Nexify Infosystems

AI/ML Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI/ML Engineer in Glasgow, UK, on an outside IR35 contract for 7+ years of software engineering experience. Key skills include Python, ML/NLP, generative AI, and frameworks like LangChain. Hybrid work environment.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
November 14, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Outside IR35
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🔒 - Security
Unknown
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📍 - Location detailed
Glasgow, Scotland, United Kingdom
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🧠 - Skills detailed
#Monitoring #Model Evaluation #Transformers #ML (Machine Learning) #HBase #Programming #Cloud #Deployment #MLflow #Generative Models #NLP (Natural Language Processing) #Data Pipeline #React #TensorFlow #Observability #"ETL (Extract #Transform #Load)" #AI (Artificial Intelligence) #Python #FastAPI #PyTorch #AWS (Amazon Web Services) #Scala #Langchain
Role description
Position: AI/ML Engineer Location: Glasgow, UK (Hybrid) Duration: Outside IR35 Contract Required Qualifications • 7+ years in software engineering or applied ML building real-world AI/ML systems; strong Python proficiency and backend development expertise. • Hands-on experience building GenAI apps with LangChain and LangGraph, including agent design, state/memory management, and graph-based orchestration. • Proficiency in ML/NLP and generative models; experience with embeddings, vector stores, RAG, and LLM integration/fine-tuning (OpenAI, LLaMA, Cohere, etc.) • Strong coding in Python and experience with frameworks/tools such as FastAPI, PyTorch/TensorFlow, MLflow; solid understanding of software engineering fundamentals and secure development. • Experience with AI agent frameworks and MCP; familiarity with agent observability (LangSmith/LangFuse) and agentic RAG patterns • Track record of delivering scalable, production AI systems and collaborating across teams. • Experience with agent frameworks (AutoGen, CrewAI), tool-use ecosystems, and advanced planning/reasoning strategies • Knowledge of cloud platforms (AWS), MLOps, and data pipelines; React.js familiarity is a plus. • Exposure to enterprise environments and secure, compliant deployments Key Skills • Programming: Python; backend APIs (FastAPI) • AI/ML: ML/NLP, generative AI, embeddings, model evaluation • Frameworks: LangChain, LangGraph; plus LlamaIndex, PyTorch, TensorFlow, MLflow • Architectures: RAG, Transformers, OCR • Agents: Design and orchestration, memory/state management, tool integration; MCP and agent-to-agent protocols • Observability: LangSmith/LangFuse for agent monitoring