4 of 4 Remote Deep Learning Jobs in the South East

AI/ML systems, CI/CD and data pipelines. * Participate in enterprise-wide architecture initiatives for AI/ML. Understand the workflow and pipeline architectures of ML and deep learning workloads. * Conduct security risk assessments and threat modelling for AI/ML and other business projects performed thorough design reviews and security assessments of architectures and designs … AI/ML systems, ensuring security considerations are properly addressed. Key Skills & Experience: * Solid experience as a Security Architect, with a focus on AI/ML security, demonstrating a deep understanding of AI technologies, algorithms, models, and frameworks. * Extensive knowledge of security principles, best practices, and standards within the context of AI/ML systems. * Previous hands-on experience … preferred. * Proficiency in programming languages commonly used in AI/ML, such as Python, R, C, C++, or Java, and their associated security considerations. * Previous experience with ML, LLM, deep learning and data manipulation techniques, libraries, and frameworks such as TensorFlow, PyTorch, Jax, and scikit-learn is desirable. * Experience in implementing secure coding practices, DevOps, CI/CD More ❯

teams. Skills & Experience Essential: - PhD in a mathematics, statistics or quantitative field (or Master's with strong pricing experience). - Excellent Python and Pandas skills. - Strong understanding of machine learning principles (excluding deep learning). - Ability to work independently on complex mathematical problems. - Research-led mindset with a passion for optimisation. Desirable: - Experience with pricing in hospitality … with DS Manager 2nd Stage: Live technical screen share coding task (1 hour) 3rd Stage: Take-home task (up to 3 hours) 4th Stage: Presentation (30 mins) 5th Stage: Deep dive on ML and culture fit Final Stage: VP sign-off conversation How to Apply Send your CV to Mohammed Buhariwala at Harnham or reach out directly for more More ❯

role. Expertise in the application of AI/ML and/or statistical signal processing to sequential data in industry. Experience in Python software development. Experience in ML and deep learning frameworks such as Tensorflow, Pytorch, scikit-learn etc. A background in Aerospace, Defence or Public Sector consulting. Experience in one or more of: RF, CEMA, Electronic/ More ❯

Principal AI Engineer to drive the design and deployment of robust, explainable, production-grade AI systems. You'll collaborate across technical teams to deliver solutions and leverage advanced ML, deep learning, and statistical methods. Your work will span from prototyping to deploying AI services in production with a strong focus on performance, explainability, and cost-efficiency. What You … ll Bring: Deep applied experience in ML/DL , with bonus points for work in threat detection , phishing , or abuse detection Proven ability to design and deploy full-stack AI pipelines in production Strong experience in backend engineering , ideally with Go and ML frameworks like PyTorch or TensorFlow Familiarity with MLOps , cloud infrastructure (AWS) , Kubernetes , and Terraform Experience evaluating More ❯