Front End £65k Fully Remote Machine Learning A.I React · Austin Fraser
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Front End Software Engineer // React, Redux, Nodejs, AWS, Python, Machine Learning, A.I
Oxford - Fully Remote // £65k + Package

Are you a bright, innovative and creative thinker looking to work like minded people?
Do you want to work on projects that are the edge of cutting technology?
Do you want to surround yourself with Machine Learning & A.I?

If you are an experienced Front End focused Full Stack Engineer who has an eye for design but also the engineering background to integrate and implement then this is the opportunity for you!

Our client is a hugely successful Oxford University spin-out who have rapidly grown over the last 2 years from a Start-Up to an established SME with so much more to come in the future. They are working on some of the most state of the art, cutting edge projects that I have come across in engineering. If you join this company you will be pushing the boundaries with all things A.I & Machine Learning. You will not only develop yourself as a person but also has a engineer. Our client have one simply goal and that is build a future where A.I and Humans work together to solve some of the worlds biggest issues now and also 100 years down the line.

You will join the Machine Learning team as an experienced engineer and after a industry leading on boarding platform will immediately get to grips with some of their current projects!

You'll be working alongside our machine learning client team, supporting them by delivering expert advice and bespoke working solutions. You'll also be working with the Product teams as we integrate new ideas into our machine learning platform or tackle a particular business need. You should expect to work closely with platform-engineers to provide ideas and generally get stuck in to help make something work as it should.

Fancy working with A.I to detect malaria in mosquito's and subsequently save mill lions of lives? Sounds good right?


You will be thinker! Someone who gets stuck in. Someone who gets thrill out of taking ideas and driving them through to production. You will have to be someone who enjoys making elegant yet maintainable solutions and someone who is able to work hand in hand with an awesome team of engineers!

Your passion for software engineering and Machine Learning will allow you to thrive in the business. Their collaborative, flexible and autonomous way of working will provide an excellent platform for you to grow, learn and explore new technologies and tools, whilst driving them forward to make their vision a reality.


  • At least 4 years of commercial software engineering experience across all parts of a software development life cycle
  • Experience working in an iterative Agile environment
  • Fluent with JavaScript/ Typescript
  • Fluent with React, Redux
  • An appreciation for Nodejs, Python or Java
  • An appreciation for AWS
  • A degree in a technical discipline such as Mathematics, Computer Science, Physics, etc. or equivalent commercial experience.
  • Commercial experience or at least a passion for Machine Learning/ A.I


  • Competitive salary
  • Remote working
  • Private healthcare (including dental and optical cover)
  • Pension
  • 25 days holiday (excl bank holidays)
  • An opportunity for equity in the company
  • Physical and mental health well-being initiatives e.g. discounts on gym memberships and sportswear & equipment, free fitness & nutrition programmes and professional mental health support sessions
  • Life cover
  • Flexible working

Get in touch! This will be a popular role. They are an excellent business with so much going for them! I look forward to our call...

Austin Fraser is acting as an Employment Agency in relation to this vacancy.

Austin Fraser is committed to being an equal opportunities employer, and encourages applications from candidates regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion or belief, marital status, or pregnancy and maternity status.

Due to the volume of applications received, we are unable to provide individual feedback to unsuccessful applicants.