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Machine Learning Engineer
Hirenza
- London, England, United Kingdom
- London, England, United Kingdom
À propos
About The Role We are seeking a passionate and talented Machine Learning Engineer with a focus on large language models (LLMs) and AI systems to join our innovative startup. This role offers an exciting opportunity to work at the forefront of artificial intelligence, developing real‑world applications that leverage cutting‑edge LLM technologies. As part of our team, you will contribute to building intelligent copilots, adaptive automation tools, and other AI‑powered products that have a meaningful impact across various industries. The position is based in London with a hybrid working model, providing flexibility and a collaborative environment. Ideal candidates will be early‑career professionals with 0‑3 years of experience eager to grow their expertise and make significant contributions to our ambitious projects.
Qualifications The ideal candidate should possess a strong foundation in machine learning, data science, or natural language processing, with 0‑3 years of relevant experience. Proficiency in Python is essential, along with exposure to popular frameworks such as PyTorch, TensorFlow, or Hugging Face. A solid understanding of deep learning fundamentals, LLM architectures, and MLOps practices is advantageous. Familiarity with vector databases, embeddings, retrieval‑augmented generation (RAG), and multimodal models will be considered a plus. Candidates should demonstrate a passion for solving complex problems, a curiosity‑driven mindset, and the ability to thrive in a fast‑paced startup environment. Excellent communication skills and a collaborative attitude are also important for success in this role.
Responsibilities As a Machine Learning Engineer specializing in LLMs, your primary responsibilities will include researching, training, and fine‑tuning large language models for practical applications. You will develop and optimize pipelines for data collection, preprocessing, and model evaluation to ensure high‑quality outputs. Collaborating closely with product engineers, you will deploy models into scalable production systems, ensuring robustness and efficiency. Experimentation with prompt engineering, retrieval‑augmented generation architectures, and multimodal models will be a key part of your role. Additionally, you will contribute to the development of internal tools for monitoring, testing, and improving AI performance, ensuring that our models operate at peak capability. Staying up‑to‑date with the latest research in machine learning and AI is essential, and you will be encouraged to explore, learn, and publish new findings to advance our technological edge.
Benefits Joining our team offers numerous benefits designed to support your professional growth and work‑life balance. You will receive hands‑on mentorship from experienced ML engineers, AI researchers, and company founders, providing valuable insights and guidance. You will have the freedom to experiment with state‑of‑the‑art models, tools, and frameworks, fostering innovation and creativity. Our modern tech stack includes Python, LangChain, Hugging Face, OpenAI API, Pinecone, Kubernetes, and more, enabling you to work with cutting‑edge technologies. We promote a flexible, remote‑first culture with in‑person team sessions to facilitate collaboration and team bonding. Opportunities for career advancement are abundant, with chances to lead projects, shape product development, and influence company strategy. We cultivate an environment that values continuous learning, personal development, and a passion for building impactful AI solutions.
Equal Opportunity IT Graduate Recruitment is an equal opportunity employer committed to fostering a diverse and inclusive workplace. We do not discriminate based on race, ethnicity, gender, sexual orientation, age, disability, or any other protected characteristic. We believe that diverse perspectives drive innovation and excellence, and we are dedicated to providing an equitable environment where all employees can thrive and contribute to our shared success. We welcome applicants from all backgrounds and are committed to supporting your growth and development within our organization.
Seniority level Associate
Employment type Full‑time
Job function Engineering and Information Technology
Industries Technology, Information and Media
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Compétences linguistiques
- English
Avis aux utilisateurs
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