Jobs, fresher vacancy - Senior Machine Learning Engineer • UK

Company: LEUTE PASSEN INDIA PRIVATE LIMITED

UK

Senior Machine Learning Engineer (AI/ML Focus) Work Mode: Fully Remote (UK-Based) Salary Package: £90,000 per annum Key Responsibilities Lead the end-to-end development of scalable AI/ML solutions—from research and prototyping to deployment and monitoring—solving complex business problems. Design, build, and maintain robust ML pipelines and APIs, ensuring seamless integration of models into production systems and applications. Spearhead projects across key AI domains, including NLP, Computer Vision, and Generative AI (e.g., LLMs, RAG applications), to deliver measurable impact. Establish and champion MLOps best practices, leveraging tools like Docker, Kubernetes, MLflow, and Azure to ensure model reproducibility, scalability, and automated CI/CD workflows. Collaborate cross-functionally with Data Engineering, Product, and DevOps teams to align AI initiatives with business goals and architectural standards. Mentor junior data scientists/engineers and contribute to the team's technical strategy and knowledge base. Required Qualifications 5+ years of professional experience in building, deploying, and maintaining production-grade AI/ML systems. Expert proficiency in Python and core ML libraries (PyTorch/TensorFlow, scikit-learn, pandas). [Note: Removed Django/Flask from "strong proficiency" - see below]. Proven hands-on experience in at least two of the following: Deep Learning, NLP, Computer Vision, or Generative AI/LLM applications. Solid experience with modern MLOps tooling: Docker, Git, CI/CD, and at least one major cloud platform (Azure preferred; AWS/GCP acceptable). Strong foundation in software engineering for production: version control, testing, APIs, and familiarity with databases (SQL). Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders. Bachelor’s or Master’s degree in Computer Science, Data Science, or a related quantitative field, or equivalent practical experience. Preferred Skills & Assets Direct experience with Generative AI tech stacks (e.g., LangChain, RAG architectures, LLM fine-tuning and deployment) is a significant advantage. Experience with data pipeline/orchestration tools (Apache Spark, Airflow, dbt). Knowledge of container orchestration (Kubernetes) and model lifecycle management (MLflow). A portfolio of projects, contributions to open-source ML projects, or relevant publications.