🚀 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!