Unique opportunity to join this hugely successful prop trading firm as they scale significantly, building out a brand-new central trading team.

With major investment in GPUs and compute infrastructure, the aim is to build from scratch a best-in-class platform, redefining how alpha is generated. To do this, they're looking for exceptional HPC/Distributed Systems Engineers to sit within a pod-like structure - but with much more shared capital, strategic influence and collaboration across a centralised book.

Alongside the infrastructure investment, what makes this opportunity especially interesting is the level of commitment behind it:

• Greenfield environment with the opportunity to build the research stack from scratch
• Strong autonomy and ability to shape direction from an early stage
• Deep learning-first philosophy across research and modelling

Experience in the following is ideal:

• Distributed training (e.g. XGBoost via Ray)
• GPU-heavy workloads
• MapReduce-style systems

You'll be expected to have a strong skills background in:

• Ray, Spark, Dask
• Databricks, Anyscale, Cloudera, or Snowflake
• Kubernetes (K8s) for ML clusters
• Strong analytical, independent problem-solving, and communication

Benefits

• Competitive salary and discretionary bonuses
• Generous paid vacation allowance
• Free breakfast, lunch, and snacks on a daily basis
• Reimbursement for health & wellness expenses
• Donation matching program

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Contact
If you think you're a good match, or would like further information, please contact:

Henry Abbot
henry.abbot@oxfordknight.co.uk
+44 (0)20 3475 7199
linkedin.com/in/henry-abbot