Applied Machine Learning Engineer

Job Title

Applied Machine Learning Engineer

Location: San Francisco or Washington DC area (hybrid)

Rest of US: open to relocating (support offered)

Intro

A specialist technology business at the forefront of intelligent systems is seeking an experienced Applied Machine Learning Engineer to help shape the next generation of edge-deployed AI. This is a hands-on role for someone who enjoys solving complex, real-world problems and seeing their work operate in demanding, mission-critical environments.

The Opportunity

Working within a highly collaborative, cross-disciplinary team, the successful candidate will contribute to a wide spectrum of machine learning challenges, from computer vision and sensor fusion to real-time inference on embedded hardware. The role offers significant variety, combining research-led experimentation with practical deployment, and is well-suited to someone who thrives in fast-moving environments where priorities evolve and innovation is constant.

This is an opportunity to directly influence how intelligent systems perform in the field, developing robust, efficient models that operate under real-world constraints.

Key Responsibilities

• Design, train and evaluate models across tasks such as object detection, classification, anomaly detection and sensor-driven inference
• Optimise model architectures and inference pipelines for edge and embedded environments with strict performance constraints
• Contribute to dataset strategy, including labelling approaches, augmentation, synthetic data and domain adaptation
• Prototype across multiple AI domains including computer vision, signal processing and multi-modal fusion
• Build and maintain real-time data processing pipelines for both on-device and cloud-based systems
• Develop internal tools for benchmarking, visualisation and debugging model performance
• Assess emerging research and technologies for practical application
• Participate in code reviews, technical discussions and documentation

What They’re Looking For

• Strong academic background in Machine Learning, Computer Vision, Robotics or a related field (Master’s or PhD preferred)

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• Significant experience (typically 4+ years) building and deploying ML models in production
• Advanced Python skills and hands-on experience with frameworks such as PyTorch or TensorFlow
• Proven experience working with varied data types (e.g. image, time-series, geospatial or RF data)
• Expertise in deploying ML models to edge or embedded systems, including optimisation techniques
• Solid grounding in ML best practices such as validation strategies, tuning and monitoring
• Strong analytical and problem-solving capabilities with a pragmatic approach to delivery
• Effective communicator, comfortable working across technical and non-technical teams
• Eligibility to obtain and maintain security clearance
• Experience in maritime, aerospace or remote sensing domains would be advantageous

Important to know

Unfortunately, due to the sector the company operates in, they can only consider US Citizens eligible for Security Clearance for this role.