Top Python Jobs in London
The Data Engineer will support the design and construction of data pipelines for processing and quality control of health data from various sources. Responsibilities include developing data transformation logic, collaborating with researchers, and ensuring adherence to best practices in data engineering.
As a Senior Platform Engineer, you'll design and enhance the Analytics platform at Our Future Health, collaborate with cross-functional teams, integrate new data sources, support colleagues through engineering best practices, participate in system monitoring, and contribute to ongoing health research.
As a Data Engineer, you'll develop and maintain data pipelines for genomic data, ensuring high-quality data transformation and curation. You will collaborate with scientists and researchers to meet their data requirements while adhering to best practices in agile software development.
As a Fullstack Software Engineer, you will develop features for existing software and new products, write clean code, participate in code reviews, create documentation, and stay updated on software development trends in a remote team environment.
As a DevOps Engineer at Phasecraft, you will develop and maintain CI/CD pipelines, manage on-prem and cloud server clusters, deploy database solutions, and troubleshoot any infrastructure issues together with the development and research teams.
As a Senior/Lead Data & MLOps Engineer, you will own the backend of the workflow mapping product, developing pipelines, and core components of ML systems. Responsibilities include writing algorithms, building data and ML training pipelines, collaborating with data scientists, optimizing model performance, and mentoring new team members.
The Senior ML Engineer will own the components of the Machine Learning pipeline, involving research in Deep Learning, processing multi-modal data, and training models. Responsibilities include developing and deploying models, enhancing accuracy, mentoring engineers, and managing projects from spec to deployment.
As a Staff Data Scientist at Checkout.com, you will lead the design, development, and deployment of LLM-based solutions, collaborating with product managers and engineers to enhance product features and optimize business processes using advanced NLP technologies.
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Houseful is seeking an Engineering Manager for Zoopla with a focus on line managing, coaching software engineers, technical contributions, and fostering innovation. The role involves working with React, Next.js, TypeScript, Node.js, GraphQL, Golang, Python, and Perl technologies.
As a Full Stack Engineer at Houseful, you will develop and maintain high-performance web applications using various technologies such as React, Node.js, and AWS, while collaborating with cross-functional teams to align technical solutions with business goals.
Lead the backend team for a new AAA game, focusing on designing and maintaining scalable backend services. Oversee technical direction, set coding best practices, manage team performance, and collaborate with other departments to ensure optimal game service architecture.
As a DevOps/Site Reliability Engineer, you will collaborate with software engineers to design and manage crucial services and systems, focusing on automation, monitoring, and scalability using cloud services and various technologies like Docker and Kubernetes.
The AI Scientist - Safety will evaluate and enhance safety mechanisms for large language models, identify and mitigate risks and biases, develop monitoring systems for misuse, and collaborate on safety measures with the AI development team. The role focuses on ensuring that AI systems are ethical and beneficial while continuously improving safety practices.
The Software Engineer will architect and optimize the inference backbone of the platform, automate benchmarks, and contribute backend expertise to AI-driven solutions, focusing on large language models within a dynamic team.
The Software Developer in Risk Technology will enhance Squarepoint’s trading risk platform by designing and building components for trade capture, position management, and data processing. Candidates should possess strong C++ skills and be adept at developing solutions for high-volume trading data while optimizing for performance and resilience.
The AWS Consultant will design, implement, and manage cloud solutions, optimize AWS infrastructure, ensure security compliance, and provide technical training and mentorship to clients. They will also assess cloud architecture, integrate AWS services with applications, and monitor cloud environments for performance issues.
As a Senior Data Engineer at Amach, you will design, build, and maintain data infrastructure, develop effective ETL processes, collaborate with teams to gather data requirements, and ensure data platform reliability and performance. You'll also support and guide junior members, optimizing existing systems for scalability and performance.
As a Lead Software Engineer, you will develop backend platforms for National Security and Defence clients, focusing on functional and non-functional requirements. Responsibilities include designing, deploying, and enhancing features, participating in user story elaboration, optimizing Continuous Deployment pipelines, and maintaining operational responsibility for the services owned by your team.
As an Analytics Engineer at Zopa, you'll transform data into useful insights for various teams like analytics, product, finance, and risk. Your role involves developing quality data products, maintaining data marts, and supporting stakeholders with data knowledge. You'll be responsible for documentation, testing, and governance while ensuring high standards through code reviews and data validation.
The C++ Trading Platform Developer will focus on enhancing the global trading platform, working on real-time data capture and order entry across various exchanges. Responsibilities include scaling the trading platform, improving performance and scalability, and writing client-server network applications.
The Principal Data Consultant will design and deliver enterprise-level data solutions, utilizing Azure tools and SQL analytics to create and implement big data environments, assisting businesses in gaining insights from their datasets.
The Senior Data Consultant will focus on delivering enterprise-level applications in Business Intelligence and Data Analytics, primarily using Microsoft Azure and SQL technologies. Responsibilities include project management, client communication, team support, and contributing to the community. Experience with data analytics solutions and the ability to mentor others are essential.
The Data Consultant role involves delivering enterprise-level applications in Business Intelligence and Data Analytics, focusing on Microsoft Azure and SQL technologies. Responsibilities include working on client projects, ensuring customer satisfaction, and contributing to internal communities. Strong communication and interpersonal skills are essential, along with a willingness to learn and share knowledge.
As a Quantitative Developer at QRT, you will develop tools for voice and electronic trading, including dashboards and visualization tools. You'll ensure production processes align with business objectives and adapt the tech stack to meet changing needs in a collaborative, fast-paced environment.
As a Software Engineer in the Risk team, you will build and deliver solutions for Risk Management and Trading desks, focusing on high-quality, scalable applications. You must possess strong communication skills and extensive software development experience, particularly in Python and cloud technologies.
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