At a Glance
- Tasks: Lead the development of innovative Generative AI solutions using cutting-edge technologies.
- Company: Join a forward-thinking tech company at the forefront of AI innovation.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for professional growth.
- Other info: Collaborate with diverse teams in a dynamic environment focused on AI advancements.
- Why this job: Make a real impact by solving complex business problems with Generative AI.
- Qualifications: 5+ years in Data Science, with hands-on experience in LLMs and strong Python skills.
The predicted salary is between 63000 - 77000 £ per year.
We are looking for a highly capable and innovative Data Scientist with experience in Generative AI to join our Data Science Team.
You will lead the development and deployment of Gen AI solutions, including LLM-based applications, prompt engineering, fine-tuning, embeddings, and retrieval-augmented generation (RAG) for enterprise use cases.
As part of your duties, you will be responsible for
- Design and build Generative AI solutions using Large Language Models (LLMs) for business problems across domains like customer service, document automation, summarization, and knowledge retrieval.
- Fine-tune or adapt foundation models using domain-specific data.
- Implement RAG pipelines, embedding models, vector databases (e. g., FAISS, Pinecone, Chroma DB).
- Collaborate with data engineers, MLOps, and product teams to build end-to-end AI applications and APIs.
- Develop custom prompts and prompt chains using tools like Lang Chain, Llama Index, Prompt Flow, or custom frameworks.
- Evaluate model performance, mitigate bias, and optimize accuracy, latency, and cost.
- Stay up to date with the latest trends in LLMs, transformers, and Gen AI architecture.
- Qualifications and experience we consider to be essential for the role:
- 5+ years of experience in Data Science / ML, with 1+ year hands‑on in LLMs / Gen AI projects.
- Strong Python programming skills, especially in libraries such as Transformers, Lang Chain, scikit-learn, Py Torch, or Tensor Flow.
- Experience with Open AI (GPT-4), Claude, Mistral, LLa MA, or similar models.
- Knowledge of vector search, embedding models (e. g., BERT, Sentence Transformers), and semantic search techniques.
- Ability to build scalable AI workflows and deploy them via APIs or web apps (e. g., Fast API, Streamlit, Flask).
- Familiarity with cloud platforms (AWS/GCP/Azure) and MLOps best practices.
- Excellent communication skills with the ability to translate technical solutions into business impact.
Skills and Personal attributes we would like to have
- Experience with prompt tuning, few-shot learning, or Lo RA-based fine-tuning.
- Knowledge of data privacy and security considerations in Gen AI applications.
- Familiarity with enterprise architecture, SDLC, or building Gen AI use cases in regulated domains (e. g., finance, insurance, healthcare).
- #J-18808-Ljbffr
Generative AI Data Scientist employer: TechYard
Join a dynamic consultancy that champions innovation in Data & AI transformation, where your expertise as a Senior Cloud Engineer will be valued and nurtured. With a strong emphasis on collaboration and professional growth, you'll have access to cutting-edge tools and technologies while working alongside industry leaders in a supportive environment. Located in a vibrant tech hub, this role offers unique opportunities to engage with enterprise clients and make a tangible impact on their AI initiatives.
