Senior Data Scientist (London Area)
Job Title: Senior Data Scientist
Location: Stratford, London (Hybrid, -3 days per week onsite)
Contract Length: 6 months
Rate: £400–£500 per day (Inside IR35)
Industry: Financial Services
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
Tech Stack
- Languages & Frameworks: Python, R, SQL, Flask, FastAPI
- Tools: Hugging Face, Apigee, Jenkins, Git, RStudio, Jupyter
- Cloud: AWS (SageMaker, Glue, Athena, Redshift, Bedrock, ECS Fargate, Lambda)
Please apply online for consideration.
- Company
- MarkJames Search
- Location
- London, UK
Hybrid / WFH Options - Employment Type
- Part-time
- Posted
- Company
- MarkJames Search
- Location
- London, UK
Hybrid / WFH Options - Employment Type
- Part-time
- Posted