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to explore our open positions and join our growing global team. The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Group Corporation. Senior Machine Learning Engineer, Recommendation System Do you want to join a Machine Learning team committed to personalizing the PlayStation experience for hundreds of millions of users? We deliver impactful ML … models and systems that serve an increasingly dynamic and personal experience! The Machine Learning Engineers within the DTIS group will deliver optimized interactions across PlayStation experiences and systems by designing, coding, training, deploying, and evaluating very large-scale machine learning systems. We are looking for someone who can build delightful products and experiences for millions, in an agile … you will be immersed in groundbreaking ML technologies, tools and processes, as you help to advance our technical objectives and architectural initiatives. You Will: Design and develop various machine learning and deep learning models and systems for high-impact consumer-facing applications such as content personalizations and product recommendations. Work with a broad spectrum of state-of More ❯

Description The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's data and analytics journey. As a part of CDAO, The Machine Learning Center of Excellence (MLCOE) partners across the firm to shape, create, and deploy Machine Learning Solutions for our most challenging business problems. This includes ensuring the quality, integrity, and … generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. As a Summer Associate within the MLCOE, you will apply sophisticated machine learning methods … to a diverse range of complex domains, including natural language processing, large language models, speech recognition and understanding, reinforcement learning, and recommendation systems. You will collaborate closely with MLCOE mentors, business experts, and technologists, conducting independent research and deploying solutions into production. A strong passion for machine learning, solid expertise in deep learning with hands-on More ❯

Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and … to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs … source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or More ❯

Foundations) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity … to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs … source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or More ❯

Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and … to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs … source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or More ❯

I Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity … to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs … source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or More ❯

Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and … to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs … source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or More ❯

Foundations) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity … to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs … source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or More ❯

I Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity … to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs … source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or More ❯

I Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity … to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs … source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or More ❯

Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and … to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs … source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or More ❯

Foundations) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity … to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs … source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or More ❯

Foundations) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity … to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs … source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or More ❯

Foundations) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity … to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs … source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or More ❯

I Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity … to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs … source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or More ❯

II Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity … to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs … source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or More ❯

you'll do Docusign is 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 the Docusign Agreement Cloud. Our … Our Agreement Cloud is a 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/DL methods and technologies that could … process as well as the product code and release management process will be essential Understand, assist and improve the existing training maintenance and enrichment process Work within the Machine Learning team to deploy models to production, using existing and emerging machine learning methods and technologies Work closely with Product Management to translate product requirements into robust, customer agnostic More ❯

savings and revenue growth. Under the guidance of experienced team members, you will participate in AI/ML projects across various domains, gaining hands-on experience in areas like deep learning, time series forecasting, reinforcement learning, optimization, speech and conversational AI, and Graph AI. You will also have the opportunity to support initiatives related to foundational AI … your experience, providing exposure to both technical and business aspects of AI/ML initiatives. Key Responsibilities: Assist in the development and testing of AI/ML models, including deep learning (RNN, CNN, embeddings, transformer/LLM), time series forecasting, reinforcement learning, optimization, and conversational AI. Develop robust, well-structured, and testable code to enable a seamless … in Computer Science, Engineering, Data Science, or a related field. Coursework or project experience in AI/ML, including exposure to at least one of the following areas: machine learning and deep learning, time series forecasting, reinforcement learning, optimization, or conversational AI. Familiarity with Python or similar programming languages and common toolkits and AI/ML More ❯

Key Responsibilities: Model Development & Deployment: Design, develop, and deploy machine learning models to solve business problems.Data Preprocessing: Gather, clean, and preprocess data for model training and evaluation.Algorithm Selection: Choose and implement appropriate machine learning algorithms (supervised, unsupervised, deep learning, reinforcement learning, etc based on the problem and dataset.Performance Evaluation: Evaluate and optimize the performance of … machine learning models using appropriate metrics (accuracy, precision, recall, F1 score, etc.Collaboration: Work closely with data engineers, software developers, and business stakeholders to understand requirements and deliver scalable solutions. Skills & Qualifications: Experience: At least 2-3 years of experience in machine learning and data science roles.Programming Languages: Proficiency in Python, R, or other programming languages commonly used in … as TensorFlow, PyTorch, scikit-learn, etc.Tools: Experience with data processing and manipulation tools (SQL, Pandas, Numpy), cloud platforms (AWS, Azure, GCP), and version control systems (GitDesirable Skills: Knowledge of deep learning, NLP, computer vision, or reinforcement learning.Experience in deploying machine learning models in production environments.Familiarity with data visualization tools (Matplotlib, Seaborn, Tableau Equal Opportunity Employer We are More ❯

book their journeys. As part of Expedia Product & Technology, we build intelligent systems that power search and ranking experiences across our global platform. We are now seeking a Machine Learning Scientist III to help shape the future of travel search by applying cutting-edge machine learning techniques, including Large Language Models (LLMs) and Generative AI, to solve complex … deploy, and iterate on ML models in production with measurable impact, validated by robust experimentation (A/B tests and online metrics). Combine state-of-the-art ML (deep learning, representation learning) with proven approaches (learning to rank, collaborative filtering). Collaborate cross-functionally with engineers, data analysts, and product partners to deliver robust, scalable … abreast of advances in ML, GenAI, and academic research to infuse innovation. Technologies and tools you will use and own: PyTorch & TensorFlow: for large-scale development and training of deep learning models. Spark/Distributed Systems: for large data processing and model training at scale. A/B Experimentation Platforms: design, monitor, and analyze online experiments. Cloud ML More ❯

Top Secret/SCI Job Overview: We are seeking a highly experienced Data Scientist (Subject Matter Expert) to lead complex, mission-critical projects that apply advanced data science, machine learning, and artificial intelligence techniques to address key intelligence and defense challenges. In this specialized role, you will provide technical leadership and strategic direction in data science and geospatial analytics … science and geospatial analytics, providing high-level guidance on complex technical problems related to the GEOINT mission. Lead the design and development of sophisticated data science models and machine learning algorithms to analyze large, multi-source geospatial data sets (e.g., satellite imagery, sensor data, geospatial databases). Apply deep knowledge of GEOINT, remote sensing, and spatial analysis to … develop and implement solutions that enhance data-driven decision-making capabilities. Provide strategic recommendations for leveraging new and emerging technologies, including machine learning, AI, and cloud platforms, to improve analytical workflows, efficiency, and mission outcomes. Mentor and train junior data scientists and analysts, ensuring the application of best practices in data science and the development of mission-relevant expertise. More ❯

of advanced AI models and algorithms for speech, audio, and generative AI applications. The Senior ML Research Engineer in Surrey, will be expected to expand their expertise in machine learning and audio/speech processing, learning from peers and senior engineers while applying best practices in research, software development, and deployment to mobile platforms. This may include implementing … and optimising deep learning models, designing evaluation pipelines, and working on generative AI technologies. Responsibilities include: Work with researchers and engineers to define AI model requirements and project specifications. Design, implement, and maintain machine learning models and algorithms, primarily for speech and audio applications. Develop and execute evaluation pipelines to test models on prototype and production systems. … MSc/PhD in Artificial Intelligence, Computer Science, Electrical Engineering, Mathematics, or related discipline. Professional experience with Python; C++, Java, or Kotlin is a plus. Strong expertise in machine learning and deep learning, including training, evaluation, and model deployment. Hands-on experience in audio/speech processing, including speech recognition, speech enhancement, audio analysis, TTS, and NLP. More ❯

provide consultation during sales calls, leverage expertise in AI; participate in sales meetings, enablement, and other events as subject matter expert for Redis Vector Similarity Search; design/develop deep learning algorithms, machine learning recommendation systems; perform data analyses/visualization (SQL, Pandas, Numpy, Scikit-Learn, MatplotLib); deploy machine learning algorithms (AWS), graph clustering algorithms (Python …/external CMS (Markdown READMEs); review academic research on AI using resources (ARVIX, Google Scholar) to adapt/apply new ideas to solve client problems; and support client technical deep dive session (AI, Redis libraries). This is a telecommuting position with remote benefit from various unanticipated locations throughout the U.S. Job Requirements: Masters degree or foreign equivalent in … Computer Science, Computer Engineering, or Mechanical Engineering plus 1 year experience. Experience to include designing/developing deep learning algorithms, machine learning recommendation systems; performing data analyses/visualization (SQL, Pandas, Numpy, Scikit-Learn, MatplotLib); deploying machine learning algorithms (AWS), graph clustering algorithms (Python, C++, Rust) using programming languages; and using software libraries/platforms, AWS More ❯

This temporary role requires an ML Quant Engineer with expertise within an Investment Bank. The position is based in London and involves developing and implementing machine learning models to support financial decision-making. Client Details The hiring organisation is a large entity within the financial services industry. Description Design and implement machine learning models for financial applications, with … a focus on derivatives pricing, risk analytics, and market forecasting. Build scalable ML pipelines to process large volumes of financial data efficiently. Develop deep learning architectures for time series prediction, anomaly detection, and pattern recognition in market data. Optimise model performance using techniques such as hyper-parameter tuning, ensemble methods, and neural architecture search. Collaborate with quantitative analysts … models with pricing methodologies and identify opportunities for innovation. Support the deployment of ML solutions into production systems for real-time risk management and pricing automation. Profile Advanced Machine Learning Expertise - Demonstrates deep understanding of ML algorithms (supervised, unsupervised, reinforcement learning) and has hands-on experience with deep learning architectures like RNNs, LSTMs, and Transformers. More ❯

ASAP | Outside IR35 To apply, email: THE OPPORTUNITY A new contract opportunity for an AI Engineer to join a cutting-edge AI Sports company revolutionising how data and machine learning drive athletic performance, fan engagement, and predictive analytics in the sports industry. You'll be part of a highly skilled R&D team building next-generation AI solutions for … real-world data into actionable insights. Optimise AI systems for real-time environments, integrating with live data feeds and cloud infrastructure. Research and prototype cutting-edge AI techniques (e.g., deep learning, reinforcement learning, generative models). Support continuous model improvement and scalable MLOps deployment pipelines. TECH STACK/REQUIREMENTS Core Skills: Python, TensorFlow/PyTorch, scikit-learn … Experience with wearable/sensor data, player tracking, or sports video analytics TO BE CONSIDERED Please apply directly by emailing with your CV and availability. KEYWORDS: AI Engineer, Machine Learning Engineer, Sports Analytics, Computer Vision, Deep Learning, Python, TensorFlow, PyTorch, MLOps, Data Science, Predictive Modelling, Sports Tech, AI in Sports More ❯