1 day left

Salary Negotiable
21 Dec 2018
18 Jan 2019
Acapella Recruitment
Contract Type
Full Time


Corsham, Wiltshire


Our client’s company exists to help mankind win the war against pathogens. They identify problems in microbiology that were previously impossible to solve and develop new technology to solve them. They are an exciting start-up backed by the UK’s fastest growing pharmaceutical company aiming to revolutionise microbiology.

They are currently working with partners in the pharmaceutical manufacturing and veterinary diagnostics sector to develop their products:

1)     SmartControl – Environmental monitoring software that seamlessly captures images of every sample to ensure data integrity with zero capital expenditure.

2)     SwiftDetect - A rapid test that can detect the presence or absence of a single cell in a large volume in under six hours, using their hybrid PCR technology.

What they’re looking for

They are looking for a passionate and talented machine learning engineer to join their growing team to help them become the world leaders in applying artificial intelligence techniques to microbiological data. They have already begun to apply supervised learning techniques and wish to develop this much further. Your creativity and love of problem solving will be essential skills to succeed in this role. As part of working for a start-up, the role will be varied and is likely to evolve as they grow, and you will have a high level of responsibility and ownership in your role.

What you’ll do

The machine learning engineer will work in close collaboration with other scientists in the team and Microgenetics management. Your role will report directly in to the Head of Operations. 

  • Take diverse datasets and identify key features that can be used to learn new insights
  • Work with their microbiologists to understand the capability and limitations of existing microbiological techniques and how AI might support this
  • Suggest novel techniques for collecting and interpreting data
  • Design and implement ML algorithms to the datasets you have helped to build
  • Support in developing all company products and pro-actively contribute ideas for future product development
  • Work with the software development team to integrate your researched methods into their product releases

What qualifications / experience do you need?

  • A PhD in Robotics, Information Engineering, Computer Science or a related field. Exceptional Masters graduates will also be considered dependant on experience.
  • Two plus years of Machine Learning related work with a focus on implementation
  • Experience with common programming languages (e.g. Python, C/C++, Java, Matlab) and machine learning frameworks
  • Understanding of and ability to implement common ML techniques such as SVMs or neural networks
  • Excellent analytical and problem-solving skills
  • Excellent oral, interpersonal and written communication skills. Ability to build rapport quickly.
  • Initiative, innovative creativity and tenacity to achieve objectives and overcome obstacles

Even better if you have…

  • Knowledge of software delivery methodologies, including agile development
  • Experience with microbiology

What you’ll get

  • Competitive salary depending on experience
  • 21 days holiday + 8 days bank holiday (increasing with service)
  • Generous company pension scheme
  • Life assurance
  • Company bonus scheme (dependent on profit goals)
  • Free breakfast and outdoor gym

Our client is based in a new science park development in Corsham in the beautiful Wiltshire countryside, with easy commutes from Bath, Bristol and Chippenham.

Come and join us in revolutionising microbiology.

If this sounds like the opportunity for you, please apply with your CV and a covering letter ASAP.

Closing date for applications is – Sunday 6th January 2019.  Interviews will take place week commencing 21st January 2019.  You will be contacted by Tuesday 8th January 2019 if you have been shortlisted for an interview.

*PLEASE NOTE – by applying to this position, you agree for your CV to be submitted to our client, who shall contact you directly, should your application make their short-list.  You also agree to our Privacy Policy: which can be found on our website.


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