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1,527

Law jobs in United States

Lead AI/ML Software Engineer

J.P. MORGAN

Scotland
On-site
GBP 80,000 - 100,000
30+ days ago
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J.P. Morgan Markets Product Marketing - Vice President - London | London, UK

JPMorgan Chase & Co.

London
On-site
GBP 90,000 - 120,000
30+ days ago

Conveyancer

ENL Legal Recruitment

West Midlands Combined Authority
On-site
GBP 60,000 - 80,000
30+ days ago

Staff Data Engineer

Sotheby's

London
On-site
GBP 60,000 - 80,000
30+ days ago

Senior Analyst, Energy Efficiency Performance

Royal Caribbean International

Weybridge
On-site
GBP 50,000 - 70,000
30+ days ago
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NPI Project Manager

Rhian_Convatec

Wales
Remote
GBP 60,000 - 80,000
30+ days ago

Scientist II (1-year contract)

Rhian_Convatec

Wales
On-site
GBP 30,000 - 50,000
30+ days ago

Container Security Engineer - VP

Citigroup, Inc.

London
Hybrid
GBP 125,000 - 150,000
30+ days ago
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Principal Scientist - Ecotoxicology

Labcorp

United Kingdom
On-site
GBP 125,000 - 150,000
30+ days ago

Senior Analyst, Energy Efficiency Performance

Royal Caribbean Group

Weybridge
On-site
GBP 45,000 - 65,000
30+ days ago

RESTRUCTURING PARTNER to c. 800k

Noble Legal Limited

United Kingdom
Remote
GBP 300,000 - 340,000
30+ days ago

Field Operations Manager

BOARD Deutschland GmbH

London
On-site
GBP 70,000 - 90,000
30+ days ago

Partner Development Representative - United Kingdom

TRAILD PTY LTD

City Of London
Hybrid
GBP 150,000 - 200,000
30+ days ago

Head of IT Commercial Governance

PIB Group Limited

Retford
On-site
GBP 70,000 - 90,000
30+ days ago

Product Development Manager

pladis

High Wycombe
On-site
GBP 45,000 - 60,000
30+ days ago

Work from home Online Tutor Law - Part Time

FindTutors

Oxford
Hybrid
GBP 10,000 - 40,000
30+ days ago

Senior Quality Engineer

Raytheon Technologies

Leighton Buzzard
On-site
GBP 40,000 - 60,000
30+ days ago

Senior Principal Scientist, Computational Chemist

Jazz Pharmaceutical

Cambridge
On-site
GBP 45,000 - 70,000
30+ days ago

Requirement Lead Engineer

Alstom

Derby
On-site
GBP 48,000 - 50,000
30+ days ago

Environmental Manager

DCC plc

Uttoxeter
On-site
GBP 45,000 - 60,000
30+ days ago

Store Manager (40 hours) - Cotswolds

Under Armour, Inc

Tewkesbury
On-site
GBP 30,000 - 45,000
30+ days ago

Senior Manufacturing Test Engineer (Electronics)

Raytheon Systems

Glenrothes
On-site
GBP 80,000 - 100,000
30+ days ago

Compliance Documentation Owner

GlaxoSmithKline

Irvine
On-site
GBP 25,000 - 35,000
30+ days ago

Plant Operator

Stericycle

Bridgend
On-site
GBP 20,000 - 25,000
30+ days ago

Senior Sales Director Enterprise Digital Sales

ServiceNow

Staines-upon-Thames
On-site
GBP 70,000 - 100,000
30+ days ago

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Lead AI/ML Software Engineer
J.P. MORGAN
Scotland
On-site
GBP 80,000 - 100,000
Full time
30+ days ago

Job summary

A global leader in financial services is seeking a Machine Learning Lead Software Engineer in Scotland to build and manage ML services. The role involves collaborating with teams to develop advanced AI/ML solutions, mentoring engineers, and optimizing model deployments. Required qualifications include a degree in Computer Science and extensive experience with frameworks like TensorFlow and PyTorch. Join us to impact global business in a dynamic environment.

Benefits

Diversity and inclusion initiatives
Competitive compensation

Qualifications

  • Formal training or certification on Python and AI/ML engineering concepts.
  • Demonstrated experience in applied AI/ML engineering.
  • Proficiency in programming languages like Python for model development.

Responsibilities

  • Work closely with product managers and data scientists to understand requirements.
  • Design, develop, and deploy AI/ML solutions to meet business objectives.
  • Develop and maintain automated pipelines for model deployment.

Skills

Python
Deep Learning
MLOps
Collaboration

Education

Bachelor's or Master's degree in Computer Science

Tools

TensorFlow
PyTorch
AWS
Docker
Kubernetes
Job description
Job Description

Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area? This is a unique opportunity apply your skills and have a direct impact on global business. You will be building production-grade ML services, developing end-to-end ML pipelines, and collaborating to develop large-scale data modeling experiments. Your expertise in Python, PySpark, DL frameworks like TensorFlow, and MLOps will be crucial in this role.

As a Machine Learning Lead Software Engineer at JPMorgan Chase within the Corporate Oversight and Governance Technology AI/ML team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.

Job responsibilities
  • Work closely with product managers, data scientists, ML engineers, and other stakeholders to understand requirements and prioritize use cases.
  • Design, develop, and deploy state-of-the-art AI/ML/LLM/GenAI solutions to meet business objectives.
  • Manage, mentor, and guide a team of ML and MLOps engineers.
  • Develop and maintain automated pipelines for model deployment, ensuring scalability, reliability, and efficiency.
  • Implement optimization strategies to fine-tune generative models for specific NLP use cases, ensuring high-quality outputs in summarization and text generation.
  • Conduct thorough evaluations of generative models (e.g., GPT-4.1), iterate on model architectures, and implement improvements to enhance overall performance in NLP applications.
  • Implement monitoring mechanisms to track model performance in real-time and ensure model reliability.
  • Communicate AI/ML/LLM/GenAI capabilities and results to both technical and non-technical audiences.
  • Stay informed about the latest trends and advancements in the latest AI/ML/LLM/GenAI research, implement cutting-edge techniques, and leverage external APIs for enhanced functionality.

Required qualifications, capabilities, and skills
  • Formal training or certification on Python and AI/ML engineering concepts and proficient advanced experience
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field
  • Demonstrated experience in applied AI/ML engineering, with a track record of developing and deploying business critical machine learning models in production.
  • Proficiency in programming languages like Python for model development, experimentation, and integration with OpenAI API.
  • Experience with machine learning frameworks, libraries, and APIs, such as TensorFlow, PyTorch, Scikit-learn, and OpenAI API.
  • Experience with cloud computing platforms (e.g., AWS, Azure, or Google Cloud Platform), containerization technologies (e.g., Docker and Kubernetes), and microservices design, implementation, and performance optimization.
  • Solid understanding of fundamentals of statistics, machine learning (e.g., classification, regression, time series, deep learning, reinforcement learning), and generative model architectures, particularly GANs, VAEs.
  • Ability to identify and address AI/ML/LLM/GenAI challenges, implement optimizations and fine-tune models for optimal performance in NLP applications.
  • Strong collaboration skills to work effectively with cross-functional teams, communicate complex concepts, and contribute to interdisciplinary projects.
  • A portfolio showcasing successful applications of generative models in NLP projects, including examples of utilizing OpenAI APIs for prompt engineering.

Preferred qualifications, capabilities, and skills
  • Familiarity with the financial services industries.
  • Expertise in designing and implementing pipelines using Retrieval-Augmented Generation (RAG).
  • Hands-on knowledge of Chain-of-Thoughts, Tree-of-Thoughts, Graph-of-Thoughts prompting strategies.

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. Visit our FAQs for more information about requesting an accommodation.

About The Team

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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