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For Companies At a Glance
- Tasks: Join our AI team to innovate legal tech with machine learning and NLP.
- Company: Fast-growing startup transforming the global legal services market.
- Benefits: Competitive salary, hybrid work, 25 days holiday, and ongoing learning opportunities.
- 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 career growth and mentorship.
The predicted salary is between 48000 - 84000 ÂŁ per year.
We are looking for a Senior Machine Learning Engineer to join our AI team and help us build cuttingâedge 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 Youâll Do
- Innovative NLP Research: Research, evaluate, and implement stateâofâtheâart NLP methodologies and large language model approaches to drive product innovation and develop new functionalities.
- LLM Agents & MultiâAgent Systems: Design, develop, and deploy LLM agents and multiâagent systems to automate complex legal workflows and enhance user experiences.
- Advanced Technology Integration: Collaborate on projects that leverage emerging technologies â such as RetrievalâAugmented Generation (RAG) and Knowledge Graphs â to enhance our core product and explore new use cases.
- CrossâFunctional Collaboration: Work closely with crossâfunctional 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 multiâagent 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 crossâfunctional teams and articulate technical concepts to nonâtechnical 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 & MultiâAgent Systems: Proven experience in designing, deploying, and scaling large language model (LLM) agents and multiâagent 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 graphâbased solutions.
- Experience with LangGraph for Agentic Systems
Most importantly, if you're someone with a canâdo 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 fastâgrowing startup where your ideas matter; experiment, innovate, and see your work come to life.
- HighâPerformance 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 topâtier 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!
- TopâQuality Equipment: Get the tools you need to perform at your best, from cuttingâedge 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 fastâgrowing, ventureâbacked 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 in London employer: Cornerstone VC
Contact Detail:
Cornerstone VC Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Senior Machine Learning Engineer in London
â¨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with professionals on platforms like LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
â¨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those involving NLP and LLMs. This gives potential employers a tangible sense of what you can bring to the table.
â¨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to machine learning and NLP. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with cross-functional teams.
â¨Tip Number 4
Don't forget to apply through our website! Itâs the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team at StudySmarter.
We think you need these skills to ace Senior Machine Learning Engineer in London
Some tips for your application đŤĄ
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. Be genuine and let your personality come through!
Showcase Your Projects: If you've worked on any cool projects involving LLM agents or multi-agent systems, make sure to mention them! We love seeing real-world applications of your skills, so donât hold back on sharing your achievements.
Apply Through Our Website: We encourage you to apply directly through our website. Itâs the best way for us to receive your application and ensures youâre considered for the role. Plus, it shows youâre keen to join our team!
How to prepare for a job interview at Cornerstone VC
â¨Know Your NLP Inside Out
Make sure you brush up on the latest NLP methodologies and large language models. Be ready to discuss specific projects where you've implemented these technologies, as well as any innovative solutions you've developed.
â¨Showcase Your Collaboration Skills
Since this role involves working closely with cross-functional teams, prepare examples that highlight your collaboration and communication skills. Think of times when you successfully articulated complex technical concepts to non-technical stakeholders.
â¨Demonstrate Proactivity
Be prepared to discuss how you've identified performance bottlenecks or areas for improvement in past projects. Share specific instances where your proactive approach led to significant enhancements in system reliability or scalability.
â¨Stay Current with Trends
Research the latest trends in machine learning and NLP before your interview. Bring insights about emerging technologies like Retrieval-Augmented Generation and Knowledge Graphs, and be ready to share how they could be integrated into the company's products.
