At a Glance
- Tasks: Join our AI team to innovate legal tech using machine learning and NLP.
- Company: Definely is transforming legal workflows with cutting-edge technology for top law firms.
- Benefits: Enjoy competitive pay, stock options, remote work, and generous time off.
- Other info: Be part of a mission-driven team recognised among the Top 25 in Deloitte’s UK Technology Fast 50.
- Why this job: Make a real impact in a high-performance culture while collaborating with ambitious teammates.
- Qualifications: Expertise in ML, NLP, and cloud technologies; experience with LLM agents is a plus.
The predicted salary is between 48000 - 72000 £ per year.
Location
London
Employment Type
Full time
Location Type
Hybrid
Department
Technology
About the role
We are looking for a Staff 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 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.
Mentor our ML team, promoting best practices in ML/NLP development, and elevate the technical bar across teams.
What you bring:
Strategic Impact: Ability to translate complex technical opportunities into business outcomes and influence product strategy through data-driven insights and prototypes.
Bias Toward Action: Self-directed, pragmatic, and motivated by real-world impact; capable of navigating ambiguity and driving initiatives from concept to production.
Machine Learning & NLP Expertise: Strong understanding of machine learning and natural language processing with relevant commercial experience in building and deploying NLP solutions.
Experience with LangGraph for Agentic Systems
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.
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 Compensation: A salary package aligned with your experience and impact.
Meaningful Stock Options: Be rewarded for growing with the company
Annual Bonus scheme: Eligible for the company bonus scheme.
Real Impact & Growth: Be part of a scaling company where your work truly moves the needle.
High-Performance Culture: Collaborate with ambitious, high-calibre teammates who raise the bar.
Private Healthcare: Vitality healthcare, including Dental and Optical.
Generous Time Off: 25 days of annual leave plus UK public holidays.
Pension Plan: Competitive scheme to help plan for your future.
Work From Anywhere Policy: Spend up to a month a year working abroad
Enhanced Parental Leave: Inclusive policies that support working families.
Top-Quality Equipment: Modern tech and ergonomic setups to help you do your best work.
About Definely
Definely is revolutionising how legal professionals access and understand information in complex documents. Our LegalTech solutions integrate directly into legal workflows, enabling teams to draft, review, and interpret contracts more efficiently, without breaking focus.
We’re proud to be recognised among the Top 25 in Deloitte’s UK Technology Fast 50 and backed by Revaia, Microsoft, Google, and Octopus Ventures. Trusted by top firms like A&O Shearman, Dentons, Deloitte, and Barclays, we’re building tools that empower legal teams to work smarter and reduce risk.
At Definely, you’ll be part of a mission-driven, collaborative, and ambitious team committed to innovation and growth.
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 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.
Staff ML Engineer in London employer: Cornerstone VC
Definely is an exceptional employer, offering a dynamic and high-performance culture where innovation thrives. With competitive compensation, meaningful stock options, and generous time off, employees are empowered to make a real impact while enjoying a supportive work environment that prioritises growth and collaboration. Located in London, the hybrid work model allows for flexibility, making it an ideal place for talented individuals to advance their careers in the cutting-edge field of legal technology.
StudySmarter Expert Advice🤫
We think this is how you could land Staff ML Engineer in London
✨Tip Number 1
Familiarise yourself with the latest advancements in NLP and machine learning. Follow industry leaders on social media, read relevant research papers, and participate in online forums to stay updated. This knowledge will not only help you during interviews but also demonstrate your passion for the field.
✨Tip Number 2
Network with professionals in the legal tech space. Attend meetups, webinars, or conferences related to AI and machine learning in law. Building connections can lead to valuable insights and potential referrals that could give you an edge in the application process.
✨Tip Number 3
Showcase your hands-on experience with LLM agents and multi-agent systems. If you've worked on relevant projects, be prepared to discuss them in detail. Highlighting your practical skills will set you apart from other candidates who may only have theoretical knowledge.
✨Tip Number 4
Prepare to discuss how you can contribute to cross-functional collaboration. Think of examples where you've successfully worked with diverse teams to implement ML solutions. Being able to articulate your collaborative approach will resonate well with our team-oriented culture.
We think you need these skills to ace Staff ML Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in machine learning and natural language processing. Focus on specific projects where you've implemented NLP methodologies or worked with large language models, 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 Definely's mission. Mention any relevant experience with LLM agents and multi-agent systems, and demonstrate your understanding of the company's goals.
Showcase Collaboration Skills:Since the role involves cross-functional collaboration, provide examples in your application that illustrate your ability to work effectively with software engineers and product managers. Highlight any past experiences where you successfully integrated ML solutions into products.
Demonstrate Continuous Learning:Mention any recent courses, certifications, or conferences related to machine learning and NLP 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 Cornerstone VC
✨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 past collaborations. Emphasise how you effectively communicated technical concepts to non-technical stakeholders.
✨Discuss Your Proactive Approach
Illustrate your ability to identify problems and propose solutions. Provide examples of how you've navigated ambiguity and driven initiatives from concept to production, showcasing your bias toward action.
✨Stay Current with Industry Trends
Research the latest trends in machine learning and NLP before the interview. Be ready to discuss how these trends could influence the strategic direction of the company's AI initiatives and how you can contribute to that vision.
