At a Glance
- Tasks: Develop advanced AI models and collaborate on innovative solutions to real-world problems.
- Company: Join J.P. Morgan, a global leader in financial services with a people-first culture.
- Benefits: Competitive salary, diverse work environment, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on innovation and continuous learning.
- Why this job: Make a real impact with cutting-edge AI technology while nurturing your skills.
- Qualifications: Advanced degree in STEM and experience in AI/ML model development required.
The predicted salary is between 70000 - 90000 £ per year.
Out of the successful launch of Chase in 2021, we’re a new team, with a new mission. We’re creating products that solve real world problems and put customers at the center - all in an environment that nurtures skills and helps you realize your potential. Our team is key to our success. We’re people‑first. We value collaboration, curiosity and commitment.
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.
Required Qualifications, Capabilities, And Skills
- 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.
Preferred Qualifications, Capabilities, And Skills
- 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.
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. 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.
Software Engineer III - Applied AI in London employer: TwinThread
At J.P. Morgan, we pride ourselves on being a people-first organisation that fosters a collaborative and innovative work culture. As a Software Engineer III in Applied AI, you will have the opportunity to work on cutting-edge machine learning projects that directly impact our customers, while benefiting from a supportive environment that encourages professional growth and continuous learning. With a strong commitment to diversity and inclusion, we ensure that every team member's unique talents are valued, making us an exceptional employer in the financial services sector.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer III - Applied AI in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. 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 AI/ML projects, especially those that highlight your experience with generative AI and cloud platforms like AWS. This will give you an edge and demonstrate your hands-on expertise.
✨Tip Number 3
Prepare for interviews by brushing up on your problem-solving skills and technical knowledge. Be ready to discuss your past projects and how you've tackled complex challenges. Practice explaining your work in simple terms for non-technical stakeholders.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're genuinely interested in being part of our people-first team at StudySmarter.
We think you need these skills to ace Software Engineer III - Applied AI in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your AI/ML expertise and any relevant projects you've worked on. We want to see how you can contribute to our mission!
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 aligns with our team’s goals. Let us know what excites you about working at StudySmarter.
Showcase Your Projects:If you've developed any AI/ML models or applications, make sure to include them in your application. We love seeing real-world examples of your work, especially if they demonstrate your problem-solving skills and creativity.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at TwinThread
✨Know Your AI/ML Stuff
Make sure you brush up on your knowledge of machine learning frameworks like TensorFlow and PyTorch. Be ready to discuss your experience with deploying models on AWS and how you've tackled complex operational challenges in the past.
✨Showcase Your Problem-Solving Skills
Prepare examples that highlight your problem-solving abilities, especially in data-driven decision-making. Think about specific instances where you've analysed large datasets to extract actionable insights and how that impacted your previous projects.
✨Communicate Clearly
Since you'll need to convey complex technical concepts to non-technical stakeholders, practice explaining your past projects in simple terms. This will show your ability to collaborate effectively and ensure everyone is on the same page.
✨Emphasise Collaboration and Mentorship
Be ready to discuss how you've worked with teams in the past and any mentoring experiences you've had. Highlight your commitment to fostering a culture of innovation and continuous learning, as this aligns with the team's values.