Technical Team Lead - Machine Learning

Bloomberg Industry Group
parental leave
United States, Virginia, Arlington
Sep 03, 2026
Leads a small team developing and managing ML solutions across the full lifecycle-from problem scoping and data preparation to model optimization-while guiding technical standards, partnering on roadmaps, delivering major architectural initiatives, managing budgets, mentoring engineers, and fostering an inclusive, highperformance culture. Design and own the technical architecture and product roadmap for Lux, an agentic integration platform connecting data and workflows across internal systems, while building and leading the team that develops it. What you will do: Architect and build the agentic orchestration/integration layer, contributing hands-on alongside the team Own product vision and roadmap, prioritizing requests across teams and setting scope boundaries Hire, manage, and mentor the Lux engineering team; establish sprint, on-call, and incident practices Set technical standards, review processes, and own architectural risk/debt Serve as primary technical/product point of contact for cross-functional stakeholders Oversee development of machine learning solutions through all phases of application lifecycles from problem mapping and scoping to data gathering and preparation to optimizing model performance. Partner with product and other teams to plan and develop roadmaps that ensure maximum impact with team and company resources. Ensure high standards of technical development are adhered to including observability, stability, scalability, security, performance, and cost effectiveness. Guide the team on modern machine learning and software development best practices and technical direction while providing hands-on development and problem-solving assistance. Help foster an inclusive environment where our culture is a strength in delivering results for our customers, our team, and our business. Lead special projects and perform other duties as assigned. You need to have: Master's or PhD in related field or equivalent work experience. 3 years' experience and/or commensurate skills with an object-oriented programming language such as Java or Python, ML/AI frameworks, libraries, data structures and data modeling techniques. 3 years of software development experience and/or commensurate skills building commercial and ML applications. Experience in all phases of machine learning application lifecycles from problem mapping and scoping to data gathering and preparation to optimizing model performance. Either project or team leadership experience and strong interpersonal skills. Working experience with DevOps, CICD, and infrastructure as code. Nice to Have: Experience designing orchestration layers for agentic or multi-system integrations Exposure to Bloomberg data products, enterprise data ecosystems, or financial services industry Compensation Range: $165,000.00-$205,000.00 Placement in the salary range will be decided upon completion of the interview process. Salary determination will be determined based on factors including but not limited to relevant experience, demonstrated skills related to the requirements of the role, education, certifications, and geographic location. Equal Opportunity Bloomberg Industry Group maintains a continuing policy of non-discrimination in employment. It is Bloomberg Industry Group's policy to provide equal opportunity and access for all persons, and the Company is committed to attracting, retaining, developing, and promoting the most qualified individuals without regard to age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or maternity/parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law ("Protected Characteristic"). Bloomberg prohibits treating applicants or employees less favorably in connection with the terms and conditions of employment, in all phases of the employment process, because of one or more Protected Characteristics ("Discrimination").