About the role
We are looking for a Senior Machine Learning Engineer to join our AI team and help us build cutting edge legal solutions for some of the world's largest law firms. In this role, you will leverage your deep expertise in machine learning, natural language processing, and large language model (LLM) agents to push the boundaries of legal technology. You'll be collaborating closely 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 our core product and explore new use cases.
Cross Functional Collaboration: 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.
Strategic Innovation: 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.
About You
Machine Learning & NLP Expertise: Strong understanding of machine learning and natural language processing with relevant commercial experience in building and deploying NLP solutions.
Cloud & Containerization Skills: Experience with the AWS cloud platform and containerization technologies (e.g., Docker, Kubernetes).
Collaboration & Communication: Strong collaboration and communication skills to work effectively with cross functional teams and articulate technical concepts to non technical stakeholders.
Proactivity & Continuous Improvement: Proactive in identifying problems, performance bottlenecks, and areas for improvement while taking pride in building and operating scalable, reliable, and secure systems.
LLM Agents & Multi Agent 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.
Nice to have:
Most importantly, if you're someone with a can do attitude who is willing to get their hands dirty to help us exceed our wildest expectations, then please do not hesitate to apply.
What we offerCompetitive Salary
Impact & Growth
High Performance Culture
Prestigious Partnerships
Prime London Location & Hybrid Flexibility
Ongoing Learning & Development
Time Off
Pension Plan
Private Healthcare
Flexible Working
Enhanced Parental Leave
Cycle to Work Scheme
Workplace Nursery Scheme
Top Quality Equipment
Named in the top 25 of the prestigious Deloitte UK Technology Fast50 in 2023, as well as the EMEA Technology Fast 500, Definely is a fast growing, venture backed company transforming the $900bn global legal services market. Our customers include some of the world's top law firms, financial institutions, and multinational corporations such as Allen & Overy, Dentons, and Deloitte. We are backed by prominent investors and VCs, including Octopus Ventures, Raine Ventures, Microsoft, Google for Startups, and Nick Jenkins (founder of Moonpig and former Dragon).
By submitting your application, you agree that DEFEYENE LEGAL SOLUTIONS LIMITED ("Definely") may collect, process, and store your personal data as part of our recruitment process. We will use the information you provide to assess your qualifications for the role you are applying for and to communicate with you regarding your application. Your personal data will be stored for up to 12 months, after which it will be securely deleted unless we have another lawful basis to retain it. You have the right to access, correct, or request the deletion of your data at any time. For more details on how we handle your personal data and your rights, please send us an email to and we will send you our privacy policy.
If you have any concerns about how your data is being processed, please do not hesitate to contact us.