Senior GenAI & ML Scientist — RAG/LLM Expert

Quilter; Southampton; Hybrid; GBP 70,000 - 90,000; Full time

Job summary

A leading wealth management firm in the UK seeks an experienced professional for their AI Centre of Excellence. In this role, you will be responsible for developing and deploying machine learning models while collaborating with various stakeholders. The ideal candidate will hold an advanced degree in a relevant field and have extensive experience in AI/ML research, particularly in deep learning and natural language processing. Benefits include a competitive salary, non-contributory pension scheme, and private medical insurance.

Benefits

Holiday: 26 days

Incentive Scheme

Pension Scheme

Private Medical Insurance

Life Assurance

Income Protection

Qualifications

• Track record of delivering AI solutions from research to production.
• Strong foundation in machine learning algorithms and concepts.
• Knowledge of scalable model deployment on Azure and AWS.

Responsibilities

• Develop and deploy AI/ML solutions, focusing on traditional and GenAI models.
• Design RAG pipelines and enhance existing frameworks.
• Benchmark and evaluate model performance using classical and GenAI-specific metrics.

Skills

Python proficiency

Machine Learning algorithms

Deep Learning

Generative AI libraries

Problem-solving skills

Communication

Education

Advanced degree (MSc or PhD) in Machine Learning or related field

Tools

NumPy

Pandas

Scikit-learn

PyTorch

Hugging Face

FastAPI

Docker

Job description

A leading wealth management firm in the UK seeks an experienced professional for their AI Centre of Excellence. In this role, you will be responsible for developing and deploying machine learning models while collaborating with various stakeholders. The ideal candidate will hold an advanced degree in a relevant field and have extensive experience in AI/ML research, particularly in deep learning and natural language processing. Benefits include a competitive salary, non-contributory pension scheme, and private medical insurance.