Machine Learning Engineer
- Type
- Job
- Organization
- Imc
- Location
- London
- Deadline
- Rolling or not stated
- Who can apply
- On-site in London
- Posted
- 14 October 2026
- Skills mentioned
- Machine learning, Python, C++, PyTorch, TensorFlow
About this Opportunity
As a Machine Learning Engineer, you will play a pivotal role in building systems that drive the training and deployment of large-scale ML models across our global operations. You'll collaborate with leading researchers, hardware experts, and software engineers to build robust solutions that maximize the potential of GPU acceleration, distributed computing, and the latest open-source tools.
Eligibility
- 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)
Documents you may need
- Updated CV / Resume
- Cover Letter (tailored to this role)
How to apply
- Click the "Apply — via Arbeitnow" button to go to the source page.
- Read the full description and confirm you meet the requirements.
- Prepare your CV and cover letter tailored to this role.
- Submit your application through the official portal.
- Follow up within 1–2 weeks if you do not hear back.
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