DescriptionSenior Machine Learning Engineer
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Role details
Tech stack
Job description
We’re looking for a Senior Machine Learning Engineer to build and deploy production-grade NLP and LLM solutions. You’ll work with high-value, sensitive data and play a key role in the automation of complex document workflows that support global commerce.
What You’ll Do
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Design and deploy LLM and transformer-based models for document classification and key data extraction
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Build automated ML pipelines for model training, testing, and deployment
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Engineer robust APIs and integrate models into scalable backend systems
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Experiment with GenAI techniques and fine-tuning strategies
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Collaborate with product, infrastructure, and compliance teams to deliver real-world results
Requirements
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5+ years’ ML experience with strong Python skills
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Experience with NLP, LLMs, and prompt engineering
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Familiarity with LangChain, Semantic Kernel, or AutoGen
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OCR/document layout modelling experience
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Cloud-native deployment experience (AWS, Azure, or GCP)
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Strong engineering mindset - writing production-grade, scalable code
Bonus Points For
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Experience in fintech, legal tech, insurance or regulated environments
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Understanding of document-heavy workflows
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Ability to take ownership and work autonomously in a fast-paced environment, Senior (5+ years of experience)
Tagged as: Classification, Document Classification, Industry, NLP, OCR, United Kingdom
Benefits & conditions
Salary: GBP 72000 - 168000 per year
Experience: 5 years required
About the company
Join a high-growth, AI-first scale-up transforming one of the world’s most document-intensive sectors. Backed by recent multi-million-pound funding and led by senior technologists from tech unicorns, this is an opportunity to build real-world GenAI products that make a measurable impact., Avanti, Avanti Energy focuses on the business of exploration and acquisition of the oil and gas business.
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