Machine Learning Engineer

This role is for a hands-on Machine Learning Engineer to join our ML production team.
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Machine Learning Engineer

Location: Bristol, UK with flexible remote working

Full time /  Permanent - part time & flexible working hours available

Salary: £40,000 - £70,000 per annum 

Vaarst is a deep tech company with artificial intelligence, autonomy, and computer vision at the heart of what we do. This role is for a hands-on Machine Learning Engineer to join our ML production team. We require someone with a strong ML background with a passion for creating and implementing production level ML pipelines. You will be key to advancing our subsea capability across edge ML, SLAM, and Autonomy.

You will get to:

  • Make an impact in the energy transition space, helping the move from oil to renewables
  • Working on cutting edge tech in AI, Machine Learning, Computer Vision, Big Data and Autonomy
  • Be part of a great company with very talented people that will revolutionise an industry
  • Continue to learn and develop with opportunities for collaboration and attending conferences

You will need to:

Define approaches to solve ML problems in the marine sub surface space, including working with SLAM, edge ML, supervised and unsupervised deep learning approaches

Create production ML pipelines for images and video

Stay up to date with the latest tools, research, methods and technologies, and keep an eye open for opportunities to apply these

Work collaboratively within the ML Team to approach problems

Work with our computer vision, ML platform and Autonomy teams to identify opportunities to incorporate ML into those solutions

Develop infrastructure and tools for rapid machine learning experimentation

Implement and develop new Machine Learning approaches and services

Continuous evaluation and improvement of models in production

Create high-quality code to solve super interesting problems


  • Strong interest in and experience with machine learning and what it takes to get AI working in practice
  • Technical expertise in AI: Deep Learning, Machine Learning, Statistics
  • Knowledge of relevant metrics and how to apply them to monitor model performance
  • Strong proficiency with Python, or strong experience in other languages and a willingness to learn Python
  • Ability to write high quality code that can be easily understood and maintained
  • Strong experience with ML for image and/or video processing and modern supporting tools e.g. AWS, git, etc.

Additional Experience (desirable but not essential):

  • Experience with ML for video processing
  • Strong experience with MLOps
  • Experience with pytorch(-lightning), opencv, CVAT, docker, ROS
  • Strong experience with productionising machine learning
  • Experience in the marine or GIS domains


  • A fast growing company that can accelerate your career
  • Generous pension scheme
  • Flexible working policy
  • 25 days holiday plus bank holidays, increasing based on length or service.
  • Bonus leave gifted at various length of service milestones
  • Private medical insurance
  • Additional training and personal development
  • A people focused, inclusive culture with monthly social events

As a team we are passionate about our company’s future and work hard to see the results of our efforts changing our industry. We are small enough that everybody makes a difference but big enough to provide variety of work and strong in-house expertise. We work together and celebrate our successes together.

Additional information

  • Yearly salary

    40000 - 70000 GBP

  • Remote status

    Flexible remote

  • Employment type


We usually respond within two weeks

Or, know someone who would be a perfect fit? Let them know!


BS1 3AE Bristol Directions +44 (0)1173 258 197

Company culture

As an organisation, we know that in order to achieve our goals we need to attract, develop and retain only the very best people and encourage their growth through our company.


As a fast-growing business in an ever-changing environment, we truly recognise how important it is to be aware of our roots, to visualise the mission we are working towards and to embrace our values to help us reach our common goal as a team. 

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