest data, extract structured insights, and generate accurate outputs. Develop RAG pipelines, chunking strategies, and LLM orchestration workflows. Build tools for model training, evaluation, inference serving, monitoring, and alerting. Experiment with modern ML frameworks and open-source AI tools. Software Engineering Develop scalable microservices that integrate AI models with production systems. Build APIs and backend services to process and manage AI-generated data. Work with modern programming languages such as Python, JavaScript, Go, or Rust. Data Engineering Design pipelines to extract, transform, and load data from multiple sources. Clean, normalize, and validate datasets for model usage. Optimize data pipelines for reliability and performance. Database & Infrastructure Design database schemas and optimize queries. Manage performance and scalability of data storage systems. Ensure AI infrastructure is production-ready and scalable. Collaboration Work closely with product managers, engineers, and subject matter experts. Communicate technical challenges and solutions clearly. Help define best practices for AI system architecture and development. Requirements Based in the European Union 8+ years of software engineering experience Strong experience with Python or JavaScript Hands-on experience with LLM APIs (OpenAI, Anthropic, or similar) AI / LLM Experience Experience building RAG systems Knowledge of chunking strategies for LLM optimization Experience with LangChain, LangGraph, or similar orchestration tools Familiarity with AI monitoring, observability, and evaluation frameworks Experience building agent-based workflows or AI automation Engineering Experience Experience building microservices and scalable systems Strong knowledge of data pipelines and ETL processes Experience designing and optimizing databases and data models Additional Skills Strong understanding of ML concepts and NLP techniques Ability to work with ambiguous problems and rapidly evolving AI tools Experience with modern software development practices (Git, testing, CI/CD, code reviews) Engagement Details Location: Remote (EU-based freelancers only) Contract: Freelance Availability: Part-time or Full-time Duration: Long-term collaboration possible Nice to Have Experience building AI agents or multi-agent workflows Experience with evaluation frameworks for LLMs Experience deploying AI infrastructure in production environments

AI / Machine Learning Engineer (LLM & Applied AI) – Remote (EU)

Responsibilities AI / Machine Learning Build and deploy AI-powered applications using existing Large Language Models (LLMs). Design systems that ingest data, extract structured insights, and generate accurate outputs. Develop RAG pipelines, chunking strategies, and LLM orchestration workflows. Build tools for model training, evaluation, inference serving, monitoring, and alerting. Experiment with modern ML frameworks and open-source AI tools. Software Engineering Develop scalable microservices that integrate AI models with production systems. Build APIs and backend services to process and manage AI-generated data. Work with modern programming languages such as Python, JavaScript, Go, or Rust. Data Engineering Design pipelines to extract, transform, and load data from multiple sources. Clean, normalize, and validate datasets for model usage. Optimize data pipelines for reliability and performance. Database & Infrastructure Design database schemas and optimize queries. Manage performance and scalability of data storage systems. Ensure AI infrastructure is production-ready and scalable. Collaboration Work closely with product managers, engineers, and subject matter experts. Communicate technical challenges and solutions clearly. Help define best practices for AI system architecture and development. Requirements Based in the European Union 8+ years of software engineering experience Strong experience with Python or JavaScript Hands-on experience with LLM APIs (OpenAI, Anthropic, or similar) AI / LLM Experience Experience building RAG systems Knowledge of chunking strategies for LLM optimization Experience with LangChain, LangGraph, or similar orchestration tools Familiarity with AI monitoring, observability, and evaluation frameworks Experience building agent-based workflows or AI automation Engineering Experience Experience building microservices and scalable systems Strong knowledge of data pipelines and ETL processes Experience designing and optimizing databases and data models Additional Skills Strong understanding of ML concepts and NLP techniques Ability to work with ambiguous problems and rapidly evolving AI tools Experience with modern software development practices (Git, testing, CI/CD, code reviews) Engagement Details Location: Remote (EU-based freelancers only) Contract: Freelance Availability: Part-time or Full-time Duration: Long-term collaboration possible Nice to Have Experience building AI agents or multi-agent workflows Experience with evaluation frameworks for LLMs Experience deploying AI infrastructure in production environments

Photo realistic renderings ideally with graphic design skills

K6 design group https://www.k6.co.uk are an industrial design consultancy that specialises in unattended retail; an example of which would be vending machines. We are looking for a reliable subcontractor who can produce quality photo realistic renderings of products where we don't always have the original CAD data. Source material could simply be photographs from brochures and approximate overall dimensions. Ideally this person would also have a sense of graphic proportion and design awareness so that we can work up designs for machine vinyl wraps etc. We will need to see examples of your work.

Need AI/ML software engineer

Seeking an experienced AI/ML software engineer with robust full-stack development skills. The ideal candidate demonstrates deep expertise in machine learning models, data pipelines, model deployment, and scalable backend/frontend systems. Fluent English is essential for clear collaboration with a US-based client. Professionalism, initiative, strong problem-solving abilities, and effective communication are required. Prior experience delivering production-grade AI solutions and working autonomously is preferred.

Python + AI Expert

Seeking a seasoned Python and AI specialist to design, implement, and optimize intelligent systems. Responsibilities include developing robust Python backends, crafting and fine-tuning machine learning models, integrating AI services, and ensuring scalable, maintainable code. Familiarity with modern tooling, model deployment, and performance tuning is essential. Experience with JavaScript frameworks and TypeScript is advantageous. Deliverables: well-documented code, reproducible training pipelines, and production-ready integrations. Competitive, milestone-based engagement.

Game ai maker

Seeking an experienced game AI developer to design and implement an adaptive, efficient AI system for an action-oriented game. Responsibilities include creating enemy and ally behaviors, pathfinding, decision-making logic, state machines or behavior trees, difficulty scaling, and performance optimization across platforms. Deliverables: modular, well-documented code, integration guidance, and test scenarios. Prioritize clean architecture, replayable emergent behaviors, and responsiveness.

opportunity

Touch controlled fiber optic lighting system

ouch sensor array → AI translation layer → fiber optic light control system. I've got the concept mapped out and will handle all materials procurement. Need someone who can turn this into working hardware in person. Technical requirements: • Pressure/capacitive touch sensor integration • Arduino/microcontroller programming for sensor data processing • Machine learning model deployment (edge computing preferred) • Fiber optic LED driver circuits • Real-time response optimization The system needs to translate touch patterns and pressure variations into corresponding fiber optic light behaviors. Think responsive surface that learns user interaction patterns over time. I'll provide: - All hardware components and materials - Technical specifications and design requirements - Project timeline and testing protocols Looking for: - Arduino/embedded systems expertise - Experience with sensor arrays and LED control - Ability to work in Canary Wharf area - Interest in human-computer interaction projects This is part of ongoing research into bio-responsive interfaces. Good opportunity for someone who wants to work on cutting-edge HCI applications.

opportunity

AI database management

Seeking an experienced developer to build a bespoke AI-driven lead generation platform inspired by valuationleads.com. The system must aggregate and cleanse diverse data sources, deploy machine learning models to score and prioritize prospects, integrate with CRM systems, and present an intuitive dashboard for campaign management and analytics. Emphasis on robust data security, scalability, and automated outreach workflows. Deliverables include comprehensive documentation, testing, and deployment.

opportunity

Teams dashboard

Develop a Teams dashboard that aggregates machine fault reports from multiple Teams channels and visualizes them like an airport flight schedule board in red. The system will parse chat entries from GC1–GC7, link each fault to the responsible site engineer, record occurrence frequency, and highlight recurrent faults. It will present consolidated metrics and individual site details on the Service Engineers dashboard, enabling rapid identification, trend analysis, and prioritization of repairs.

UI/UX Designer — AI Infrastructure Product (early-stage startup)

We are an early-stage deep-tech startup building infrastructure for distributed AI workloads. Our product enables AI tasks to run across a global network of machines, with a strong focus on reliability, security, and observability. We are currently working on internal tools and interfaces that help visualize and manage complex system behavior — and we’re looking for a designer who can help us shape these experiences. --- What you’ll work on • Designing clean and intuitive interfaces for complex systems • Creating UI for internal tools and monitoring environments • Visualizing system states, metrics, and workflows • Improving usability of data-heavy interfaces • Contributing to early product design decisions --- What we’re looking for • Experience in UI/UX design (web-based tools or dashboards is a plus) • Ability to simplify complex information into clear interfaces • Strong sense of layout, hierarchy, and visual clarity • Attention to detail and consistency • Comfortable working with evolving product requirements

Senior AI/ML Engineer

I’m upgrading our risk-and-compliance platform and need an EU-based engineer who can blend robust software craftsmanship with hands-on machine-learning expertise. The mandate is to automate decision-making across key customer-facing features by fusing classical ML techniques with Large Language Models. You’ll design the end-to-end pipeline in Python, harnessing PyTorch, TensorFlow or scikit-learn to train, evaluate and continuously improve models, then ship them as production-ready services that scale and stay maintainable. Solid experience integrating models into distributed systems, setting up meaningful evaluation metrics and communicating findings to non-technical stakeholders will be crucial, as you’ll work side-by-side with product, legal and data teams. Deliverables I’ll review: • Clean, well-documented Python codebase that builds, tests and deploys the chosen models • Containerised service or microservice exposing the decision-automation endpoint • Evaluation report covering model performance, drift-monitoring strategy and rollback plan If you have 4+ years of professional software engineering in production ML settings and can articulate your design choices clearly in English, I’d like to hear how you would tackle this challenge.

Senior AI / Full-Stack Developer (US Time Zone | Native English)

We are looking for an experienced AI or Full-Stack Developer who can work in the US time zone and communicate at a native English level. This role requires strong technical skills, clear communication, and the ability to work with a distributed team. We highly value developers who can explain ideas clearly and collaborate effectively. To confirm English communication ability, all applicants must include a short Loom introduction video. Requirements: Mandatory Native-level English communication 5+ years of software development experience Ability to work in the US time zone Strong problem-solving and communication skills Technical Skills (one or more areas) AI / Machine Learning Experience with LLMs, AI integrations, or AI product development Python, LangChain, OpenAI APIs, or similar tools Full-Stack Development JavaScript / TypeScript React, Next.js, Vue, or Angular Node.js / Express / NestJS REST APIs or GraphQL SQL or NoSQL databases Cloud platforms (AWS, GCP, or Azure) Nice to Have: Experience building AI-powered applications SaaS product experience Experience working with remote US teams DevOps or cloud deployment experience Application Instructions: To apply, please submit: Your resume or portfolio Your technology stack A short Loom video introduction (2–3 minutes) explaining: Your background Your development experience Projects you worked on Confirmation you can work in the US time zone Engagement: Remote Long-term opportunity

Senior AI Developer /AI Automation Engineer (LLM, AI Agents,)

Job Overview: We are looking for an experienced AI Developer / AI Automation Engineer to design and build advanced AI applications, intelligent agents, and automation platforms similar to leading AI products for different industries.: • (AI-powered enterprise legal assistant) • (AI agent-based digital workforce platform) • (Generative AI business automation platform) • (AI analytics and marketing intelligence platform) These platforms leverage LLMs, AI agents, data pipelines, automation workflows, and API integrations to automate business operations, data analysis, marketing insights, and enterprise workflows. The ideal candidate should have strong experience in Generative AI, LLM development, AI agent frameworks, and automation systems. Key Responsibilities: 1. AI Application Development • Design and build AI-powered applications using LLMs • Develop AI agents capable of performing automated tasks • Implement retrieval augmented generation (RAG) systems 2. AI Agent & Workflow Automation • Build multi-agent AI systems • Create automated business workflows for: • marketing • analytics • customer support • data processing 3. LLM Integration • Integrate AI models such as: • OpenAI • Claude • Gemini • Llama • Fine-tune models for domain-specific applications. 4. Data & Knowledge Systems • Implement vector databases and semantic search • Build knowledge bases for enterprise AI assistants. 5. API & SaaS Integration Integrate AI with: • CRM systems • Marketing platforms • Google Ads / Meta Ads • analytics dashboards • internal business systems. 6. AI Analytics & Reporting Develop AI-powered analytics dashboards for: • marketing data • campaign optimization • predictive insights. Required Technical Skills AI / Machine Learning • Generative AI • Large Language Models (LLMs) • Prompt Engineering • RAG architecture • AI agents Programming Languages • Python (mandatory) • JavaScript / TypeScript • Node.js AI Frameworks Experience with at least one: • LangChain • LlamaIndex • AutoGPT • CrewAI • Semantic Kernel • HuggingFace AI Infrastructure • Vector Databases (Pinecone, Weaviate, Chroma) • Model deployment • AI APIs Cloud Platforms • AWS • GCP • Azure Databases • PostgreSQL • MongoDB • ElasticSearch DevOps • Docker • Kubernetes • CI/CD Preferred Skills • AI agent development • AI workflow automation • Data pipeline development • Marketing analytics AI • NLP systems • Chatbot / AI assistant development AI Products / Systems You May Work On Develop systems similar to: • AI Legal Assistant Platforms • AI Business Automation Agents • AI Marketing Analytics Platforms • Enterprise AI Knowledge Systems • AI SaaS Automation Tools Candidate Profile: We are looking for someone who: • Has strong experience building AI products • Understands LLM architecture and AI workflows • Can design AI SaaS platforms from scratch • Has experience building scalable AI systems Note: This is going to be a long term Full time position with good salary package. Please only apply if you are not working for any agency and you will be fully dedicated to work only with us since this is not one time project and we want those to be a part who want to be with us for long time. Best Regards Ashish

Prospect Intelligence Analyst | Research Assistant

ROLE OVERVIEW Our firm helps small service businesses in the US and UK identify and fix operational revenue leaks — the gaps that cause them to lose enquiries and bookings without realizing it. You sit at the front of our Prospect Machine. Each week you research small businesses, identify their primary revenue leak, score them, enrich decision maker contacts, and populate our structured prospecting tracker. Your output feeds directly to our Cold Caller and Business Systems Consultants. This is not a data entry role. It requires pattern recognition, fast decision-making from limited information, and the discipline to work at consistent pace to a fixed weekly deadline. CORE RESPONSIBILITIES • Source 150–200 raw businesses per week using scraping tools provided by company • Filter to 120–150 qualified SMBs • Review each business's online digital presence — website, booking system, social pages, and online reputation — and conduct test calls outside office hours to assess missed call risk and after-hours responsiveness. Identify the primary operational revenue leak based on what the evidence shows • Find and verify the decision maker via enrichment tools provided by company • Score each lead, flag Priority Leads, and escalate leads immediately • Populate the B2B Prospecting Tracker • Submit all deliverables via agreed upon platform and time. Onboarding Ramp Week 1— 50–60 leads, research and tracker only. Full SOP and training provided. Quality standards apply from day one. Week 2 onwards — Cold call script prep for top 20 Priority Leads added. Week 3 onwards — Industry community and directory identification added. REQUIREMENTS • Experience in B2B lead research, business intelligence, or structured data research • Able to make fast, confident decisions from publicly available data • Strong attention to detail — accurate entries matter more than perfect ones • Comfortable following a structured SOP independently, without frequent check-ins • Clear written and spoken English, with prompt communication COMPENSATION & STRUCTURE • $17.00/hr · 15 hrs/week · ~$255/week • Performance review at 45 days — rate increase available for strong performers HOW TO APPLY Begin your application with the word SIGNAL — applications that don't will not be reviewed. Then answer these two questions: 1. Describe a research or data project where you worked to a consistent weekly output target. What tools did you use and what was your weekly volume? 2. You're researching a dental practice. Their website has no online booking system — new patients are instructed to call during office hours only. There is no contact form and no alternative way to enquire outside of calling. In two to three sentences: identify the primary revenue leak, explain why it matters commercially, and give this lead a score out of 10 with a one-sentence justification. Note Question 2 has a clear correct answer. We are looking for specific, evidenced reasoning — not a general description of the problem.