3 of 3 Reinforcement Learning Jobs in Hertfordshire

skills Relevant experience (Post-Doctoral or industrial) in robotics, data fusion, tracking/estimation, pattern discovery & recognition, statistical inference, optimisation and machine/deep learning algorithms along with real-time implementation, and/or validation & verification is a strong advantage Experience in Matlab, Simulink and/or Stateflow, Python … filters, grid-based estimation methods, Multi-Object-Multi-Sensor Fusion, data-association, random finite sets, Bayesian belief networks, Dempster-Shafer theory of evidence Machine Learning for regression and pattern recognition/discovery problems e.g. Gaussian processes, latent variable methods, support vector machines, probabilistic/statistical models, neural networks, Bayesian … inference, random-forests, novelty detection, clustering Deep Learning e.g. Deep reinforcement learning, Monte-Carlo tree search, deep regression/classification, deep embeddings, recurrent Networks, natural language processing Computer Vision algorithms e.g. Structure from motion, image Based navigation, SLAM, pose estimation/recovery To be considered for the More ❯

translate into business value. We embrace a fast-paced, entrepreneurial mindset, enabling us to iterate rapidly and refine our AI strategies based on continuous learning and real-world feedback. Key Responsibilities AI Research and Model Development Conducting research in AI, using a full range of machine learning and … optimising AI that enhances automation and decision-making. Ensuring AI models are scalable and efficient for real-world enterprise deployment. Experimenting with different machine learning and GenAI techniques, including prompt engineering, RAG (Retrieval Augmented Generation), fine-tuning of LLMs, RLHF (reinforcement learning with human feedback), and adversarial … friendly manner. Leading AI experimentation initiatives and contributing to internal strategy discussions. Engaging with customers to understand AI needs and create practical solutions. Continuous learning and innovation. Staying up-to-date with AI and ML research relevant to HR and workforce management. Exploring new techniques in deep learning More ❯

translate into business value. We embrace a fast-paced, entrepreneurial mindset, enabling us to iterate rapidly and refine our AI strategies based on continuous learning and real-world feedback. In this role your key responsibilities will include: AI Research and Model Development Conducting research in AI, using a full … range of machine learning and GenAI techniques to develop solutions across the entire HR lifecycle. Designing and optimising AI that enhances automation and decision-making. Ensuring AI models are scalable and efficient for real-world enterprise deployment. Experimenting with different machine learning and GenAI techniques, including prompt engineering … RAG (Retrieval Augmented Generation), fine-tuning of LLMs, RLHF (reinforcement learning with human feedback), and adversarial techniques. Evaluating AI model performance using statistical and business-driven metrics. Working on natural language to SQL AI transformations to extract data value. Working on natural language to other meta-language translation More ❯