Machine Learning Engineer, Neural Decoding — Manchester/Los Angeles

NeuroDOCTRINE; Manchester; Hybrid; GBP 70,000 - 90,000; Full time

Job summary

NeuroDOCTRINE is hiring a Machine Learning Engineer to own decoding models from dataset to on-device inference in challenging environments.

You will collaborate with signal-processing and neuromorphic engineers, ensuring models stay honest against field conditions and remain deployable in real-time systems.

Experience with time-series or biosignals ML using PyTorch or JAX is highly valued, with hybrid work across Manchester and Los Angeles.

Qualifications

• Experience with ML for time-series or biosignals.
• Ability to evaluate models under noisy real-world data.
• Bias toward deployable systems and real-time inference.

Responsibilities

• Own decoding models from dataset to on-device inference.
• Collaborate with signal-processing and neuromorphic engineers.
• Keep models honest against field conditions.

Skills

Time-series ML / biosignals

Deployable systems mindset

Tools

PyTorch

JAX

Job description

Train and deploy neural-decoding models that turn brain signals into command intent for swarm and C2 systems.

What you’ll do

Own decoding models from dataset to on-device inference, collaborate with signal-processing and neuromorphic engineers, and keep models honest against field conditions.

What you’ll bring

Experience with ML for time-series or biosignals (PyTorch/JAX), model evaluation under noisy real-world data, and a bias toward deployable systems.

Apply for Machine Learning Engineer, Neural Decoding — Manchester/Los Angeles