**Software Engineer III - AI/ML Data Platforms**
Transform cutting-edge AI research into robust, secure, and scalable production-grade applications across the firm. Collaborate with AI Researchers and Data Scientists to advance experiments into optimized, reliable solutions. Key responsibilities include building and optimizing platforms, mentoring team members, and fostering a collaborative, inclusive culture. Essential skills are proficiency in Python, experience with infrastructure as code, hands-on application development, and a firm understanding of the full software development lifecycle.
Full Job Description
Location: LONDON, United Kingdom
Help turn cutting edge AI research into real, production grade capabilities used across the firm. You will build secure, scalable platforms and applications that accelerate experimentation while meeting high engineering standards. You will partner closely with AI Researchers and Data Scientists to move prototypes into optimized, reliable solutions. You will grow your influence by mentoring others and helping shape team practices. You will join a team that values collaboration, inclusion, and continuous improvement.
As a Software Engineer III in AI and Machine Learning Data Platforms, you will deliver critical technology solutions that support the firms business objectives. You will work directly with AI Research and the Machine Learning Center of Excellence to advance experiments into robust, scalable applications. You will build platform and application capabilities, including generative AI solutions, with a focus on security, stability, and operational excellence. You will contribute to an engineering culture that values strong delivery practices, mentorship, and inclusive teamwork.
Job Responsibilities
Collaborate with Data Scientists and AI Researchers to advance experiments into scalable, optimized, production grade applicationsDevelop software applications for AI and machine learning platforms, including generative AI applications such as agentsDesign and troubleshoot technical solutions using creative problem solving to address complex engineering challengesIdentify and automate remediation for recurring issues and developer pain points to improve operational efficiencyDeliver solutions using continuous integration and continuous delivery pipelines to public and private cloud platformsSupport experimentation environments, including tools such as Jupyter NotebooksMentor junior engineers and help drive engineering practices across the team and with research partnersContribute to a team culture of diversity, opportunity, inclusion, and respectLeverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.Required Qualifications, Capabilities, and Skills
Formal training or certification in software engineering concepts with applied full stack development experiencePractical experience developing infrastructure as code, ideally using TerraformHands-on experience building applications, testing, and supporting operational stabilityProficiency in at least one programming language, with a strong focus on PythonExperience with automation and continuous integration, delivery, and testing methodsWorking knowledge of the Software Development Life Cycle and Model Development Life CycleUnderstanding of agile methodologies and basic proficiency with architectural frameworksDemonstrated experience in platform development within a technical discipline such as cloud, artificial intelligence, or machine learningHands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.Preferred Qualifications, Capabilities, and Skills
Experience using AI tools to improve productivity and efficiency in daily workProactive approach to identifying issues and challenging the status quo constructivelyInitiative in learning and adapting to new technologies and methodologiesExperience or exposure to business facing integrated application environments such as risk or tradingStrong problem solving skills with a focus on innovation and continuous improvementStrong communication and collaboration skills across cross functional teams Build scalable AI and machine learning platforms in Python, turning research into secure production ready solutions. 
