economic crime across the NHS. Further information about our work and annual plan for delivering this is available on our website. The Data Scientist role requires expertise in machine learning, statistical analysis, anomaly detection, and strong communication and collaboration skills. Key responsibilities include developing innovative models, designing, applying, and optimising models in a dynamic environment. The role is critical … in project planning, using data to drive business objectives, and defining project directions to achieve financial targets. With a deep understanding of data science, including machine learning, predictive modelling, and deeplearning, the Data Scientist will tackle complex challenges and extract actionable insights from diverse datasets. They will lead model development and ensure solutions meet business … transparency, integrity, and compliance throughout the portfolio. Prepare data for model development and selection using techniques such as, sampling, feature engineering and normalisation etc. Leverage advanced AI and machine learning techniques, including deeplearning, to improve fraud detection and prevention models while adhering to privacy regulations. About us We have offices based in Coventry, Newcastle and London More ❯
Newcastle upon Tyne, United Kingdom Hybrid / WFH Options
NHS Counter Fraud Authority
economic crime across the NHS. Further information about our work and annual plan for delivering this is available on our website. The Data Scientist role requires expertise in machine learning, statistical analysis, anomaly detection, and strong communication and collaboration skills. Key responsibilities include developing innovative models, designing, applying, and optimising models in a dynamic environment. The role is critical … in project planning, using data to drive business objectives, and defining project directions to achieve financial targets. With a deep understanding of data science, including machine learning, predictive modelling, and deeplearning, the Data Scientist will tackle complex challenges and extract actionable insights from diverse datasets. They will lead model development and ensure solutions meet business … transparency, integrity, and compliance throughout the portfolio. Prepare data for model development and selection using techniques such as, sampling, feature engineering and normalisation etc. Leverage advanced AI and machine learning techniques, including deeplearning, to improve fraud detection and prevention models while adhering to privacy regulations. About us We have offices based in Coventry, Newcastle and London More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Harnham - Data & Analytics Recruitment
designing and implementing AI systems that make a difference. What You'll Work On Design and implement AI solutions across a range of applications (e.g., NLP, computer vision, reinforcement learning). Develop and optimize algorithms that power our products. Build and maintain the infrastructure needed to train, evaluate, and deploy AI models at scale. Collaborate closely with data scientists … state-of-the-art AI techniques to keep us at the cutting edge. What We're Looking For Strong programming skills in Python (bonus: C++, Java). Experience with deeplearning frameworks such as TensorFlow, PyTorch, or similar. Solid understanding of AI algorithms, architectures, and deployment strategies. Familiarity with model optimization, quantization, or on-device inference is a … + equity - share in our success. Remote flexibility with a collaborative and supportive team culture. Work on challenging, meaningful AI projects with real-world impact. Opportunities for growth and learning - conferences, courses, mentorship. A chance to help shape both our technology and company culture from the ground up. More ❯
Reading, Berkshire, South East, United Kingdom Hybrid / WFH Options
LA International Computer Consultants Ltd
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 deeplearning 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, deeplearning 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 ❯
Security Risk Analyst - Artificial Intelligence (AI) - Machine Learning (ML) Our client, a global insurance organisation, is looking to recruit the services of an experienced Senior Risk Analyst with deep expertise in Artificial Intelligence (AI), Machine Learning (ML), and Large Language Models (LLMs) to join our client's Security Risk Management team. This role plays a pivotal part … to internal governance groups and help shape AI risk frameworks. Required Skills & Experience 10+ years of professional experience, including demonstrable AI/ML expertise. Hands-on knowledge of LLMs, deeplearning frameworks (eg, PyTorch, TensorFlow). Advanced Python skills; SQL a plus. Experience articulating risks in business terms and advising on mitigation. Excellent stakeholder communication skills, up to More ❯
with: Proficiency in Python and strong software engineering skills. Experience in deploying and monitoring production-ready systems in the cloud. Knowledge of Large Language Models, natural language processing, and deep learning. A passion for creating AI products that enhance human capabilities. A collaborative spirit and the ability to communicate complex concepts clearly. Bonus Points: Experience with containerisation (Docker), AI More ❯