Applied AI ML - Senior Associate - Machine Learning Engineer

TN United Kingdom; London; On-site; GBP 70,000 - 90,000; Full time

Job summary

Join a leading team as an Applied AI ML Senior Associate Machine Learning Engineer in London. You will leverage cutting-edge AI techniques to optimize business decisions and automate processes. This role blends scientific research with software engineering, requiring collaboration with various teams and effective communication of AI capabilities.

Qualifications

• Hands-on experience in ML engineering roles.
• Proven track record of developing and deploying machine learning models.
• Strong understanding of ML theory including architectures like transformers.

Responsibilities

• Building scalable Data Science capabilities for various business use cases.
• Collaborating with software engineering teams to design and deploy ML services.
• Researching and analyzing data sets using statistical and machine learning techniques.

Skills

Machine Learning

NLP

Computer Vision

Statistics

Communication

Tools

PyTorch

NumPy

Pandas

Spark

Hadoop

Job description

Join a high performing team of applied AI experts to drive innovation and new capabilities in the Commercial & Investment Bank.

Position: Applied AI ML - Senior Associate - Machine Learning Engineer, London

Client: JPMorgan Chase & Co.

Location: London, United Kingdom

Job Category: Technology / Data Science

EU work permit required: Yes

Job Reference: 3dac54a596a9

Job Views: 3

Posted: 12.05.2025

Expiry Date: 26.06.2025

Job Description:

As an Applied AI / ML Senior Associate Machine Learning Engineer in the Applied AI ML team at JPMorgan Commercial & Investment Bank, you will be at the forefront of combining cutting-edge AI techniques with the company's unique data assets to optimize business decisions and automate processes. This role offers a unique blend of scientific research and software engineering, requiring a deep understanding of both mindsets.

Responsibilities include:

1. Building scalable Data Science capabilities for various business use cases.
2. Collaborating with software engineering teams to design and deploy machine learning services integrated with strategic systems.
3. Researching and analyzing data sets using statistical and machine learning techniques.
4. Communicating AI capabilities and results to technical and non-technical audiences.
5. Documenting approaches, techniques, and processes to ensure regulatory compliance.
6. Collaborating with cloud and SRE teams on production architecture design and delivery.
7. Acting as an individual contributor with potential management responsibilities based on experience.

Required qualifications, capabilities, and skills:

1. Hands-on experience in ML engineering roles.
2. Proven track record of developing and deploying critical machine learning models.
3. Knowledge of MLOps tools for versioning, reproducibility, and observability.
4. Experience monitoring and maintaining models over time.
5. Specialization in NLP or Computer Vision.
6. Strong understanding of statistics, optimization, and ML theory, including architectures like transformers, CNNs, autoencoders.
7. Proficiency with PyTorch, NumPy, Pandas.
8. Familiarity with open datasets and benchmarks in NLP and Computer Vision.
9. Experience with distributed, scalable applications and frameworks such as Ray, Horovod, DeepSpeed.
10. Excellent communication skills to convey technical ideas effectively to all stakeholders.

Preferred qualifications, capabilities, and skills:

1. Experience with big data technologies like Spark and Hadoop.
2. Development of batch and streaming microservices exposed via REST/gRPC endpoints.