Role Description We are sharing a specialised part-time consulting opportunity for professionals experienced in frontend engineering, modern JavaScript frameworks, responsive UI development, state management, performance optimization, and structured frontend workflow review. This role supports current and upcoming remote consulting opportunities focused on frontend engineering review, UI implementation assessment, web application workflows, performance analysis, technical documentation, and high-quality project execution. Selected professionals will apply their frontend engineering expertise to review realistic technical scenarios, evaluate frontend-related outputs, prepare structured written feedback, and support accurate, evidence-based software development workflow tasks. Qualifications - Professional experience in frontend engineering, web development, UI engineering, full-stack development with frontend focus, or related technical roles - Background in one or more areas such as React, Vue, Angular, JavaScript, TypeScript, HTML, CSS, responsive design, state management, or frontend performance optimization - Familiarity with workflows involving design handoff, component development, API integration, debugging, testing, code review, and frontend documentation - Comfort reading and preparing frontend artifacts such as code snippets, component specs, UI notes, bug reports, test cases, implementation plans, and technical summaries - Strong written communication skills - Ability to work independently in a remote, project-based environment Requirements - A degree or professional background in computer science, software engineering, computer engineering, information technology, human-computer interaction, web development, or a related technical field is helpful - Equivalent practical experience in frontend engineering, UI development, web application development, technical review, or software project work is also highly relevant Benefits - Apply frontend engineering expertise to structured remote project work - Contribute to high-quality UI review, frontend workflow evaluation, performance assessment, and development-focused tasks - Work on flexible assignments aligned with your frontend engineering background - Use your software judgment in a focused, detail-oriented review environment - Remote structure with competitive hourly compensation Company Description This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams.

Role Description We are sharing a specialised part-time consulting opportunity for professionals experienced in machine learning engineering, model development, Python, ML frameworks, model deployment, MLOps, and structured AI workflow review. This role supports current and upcoming remote consulting opportunities focused on: - Machine learning model evaluation - ML engineering workflow review - Model deployment assessment - MLOps documentation - Technical task development - High-quality project execution Selected professionals will apply their machine learning engineering expertise to review realistic ML scenarios, evaluate technical outputs, prepare structured written feedback, and support accurate, evidence-based AI engineering workflow tasks. Qualifications - Professional experience in machine learning engineering, applied ML, data science engineering, AI engineering, MLOps, model deployment, or related technical roles - Background in one or more areas such as model development, Python, PyTorch, TensorFlow, data pipelines, model evaluation, production ML, or ML infrastructure - Familiarity with workflows involving training, validation, experiment tracking, model serving, monitoring, deployment, and technical documentation - Comfort reading and preparing ML artifacts such as notebooks, model reports, experiment logs, pipeline documentation, deployment notes, and technical summaries - Strong written communication skills - Ability to work independently in a remote, project-based environment Requirements - A degree or professional background in computer science, machine learning, data science, statistics, mathematics, software engineering, computer engineering, or a related technical field is helpful - Graduate-level study, applied ML experience, research experience, or production engineering experience is highly relevant - Equivalent practical experience in ML engineering, AI systems, MLOps, model deployment, or technical review is also valuable Benefits - Apply machine learning engineering expertise to structured remote project work - Contribute to high-quality ML evaluation, model workflow review, deployment assessment, and AI engineering task development - Work on flexible assignments aligned with your ML engineering background - Use your technical judgment in a focused, detail-oriented review environment - Remote structure with competitive hourly compensation Contract Details - Independent contractor role - Fully remote with flexible scheduling - Part-time commitment depending on project availability - Competitive rates between $95–$135 per hour depending on expertise - Weekly payments via Stripe or Wise - Projects may be extended, shortened, or adjusted depending on scope and performance - Work will not involve access to confidential or proprietary information from any employer, client, or institution About the Platform This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams. By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: https://www.24-mag.com/privacy-policy .

Role Description The UK National Security, Defense and Intelligence Sector at Leidos currently has an opening for a Software Engineering Manager to work remotely. This is an exciting opportunity to use your experience supporting the Metropolitan Police contract. - Lead and manage software engineering teams delivering complex applications and services - Provide technical leadership and guidance, ensuring adherence to engineering best practices - Line manage engineers including performance reviews, career development, and mentoring - Ensure code quality, maintainability, scalability, and security - Establish and enforce engineering standards and development practices - Drive adoption of modern engineering approaches (CI/CD, automation, code reviews) - Support engineers in solving complex technical challenges and removing blockers - Own and manage Interface Control Documents (ICDs), including: - Creation, review, and ongoing maintenance of ICDs - Ensuring interface definitions are accurate and up to date - Managing interface changes and dependencies - Maintaining traceability between ICDs and system requirements - Collaborate with architects and technical leads on system design - Ensure technical documentation is produced and maintained - Support governance, compliance, and audit requirements Qualifications - Experience as a Software Engineering Manager or similar role - Strong background in software development - Experience managing engineering teams - Experience delivering software across full lifecycle - Understanding of system integration and interface management - Experience maintaining technical documentation - Strong stakeholder communication skills Requirements - Experience in enterprise or government environments - DevOps / CI-CD / Azure exposure - Agile delivery experience - Jira and Confluence experience - Microservices and API design knowledge - Experience with system integrations and third-party interfaces - Understanding of security and governance requirements Benefits - Contributory Pension Scheme - Private Medical Insurance - 33 days Annual Leave (including public and privilege holidays) - Access to Flexible benefits (including life assurance, health schemes, gym memberships, annual buy and sell holidays and a cycle to work scheme) - Flexi-Time

• Lead and grow an engineering team delivering mission-critical software to dental practices and their patients • Directly oversee a team of various levels of engineers (onshore and nearshore) and influence engineering practices, technical execution, and outcomes across the organization • Drive clarity, accountability, and alignment through effective communication of goals, priorities, and status to team members and stakeholders • Support hiring, onboarding, coaching, performance management, and career development to attract and retain top engineering talent • Establish and ensure adherence to standards for software engineering, analysis, QA, and project delivery • Foster a culture of ownership, collaboration, innovation, and continuous improvement • Partner with Product and UX to deliver customer-centric solutions that align with strategic initiatives • Monitor and manage project scope, forecasts, risks, and budgets • Promote mature DevOps practices, continuous integration/deployment, and test-driven development