Lead MLOps Engineer

Do you ever have the urge to do things better than the last time? We do. And it’s this urge that drives us every day. Our environment of discovery and innovation means we’re able to create deep and valuable relationships with our clients to create real change for them and their industries. It’s what got us here – and it’s what will make our future. At Quantexa, you’ll experience autonomy and support in equal measures allowing you to form a career that matches your ambitions. 41% of our colleagues come from an ethnic or religious minority background. We speak over 20 languages across our 47 nationalities, creating a sense of belonging for all.

Founded in 2016 by a small team, Quantexa was built with a vision of enabling better decision making through better data-driven intelligence. Seven years, twelve locations and 700+ employees later we recently gained “Unicorn” status with our Series E funding round.  

Our Analytics teams build, deploy and maintain the a wide range of AI models which underpin our platform. This includes specific expertise in emerging methods for Graph based model and NLP models. Our MLOps team is task with automating and maximising efficiency of the build, deployment and maintenance of all model types.  

We are seeking a senior MLOps Engineer to join our team. This individual will play a crucial role in designing, deploying, and maintaining production-level machine learning models. The Senior MLOps Engineer will focus on leading MLOps initiatives, including infrastructure, automation, and ensuring models are seamlessly transitioned from development to production. 

The role demands technical expertise in MLOps, experience in collaborating with remote teams. 

Responsibilities 

• • Establish the Quantexa ML Ops team and the team’s interfaces to other parts of Quantexa. 
  • Advance our approaches to deployment of ML models within our platform.  
  • Work with Architects and DS teams to select appropriate model architectures and patterns, including detailed dependencies. Optimise models to meet non-functional requirements. Document new approaches for reuse.  
  • Building tools and processes to stand up required modelling environments on cloud, including environments with specialised capabilities such as GPUs. 
  • Compose frameworks to support the Deployment, Testing, Monitoring and Governance of models. 
  • Input into selection of 3rd party products and tools, as required, including any Vendor selection 
  • Provide support for teams using ML models. Examples include liaising with cloud and DS teams to resolve issues with live models, supporting client deployment of models in partnership with DS teams; Providing Model API support to Quantexa’s platform teams. 

Requirements

What do I need to have?

• You’ll have a background in hands-on technical development, with at least two years of industry experience in a lead data science/engineering role or similar
• Expert knowledge of the machine learning development cycle
• Strong programming skills in Python and experience using ML libraries
• Experience with Cloud technologies (we use GCP internally)
• Experience with Docker, Helm and  Kubernetes for deploying and managing containerized applications
• Experience with DevOps tooling like Airflow, Jenkins or similar
• Experience deploying machine learning models into production, including managing their lifecycle
• Experience mentoring junior engineers within a team to help them grow

Experience in the following would be beneficial:

• Experience implementing model governance e.g. model versioning, drift reporting etc.
• Experience with MLOps tools such as MLFlow, Kubeflow, or DVC
• Experience with distributed processing systems like Spark (Scala and PySpark would be invaluable)
• Experience with LLMs, and/or RAG architecture

• Experience optimizing model inference for GPUs and deploying models with specialized hardware requirements. 

Benefits

Why join Quantexa?

We know that just having an excellent glass door rating isn’t enough, so we’ve put together a competitive package as a way of saying thank you for all your hard work and dedication.

We offer:

• Competitive salary
• Company bonus
• Private healthcare, Life Insurance & Income Protection
• Cycle Scheme and TechScheme
• Free Calm App Subscription #1 app for meditation, relaxation and sleep ‍♀️
• Pension Scheme with a company contribution of 6% (if you contribute 3%)
• 25 days annual leave (with the option to buy up to 5 days) + birthday off!
• Ongoing personal development
• Great WeWork Office Space & Company wide socials

Our mission

We have one mission. To help businesses grow. To make data easier. And to make the world a better place. We’re not a start-up. Not anymore. But we’ve not been around that long either. What we are is a collection of bright, passionate minds harnessing complexities and helping our clients and their communities. One culture, made of many. Heading in one direction – the future.

It's all about you

Quantexa is proud to be an Equal Opportunity Employer. We’re dedicated to creating an inclusive and diverse work environment, where everyone feels welcome, valued, and respected. We want to hear from people who are passionate about their work and align with our values. Qualified applications will receive consideration for employment without regard to their race, colour, ancestry, religion, national origin, sex, sexual orientation, gender identity, age, citizenship, marital, disability, or veteran status. Whoever you are, if you’re a curious, caring, and authentic human being who wants to help push the boundaries of what’s possible, we want to hear from you.

Internal pay equity across departments is crucial to our global compensation philosophy. Grade level and salary ranges are determined through interviews and a review of experience, education, training, knowledge, skills, and abilities of the applicant, equity with other team members, and alignment with market data.

Quantexa is committed to providing reasonable accommodations in our talent acquisition processes. If you require support, please inform our Talent Acquisition Team.