Software Development Engineer - MachineLearning Job ID: Amazon Europe Core Sarl - D40 Do you want to solve business challenges through innovative technology? Do you enjoy working on cutting-edge, scalable services technology in a team environment? Do you like working on industry-defining projects that move the needle … Science, Computer Engineering, or related fields at time of application Knowledge of Computer Science fundamentals Experience with Natural Language Processing, Computer Vision, or Deep Learning PREFERRED QUALIFICATIONS Previous technical internship(s) if applicable Experience with distributed, multi-tiered systems, algorithms, and relational databases Experience such as linear programming and … solutions Adept at handling ambiguous or undefined problems as well as ability to think abstractly Experience with Natural Language Processing: Java or Python, and ML, AI, Labeling, Annotation, Data Pipeline, Big Data, AWS, or Cloud Services Experience with Computer Vision: Kernel, Hardware Accelerator, TVM, or Code-gen Experience with Deep More ❯
ways. We're looking for a Data Engineer to join a squad passionate about delivering pioneering search experiences powered by MachineLearning (ML) and Large Language Models (LLMs). In this role, you'll help craft the team's data strategy and build the systems that power smarter … more intuitive discovery on Spotify. You'll work alongside a dedicated mix of ML and Backend Engineers to tackle some of Spotify's most exciting challenges in retrieval, ranking, and personalization. If you're excited by data systems, ML-powered products, and the opportunity to impact how millions of people … the role for you. What You'll Do Design, build, and maintain scalable, reliable data pipelines that support advanced search capabilities. Partner closely with ML and Backend Engineers to enable features like organic search retrieval and personalized recommendations. Continuously assess and improve the health of the team's data stack More ❯
basis of disease states by detailed characterisation of patients during diagnostic and therapeutic procedures through designing and conducting multicentre randomised clinical trials to applying machinelearning and Artificial Intelligence techniques to data extracted from routine health records. The work will also include areas relevant to the BHF Centre … Biomedical ontologies/Semantic Web technologies Information retrieval, data analytics and/or text mining on Electronic Health Records and biomedical literature Knowledge of machinelearning/deep learning with an interest in the application to electronic patient records Understanding or interest in graph data models/ More ❯
Senior MachineLearning Scientist (Generative AI) - Viator London, England About Viator Viator, a Tripadvisor company, is the leading marketplace for travel experiences. We believe that making memories is what travel is all about. And with 300,000+ travel experiences to explore-everything from simple tours to extreme adventures … for model monitoring, including output quality, hallucination detection, and user feedback loops. Understanding use cases for Agentic AI communicating your findings with the wider ML team and product. Utilize RLHF methodologies to build feedback mechanisms that directly shape the behavior and quality of our generative AI outputs. Collaborate cross-functionally … least 2 years of experience with LLM. Awareness of current LLM techniques, prompt tuning, evaluations and model monitoring. In-depth knowledge of AI/ML/DL, Statistics, and related open-source libraries. Strong skills in SQL and at least one programming language. To be comfortable in code reviews, discussing More ❯
pragmatically solving the business problem at hand and to get technical feedback for personal growth. The function iwoca's Data Scientists specialise in Supervised MachineLearning, Statistical Inference and Exploratory Statistics, focusing on tabular and time series data. Our work emphasises quantitative predictions through the analysis of conditional … capability to efficiently manage projects end-to-end. Experience working on research projects, particularly those involving mathematical, statistical, or analytical modelling. Bonus: Experience building machinelearning models from scratch (e.g., built your own optimiser). Excellent knowledge of stochastic processes and related mathematical techniques. Experience with Bayesian analysis. … application. We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews. The culture At iwoca, we prioritise a culture of learning, growth, and support, and invest in the professional development of our team members. We value thought and skill diversity, and encourage you to explore More ❯
imagine, design, and make a better world. We are a team of scientists, researchers, engineers, and designers working together on projects that range from learning-based design systems, computer vision, graphics, robotics, human-computer interaction … sustainability, simulation, manufacturing, architectural design and construction. This role will report to a Manager of Research Science in the AI Lab. Responsibilities Develop new ML models and AI techniques Lead on research projects within a global team Review relevant AI/ML literature to identify emerging methods, technologies, and best … new data sources and discover techniques for best leveraging data Minimum Qualifications A Master's or PhD in a field related to AI/ML such as: Computer Science, Mathematics, Statistics, Physics, Linguistics, Mechanical Engineering, Architecture or related disciplines Strong background applying Deep Learning techniques (including implementing custom architectures More ❯
market accounts to enterprise-level customers including public sector. AWS Asia Pacific & Japan (APJ) Professional Services (ProServe) is seeking a Senior Consultant, AI/ML for its Technology & Industry team. This role will focus on helping customers build or migrate their data-driven business workloads on AWS. From ideation through … in Singapore but have an APJ wide remit in the Professional Services team. Successful candidates will be experienced and motivated business-oriented AI/ML practitioners. They must possess a unique balance of business knowledge and technology depth in Artificial Intelligence and MachineLearning with delivery implementation experience. … Their focus will be on providing pre-sales support with customer executives followed by hands-on delivery for AI/ML workloads. Successful candidates will have executive level experience in leading, defining, designing and deploying enterprise level strategic solutions leveraging Data, Artificial Intelligence, and Machine Learning. Domain expertise should More ❯
Manager based out of Bengaluru, India. We are seeking a Senior Product Manager to lead the development and execution of machinelearning (ML) products that drive business value through forecasting, personalisation, and automation for Smartphones & Consumer Electronics categories. You will work closely with ML scientists, engineers, and business … stakeholders to build and scale ML/AI-powered solutions that improve efficiency and customer experience. Key Responsibilities: Own end-to-end product development for ML-based tools focusing on demand forecasting, personalization, and automation products Partner with ML science teams to translate business requirements into technical solutions and drive … Drive product adoption through detailed documentation, training, and stakeholder management Lead the product roadmap development and prioritisation process Identify and evaluate new opportunities for ML applications in the business Basic Qualifications: 3+ years of product or program management, product marketing, business development or technology experience Bachelor's degree or equivalent More ❯
s challenges! It would be great if you also had experience in some of these, but if not we'll help you with them MachineLearning software e.g. Amazon and Azure machinelearning, or Google's TensorFlow Deploying and managing in Cloud Computing such as AWS … dedicated Career Manager to help you develop your career and guide you on your journey through BAE Don't know a particular technology? Your learning and development is key to your future career and we provide a range of excellent training courses to enable you to upskill in a More ❯
to manage the trillions of dollars spent on rent globally. We recently closed a pre-seed round and are hiring one talented AI/ML engineer with a strong software engineering background and a passion for deploying AI/ML models into real-world, production-grade applications. Apply if: You … have strong foundational software engineering knowledge, including data structures, algorithms, system design, and OOP. You have advanced knowledge of LLM architectures and ML/DL frameworks (e.g. TensorFlow, PyTorch, LangChain, Keras, scikit-learn). You're ready to design, deploy and maintain production-grade MachineLearning systems. You … will: Write high-quality, maintainable, well-documented, and tested code, adhering to software engineering best practices. Design, implement, and deploy production-grade AI/ML models to address various platform needs (including NLP and OCR). Optimise AI models and associated systems for performance, scalability, and cost-effectiveness in a More ❯
to manage the trillions of dollars spent on rent globally. We recently closed a pre-seed round and are hiring one talented AI/ML engineer with a strong software engineering background and a passion for deploying AI/ML models into real-world, production-grade applications. Apply if: You … have strong foundational software engineering knowledge, including data structures, algorithms, system design, and OOP. You have advanced knowledge of LLM architectures and ML/DL frameworks (e.g. TensorFlow, PyTorch, LangChain, Keras, scikit-learn). You're ready to design, deploy and maintain production-grade MachineLearning systems. You … will: Write high-quality, maintainable, well-documented, and tested code, adhering to software engineering best practices. Design, implement, and deploy production-grade AI/ML models to address various platform needs (including NLP and OCR). Optimise AI models and associated systems for performance, scalability, and cost-effectiveness in a More ❯
Senior MachineLearning Scientist (Generative AI) - Viator London, England About Viator Viator, a Tripadvisor company, is the leading marketplace for travel experiences. We believe that making memories is what travel is all about. And with 300,000+ travel experiences to explore-everything from simple tours to extreme adventures … for model monitoring, including output quality, hallucination detection, and user feedback loops. Understanding use cases for Agentic AI communicating your findings with the wider ML team and product. Utilize RLHF methodologies to build feedback mechanisms that directly shape the behavior and quality of our generative AI outputs. Collaborate cross-functionally … least 2 years of experience with LLM Awareness of current LLM techniques, prompt tuning, evaluations and model monitoring. In-depth knowledge of AI/ML/DL, Statistics, and related open-source libraries. Strong skills in SQL and at least one programming language. To be comfortable in code reviews, discussing More ❯
leading marketing and analytics agency is seeking a Lead Data Scientist to develop and deploy end-to-end AI solutions. You'll work on machinelearning models for retention, price optimisation, recommendation engines, NLP, and Computer Vision. Responsibilities: Design, develop, and productionize machinelearning models across … Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong Python skills (bonus: C++, SQL, Spark) Experience in ML algorithms (XGBoost, clustering, regression) Expertise in Time Series, NLP, Computer Vision, MLOps Knowledge of AWS/Azure/GCP, CI/CD, and Agile development More ❯
standard 2D videos into compelling 3D (stereoscopic or depth-based) formats using advanced AI techniques. The goal is to research, design, and implement deep learning models capable of understanding scene geometry, motion, and temporal consistency directly from monocular video input to generate high-quality 3D output automatically. This research … of-the-art methods in monocular depth estimation, novel view synthesis, video understanding, and 2D-to-3D conversion. Design, implement, and experiment with deep learning architectures (e.g., Transformers, CNNs, GANs, Diffusion Models) for the 2D-to-3D conversion task. Focus on key challenges such as temporal consistency, handling complex … Strong analytical, problem-solving, and research skills. Excellent communication and collaboration abilities. Preferred Qualifications: Track record of relevant publications in top-tier CV/ML conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML, SIGGRAPH). Experience specifically with monocular depth estimation, stereoscopic vision, view synthesis, video generation, or 3D reconstruction. Familiarity More ❯
standard 2D videos into compelling 3D (stereoscopic or depth-based) formats using advanced AI techniques. The goal is to research, design, and implement deep learning models capable of understanding scene geometry, motion, and temporal consistency directly from monocular video input to generate high-quality 3D output automatically. This research … of-the-art methods in monocular depth estimation, novel view synthesis, video understanding, and 2D-to-3D conversion. Design, implement, and experiment with deep learning architectures (e.g., Transformers, CNNs, GANs, Diffusion Models) for the 2D-to-3D conversion task. Focus on key challenges such as temporal consistency, handling complex … Strong analytical, problem-solving, and research skills. Excellent communication and collaboration abilities. Preferred Qualifications: Track record of relevant publications in top-tier CV/ML conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML, SIGGRAPH). Experience specifically with monocular depth estimation, stereoscopic vision, view synthesis, video generation, or 3D reconstruction. Familiarity More ❯
have a startup-like culture nurtured by sports and social clubs, being a safe place to fail, meaning and self-fulfilment over business, and learning from our partners, suppliers, and peers. We fully embrace DevOps ways of working in our teams, and build a very broad range of capabilities … s challenges! It would be great if you also had experience in some of these, but if not we'll help you with them: MachineLearning software e.g. Amazon and Azure machinelearning, or Google's TensorFlow Deploying and managing in Cloud Computing such as AWS More ❯
Postdoctoral Research Associate in MachineLearning - Durham The RoleThe successful applicant will be responsible for the design, development, and implementation of deep learning and computer vision frameworks across a range of research projects. This includes developing and training deep learning models for tasks such as scene … with our European partners is anticipated, and the successful candidate will be encouraged to adopt a creative approach to problem-solving, exploring various deep learning techniques. Verification of these models and algorithms will be conducted using benchmark datasets and real-world tests in diverse aquatic environments, necessitating a willingness More ❯
sets, including data mining, predictive analytics, and data visualization. 2. *Statistical Modeling*: Develop and maintain statistical models, including regression analysis, time series analysis, and machinelearning algorithms. 3. *Data Visualization*: Create data visualizations, including reports, dashboards, and interactive visualizations. 4. *STTM*: Develop and maintain STTM solutions, including data … including data mining, predictive analytics, and data visualization. 3. *Statistical Modeling Knowledge*: Strong understanding of statistical modeling, including regression analysis, time series analysis, and machinelearning algorithms. 4. *Data Visualization Knowledge*: Strong understanding of data visualization, including reports, dashboards, and interactive visualizations. 5. *Programming Skills*: Proficiency in programming More ❯
sets, including data mining, predictive analytics, and data visualization. 2. *Statistical Modeling*: Develop and maintain statistical models, including regression analysis, time series analysis, and machinelearning algorithms. 3. *Data Visualization*: Create data visualizations, including reports, dashboards, and interactive visualizations. 4. *STTM*: Develop and maintain STTM solutions, including data … including data mining, predictive analytics, and data visualization. 3. *Statistical Modeling Knowledge*: Strong understanding of statistical modeling, including regression analysis, time series analysis, and machinelearning algorithms. 4. *Data Visualization Knowledge*: Strong understanding of data visualization, including reports, dashboards, and interactive visualizations. 5. *Programming Skills*: Proficiency in programming More ❯
related issues Work closely with product and engineering teams to ensure alignment with business and production goals Stay informed about the latest advancements in machinelearning, ASR, TTS, and LLM to continuously enhance our technologies Requirements : A degree in Computer Science, MachineLearning, or a related … field, or equivalent industry experience 3+ years of experience working with deep learning and statistical models Strong … knowledge of data quality standards and annotation processes, with the ability to independently evaluate and improve models Proficiency in Python and familiarity with relevant ML frameworks and libraries (e.g., PyTorch) Experience with cloud services such as AWS, GCP, or Azure Excellent verbal and written communication skills, with the ability to More ❯
front-end development with a focus on building data-driven applications. Experience working with ETL platforms Experience with Python and its numerical, data and machinelearning libraries Experience of working in an agile software development environment Experience estimating task effort and identifying dependencies Excellent communication skills Experience with … Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machinelearning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire More ❯
Head of AI Strategy. What Makes You a Qualified Candidate Non-negotiable qualifications: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, MachineLearning, or a related field. Proven experience in developing AI solutions and software applications. A proven ability to establish credibility with advanced AI … leaders. Strong programming skills in languages such as Python, Java, or C++. Experience with AI and machinelearning frameworks such as TensorFlow, PyTorch, or scikit-learn. What You'll Bring Preferred qualifications: Experience with cloud platforms such as AWS, Azure, or Google Cloud. Familiarity with data visualization tools More ❯
in customer experience (if available). Build and evaluate Generative AI solutions and Large Language Models (LLMs) for various use cases. Develop and implement machinelearning models, including predictive, forecasting, classification, and deep learning models. Experience in working with various data sets, including transactional/EPOS, digital … social, loyalty etc. Hands-on experience in using programming languages such as Python. Knowledge of cloud platforms and tools for data science and machine learning. Utilize visualization tools such as Power BI or Tableau to present data insights effectively. Collaborate with cross-functional … teams to understand business challenges and create valuable products/solutions. Proven project management experience, including planning, execution, and successful delivery of AI/ML POCs, MVPs and production grade solutions. People management skills, including mentoring, guiding, and developing team members. It Would Be a Bonus If You Have Experience More ❯
on customer experience (if available). Build and evaluate Generative AI solutions and Large Language Models (LLMs) for various use cases. Develop and implement machinelearning models, including predictive, forecasting, classification, and deep learning models. Experience in working with various data sets, including transactional/EPOS, digital … social, loyalty, etc. Hands-on experience in using programming languages such as Python. Knowledge of cloud platforms and tools for data science and machine learning. Utilize visualization tools such as Power BI or Tableau to present data insights effectively. Collaborate with cross-functional … teams to understand business challenges and create valuable products/solutions. Proven project management experience, including planning, execution, and successful delivery of AI/ML POCs, MVPs, and production-grade solutions. People management skills, including mentoring, guiding, and developing team members. It Would Be a Bonus If You Have Experience More ❯
opportunity to work with large-scale visual and textual data sets to build impactful user-facing products and features utilizing the latest LLMs and ML models. You will also be responsible for the productionization and deployment building data pipelines or ETLs to create new online and offline data products. Join … us in leveraging machinelearning across Yelp to create visual, textual, and multi-modal models to offer new … products based on our unique content. If you are enthusiastic about learning, eager to take on new challenges, and passionate about creating new ML products, we want you on our team! This opportunity requires you to be located in the United Kingdom. We'd love to have you apply More ❯