Lead Software Engineer - Python, AIML, Cloud in London

Lead Software Engineer - Python, AIML, Cloud in London

London 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: Collaborative environment with a focus on continuous learning and career growth.
  • 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. Morgan Chase 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 in London employer: TwinThread

J.P. Morgan Chase is an exceptional employer that fosters a collaborative and innovative work culture, particularly for those passionate about technology and machine learning. With a strong emphasis on employee growth, you will have access to continuous learning opportunities and the chance to work alongside industry experts in a dynamic environment. Located in a vibrant city, our team enjoys a diverse and inclusive workplace that values every individual's contribution, making it a rewarding place to advance your career.

TwinThread

Contact Details:

TwinThread Recruitment Team

StudySmarter Expert Advice🤫

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

Tip Number 1

Network like a pro! Reach out to folks in your industry on LinkedIn or at tech meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.

Tip Number 2

Show off your skills! Create a portfolio showcasing your Python projects, especially those involving AWS and AIML. This gives potential employers a taste of what you can do and sets you apart from the crowd.

Tip Number 3

Prepare for interviews by brushing up on common technical questions related to Python and cloud services. Practice coding challenges and be ready to discuss your past projects in detail—this is your chance to shine!

Tip Number 4

Don’t forget to apply through our website! We love seeing applications directly from candidates who are passionate about joining our team. Plus, it makes it easier for us to keep track of your application.

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

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. We love seeing enthusiasm and a clear understanding of the role.

Showcase Your Problem-Solving Skills:In your application, include examples of how you've tackled complex problems in past projects. We’re looking for creative thinkers who can navigate challenges, so share those success stories!

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team!

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 examples of how you've tackled complex problems in previous projects. Think about specific challenges you faced while developing or deploying applications and how you overcame them. This will demonstrate your analytical thinking and ability to collaborate with data scientists effectively.

Understand the SDLC

Familiarise yourself with the Software Development Life Cycle (SDLC) and be ready to discuss how you ensure that models are production-ready. Highlight your experience with version control, testing, and CI/CD practices, as these are crucial for maintaining high-quality applications.

Emphasise Collaboration

Since this role involves working closely with various teams, be prepared to talk about your experience in collaborative environments. Share instances where you led design discussions or code reviews, and how you’ve contributed to a culture of continuous learning and improvement within your team.