

AI Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Engineer on a contract basis in London, UK (Hybrid). Key requirements include experience with API integration, ML/AI solutions, NLP techniques, and familiarity with RAG architectures and LLMs. Pay rate is competitive.
π - Country
United Kingdom
π± - Currency
Β£ GBP
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π° - Day rate
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ποΈ - Date discovered
September 5, 2025
π - Project duration
Unknown
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ποΈ - Location type
Hybrid
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
London Area, United Kingdom
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π§ - Skills detailed
#NER (Named-Entity Recognition) #API (Application Programming Interface) #Databases #REST (Representational State Transfer) #Langchain #Azure #ML (Machine Learning) #Libraries #Classification #Kafka (Apache Kafka) #NLP (Natural Language Processing) #Debugging #AI (Artificial Intelligence)
Role description
Role: AI Engineer
Location: London, UK (Hybrid)
Type: Contract Position
Please find below JD:
1. Solid understanding of API integration patterns and inter-servic communication (e.g. REST, Kafka)
1. Experience with authentication and authorization mechanisms (e.g. OAuth2, JWT, Azure AD)
1. At least two ML/AI solutions delivered to production, ideally involving document understanding, NLP or search/retrieval systems
1. Practical knowledge and hands-on experience with: RAG architectures, LLMs (e.g., OpenAI, Antropic), Vector databases (e.g., FAISS, Azure AI Search), Embeddings (e.g., OpenAI)
1. Strong grasp of NLP techniques: named entity recognition (NER), document classification, chunking, summarization, question answering.
1. Ability to evaluate trade-offs and select appropriate ML/AI techniques for a given problem.
1. Experience with PoC development and iterating quickly based on results.
1. Familiarity with LangChain, LlamaIndex, or similar agentic frameworks.
1. Strong debugging, profiling, and optimization skills for AI applications.
β’ GOOD TO HAVE JD SKILLS as below
β’ Experience with OCR libraries like Tesseract or Azure Form Recognizer.
Role: AI Engineer
Location: London, UK (Hybrid)
Type: Contract Position
Please find below JD:
1. Solid understanding of API integration patterns and inter-servic communication (e.g. REST, Kafka)
1. Experience with authentication and authorization mechanisms (e.g. OAuth2, JWT, Azure AD)
1. At least two ML/AI solutions delivered to production, ideally involving document understanding, NLP or search/retrieval systems
1. Practical knowledge and hands-on experience with: RAG architectures, LLMs (e.g., OpenAI, Antropic), Vector databases (e.g., FAISS, Azure AI Search), Embeddings (e.g., OpenAI)
1. Strong grasp of NLP techniques: named entity recognition (NER), document classification, chunking, summarization, question answering.
1. Ability to evaluate trade-offs and select appropriate ML/AI techniques for a given problem.
1. Experience with PoC development and iterating quickly based on results.
1. Familiarity with LangChain, LlamaIndex, or similar agentic frameworks.
1. Strong debugging, profiling, and optimization skills for AI applications.
β’ GOOD TO HAVE JD SKILLS as below
β’ Experience with OCR libraries like Tesseract or Azure Form Recognizer.