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Senior Data Scientist

MarkJames Search

Greater London

On-site

GBP 50,000 - 90,000

Full time

7 days ago
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Job summary

An innovative firm is seeking a Full-Stack Data Scientist to bridge machine learning and software engineering. In this pivotal role, you will develop scalable AI/ML solutions and collaborate across teams to deploy machine learning models as microservices. You will leverage AWS tools to build, train, and evaluate models while ensuring ethical AI practices are upheld. This position offers the chance to work in a dynamic environment where your contributions will significantly impact the delivery of cutting-edge technology solutions. If you're passionate about AI and eager to learn, this is the opportunity for you!

Qualifications

  • Proficiency in Python or R with hands-on ML experience.
  • End-to-end MLOps experience from experimentation to deployment.

Responsibilities

  • Collaborate to deploy ML models as microservices on AWS.
  • Develop secure APIs and automate pipelines using Jenkins.

Skills

Python
R
SQL
MLOps
Machine Learning
Statistical Modeling
Problem-Solving
Communication Skills

Education

Degree in Computer Science
Degree in Data Science
Degree in Mathematics

Tools

AWS
SageMaker
Glue
Redshift
Flask
FastAPI
Jenkins
Maven

Job description

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Are you passionate about bridging the gap between machine learning and software engineering? We're looking for a Full-Stack Data Scientist to join our clients innovative team in Stratford, London, where you'll play a pivotal role in delivering scalable, production-ready AI/ML solutions.

Responsibilities

  • Collaborate across Data Science and DevOps to turn experimental ML models into deployed applications.
  • Package and deploy ML models (including Hugging Face Transformers) as microservices on AWS.
  • Build, train, and evaluate models using AWS tools like SageMaker, Bedrock, Glue, Athena, and Redshift.
  • Develop secure APIs with Apigee and build automation pipelines using Jenkins, Maven, and more.
  • Support the full ML lifecycle including monitoring, governance, and reproducibility.

Requirements

  • Degree (or equivalent experience) in Computer Science, Data Science, Mathematics, or a technical field.
  • Proficiency in Python (or R), with hands-on experience in ML and statistical modeling.
  • End-to-end experience with MLOps, from experimentation to deployment and monitoring.
  • Strong grasp of ethical AI practices: model explainability, transparency, bias mitigation.
  • Hands-on with AWS services (SageMaker, Glue, Redshift, Bedrock, Lambda, Fargate).
  • Skilled in deploying and hosting microservices/APIs with Flask or FastAPI.
  • Proficient in SQL, Git, Jupyter/RStudio, and CI/CD integrations.
  • Excellent communication skills and ability to engage with non-technical stakeholders.
  • Strong problem-solving ability and a product-first mindset.
  • Enthusiastic about learning, adapting to new tools, and collaborating in a dynamic environment
  • Languages & Frameworks: Python, R, SQL, Flask, FastAPI
  • Cloud: AWS (SageMaker, Glue, Athena, Redshift, Bedrock, ECS Fargate, Lambda)

Please apply online for consideration.

Seniority level
  • Seniority level
    Not Applicable
Employment type
  • Employment type
    Contract
Job function
  • Job function
    Information Technology
  • Industries
    Financial Services and IT Services and IT Consulting

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