At a Glance
- Tasks: Transform cutting-edge AI research into scalable applications and mentor junior engineers.
- Company: Join J.P. Morgan, a global leader in financial services with a focus on innovation.
- Benefits: Competitive salary, diverse culture, and opportunities for professional growth.
- Other info: Collaborative environment that values diversity, inclusion, and continuous improvement.
- Why this job: Make a real impact by developing AI solutions that drive business success.
- Qualifications: Experience in software engineering, Python proficiency, and a passion for AI/ML.
The predicted salary is between 63000 - 77000 £ per year.
Help turn cutting edge AI research into real, production grade capabilities used across the firm. You will build secure, scalable platforms and applications that accelerate experimentation while meeting high engineering standards. You will partner closely with AI Researchers and Data Scientists to move prototypes into optimized, reliable solutions. You will grow your influence by mentoring others and helping shape team practices. You will join a team that values collaboration, inclusion, and continuous improvement.
As a Software Engineer III in AI and Machine Learning Data Platforms, you will deliver critical technology solutions that support the firm's business objectives. You will work directly with AI Research and the Machine Learning Center of Excellence to advance experiments into robust, scalable applications. You will build platform and application capabilities, including generative AI solutions, with a focus on security, stability, and operational excellence. You will contribute to an engineering culture that values strong delivery practices, mentorship, and inclusive teamwork.
Job Responsibilities
- Collaborate with Data Scientists and AI Researchers to advance experiments into scalable, optimized, production grade applications.
- Develop software applications for AI and machine learning platforms, including generative AI applications such as agents.
- Design and troubleshoot technical solutions using creative problem solving to address complex engineering challenges.
- Identify and automate remediation for recurring issues and developer pain points to improve operational efficiency.
- Deliver solutions using continuous integration and continuous delivery pipelines to public and private cloud platforms.
- Support experimentation environments, including tools such as Jupyter Notebooks.
- Mentor junior engineers and help drive engineering practices across the team and with research partners.
- Contribute to a team culture of diversity, opportunity, inclusion, and respect.
- Leverage enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables.
- Apply knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation.
Required Qualifications, Capabilities, and Skills
- Formal training or certification in software engineering concepts with applied full stack development experience.
- Practical experience developing infrastructure as code, ideally using Terraform.
- Hands-on experience building applications, testing, and supporting operational stability.
- Proficiency in at least one programming language, with a strong focus on Python.
- Experience with automation and continuous integration, delivery, and testing methods.
- Working knowledge of the Software Development Life Cycle and Model Development Life Cycle.
- Understanding of agile methodologies and basic proficiency with architectural frameworks.
- Demonstrated experience in platform development within a technical discipline such as cloud, artificial intelligence, or machine learning.
- Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment.
- Understanding of responsible AI use in engineering workflows, including data sensitivity considerations and secure handling of inputs/outputs.
Preferred Qualifications, Capabilities, and Skills
- Experience using AI tools to improve productivity and efficiency in daily work.
- Proactive approach to identifying issues and challenging the status quo constructively.
- Initiative in learning and adapting to new technologies and methodologies.
- Experience or exposure to business facing integrated application environments such as risk or trading.
- Strong problem solving skills with a focus on innovation and continuous improvement.
- Strong communication and collaboration skills across cross functional teams.
Software Engineer III - AI/ML Data Platforms - AI Engineer - Python employer: United States Digital Space LLC
United States Digital Space LLC is an exceptional employer, offering a dynamic work culture that prioritises innovation and collaboration in the heart of Greater London. With a strong focus on employee well-being and flexible work options, we provide ample opportunities for professional growth and development, making it an ideal environment for those looking to make a meaningful impact in the field of AI-enabled SaaS engineering.
Contact Details:
United States Digital Space LLC Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer III - AI/ML Data Platforms - AI Engineer - Python
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at United States Digital Space LLC or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
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✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like United States Digital Space LLC.
✨Explore Job Boards Specifically for Tech Roles
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We think you need these skills to ace Software Engineer III - AI/ML Data Platforms - AI Engineer - Python
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at United States Digital Space LLC.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at United States Digital Space LLC and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at United States Digital Space LLC
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If United States Digital Space LLC uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
