Overview

We are hiring a Senior Machine Learning Engineer to join our AI team and build cutting-edge legal solutions for some of the world’s largest law firms. You will leverage deep expertise in machine learning, natural language processing, and large language model (LLM) agents to push the boundaries of legal technology. You’ll collaborate with data scientists, software engineers, and product managers to integrate advanced NLP techniques into our products.

What You’ll Do

• Innovative NLP Research: Research, evaluate, and implement state-of-the-art NLP methodologies and large language model approaches to drive product innovation and develop new functionalities.
• LLM Agents & Multi-Agent Systems: Design, develop, and deploy LLM agents and multi-agent systems to automate complex legal workflows and enhance user experiences.
• Advanced Technology Integration: Collaborate on projects that leverage emerging technologies such as Retrieval-Augmented Generation (RAG) and Knowledge Graphs to enhance core products and explore new use cases.
• Cross-Functional Collaboration: Work with cross-functional teams to integrate ML models and NLP solutions into the platform, aligning with business objectives and delivering tangible value.
• Strategic Innovation: Stay current with NLP, ML, and multi-agent system trends and contribute ideas that shape the strategic direction of AI initiatives.

What You Bring

• Machine Learning & NLP Expertise: Strong understanding of ML and NLP with relevant commercial experience in building and deploying NLP solutions.
• Cloud & Containerization: Experience with AWS and containerization technologies (e.g., Docker, Kubernetes).
• Collaboration & Communication: Ability to work with cross-functional teams and articulate technical concepts to non-technical stakeholders.
• Proactivity & Continuous Improvement: Proactive in identifying problems, bottlenecks, and areas for improvement while building scalable, reliable, and secure systems.
• LLM Agents & Multi-Agent Systems: Proven experience designing, deploying, and scaling LLM agents and multi-agent systems to enhance NLP capabilities and automate complex workflows.

Nice to Have

• Experience with knowledge graphs such as Neo4j
• Experience optimizing graph database performance and ensuring scalability of graph-based solutions
• Experience with LangGraph for Agentic Systems

What We Offer

• Competitive salary reflecting skills, experience, and contributions

Impact & Growth

• Join a fast-growing startup where your ideas matter; experiment, innovate, and see your work come to life.

High-Performance Culture

• Meritocratic environment with ambitious professionals who push each other to excel.
• Collaborate with some of the world’s top law firms, financial institutions, and multinational corporations.
• Hybrid office in Aldgate with typical in-office 2–3 days per week, more if you prefer.
• Access top-tier training, mentorship, and ongoing career support.

Benefits & Perks

• 25 days of holiday per year, plus UK bank holidays
• Competitive pension plan and Vitality healthcare (including dental and optical)
• Flexible working to balance professional and personal priorities
• Enhanced parental leave policies beyond statutory requirements
• Cycle to work scheme
• Workplace nursery salary sacrifice scheme
• Top-quality equipment and ergonomic office setups

About Definely

At Definely, we simplify how legal professionals access and understand complex information in legal documents. Trusted by a global customer base, our LegalTech solutions integrate into lawyers’ daily workflows to draft, review, and navigate contracts more efficiently while reducing risk. We are a forward-thinking, collaborative team that prioritises innovation and people.

We are recognised in the Deloitte UK Technology Fast50 (top 25) for 2023 and backed by Microsoft, Google, and Octopus Ventures. Our clients include leading law firms and in-house teams, who rely on Definely to streamline workflows and mitigate risk.

Data Privacy Notice

By submitting your application, you agree that Definely may collect, process, and store your personal data as part of our recruitment process. Your data will be used to assess your qualifications and to communicate with you regarding your application. Data may be stored for up to 12 months and then deleted unless there is another lawful basis to retain it. You have the right to access, correct, or request deletion of your data at any time. For details on how we handle personal data and your rights, please contact hr@definely.com. We will provide the privacy policy upon request.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Software Development

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