Top Software Engineer Jobs in London,

Software Engineer III position in the Cloud Graph Platforms team at J.P. Morgan, responsible for building centralized platform & database services across public and hybrid cloud environments. Requires experience with Python, Java, C, C++, C#, Go, NoSQL databases, AWS, Azure, Google, and various tools/frameworks like Terraform, Ansible, Python frameworks, CI/CD pipelines, etc. Ability to work with Agile and Lean methodologies. Preferred experience with relational databases, and strategic collaboration with product management. Join a global leader in financial services.

As a DevOps Engineer at JPMorgan Chase within the Nutmeg Digital Wealth Management, you will be responsible for maintaining a Kubernetes on AWS platform, advocating good practices, standardizing deployment, and collaborating with stakeholders to understand platform requirements. Required qualifications include experience with automation/deployment environments, managing Kubernetes clusters, coding in Python/Go, and knowledge of observability tooling. Preferred qualifications include systems and database experience, scalable technologies knowledge, and a passion for learning new technologies.

As a Senior Lead Software Engineer at JPMorgan Chase, design and deliver technology products, build data-intensive microservices, implement ML engineering solutions, contribute to software communities, provide technical leadership, mentor junior team members, and ensure system stability.

Lead the design, development, and implementation of a resiliency risk model using data science expertise. Collaborate with cross-functional teams to deliver models and insights for technology and recovery risk. Present findings and recommendations to senior management.

The Machine Learning Center of Excellence is seeking an NLP / LLM Scientist - Applied AI ML Lead to apply sophisticated machine learning methods in natural language processing, speech analytics, time series, and recommendation systems. Responsibilities include research, development of ML models, collaboration with partner teams, and driving firm-wide initiatives. Required qualifications include a solid background in NLP, a PhD in a quantitative discipline, extensive experience with ML and DL toolkits, and the ability to design experiments and training frameworks. Preferred qualifications include a strong background in Mathematics and Statistics, experience with search/ranking, Reinforcement Learning, and A/B experimentation.

Analyzing global human capital and workforce data to create insights and customized models for evidence-based decision-making in HR. Developing analytics solutions, conducting data analyses, and collaborating with internal experts to drive measurable business outcomes.

As a Java Software Engineer II at JPMorgan Chase within the Asset and Wealth Management, Data and Analytics Instrument Team, you will execute software solutions, design, develop code, troubleshoot technical problems, and contribute to decision-making in a secure, stable, and scalable way. You will work on enhancing and delivering software components of the firm's technology products.