• Act as the technical lead on customer engagements—including enablement programs, onboarding sessions, mentoring, and consulting projects—with responsibility for running simulations, reviewing designs, interpreting results, and recommending improvements based on findings and experience. • Stay up to date with Ansys platforms and expand knowledge through ongoing training and self-guided learning to broaden Rand Simulation's enablement and consulting capabilities. • Collaborate closely with Rand Simulation's sales team to provide technical guidance, credibility, and subject-matter expertise in both pre-sales and post-sales engagements. • Analyze customer technical needs, infrastructure, and workflows to ensure an application fit and develop recommendations for both immediate and long-term simulation success. • Articulate the value of Ansys technology and Rand Simulation's services—including training, mentoring, and consulting—in helping customers achieve their design and productivity goals. • Partner with RandSim marketing to generate blog posts, white papers, webinars, and other content related to key initiatives for your team and customers. • Provide customized Ansys training and mentoring sessions that help customers improve simulation proficiency, increase productivity, and achieve early success with new tools. • Occasionally assist with technical support overflow and follow-up to ensure customer satisfaction and retention.

Role Description ICF is seeking a Full Stack Engineer for a Rural Health Program to design, build, and maintain full-stack features supporting a scalable Workflow & Platform Solution for large-scale public sector programs, including intake, workflow management, and performance tracking. - Build configurable workflows with stage progression, role-based tasking, status tracking, and automated notifications aligned to program operations. - Develop and integrate automation and AI-assisted capabilities to improve efficiency and structure unstructured inputs, while preserving appropriate human review. - Implement reporting and dashboard features that provide clear visibility into participation, progress, and outcomes for internal teams and external stakeholders. - Develop data inputs and integrations, including structured forms, document management, and connections to approved external data sources. - Translate business requirements into technical solutions, communicate feasibility and timelines, support demos and training, and drive continuous improvement through user feedback. - Up to 25% travel may be required. Qualifications - Minimum 3 years of professional experience in full stack software development. - Strong experience with modern full-stack web development, including a current JavaScript/TypeScript front-end framework and a server-side runtime. - Experience designing and building applications backed by relational databases. - Experience integrating RESTful APIs and external services into applications. - Hands-on experience integrating large language model (LLM) capabilities into applications, such as structured extraction, summarization, or evaluation against defined criteria. - Experience building multi-step, stateful processes with reliable execution, including human-in-the-loop steps and audit history. - Strong written and verbal communication skills, with the ability to adapt technical explanations to non-technical audiences including program staff and state agency stakeholders. - Demonstrated ability to manage ambiguity and ship useful software when requirements are still taking shape. Requirements - Experience in a client-facing, embedded, or consulting engineering role. - Experience building case management, workflow, or grant and program management systems. - Experience working with Federal, state or local government clients. - Experience handling personally identifiable information (PII) responsibly and supporting data governance. - Domain interest or experience in health, rural health, or public sector program delivery. - Proficiency with AI-assisted coding tools in a professional setting. - Experience with CI/CD practices and automated testing. Benefits - ICF is a global advisory and technology services provider, combining unmatched expertise with cutting-edge technology. - We are an equal opportunity employer. - Reasonable accommodations are available for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs. - Pay range for this position based on full-time employment is: $108,476.00 - $184,409.00.

Hello! We're Teya. Teya is a payment and software service provider, headquartered in London serving small, local businesses across Europe. Founded in 2019, we build easy to use, integrated tools that enable our members to accept payments and boost business performance. At Teya we believe small, local businesses are the lifeblood of our communities. We’re here because we don’t believe there’s a level playing field that gives small businesses with a fighting chance against the giants of the high street. We’re here because we see banks and legacy service providers making things harder for them. We don’t think the best technology or the best service should be reserved for those with the biggest headquarters. We’re here to fight for a future where small, local businesses can thrive, and to commit the same dedication they offer all of us. Become a part of our story. We’re looking for exceptional talent to join our mission. We offer a chance to create impact in a high-energy and connected culture, while benefiting from continuous learning opportunities, a supportive community which is proud to serve our mission, and comprehensive benefits. Your Mission As a Senior Machine Learning Engineer you will build the models and decision systems that turn Teya's data into better outcomes for our customers and our business. You will work on problems where quantitative rigor changes the result: who we onboard, how we detect and prevent fraud, how we price, and how we understand and grow customer value. You'll join our AI Research & Development team, partnering with engineers, product managers, and domain experts to take problems from framing through model development and into reliable, monitored production systems. This role suits someone who combines strong statistical and machine learning foundations with the engineering discipline to ship, and who is motivated by measurable business impact rather than modeling for its own sake. As a Senior Machine Learning Engineer at Teya, you will be expected to: - Frame ambiguous business problems as well-posed modeling, inference, or optimization tasks, and choose methods that fit the data and the decision. - Design, build, validate, and deploy predictive and decisioning models across areas such as fraud and risk monitoring, customer onboarding and due diligence, pricing, and customer lifetime value. - Run rigorous experiments and causal analyses, including A/B testing, uplift modeling, and offline evaluation, to measure whether models actually move the outcomes that matter. - Engineer features and build the data pipelines that feed training and serving, with attention to leakage, reproducibility, and data quality. - Productionise models with strong attention to validation, backtesting, monitoring, drift detection, and retraining, so performance holds up after launch. - Work closely with product managers, engineers, and domain experts to identify where modeling creates value and to integrate models into products and operational workflows. - Apply optimization and operations research methods where decisions, not just predictions, are the goal. - Contribute to modeling standards, evaluation practices, and reusable tooling across the team. - Stay current with developments in machine learning and statistics, and apply new methods where they earn their place. Requirements - Strong foundations in statistics and machine learning, with the judgment to match methods to problems. - Proficiency in Python and its data and ML ecosystem (for example pandas, scikit-learn, NumPy), and strong SQL. - Hands-on experience building and deploying machine learning models in production, not only in notebooks. - Solid command of supervised and unsupervised learning, including methods such as gradient boosting, regularised regression, and clustering, with a clear understanding of model evaluation and overfitting. - Experience with experimentation and inference, including A/B testing and the basics of causal estimation. - Experience with cloud platforms and modern engineering practices (CI/CD, APIs, monitoring, infrastructure as code). - Strong software engineering fundamentals including testing, reproducibility, and maintainability. - Ability to communicate quantitative findings and their business implications clearly to both technical and non-technical audiences. Nice to have - Experience building models in regulated industries such as payments, fintech, banking, risk, compliance, or fraud prevention. - Experience with use cases such as: - Fraud detection and anomaly detection - Credit and onboarding risk decisioning - Pricing and customer lifetime value modeling - Churn and propensity modeling - Forecasting and time series - Recommendation and personalisation - Background in operations research, mathematical programming, or stochastic optimization. - Knowledge of MLOps, model lifecycle management, feature stores, monitoring, and governance. - Experience with deep learning frameworks such as PyTorch or TensorFlow where the problem warrants them. - Familiarity with data engineering concepts, analytics platforms, and experimentation frameworks. - Contributions to the ML or statistics community through open source, research, or technical writing. Teya is proud to be an equal opportunity employer. We are committed to creating an inclusive environment where everyone regardless of race, ethnicity, gender identity or expression, sexual orientation, age, disability, religion, or background can thrive and do their best work. We believe that a diverse team leads to better ideas, stronger outcomes, and a more supportive workplace for all. If you require any reasonable adjustments at any stage of the recruitment process whether for interviews, assessments, or other parts of the application—we encourage you to let us know. We are committed to ensuring that every candidate has a fair and accessible experience with us.

Role Description Applied Materials is seeking a candidate who will represent iTeam and define AGS install strategy per product, together with AGS functions (TSE, BU GPS, Spares, digital tools, etc.) and BU product support team. - Review and drive new procedures and Best-Known Methods (BKMs) to Install products. - Ensure certification templates are aligned with BKM’s and Installation procedures. - Coordinate I&W spending & drive data-driven improvement (NC, beyond spec, NPI) with BU. - Drive design-for-installation initiatives for new products. - Partner with Quality & Reliability (Q&R) group to review and address Top Field Issues. - Participate in or own CAPA process. - Drive CE productivity analysis, initiate and manage improvement plans to improve CE installation productivity and quality and reduction of install complexity. - Lead Productivity DT (Digital Tools) field implementation and adoption through close collaboration with SBU/DEG. - Key stakeholder in driving adoption of digital tools and AI for predictive planning and quality assurance. - Participate in first chamber Build & Test in Apps lab or Customer Sites. - Solve issues, or work with Engineering to address issues identified. - Collaborate with Manufacturing to develop procedures and participate (if required) in the Product final test to improve manufacturing quality. - Drive resolution of key issues with Engineering. - Facilitate infrastructure for proper communication of value to AGS and BU executives. Qualifications - Requires knowledge and experience in own discipline; still acquiring higher-level knowledge and skills. - Build knowledge of the company, processes, and customers. - Solves a range of straightforward problems. - Analyze possible solutions using standard procedures. - Receives a moderate level of guidance and direction. Requirements - Time Type: Full time - Employee Type: Assignee / Regular - Travel: Yes, 25% of the Time - Relocation Eligible: No Benefits - Salary: $108,000.00 - $148,500.00 - Comprehensive benefits package. - Eligibility for other forms of compensation such as participation in a bonus and a stock award program, as applicable.