1 to 25 of 175 Deep Learning Jobs

European deep-tech leader in quantum and AI, backed by major global strategic investors and strong EU support. Our groundbreaking technology is already transforming how AI is deployed worldwide - compressing large language models by up to 95% without losing accuracy and cutting inference costs by 50-80%. Joining … company often described as a "quantum-AI unicorn in the making." About Multiverse Computing Founded in 2019, we are a well-funded, fast-growing deep-tech company with a team of 180+ employees worldwide. Recognized by CB Insights (2023 & 2025) as one of the Top 100 most promising ...

enjoys technical depth, variety, and ownership, and who is comfortable applying the right techniques to each problem - from statistical analysis through to machine learning and deep learning models. You’ll join a small, high-calibre team that values autonomy, flexibility and technical excellence. The environment combines … data science solutions. Owning the full data science lifecycle, from data ingestion and feature engineering through to modelling, evaluation and deployment. Developing statistical, machine learning and deep learning models to support high-impact, real-world decision making. Working with large, structured and unstructured datasets, combining and enriching ...

enjoys technical depth, variety, and ownership, and who is comfortable applying the right techniques to each problem - from statistical analysis through to machine learning and deep learning models. You’ll join a small, high-calibre team that values autonomy, flexibility and technical excellence. The environment combines … data science solutions. Owning the full data science lifecycle, from data ingestion and feature engineering through to modelling, evaluation and deployment. Developing statistical, machine learning and deep learning models to support high-impact, real-world decision making. Working with large, structured and unstructured datasets, combining and enriching ...

enjoys technical depth, variety, and ownership, and who is comfortable applying the right techniques to each problem - from statistical analysis through to machine learning and deep learning models. You’ll join a small, high-calibre team that values autonomy, flexibility and technical excellence. The environment combines … data science solutions. Owning the full data science lifecycle, from data ingestion and feature engineering through to modelling, evaluation and deployment. Developing statistical, machine learning and deep learning models to support high-impact, real-world decision making. Working with large, structured and unstructured datasets, combining and enriching ...

innovation roadmap for our entire AI division. This is a hands-on, high-impact technical leadership role for an individual who excels at merging deep academic research with production-grade engineering . You will be responsible for leading a team of elite researchers and engineers, defining our core … engineering roadmap for the AI platform, prioritizing projects that solve critical, high-complexity technical challenges (e.g., model efficiency, interpretability, real-time inference). Deep Learning & Modeling: Lead the design, implementation, and optimization of advanced deep learning, Generative AI, and Reinforcement Learning models from scratch, pushing ...

innovation roadmap for our entire AI division. This is a hands-on, high-impact technical leadership role for an individual who excels at merging deep academic research with production-grade engineering . You will be responsible for leading a team of elite researchers and engineers, defining our core … engineering roadmap for the AI platform, prioritizing projects that solve critical, high-complexity technical challenges (e.g., model efficiency, interpretability, real-time inference). Deep Learning & Modeling: Lead the design, implementation, and optimization of advanced deep learning, Generative AI, and Reinforcement Learning models from scratch, pushing ...

Deep Learning Researcher Cambridge/London About Us: MicroTECH-Global are working with a global leader in advanced computing, with a dedicated research team focused on applying artificial intelligence to next-generation semiconductor design and optimization. Role Overview: We're seeking a motivated Deep Learning Researcher … with a strong background in machine learning, AI, or related fields. Youll contribute to innovative projects in areas such as large language models (LLMs), reinforcement learning, and optimization for chip design and AI system integration. Responsibilities: Conduct and publish cutting-edge AI/ML research Design algorithms ...

looking for a passionate, talented, and inventive MLE to help build industry leading state of the art solutions. You will be leveraging text mining, deep learning, content understanding, document processing and more. You will prototype machine learning models that deliver more personalized and automated customer experiences throughout … revolutionary solution that changes the way people live, work, and come to agreement. This position is an individual contributor role reporting to the Machine Learning Engineering Manager. Responsibility Work together with the ML team to perform research, testing and evaluation of existing and emerging NLP/ML/ ...

business side of things - identify opportunities to improve revenue growth and reduce churn. Own product lifecycle including data preparation, data cleaning, data analysis, machine learning, and computer vision using Python, Pandas, Scikit, Plotly, Tensorflow, PyTorch, CUDA, and C++ to create decisions and visualizations and present these insights and visualizations … other members of the company at different levels of technical sophistication. Formulate and design algorithms, develop and apply statistics, machine learning, deep learning, and computer vision techniques using Docker, Tensorflow, AWS Batch, AWS EC2, and AWS Lambda to create scalable solutions for video processing and visualization. Evaluate ...

live deployment. What You’ll Be Doing: Designing, building and deploying production-ready AI and data science solutions Training and shipping advanced machine learning, deep learning and reinforcement learning models Developing AI systems using Large Language Models Building robust data pipelines for extraction, cleaning and transformation … data science solutions end to end Advanced Python skills with libraries such as Pandas, NumPy and scikit-learn Hands-on experience with machine learning techniques (e.g. tree-based models, regression) Practical exposure to deep learning and reinforcement learning approaches Experience working with SQL and structured data ...

live deployment. What You’ll Be Doing: Designing, building and deploying production-ready AI and data science solutions Training and shipping advanced machine learning, deep learning and reinforcement learning models Developing AI systems using Large Language Models Building robust data pipelines for extraction, cleaning and transformation … data science solutions end to end Advanced Python skills with libraries such as Pandas, NumPy and scikit-learn Hands-on experience with machine learning techniques (e.g. tree-based models, regression) Practical exposure to deep learning and reinforcement learning approaches Experience working with SQL and structured data ...

Deep Learning Researcher Cambridge/London About Us: MicroTECH-Global are working with a global leader in advanced computing, with a dedicated research team focused on applying artificial intelligence to next-generation semiconductor design and optimization. Role Overview: We're seeking a motivated Deep Learning Researcher … with a strong background in machine learning, AI, or related fields click apply for full job details ...

development, and implementation of advanced AI/ML models, frameworks, and systems. A notable part of the role involves building, training, and optimising machine learning models, including deep learning computer vision models, and fine-tuning natural language processing (NLP), and integrating third party generative AI models. Ideal … background: 3+ years of experience in machine learning, deep learning or AI engineering Advanced proficiency in Python and ML frameworks like PyTorch Experience deploying and maintaining scalable production-grade AI systems Strong understanding of data pipelines, MLOps and cloud platforms (AWS) Experience working in small ...

will lead the scaling and build out of the key product, applying it to new business situations using a combination of AI and machine learning techniques. You will leverage your expertise in product management and leadership skills to guide and mentor your team, ensuring the successful implementation and continuous … your role, as well as providing development for other roles you may be interested in. Required Qualifications Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or related field, or a Master's degree combined with significant industry experience Experience leading deep learning teams in a corporate setting ...

work environment where everyone belongs. Responsibilities Architect, design, build, and oversee the deployment of large scale AI/ML systems, including natural language processing, deep learning, and generative AI solutions Drive AI strategy and roadmap in collaboration with engineering, product, and business leaders Lead cross functional initiatives that … frameworks for automated data extraction, cleaning, transformation, and model evaluation at scale Mentor and coach data scientists and engineers, fostering technical excellence and continuous learning Drive research and innovation, staying current with AI/ML advancements and influencing technology adoption Present strategy, plans, and findings to executive leadership ...

Start Your Career as a Machine Learning Engineer Are you excited by the idea of building intelligent systems that learn from data? Are you looking to start a career at the intersection of software engineering and data science? We are looking for a motivated and curious Graduate Machine Learning Engineer to join our growing AI & Machine Learning team. In this role, you’ll help design, develop, and deploy machine learning models that solve real-world problems — all while receiving hands-on training, mentoring, and support from experienced ML engineers and data scientists. Whether you studied Computer ...

models. Leverage expert technical approaches to develop and implement validation testing plans. Replicate model development and may develop challenger models through predictive modeling, machine learning, deep learning, time-series modeling/forecasting, stress testing, heuristic models, actuarial models, simulation, optimization, and/or other highly specialized techniques. … benchmarking, and other robust model testing. Extensive Experience with at least three of the following statistical, econometric, data science, and predictive modeling approaches: Unsupervised Learning; K-Means; Linear Regression; Time-Series/Forecasting; Stress Testing; Logistic Regression; Gaussian Process; Simulation Models; Boosting/Bagging Trees; Neural Networks; Deep ...

models. Leverage expert technical approaches to develop and implement validation testing plans. Replicate model development and may develop challenger models through predictive modeling, machine learning, deep learning, time-series modeling/forecasting, stress testing, heuristic models, actuarial models, simulation, optimization, and/or other highly specialized techniques. … benchmarking, and other robust model testing. Extensive Experience with at least three of the following statistical, econometric, data science, and predictive modeling approaches: Unsupervised Learning; K-Means; Linear Regression; Time-Series/Forecasting; Stress Testing; Logistic Regression; Gaussian Process; Simulation Models; Boosting/Bagging Trees; Neural Networks; Deep ...

models. Leverage expert technical approaches to develop and implement validation testing plans. Replicate model development and may develop challenger models through predictive modeling, machine learning, deep learning, time-series modeling/forecasting, stress testing, heuristic models, actuarial models, simulation, optimization, and/or other highly specialized techniques. … benchmarking, and other robust model testing. Extensive Experience with at least three of the following statistical, econometric, data science, and predictive modeling approaches: Unsupervised Learning; K-Means; Linear Regression; Time-Series/Forecasting; Stress Testing; Logistic Regression; Gaussian Process; Simulation Models; Boosting/Bagging Trees; Neural Networks; Deep ...

models. Leverage expert technical approaches to develop and implement validation testing plans. Replicate model development and may develop challenger models through predictive modeling, machine learning, deep learning, time-series modeling/forecasting, stress testing, heuristic models, actuarial models, simulation, optimization, and/or other highly specialized techniques. … benchmarking, and other robust model testing. Extensive Experience with at least three of the following statistical, econometric, data science, and predictive modeling approaches: Unsupervised Learning; K-Means; Linear Regression; Time-Series/Forecasting; Stress Testing; Logistic Regression; Gaussian Process; Simulation Models; Boosting/Bagging Trees; Neural Networks; Deep ...

models. Leverage expert technical approaches to develop and implement validation testing plans. Replicate model development and may develop challenger models through predictive modeling, machine learning, deep learning, time-series modeling/forecasting, stress testing, heuristic models, actuarial models, simulation, optimization, and/or other highly specialized techniques. … benchmarking, and other robust model testing. Extensive Experience with at least three of the following statistical, econometric, data science, and predictive modeling approaches: Unsupervised Learning; K-Means; Linear Regression; Time-Series/Forecasting; Stress Testing; Logistic Regression; Gaussian Process; Simulation Models; Boosting/Bagging Trees; Neural Networks; Deep ...

models. Leverage expert technical approaches to develop and implement validation testing plans. Replicate model development and may develop challenger models through predictive modeling, machine learning, deep learning, time-series modeling/forecasting, stress testing, heuristic models, actuarial models, simulation, optimization, and/or other highly specialized techniques. … benchmarking, and other robust model testing. Extensive Experience with at least three of the following statistical, econometric, data science, and predictive modeling approaches: Unsupervised Learning; K-Means; Linear Regression; Time-Series/Forecasting; Stress Testing; Logistic Regression; Gaussian Process; Simulation Models; Boosting/Bagging Trees; Neural Networks; Deep ...

future where human well-being is safeguarded while closing the gaps in critical global labour needs. What You'll Do: Train policies via representation learning, behaviour cloning and RL; own the full loop from data to deployment. Partner with teleoperations to drive data collection: specify what “good” looks like … with MLOps & Data Platform teams to scale distributed training and optimize models for real‐time edge inference. We’re Looking For: 3+ years building deep‐learning systems (industry or research) with shipped models or published artifacts to show for it. Hands‐on with at least one of: LLMs ...

future where human well-being is safeguarded while closing the gaps in critical global labour needs. What You'll Do: Train policies via representation learning, behaviour cloning and RL; own the full loop from data to deployment. Partner with teleoperations to drive data collection: specify what “good” looks like … with MLOps & Data Platform teams to scale distributed training and optimize models for real‐time edge inference. We’re Looking For: 3+ years building deep‐learning systems (industry or research) with shipped models or published artifacts to show for it. Hands‐on with at least one of: LLMs ...

frameworks, and tools. Application Development with LLMs: Experience in building scalable applications using LLMs, utilizing frameworks such as LangChain, LlamaIndex, etc and productionizing machine learning and AI models. Language Model Development: Utilize off-the-shelf LLM services, such as Azure OpenAI, to integrate LLM capabilities into applications. Cloud Computing … Cloud Services. Technical Proficiency: Strong skills in UNIX/Linux environments and command-line tools. Programming and ML Skills: Proficiency in Python, with a deep understanding of machine learning algorithms, deep learning, and generative models. Advanced AI Skills and Testing: Familiarity with deep learning ...