Machine Learning Engineer

ECM Selection Limited
Cambridge, UK
1 day ago
Apply on www.ecmselection.co.uk
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
£80,000.0
Working hours
Regular working hours

Tech stack

Amazon Web Services Search Algorithms Machine Learning Natural Language Processing Deep Learning Information Technology Software Coding

Job description

You will be a key member of the technical team, prototyping and evaluating new algorithms, helping to define the future product direction, and leading improvements to existing algorithms. You will drive the implementation of the algorithms, transforming research into practical market-ready products.

Requirements

  • A good degree in Computer Science or other relevant discipline and either an applicable master’s or PhD from a well-respected university.
  • Excellent understanding of machine learning fundamentals together with their practical application to real-world problems. Your knowledge base should include natural language processing (NLP) and/or deep learning amongst other techniques applicable to search algorithms.
  • Strong coding skills and practical ability to implement and objectively evaluate algorithms.
  • Familiarity with AWS.
  • Full existing right to work in the UK without restriction, time limit, or sponsorship.

Benefits & conditions

With many machine learning roles focussing heavily on particular techniques, this role provides technical breadth and a high level of ownership and influence. In addition, the company pay very competitively, and offer an excellent benefits package and equity. They are based in comfortable modern offices in Cambridge, and have a friendly and supportive culture.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.ecmselection.co.uk
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

7:10 min

Exploring pathways into the machine learning engineering field

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Distinguishing artificial intelligence from deep learning

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Applying supervised machine learning for practical rule extraction

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Overcoming hardware configuration barriers in machine learning

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