Machine Learning Engineer

🚀 Are you a Machine Learning Engineer ready to kickstart your career in AI?

We’re looking for a driven and detail-oriented Machine Learning Engineer to join our hybrid-working team in London. You’ll collaborate with talented engineers and data scientists to build and deploy intelligent systems that transform unstructured data into actionable insight.

You’ll be joining a fast-growing AI company developing automation solutions that extract meaning from emails, documents, and other unstructured communications — turning them into structured data and insights that drive real business decisions. Our technology powers next-generation AI workflows for enterprise clients across sectors like finance and professional services.

This is an exciting opportunity for a recent graduate or early-career professional with up to one year of experience who’s passionate about machine learning, generative AI, and applying cutting-edge research to real-world challenges.

In this role, you’ll:

🧠 Design, train, and evaluate machine learning and deep learning models for production environments

🛠 Develop and optimise end-to-end ML pipelines — from data preparation to model deployment

📊 Experiment with advanced generative and predictive models , including diffusion, autoregressive, and transformer-based architectures

🤝 Collaborate with data engineers and software developers to integrate AI solutions into scalable systems

💡 Contribute to research and experimentation around model performance, optimisation, and privacy-aware learning

What’s in it for you?

📈 Career Growth – Build hands-on experience in cutting-edge AI while developing your technical expertise through mentorship and ongoing learning

⚙ Impactful Work – Contribute to real-world projects where your models and insights directly shape intelligent products

💬 Collaborative Environment – Join a supportive, curious, and innovative team that values experimentation and creative problem-solving

🏢 Hybrid Flexibility – Balance remote focus time with in-person collaboration at our London office

🌱 Learning Pathway – Gain exposure to advanced ML frameworks and progress toward senior engineering roles as you grow

What We’re Looking For:

🎓 A degree in Artificial Intelligence, Computer Science, Mathematics, or a related field

🐍 Proficiency in Python and experience with frameworks such as PyTorch , NumPy , or Scikit-learn

🧩 Understanding of machine learning algorithms, optimisation, and model evaluation

📈 Strong mathematical reasoning and analytical problem-solving skills

🗣 Excellent communication skills and a genuine passion for learning and innovation

Nice to Have:

💾 Experience with JAX , Hydra , or Weights & Biases

📊 Exposure to GANs , diffusion models , or autoregressive architectures

📚 Knowledge of data privacy , machine unlearning , or secure ML methods

💻 Internship or academic project experience in AI research , data science , or software development

If you’re ready to take your first step into applied machine learning and work on projects that push the boundaries of AI innovation — we’d love to hear from you.

👉 Apply now and be part of shaping the future of intelligent automation!