Machine Learning Engineer
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Role details
Tech stack
Job description
- Research and develop innovative AI/ML solutions for challenging technical problems.
- Design, train and evaluate machine learning models across a variety of applications.
- Rapidly prototype, test and optimise new ideas.
- Analyse research papers and apply the latest ML techniques.
- Design experiments, interpret results and present technical findings.
Requirements
- Strong degree in Computer Science, Mathematics, Physics, Engineering or a related STEM subject.
- Commercial or research experience in Machine Learning (industry, PhD, MSc or personal projects).
- Strong Python programming skills.
- Experience with one or more ML frameworks such as PyTorch, TensorFlow, Keras or JAX.
- Strong analytical, problem-solving and communication skills.
About the company
Hexwired has partnered with an innovative technology company developing advanced AI and machine learning solutions for complex, real-world applications. They are looking for a Machine Learning Engineer to join a multidisciplinary R&D team in Cambridge working on cutting-edge machine learning projects from concept through to deployment., The company are rapidly expanding and are at the forefront of their industry. They are looking to pay circa £60k - £120k along with a comprehensive benefits package. If you’re interested in this Machine Learning Engineer job in Cambridge, please apply.
For more information on this role, or any other jobs across; Embedded, C++ programming, Embedded Linux, Golang Development, FPGA, Python, Javascript, C#, Electronics, Secure Boot, Power Electronics, Digital Design, Machine Learning, Data Science or Simulation, contact us today.
Tagged as: C++, Machine Learning, Software, At Hexwired Recruitment, a technology recruitment agency in London, we take pride in being one of the leading tech recruitment agencies.
| We specialise in technical job placements across various sectors, including Aerospace | Defence | Energy | Electronics Manufacturing | Semiconductor | Automotive | Renewable energy | IOT | Space | Robotics | Telecoms | Artificial Intelligence | Wind Energy | Fintech | Broadcast | Audio and Video and Media. |
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