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

TN United Kingdom; London; On-site; GBP 60,000 - 100,000; Full time

Job summary

A forward-thinking company is seeking an NLP/LLM Scientist to lead innovative machine learning initiatives within their Machine Learning Centre of Excellence. This role involves developing cutting-edge models for natural language processing and speech analytics, collaborating with diverse teams to implement solutions that drive business success. Ideal candidates will possess a strong background in deep learning and machine learning, with a passion for continuous learning and experimentation. Join a dynamic environment where your contributions will shape the future of AI and machine learning applications in a rapidly evolving industry.

Qualifications

• Strong background in NLP, speech recognition, and analytics.
• PhD in Computer Science or related field with relevant experience.
• Experience with machine learning and deep learning toolkits.

Responsibilities

• Research and explore new machine learning methods.
• Develop machine learning models for NLP and speech recognition.
• Collaborate with cross-functional teams to deploy solutions.

Skills

Natural Language Processing (NLP)

Deep Learning

Machine Learning

Speech Recognition

Analytics

Reinforcement Learning

Collaboration Skills

Scientific Thinking

Education

PhD in a quantitative discipline

MS with significant experience

Tools

TensorFlow

PyTorch

NumPy

Scikit-Learn

Pandas

Job description

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

Location: London, United Kingdom

Job Category: Other

EU work permit required: Yes

Job Reference: 200cbf745518

Job Views: 13

Posted: 29.04.2025

Expiry Date: 13.06.2025

Job Description:

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

The Machine Learning Center of Excellence invites applications for a role involving sophisticated machine learning methods across tasks such as natural language processing, speech analytics, time series, reinforcement learning, and recommendation systems.

The candidate should excel in collaborative environments, working with business and technology partners to deploy solutions into production. A strong passion for machine learning, continuous learning, research, and experimentation is essential. The candidate must have solid expertise in Deep Learning with practical implementation experience, analytical skills, and motivation for innovation.

Job Responsibilities

1. Research and explore new machine learning methods through independent study, industry conferences, experimentation, and knowledge sharing.
2. Develop state-of-the-art machine learning models to solve real-world problems related to NLP, speech recognition, analytics, time-series predictions, or recommendation systems.
3. Collaborate with various teams such as Business, Technology, Product Management, Legal, Compliance, Strategy, and Business Management to deploy solutions into production.
4. Lead firm-wide initiatives by developing large-scale frameworks to accelerate machine learning application across business areas.

Required qualifications, capabilities, and skills

• Strong background in NLP, speech recognition, analytics, personalization/recommendation, with hands-on experience and understanding of machine learning and deep learning methods.
• PhD in a quantitative discipline (e.g., Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, Data Science) with relevant industry or research experience, or MS with significant experience.
• Experience with machine learning and deep learning toolkits such as TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas.
• Ability to design experiments, training frameworks, and evaluate model performance aligned with business goals.
• Experience with big data, scalable training, and effective communication skills for technical and non-technical audiences.
• Scientific thinking, independence, collaboration skills, curiosity, and motivation for solving complex problems.

Preferred qualifications, capabilities, and skills

• Strong background in Mathematics and Statistics, familiarity with financial services, CI/CD, and unit testing.
• Knowledge in search/ranking, Reinforcement Learning, or Meta Learning.
• Experience with A/B testing, cloud deployment, production-quality coding, and data-driven product development.
• Published research in relevant fields at major conferences or journals.

About MLCOE

The Machine Learning Center of Excellence (MLCOE) collaborates across the firm to create and share ML solutions for challenging business problems. The team works on cutting-edge techniques like Deep Learning and Reinforcement Learning. For more info, visit [link].

The Chief Data & Analytics Office (CDAO) at JPMorgan Chase leads the firm’s data and analytics initiatives, ensuring data quality, security, and leveraging data for insights, product development, productivity, and risk management.