At a Glance
- Tasks: Join our AI team to innovate legal tech with machine learning and NLP.
- Company: Definely, a fast-growing LegalTech startup backed by industry giants.
- Benefits: Competitive salary, hybrid work, 25 days holiday, and private healthcare.
- Why this job: Make a real impact in legal technology while collaborating with top professionals.
- Qualifications: Expertise in machine learning, NLP, and cloud technologies required.
- Other info: Dynamic environment with excellent growth opportunities and a supportive culture.
The predicted salary is between 28800 - 48000 ÂŁ per year.
Senior Machine Learning Engineer â Definely
Join to apply for the Senior Machine Learning Engineer role at Definely.
About the Role
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 worldâs 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. Youâll be collaborating closely with data scientists, software engineers, and product managers to integrate advanced NLP techniques into our products.
What You\âll 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.
What You\âll Bring
- 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.
Weâll Be Lucky If You 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.
What We Can Offer You
- đ° Competitive salary & annual bonus
- đ Equity in Definely
- đ Quarterly team socials & annual company offsite
- đ Hybrid working (Tues & Thurs inâoffice) + đ 1 month âwork from anywhereâ
- đïž 25 days holiday + bank holidays
- đ ÂŁ750 annual learning & development budget
- đ©ș Private healthcare (incl. dental & optical)
- đ¶ Enhanced parental leave
- đČ Additional perks: Cycle to Work, Workplace Nursery salary sacrifice scheme, and topâquality equipment
Most importantly, if youâre 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.
About Definely
At Definely, weâre on a mission to simplify the way legal professionals access and understand complex information in legal documents. Trusted by a global community of customers, our LegalTech solutions integrate seamlessly into lawyers\â daily workflows, making it easier to draft, review and navigate even the most complex contracts.
Our products provide instant access to essential information, enabling legal teams to review clauses and provisions in context, reduce risk and work more efficiently â all without disrupting their flow. At Definely, weâre dedicated to solving real challenges faced by legal professionals.
Joining Definely means becoming part of a forwardâthinking, collaborative team that prioritises innovation and people. We create a supportive environment driven by a shared commitment to connection, growth and success.
Recognised in the top 25 of Deloitte\âs prestigious UK Technology Fast50 in 2023 and backed by Microsoft, Google and Octopus Ventures, weâre trusted by leading law firms and inâhouse legal teams, including A&O Shearman, Dentons, Deloitte, and Barclays, to streamline their workflows and mitigate risks.
Data Privacy Notice
By submitting your application, you agree that DEFEYENE LEGAL SOLUTIONS LIMITED (\âDefinely\â) 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 hr@definely.com and we will send you our privacy policy.
If you have any concerns about how your data is being processed, please do not hesitate to contact us.
Seniority level
MidâSenior level
Employment type
Fullâtime
Job function
Engineering and Information Technology
Industries
Software Development
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Senior Machine Learning Engineer employer: Definely
Contact Detail:
Definely Recruiting Team
StudySmarter Expert Advice đ€«
We think this is how you could land Senior Machine Learning Engineer
âšTip 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.
âšTip 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.
âšTip 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.
âšTip Number 4
Donât forget to apply through our website! Itâs the best way to ensure your application gets seen by the right people. Plus, it shows youâre genuinely interested in joining our innovative team at Definely.
We think you need these skills to ace Senior Machine Learning Engineer
Some tips for your application đ«Ą
Show Off Your Skills: Make sure to highlight your machine learning and NLP expertise in your application. We want to see how your experience aligns with the role, so donât hold back on showcasing your projects and achievements!
Tailor Your Application: Take a moment to customise your CV and cover letter for this specific role. Mention how your background in LLM agents and multi-agent systems can contribute to our innovative legal solutions. It shows us youâre genuinely interested!
Be Clear and Concise: When writing your application, keep it clear and to the point. Use straightforward language to explain your technical skills and experiences. We appreciate clarity, especially when it comes to complex topics like machine learning.
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, itâs super easy â just a few clicks and youâre done!
How to prepare for a job interview at Definely
âšKnow Your NLP Inside Out
Make sure you brush up on the latest NLP methodologies and large language models. Be ready to discuss specific projects you've worked on, showcasing your expertise in machine learning and how it applies to legal tech.
âšShowcase Your Collaboration Skills
Since this role involves working closely with cross-functional teams, prepare examples of how you've successfully collaborated with data scientists, software engineers, or product managers in the past. Highlight your communication skills and how you articulate complex concepts to non-technical stakeholders.
âšDemonstrate Proactivity
Be prepared to discuss instances where you've identified problems or performance bottlenecks in previous projects. Show how you took the initiative to implement solutions that improved system reliability or scalability, especially in relation to LLM agents and multi-agent systems.
âšStay Current with Trends
Research the latest trends in NLP and machine learning before your interview. Bring insights about emerging technologies like Retrieval-Augmented Generation (RAG) and Knowledge Graphs, and be ready to share your thoughts on how they could enhance the company's products.