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:

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

‍

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 offer

Competitive Salary

We offer a highly competitive salary that reflects your 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

Work in a truly meritocratic environment alongside ambitious, driven professionals who push each other to excel.

Prestigious Partnerships‍

Collaborate with some of the world’s top law firms, financial institutions, and multinational corporations.

Prime London Location & Hybrid Flexibility‍

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!

Ongoing Learning & Development‍

Access top-tier training, mentorship, and continuous support to advance your career.

Time Off‍

Enjoy 25 days of holiday per year, plus UK bank holidays, to recharge and unwind.

Pension Plan‍

Secure your future with our competitive pension scheme.

Private Healthcare‍

Access to Vitality healthcare, including dental and optical.

Flexible Working‍

Work in a way that suits your lifestyle, with the freedom to balance professional and personal priorities.

Enhanced Parental Leave

We support working parents with generous parental leave policies that go far beyond statutory requirements.

Cycle to Work Scheme‍

Save on a new bike and accessories while promoting a healthier, more sustainable commute.

Workplace Nursery Scheme‍

Saving working parents lots of money through our salary sacrifice scheme!

Top-Quality Equipment‍

Get the tools you need to perform at your best, from cutting-edge tech to ergonomic office setups.

About Definely

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).

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.

Never miss a new opportunity

Black-owned jobs

Senior Machine Learning Engineer