NLP / LLM Scientist - Applied AI ML Lead - Machine Learning Centre of Excellence | London, UK

JPMorgan Chase & Co.; London; On-site; GBP 60,000 - 120,000; Full time

Job summary

An innovative financial services firm is seeking a passionate NLP/LLM Scientist to join their Machine Learning Center of Excellence. In this dynamic role, you will leverage sophisticated machine learning techniques to tackle complex challenges such as natural language processing, speech analytics, and recommendation systems. Working collaboratively with diverse teams, you will develop and deploy cutting-edge solutions that drive business success. This position offers the opportunity to engage with the latest advancements in machine learning and contribute to impactful projects within a supportive and inclusive environment. If you are motivated by analytical challenges and eager to push the boundaries of technology, this is the perfect opportunity for you.

Qualifications

• Solid background in NLP, speech recognition, and deep learning methods.
• Ability to design experiments and evaluate model performance metrics.

Responsibilities

• Research new machine learning methods and develop state-of-the-art models.
• Collaborate with various teams to deploy solutions into production.

Skills

Natural Language Processing (NLP)

Deep Learning

Speech Recognition

Analytical Thinking

Machine Learning

Curiosity

Education

PhD in Computer Science or related field

MS with significant industry or research experience

Tools

TensorFlow

PyTorch

NumPy

Scikit-Learn

Pandas

Job description

NLP / LLM Scientist - Applied AI ML Lead - Machine Learning Centre of Excellence

Job Description

The Machine Learning Center of Excellence invites the successful candidate to apply sophisticated machine learning methods to a wide variety of complex tasks including natural language processing, speech analytics, time series, reinforcement learning and recommendation systems.

The candidate must excel in working in a highly collaborative environment together with the business, technologists and control partners to deploy solutions into production. The candidate must also have a strong passion for machine learning and invest independent time towards learning, researching and experimenting with new innovations in the field. The candidate must have solid expertise in Deep Learning with hands-on implementation experience and possess strong analytical thinking, a deep desire to learn and be highly motivated.

Job Responsibilities

• Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation and participating in our knowledge sharing community.
• Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as NLP, speech recognition and analytics, time-series predictions or recommendation systems.
• Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production.
• Drive Firm wide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business.

Required qualifications, capabilities, and skills

• Solid background in NLP or speech recognition and analytics, personalization/recommendation and hands-on experience and solid understanding of machine learning and deep learning methods.
• PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science with reasonable industry experience, or an MS with significant industry or research experience in the field.
• Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas).
• Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals.
• Experience with big data and scalable model training and solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences.
• Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments.
• Curious, hardworking and detail-oriented, and motivated by complex analytical problems.

Preferred qualifications, capabilities, and skills

• Strong background in Mathematics and Statistics and familiarity with the financial services industries and continuous integration models and unit test development.
• Knowledge in search/ranking, Reinforcement Learning or Meta Learning.
• Experience with A/B experimentation and data/metric-driven product development, cloud-native deployment in a large scale distributed environment and ability to develop and debug production-quality code.
• Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journal.

About MLCOE
The Machine Learning Center of Excellence (MCLOE) team partners across the firm to create and share Machine Learning Solutions for our most challenging business problems. In this role you will work and collaborate with a team comprised of a multi-disciplinary community of experts focused exclusively on Machine Learning. On this team you will work with cutting-edge techniques in disciplines such as Deep Learning and Reinforcement Learning.

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.