Machine Learning Engineer

JR United Kingdom; Slough; On-site; GBP 30,000 - 50,000; Full time

Job summary

A leading technology firm in Slough is seeking a curious Junior Machine Learning Engineer to work on cutting-edge data intelligence tools in a hybrid environment. This role entails transforming unstructured financial data into actionable insights, alongside gaining hands-on ML experience. The ideal candidate has 0–2 years of experience, solid skills in Python, and familiarity with machine learning libraries. Join us to grow and contribute to impactful AI solutions.

Benefits

Mentorship & Growth

Collaborative Environment

Hands-On ML Experience

Qualifications

• 0–2 years of experience in machine learning, applied AI, or data science.
• Solid Python skills and familiarity with ML libraries.
• Understanding of basic ML concepts and data preprocessing techniques.

Responsibilities

• Help train, test, and optimize models.
• Design ML pipelines and fine-tune NLP models.
• Collaborate with engineers and data scientists.

Skills

Python

Machine Learning

NLP

Data Preprocessing

Tools

PyTorch

TensorFlow

Hugging Face Transformers

SQL

NoSQL

Job description

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Are you a Junior Machine Learning Engineer eager to turn messy, complex data into real-world intelligence?

We’re looking for a curious and motivated Junior ML Engineer to join a hybrid-working team building cutting-edge data intelligence tools for the financial sector. You’ll spend part of your time collaborating in person with engineers and data scientists, and part working remotely — giving you the best of both worlds.

You’ll be working on a platform that transforms unstructured private market data into actionable insights — learning how to design ML pipelines, fine-tune NLP models, and deploy solutions that really work in production.

In this role, you’ll help train, test, and optimise models that can read, understand, and structure complex documents at scale. From data preprocessing to model evaluation, you’ll gain hands-on experience across the machine learning lifecycle — while contributing to a product used by real-world clients.

What’s in it for you?

? AI That Matters – Work on models that make sense of unstructured financial documents and turn them into structured insights.

Hands-On ML Experience – Learn the full ML workflow — from cleaning data to deploying models and monitoring them in production.

? Mentorship & Growth – Work closely with experienced ML engineers who will guide your technical and career development.

? Collaborative Environment – Pair with engineers, data scientists, and domain experts to solve real-world challenges.

? Hybrid Flexibility – Balance focused remote work with in-person collaboration at our office.

What We’re Looking For:

• 0–2 years of experience in machine learning, applied AI, or data science (personal projects and internships count!)
• Solid Python skills and familiarity with libraries like PyTorch, TensorFlow, or Hugging Face Transformers
• Understanding of basic ML concepts and data preprocessing techniques
• Interest in NLP, unstructured data, and information extraction
• Eagerness to learn, take feedback, and contribute to a collaborative team

Nice to Have:

• Experience with SQL/NoSQL databases
• Familiarity with MLOps tools (Docker, Git, CI/CD)
• Exposure to vector databases or semantic search
• Knowledge of financial datasets or document processing workflows

If you’re excited to grow your skills in machine learning and work on technology that helps people understand complex data — we’d love to hear from you.

Apply now and start your journey building the future of data-driven insight.