5 of 5 Remote PhD Jobs in Stockport

of start-up life where initiative, velocity and creativity are hugely valued A relevant technical degree - either a Bachelors or Masters with solid and demonstrable industry experience, or, a PhD related to cryptography with some industry experience Deep understanding and a practical background in cryptographic algorithms (symmetric and asymmetric) and their hardware architectures Expertise in cryptographic primitive design and implementation More ❯

leading and mentoring teams, supporting both performance and development. Confident delivering hybrid (in-person & virtual) presentations to senior technology and business leaders. Certifications (Highly Beneficial) Degree (MSc, MBA or PhD) in Computer Science, Engineering, Business, Finance or related. Microsoft certifications across M365, Dynamics 365, Power Platform, Copilot, SharePoint, Azure, Fabric. Product, solutions or delivery certifications (e.g. TOGAF, SAFe, Agile) desirable. More ❯

problem solutions Develop scoring rubrics and evaluate AI model outputs Analyse and review model performance with clear feedback Collaborate with international experts and AI teams Qualifications: Master's or PhD (or currently enrolled) in a relevant field Demonstrated subject matter expertise Strong analytical, problem-solving, and communication skills Excellent written English Ready to join a truly global community of experts More ❯

problem solutions Develop scoring rubrics and evaluate AI model outputs Analyse and review model performance with clear feedback Collaborate with international experts and AI teams Qualifications: Master's or PhD (or currently enrolled) in a relevant field Demonstrated subject matter expertise Strong analytical, problem-solving, and communication skills Excellent written English Ready to join a truly global community of experts More ❯

Role: Machine Learning Researcher Location: Remote We are hiring experienced ML researchers and PhD professionals to contribute to cutting-edge AI research — advancing model benchmarking, evaluation, and real-world performance analysis. Key Responsibilities: Design and compile complex ML tasks inspired by real-world applications. Validate implementations, assess reproducibility, and identify performance gaps. Provide structured, high-quality feedback on model behavior … and results. Requirements: PhD or 5+ years of experience in Machine Learning, AI Research, or related fields. Strong grasp of ML experimentation, benchmarking, and evaluation methodologies. Excellent analytical, research, and communication skills. Ability to work independently in a remote, flexible environment. Perks: Fully remote, flexible schedule (20–40 hrs/week, extendable). Competitive hourly compensation — up to $120/ More ❯