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Machine Learning Engineer
Hirenza
- London, England, United Kingdom
- London, England, United Kingdom
Über
About The Role We are seeking a passionate and talented Machine Learning Engineer with expertise or interest in Large Language Models (LLMs) and AI systems to join our client, an early‑stage startup at the forefront of AI innovation. In this role, you will be instrumental in developing, training, and deploying cutting‑edge AI models tailored for real‑world applications. You will work closely with a team of engineers, researchers, and product managers to create scalable, impactful AI solutions that push the boundaries of current technology. This position offers a unique opportunity to gain hands‑on experience with state‑of‑the‑art tools and frameworks, contributing directly to products that shape the future of artificial intelligence.
Qualifications The ideal candidate will possess 0‑3 years of experience in machine learning, data science, NLP, or related fields. Strong proficiency in Python is essential, along with familiarity with machine learning frameworks such as PyTorch, TensorFlow, or Hugging Face. While not mandatory, understanding of deep learning fundamentals, LLM architectures, MLOps practices, vector databases, embeddings, and retrieval‑augmented generation (RAG) techniques will be considered a plus. Candidates should demonstrate a passion for solving complex problems, a curiosity‑driven mindset, and an eagerness to build impactful AI systems. Excellent communication skills and the ability to thrive in a fast‑paced startup environment are also important.
Responsibilities
Research, develop, and fine‑tune large language models (LLMs) for diverse real‑world applications, ensuring optimal performance and relevance.
Design, implement, and optimize data pipelines for collection, preprocessing, and evaluation to support model training and deployment.
Collaborate with product engineering teams to integrate AI models into scalable, reliable production systems.
Experiment with prompt engineering, retrieval‑augmented generation (RAG), multimodal models, and other innovative techniques to enhance AI capabilities.
Contribute to the development and maintenance of internal tools for monitoring, testing, and improving AI system performance.
Stay updated with the latest research and advancements in machine learning and AI, dedicating time and resources to continuous learning, experimentation, and publication.
Benefits
Hands‑on mentorship from experienced senior ML engineers, AI researchers, and company founders, fostering professional growth and learning.
Opportunities to experiment with and deploy the latest models, frameworks, and tools in a supportive environment.
Access to a modern tech stack including Python, LangChain, Hugging Face, OpenAI API, Pinecone, Kubernetes, and more.
Flexible, remote‑first working culture complemented by in‑person team sessions for collaboration and team‑building.
Clear pathways for career progression, with opportunities to lead projects and influence product development.
An innovative environment that values creativity, continuous learning, and personal development over bureaucracy.
Equal Opportunity IT Graduate Recruitment is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees regardless of race, gender, age, religion, sexual orientation, disability, or background. We believe that diverse perspectives foster innovation and drive the success of our clients and candidates alike. We encourage applications from all qualified individuals who are passionate about AI and eager to contribute to groundbreaking projects in a collaborative and supportive setting.
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Sprachkenntnisse
- English
Hinweis für Nutzer
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