Machine Learning Systems Research Intern at Red Hat working on AI inference and model optimization techniques. Collaborating with experts in the field while gaining hands - on experience in applied ML research.
About the role
- Senior Machine Learning Engineer contributing to AI-driven legal solutions for major law firms. Collaborating with cross-functional teams to innovate NLP methodologies and enhance core products.
Responsibilities
- Research, evaluate, and implement state-of-the-art NLP methodologies and large language model approaches to drive product innovation and develop new functionalities.
- Design, develop, and deploy LLM agents and multi-agent systems to automate complex legal workflows and enhance user experiences.
- Collaborate on projects that leverage emerging technologies - such as Retrieval-Augmented Generation (RAG) and Knowledge Graphs - to enhance our core product and explore new use cases.
- Work closely with cross-functional teams to integrate advanced ML models and NLP solutions into our platform, ensuring they align with business objectives and provide tangible value.
- Stay current with the latest trends and breakthroughs in NLP, machine learning, and multi-agent systems, and contribute ideas that shape the strategic direction of our AI initiatives.
Requirements
- Strong understanding of machine learning and natural language processing with relevant commercial experience in building and deploying NLP solutions.
- Experience with the AWS cloud platform and containerization technologies (e.g., Docker, Kubernetes).
- Strong collaboration and communication skills to work effectively with cross-functional teams and articulate technical concepts to non-technical stakeholders.
- Proactive in identifying problems, performance bottlenecks, and areas for improvement while taking pride in building and operating scalable, reliable, and secure systems.
- Proven experience in designing, deploying, and scaling large language model (LLM) agents and multi-agent systems to enhance NLP capabilities and automate complex workflows.
Benefits
- 💰 Competitive salary & annual bonus
- 📈 Equity in Definely
- 🎉 Quarterly team socials & annual company offsite
- 🏠 Hybrid working (Tues & Thurs in-office) + 🌍 1 month “work from anywhere”
- 🏖️ 25 days holiday + bank holidays
- 📚 £750 annual learning & development budget
- 🩺 Private healthcare (incl. dental & optical)
- 👶 Enhanced parental leave
- 🚲 Additional perks: Cycle to Work, Workplace Nursery salary sacrifice scheme, and top-quality equipment
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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