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- Tasks: Develop advanced AI models and automate processes to optimise business decisions.
- Company: Join JPMorganChase, a leader in AI innovation with a collaborative culture.
- Benefits: Competitive salary, health benefits, remote work options, and opportunities for professional growth.
- Why this job: Be at the forefront of AI technology and make a real impact on innovative projects.
- Qualifications: Advanced degree in STEM and experience in AI/ML model development.
- Other info: Dynamic environment with excellent career growth and mentorship opportunities.
The predicted salary is between 36000 - 60000 £ per year.
As a Software Engineer II - Applied AI in the AI/ML for Engineering team at JPMorganChase, you will be at the forefront of AI innovation, combining cutting-edge techniques with unique data assets to optimise business decisions and automate processes. This role offers a unique blend of artificial intelligence and software engineering, allowing you to advance engineering processes and build impactful products.
In this role, you will leverage the latest research in Large Language Models, Natural Language Processing and statistical machine learning to build AI-powered products that automate processes and enhance decision-making. You will collaborate with engineering and testing teams to design scalable Machine Learning services and communicate AI capabilities to diverse audiences.
Job Responsibilities- Development of advanced machine learning models to address complex operational challenges.
- Evaluating and communicating the impact brought by proposed solutions.
- Architect and oversee the deployment of generative AI applications and agents to automate and enhance business processes.
- Collaborate with senior stakeholders to understand strategic business needs and translate them into comprehensive technical solutions.
- Analyze large datasets to extract actionable insights and support data-driven decision-making at a strategic level.
- Ensure the scalability, reliability, and security of AI/ML solutions in a production environment, with a focus on long-term sustainability.
- Stay informed about the latest advancements in AI/ML technologies and drive their integration into our operations.
- Mentor and guide junior team members, fostering a culture of innovation and continuous learning.
- Advanced degree in a STEM field (Degree in Computer Science or Software Engineering), with experience in AI/ML.
- Proven track record of AI/ML model development and deployment of AI/ML applications in a production environment, with expertise in deploying models on AWS platforms.
- Deep familiarity with MLOps practices, covering the full cycle from design, experimentation, deployment, to monitoring and maintenance of machine learning models.
- Expertise in machine learning frameworks such as TensorFlow, PyTorch, PyTorch Lightning, or Scikit-learn.
- Proficiency in Python with a strong emphasis on code quality and reliability through comprehensive testing.
- Extensive experience with generative AI models, mainly as cloud service APIs (e.g., OpenAI).
- Experience with integrating user feedback to establish self‑improving AI applications.
- Solid understanding of data preprocessing, feature engineering, and model evaluation techniques.
- Familiarity with cloud platforms (AWS).
- Excellent problem‑solving skills and the ability to work independently and collaboratively.
- Strong communication skills to effectively convey complex technical concepts to non‑technical stakeholders.
- A Ph.D. is a plus but not required.
- Experience in software engineering practices.
- Experience in developing AI solutions using agentic frameworks.
- Experience fine‑tuning LLMs with advanced techniques.
- Experience with prompt optimisation to enhance the performance and effectiveness of prompt engineering.
- Demonstrated ability to design and implement AI application architecture.
- Significant experience in bringing AI applications to production with a focus on strategic impact and innovation.
Software Engineer II - Applied AI in London employer: Jpmorgan Chase & Co.
Contact Detail:
Jpmorgan Chase & Co. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer II - Applied AI in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI/ML space, especially those at JPMorganChase. Attend meetups, webinars, or even just connect on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving machine learning models and generative AI. This is your chance to demonstrate your expertise and make a lasting impression.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with MLOps, AWS, and how you've tackled complex problems in the past. Practice makes perfect!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Software Engineer II - Applied AI in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Software Engineer II - Applied AI role. Highlight your experience with AI/ML, especially any projects involving large language models or machine learning frameworks like TensorFlow and PyTorch. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a great fit for our team. Don’t forget to mention any relevant experience with AWS or MLOps practices, as these are key for us.
Showcase Your Projects: If you've worked on any AI-powered products or have experience in deploying models, make sure to showcase these in your application. We love seeing real-world applications of your skills, so include links to your GitHub or any live projects if possible!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to fill out all the necessary details in one go. Plus, it helps us keep track of your application better!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your AI Stuff
Make sure you brush up on the latest advancements in AI and ML, especially around Large Language Models and Natural Language Processing. Be ready to discuss your experience with machine learning frameworks like TensorFlow or PyTorch, and how you've applied them in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of complex operational challenges you've tackled using AI/ML. Think about how you evaluated the impact of your solutions and be ready to explain your thought process clearly, as this will demonstrate your analytical skills.
✨Communicate Like a Pro
Since you'll need to convey complex technical concepts to non-technical stakeholders, practice explaining your projects in simple terms. Use analogies or relatable examples to make your points clear, showing that you can bridge the gap between tech and business.
✨Collaborate and Mentor
Highlight any experience you have in mentoring junior team members or collaborating with cross-functional teams. Discuss how you foster a culture of innovation and continuous learning, as this aligns well with the collaborative nature of the role.
