Senior AI Data Scientist – ML, NLP & Production

REPLY; Greater London; Hybrid; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Competitive Salary

Bonus Scheme

Private Healthcare Insurance

25 Days Annual Leave + Bank Holidays

Development training per year

Contributory Pension

Flexible Working

Job summary

Solirius Reply, part of the Reply Group, is seeking an AI Data Scientist to build intelligent, data-driven products. You will design, develop and deploy machine learning models, collaborating with data engineering, analytics, product, and business teams to transform data into actionable insights and high-impact AI solutions.

You will explore large datasets, build scalable data pipelines, and monitor model performance while staying current with advancements in AI/ML to guide product decisions.

Qualifications

• Experience in ML, data science, or applied AI roles.
• Proficiency in Python and ML libraries.
• Experience with cloud platforms (AWS, Azure, or GCP) and ML pipelines.
• Experience deploying AI models in production.
• Familiarity with MLflow, Kubeflow, and Airflow.

Responsibilities

• Design, develop, and deploy ML/AI models.
• Explore, cleanse, and transform large datasets.
• Perform statistical analysis and feature engineering.
• Build scalable data pipelines and automate training/inference.
• Collaborate with engineering to productionize models.
• Monitor performance and drift; implement improvements.
• Communicate findings to technical and non-technical stakeholders.
• Stay updated on AI/ML advancements and assess impact.

Skills

Python

ML libraries

Statistics & ML algorithms

Cloud platforms

LLMs & Generative AI

MLOps tools

Databases (SQL/NoSQL)

Production deployment

Publications/Open-source

Tools

MLflow

Kubeflow

Airflow

Job description

Solirius Reply, part of the Reply Group, is seeking an AI Data Scientist to build intelligent, data-driven products. You will design, develop and deploy machine learning models, collaborating with data engineering, analytics, product, and business teams to transform data into actionable insights and high-impact AI solutions.

You will explore large datasets, build scalable data pipelines, and monitor model performance while staying current with advancements in AI/ML to guide product decisions.