Senior Machine Learning Engineer

What you'll work on

• 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.

What we're looking for

• 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.

Job Types: Full-time, Permanent, Graduate

Pay: £30,106.44-£100,006.78 per year

Benefits:

• Private medical insurance
• Work from home

Work Location: Remote