At a Glance
- Tasks: Lead innovative AI and ML projects, optimising workflows and enhancing technology solutions.
- Company: Join J.P. Morgan, a global leader in financial services, driving innovation and excellence.
- Benefits: Enjoy a diverse workplace with opportunities for growth, remote work options, and corporate perks.
- Why this job: Shape the future of intelligent testing while collaborating with top talent in a dynamic environment.
- Qualifications: Must have a degree in Computer Science or related field, with strong Python and ML experience.
- Other info: Diversity and inclusion are core values; we welcome applicants from all backgrounds.
The predicted salary is between 48000 - 72000 £ per year.
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Senior Lead Software Engineer at JPMorgan Chase within the AI and Machine Learning Data Platform Team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.
The test engineering team is at the forefront of innovation, developing intelligent agents powered by top foundational models to enhance the development and testing experience for our teams and partners. We build solutions that automate quality workflows, accelerate debugging, and enable smarter decision-making across SDLC. Join us in shaping the future of intelligent testing through cutting-edge AI and model-driven engineering.
Job responsibilities:
- Serves as a subject matter expert on a wide range of ML techniques and optimizations.
- Provides in-depth knowledge of ML algorithms, frameworks, and techniques.
- Enhances ML workflows through advanced proficiency in large language models (LLMs) and related techniques.
- Conducts experiments using latest ML technologies, analyzing results, tuning models.
- Provides hands-on coding to bring the experimental results into production solutions by collaborating with the engineering team.
- Owns end-to-end code development in Python for both proof of concept/experimentation and production-ready solutions.
- Optimizes system accuracy and performance by identifying and resolving inefficiencies and bottlenecks.
- Collaborates with product and engineering teams to deliver tailored, science and technology-driven solutions.
- Integrates Generative AI within the ML Platform using state-of-the-art techniques.
Required qualifications, capabilities, and skills:
- Formal training or certification (MS and/or PhD) in Computer Science, Machine Learning, or a related field, with applied machine learning concepts experience.
- Experience in one of the programming languages like Python, Java, C/C++, etc. Intermediate Python is a must.
- Experience in applying data science, ML techniques to solve business problems.
- Solid background in Natural Language Processing (NLP) and Large Language Models (LLMs).
- Hands-on experience with machine learning and deep learning methods.
- Deep understanding and expertise in deep learning frameworks such as PyTorch or TensorFlow.
- Experience in advanced applied ML areas such as GPU optimization, fine-tuning, embedding models, inferencing, prompt engineering, evaluation, RAG (Similarity Search).
- Ability to work on tasks and projects through to completion with limited supervision.
- Passion for detail and follow-through.
- Excellent communication skills and team player.
Preferred qualifications, capabilities, and skills:
- Master's degree in computer science, ML or related areas.
- Experience with Ray, MLFlow, and/or other distributed training frameworks.
- In-depth understanding of Search/Ranking, Recommender systems, Graph techniques, and other advanced methodologies.
- Deep understanding of Large Language Model (LLM) techniques, including Agents, Planning, Reasoning, and other related methods.
- Experience with building and deploying ML models on cloud platforms such as AWS and AWS tools like Sagemaker, EKS, etc.
- Experience working with large-scale MLOps pipelines, working with and deploying models to production services.
About Us:
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. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
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.
About the Team:
J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
Senior Lead Software Engineering - Python / AI / Machine Learning | Bournemouth, UK employer: JPMorgan Chase & Co.
Contact Detail:
JPMorgan Chase & Co. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Lead Software Engineering - Python / AI / Machine Learning | Bournemouth, UK
✨Tip Number 1
Familiarise yourself with the latest advancements in AI and machine learning, particularly focusing on large language models (LLMs) and their applications. This knowledge will not only help you during interviews but also demonstrate your passion for the field.
✨Tip Number 2
Engage with the community by participating in relevant forums or attending meetups related to Python and machine learning. Networking with professionals in the industry can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Showcase your hands-on experience with machine learning frameworks like PyTorch or TensorFlow through personal projects or contributions to open-source. Having tangible examples of your work can set you apart from other candidates.
✨Tip Number 4
Prepare for technical interviews by practicing coding challenges specifically in Python. Focus on algorithms and data structures that are commonly used in machine learning applications to ensure you're ready to tackle any problem presented.
We think you need these skills to ace Senior Lead Software Engineering - Python / AI / Machine Learning | Bournemouth, UK
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, AI, and machine learning. Focus on relevant projects and roles that demonstrate your expertise in these areas, especially any hands-on experience with ML algorithms and frameworks.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and machine learning. Discuss specific projects where you've applied ML techniques and how they relate to the responsibilities outlined in the job description. Show enthusiasm for the role and the company.
Highlight Relevant Skills: Clearly list your technical skills related to the job, such as proficiency in Python, experience with deep learning frameworks like PyTorch or TensorFlow, and familiarity with NLP and LLMs. Use bullet points for clarity.
Showcase Problem-Solving Abilities: Provide examples of how you've solved complex problems using machine learning techniques. This could include optimising workflows, improving system performance, or integrating AI solutions. Use metrics to quantify your impact where possible.
How to prepare for a job interview at JPMorgan Chase & Co.
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with Python, machine learning algorithms, and frameworks like PyTorch or TensorFlow. Highlight specific projects where you've applied these skills, especially in relation to large language models and natural language processing.
✨Demonstrate Problem-Solving Skills
Expect to face technical challenges during the interview. Be ready to explain how you've tackled complex problems in the past, particularly those involving ML techniques and optimisations. Use examples that showcase your analytical thinking and ability to optimise system performance.
✨Communicate Clearly and Effectively
Strong communication skills are essential for this role. Practice explaining complex technical concepts in simple terms, as you may need to collaborate with non-technical stakeholders. Show that you can articulate your thoughts clearly and listen actively.
✨Prepare for Behavioural Questions
In addition to technical questions, be ready for behavioural interviews. Reflect on your past experiences, focusing on teamwork, leadership, and how you handle feedback. Use the STAR method (Situation, Task, Action, Result) to structure your responses.