Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Lead Software Engineer - Python / AWS / MLOps

JPMorgan Chase & Co.
London
1 month ago
Applications closed

Related Jobs

View all jobs

Lead Software Engineer - MLOps

Lead Software Engineer - MLOps

Lead Software Engineer - Agentic AI/Machine Learning

Lead MLOps Engineer — Scalable AI for Banking

Lead R Engineer / Data Scientist - Integrated Pest Management & Soil Science

Data Scientist / Software Engineer

Join the Applied Artificial Intelligence and Machine Learning team as a Lead Software Engineer within Corporate and Investment Banking.

You will play a pivotal role in transforming the operations of the world's largest bank. You will collaborate with Data Scientists and Line of Business teams to integrate AI/ML solutions and develop horizontal capabilities, focusing on creating robust APIs, services, and libraries.

Job Responsibilities

Develop and maintain high-quality applications using Python. Architect scalable and resilient cloud infrastructure solutions using AWS/Kubernetes/EKS/ECS. Design and deploy solutions with MLOps best practices. Collaborate with AI experts and internal teams to understand and integrate AI/ML with existing systems. Mentor and guide junior team members, lead initiatives to promote best practices and automation.  Collaborate closely with SRE and production monitoring teams to ensure system reliability and performance.

Required Qualifications, Capabilities and Skills

Formal training or certification in Computer Science, Engineering, or a related field, along with strong advanced experience in key concepts. Proven hands-on experience with Python and Kubernetes or ECS. Proven hands-on experience with as infrastructure-as-code tools such as Terraform or equivalent. Experience with cloud platforms such as AWS. Ability to work independently to understand and integrate with other systems within a bank. Excellent communication and collaboration skills.

Preferred Qualifications, Capabilities and Skills

Practical understanding of MLOPS.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

Jobs

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

Jobs

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.