Jobs, fresher vacancy - Senior MLOps Engineer • UK

Company: Quantexa

UK

What we’re all about. 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, RequirementsWhat do I need to have? You’ll have a background in hands-on technical development, with significant industry experience in a data science/engineering role or similar Good 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 in the following would be beneficial: Experience deploying machine learning models into production, including managing their lifecycle 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 in programming with Scala Experience with LLMs, and/or RAG architecture Experience optimizing model inference for GPUs and deploying models with specialized hardware requirements Experience mentoring junior engineers within a team to help them grow BenefitsWe 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 missionWe 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 youQuantexa 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.