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!

Location: London,, GB

Posted Date: 11/1/2025