5 of 5 Permanent Apache Spark Jobs in East London

private/on-prem AI platforms (e.g. NVIDIA-based stacks, private AI platforms). • Solid understanding of data engineering concepts (ETL, data lakes, Spark or similar). • Experience designing scalable, distributed systems. • Familiarity with model lifecycle management and MLOps practices. • Proven ability to align AI initiatives to business outcomes ...

containerised workloads (Docker, Kubernetes, Kubeflow, etc.) and integrating with CI/CD tools (Jenkins, GitHub Actions, GitLab CI). Familiarity with distributed computing frameworks (Spark, Ray, TensorFlow Distributed, PyTorch Distributed). Strong understanding of monitoring, logging, and observability for large-scale ML systems. Experience in cost optimisation for compute ...

Deep expertise in search and recommendation systems (e.g., semantic embeddings, learning-to-rank, personalisation algorithms). Hands-on experience with modern ML toolchains — Python, Spark, and frameworks such as PyTorch or TensorFlow. Strong grounding in experimental design, A/B testing, and the use of offline/online metrics ...

tooling and working with large transactional datasets • Understanding of OTC products including CDS, Interest Rate Swaps and Variance Swaps Highly Desirable • Experience with C++, Spark, Kafka or other distributed compute tools • Exposure to position keeping, risk, or PnL systems • Strong debugging, profiling and optimisation capability across data pipelines ...

tooling and working with large transactional datasets Understanding of OTC products including CDS, Interest Rate Swaps and Variance Swaps Highly Desirable Experience with C++, Spark, Kafka or other distributed compute tools Exposure to position keeping, risk, or PnL systems Strong debugging, profiling and optimisation capability across data pipelines ...