Senior ML Engineer – Real-Time, Distributed Training

Carbon Data Solutions; Greater London; Presencial; GBP 90 000 - 140 000; Tempo integral

Resumo da oferta

IMC is seeking a Machine Learning Engineer to build large-scale training and deployment systems across our global operations, collaborating with researchers, hardware experts, and software engineers to harness GPU acceleration and distributed computing for rapid experimentation.

You will develop low-latency inference pipelines, design scalable model frameworks for high-volume trading data, and work with quantitative researchers to automate experiments and retraining, driving continuous

Qualificações

• 5+ years of experience in machine learning with a focus on training or inference systems.
• Hands-on experience with real-time, low-latency ML pipelines in high-performance environments is a strong plus
• Strong engineering skills, including Python, CUDA, or C++
• Knowledge of machine learning frameworks such as PyTorch, TensorFlow, or JAX
• Proficiency in GPU programming for training and inference acceleration (e.g., CuDNN, TensorRT)
• Experience with distributed training for scaling ML workloads (e.g., Horovod, NCCL)
• Exposure to cloud platforms and orchestration tools
• A track record of contributing to open-source projects in machine learning, data science, or distributed systems is a plus

Responsabilidades

• The opportunity to be in a brand new position in a growing team
• Develop large-scale distributed training pipelines to manage datasets and complex models
• Build and optimize low-latency inference pipelines, ensuring models deliver real-time predictions in production systems
• Develop libraries to improve the performance of machine learning frameworks
• Maximize performance in training and inference using GPU hardware and acceleration libraries
• Design scalable model frameworks capable of handling high-volume trading data and delivering real-time, high-accuracy predictions
• Collaborate with quantitative researchers to automate ML experiments, hyperparameter tuning, and model retraining
• Partner with HPC specialists to optimize workflows, improve training speed, and reduce costs
• Evaluate and roll out third-party tools to enhance model development, training, and inference capabilities
• Dig into the internals of open-source ML tools to extend their capabilities and improve performance

Conhecimentos

Python

CUDA

C++

PyTorch

TensorFlow

JAX

CuDNN

TensorRT

Horovod

NCCL

Ferramentas

Python

CUDA

C++

PyTorch

TensorFlow

JAX

TensorRT

CuDNN

Horovod

NCCL

Descrição da oferta de emprego

IMC is seeking a Machine Learning Engineer to build large-scale training and deployment systems across our global operations, collaborating with researchers, hardware experts, and software engineers to harness GPU acceleration and distributed computing for rapid experimentation.

You will develop low-latency inference pipelines, design scalable model frameworks for high-volume trading data, and work with quantitative researchers to automate experiments and retraining, driving continuous