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- Tasks: Join our AI team to innovate legal tech using machine learning and NLP.
- Company: Definely is a fast-growing startup revolutionising the legal services market with top-tier clients.
- Benefits: Enjoy competitive salary, hybrid working, ongoing learning, and generous time off.
- Why this job: Be part of a high-performance culture where your ideas drive real impact in legal technology.
- Qualifications: Strong ML and NLP expertise, experience with AWS, and collaboration skills are essential.
- Other info: Work in a vibrant London office with flexible hours and top-quality equipment.
The predicted salary is between 43200 - 72000 £ per year.
About the role
We are looking for aSenior 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).
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Senior ML Engineer employer: The New York Times
Contact Detail:
The New York Times Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer
✨Tip Number 1
Familiarise yourself with the latest advancements in NLP and machine learning. Being able to discuss recent breakthroughs or methodologies during your interview can demonstrate your passion and expertise in the field.
✨Tip Number 2
Showcase your experience with LLM agents and multi-agent systems. Prepare specific examples of projects where you've designed or deployed these systems, as this will highlight your relevant skills and make you stand out.
✨Tip Number 3
Emphasise your collaboration skills. Since this role involves working closely with cross-functional teams, be ready to share instances where you've successfully communicated complex technical concepts to non-technical stakeholders.
✨Tip Number 4
Stay proactive in your approach. Be prepared to discuss how you've identified and solved performance bottlenecks in previous roles, as this aligns with the company's focus on continuous improvement and innovation.
We think you need these skills to ace Senior ML Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning and natural language processing. Include specific projects where you've designed or deployed LLM agents or multi-agent systems, as this is crucial for the role.
Craft a Compelling Cover Letter: In your cover letter, express your passion for legal technology and how your skills align with the company's mission. Mention any relevant experience with AWS, Docker, or Kubernetes, and how you can contribute to their innovative projects.
Showcase Collaboration Skills: Emphasise your ability to work with cross-functional teams. Provide examples of past collaborations where you successfully communicated complex technical concepts to non-technical stakeholders.
Highlight Continuous Learning: Mention any recent courses, certifications, or conferences related to NLP or machine learning that you've attended. This shows your commitment to staying current with industry trends and your proactive approach to professional development.
How to prepare for a job interview at The New York Times
✨Showcase Your NLP Expertise
Be prepared to discuss your experience with natural language processing in detail. Highlight specific projects where you've implemented state-of-the-art methodologies and how they contributed to product innovation.
✨Demonstrate Collaboration Skills
Since the role involves working closely with cross-functional teams, share examples of how you've successfully collaborated with data scientists, software engineers, and product managers in previous roles.
✨Stay Updated on Trends
Research the latest trends in machine learning and NLP before the interview. Being able to discuss recent breakthroughs or technologies like Retrieval-Augmented Generation (RAG) will show your proactive approach and passion for the field.
✨Prepare for Technical Questions
Expect technical questions related to LLM agents and multi-agent systems. Brush up on your knowledge of AWS, Docker, and Kubernetes, as well as any experience you have with knowledge graphs and graph database performance.
