Senior MLOps Engineer
About the Role
We are seeking a Senior MLOps Engineer to join our AI team and drive the design, deployment, and continuous improvement of our MLOps platform. In this role, you will have the autonomy to shape our infrastructure, ensuring scalable, efficient, and robust operations that support rapid model iteration and deployment at scale.
Key Responsibilities:
Design & Implement ML Workflows
Build and Scale Our MLOps Platform
Design, develop, and optimise a high-throughput model inference system for production-grade AI.
Create streamlined workflow pipelines for model training, testing, monitoring and deployment, leveraging cloud-native tools.
Cloud & Container Management:
Deploy and manage applications using AWS services, Kubernetes, Docker, and other DevOps best practices.
LLM Deployment & Fine Tuning:
Drive the deployment and fine tuning of large language models (LLMs) while ensuring efficient training pipelines and model hosting.
Monitoring & Performance Optimization:
Implement monitoring (using Prometheus/Grafana and similar tools) and logging solutions to ensure system reliability and to optimise model throughput.
Collaborate Across Teams:
Work closely with Machine Learning engineers to enable their delivery
What We’re Looking For:
Our ideal candidate will have a strong background in machine learning, MLOps, and cloud technologies with hands-on experience across the following areas:
Cloud & DevOps Expertise:
Experience with AWS, Kubernetes, and Docker.
Proven skills in designing and managing CI/CD pipelinesMLOps & LLM Operations:
Hands-on experience with training pipelines, model hosting, and throughput optimisation.Expertise in deploying and fine tuning large language models.
Monitoring & Performance:
Proficiency with monitoring tools such as Prometheus and Grafana.Programming & Automation:
Strong proficiency in Python, with experience in developing production applications.Data Engineering & Streaming:
Familiarity with data streaming tools and Elastic to ensure high performance in data-driven environments.
Nice to Have:
Neo4j
Data Streaming e.g. Kafka
Nvidia Triton
Octopus Deploy
Langsmith
Elastic
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).
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. We tend to come into the office 2-3 times a week, although you can come in more!
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.
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 your our privacy policy.
If you have any concerns about how your data is being processed, please do not hesitate to contact us.
Average salary estimate
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At Definely, we are on the lookout for a talented Senior MLOps Engineer to join our dynamic AI team in London! If you're passionate about driving innovation and refining MLOps platforms, this role could be your next adventure. In this position, you'll have the freedom to shape our infrastructure and influence the development of high-quality, scalable AI solutions. Your responsibilities will include designing and implementing machine learning workflows, building our MLOps platform, and creating high-throughput model inference systems. You'll get to work with modern cloud-native tools like AWS, Kubernetes, and Docker to ensure our applications run smoothly and efficiently. A key part of your work will also involve deploying and fine-tuning large language models while optimizing training pipelines to maximize performance. We value collaboration, and you'll be engaging closely with machine learning engineers to help bring their ideas to life. Join us and you'll not only enjoy the perks of working in a successful startup, but also take part in a mission that’s revolutionizing the global legal services market. If you're ready to make an impact, we can't wait to meet you!
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