

Oscar
Artificial Intelligence Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Artificial Intelligence Engineer on a 6-month contract in London, offering £400-500 per day. Key skills include advanced Python, LLMs, Generative AI, and NLP. Experience in regulated domains and deploying AI solutions is essential.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
Unknown
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🗓️ - Date
January 14, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Inside IR35
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🔒 - Security
Unknown
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📍 - Location detailed
London
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🧠 - Skills detailed
#AWS (Amazon Web Services) #Monitoring #Scala #NLP (Natural Language Processing) #Cloud #Transformers #Sentiment Analysis #GCP (Google Cloud Platform) #MLflow #Model Evaluation #ML (Machine Learning) #BERT #OpenSearch #Python #Langchain #AI (Artificial Intelligence) #Azure #"ETL (Extract #Transform #Load)" #Observability #Databases
Role description
Artificial Intelligence Engineer | 6 Month Contract (OIR35) | London
We're working with a forward-thinking organisation that is investing heavily in Generative AI, LLMs and agentic AI systems. They are looking for an experienced AI Engineer to design, build and deploy production-grade AI solutions that sit at the heart of real business workflows.
This is a hands-on contract role suited to someone who has delivered RAG pipelines, multi-agent systems and NLP-driven applications in live environments, ideally within complex or regulated domains.
Location: London (2 days onsite)
Contract: 6 Months (OIR35)
Rate: £400-500 p/day
Key Skills:
• Strong commercial experience as an AI Engineer / ML Engineer / Applied AI Scientist
• Advanced Python experience for ML and AI development
• Hands-on experience with LLMs & Generative AI, including:
• Retrieval-Augmented Generation (RAG)
• Prompt & context engineering
• Agentic / multi-agent architectures
• Experience with frameworks such as LangChain, LangGraph, LangSmith or similar
• Solid NLP background (tokenisation, embeddings, transformers, BERT-style models, sentiment analysis)
• Experience integrating vector databases (e.g. Azure AI Search, OpenSearch, Pinecone, Weaviate)
• Cloud experience on Azure, AWS or GCP
• Familiarity with MLflow, model evaluation frameworks, observability & monitoring
• Strong understanding of deploying AI systems into real-world production environments
Key Responsibilities:
• Design and build Generative AI solutions using LLMs, RAG architectures and agent-based workflows
• Develop and orchestrate multi-agent AI systems (e.g. supervisor and specialist agents)
• Implement retrieval pipelines using vector databases to ground LLM responses
• Build and optimise NLP pipelines for sentiment analysis, intent detection and document understanding
• Deploy AI/ML models into production using cloud-native architectures
• Implement MLOps best practices including CI/CD, monitoring, observability and evaluation
• Work closely with engineering, product and data teams to translate business problems into AI solutions
• Ensure solutions are scalable, interpretable and production-ready
If this sounds like you, apply now!
Oscar Associates (UK) Limited is acting as an Employment Business in relation to this vacancy.
To understand more about what we do with your data please review our privacy policy in the privacy section of the Oscar website.
Artificial Intelligence Engineer | 6 Month Contract (OIR35) | London
We're working with a forward-thinking organisation that is investing heavily in Generative AI, LLMs and agentic AI systems. They are looking for an experienced AI Engineer to design, build and deploy production-grade AI solutions that sit at the heart of real business workflows.
This is a hands-on contract role suited to someone who has delivered RAG pipelines, multi-agent systems and NLP-driven applications in live environments, ideally within complex or regulated domains.
Location: London (2 days onsite)
Contract: 6 Months (OIR35)
Rate: £400-500 p/day
Key Skills:
• Strong commercial experience as an AI Engineer / ML Engineer / Applied AI Scientist
• Advanced Python experience for ML and AI development
• Hands-on experience with LLMs & Generative AI, including:
• Retrieval-Augmented Generation (RAG)
• Prompt & context engineering
• Agentic / multi-agent architectures
• Experience with frameworks such as LangChain, LangGraph, LangSmith or similar
• Solid NLP background (tokenisation, embeddings, transformers, BERT-style models, sentiment analysis)
• Experience integrating vector databases (e.g. Azure AI Search, OpenSearch, Pinecone, Weaviate)
• Cloud experience on Azure, AWS or GCP
• Familiarity with MLflow, model evaluation frameworks, observability & monitoring
• Strong understanding of deploying AI systems into real-world production environments
Key Responsibilities:
• Design and build Generative AI solutions using LLMs, RAG architectures and agent-based workflows
• Develop and orchestrate multi-agent AI systems (e.g. supervisor and specialist agents)
• Implement retrieval pipelines using vector databases to ground LLM responses
• Build and optimise NLP pipelines for sentiment analysis, intent detection and document understanding
• Deploy AI/ML models into production using cloud-native architectures
• Implement MLOps best practices including CI/CD, monitoring, observability and evaluation
• Work closely with engineering, product and data teams to translate business problems into AI solutions
• Ensure solutions are scalable, interpretable and production-ready
If this sounds like you, apply now!
Oscar Associates (UK) Limited is acting as an Employment Business in relation to this vacancy.
To understand more about what we do with your data please review our privacy policy in the privacy section of the Oscar website.






