Senior MLOps Engineer

Cornerstone VC
London
3 days ago
Create job alert

About the Role

We are seeking aSenior MLOps Engineerto 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 pipelines

  • MLOps & 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 thatDEFEYENE 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 toand 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.


#J-18808-Ljbffr

Related Jobs

View all jobs

Senior MLOps Engineer IRC261736

Senior MLOps Engineer [UAE Based]

Senior Machine Learning Engineer (London Area)

Data Science Manager

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Top 10 Mistakes Candidates Make When Applying for Machine-Learning Jobs—And How to Avoid Them

Landing a machine-learning job in the UK is competitive. Learn the 10 biggest mistakes applicants make—plus tested fixes, expert resources and live links that will help you secure your next ML role. Introduction From fintechs in London’s Square Mile to advanced-research hubs in Cambridge, demand for machine-learning talent is exploding. Job boards such as MachineLearningJobs.co.uk list new vacancies daily, and LinkedIn shows more than 10,000 open ML roles across the UK right now. Yet hiring managers still reject most CVs long before interview—often for avoidable errors. Below are the ten most common mistakes we see, each paired with a practical fix and a live resource link so you can dive deeper.

Top 10 Best UK Universities for Machine Learning Degrees (2025 Guide)

Explore ten UK universities that deliver world-class machine-learning degrees in 2025. Compare entry requirements, course content, research strength and industry links to find the programme that fits your goals. Machine learning (ML) has shifted from academic curiosity to the engine powering everything from personalised medicine to autonomous vehicles. UK universities have long been pioneers in the field, and their programmes now blend rigorous theory with hands-on practice on industrial-scale datasets. Below, we highlight ten institutions whose undergraduate or postgraduate pathways focus squarely on machine learning. League tables move each year, but these universities consistently excel in teaching, research and collaboration with industry.

How to Write a Winning Cover Letter for Machine Learning Jobs: Proven 4-Paragraph Structure

Learn how to craft the perfect cover letter for machine learning jobs with this proven 4-paragraph structure. Ideal for entry-level candidates, career switchers, and professionals looking to advance in the machine learning sector. When applying for a machine learning job, your cover letter is a vital part of your application. Machine learning is an exciting and rapidly evolving field, and your cover letter offers the chance to demonstrate your technical expertise, passion for AI, and your ability to apply machine learning techniques to solve real-world problems. Writing a cover letter for machine learning roles may feel intimidating, but by following a clear structure, you can showcase your strengths effectively. Whether you're just entering the field, transitioning from another role, or looking to advance your career in machine learning, this article will guide you through a proven four-paragraph structure. We’ll provide practical tips and sample lines to help you create a compelling cover letter that catches the attention of hiring managers in the machine learning job market.