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Senior AI Engineer, NLP, LLMs, ML - drug discovery - London

Richard Wheeler Associates
Job LocationLondon
EducationNot Mentioned
SalarySalary negotiable
IndustryNot Mentioned
Functional AreaNot Mentioned
Job TypePermanent, full-time

Job Description

Senior AI Engineer, Machine Learning, NLP, Large Language Models, BiotechWest London - office based 4 days per weekHighly competitive salary + BUPA + discretionary BonusWe’re looking for an MSc / PhD level AI Engineer / AI Scientist. An Artificial Intelligence / Machine Learning, LLM expert, with 9+ years of experience in academia AND industry, to contribute to a transformational change in the way drug discovery is donewith a high growth, fast-paced biotechnology company.The successful candidate will specialise in NLP / Large Language Models bringing in-depth expertise - real problem-solving under the bonnet’ knowhow of LLMs eg. GPT-4, Claude, Huggingface, LLaMA, LangChain, LlamaIndex, Pinecone etc.You’ll be skilled in adapting and debugging ML systems across different environments, interested in all aspects of machine learning, such as parameter efficient adaptation of large language and vision models. With ideas about productionizing ML systems,long context text summarization, production-grade ML systems etc.In short, you will have acquired special expertise in Transformers, be experienced with API wrappers like LangChain and Auto-GPT, have experience in evaluating LLMs and prompt engineering, semantic search, MLOps, and embedding-based fine tuning of NLP modelssuch as those in Sentence Transformers.You will need:

  • MSc/PhD and post-doctoral industry experience, in AI/Machine Learning, Textual Analysis/Natural Language Processing and Transformer technology/Large Language Models
  • Experience in NLP and Large Language Models, eg. GPT-4, Claude, Huggingface, LLaMA, LangChain, LlamaIndex, Pinecone
  • Proven track record of contributions to large AI domain software and data engineering projects relevant to the life sciences, ideally in drug discovery, preferably in a biotech start-up environment
  • Good knowledge of cloud computing environments is essential with a preference for AWS
  • Preferably industry experience in Life Sciences, Biotech
  • Self-aware with intuition, gravitas, naturally strong leadership and listening skills
Knowledge in several of the following will be advantageous:
  • AI/ML approaches to problems in the Life Sciences
  • Engineering and data solutions to support bioinformatic workflow design and development, with a focus on ML/AI applications
  • An understanding of data management techniques for large-scale scientific data sets
  • Programming skills in Java, C/C++, R or Python
  • SOA NLP APIs and Machine Learning / Deep Learning frameworks
  • Experience of translating user requirements into workflow designs/specifications
  • Experience building and optimising data processing pipelines e.g., Nextflow/Nextflow Tower, SQL/NoSQL
  • Experience with graph databases
  • Network Science and modern statistical methods would be a big plus’
You will be one of a handful of talented senior AI Engineers and Scientists working on a groundbreaking project to develop and implement AI-driven innovations, supporting the implementation of next generation computational drug discovery and siRNA platforms.Some of the wider benefits:Highly competitive salary, BUPA for self + partner/family, high discretionary bonus, 10% employer pension contributionRequired skills
  • Artificial Intelligence
  • Biotechnology
  • Cloud Computing
  • Machine Learning
  • Natural Language Processing
  • Python
  • Textual Analysis
  • Transformer
  • Lifesciences
  • BERT

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