Senior Machine Learning Engineer

Company Description

Arcani is at the forefront of tackling solutions for detection from the most cutting edge threats, such as drones and Unmanned Ground Vehicles. We develop cutting-edge harware and AI sensor systems that address this challenge in difficult environments. Our team is driven by a shared vision to create impactful solutions that give defenders the tools they need to protect themselves.

Qualifications, skills, and all relevant experience needed for this role can be found in the full description below.

Role Description

This is a full-time hybrid role for a Machine Learning (ML) Engineer based in the London Area, United Kingdom, with flexibility for remote work. The ML Engineer will be responsible for designing, developing, and implementing machine learning models. Day-to-day tasks include working on pattern recognition, building and optimizing algorithms, collaborating with data scientists, and analysing data using advanced statistical techniques. xwzovoh The ML Engineer will also contribute to the development of neural network architectures to address complex problems.

Qualifications

• Proficiency in Pattern Recognition and Neural Networks
• Advanced knowledge of Computer Science and Algorithms
• Strong foundation in Statistics and the ability to analyse complex data
• Experience designing, training, and optimising machine learning models
• Ability to collaborate effectively with cross-functional teams
• A degree in Computer Science, Data Science, Machine Learning, or a related technical field
• Familiarity with industry-standard tools and libraries (e.g., TensorFlow, PyTorch) is a plus
• Experience working on real-world machine learning projects is advantageous