Junior Machine Learning Engineer

Compare the Market
London
1 year ago
Applications closed

Related Jobs

View all jobs

Junior Machine Learning Engineer

Junior Machine Learning (ML) Operations Engineer – 29348

Junior Machine Learning (ML) Operations Engineer – 29348

Senior Machine Learning Engineer (Outfits)

Lead Machine Learning Engineer, AI

Senior Machine Learning Engineer

Our purpose is to make great financial decision making a breeze for everyone, and that purpose drives us every day.

Its why were on a mission to create an automated quoting engine, with the simplest of experiences, wrapped in a brand everyone loves!

We change lives by making it simple to switch and save money and thats why good things happen when you meerkat.

Wed love you to be part of our journey.

As the Junior Machine Learning Engineer, you will be working closely with data scientists and a wide range of business and tech stakeholders with varying levels of understanding towards Machine Learning. Your role is to identify the tech requirements to productionise automated, scalable and stable Machine Learning products integrated into production systems that deliver actions and/or actionable insights.

Everyone is welcome.

We have a culture of creativity. We approach our work passionately, improve constantly and celebrate our wins at every turn. We are an inclusive workplace and our employees are comfortable bringing their authentic, whole selves to work.

Some of the great things youll be doing:

  1. Develop, maintain, monitor (health & performance) and optimise integrated Machine Learning products.
  2. Work closely with Data Engineering, Platform and Architecture teams to improve and develop new integrations, tools and technologies.
  3. Work with data scientists to productionise various ML models, ensuring the code follows best practices; effective, scalable and conforms to CTMs engineering & Tech standards.
  4. Evolve and enhance systems and tools for agile data analysis and visualisation.
  5. Follow best practices for the management and interrogation of large-scale structured and unstructured datasets.
  6. Enable the collection of new data and the refinement of existing data sources.
  7. Help manage day-to-day operations of the Data Science & Analytics platform, and other ML Solutions built & operated tech across various platforms.


What wed like to see from you:

  1. Good understanding of ML techniques & real-world applications.
  2. Comfortable manipulating and analysing large volumes of data.
  3. Familiar with Python programming.
  4. Understanding of basic model deployment concepts and familiarity with simple deployment tools or platforms.
  5. Strong interest in learning new technologies and methodologies in machine learning.
  6. Experienced in at least two of the following areas with an ambition to learn & develop in the other two:
    1. Application of machine learning
    2. Data Engineering
    3. DevOps
    4. Software Development
  7. Ability to work effectively in a team, including taking guidance and feedback from more experienced colleagues.


Theres something for everyone.

Were a place of opportunity. Youll have the tools and autonomy to drive your own career, supported by a team of amazingly talented people.

And then theres our benefits. For us, its not just about a competitive salary and hybrid working, we care about what matters to you. From a generous holiday allowance and private healthcare to an electric car scheme and paid development, wellbeing and CSR days, weve pretty much got you covered!J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.