Senior Machine Learning Engineer
Senior Machine Learning Engineer

Senior Machine Learning Engineer

London Full-Time 28800 - 48000 ÂŁ / year (est.) No home office possible
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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 – 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 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.

What You\’ll 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 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.

We’ll Be Lucky If You 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.

What We Can Offer You

  • 💰 Competitive salary & annual bonus
  • 📈 Equity in Definely
  • 🎉 Quarterly team socials & annual company offsite
  • 🏠 Hybrid working (Tues & Thurs in‑office) + 🌍 1 month “work from anywhere”
  • đŸ–ïž 25 days holiday + bank holidays
  • 📚 ÂŁ750 annual learning & development budget
  • đŸ©ș Private healthcare (incl. dental & optical)
  • đŸ‘¶ Enhanced parental leave
  • đŸšČ Additional perks: Cycle to Work, Workplace Nursery salary sacrifice scheme, and top‑quality equipment

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.

About Definely

At Definely, we’re 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\’ 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 – all without disrupting their flow. At Definely, we’re dedicated to solving real challenges faced by legal professionals.

Joining Definely means becoming part of a forward‑thinking, 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\’s prestigious UK Technology Fast50 in 2023 and backed by Microsoft, Google and Octopus Ventures, we’re trusted by leading law firms and in‑house 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 (\’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 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

Mid‑Senior level

Employment type

Full‑time

Job function

Engineering and Information Technology

Industries

Software Development

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Senior Machine Learning Engineer employer: Definely

Definely is an exceptional employer that fosters a high-performance culture where innovation and collaboration thrive. Located in the vibrant heart of Aldgate, London, we offer a hybrid working environment, competitive salaries, and extensive benefits including ongoing learning opportunities, private healthcare, and enhanced parental leave. Join us to make a meaningful impact in the legal tech space while enjoying a supportive atmosphere that prioritises your professional growth and well-being.
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Contact Detail:

Definely Recruiting Team

StudySmarter Expert Advice đŸ€«

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 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.

✹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.

✹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.

✹Tip Number 4

Don’t forget to 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 innovative team at Definely.

We think you need these skills to ace Senior Machine Learning Engineer

Machine Learning Expertise
Natural Language Processing (NLP)
Large Language Model (LLM) Agents
Multi-Agent Systems
Cloud Computing (AWS)
Containerization (Docker, Kubernetes)
Collaboration Skills
Communication Skills
Proactive Problem Solving
Performance Optimisation
Knowledge Graphs (e.g., Neo4j)
Graph Database Scalability
LangGraph for Agentic Systems
Continuous Improvement

Some tips for your application đŸ«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 don’t 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 you’re 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. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!

How to prepare for a job interview at Definely

✹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 you've worked on, showcasing your expertise in machine learning and how it applies to legal tech.

✹Showcase 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.

✹Demonstrate 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.

✹Stay 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.

Senior Machine Learning Engineer
Definely
Location: London

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