Top Python Jobs in London
Develop ML-tools and products for Snapchat, build AR experiences using advanced generative models, and collaborate with teams to launch new products. Stay current with machine learning research and prototype new ideas. Minimum qualifications include a Bachelor’s degree and experience with deep learning frameworks.
You will work on developing cutting-edge computer vision algorithms for 3D human body reconstruction and facial tracking to enhance AR effects for Snapchat and Spectacles. The role involves creating human-centric Generative AI pipelines for image and video synthesis while participating in a culture of mentoring and collaboration with other teams.
As a Senior Data Engineer at Capco, you will design and develop data pipelines for top financial clients, ensuring best practices in engineering. You will work with cloud solutions, build event-driven applications, and engage in digital transformation across data technologies.
As a Senior Data Engineer at Capco, you will design and develop robust data pipelines, work with clients to define solutions, ensure best engineering practices, and support internal initiatives. You will leverage cloud and data technologies to automate processes and engage in digital transformation projects for financial institutions.
The Software Due Diligence Architect will lead technology/software M&A due diligence projects, collaborate with TTS consultants, assess technology systems, make software architecture recommendations, analyze software stacks, and formulate investment summaries for pre and post-close projects.
As a Data Science Engineer, you will develop and integrate statistical and machine learning models into applications for a sportsbook platform, ensuring model accuracy and collaborating with various teams to enhance sports modeling capabilities.
The Principal Software Engineer in Partner Engineering at Crunchyroll will lead deployments, optimize implementations, and manage integrations to enhance partnerships. Responsibilities include improving operations, defining new solutions, automating partner operations, and overseeing projects with various teams. The role entails technical engagement and creative problem solving to elevate user experiences.
The Machine Learning Engineer will design, implement, and maintain machine learning models for code analysis and language processing. Responsibilities include optimizing production-grade pipelines, leading cross-team collaborations, and owning features from ideation to production, while ensuring performance and efficiency of existing ML models.
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The Database Reliability Engineer will ensure the reliability and performance of the databases at monday.com, engaging in automation projects and supporting developers. Responsibilities include building self-management solutions for databases, developing change management via Terraform, and ensuring impactful performance and availability in a rapidly growing environment.
As a Staff Software Engineer at IAS, you will lead the design and development of ad verification and analytics solutions, ensuring the software is efficient and responsive. Responsibilities include architecting core measurement solutions, mentoring team members, managing product requirements, and optimizing software performance.
The Staff Software Engineer will own major initiatives, ensuring a balance between delivery and sustainable engineering practices. Responsibilities include improving capabilities, managing risks, and collaborating with engineering leadership. The role demands technical decision-making and mentoring of other engineers while maintaining a customer-centric mindset.
As a Senior Data Engineer, you will design and develop scalable data pipelines, enhance data infrastructure, and optimize data systems for analytics and machine learning. The role involves collaborating with teams to align solutions with business needs while ensuring data governance and mentoring junior engineers.
As a Manager of Data Science Engineering, you will manage a team of sports modellers, oversee the design and development of sports models and applications, collaborate with business leads, contribute to DS project architecture, and mentor engineers to ensure high-quality output.
Lead Data Science Engineer role at a sports and entertainment technology company involved in developing cutting-edge products and shaping the future of responsible gaming. Responsibilities include implementing DS applications, creating statistical and machine learning models, data engineering, writing production quality code, collaborating with various teams, and coaching junior data scientists. Requires expertise in Python, database technologies, ML automation, AWS, DevOps principles, and Kubernetes. Strong communication and organizational skills are essential.
As a Senior Data Science Engineer, you will develop and integrate statistical and machine learning models into applications, enhance football models, write production quality code, utilize MLOps for training, and support junior data scientists. You will collaborate closely with various teams and ensure data flows are accurate and models function within the business context.
As a Senior Cloud Network Engineer, you will design, implement, and manage complex Microsoft Windows server solutions and network architectures in a cloud environment. Responsibilities include infrastructure monitoring, disaster recovery, and collaborating across teams to troubleshoot and solve technical issues.
Join CrowdStrike as a Software Engineer on the Cloud Platform team, contributing to the design and development of high-throughput systems for processing streaming data at scale. Opportunity to work on agile, distributed teams collaborating on all aspects of the system.
The Sales Engineer at InterSystems will coordinate closely with account representatives and other departments to build strong client relationships. The role includes designing and presenting Proofs of Concept, delivering training, and supporting marketing efforts. Extensive travel and technical advisory qualifications are required. Ideal candidates have a strong mix of technical knowledge and sales awareness to recommend solutions and manage client needs effectively.
As a Software Engineer intern at iManage, you will engage in hands-on projects, collaborate with global teams, learn cutting-edge technologies, and contribute to the development lifecycle while being mentored by experienced engineers.
As a Senior Frontend Software Engineer, you will develop the Clear Street Studio platform, creating efficient and scalable front-end solutions. You will collaborate with product managers and users to define and complete features, while working on complex problems in a team environment.
As a Principal Software Engineer at 8th Light, you will lead complex software development projects, collaborating with teams and clients to build high-quality software. You will mentor others, address architecture-level concerns, and ensure effective communication while managing project priorities and feedback processes.
Associate Principal role at ZS focusing on Clinical Data & Technology. Responsibilities include strategizing, designing, and building marketing and sales technology solutions to improve commercial effectiveness. Requires expertise in Python, SQL, Big Data Technologies, AI/ML, and Analytics.
The Principal Software Engineer will enhance delivery systems for client projects, focusing on dependable and performant builds. Responsibilities include collaborating with product and technical teams, ensuring high-quality code development, and managing existing infrastructure. The role blends leadership with technical contributions in an innovative tech environment.
As a Python Engineer at Builder.ai, you'll build and manage data pipelines for machine learning, collaborate with data scientists, and contribute to AI services in the cloud, driving significant business impact.
As a Sr. Python Engineer, you will design and maintain data ingestion systems for Ad Tech standards, focusing on Ads.txt and Sellers.json. Responsibilities include collaborating with various teams to integrate data and develop tools for investigations against ad fraud.
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