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Machine Learning Engineer

SeeByte
Posted 2 days ago, valid for a month
Location

Edinburgh, City of Edinburgh EH4, Scotland

Salary

£45,000 per annum

Contract type

Full Time

Retirement Plan
In order to submit this application, a TotalJobs account will be created for you. As such, in addition to applying for this job, you will be signed up to all TotalJobs’ services as part of the process. By submitting this application, you agree to TotalJobs’ Terms and Conditions and acknowledge that your personal data will be transferred to TotalJobs and processed by them in accordance with their Privacy Policy.

Sonic Summary

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  • SeeByte is seeking a Machine Learning Engineer in Edinburgh, offering a salary between £40,000 and £45,000 per annum plus benefits.
  • The role is hybrid, requiring 60% of the time in the office, and is suited for candidates with a degree in Machine Learning or Artificial Intelligence.
  • Applicants should have hands-on experience with modern Machine Learning techniques and libraries like TensorFlow and PyTorch, as well as proficiency in C++ and/or Python.
  • The position involves developing models for object detection, working with Generative Adversarial Networks, and contributing to SeeByte's technology roadmap.
  • Candidates must demonstrate strong numeracy, critical thinking skills, and a customer-focused approach, with a requirement for some travel within and outside the UK.

Role: Machine Learning Engineer

Location: Edinburgh, Hybrid (60% of time in office)

Salary: £40,000 to£45,000 per annum (or pro-rata) + pension scheme and bonus

Job Type: Permanent, Full-time or Part-time


SeeByte, the global market leader in the development of smart software for uncrewed maritime systems, are looking to recruit a Machine Learning Engineerto join their team in Edinburgh, Hybrid (60% of time in office).

You will have a unique opportunity to play a significant role in a dynamic and world respected technology company within the exciting field of robotics, with clear development, training and career progression opportunities provided.This is a fantastic opportunity to work for an innovative and forward-thinking company with an international client base.


Benefits

We are proud to have and promote a healthy work-life balance in a casual working environment. Some of the benefits include:

  • Competitive salary and shared employee / employer contributory pension scheme
  • Generous holiday entitlement and option to buy additional holidays after 1 year of service.
  • Travel compensation scheme
  • Clear development, training and career progression opportunities
  • Flexible Working Policy
  • Opportunities to travel to great locations worldwide to work with robots
  • External, online training courses and in-house training
  • Offices in the centre of Edinburgh or in Bristol, two great cities to live and work
  • Free access to a gymnasium (Edinburgh)/Fitness Sessions (Bristol)/Table Tennis (Bristol)
  • On-site parking (Edinburgh)
  • Enhanced family friendly policies
  • Showers, lockers, swipe access internal bike store (Edinburgh)
  • Travel season ticket loan
  • Annual company day out
  • Save money on your commute as SeeByte participates in the Cycle to Work Scheme and Travel season ticket loan

Main purpose of the role

As a Machine Learning engineer at Seebyte, you can expect to play a key role in exciting and varied projects involving uncrewed systems, working as part of a team developing SeeBytes software solutions for our clients. SeeByte will support you in gaining an understanding of our domain, services and customers as you become an integral part of the team.


Key responsibilities of the role

  • You will take part in the development and tuning of models for object detection and classification using state of the art Deep Neural Networks.
  • You will work with the ML team to develop Generative Adversarial Network systems to create realistic environmental simulations
  • You will be involved in defining and implementing new areas of technology and shaping SeeBytes technology roadmap.

Key skills, experience and qualifications

  • Graduated with a degree level or higher qualification which includes Machine Learning and Artificial Intelligence (deep neural networks).
  • Have experience with modern Machine Learning techniques and libraries such as TensorFlow, pyTorch, scikit learn.
  • Have experience of using C++ and/or Python.
  • You will have strong numeracy and critical thinking skills.
  • Hands-on commercial or academic experience in ML with demonstrated technical skills in one or more of the following areas: deep neural networks, pattern recognition or computer vision.
  • Knowledge and experience of data mining/machine learning /deep learning algorithms.
  • Management and processing of Big Data.

Behaviours that make you brilliant for this role

  • You are customer focussed, striving to deliver excellence and continuously keeping the customer needs at the forefront of your mind.
  • You think innovatively creating novel solutions to problems. You demonstrate ownership and accountability for your work and see tasks through to completion, fully understanding their impact.
  • You actively foster a positive, inclusive culture and willingly share your knowledge and support with others.
  • You can influence your stakeholders and provide constructive and positive feedback to individuals and teams. You are adaptable and open to change and youre comfortable in a fast-paced, evolving environment.

Please note that due to the nature of this role it will require some travel within and out with the UK.


Apply

To apply please send a recent copy of your CV and a cover letter.

As an inclusive employer, SeeByte aims to build diverse teams by encouraging applications from a wide range of individuals.


Because of the nature of the work associated with this post it is subject to special nationality rules and is open only to the following citizens: British.

All offers of employment will be conditional to a Security Clearance (SC) process. As part of this process, SeeByte collects Personal Data as defined under UK GDPR including proof of identity, nationality and immigration status, right to work in the UK, employment and/or academic references and Basic Disclosure information for unspent criminal convictions. Please see details pertaining to your personal data in our Privacy Notice which can be found at https://careers.seebyte.com/job-application-privacy-notice/


NO RECRUITMENT AGENCIES PLEASE

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In order to submit this application, a TotalJobs account will be created for you. As such, in addition to applying for this job, you will be signed up to all TotalJobs’ services as part of the process. By submitting this application, you agree to TotalJobs’ Terms and Conditions and acknowledge that your personal data will be transferred to TotalJobs and processed by them in accordance with their Privacy Policy.