Senior ML & AI Backend Developer
Posted Today by Harnham
£550 Per day
Undetermined
Undetermined
London, England, United Kingdom
Summary: The Senior ML & AI Backend Developer will be responsible for leading the design and deployment of scalable backend systems that support machine learning, big data, and large language model applications. This role involves working on MLOps pipelines, big data engineering, and productionizing ML and LLMs, making it central to the AI infrastructure. The ideal candidate will possess extensive experience in backend development and a deep understanding of NLP and LLMs. Collaboration and problem-solving skills are essential for success in this position.
Key Responsibilities:
- Lead the design and deployment of scalable backend systems for ML, big data, and LLM-driven applications.
- Develop MLOps pipelines and engage in big data engineering.
- Productionize classical ML and LLMs.
- Collaborate with teams to ensure coding best practices and problem-solving approaches are followed.
Key Skills:
- Expert in Python and ML/AI frameworks (PyTorch, TensorFlow, Hugging Face).
- Proven experience in MLOps, big data, and backend/API development.
- Deep understanding of NLP and LLMs.
- Proficient with cloud platforms (AWS/GCP/Azure), Airflow, DBT, Docker/Kubernetes.
- Strong collaboration and problem-solving skills.
Salary (Rate): £550.00/daily
City: London
Country: United Kingdom
Working Arrangements: undetermined
IR35 Status: undetermined
Seniority Level: Senior
Industry: IT
Senior ML & AI Backend Developer You'll lead the design and deployment of scalable backend systems powering ML, big data, and LLM-driven applications. From MLOps pipelines and big data engineering to productionizing classical ML and LLMs, you'll be at the core of AI infrastructure.
Key Requirements:
- Expert in Python, ML/AI frameworks (PyTorch, TensorFlow, Hugging Face)
- Proven MLOps, big data, and backend/API development experience
- Deep understanding of NLP and LLMs
- Proficient with cloud platforms (AWS/GCP/Azure), Airflow, DBT, Docker/Kubernetes
- Strong collaboration, problem-solving, and coding best practices
Nice to have: LLM fine-tuning, streaming data, big data warehousing, open-source contributions.