Senior AI Data Scientist – ML, NLP & Production

REPLY

Greater London

Hybrid

GBP 70,000 - 110,000

Full time

14 days+
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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.

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