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Machine Learning Engineer

Job description


Machine Learning Engineer (Python or C/C++)
Hybrid - Bristol
£40,000 - £55,000 + Progression, Flexible Hybrid Working, Progression and Training

Excellent opportunity for a Machine Learning Engineer to join a stable company offering long term progression, hybrid working and huge amounts of training.

This company takes pride is delivering the best design experience for its customers. Providing professional software for companies to create their products, from Formula 1 cars, satellites and planes to games console and smartphones.

In this role you will join their Technology Research Department that deals with highly technical work, including areas of research such as machine learning, data science and statistical analysis.

The ideal candidate will have a strong knowledge of Python and/or C, C++. The majority of the work however, will be carried out in Python. You will have experience of current research in the area of AI and Machine Learning and the desire to progress your career and develop your skillset.

This is a fantastic opportunity for a Machine Learning Engineer to join a long standing company offering training and progression which will in turn lead to new challenges and responsibility. There is dual progression opportunity meaning you can go into technical roles or take a leadership route.

The Role:
*Hybrid - Bristol
*Machine Learning, Data Science, Statistical Analysis for optimisation and generative problems
*Writing code in Python, C or C++

The Person:
*Confident with Python
*Degree in Machine Learning, Data Science, AI or other related Software disciplines
*Interest in algorithm development

To apply for this role or for to be considered for further roles, please click "Apply Now" or contact Scarlett Boshle at Rise Technical Recruitment.

Rise Technical Recruitment Ltd acts an employment agency for permanent roles and an employment business for temporary roles.

The salary advertised is the bracket available for this position. The actual salary paid will be dependent on your level of experience, qualifications and skill set. We are an equal opportunities employer and welcome applications from all suitable candidates.