Software Engineer – Natural Language Search and AI Integration at EMBL

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• 🏢 EMBL has 15 jobs here, 15 with visa sponsorship see all
• 🛂 Skilled Worker visa. Standard minimum salary: £41,700 a year guide
• 💡 No salary shown. Ask EMBL if it is above the minimum.

Updated 2026-11-05, from our data and official sources.

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About the role

Responsibilities:
- Design, develop, and deploy prototype services that enable natural-language queries (NLQ) across EBI metadata and selected specialized searches (sequence, chemical, etc.).
- Implement MCP-based endpoints to expose search capabilities to AI agents and enable agent-driven workflows.
- Build a central NLQ entry point that integrates metadata search, specialized modalities, multilingual support, and text summarization.
- Integrate with search platforms (Lucene/SOLR, Elasticsearch) and ensure interoperability, scalability, and sustainability.
- Engage the user community: organise workshops, run surveys and UX testing, and iterate on requirements with researchers and curators.
- Collaborate with EMBL-EBI teams and external partners to deliver production-ready prototypes and documentation.

Requirements:
- University degree in Computer Science, Bioinformatics, or a related discipline.
- Strong software development experience (Python, Java, or similar) and familiarity with search technologies (Lucene/SOLR, Elasticsearch).
- Knowledge or experience with NLP, LLMs, conversational AI frameworks, and metadata indexing/search design.
- Experience with or willingness to adopt AI agent standards such as the Model Context Protocol (MCP).
- Demonstrated ability to work with scientific communities, run UX testing, and translate user needs into technical solutions.
- Excellent communication and collaboration skills; interest in biological data resources is a plus.

Responsibilities

You will design and deploy prototype services to enable natural language queries across EBI metadata and specialized search modalities. Additionally, you will implement MCP-based services to integrate search endpoints with modern AI agents while collaborating with technical teams and the user community.

Requirements

Candidates must hold a university degree in computer science, bioinformatics, or a related field and possess strong software development experience. Proficiency in search technologies, AI agent standards like MCP, and the ability to translate user requirements into technical solutions are essential.

Key skills

• Software engineering — in 194 other listings on The Stack
• Python — in 1200 other listings on The Stack
• Java — in 360 other listings on The Stack
• Lucene — in 1 other listing on The Stack
• SOLR — in 5 other listings on The Stack
• Elasticsearch — in 48 other listings on The Stack
• Natural language processing — in 19 other listings on The Stack
• Large language models — in 46 other listings on The Stack
• Conversational AI
• Model Context Protocol
• Bioinformatics
• Metadata management
• UX testing
• API development
• Technical communication

On The Stack (as of 2026-11-05)

• EMBL has 14 other listings on The Stack, 14 of them marked as offering visa sponsorship.
• 214 visa-sponsored jobs in the United Kingdom on The Stack, posted in the last 60 days.
• 195 visa-sponsored software engineer jobs in Europe on The Stack, posted in the last 60 days.

Frequently asked questions about EMBL

Is this Software Engineer – Natural Language Search and AI Integration role still open?

It was posted on 2026-04-27. Listings more than 30 days old may no longer be active, so check EMBL's site before applying.

Does EMBL offer visa sponsorship?

This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on EMBL's site.

Where is this role located?

The listing gives the location as Hinxton, United Kingdom. It is marked on-site.

What skills does this role ask for?

The listing names: Software engineering, Python, Java, Lucene, SOLR, Elasticsearch, Natural language processing, Large language models, Conversational AI, Model Context Protocol, Bioinformatics, Metadata management, UX testing, API development, Technical communication.