Senior ML Engineer
New Yesterday
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.
- 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.
- Experience with knowledge graphs like Neo4j
- Experience in optimising graph database performance and ensuring the scalability of graph-based solutions.
- Experience with LangGraph for Agentic Systems
What we offer:
Competitive Salary
- We offer a highly competitive salary that reflects your skills, experience, and contributions.
- Join a fast-growing startup where your ideas matter; experiment, innovate, and see your work come to life.
- Work in a truly meritocratic environment alongside ambitious, driven professionals who push each other to excel.
- Collaborate with some of the world's top law firms, financial institutions, and multinational corporations.
- Enjoy a vibrant office in the heart of Aldgate with the option to work in a hybrid environment. We tend to come into the office 2-3 times a week, although you can come in more!
- Access top-tier training, mentorship, and continuous support to advance your career.
- Enjoy 25 days of holiday per year, plus UK bank holidays, to recharge and unwind.
- Secure your future with our competitive pension scheme.
- Access to Vitality healthcare, including dental and optical.
- Work in a way that suits your lifestyle, with the freedom to balance professional and personal priorities.
- We support working parents with generous parental leave policies that go far beyond statutory requirements.
- Save on a new bike and accessories while promoting a healthier, more sustainable commute.
- Saving working parents lots of money through our salary sacrifice scheme!
- Get the tools you need to perform at your best, from cutting-edge tech to ergonomic office setups.
At Definely, we're on a mission to simplify the way legal professionals access and understand complex information in legal documents. Trusted by a global community of customers, our LegalTech solutions integrate seamlessly into lawyers' daily workflows, making it easier to draft, review and navigate even the most complex contracts.
Our products provide instant access to essential information, enabling legal teams to review clauses and provisions in context, reduce risk and work more efficiently - all without disrupting their flow. At Definely, we're dedicated to solving real challenges faced by legal professionals.
Joining Definely means becoming part of a forward-thinking, collaborative team that prioritises innovation and people. We create a supportive environment driven by a shared commitment to connection, growth and success.
Recognised in the top 25 of Deloitte's prestigious UK Technology Fast50 in 2023 and backed by Microsoft, Google and Octopus Ventures, we're trusted by leading law firms and in-house legal teams, including A&O Shearman, Dentons, Deloitte, and Barclays, to streamline their workflows and mitigate risks.
Data Privacy Notice
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 hr@definely.com and we will send your our privacy policy.
If you have any concerns about how your data is being processed, please do not hesitate to contact us. #J-18808-Ljbffr
- Location:
- London, England, United Kingdom
- Salary:
- £150,000 - £200,000
- Category:
- IT & Technology
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