machine learning engineer

Job Title: Machine Learning Engineer (Remote)

Location: UK Remote
Hours: Full-time Contract: Permanent
Department: Technical Team
Reporting to: Technical Director/Engineering Manager
Salary: Competitive salary and package dependent on experience
Start Date: 1/10/2022

libereat food safety technology

About LiberEat

Join the mission to make food safe for everyone – Technology for Good.

At LiberEat, we significantly reduce the risk of injury to consumers by helping food businesses stop dangerous errors in allergen and ingredient information from reaching customers. Our technology is a significant advance on current food industry processes – we will make food safer together. 

LiberEat is a B2B technology scale-up business with a strong track record and enormous ambitions for growth. We are in the business of faster and safer allergen detection.

Our allergen and error detection software is unique, reliable, and trustworthy. 

We detect issues in food labelling, packaging, supplier lists, menus, and food supply chain data before they reach the consumer. 

We save businesses from injuring consumers, the high costs of food withdrawals and recalls, and reputational damage caused by allergen errors. With 50% of UK households avoiding an ingredient due to allergens, intolerances or lifestyle choices, and over 100 major food product allergen recalls per year in the UK alone. There’s a big problem here to solve. 

LiberEat was named one of the ‘10 most exciting start-ups in the UK’ by Tech Nation and was selected to join Tech Nation’s applied AI program and Wayra’s AI and Blockchain accelerator. LiberEat also won the Impact Summit award due to our positive social impact. We have recently been awarded Innovate UK grant funding to develop our machine learning-based technology further.

Role Summary 

Working closely with our Technical Director/Engineering Manager, this remote role is an exciting opportunity for an experienced and talented Machine Learning Engineer who is results-focused to join our rapidly growing team to work on an ambitious project starting 1st October 2022.

We are looking for a collaborative team player with project management skills within an agile working environment and a clear communicator to join our technology team at a significant growth phase. This role would suit an independent problem solver.

In this role, you will contribute to, and integrate with, the software development lifecycle. You’ll work with hugely innovative technology, advancing software revolutionising the food safety industry.

Key responsibilities

  • Advance the current Machine Learning and AI capabilities of our existing technology using data and machine intelligence to empower data-driven execution
  • Architect, position, and design scalable Machine Learning AI solutions
  • Achieve technical breakthroughs and conduct cutting-edge research in Machine Learning
  • Help the leadership team (Founder/CEO and Technical Director) understand the opportunities, limitations and investments needed to fully realise the potential of the technology
  • Rapidly design, prototype and test many possible hypotheses making use of quantitative analysis and business judgement
  • Carry out A/B test experiments and understand the basics of causal inference
  • Drive data strategy and build systems
  • Participate in agile development projects using sprints
  • Understand the structure of our Programmes inside out to identify and resolve issues
  • Maintain quality and ensure responsiveness of the technology
  • Report relevant and statistically accurate results back to the wider team
  • Support ongoing business requirements

What you’ll bring to the role

  • You must have a minimum of three years of experience in a similar role.
  • A degree (or a comparable level of work experience) in Computer Science, Mathematics, Machine Learning, Software, IT Engineering or a related field 
  • Experience programming in Python 
  • Programming skills sufficient to extract, transform and clean data sets
  • Confidence in developing algorithms and applying them to real-world problems
  • Excellent understanding of algorithms and data structures
  • Skills in agile working or a keen willingness to adopt these
  • Project management skills and the ability to manage multiple projects at once and effectively prioritise
  • Excellent critical thinking skills
  • A passion for solving problems and thinking outside the box
  • A detailed and organised approach
  • Ability to communicate clearly in a variety of situations, verbally and in writing to key internal and external stakeholders, including clients
  • Understanding and implementation of security and data protection
  • Always on the cutting edge with up-to-date knowledge of relevant technologies.

The ideal candidate will have experience and familiarity with the following:


  • Highly technical and confident in your own coding ability in Python, including standard MLand data libraries and frameworks.
  • Familiarity with cloud environments (AWS desirable)
  • Experience deploying and maintaining production ML systems
  • Computer vision experience
  • NLP experience
  • Experience with SQL databases 
  • Familiarity with Git

What we’ll offer

  • Competitive salary and package 
  • Well-structured career development plans, mentoring and coaching
  • The opportunity to develop and grow your career within a fast-paced scale-up Technology business while making a real difference to the safety of those with food allergies

Above is the detail of the role’s key responsibilities and output required. Please note that this is not a definitive summary, and responsibilities may change and evolve as the business flexes and pivots.

LiberEat is an equal opportunity employer, and we welcome applications from all sections of the community and people from all backgrounds across the UK. 

This role is remote, with opportunities to collaborate as possible/appropriate in person.

We’d love to receive your application!

To apply for this role, please include an up-to-date CV and a short cover letter (under 500 words) via email to [email protected] outlining why your experience would be relevant to this role. Including projects, software, and apps you have worked on would be interesting to the team.