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Cierti

Machine Learning Engineer - Junior

London
£50k – £70k/yr
Posted about 17 hours ago
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Junior Machine Learning Engineer

London (Hybrid)
£50,000 - £60,000 + Exceptional L&D Budget

We're partnering with an ambitious and highly technical EdTech start up to make personalised, high-quality education accessible to everyone through machine learning.

Their flagship product is already helping English language learners improve their skills through intelligent, data-driven tutoring. Now, they're expanding their Machine Learning team and seeking a Junior ML Engineer to help build next-generation learning models capable of predicting student knowledge and recommending the optimum next learning activity.

If you're passionate about AI, education, and solving genuinely meaningful problems, this is an opportunity to make a visible impact from day one.

Responsibilities

  • As part of a growing ML team, you'll work on real-world machine learning challenges using a unique and extensive dataset.
  • Building predictive machine learning models that improve learning outcomes.
  • Working with data from more than 1 million language tests, including text and voice datasets.
  • Developing and refining NLP-driven educational tools and assessment methods.
  • Analysing large-scale and diverse datasets to uncover insights and improve model performance.
  • Fine-tuning machine learning models for scalability, accuracy, and efficiency.
  • Collaborating closely with software engineers and product specialists in a highly cross-functional environment.
  • Contributing to the creation of innovative learning technologies that can be applied across multiple languages and subjects.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

Start with a chat, not a search bar

Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

Ideal profile

  • Degree in Computer Science, Data Science, Machine Learning or related discipline.
  • Strong Python programming skills.
  • Understanding of machine learning algorithms and evaluation metrics.
  • Knowledge of Neural Networks, CNNs, RNNs and Transformer architectures.
  • Exposure to Natural Language Processing (NLP).
  • Experience using libraries such as Pandas and NumPy.
  • Familiarity with automated ML workflows or pipelines.

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Nice to Haves

  • Experience building ML solutions end-to-end, from data preparation to production monitoring.
  • Knowledge of CI/CD and MLOps practices.
  • Experience with Reinforcement Learning.
  • Experience working with voice/audio datasets.
  • Ability to speak more than one language.
  • Contributions to the ML community through blogs, talks, videos or open-source projects.

This would suit a recent grad or second jobber looking to make their next step up looking for an opportunity to work with cutting-edge AI technology whilst helping redefine the future of education.

Trusted by 25,000+ job seekers

“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”

Jessica, London

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Skills

Python
Machine Learning
Natural Language Processing
Neural Networks
CNNs
RNNs
Transformer Architectures
Pandas
NumPy
ML Pipelines
MLOps
Reinforcement Learning
CI/CD
Data Analysis
Model Fine-tuning
Audio Data Processing

Location

London, England, United Kingdom

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