Reviews Projects

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

opportunity

Revised Golf Club Video Tracking and Analysis Program

Hi, I please need a relatively simple application constructed for video-based golf club tracking and analysis. Previous attempts have been partially successful, so there is some work there that can be referenced and potentially utilized. A standard 2D camera and video are all that are required for acceptable application performance. Simple marker tracking is planned at this time, comprising two visible markers placed at determined, measured locations on a club to be tracked by users. Original videos input into the needed application will be relatively short, limited to perhaps a few seconds or less. The application will initially need to reformat videos to include frame numbers for user and application referencing. After careful examination of the reformatted video by a user as instructed, the user will select just two frames (so four tracking markers) for the application to further work with. Tracking should be performed just manually and interactively for now. So a means should be provided for a user to view, manually place, and precisely adjust computer tracking indicators over each of the four markers in the two frames selected. With that information, combined with specified club measurements input into the application by the user by this point, an initial club tracking result can be graphically and mathematically displayed. That tracking result will typically reveal a preliminary solution for a user (a rotation point location along the length of the club). But due to the nature of the original club movement, a preliminarily calculated rotation point location will usually be incorrect, commonly by a substantial amount. Thus, an additional process involving some fairly basic geometric and mathematic calculations will need to be further applied (will be provided). And a corrected, final rotation point location as calculated will be the result, graphically and mathematically displayed by the application for a user. I will need to test and work with any efforts on my (Windows) desktop. Desktop and web versions are minimally planned for now. So a programming language(s) that could work effectively for both would be helpful. I think R and Python were mostly tried previously, with various pluses and minuses about each. I am open to any other language(s) as well. Added descriptions needed for both the video tracking and solution aspects to accomplish functional success are much more thoroughly detailed in separate documentation. It includes systematic breakdowns of previous failed attempts for reference, what worked well and not so well with them, and the processes and equations to be applied to calculate final solutions. Various elements of intellectual property are involved. So while I can additionally discuss some matters beforehand, an NDA will be strictly required before I will be able to disclose and/or discuss certain information related to the much more detailed documentation. I can provide the needed NDA after reviewing any proposals I might be fortunate enough to receive. While there is no set budget, past failures have to this day prevented me from better validating certain critical elements concerning the needed application on an extremely foundational level. And until such better proof is obtained first, my additional spending on this particular project will be as minimal as possible to say the very least. If and when better validated, I can reevaluate where to go from there. I am open to both project or hourly rate offers, but I cannot seriously consider an hourly rate offer without a guaranteed maximum number of hours stated up front to successfully complete the needed application. Thank you very much.

opportunity

Shopify Website Optimization, Conversion Improvement for B2B

Project Overview We are a growing North American supplier of elevator components and systems looking to improve our Shopify-based website before implementing an AI assistant. Our website currently receives approximately 1,500–2,000 visitors per week and converts approximately 10–20 visitors per week to a quote request. We believe there is significant room to improve conversion before adding FAQ content and an AI assistant. This is not a full redesign. It is a focused project to improve: website usability and navigation quote and inquiry conversion content structure and trust signals knowledge organization AI readiness for a future website assistant We want a freelancer who can think strategically about both customer experience and conversion, and then help implement practical improvements. Project Goals The freelancer will help us: increase conversion from website traffic to quote/inquiry actions reduce friction in the quote/request journey improve navigation for first-time visitors better organize technical/product knowledge strengthen trust and proof elements prepare the site for a future FAQ layer and AI assistant Current Website Website: www.delcoelevator.com Platform: Shopify Current quote form: currently routes off-site Key Business Context Our customers are typically elevator contractors and other technical buyers. They often arrive with specific product, application, or technical-support questions. We believe the current site is professional and credible, but too oriented toward browsing rather than converting. We suspect some of the current conversion barriers include: quote requests routing off-site no lower-friction step before a full quote request product navigation that may be overwhelming for first-time users Scope of Work 1. Website Audit: UX, Conversion, Navigation, Content Structure Review the current website and identify issues and opportunities related to: conversion funnel performance homepage messaging navigation clarity Deliverables: audit report prioritized recommendations by impact and effort identification of quick wins vs larger improvements 2. Conversion Optimization A major focus of this project is improving the path from website visit to meaningful inquiry. We would like the freelancer to review and recommend improvements related to: moving the quote/request experience on-site reducing drop-off in the current quote flow adding lower-friction CTAs before a full quote form improving homepage and key landing page calls to action Deliverables: conversion improvement recommendations revised CTA strategy revised quote/contact flow wireframe or page recommendations for improved conversion paths 3. Navigation and Information Architecture We want to make the website easier for first-time users to understand. Current product navigation may be overwhelming for visitors unfamiliar with our terminology. We would like recommendations for a clearer structure based on buyer intent or job type. Deliverables: proposed sitemap or navigation structure recommendations for menu simplification 4. Quote and Contact Flow Redesign We want a cleaner, higher-converting inquiry system. Tasks may include: redesigning quote/contact flows 5. Knowledge Organization and Help Content Structure We have technical documents, manuals, and library content, but we believe they need to be better organized before adding FAQ content or AI. We want help restructuring this knowledge so it is easier for both users and future AI tools to navigate. Deliverables: proposed knowledge/help structure recommendations for page organization 6. FAQ and AI Readiness Planning We are planning to add FAQ content and later a website AI assistant, but we want the website structure improved first. The freelancer should help identify: what content needs to exist first what FAQ structure would make sense what AI use cases are realistic Deliverables Summary Please assume the project includes some or all of the following: website audit prioritized recommendations conversion optimization plan revised quote/contact funnel recommendations navigation/sitemap recommendations knowledge/help structure recommendations FAQ/AI readiness recommendations optional implementation support in Shopify Timeline Open to proposals, but likely something like: Audit and recommendations: 1–2 weeks Implementation support: additional 2–4 weeks depending on scope How to Apply Please include: examples of similar Shopify, B2B, or conversion-focused projects your approach to improving both UX and conversion whether you have experience with FAQ/help-center or AI-readiness work estimated timeline and budget whether you can also help implement recommendations, not just audit them Additional Notes We are not looking for a purely aesthetic redesign. We are looking for a practical freelancer

opportunityurgent

Product Data Mapping Specialist Needed for 250,000 SKU EPOS File

Job Description: We are looking for a detail-oriented freelancer to support a structured data-mapping project for a large EPOS export containing approximately 250,000 products. Each product includes core fields such as SKU, description, brand, size, and other attributes. Your role is not to create new category structures, but to map each product accurately and consistently into a predefined hierarchy and tagging framework. This work is highly important as the mapped data will be used for reporting, analytics, and future automation, so accuracy, logic, and consistency are essential. Scope of Work Each product must be assigned to a fixed 3-level category hierarchy: Department (Level 1) Sub-Department (Level 2) Analysis Code (Level 3) Example: Department: ART Sub-Department: PAINT Analysis Code: WATERCOLOUR This means all watercolour paints would be mapped to: ART → PAINT → WATERCOLOUR We will provide: The approved list of Departments The approved Sub-Departments for each Department The approved Analysis Codes for each Sub-Department You must not create new categories, rename existing ones, or deviate from the supplied structure without approval. Existing Top-Level Departments Examples include: ART CRAFT STATIONERY JIGSAWS LEGO Additional departments will be included in the master file. Tagging Requirements In addition to category mapping, products must also be assigned tags in separate columns. Required tag groups include: Brand (for example: Winsor & Newton, Faber-Castell, LEGO) Size / Volume (for example: 12ml, A4, 500g, Pack of 10) Other clearly identifiable and consistently reusable attributes where appropriate Tags must be: Clean Standardised Reusable Free from unnecessary variations Mapping Rules Use the product name, description, brand, and available attributes to determine placement Similar products must always be mapped consistently If a product is unclear or ambiguous, flag it instead of guessing Do not make assumptions without a logical basis Output Required The final Excel output should include at minimum: Original SKU / Product ID Department Sub-Department Analysis Code Brand Tag Size Tag Notes / Flags (if applicable) Important Requirements No blank category fields unless clearly flagged No free-text category creation Strict adherence to the supplied structures Strong attention to detail and consistency throughout Validation Process Before full rollout, we would like the selected freelancer to complete a small sample batch for validation. We will review this first to ensure alignment before the full file is processed. Ideal Freelancer We are looking for someone with: Strong Excel skills Excellent attention to detail Experience with large product catalogues, categorisation, or data cleansing A logical and methodical approach to classification work If anything in the structure or logic is unclear, we would expect questions to be raised early. It is more important that this is done correctly than quickly. Please include relevant experience when applying, especially any examples of product mapping, taxonomy work, catalogue clean-up, or structured data classification.

opportunity

Music led AI proposition (MVP - next stage)

Hi All, see below what we are looking for: We've developed an AI-powered platform built to help businesses craft compelling pitches and proposals. Currently at MVP stage and using the Claude AI API, the product has proven its core concept and is ready to scale. We’re looking for an experienced consultant developer to take it from MVP to a robust, secure, multi-tenant product that is ready for commercial growth. The Role This is a freelance/contract engagement, fully remote. You’ll work closely with the founder to define the roadmap, make key technical decisions, and deliver a more polished, secure, and scalable version of the product. The right person will be comfortable working across the full stack and will have a genuine interest in AI-powered products. Scope of Work 1. Build Out the Product Proposition • Evolve the MVP into a fuller product experience — improved UX, additional features, and a clearer user journey. • Identify and close gaps between the current MVP and a market-ready product. • Work collaboratively to define and prioritise the feature roadmap. 2. Multi-Tenant Authentication & Secure Login • Design and implement a secure, scalable multi-tenant login architecture so that separate companies can access the platform with fully isolated accounts. • Implement role-based access control (RBAC) where appropriate. • Evaluate and integrate a suitable auth provider (e.g. Auth0, Clerk, Supabase Auth, or similar). 3. Security Enhancement • Audit the current codebase and infrastructure for security vulnerabilities. • Implement security best practices: input validation, rate limiting, secrets management, and secure API handling. • Ensure GDPR compliance for UK/EU users — data handling, storage, and deletion policies. • Set up appropriate logging and monitoring for security events. 4. Improve AI Matching & Recommendations • Review and refine the existing Claude-powered matching logic. • Improve the quality, relevance, and consistency of AI-generated outputs. • Explore additional prompt strategies, context management, and retrieval approaches (e.g. RAG) to strengthen results. 5. Optimise the Claude API Configuration • Audit and refine the existing Claude API set-up: model selection, system prompts, token usage, and response handling. • Implement cost controls and ensure API usage is efficient and well-monitored. • Stay current with Anthropic’s best practices and model updates. 6. Scalability & Infrastructure • Assess the current infrastructure and recommend improvements to support growth. • Ensure the system can handle multiple concurrent users and company accounts without degradation. • Implement database optimisations and appropriate caching where needed. 7. Testing, Documentation & Handover • Establish a testing strategy (unit, integration, and end-to-end tests) to ensure code quality as the product scales. • Document the architecture, API, and key decisions so future developers can contribute effectively. • Provide a clean handover with clear notes on any ongoing work or future recommendations. What We’re Looking For • Proven experience taking products from MVP to production-ready, at pace. • Strong full-stack development skills — comfortable across front-end, back-end, and infrastructure. • Solid understanding of authentication systems and multi-tenant architectures. • Experience with LLM APIs — ideally Claude/Anthropic, or similar (OpenAI, Gemini). • Security-conscious mindset with practical knowledge of common vulnerabilities and mitigations. • Familiarity with GDPR and data privacy requirements in the UK/EU context. • Strong communicator — able to translate technical decisions into plain language for a non-technical founder. • Fluent in written and spoken English — clear communication is essential as you’ll be working closely with the founder throughout. • Self-directed, reliable, and comfortable working asynchronously. • Experience with prompt engineering and LLM optimisation. • Background in B2B SaaS products. • Knowledge of RAG (Retrieval-Augmented Generation) or vector database approaches. • Familiarity with analytics and observability tooling. A few notes: 1. If you can't communicate in English please don't apply as i will need to speak to you to grow this 2. Must have experience in developing or creating Ai websites (i will be asking for this) 3. Make sure your application is relevant to what the above is asking, if it isn't then it will auto-rejected. Thanks

Build UK activity and experience operator company database

Overview We are building a structured database of UK activity, tour and experience operators. This is a research-focused project requiring accurate company information plus verified senior decision-maker contact details. Pricing Structure & Proposal Requirements This project is structured as fixed-price batches. We are not publishing a budget range and will be assessing proposals based on methodology, accuracy and commercial fit. Proposals without clear pricing will not be considered. Please provide fixed prices for the following: Trial Batch: 50 completed records Production Batch: Per 1,000 completed records Your proposal should also include: Estimated turnaround time per batch Scope of Work – UK Operator Research (Manual List Building) Research UK-based operators that both take bookings and directly deliver experiences, tours or activities themselves. Include only the actual service providers. Exclude agents, resellers, marketplaces, aggregators or any business that does not run and fulfil the activity in-house. Companies must control and fulfil the experience themselves and must not operate solely as listing platforms, brokers, agents, or ticket resellers. Use the attached market categories document as the target markets. Data Required (columns in spreadsheet) Company Information Company Name Website URL City or Region (UK only) Activity Category Source (Google Maps, Tripadvisor, Viator, GetYourGuide etc.) Decision-Maker Information Full Name of Senior Decision Maker Job Title (Owner, Founder, Managing Director, General Manager, Head of Operations etc.) LinkedIn Profile URL Verified Work Email Address (personalised to the named contact only) Mobile Phone Number (if publicly available) Office Phone Number Booking system used (Bókun, FareHarbor, Rezdy, TrekkSoft, Regiondo, Beyonk, TicketingHub, Bookeo, BookingLive, Xola, bookinghound etc) Quality Expectations UK-based companies only Must have a working website Senior decision makers only Emails must be verified and belong to the named individual Email addresses must be validated using recognised professional verification methods and must not be guessed, pattern-generated, or sourced from bulk lead databases. No generic inboxes Phone numbers must be publicly listed or clearly attributable to the company Profiles must be validated against a current LinkedIn page LinkedIn profiles must clearly show the individual’s current role at the listed company. Profiles without visible company alignment may be rejected. No duplicates One company per row Quality Benchmarks Relevance (Pass / Fail) Companies must be genuine operators that run and deliver their own activities. Decision-Maker Accuracy Contacts must hold senior roles such as Owner, Founder, Managing Director, General Manager or Head of Operations and be validated via LinkedIn. Email Standards Only verified work emails for the named senior decision maker are accepted. Data Structure & Consistency Correct spelling, clean clickable URLs and consistent formatting are required. Trial Batch Benchmarks The first batch will be reviewed against the following benchmarks: Minimum 80% relevant companies Minimum 60% verified senior emails Project Structure & Commitment Phase 1 – Trial Batch The project will begin with an initial trial delivery of 50 completed records. This phase will be used to evaluate research quality, relevance and adherence to the requirements. Phase 2 – Scaled Delivery If the trial batch meets expectations, the project may continue in larger batches of up to 1,000 records at a time. Flexible Engagement This is an ongoing research engagement rather than a fixed-volume contract. Work may be paused or stopped by the client at any stage, during or after any batch, without further commitment or obligation and for any reason. Additional batches must not begin without explicit approval. File Format Microsoft Excel (.xlsx) or Google Sheets format only UTF-8 compatible text formatting Data Ownership All data created as part of this project becomes the sole property of the client upon payment and may not be reused or resold elsewhere. Right to Pause or Stop The project may be paused or stopped after any delivery for any reason by the buyer. Client Acceptance Rights The client reserves full discretion to accept or reject any submitted batch based on relevance, accuracy, structure, or adherence to the requirements outlined in this brief. Acceptance is confirmed only when the client explicitly approves the batch in writing within the platform. If a batch does not meet expectations or benchmarks, the client may reject the submission and discontinue the engagement immediately. If a batch is rejected, the client will not release payment for that milestone. Trial Batch Evaluation The initial 50-record trial batch will be assessed against the stated quality benchmarks. Failure to meet benchmarks may result in rejection of the batch and closure of the contract without further obligation.

Review CV and cover letter for Mental Health clinician role

I want to apply for a Mental Health clinician role and I have an up-to-date CV and cover letter, I would like someone to review it to see if it can be improved and to check the grammar. Also, for the role, I have 2 short questions that would like someone to review the answers to.