16 Reinforcement Learning Jobs

modelling, management, DBA experience are desirable Experienced in applying some of the data science techniques to project work, including data visualisation, package development, machine learning, NLP, Shiny/Dash, optimisation, deep learning, reinforcement learning Some knowledge of MLOps, implementation experience in MLOps is desirable Daily use … life balance by offering flexibility in where you work. We also promote well-being and provide access to Well Being Coaches. Your development and learning will be taken seriously, and we'll support your professional development with training and certification, with regular feedback and review. It is a fun more »

strategic leadership and guidance in the design and development of advanced GenAI architectures and solutions. Define and evolve the architecture of GenerativeAI and machine learning platforms, ensuring alignment with business objectives, scalability, and performance requirements. Stay abreast of the latest advancements in GenAI research and technology trends, and leverage … partners, to communicate technical vision, gather feedback, and drive alignment on strategic initiatives. Qualifications: Master's or Ph.D. in computer science, artificial intelligence, machine learning, or a related field. Experience in designing and implementing complex AI architectures, including deep learning, reinforcement learning, and other generative AI more »

Machine Learning Engineer Edinburgh (remote) £50,000-£65,000 About the Company: Our client is a visionary network intelligence company at the forefront of developing a cutting-edge deep traffic analysis platform for mobile network operators. Their innovative solutions help reduce operational costs, optimize energy consumption, and enhance user … top 100 AI companies in 2022, this startup is driving transformative change in the telecom industry. Role Overview: We are seeking an enthusiastic Machine Learning Engineer to join our team and work on designing, training, testing, and integrating industry-grade machine learning models for deep mobile network traffic … architectures for traffic forecasting, anomaly prediction, and decomposition, collaborating with other ML engineers and receiving guidance from senior leadership. Key Responsibilities for a Machine Learning Engineer: Develop and debug code in Python, utilizing deep learning frameworks like TensorFlow 2 and Keras Perform in-depth data analysis tasks and more »

Machine Learning Engineer £70-120k + benefits London Hybrid Why Join? AI/ML driven business Innovation is core to business success Global leader in this space with leading international orgs as customers Forge your career path, opportunity to follow leadership or senior IC positions Work with people … from across the globe Create and improve innovative products with a real world impact Responsibilities: Research, design, and implement machine learning algorithms and models to address business challenges and opportunities. Collect, preprocess, and analyze large datasets to extract meaningful insights and features. Develop and deploy scalable machine learning … scientists, mlops engineers and product managers to define requirements and deliver solutions that meet business objectives. Stay current with the latest developments in machine learning and related fields, and apply cutting-edge techniques to enhance our capabilities. Requirements: Solid understanding of machine learning concepts and techniques, including supervised more »

fertility, pregnancy and menopause. This is a fully remote position and the salary is between 50-75k. They are looking for a Machine Learning engineer who can lead the company’s AI R&D to leverage cutting edge research and incorporate emerging technologies into their NLP and conversational … AI solutions Essential skills 4+ years of industry experience in developing Machine Learning models and maintaining them in a production environment Solid understanding of Machine learning concepts and algorithms, including supervised and unsupervised learning, deep learning and reinforcement learning. Experience with NLP and LLMs’ and … attention mechanism, transformer technologies etc.) Experience in deploying NLP pipelines to production Python experience including data science libraries (scikit-learn, pandas, NumPy) and deep learning frameworks (Tensorflow, Pytorch) Desirable Experience with virtual agent platforms such as IBM Watson or DialogFlow Team leading experience Proven experience in CI environments, unit more »

or tools. Excellent verbal and written communication skills Proficient in using MS Office suite (Excel, PowerPoint & Word). Desirable: Familiarity tools related to machine learning operations. Experience with AWS Knowledge of Reinforcement Learning techniques. Unfortunately sponsorship is not provided for this role If you are interested please more »

researchers from various disciplines. Responsibilities : Research and Development: Stay updated with the latest advancements in AI, specifically focusing on Large Language Models (LLMs) and Reinforcement Learning (RL). Develop and implement innovative solutions to improve existing systems or create new ones. Model Training and Integration : Train and integrate … machine learning models, with a particular focus on LLMs. Utilise techniques such as transfer learning and fine-tuning to adapt pre-trained models to specific tasks or domains. Engineering : Apply strong coding skills in Python to develop and maintain robust, scalable systems. Follow object-oriented design principles and … positive and collaborative team environment. MLOps and Deployment : Apply knowledge of MLOps principles and practices to streamline the development, deployment, and monitoring of machine learning systems. Deploy ML models into production environments. Requirements : Master's or PhD in Computer Science, Engineering, or a related field. 5+ years' experience with more »

researchers from various disciplines. Responsibilities : Research and Development: Stay updated with the latest advancements in AI, specifically focusing on Large Language Models (LLMs) and Reinforcement Learning (RL). Develop and implement innovative solutions to improve existing systems or create new ones. Model Training and Integration : Train and integrate … machine learning models, with a particular focus on LLMs. Utilise techniques such as transfer learning and fine-tuning to adapt pre-trained models to specific tasks or domains. Engineering : Apply strong coding skills in Python to develop and maintain robust, scalable systems. Follow object-oriented design principles and … positive and collaborative team environment. MLOps and Deployment : Apply knowledge of MLOps principles and practices to streamline the development, deployment, and monitoring of machine learning systems. Deploy ML models into production environments. Requirements : Master's or PhD in Computer Science, Engineering, or a related field. 5+ years’ experience with more »

scalability of AI models to ensure smooth and efficient operation in real-world scenarios. Stay abreast of the latest advancements in AI and machine learning, and leverage emerging technologies to drive innovation in our product offerings. Provide technical leadership and mentorship to junior members of the team, fostering a … culture of learning and continuous improvement. Qualifications: Bachelor's degree or higher in computer science, engineering, or a related field. 5+ years of experience in software development, with a focus on AI, machine learning, and natural language processing. Proficiency in programming languages such as Python, C++, or Java … as well as familiarity with machine learning frameworks such as TensorFlow or PyTorch. Strong understanding of AI concepts and techniques, including neural networks, deep learning, and reinforcement learning. Experience with cloud computing platforms such as Azure, AWS, or Google Cloud, and familiarity with containerization technologies such as more »

where necessary, extending the current state of the art in AI/ML in areas like generative AI, verifiable AI, neuro-symbolic AI and reinforcement learning. Take ownership of specific aspects of industrial R&D projects as needed. Contribute to developing commercial AI/ML proofs of concepts and … related business development activities. Requirements Broad, deep and hands-on experience with key AI/ML technologies including, but not limited to classical machine learning, deep learning, and data science: in terms of algorithms, data engineering, software tools and hardware. Experience carrying out fundamental research in a relevant … area is highly desirable. Demonstrable experience working with Python in the standard machine learning/deep learning stack, utilising software engineering principles. Experience with using cloud-based services for the development and deployment of machine learning models. Familiarity with the software stack including git, SQL, and Docker. more »

product and engineering teams across the globe. The Intelligent Systems team is at the forefront of driving innovation through cutting-edge data science, machine learning, and generative AI technologies. As a crucial part of our organization, this team is poised for substantial growth in the coming year and beyond. … development life cycle. Automating quality assurance processes and cloud resource allocation in software development. Requirements PhD or advanced Masters in Statistics, Computer Science, Machine Learning & AI, Mathematics, or Physics. Hands-on experience in at least three of the following areas: Generative AI, Supervised and Unsupervised Learning, Deep Learning, Computer Vision, Recommendation Systems, Knowledge Graphs, Probabilistic Inference, Bayesian Statistics, Reinforcement Learning. Strong industry experience, with a focus on taking concepts and models from conception to production and quantifying business impact. Proficiency in Python programming. Expertise in GIT and the data science Python stack. Experience with real-world more »

to practical execution. The role can be remote within the UK. The Profile: Broad experience of using a range of predictive modelling and machine learning techniques to tackle business problems across commercial sectors. Ability to translate complex analytical solutions into transparent and actionable business insight. Strong stakeholder engagement skills. … Advanced knowledge of statistics and ML techniques (both supervised and unsupervised), knowledge of emerging technologies e.g. Reinforcement Learning is advantageous. Advanced user of Python and/or R, with cloud analytics experience. This is a fantastic opportunity for a passionate experienced data scientist with ambition to grow their more »

insights to help them harness the full potential of AI within their organizations. Mentoring and guiding junior team members, fostering a culture of continuous learning and innovation. REQUIREMENTS: A Bachelor's degree in Computer Science, Engineering, Mathematics, or a related discipline; advanced degree preferred. Demonstrated success in designing and … delivering AI solutions within the insurance domain , with hands-on experience across predictive modeling, natural language processing, computer vision, and reinforcement learning. Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch), programming languages (e.g., Python, Java), and cloud platforms (e.g., AWS, Azure, GCP). Thorough comprehension of insurance business more »

fluent in SQL (any flavor) for analysis; Experienced in applying a broad range of data science techniques, including data manipulation, visualization, package development, machine learning algorithms, NLP, Shiny/Dash, deep learning, and reinforcement learning. Highly skilled in R package development, functional programming principles, documentation best practices more »

insights to help them harness the full potential of AI within their organizations. Mentoring and guiding junior team members, fostering a culture of continuous learning and innovation. REQUIREMENTS: A Bachelor's degree in Computer Science, Engineering, Mathematics, or a related discipline; advanced degree preferred. Demonstrated success in designing and … delivering AI solutions within the insurance domain , with hands-on experience across predictive modeling, natural language processing, computer vision, and reinforcement learning. Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch), programming languages (e.g., Python, Java), and cloud platforms (e.g., AWS, Azure, GCP). Thorough comprehension of insurance business more »

insights to help them harness the full potential of AI within their organizations. Mentoring and guiding junior team members, fostering a culture of continuous learning and innovation. REQUIREMENTS: An education in Computer Science, Engineering, Mathematics, or a related discipline Demonstrated success in designing and delivering AI solutions within the … insurance domain , Hands-on experience across predictive modelling, natural language processing, computer vision, and reinforcement learning. Proficiency in ML frameworks (e.g., TensorFlow, PyTorch), programming languages (e.g., Python, Java), and cloud platforms (e.g., AWS, Azure, GCP). Thorough comprehension of insurance business processes and regulatory frameworks, with the ability to more »