At a Glance
- Tasks: Develop and optimise ML systems for real-time dispute processing.
- Company: Join a leading tech firm with a focus on innovation and growth.
- Benefits: Competitive salary, flexible working, and opportunities for professional development.
- Other info: Dynamic startup-like environment with excellent career advancement opportunities.
- Why this job: Make a real impact on millions of disputes while working with top-tier engineers.
- Qualifications: 5+ years in MLOps/ML Engineering and strong Python skills required.
The predicted salary is between 60000 - 80000 £ per year.
As an ML (Machine Learning) in the Disputes ML team, you will contribute to the development of our brand‑new ML‑driven dispute optimisation suite.
This is a unique opportunity to get in on the ground floor of an expanding area, grow alongside top‑tier engineers, and make a tangible impact on millions of disputes.
- How you'll make an impact
- Build systems for training, deploying and monitoring machine learning models used in our Disputes platform, at scale.
- Build and optimise data pipelines and backend services to process dispute and payment data in real time.
- Build and scale our feature store for use‑cases both online and offline.
- Take complete ownership of delivering comprehensive, end‑to‑end features within a startup‑like setting, driving the entire lifecycle from requirement refinement, data pipeline construction and model training to troubleshooting and production deployment.
- Turn raw data into production‑ready features that feed our dispute systems.
- Collaborate with platform and backend engineers to integrate models seamlessly.
Experience and qualifications
- 5+ years of experience as an MLOps / ML Engineer.
- High proficiency in writing clear, production‑ready Python code.
- Experience with production ML models (online or offline) and standard MLOps practices.
- Experience with monitoring and observability of production systems, with a strong sense of ownership.
- Experience with training and operating models on Databricks.
- Familiarity with cloud‑based application development (AWS & Azure).
- Familiarity with one or more ML frameworks and technologies: scikit‑learn, xgboost, Tensor Flow, Py Torch, Spark, Sage Maker, Vertex AI, Kubeflow, Seldon, Triton.
- Strong communication skills, able to express ideas clearly and collaborate across teams.
- #J-18808-Ljbffr
Senior Machine Learning Engineer Software engineering London employer: Checkout Ltd
Checkout Ltd is an exceptional employer that fosters a dynamic and inclusive work culture, where collaboration and innovation thrive. With a strong focus on employee growth, the company offers ample opportunities for professional development while embracing a hybrid working model that promotes flexibility. Located in London, employees benefit from a vibrant city atmosphere, making it an ideal place for those seeking meaningful and rewarding careers in the legal field.
