• Design and deliver sessions that change how people work the very next day. • Measure success through lasting behavior change, not audience satisfaction. • Lead with live demonstrations before explanations. • Tailor every demo to the client’s real workflows and business challenges. • Build credibility through authentic, unscripted examples. • Read the room and adjust your approach based on audience readiness. • Help confused audiences understand the “why.” • Help anxious audiences build confidence through smaller steps. • Navigate skeptical audiences using credible peer examples and practical proof. • Continuously stay current on AI platforms, feature releases, and best practices. • Ensure every training session reflects today’s capabilities—not outdated information. • Capture patterns from client engagements. • Identify where learners struggle, what resonates, and why. • Provide actionable feedback that continuously improves the company’s training approach.

Role Description The Remote Radiologist is responsible for interpreting diagnostic imaging studies from a remote setting using advanced teleradiology technology. This role supports nationwide imaging needs with timely and accurate reporting, contributing directly to high-quality patient care without the need for onsite presence. It enables flexibility while maintaining diagnostic excellence and clinical collaboration through virtual platforms. - Interpret a high volume of diagnostic studies remotely, including X-ray, CT, MRI, ultrasound, and other modalities. - Deliver prompt, accurate, and well-documented reports to referring clinicians across multiple locations. - Communicate critical and time-sensitive findings directly with providers via phone or secure messaging systems. - Collaborate with technologists and support staff virtually to ensure protocol adherence and image quality. - Use advanced PACS, RIS, and cloud-based teleradiology systems to manage and review cases. - Participate in quality assurance, peer review, and virtual team meetings. - Maintain up-to-date licensure and compliance documentation for multiple states, as required. - Adhere to all HIPAA and data security standards while working in a remote environment. - Contribute to a consistent workflow with no weekend or evening shifts required. - Support a culture of collaboration and excellence across geographically distributed teams. Qualifications - MD or DO degree from an accredited medical school. - Completion of an accredited Radiology Residency program. - Board Certified or Board Eligible in Diagnostic Radiology (ABR or equivalent). - Active and unrestricted medical licenses in applicable practice states (multi-state licensure preferred). - Prior teleradiology or remote work experience preferred, but not required. Requirements - Proficiency in remote diagnostic tools, PACS, RIS, and EMR systems. - Exceptional time management and organizational skills in a virtual work environment. - Strong written communication for clear and concise report generation. - Knowledge of HIPAA and teleradiology-specific data privacy protocols. - Comfortable with high-volume caseloads and maintaining quality standards. - Capable of working independently with minimal supervision. - Technical literacy to troubleshoot basic remote workstation issues. - Familiarity with ACR guidelines, structured reporting, and clinical decision support tools. Benefits - We believe in preventative care for everyone including our team – SimonMed provides free, whole-body scans to each member. - We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Role Description The Remote Radiologist is responsible for interpreting diagnostic imaging studies from a remote setting using advanced teleradiology technology. This role supports nationwide imaging needs with timely and accurate reporting, contributing directly to high-quality patient care without the need for onsite presence. It enables flexibility while maintaining diagnostic excellence and clinical collaboration through virtual platforms. - Interpret a high volume of diagnostic studies remotely, including X-ray, CT, MRI, ultrasound, and other modalities. - Deliver prompt, accurate, and well-documented reports to referring clinicians across multiple locations. - Communicate critical and time-sensitive findings directly with providers via phone or secure messaging systems. - Collaborate with technologists and support staff virtually to ensure protocol adherence and image quality. - Use advanced PACS, RIS, and cloud-based teleradiology systems to manage and review cases. - Participate in quality assurance, peer review, and virtual team meetings. - Maintain up-to-date licensure and compliance documentation for multiple states, as required. - Adhere to all HIPAA and data security standards while working in a remote environment. - Contribute to a consistent workflow with no weekend or evening shifts required. - Support a culture of collaboration and excellence across geographically distributed teams. Qualifications - MD or DO degree from an accredited medical school. - Completion of an accredited Radiology Residency program. - Board Certified or Board Eligible in Diagnostic Radiology (ABR or equivalent). - Active and unrestricted medical licenses in applicable practice states (multi-state licensure preferred). - Prior teleradiology or remote work experience preferred, but not required. Requirements - Proficiency in remote diagnostic tools, PACS, RIS, and EMR systems. - Exceptional time management and organizational skills in a virtual work environment. - Strong written communication for clear and concise report generation. - Knowledge of HIPAA and teleradiology-specific data privacy protocols. - Comfortable with high-volume caseloads and maintaining quality standards. - Capable of working independently with minimal supervision. - Technical literacy to troubleshoot basic remote workstation issues. - Familiarity with ACR guidelines, structured reporting, and clinical decision support tools. Benefits - We believe in preventative care for everyone including our team – SimonMed provides free, whole-body scans to each member. - We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Role Description Cambridge Spark is looking for a Data Science Trainer to deliver our gold-standard technical programmes. While your deep technical expertise will be primarily focused on our Level 6 AI Engineer pathway, this role offers the exciting opportunity to deliver training across our wider portfolio of multiple apprenticeship programmes and high-impact corporate training engagements. You’ll lead deep-dive, hands-on workshops that empower data professionals and software engineers to build, test, and deploy robust machine learning models and advanced analytics solutions. Working across funded apprenticeships and corporate training, you’ll ensure that programmes meet high standards for learner engagement, technical rigour, and applied workplace impact. Key Responsibilities - Deliver the Level 6 AI Engineer curriculum as your primary focus, while also leveraging your expertise to lead advanced technical modules across other apprenticeship pathways and execute bespoke corporate training engagements. - Deliver engaging, hands-on workshops enabling learners to build supervised and unsupervised learning models using libraries like Scikit-Learn, XGBoost, and statsmodels. - Facilitate technical deep dives covering neural networks, deep learning frameworks (TensorFlow/PyTorch), and classical Natural Language Processing techniques. - Instruct learners on writing production-ready code, version control (Git), unit testing, and applying MLOps principles using cloud platforms (AWS, Azure, or GCP). - Facilitate high-quality, interactive training sessions via virtual platforms (our primary model), while maintaining the pedagogical flexibility to travel to client sites or hubs for face-to-face workshops when requested. - Partner with Product Managers to provide technical feedback on curriculum resources, Jupyter Notebook labs, and self-directed learning paths, building complex datasets for modelling. - Implement quality processes as defined by the Quality Team and maintain technical expertise across fast-moving ML frameworks, MLOps tooling, and software engineering best practices. Qualifications - Exceptional hands-on experience building technical solutions in Python, including deep knowledge of the core data science ecosystem (Pandas, Scikit-Learn, etc.) and OOP principles. - Conceptual and mathematical understanding of predictive algorithms, model evaluation metrics, hyperparameter tuning, and bias/variance trade-offs. - Strong practical experience with Git, containerisation (Docker), CI/CD concepts, and deploying models as APIs or within cloud environments. - Familiarity with distributed computing and processing large datasets (e.g., PySpark, Databricks). - Exceptional communication skills with the ability to patiently explain complex mathematical and programmatic concepts to learners with varying baseline skills. Requirements - Demonstrable, hands-on experience working in a commercial industry setting applying these specific technical concepts. - Practical experience fine-tuning open-source LLMs (e.g., LLaMA, Mistral) or engineering with the Hugging Face ecosystem. - Certifications in AWS, Azure, or GCP data/ML specialities. - A formal teaching or training qualification (PGCE, QTS, or equivalent), or substantial enterprise facilitation experience. Benefits - Pension with 4% matched contributions, opportunity to opt into salary sacrifice scheme. - 25 days holiday + Flexi bank holidays + 1 day off on your birthday. - A day for volunteering. - Enhanced Maternity and Paternity Leave. - Health & Wellbeing allowance of up to £30 per month. - Annual Summer and Xmas events. - Company socials including everything from Cambridge College formals, pub nights to team building events. - CPD Allowance alongside quarterly reflections to ring fence time for development and growth. - Private medical insurance and cash plan. - Holiday buy back scheme (up to 10 days p/a). - Employee Assistance Programme with a dedicated company counsellor. Company Description We are an education technology company that enables corporate and government organisations to achieve their business goals by educating their workforce with critical digital transformation skills to succeed in the AI era. We deliver unique and innovative professional education that is accelerating the digital transformation of our clients, advancing the careers of their employees, helping people get into work and closing the digital skills gap. We are in a sector that is crucial to the economy and workforce, with a lot of opportunity for change and innovation. We are at the cutting edge of teaching applied data and digital skills, with our unique patented learning platform EDUKATE.AI offering our clients and learners a unique learning experience. EDUKATE.AI was developed with support from Innovate UK and provides all of our learners with 24/7 immediate feedback on their work, helping accelerate the learning process and providing a sandbox environment to experiment on real world datasets. Since 2016, we have supported more than 15,000 learners across four continents with nearly 550,000 pieces of code submitted for feedback on EDUKATE.AI. We are trusted by some of the most recognisable brands in the world to educate their workforce, including Microsoft, the NHS, GSK, easyJet, the BBC and John Lewis. Our focus on applied learning to create business impact sets us apart - individual learners have reported applying their skills at work to generate recorded value of up to £40m.