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A leading software company in Cambridge is seeking a Machine Learning Research Engineer to research cutting-edge machine learning concepts. This role requires a Ph.D. in a related field and a strong background in NLP and classic machine learning. Responsibilities include investigating algorithms, prototyping research concepts, and evaluating their feasibility. The position offers a competitive salary and a comprehensive benefits package. Ideal for candidates passionate about advancing technology in an innovative environment.
An incredible opportunity for a Machine Learning Research Engineer to work on researching and investigating new concepts for an industry‑leading, machine‑learning software company in Cambridge, UK. This unique opportunity is ideally suited to those with a Ph.D. relating to classic Machine Learning and Natural Language Processing and its application to an ever‑advancing technical landscape. On a daily basis you will be working on the very cutting‑edge of machine‑learning including prototyping, building and implementing new approaches to AI problems.
Location: Cambridge – 3 days in office / 2 days remote
Salary: Highly competitve salary + comprehensive benefits
If you would like to apply for this unique ML Engineer opportunity, we would love to hear from you. Please send an up‑to‑date CV via the relevant link. We’re committed to creating an inclusive and accessible recruitment process. If you require reasonable adjustments for your application or during the review process, please highlight this by emailing (if this email address has been removed by the job‑board, full details for contact are available on our website).
RedTech Recruitment
RedTech Recruitment Ltd focus on finding roles for people leaving academia entering industry. Even if the above role isn’t of interest, please visit our website to see our other opportunities.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Tagged as: Academia, Natural Language Processing, Neural Networks, NLP, Speech Processing, United Kingdom