Remote Senior Machine Learning Engineer Job in London, UK BenchSci

Who you are

• Minimum 3, ideally 5+ years of experience working as an ML engineer
• Some experience providing technical leadership on complex projects
• Degree, preferably PhD, in Software Engineering, Computer Science, or a similar area
• Proven track record of delivering complex ML projects working alongside high performing ML, data, and software engineers using agile software development
• Mastery of several ML frameworks and libraries, with the ability to architect complex ML systems from scratch
• Extensive experience with Python and PyTorch
• Experience with the full ML development lifecycle from architecture and technical design, through data collection and preparation, model selection, training, fine-tuning and evaluation, to deployment and maintenance
• Familiarity with implementing solutions leveraging Large Language Models, as well as a deep understanding of how to implement solutions using Retrieval Augmented Generation (RAG) architecture
• Experience with graph machine learning (i.e. graph neural networks, graph data science) and practical applications thereof
• Experience working with Knowledge Graphs, ideally biological, and a familiarity with biological ontologies
• Experience with complex problem solving and an eye for details such as scalability and performance of a potential solution
• Comprehensive knowledge of software engineering, programming fundamentals, and industry experience using Python
• Experience with data manipulation and processing, such as SQL, Cypher, or Pandas
• A proactive and assertive attitude that aligns with a culture of freedom and responsibility
• Experience working in cross-functional teams with product managers, scientists, project managers, and engineers from other disciplines (e.g. data engineering)
• Outstanding verbal and written communication skills
• Growth mindset and continuous engagement with the ML/AI community

Desirables

• Having worked in the scientific/biological domain with scientists
• Ability to explain complex technical concepts to non-engineering stakeholders

What the job involves

• Help design and implement ML-based approaches to analyse, extract, and generate knowledge from complex biomedical data
• Collaborate with team members to apply state of the art ML and graph ML/data science algorithms to enrich BenchSci’s knowledge graph
• Deliver robust, scalable, and production-ready ML models, focusing on performance and efficiency

Application process

• This information is not provided.