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- Tasks: Join our AI team to innovate legal tech with machine learning and NLP.
- Company: Fast-growing startup transforming the legal services market.
- Benefits: Competitive salary, hybrid work, 25 days holiday, and private healthcare.
- Why this job: Make a real impact by collaborating with top law firms and using cutting-edge technology.
- Qualifications: Expertise in machine learning, NLP, and experience with AWS and containerization.
- Other info: Dynamic environment with excellent growth opportunities and ongoing learning support.
The predicted salary is between 43200 - 72000 £ per year.
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.
- 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).
Senior Machine Learning Engineer employer: Cornerstone VC
Contact Detail:
Cornerstone VC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the legal tech space and let them know you're on the lookout for opportunities. A friendly chat can lead to referrals that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those involving NLP and LLMs. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for the technical grill! Brush up on your ML and NLP knowledge, and be ready to discuss your past projects in detail. Practising common interview questions can help you feel more confident.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about joining our team!
We think you need these skills to ace Senior Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Machine Learning Engineer role. Highlight your experience with machine learning, NLP, and any relevant projects that showcase your skills. We want to see how you can contribute to our AI team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about legal tech and how your background aligns with our mission at StudySmarter. Let us know what excites you about this opportunity!
Showcase Your Collaboration Skills: Since this role involves working closely with cross-functional teams, make sure to highlight your collaboration and communication skills in your application. We love candidates who can articulate technical concepts clearly to non-technical folks!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, we can’t wait to hear from you!
How to prepare for a job interview at Cornerstone VC
✨Know Your NLP Inside Out
Make sure you brush up on the latest trends and methodologies in natural language processing. Be ready to discuss specific projects where you've implemented these techniques, especially in a legal context, as this will show your deep expertise and relevance to the role.
✨Showcase Your Collaboration Skills
Since this role involves working closely with data scientists, software engineers, and product managers, prepare examples of how you've successfully collaborated in cross-functional teams. Highlight your communication skills and how you've articulated complex technical concepts to non-technical stakeholders.
✨Demonstrate Proactivity
Be prepared to discuss instances where you've identified problems or performance bottlenecks in previous projects. Share how you took the initiative to resolve these issues and improve systems, showcasing your proactive mindset and commitment to continuous improvement.
✨Familiarise Yourself with Emerging Technologies
Research technologies like Retrieval-Augmented Generation (RAG) and Knowledge Graphs, as they are mentioned in the job description. Be ready to discuss how you would integrate these into existing products and any relevant experience you have with them.
