At a Glance
- Tasks: Lead AI projects to revolutionise business decisions and automate processes in finance.
- Company: Join JPMorgan's innovative Commercial & Investment Bank team.
- Benefits: Competitive salary, career growth, and the chance to work with cutting-edge technology.
- Other info: Dynamic role with opportunities for management and collaboration across teams.
- Why this job: Make a real impact by advancing AI in financial services.
- Qualifications: Masters or PhD in a quantitative field and hands-on ML engineering experience required.
The predicted salary is between 80000 - 100000 £ per year.
Take a technical leadership position within JPMorgan’s Commercial & Investment Bank, where you’ll harness cutting‑edge AI techniques to revolutionize business decisions and automate processes. As an Applied AI / ML Lead – Vice President – Machine Learning Engineer in the Applied AI ML team at JPMorgan Commercial & Investment Bank, you will be at the forefront of combining cutting‑edge AI techniques with the company’s unique data assets to optimize business decisions and automate processes. You will have the opportunity to advance the state‑of‑the‑art in AI as applied to financial services, leveraging the latest research from fields of Natural Language Processing, Computer Vision, and statistical machine learning. You will be instrumental in building products that automate processes, help experts prioritize their time, and make better decisions. We have a growing portfolio of AI‑powered products and services and increasing opportunity for re‑use of foundational components through careful design of libraries and services to be leveraged across the team. This role offers a unique blend of scientific research and software engineering, requiring a deep understanding of both mindsets. The role is initially that of an individual contributor, though there will be optional opportunity for management responsibility dependent on the candidate’s experience.
Job responsibilities
- Build robust Data Science capabilities which can be scaled across multiple business use cases
- Collaborate with software engineering team to design and deploy Machine Learning services that can be integrated with strategic systems
- Research and analyse data sets using a variety of statistical and machine learning techniques
- Communicate AI capabilities and results to both technical and non‑technical audiences
- Document approaches taken, techniques used and processes followed to comply with industry regulation
- Collaborate closely with cloud and SRE teams while taking a leading role in the design and delivery of the production architectures for our solutions
Required qualifications, capabilities, and skills
- Hands on experience in an ML engineering role
- Masters degree or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Statistics
- Track record of developing, deploying business critical machine learning models
- Broad knowledge of MLOps tooling – for versioning, reproducibility, observability etc.
- Experience monitoring, maintaining, enhancing existing models over an extended time period
- Specialism in NLP or Computer Vision
- Solid understanding of fundamentals of statistics, optimization and ML theory
- Familiarity with popular deep learning architectures (transformers, CNN, autoencoders etc.)
- Extensive experience with PyTorch, NumPy, pandas
- Hands‑on experience in implementing distributed/multi‑threaded/scalable applications (incl. frameworks such as Ray, Horovod, DeepSpeed, etc.)
- Able to communicate technical information and ideas at all levels; convey information clearly and create trust with stakeholders.
Preferred qualifications, capabilities, and skills
- Experience designing/implementing pipelines using DAGs (e.g. Kubeflow, DVC, Ray)
- Experience of big data technologies (e.g. Spark, Hadoop)
- Have constructed batch and streaming microservices exposed as REST/gRPC endpoints
- Familiarity with GraphQL
Level of experience
Senior (5+ years of experience)
Applied AI ML Lead – DocAI in London employer: NLP PEOPLE
JPMorgan is an exceptional employer, offering a dynamic work environment where innovation meets collaboration. As an Applied AI ML Lead in the heart of the UK's financial hub, you will have access to cutting-edge technology and a wealth of resources, fostering both personal and professional growth. The company prioritises employee development through continuous learning opportunities and encourages a culture of inclusivity and teamwork, making it an ideal place for those looking to make a meaningful impact in the financial services sector.
StudySmarter Expert Advice🤫
We think this is how you could land Applied AI ML Lead – DocAI in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and ML. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on both technical and soft skills. Practice explaining complex concepts in simple terms – it’s key for communicating with non-techies.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting roles, and applying directly can sometimes give you an edge over the competition.
We think you need these skills to ace Applied AI ML Lead – DocAI in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your hands-on experience in ML engineering and any relevant projects you've worked on. We want to see how you've applied your knowledge in real-world scenarios, especially in NLP or Computer Vision.
Tailor Your Application:Don’t just send a generic CV and cover letter! Tailor your application to reflect the specific skills and experiences that match the job description. We love seeing candidates who take the time to connect their background with what we’re looking for.
Be Clear and Concise:When writing your application, keep it clear and to the point. Use straightforward language to communicate your technical expertise and ensure that even non-technical folks can understand your contributions. We appreciate clarity!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to track your application and get back to you quickly. Don’t miss out on this opportunity!
How to prepare for a job interview at NLP PEOPLE
✨Know Your AI Stuff
Make sure you brush up on the latest AI techniques, especially in Natural Language Processing and Computer Vision. Be ready to discuss your hands-on experience with machine learning models and how you've applied them in real-world scenarios.
✨Showcase Your Collaboration Skills
This role involves working closely with software engineering teams and other stakeholders. Prepare examples of past collaborations where you successfully communicated complex technical concepts to non-technical audiences. Highlight how you built trust and facilitated teamwork.
✨Demonstrate Your Problem-Solving Abilities
Be prepared to tackle hypothetical scenarios or case studies during the interview. Think about how you would approach building scalable data science capabilities or deploying machine learning services. Show your thought process and how you would leverage MLOps tooling.
✨Prepare for Technical Questions
Expect deep dives into your technical knowledge, especially around statistics, optimization, and ML theory. Brush up on popular deep learning architectures and be ready to discuss your experience with frameworks like PyTorch and big data technologies. Confidence is key!
