At a Glance
- Tasks: Join our AI team to innovate legal tech with machine learning and NLP.
- Company: Definely, a fast-growing startup transforming the legal services market.
- Benefits: Competitive salary, hybrid work, 25 days holiday, and private healthcare.
- Other info: Access ongoing training and mentorship for career growth.
- Why this job: Make a real impact in a dynamic environment with top law firms.
- Qualifications: Expertise in machine learning, NLP, and experience with LLM agents.
The predicted salary is between 70000 - 90000 € 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: Dangote Industries Limited
Definely is an exceptional employer, offering a dynamic work environment in the heart of London where innovation thrives. With a strong focus on employee growth, competitive salaries, and a high-performance culture, team members are encouraged to experiment and contribute ideas that shape the future of legal technology. Enjoy the benefits of hybrid working, ongoing learning opportunities, and a supportive workplace that values work-life balance and personal development.
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 or insider info about openings that aren't even advertised yet.
✨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 and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on the latest trends in machine learning and NLP. Be ready to discuss how you've applied these technologies in real-world scenarios, and don't forget to highlight your collaborative experiences with cross-functional teams.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team and contributing to our innovative projects.
We think you need these skills to ace Senior Machine Learning Engineer
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your expertise in machine learning and NLP right from the get-go. We want to see how your experience aligns with our needs, so don’t hold back on showcasing your past projects and achievements!
Tailor Your Application:Take a moment to customise your application for this role. Use keywords from the job description to demonstrate that you understand what we’re looking for and how you can contribute to our AI team.
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate well-structured responses that get straight to the heart of your qualifications and experiences without unnecessary fluff.
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’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Dangote Industries Limited
✨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 NLP solutions, as well as any challenges you faced and how you overcame them.
✨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.
✨Demonstrate Your Proactivity
Be prepared to discuss instances where you identified performance bottlenecks or areas for improvement in previous projects. Show us how you took the initiative to solve these issues and the impact it had on the overall project.
✨Familiarise Yourself with Emerging Technologies
Research technologies like Retrieval-Augmented Generation (RAG) and Knowledge Graphs. Be ready to share your thoughts on how these can be integrated into legal tech solutions, and come with ideas that could shape the future of AI initiatives.
