Senior AI Scientist

Lebara Media Services Private Ltd; Greater London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A technology services company in Greater London is looking for an experienced AI Developer to lead the development of AI proof-of-concepts and chat-bots. The ideal candidate will have a Master's degree in CS/ML/AI and strong experience in Python and AI tooling. You will work closely with product and technology teams while mentoring junior data scientists. This role offers the chance to innovate and collaborate with diverse stakeholders in a dynamic environment.

Qualifications

• Master's degree in Computer Science, Machine Learning, AI, or a related field.
• Strong proficiency in Python with experience in modern AI tools.
• Knowledge of cloud platforms and ML Ops practices.

Responsibilities

• Lead development of AI POC’s and chat-bots.
• Fine-tune and deploy language models locally.
• Mentor junior data scientists and contribute to architecture.

Skills

Python

RAG

AI/ML tooling

Conversational AI

Cloud platforms (Azure)

Stakeholder management

Collaboration

Education

Masters in CS/ML/AI

Tools

LangChain

LangFuse

vector databases

Job description

Responsibilities:

• Lead development of AI POC’s, powering chat-bots and LLM-based assistants for customers and internal use.
• Fine-tune and deploy language models locally, design RAG approaches (vector search, knowledge retrieval), and agentic systems.
• Develop intelligence evaluation processes, to determine quality of LLM response.
• Work with product and technology teams to define chat flows, response quality metrics, continuous improvement.
• Mentor junior data scientists, contribute to the architecture of the AI development stack.

Skills & Qualifications:

• Masters in CS/ML/AI or a related field
• Strong Python experience; familiarity with modern AI tooling and frameworks such as LangChain, LangFuse, vector databases, and LLM orchestration libraries
• Experience in RAG, embedding models, transformers & vector databases
• Experience deploying AI or ML models in production, working with microservices
• Knowledge of cloud platforms (Azure) and ML Ops practices
• Familiarity with conversational AI/chatbots
• Strong communication skills; ability to translate business goals into AI solutions
• Stakeholder management, able to work and influence senior leaders
• Demonstrated ability to work collaboratively
• Be able to interact with diverse groups of technical and non-technical people