Top Python Jobs in London

The MLOps Engineer will develop and implement machine learning features for revenue optimization, establish MLOps practices, and ensure the reliability of ML systems throughout their lifecycle.

As a Machine Learning Ops Engineer, you will develop features enhancing revenue strategies, establish MLOps practices, and ensure reliable ML systems.

Responsible for designing and developing AI products, collaborating with cross-functional teams, and advancing AI capabilities in enterprise software development.

As a Senior Technical Presales Specialist, you will drive technical sales processes, create tailored demos, and act as a trusted advisor using AI and supply chain expertise.

The Senior Engineer, Cloud will enhance cloud reliability and performance, manage CI/CD pipelines, automate processes, ensure security compliance, and collaborate across teams.

The Senior AI/ML Engineer will design and optimize scalable systems, productionize AI prototypes, solve performance issues, and collaborate with teams on innovative solutions.

Develop new features in cryptography R&D, tackle systems-level programming challenges, and apply cryptographic knowledge to real-world problems.

The Staff Software Engineer will lead the architecture for AI inference platform performance, focusing on latency and throughput across systems and GPU executions.

The Presales Engineer at Twilio will collaborate with sales teams to drive deal success, lead technical sessions, and build strong customer relationships while showcasing Twilio's communications technology.

The Senior Solution Architect will drive technical wins, support pre-sales, foster customer relationships, and ensure successful platform adoption.

The Financial Analytics Associate will analyze data for strategic insights, collaborate with teams for performance improvement, and create scalable models for financial reporting.

The Anti-Bot Engineer will research and implement evasion techniques against sophisticated anti-bot systems, debug TLS fingerprinting, and analyze browser behavior to optimize scraping methods.

Lead the architecture and implementation of Chainguard's Libraries Platform, focusing on building services, automation, and workflows for secure library management across ecosystems.

Lead a team of Solutions Architects to enhance customer experience in AI cloud solutions, overseeing engagements and fostering technical excellence while optimizing client pipelines.

The Machine Learning Engineer will build, refine, and optimize AI/ML prototypes while collaborating with teams on technical documentation, deployment, and model integration.

The Senior Software Developer will create and enhance AI prototypes, ensure technical standards, support backend service integrations, and collaborate with multidisciplinary teams.

The TechOps Architect will lead technical projects, define team standards, mentor peers, and improve user experience across IT operations.

The Ad Operations Analyst will automate analytical processes, manage ad operations, troubleshoot tracking, and deliver insights through client reporting. They will work with SQL, Excel, and Python to enhance data analysis and client engagement.

Design, build, and scale intelligent systems using AI/ML across various domains including LLMs, Computer Vision and Speech AI, integrating these into business workflows.

The Senior DevOps Engineer will optimize infrastructure, enhance deployment processes, and ensure service reliability while leveraging various cloud platforms and automation tools.

The AI Engineering Intern will design, test, and deploy scalable AI systems, integrate models, and work on inference optimization, collaborating with data scientists on complex problems.

The Applied Scientist will solve impactful problems using deep learning models and statistical analysis, translating commercial goals into technical solutions.

AI Engineers at QuantCo design, build, and implement applied AI systems, working with data scientists to optimize inference, develop scalable solutions, and integrate AI into enterprise operations.

The Senior AI Engineer will lead AI strategy, develop Large Language Models and data pipelines, and integrate AI into products while fostering innovation.

The role involves creating and automating infrastructure features for data platforms using Python, with a focus on distributed systems and collaboration within a global team.