Machine Learning Engineer
- Published on
About the Role
You will be joining a fast-growing, research-driven company building an artificial intelligence using novel machine learning techniques. My client is revolutionising their industry with a track record of building things that others have ruled out as impossible.
The Machine Learning Engineer will join a very bright, talented team of engineers with guidance from technologists who have helped build some of the best-known technology companies today. You will work closely with senior engineers and data scientists to quickly learn and apply machine learning techniques to real-world problems, shipping results fast. The role will be very interesting and diverse and will involve keeping ahead of the latest technologies. Applicants must have solid Java development experience.
About the Candidate
Core skills for the Machine Learning Engineer:
- 2+ years in a commercial Machine Learning role
- Solid experience of Java and ideally Python
- A strong understanding of core ML algorithms and frameworks (e.g., scikit-learn, TensorFlow, PyTorch)
- Familiarity with cloud platforms (AWS) and Kubernetes for deploying
- A degree in Computer Science, Engineering, or a related field, or equivalent hands-on experience in engineering.
Salary and Benefits
The salary for the Machine Learning Engineer will depend on experience, but expect between £55,000 and £80,000 + Pension + benefits. Other benefits include free breakfast and coffee, drinks and snacks all day/every day, food ordered for a weekly team lunch, and regular team events (dinner, bowling, karting, poker nights, board-games etc.). Additionally, you will have access to the latest tech, generous annual leave, and an amazing office with a balcony overlooking Notting Hill.
Company Culture
Applicants must have the right to work in the UK; no sponsorship is offered for this role. The company promotes a collaborative environment that values innovation and encourages continuous learning.
Technologies used: Java, Python, scikit-learn, TensorFlow, PyTorch, AWS, Machine Learning, Artificial Intelligence