Python Data Engineer III- Machine Learning

TN United Kingdom; Glasgow; On-site; GBP 50,000 - 90,000; Full time

Job summary

Join a dynamic team where your unique skills will foster a winning culture. As a Data Engineer III, you'll design and deliver secure and scalable data solutions, developing critical data pipelines and architectures. This role offers the opportunity to work with cutting-edge technologies and collaborate with cross-functional teams to implement machine learning models into production systems. If you're passionate about data engineering and eager to contribute to innovative projects, this is the perfect opportunity for you.

Qualifications

• Experience in building and deploying machine learning models.
• Proficient in Python and developing APIs for model deployment.

Responsibilities

• Design and deploy machine learning models to solve business problems.
• Collaborate with teams to integrate ML models into production.

Skills

Data Engineering Concepts

Machine Learning Models

Python Programming

Statistics

Problem-Solving Skills

Communication Skills

Education

Formal Training or Certification in Data Engineering

Tools

PyTorch

Scikit-learn

NumPy

Pandas

AWS

Google Cloud

Azure

Git

Docker

Job description

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Client:

Location:

Glasgow, United Kingdom

Job Category:

Other

EU work permit required:

Yes

Job Reference:

3d22d9540af9

Job Views:

4

Posted:

02.05.2025

Expiry Date:

16.06.2025

Job Description:

Be part of a dynamic team where your distinctive skills will contribute to a winning culture and team.

As a Data Engineer III at JPMorgan Chase within the Developer Platforms and Insights team, you serve as a seasoned member of an agile team to design and deliver trusted data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. You are responsible for developing, testing, and maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

1. Design, develop, and deploy machine learning models to solve complex business problems.
2. Collaborate with cross-functional teams to integrate ML models into production systems.
3. Utilize PyTorch, Scikit-learn, NumPy, and Pandas for data analysis and model development.
4. Develop and maintain APIs for model deployment and integration.
5. Fine-tune large language models to enhance performance and accuracy.
6. Apply deep learning architectures such as LSTMs and Transformers to relevant projects.
7. Stay updated with the latest advancements in generative AI and implement innovative solutions.
8. Conduct statistical analysis to support model development and validation.

Required qualifications, capabilities, and skills

1. Formal training or certification on Data engineering concepts and applied experience.
2. Proven experience in building and deploying machine learning models.
3. Hands-on experience with PyTorch, Scikit-learn, NumPy, and Pandas.
4. Proficient in Python programming language and building APIs.
5. Solid understanding of statistics and machine learning theory.
6. Experience with deep learning architectures, including LSTMs and Transformers.
7. Experience in fine-tuning large language models.
8. Knowledge of generative AI (GenAI) technologies.
9. Strong problem-solving skills and the ability to work independently and collaboratively.
10. Excellent communication skills to convey complex technical concepts to non-technical stakeholders.

Preferred qualifications, capabilities, and skills

1. Experience with cloud platforms such as AWS, Google Cloud, or Azure.
2. Familiarity with version control systems like Git.
3. Experience in deploying models using containerization technologies like Docker.