Sam Oliver

Azure AI Solution Architect – Remote Contract Location: Remote (Has to be EU-based) Language: Fluent/native English required Start: ASAPDuration: Until end of 2025, extremely likely extension A growing Microsoft-focused consultancy is seeking an experienced Azure AI Solution Architect to lead the design and delivery of enterprise Azure and Generative AI projects. You will act as the technical lead across solution architecture, client engagement, and delivery. Working with services like Azure Cognitive Search, OpenAI, and DevOps pipelines. The role is fully remote and client-facing, within a fast-moving, technically mature team. What you’ll bring:8+ years in Microsoft ecosystems (.NET, Azure PaaS)Strong experience in AI/ML and GenAI solution architecture (Azure Cognitive Services, Azure OpenAI)Understanding of prompt engineering and patterns like RAGExcellent communication skills across tech and business stakeholdersNice to have:Azure certificationsExperience with LLMs (GPT, BERT, LLaMA)Portuguese or French language skills

Quantitative Researcher – Crypto Markets & Signal Modeling A remote-first trading company is looking for a Quantitative Researcher or Data Scientist to help uncover short-term alpha in emerging crypto assets. You'll focus on surfacing opportunities in memecoin markets using a mix of blockchain analytics, sentiment signals, and time-series modeling. Key Details:Start date: ASAPLocation: Remote - EuropeContract: 3 months (potential to extend or go permanent)Rate: €500–€550/dayRole OverviewDevelop data-driven signals using blockchain indicators such as wallet flows, token velocity, and on-chain user activityBuild fast-reacting models to support short-horizon trading strategies with high win potentialUse real-world backtesting and live data to validate and adjust strategy parametersTrack platform-level performance metrics (e.g. retention, revenue trends) to support operational insightsWork closely with engineering teams to translate models into production-grade trading botsIdeal ProfileAdvanced academic background (PhD or equivalent experience) in a quantitative disciplinePrevious work in high-performance trading environments (HFT, hedge funds, or crypto-native quant firms)Strong command of Python, R, or MATLAB with a focus on market modeling and alpha researchFamiliarity with crypto trading ecosystems, especially volatile altcoins or Solana-based assetsComfortable navigating uncertain, noisy data and high-frequency environments

Freelance Agentic AI Engineer – A stealth startup trading company is looking for an experienced Agentic AI Engineer to develop autonomous trading agents using reinforcement learning and deep learning. The focus is on real-time execution across memecoins and large-cap crypto assets, powered by Solana. Key DetailsStart date: ASAPLocation: Fully remoteContract: 3 months (with option to go permanent)Day rate: €520/dayWhat You’ll DoDesign and train RL/DL models for crypto asset tradingBuild real-time trading agents integrated with Solana (e.g. Pyth Network, RPC APIs)Develop strategies for high-volatility memecoins and liquidity-aware large-cap coinsImplement risk controls to manage exposure across asset classesWhat We’re Looking ForPhD in AI/ML or 5+ years at leading AI/Web3 firms Demonstrated success deploying AI-powered trading systems with measurable performanceStrong background in reinforcement learning, deep learning, and financial modelingBonus: Experience with Solana, live trading infrastructure, or agentic AI

Freelance GCP / Vertex AI Engineer – Remote (Europe) Location: Remote in the EU Contract: Until end of year, with strong potential for extension Start Date: ASAP We’re working with a leading consulting firm that supports major clients in the banking sector. As part of a high-impact AI initiative, they’re looking for a freelance GCP / Vertex AI Engineer to join the team immediately. The focus of this project is on building production-grade solutions for Conversational AI using Google Cloud and Vertex AI, including Agent Assist and Generative AI components. Responsibilities:Design and implement solutions using Vertex AICollaborate with cross-functional teams to support model development and deploymentContribute to the development of Conversational AI workflows, including retrieval-augmented generation (RAG)Ensure systems are scalable, secure, and reliable in production environmentsRequirements:Proven hands-on experience with Google Cloud Platform (GCP) and Vertex AIStrong track record deploying machine learning models into productionExperience implementing or supporting Conversational AI solutions, ideally involving:Agent Assist toolsDialogFlowMetadata filtering and boosting in data storesRAG architecture and evaluation strategiesPractical knowledge of LLMs (Large Language Models) in real-world use casesEnglish-speaking Available to start immediately