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Netrolynx AI

AI ML Engineer

United Kingdom
Posted about 23 hours ago
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About The Company

J.P. Morgan is a renowned global leader in financial services, renowned for delivering strategic advice and innovative financial products to a diverse clientele that includes prominent corporations, governments, high-net-worth individuals, and institutional investors. With a long-standing history of excellence, J.P. Morgan emphasizes a client-centric approach, striving to build trusted, long-term relationships that help clients achieve their business and financial objectives. The firm is committed to maintaining the highest standards of integrity, innovation, and operational excellence in all its endeavors.

About The Role

We are seeking a highly skilled Senior Associate, Applied AI/ML Engineer, to join our Applied AI/ML team. In this pivotal role, you will be instrumental in supporting our clients and internal teams in building, deploying, and managing AI and machine learning models and agentic systems. Your expertise will ensure these systems operate safely, reliably, and at scale, aligning with industry best practices and firm-wide standards for responsible AI use. You will collaborate closely with cross-functional teams, leveraging your technical acumen to develop innovative solutions that drive business value and operational efficiency.

Qualifications

The ideal candidate will possess extensive hands-on experience supporting AI/ML product delivery, including model and agent workflows. You should have a solid understanding of observability platforms, evaluation and experimentation tools, and tracing systems tailored for AI and large language model systems. Experience with distributed data processing frameworks such as Ray or Spark is essential, along with strong software engineering skills encompassing clean coding practices, testing, CI/CD pipelines, and API development. Excellent communication skills are crucial to translate complex requirements into practical engineering outcomes, ensuring clarity and alignment across teams.

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I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Responsibilities

  • Assist customers in building and deploying models and agents across various frameworks, providing guidance on selection, integration patterns, troubleshooting, and best practices to ensure optimal performance and reliability.
  • Implement and operate AI/ML observability solutions, including experimentation management, tracing, and monitoring, to enhance the quality and dependability of AI systems and agentic behaviors.
  • Design, develop, and optimize large-scale data processing pipelines and feature workflows utilizing distributed compute platforms such as Ray, Spark, or similar technologies.
  • Leverage coding assistants and automation tools to improve engineering efficiency while maintaining high standards of code quality and robustness.
  • Ensure secure deployment and access controls for AI/ML services, adhering to secure-by-design principles, environment separation, and firm guidelines for responsible AI deployment.
  • Create comprehensive technical documentation, runbooks, and support procedures to facilitate ongoing support, troubleshooting, and repeatable delivery processes.

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Benefits

J.P. Morgan offers a competitive benefits package designed to support the well-being and professional growth of our employees. This includes comprehensive health insurance plans, retirement savings options, paid time off, and wellness programs. We also provide opportunities for continuous learning and development through training programs, certifications, and mentorship initiatives. Our commitment to fostering a collaborative and inclusive work environment ensures that all team members can thrive and contribute meaningfully to our collective success.

Equal Opportunity

J.P. Morgan is an equal opportunity employer committed to fostering an inclusive environment for all employees. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy, disability, or any other protected attribute under applicable law. We value diversity and are dedicated to providing reasonable accommodations to support applicants and employees in their religious practices, mental health, or physical needs. We believe that a diverse workforce enhances our ability to serve our clients and innovate effectively. For more information about requesting accommodations, please refer to our FAQs.

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Skills

AI/ML Product Delivery
Model Workflows
Agent Workflows
Observability Platforms
Evaluation Tools
Experimentation Tools
Tracing Systems
Distributed Data Processing
Ray
Spark
Software Engineering
Clean Coding Practices
Testing
CI/CD Pipelines
API Development
Communication Skills

Location

United Kingdom

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