Lead Software Engineer - Python, AIML, Cloud

Lead Software Engineer - Python, AIML, Cloud

Full-Time 80000 - 100000 £ / year (est.) No working from home possible
TwinThread

At a Glance

  • Tasks: Lead the development of innovative ML solutions using Python and AWS.
  • Company: Join J.P. Morgan Chase, a leader in tech innovation and diversity.
  • Benefits: Enjoy competitive pay, health perks, and opportunities for remote work.
  • Other info: Be part of a diverse team with excellent career growth potential.
  • Why this job: Make a real impact by engineering cutting-edge AI/ML applications.
  • Qualifications: Experience in Python and cloud services, with strong problem-solving skills.

The predicted salary is between 80000 - 100000 £ per year.

J.P.MorganChase is seeking a Lead Software Engineer with expertise in AWS and Python, and a passion for Machine Learning, to help engineer and deploy innovative ML solutions into production. You will collaborate with the Applied AI/ML group and technology teams across the firm, contributing to both new and ongoing projects. In this role, you will work alongside Data Scientists to build cloud-based frameworks for hosting machine learning models, providing software engineering expertise throughout the model development lifecycle. You will leverage both internal and external cloud platforms, utilizing proprietary and open-source tools to ensure models meet SDLC standards, are production-ready, and can be deployed efficiently. The position requires close interaction with platform developers, engineering communities, and the integration of existing and new technologies.

Job Responsibilities

  • Develop and maintain high-quality, secure applications using Python and AWS
  • Create architecture and design deliverables, lead design and architecture reviews, promote best practice
  • Integrate AIML solutions into complex, domain-specific operations processing systems
  • Lead code reviews, design discussions, and agile planning sessions
  • Collaborate with SRE and production monitoring teams to ensure system reliability and performance
  • Contribute to software engineering communities of practice and technology events
  • Embrace continuous learning, creative problem-solving, and a can-do attitude

Required Qualifications, Capabilities, and Skills

  • Bachelor’s degree or higher in Computer Science, Engineering, or a related field, or equivalent formal training/certification
  • Proven hands-on experience in Python application development
  • Proven hands-on experience developing, debugging and maintaining production applications
  • Solid understanding of software development best practices, including version control, testing, and CI/CD
  • Strong problem-solving, communication, and collaboration skills, with the ability to convey design choices and communicate effectively with stakeholders
  • Experience working on AIML systems and/or prior experience collaborating with data scientists
  • Track record of designing, building, and delivering maintainable, extensible applications into production environments

Preferred Qualifications, Capabilities, and Skills

  • Experience with Cloud services, Infrastructure as Code (IaC, Terraform) and containerized application development
  • Familiarity with data storage systems (e.g., Postgres, OpenSearch) and AWS services such as S3, SageMaker, and Bedrock
  • Practical experience with Kubernetes, EKS, Docker, Kafka, MLOps, Large Language Model Operations (LLMOps), Event Driven Systems.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.

Lead Software Engineer - Python, AIML, Cloud employer: TwinThread

At J.P. Morgan Chase, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Lead Software Engineer, you will have the opportunity to work with cutting-edge technologies in a supportive environment that encourages continuous learning and professional growth. Our commitment to diversity and inclusion ensures that every employee feels valued and empowered to contribute their unique talents to our global team.

TwinThread

Contact Details:

TwinThread Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Lead Software Engineer - Python, AIML, Cloud

Tip Number 1

Network like a pro! Reach out to folks in your industry, especially those at J.P. Morgan Chase. A friendly chat can open doors that a CV just can't.

Tip Number 2

Show off your skills! Create a portfolio showcasing your Python and AWS projects. This is your chance to demonstrate your expertise in AIML and cloud solutions.

Tip Number 3

Prepare for the interview by brushing up on your problem-solving skills. Be ready to discuss how you've tackled challenges in past projects, especially in collaboration with data scientists.

Tip Number 4

Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative!

We think you need these skills to ace Lead Software Engineer - Python, AIML, Cloud

Python
AWS
Machine Learning
Software Development Best Practices
Version Control
Testing
CI/CD

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your experience with Python and AWS, as well as any work you've done in AIML. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about machine learning and how you can contribute to our team. Keep it engaging and personal – we love to see your personality come through.

Showcase Your Problem-Solving Skills:In your application, highlight specific examples where you've tackled complex problems, especially in software development. We’re looking for creative thinkers who can bring innovative solutions to the table!

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts!

How to prepare for a job interview at TwinThread

Know Your Tech Stack

Make sure you’re well-versed in Python, AWS, and any AIML tools mentioned in the job description. Brush up on your knowledge of cloud services and containerization technologies like Docker and Kubernetes. Being able to discuss these confidently will show that you’re ready to hit the ground running.

Showcase Your Problem-Solving Skills

Prepare to discuss specific examples where you've tackled complex problems, especially in software development or machine learning contexts. Use the STAR method (Situation, Task, Action, Result) to structure your answers, making it easier for interviewers to see your thought process and impact.

Collaborate Like a Pro

Since this role involves working closely with data scientists and other tech teams, be ready to talk about your collaboration experiences. Highlight how you’ve contributed to team projects, led discussions, or facilitated code reviews. This will demonstrate your ability to work effectively in a team environment.

Embrace Continuous Learning

J.P. Morgan Chase values a can-do attitude and continuous learning. Share examples of how you’ve kept your skills sharp, whether through online courses, attending tech meetups, or contributing to open-source projects. This shows that you’re proactive and committed to personal and professional growth.