Support client projects under the guidance of senior data scientists, applying data science techniques and building scalable models in a consulting environment.
Locations (2)
London, England, United Kingdom
Cheltenham, England, United Kingdom
Responsibilities
Support client projects under the guidance of senior data scientists.
Work in agile, iterative environments that encourage experimentation and learning.
Assist in understanding client business and technical needs to identify opportunities for data science.
Apply basic data science techniques to solve problems in a structured and robust way.
Help identify and prepare relevant data sources for analysis.
Requirements
Degree Educated or equivalent.
Nice to have: Exposure to machine learning concepts, such as classification, clustering, or model evaluation
Nice to have: Experience with data visualisation tools like Matplotlib, Seaborn, Power BI, or Tableau
The Field Supervisor monitors and evaluates teacher candidates in a K-12 school setting, providing feedback and ensuring adherence to program expectations.
Locations (2)
Santa Clara, California, United States
Bay Area, California, United States
Compensation
$38/ Hour
Responsibilities
Conduct orientation meetings with cooperating teachers and teacher candidates to explain expectations and responsibilities
Observe and document teacher candidates' professional practices including lesson planning, differentiation, classroom management, and student learning
Provide detailed feedback to teacher candidates regarding performance
Hold benchmark meetings at the conclusion of each quarter to review summative assessments and determine readiness to advance
Communicate regularly with Field Placement coordinators the Director of Teacher Education regarding candidate performance or concerns
Lead product strategy and roadmap for PAN-OS decryption and post-quantum cryptography, driving innovation and market adoption.
Compensation
The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/com-missioned roles) is expected to be the annual range listed below. The offered compensation may also include restricted stock units and a bonus.
Responsibilities
Define Product Vision & Strategy
Lead Roadmap Execution
Innovate Core Technologies
Drive Strategic Growth
Collaborate on GTM
Requirements
Bachelor's or Master's degree in Electrical Engineering, Computer Science, or a related field
Lead Software Engineer within Optum Technology designing, developing, testing, and deploying scalable enterprise software solutions with a focus on Generative AI and engineering productivity.
Responsibilities
Design, develop, test, and deploy scalable enterprise software solutions with a focus on Generative AI and engineering productivity
Build AI-powered applications, developer tools, and intelligent automation solutions that improve software delivery and operational efficiency
Integrate AI capabilities into existing enterprise platforms, cloud services, APIs, and data pipelines
Identify opportunities to leverage AI to improve software quality, automate manual processes, and accelerate engineering workflows
Collaborate with architects, product owners, engineers, and business stakeholders to deliver innovative technology solutions
The Senior Manager, Software Engineering is responsible for leading and scaling high‑performing product engineering teams while driving technical excellence, timely delivery, and strategic innovation.
Responsibilities
Lead and manage a sizable, distributed team of software engineers
Provide strong technical and managerial leadership
Mentor, coach, and develop engineering managers and individual contributors
Conduct regular performance evaluations
Build trust within teams by setting clear expectations
Requirements
Nice to have: Prior experience leading multi‑team or multi‑location engineering organizations
Nice to have: Exposure to AI/ML‑powered engineering platforms or developer productivity tools
Nice to have: Experience in large‑scale product organizations or SaaS platforms
Lead Forward Deployed Engineer to accelerate Target's enterprise AI platform adoption, combining solution architecture, hands‑on engineering, and technical guidance.
Compensation
The pay range is $132,000.00 - $238,000.00
Responsibilities
Lead complex technical engagements that accelerate enterprise AI platform adoption
Design, build, and productionize AI solutions, reference implementations, technical tooling, and platform‑support capabilities
Guide technical design and implementation across engineering efforts
Apply software engineering and distributed systems expertise to improve reliability, security, performance, observability, and ops readiness
Lead teams and manage customer relationships while delivering complex AI and machine learning initiatives, resolving critical customer challenges, and improving operations at scale.
Compensation
The salary range for this position is included in the job posting. The actual compensation offered to the successful candidate will fall within that range and will depend on factors such as education, skills, experience, location, and scope of the role, as determined through the selection process. Where applicable, SAP may also provide variable incentive opportunities and additional benefits, subject to the terms of the relevant plans and policies. Any variable incentive amount is target-based, with actual payouts dependent on company and individual performance.
Responsibilities
Lead teams and manage customer relationships
Deliver complex AI and machine learning initiatives
Resolve critical customer challenges
Improve operations at scale
Design and implement advanced machine learning and agentic AI solutions
Requirements
Bachelor’s or master’s degree in computer science, data science or a related field
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