At a Glance
- Tasks: Design and build scalable data pipelines for machine learning models.
- Company: Rapidly growing financial services business in London with a hybrid working model.
- Benefits: Flexible working, competitive salary, and opportunities for professional growth.
- Other info: Collaborate closely with Data Scientists and make a real impact.
- Why this job: Shape the future of machine learning delivery at scale in a dynamic environment.
- Qualifications: Strong engineering background with experience in PySpark, Databricks, and cloud platforms.
The predicted salary is between 70000 - 90000 £ per year.
DW Search is seeking a machine learning engineer to join a rapidly growing financial services business in London with hybrid working. You will design and build scalable data pipelines and collaborate closely with Data Scientists to operationalise machine learning models.
The ideal candidate should have a strong engineering background and experience with tools like PySpark, Databricks, and cloud platforms such as AWS or Azure. This role offers the chance to shape how machine learning is delivered at scale.
Production ML Engineer: Data, Features & Pipelines employer: DW Search
Join a leading tier-one financial services organisation that values innovation and collaboration, offering a dynamic work culture where your contributions directly impact the core trading platform. With a strong focus on employee growth, you will have access to extensive training and development opportunities, alongside a competitive salary and benefits package. The hybrid working model in London allows for a balanced work-life integration while being part of a high-growth area within the business.
