Optimove is a global marketing tech company, recognized as a Leader by Forrester and a Challenger by Gartner. We work with some of the world's most exciting brands, such as Sephora, Staples, and Entain, who love our thought-provoking combination of art and science. With a strong product, a proven business, and the DNA of a vibrant, fast-growing startup, we're on the cusp of our next growth spurt. It's the perfect time to join our team of 500 thinkers and doers across NYC, LDN, TLV, and other locations, where 2 of every 3 managers were promoted from within. Growing your career with Optimove is basically guaranteed. As a Machine Learning Engineer, you will be working within our Personalization team, helping to shape and drive the development of numerous products and initiatives that allow our customers to personalise messages across all digital touchpoints. This includes working with multi-modal data such as images, text, and more, leveraging cutting-edge technologies including Large Language Models (LLMs). This is an exciting opportunity at the forefront of machine learning, helping to bring Accessible Intelligence to our customers with great scope to make a key difference across both OptiX and Optimove's overall platforms. We are looking for an experienced Machine Learning Engineer to work on incredibly interesting projects as we take our personalization capabilities to the next level. You will focus on developing and advancing ML/AI across our platforms, researching and investigating new machine learning applications within the company, and improving pre-existing models. Role & Core Responsibilities Own the model development and release process across all products and internal platforms, including both OptiX and Optimove. Manage the cloud-hosted modelling environment. Operationalize models as APIs working in real-time and batch environments. Monitor production models, ensuring data quality and model performance. Develop predictive machine learning models for classification, ranking, and personalization purposes, utilizing multi-modal data including images and text. Leverage LLMs and other cutting-edge technologies to enhance product capabilities. Research and investigate new machine learning applications within the company, and improve on pre-existing models. Collaborate closely with product and development teams to define and prepare new ML applications. Analyse performance and continuously improve scoring processes for hosted models. Best Bits of the Job Exposure to a phenomenal array of machine learning domains, including massive-scale search, ranking, NLP, hybridization, classification, multi-modal data processing (images, text, etc.), and far beyond. Leveraging state-of-the-art technologies, including Large Language Models (LLMs), to enhance our products and services. Fully real-time architecture for data processing, model development, and deployment. Deploying and enhancing ML frameworks, optimizing for inference, and training/retraining cycles. Online testing for models with live data using proprietary A/B/N testing technology to rapidly determine what works (and what doesn't). A super-bright, supportive, and friendly machine learning team to work with in an environment where rapid experimentation is the norm. Regular time allocated to research new methods, build and test proofs-of-concept, and deploy to production instantly if effective. GPU support to efficiently train deep learning models. Minimum 3 years of experience in a similar role. Strong programming skills and a good understanding of software engineering principles and clean code practices. Expert-level knowledge of Python for machine learning and data manipulation (pandas, NumPy). Advanced experience with SQL for data querying and manipulation. Experience with Git, Bash, Docker, and machine learning pipelines. Experience with open-source machine learning libraries like scikit-learn, PyTorch, TensorFlow, and SciPy. Hands-on experience working with multi-modal data (images, text) and relevant ML techniques. Experience with cloud technologies and data storage solutions, including Snowflake. Understanding of personalization for various domains, including sports betting and gaming, where it might add value and what best practices look like. Full understanding of recommendation algorithms and their applications. Professional experience in personalization and/or predictive CRM, and micro-segmentation. Experience with CI/CD pipelines and Infrastructure as Code (IaC) tools (Terraform, Bicep, etc.). Apply for this job indicates a required field First Name Last Name Email Phone Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf LinkedIn Profile Website Do you have a work permit in the UK? Do you require a visa sponsorship in the UK? Select GDPR Disclosure Select Your personal data will be retained by Controller as long as Controller determines it is necessary to evaluate your application for employment. Under the GDPR, you have the right to request access to your personal data, to request that your personal data be rectified or erased, and to request that processing of your personal data be restricted. You also have to right to data portability. In addition, you may lodge a complaint with an EU supervisory authority.
Jun 18, 2025
Full time
Optimove is a global marketing tech company, recognized as a Leader by Forrester and a Challenger by Gartner. We work with some of the world's most exciting brands, such as Sephora, Staples, and Entain, who love our thought-provoking combination of art and science. With a strong product, a proven business, and the DNA of a vibrant, fast-growing startup, we're on the cusp of our next growth spurt. It's the perfect time to join our team of 500 thinkers and doers across NYC, LDN, TLV, and other locations, where 2 of every 3 managers were promoted from within. Growing your career with Optimove is basically guaranteed. As a Machine Learning Engineer, you will be working within our Personalization team, helping to shape and drive the development of numerous products and initiatives that allow our customers to personalise messages across all digital touchpoints. This includes working with multi-modal data such as images, text, and more, leveraging cutting-edge technologies including Large Language Models (LLMs). This is an exciting opportunity at the forefront of machine learning, helping to bring Accessible Intelligence to our customers with great scope to make a key difference across both OptiX and Optimove's overall platforms. We are looking for an experienced Machine Learning Engineer to work on incredibly interesting projects as we take our personalization capabilities to the next level. You will focus on developing and advancing ML/AI across our platforms, researching and investigating new machine learning applications within the company, and improving pre-existing models. Role & Core Responsibilities Own the model development and release process across all products and internal platforms, including both OptiX and Optimove. Manage the cloud-hosted modelling environment. Operationalize models as APIs working in real-time and batch environments. Monitor production models, ensuring data quality and model performance. Develop predictive machine learning models for classification, ranking, and personalization purposes, utilizing multi-modal data including images and text. Leverage LLMs and other cutting-edge technologies to enhance product capabilities. Research and investigate new machine learning applications within the company, and improve on pre-existing models. Collaborate closely with product and development teams to define and prepare new ML applications. Analyse performance and continuously improve scoring processes for hosted models. Best Bits of the Job Exposure to a phenomenal array of machine learning domains, including massive-scale search, ranking, NLP, hybridization, classification, multi-modal data processing (images, text, etc.), and far beyond. Leveraging state-of-the-art technologies, including Large Language Models (LLMs), to enhance our products and services. Fully real-time architecture for data processing, model development, and deployment. Deploying and enhancing ML frameworks, optimizing for inference, and training/retraining cycles. Online testing for models with live data using proprietary A/B/N testing technology to rapidly determine what works (and what doesn't). A super-bright, supportive, and friendly machine learning team to work with in an environment where rapid experimentation is the norm. Regular time allocated to research new methods, build and test proofs-of-concept, and deploy to production instantly if effective. GPU support to efficiently train deep learning models. Minimum 3 years of experience in a similar role. Strong programming skills and a good understanding of software engineering principles and clean code practices. Expert-level knowledge of Python for machine learning and data manipulation (pandas, NumPy). Advanced experience with SQL for data querying and manipulation. Experience with Git, Bash, Docker, and machine learning pipelines. Experience with open-source machine learning libraries like scikit-learn, PyTorch, TensorFlow, and SciPy. Hands-on experience working with multi-modal data (images, text) and relevant ML techniques. Experience with cloud technologies and data storage solutions, including Snowflake. Understanding of personalization for various domains, including sports betting and gaming, where it might add value and what best practices look like. Full understanding of recommendation algorithms and their applications. Professional experience in personalization and/or predictive CRM, and micro-segmentation. Experience with CI/CD pipelines and Infrastructure as Code (IaC) tools (Terraform, Bicep, etc.). Apply for this job indicates a required field First Name Last Name Email Phone Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf LinkedIn Profile Website Do you have a work permit in the UK? Do you require a visa sponsorship in the UK? Select GDPR Disclosure Select Your personal data will be retained by Controller as long as Controller determines it is necessary to evaluate your application for employment. Under the GDPR, you have the right to request access to your personal data, to request that your personal data be rectified or erased, and to request that processing of your personal data be restricted. You also have to right to data portability. In addition, you may lodge a complaint with an EU supervisory authority.
RBS (Retail Business Services) Tech team works towards enhancing the customer experience (CX) and their trust in product data by providing technologies to find and fix Amazon CX defects at scale. Our platforms help in improving the CX in all phases of customer journey, including selection, discoverability & fulfilment, buying experience and post-buying experience (product quality and customer returns). As a Sciences team in RBS Tech, we focus on foundational ML research and develop scalable state-of-the-art ML solutions to solve the problems covering customer experience (CX) and Selling partner experience (SPX). We work to solve problems related to multi-modal understanding (text and visual), supervised and unsupervised techniques, multi-task learning, multi-label classification, aspect and topic extraction for Customer Anecdote Mining, product similarity, using GenAI, LLMs, NLP and Computer Vision. Key job responsibilities As an Applied Science Manager, you will be responsible to design and deploy scalable GenAI, NLP and Computer Vision solutions that will impact the content visible to millions of customer and solve key customer experience issues. You will Lead scientists on the team and oversee research and development projects at various stages ranging from initial exploration to deployment into production systems. You will partner with business and engineering teams to identify and solve large and significantly complex problems that require scientific innovation. You will help the team leverage your expertise, by coaching and mentoring. You will contribute to the professional development of colleagues, improving their technical knowledge and the engineering practices. You will create the environment in the team to file for patents and/or publish research work where opportunities arise. You will impact the large product strategy, identifies new business opportunities and provides strategic direction to the team. BASIC QUALIFICATIONS - Master's degree in Computer Science, Statistics, Electrical Engineering, or Mathematics with specialization in specialization in Machine Learning, statistical modeling, or Deep learning. 5+ years of working experience in solving machine learning problems and deploying science solutions for large-scale applications 2+ years of experience leading a team of scientists and engineers Knowledge of programming languages such as C/C++, Python, Java Excellent written and verbal communication skills PREFERRED QUALIFICATIONS - Experience building machine learning models or developing algorithms for business application - Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability or other legally protected status.
Jun 18, 2025
Full time
RBS (Retail Business Services) Tech team works towards enhancing the customer experience (CX) and their trust in product data by providing technologies to find and fix Amazon CX defects at scale. Our platforms help in improving the CX in all phases of customer journey, including selection, discoverability & fulfilment, buying experience and post-buying experience (product quality and customer returns). As a Sciences team in RBS Tech, we focus on foundational ML research and develop scalable state-of-the-art ML solutions to solve the problems covering customer experience (CX) and Selling partner experience (SPX). We work to solve problems related to multi-modal understanding (text and visual), supervised and unsupervised techniques, multi-task learning, multi-label classification, aspect and topic extraction for Customer Anecdote Mining, product similarity, using GenAI, LLMs, NLP and Computer Vision. Key job responsibilities As an Applied Science Manager, you will be responsible to design and deploy scalable GenAI, NLP and Computer Vision solutions that will impact the content visible to millions of customer and solve key customer experience issues. You will Lead scientists on the team and oversee research and development projects at various stages ranging from initial exploration to deployment into production systems. You will partner with business and engineering teams to identify and solve large and significantly complex problems that require scientific innovation. You will help the team leverage your expertise, by coaching and mentoring. You will contribute to the professional development of colleagues, improving their technical knowledge and the engineering practices. You will create the environment in the team to file for patents and/or publish research work where opportunities arise. You will impact the large product strategy, identifies new business opportunities and provides strategic direction to the team. BASIC QUALIFICATIONS - Master's degree in Computer Science, Statistics, Electrical Engineering, or Mathematics with specialization in specialization in Machine Learning, statistical modeling, or Deep learning. 5+ years of working experience in solving machine learning problems and deploying science solutions for large-scale applications 2+ years of experience leading a team of scientists and engineers Knowledge of programming languages such as C/C++, Python, Java Excellent written and verbal communication skills PREFERRED QUALIFICATIONS - Experience building machine learning models or developing algorithms for business application - Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability or other legally protected status.
Applied Scientist (GenAI), OTS DataTech AI Job ID: Services LLC At OpsTech Solutions (OTS), we are a technology-centric services organization that designs, builds, and sustains the invisible, high-quality network, compute infrastructure, and device scaffolding that empowers and protects Amazon's global Operations. Our mission is to enable operational excellence through technology, ensuring Amazon's operations remain agile, scalable, and resilient. The OTS DataTech team is at the forefront of driving enterprise-wide data strategy and technological innovation across OTS. Our charter spans the development of AI/ML-driven capabilities that fuel automation, optimize efficiency, and unlock new potential across various OTS domains. We are seeking a highly skilled and passionate Applied Scientist with deep expertise in Generative AI (GenAI) to build state-of-the-art AI-driven solutions that enhance customer experience and streamline operations. As an Applied Scientist at OTS DataTech, you will play a pivotal role in shaping the vision, roadmap, design, research, development, and deployment of AI-powered solutions. You will focus on pioneering novel research in GenAI, designing intelligent, self-service systems that integrate state-of-the-art LLMs, multi-agent systems, and human-AI interaction frameworks. You will contribute to the advancement of responsible AI, addressing challenges in AI safety, robustness, explainability, and alignment as part of building next-generation AI systems for Amazon's global operations. This is an opportunity to drive foundational research and deliver applied innovation at scale. You will engage in collaborative exploration across disciplines, publish and present at internal and external forums, and contribute to an evolving ecosystem of intelligent automation that enhances productivity, and customer experience across OTS. You will also lead the design and implementation of robust, scalable automation systems that integrate seamlessly into Amazon's complex operational landscape. You will be closely partnering with a cross-functional team of stakeholders including Applied Scientists, Data Scientists, Data Engineers, Software Development Engineers, Product Managers, and Technical Program Managers on a daily basis. If you are passionate about pushing the boundaries of Generative AI and AI-driven automation, and if you thrive in an environment that values innovation, impact, and technical excellence, this is the right opportunity for you. Come join OTS DataTech as we continue to innovate and pioneer the AI/ML space within OTS! Key job responsibilities - Conduct applied research in LLMs and multi-agent systems, driving innovation from prototyping to production. - Develop and deploy state-of-the-art Generative AI models to solve complex problems in automation, optimization, and human-AI interaction. - Design intelligent AI agents capable of autonomous decision-making, task execution, and integration with enterprise systems. - Apply supervised, unsupervised, and reinforcement learning to improve model performance, personalization, and adaptability. - Lead experimentation and model evaluation to ensure robustness, safety, and real-world performance. - Design and implement scalable, reliable AI/ML solutions integrated into Amazon's operations. - Integrate AI capabilities seamlessly into OTS platforms, ensuring scalability, reliability, and real-world impact. - Collaborate cross-functionally with engineering, science, and product teams to ensure seamless integration of AI systems. - Contribute to Amazon's and external AI/ML community through knowledge sharing, publications, and technical leadership. A day in the life Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: - Medical, Dental, and Vision Coverage - Maternity and Parental Leave Options - Paid Time Off (PTO) - 401(k) Plan If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you're passionate about this role and want to make an impact on a global scale, please apply! BASIC QUALIFICATIONS - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - 2+ years of building machine learning models or developing algorithms for business application experience - Experience programming in Java, C++, Python or related language - Experience applying theoretical models in an applied environment - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience in professional software development - Strong background in machine learning, including supervised and unsupervised learning algorithms. - Experience developing, building and implementing complex software systems, especially involving ML, that have been successfully delivered to customers. - Knowledge of Generative AI (GenAI) and its applications. PREFERRED QUALIFICATIONS - Experience with fine-tuning and deploying Large Language Models (LLMs) for customer facing applications. - Knowledge of RAG and its applications. - Experience with AWS technologies. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site. Posted: May 21, 2025 (Updated 2 days ago) Posted: June 13, 2025 (Updated 2 days ago) Posted: May 20, 2025 (Updated 2 days ago) Posted: June 13, 2025 (Updated 2 days ago) Posted: May 27, 2025 (Updated 2 days ago) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Jun 18, 2025
Full time
Applied Scientist (GenAI), OTS DataTech AI Job ID: Services LLC At OpsTech Solutions (OTS), we are a technology-centric services organization that designs, builds, and sustains the invisible, high-quality network, compute infrastructure, and device scaffolding that empowers and protects Amazon's global Operations. Our mission is to enable operational excellence through technology, ensuring Amazon's operations remain agile, scalable, and resilient. The OTS DataTech team is at the forefront of driving enterprise-wide data strategy and technological innovation across OTS. Our charter spans the development of AI/ML-driven capabilities that fuel automation, optimize efficiency, and unlock new potential across various OTS domains. We are seeking a highly skilled and passionate Applied Scientist with deep expertise in Generative AI (GenAI) to build state-of-the-art AI-driven solutions that enhance customer experience and streamline operations. As an Applied Scientist at OTS DataTech, you will play a pivotal role in shaping the vision, roadmap, design, research, development, and deployment of AI-powered solutions. You will focus on pioneering novel research in GenAI, designing intelligent, self-service systems that integrate state-of-the-art LLMs, multi-agent systems, and human-AI interaction frameworks. You will contribute to the advancement of responsible AI, addressing challenges in AI safety, robustness, explainability, and alignment as part of building next-generation AI systems for Amazon's global operations. This is an opportunity to drive foundational research and deliver applied innovation at scale. You will engage in collaborative exploration across disciplines, publish and present at internal and external forums, and contribute to an evolving ecosystem of intelligent automation that enhances productivity, and customer experience across OTS. You will also lead the design and implementation of robust, scalable automation systems that integrate seamlessly into Amazon's complex operational landscape. You will be closely partnering with a cross-functional team of stakeholders including Applied Scientists, Data Scientists, Data Engineers, Software Development Engineers, Product Managers, and Technical Program Managers on a daily basis. If you are passionate about pushing the boundaries of Generative AI and AI-driven automation, and if you thrive in an environment that values innovation, impact, and technical excellence, this is the right opportunity for you. Come join OTS DataTech as we continue to innovate and pioneer the AI/ML space within OTS! Key job responsibilities - Conduct applied research in LLMs and multi-agent systems, driving innovation from prototyping to production. - Develop and deploy state-of-the-art Generative AI models to solve complex problems in automation, optimization, and human-AI interaction. - Design intelligent AI agents capable of autonomous decision-making, task execution, and integration with enterprise systems. - Apply supervised, unsupervised, and reinforcement learning to improve model performance, personalization, and adaptability. - Lead experimentation and model evaluation to ensure robustness, safety, and real-world performance. - Design and implement scalable, reliable AI/ML solutions integrated into Amazon's operations. - Integrate AI capabilities seamlessly into OTS platforms, ensuring scalability, reliability, and real-world impact. - Collaborate cross-functionally with engineering, science, and product teams to ensure seamless integration of AI systems. - Contribute to Amazon's and external AI/ML community through knowledge sharing, publications, and technical leadership. A day in the life Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: - Medical, Dental, and Vision Coverage - Maternity and Parental Leave Options - Paid Time Off (PTO) - 401(k) Plan If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you're passionate about this role and want to make an impact on a global scale, please apply! BASIC QUALIFICATIONS - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - 2+ years of building machine learning models or developing algorithms for business application experience - Experience programming in Java, C++, Python or related language - Experience applying theoretical models in an applied environment - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience in professional software development - Strong background in machine learning, including supervised and unsupervised learning algorithms. - Experience developing, building and implementing complex software systems, especially involving ML, that have been successfully delivered to customers. - Knowledge of Generative AI (GenAI) and its applications. PREFERRED QUALIFICATIONS - Experience with fine-tuning and deploying Large Language Models (LLMs) for customer facing applications. - Knowledge of RAG and its applications. - Experience with AWS technologies. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site. Posted: May 21, 2025 (Updated 2 days ago) Posted: June 13, 2025 (Updated 2 days ago) Posted: May 20, 2025 (Updated 2 days ago) Posted: June 13, 2025 (Updated 2 days ago) Posted: May 27, 2025 (Updated 2 days ago) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
We are partnering with a prestigious investment bank to find a highly skilled and Hands-on Machine Learning Operations (MLOps) Lead. This role will be pivotal in building out a greenfield framework for the deployment and management of scalable AI/ML solutions, specifically for the front and Middle Office user base. The role is to define and set up a greenfield standardized MLOps framework for capital markets and set up all the tools and best practices to educate data scientists and equip them with the right tools and expertise. You MUST be hands on. A strong understanding of Devops, Machine learning and Data engineering is required to enable to right candidate to implement the MLOps processes. This team are a specialist team and this role in particular is a key position. Once the framework is established , you will become the gatekeeper to lots of other divisions within the bank, who will leverage your knowledge and expertise. As such, you will gain exposure to lots of different business areas and business stakeholders, so relationship building and good communication will be key. You will bring a expertise in data science or data engineering, with a specific focus on MLOps for at least 2 years . This platform is critical and will be rolled out across the bank, so we are looking for only the highest calibre candidates with experience building and being responsible for greenfield MLOps pipelines that handle very large datasets. You will be responsible for building out a greenfield standaridised framework for Capital markets. The core platform is built on Azure Databricks Lakehouse, consolidating data from various front and Middle Office systems to support BI, MI, and advanced AI/ML analytics. As a lead, you will shape the MLOps framework and establish best practices for deploying and managing AI/ML solutions for a diverse and dynamic user base, including data scientists, quants, risk managers, traders, and other tech-savvy users. Core Responsibilities: Lead the development of AI/ML CI/CD pipelines and frameworks for supporting AI/ML and Data Science solutions on Azure Databricks. Define and implement best practices for DataOps, DevOps, ModelOps, and LLMOps to standardize and accelerate the AI/ML life cycle. Collaborate with Data Scientists and teams across Front Office Quant teams, Sales/Trading desks to build, monitor, and maintain AI/ML solutions. Adopt cutting-edge advancements in GenAI and LLM technologies to keep the platform at the forefront of innovation. Align with the bank's central Enterprise Advanced Analytics & Artificial Intelligence group to ensure alignment with organizational goals, strategies, and governance. Manage large datasets and support data preparation, integration, and analytics across various data sources (orders, quotes, trades, risk, etc.). Essential Requirements: 2+ years of experience in MLOps and at least 3 years in AI/ML engineering. Knowledge in Azure Databricks and associated services. Proficiency with ML frameworks and libraries in Python. Proven experience deploying and maintaining LLM services and solutions. Expertise in Azure DevOps and GitHub Actions. Familiarity with Databricks CLI and Databricks Job Bundle. Strong programming skills in Python and SQL; familiarity with Scala is a plus. Solid understanding of AI/ML algorithms, model training, evaluation (including hyperparameter tuning), deployment, monitoring, and governance. Experience in handling large datasets and performing data preparation and integration. Experience with Agile methodologies and SDLC practices. Strong problem-solving, analytical, and communication skills. Why Join Us? Work on a greenfield project with a major global investment bank. Gain deep expertise in MLOps, Azure Databricks, GenAI, and LLM technologies. Play a key role in building scalable AI/ML solutions across Capital Markets. Remote work flexibility with a competitive day rate. If you are a talented MLOps professional with the expertise to help build and scale advanced AI/ML solutions in the investment banking space, we'd love to hear from you. Apply now! How to Apply: If you meet the qualifications and are excited about this opportunity, please submit your CV. We look forward to hearing from you! Job Title: Machine Learning Operations Lead- Investment Banking Location: Remote (London City- UK based) Very flexible working arrangements Rate: Up to £850 per day (Outside IR35) or Salary package upto £200k Job Type: 12-Month Contract (with extensions) Industry: Investment Banking/Finance Technology
Jun 18, 2025
Full time
We are partnering with a prestigious investment bank to find a highly skilled and Hands-on Machine Learning Operations (MLOps) Lead. This role will be pivotal in building out a greenfield framework for the deployment and management of scalable AI/ML solutions, specifically for the front and Middle Office user base. The role is to define and set up a greenfield standardized MLOps framework for capital markets and set up all the tools and best practices to educate data scientists and equip them with the right tools and expertise. You MUST be hands on. A strong understanding of Devops, Machine learning and Data engineering is required to enable to right candidate to implement the MLOps processes. This team are a specialist team and this role in particular is a key position. Once the framework is established , you will become the gatekeeper to lots of other divisions within the bank, who will leverage your knowledge and expertise. As such, you will gain exposure to lots of different business areas and business stakeholders, so relationship building and good communication will be key. You will bring a expertise in data science or data engineering, with a specific focus on MLOps for at least 2 years . This platform is critical and will be rolled out across the bank, so we are looking for only the highest calibre candidates with experience building and being responsible for greenfield MLOps pipelines that handle very large datasets. You will be responsible for building out a greenfield standaridised framework for Capital markets. The core platform is built on Azure Databricks Lakehouse, consolidating data from various front and Middle Office systems to support BI, MI, and advanced AI/ML analytics. As a lead, you will shape the MLOps framework and establish best practices for deploying and managing AI/ML solutions for a diverse and dynamic user base, including data scientists, quants, risk managers, traders, and other tech-savvy users. Core Responsibilities: Lead the development of AI/ML CI/CD pipelines and frameworks for supporting AI/ML and Data Science solutions on Azure Databricks. Define and implement best practices for DataOps, DevOps, ModelOps, and LLMOps to standardize and accelerate the AI/ML life cycle. Collaborate with Data Scientists and teams across Front Office Quant teams, Sales/Trading desks to build, monitor, and maintain AI/ML solutions. Adopt cutting-edge advancements in GenAI and LLM technologies to keep the platform at the forefront of innovation. Align with the bank's central Enterprise Advanced Analytics & Artificial Intelligence group to ensure alignment with organizational goals, strategies, and governance. Manage large datasets and support data preparation, integration, and analytics across various data sources (orders, quotes, trades, risk, etc.). Essential Requirements: 2+ years of experience in MLOps and at least 3 years in AI/ML engineering. Knowledge in Azure Databricks and associated services. Proficiency with ML frameworks and libraries in Python. Proven experience deploying and maintaining LLM services and solutions. Expertise in Azure DevOps and GitHub Actions. Familiarity with Databricks CLI and Databricks Job Bundle. Strong programming skills in Python and SQL; familiarity with Scala is a plus. Solid understanding of AI/ML algorithms, model training, evaluation (including hyperparameter tuning), deployment, monitoring, and governance. Experience in handling large datasets and performing data preparation and integration. Experience with Agile methodologies and SDLC practices. Strong problem-solving, analytical, and communication skills. Why Join Us? Work on a greenfield project with a major global investment bank. Gain deep expertise in MLOps, Azure Databricks, GenAI, and LLM technologies. Play a key role in building scalable AI/ML solutions across Capital Markets. Remote work flexibility with a competitive day rate. If you are a talented MLOps professional with the expertise to help build and scale advanced AI/ML solutions in the investment banking space, we'd love to hear from you. Apply now! How to Apply: If you meet the qualifications and are excited about this opportunity, please submit your CV. We look forward to hearing from you! Job Title: Machine Learning Operations Lead- Investment Banking Location: Remote (London City- UK based) Very flexible working arrangements Rate: Up to £850 per day (Outside IR35) or Salary package upto £200k Job Type: 12-Month Contract (with extensions) Industry: Investment Banking/Finance Technology
Director of Software Development, Amazon Shipping Amazon Shipping is our externalized business providing small parcel transportation services to sellers and shippers. Amazon Shipping leverages planning and transportation's foundational systems together with operations capabilities to pick up packages from shipper warehouses and inject them into the Amazon Fulfillment Network (AFN) outbound transportation network to provide an end-to-end parcel delivery product we can sell. Our vision is to become an end-to-end transportation network. We will empower businesses to focus more on their core business objectives, by abstracting network complexities and organizational structures. We will leverage 1p transportation network using simpler interfaces instead of having separate integrations with many internal services. The 1p transportation network will provide flexible shipping speeds, lower cost, high availability and agility to customize for business specific needs, to all the businesses that use the network. Amazon Shipping team is looking for Director of Software Development responsible for building process and technical capability to secure pickup vehicle capacity, route these vehicles to shipper warehouses, perform package pickup, receive and quality-check at Amazon facilities, then inject them into Amazon's transportation network to successfully deliver them to recipients, along with shipper tools to manage exceptions, billing, claims and support. This requires building the capability to serve any shipper, regardless of its size or affiliation with Amazon, by offering a differentiated, tech-enabled shipping experience on the backbone of the Amazon fulfillment network. Amazon Shipping today serves hundreds of million packages and operating in 6 countries, with the plan to very quick scale to several billion packages. This leader will drive the following key customer outcomes for Amazon Shipping: Improve Promise Eligibility Improve Label Conversion Speed improvements Reduce First Mile pickup cost Reduce missed pickups and late pickups Reduce claims This role will manage Amazon Shipping teams and charter based out of India. We expect the size of this team to be 130 + FTEs spread across SDMs, SDEs, TPMs, Applied and Research Scientists, Business Intelligence Engineers (BIE), Programmer Analyst and Program Manager. This leader will recruit and develop high-caliber leaders and individuals. This role represents significant intellectual, technical and innovation challenges with large opportunity for business impact. Key job responsibilities Fulfilment: Speed, Promise, Label Purchase and API integration Demand Forecasting First Mile experience Claims, Billing and Payments Quality Assurance Science charter A day in the life You will be expected to wear multiple hats, ruthlessly prioritizing your and your organization's time. You will lead and participate in strategy and roadmap discussions with executives and establish mechanisms to audit and support your teams in innovating and delivering results. You will be equally comfortable writing and discussing narrative documents to VP/SVPs as discussing the details of a particular API implementation with a software developer. You will work across organizations and disciplines (e.g. Product, Program, Science, Design and Engineering) to identify capabilities, influence design, architecture and development of shared services and orchestrate solutions. You will influence the three-year architectural plan and drive tradeoff decisions balancing long term vision with delivering immediate impact to our customers. You will seek to deeply understand and step-change improve the customer experience using data and anecdotes. You will look around corners to proactively mitigate obstacles and get ahead of industry trends. BASIC QUALIFICATIONS Bachelor's degree in Computer science or related field. 15+ years of software engineering experience. 8+ years of demonstrated experience managing senior engineering managers. Understanding of software engineering practices & best practices for the full software development life cycle including coding standards, build processes, testing, and operations. Background in AI, machine learning, natural language processing, and related disciplines PREFERRED QUALIFICATIONS Master's degree in Computer Science or related field. Demonstrated experience leading product and development teams, with a focus on customer service or user-facing technologies Experience in a lead role in bringing a product to market. Proven track record of taking emerging technologies from research to production-ready solutions Experience deploying and optimizing self-service portals, knowledge bases, chatbots, and other AI-powered customer service tools Familiarity with generative AI models and applications in customer interactions, and process automation Excellent communication and stakeholder management skills Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit this link for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Jun 18, 2025
Full time
Director of Software Development, Amazon Shipping Amazon Shipping is our externalized business providing small parcel transportation services to sellers and shippers. Amazon Shipping leverages planning and transportation's foundational systems together with operations capabilities to pick up packages from shipper warehouses and inject them into the Amazon Fulfillment Network (AFN) outbound transportation network to provide an end-to-end parcel delivery product we can sell. Our vision is to become an end-to-end transportation network. We will empower businesses to focus more on their core business objectives, by abstracting network complexities and organizational structures. We will leverage 1p transportation network using simpler interfaces instead of having separate integrations with many internal services. The 1p transportation network will provide flexible shipping speeds, lower cost, high availability and agility to customize for business specific needs, to all the businesses that use the network. Amazon Shipping team is looking for Director of Software Development responsible for building process and technical capability to secure pickup vehicle capacity, route these vehicles to shipper warehouses, perform package pickup, receive and quality-check at Amazon facilities, then inject them into Amazon's transportation network to successfully deliver them to recipients, along with shipper tools to manage exceptions, billing, claims and support. This requires building the capability to serve any shipper, regardless of its size or affiliation with Amazon, by offering a differentiated, tech-enabled shipping experience on the backbone of the Amazon fulfillment network. Amazon Shipping today serves hundreds of million packages and operating in 6 countries, with the plan to very quick scale to several billion packages. This leader will drive the following key customer outcomes for Amazon Shipping: Improve Promise Eligibility Improve Label Conversion Speed improvements Reduce First Mile pickup cost Reduce missed pickups and late pickups Reduce claims This role will manage Amazon Shipping teams and charter based out of India. We expect the size of this team to be 130 + FTEs spread across SDMs, SDEs, TPMs, Applied and Research Scientists, Business Intelligence Engineers (BIE), Programmer Analyst and Program Manager. This leader will recruit and develop high-caliber leaders and individuals. This role represents significant intellectual, technical and innovation challenges with large opportunity for business impact. Key job responsibilities Fulfilment: Speed, Promise, Label Purchase and API integration Demand Forecasting First Mile experience Claims, Billing and Payments Quality Assurance Science charter A day in the life You will be expected to wear multiple hats, ruthlessly prioritizing your and your organization's time. You will lead and participate in strategy and roadmap discussions with executives and establish mechanisms to audit and support your teams in innovating and delivering results. You will be equally comfortable writing and discussing narrative documents to VP/SVPs as discussing the details of a particular API implementation with a software developer. You will work across organizations and disciplines (e.g. Product, Program, Science, Design and Engineering) to identify capabilities, influence design, architecture and development of shared services and orchestrate solutions. You will influence the three-year architectural plan and drive tradeoff decisions balancing long term vision with delivering immediate impact to our customers. You will seek to deeply understand and step-change improve the customer experience using data and anecdotes. You will look around corners to proactively mitigate obstacles and get ahead of industry trends. BASIC QUALIFICATIONS Bachelor's degree in Computer science or related field. 15+ years of software engineering experience. 8+ years of demonstrated experience managing senior engineering managers. Understanding of software engineering practices & best practices for the full software development life cycle including coding standards, build processes, testing, and operations. Background in AI, machine learning, natural language processing, and related disciplines PREFERRED QUALIFICATIONS Master's degree in Computer Science or related field. Demonstrated experience leading product and development teams, with a focus on customer service or user-facing technologies Experience in a lead role in bringing a product to market. Proven track record of taking emerging technologies from research to production-ready solutions Experience deploying and optimizing self-service portals, knowledge bases, chatbots, and other AI-powered customer service tools Familiarity with generative AI models and applications in customer interactions, and process automation Excellent communication and stakeholder management skills Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit this link for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Machine Learning & AI Engineering Lead London (Hybrid) Join Mars on a mission to use data and AI to shape a better world-for people and pets alike. We're looking for a " Machine Learning & AI Engineering Lead" to help power Royal Canin's efforts towards a product lead organisation. You'll play a pivotal role in building scalable AI and ML solutions that unlock innovation across our global business. Why this role matters: At Royal Canin, we believe in health through nutrition for pets. We leverage the power of technology, machine learning, and AI to fulfil our commitment to constantly optimize our processes and innovate our products, ensuring better nutrition for pets. By connecting Petcare data ecosystems, building generative AI tools, and automating insight delivery, we aim to enhance nutrition and care for millions of pets. This role is central to making that happen. What you'll do: Lead a team of engineers to design and deploy AI/ML and generative AI models Architect MLOps and LLMOps pipelines and coach our data science team on scalable, high-quality code Monitor model performance, define KPIs, and continuously improve solutions Collaborate with cross-functional squads to deliver technical products that create real value powered by ML and AI Stay sharp-bring in new thinking, tools, and ideas to drive our capability forward What you'll bring: 5-7 years in AI/ML roles (bonus if it's in CPG, retail, or health) Line management experience Passion for engineering & strong track record of delivering data-driven solutions that stick Hands-on experience with AzureML, Databricks, MLOps frameworks & CI/CD A strategic, problem-solving mindset and effective communication skills A passion for collaboration, coaching, and continuous learning What you'll get: Hybrid working + competitive salary + bonus Access to Mars University + best-in-class development support Work with 130,000 diverse Associates who live our Five Principles A purpose-led culture committed to inclusion, mutuality and making tomorrow better Disclaimer: Mars is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request Sound like your next move? Apply now or connect with us to learn more.
Jun 18, 2025
Full time
Machine Learning & AI Engineering Lead London (Hybrid) Join Mars on a mission to use data and AI to shape a better world-for people and pets alike. We're looking for a " Machine Learning & AI Engineering Lead" to help power Royal Canin's efforts towards a product lead organisation. You'll play a pivotal role in building scalable AI and ML solutions that unlock innovation across our global business. Why this role matters: At Royal Canin, we believe in health through nutrition for pets. We leverage the power of technology, machine learning, and AI to fulfil our commitment to constantly optimize our processes and innovate our products, ensuring better nutrition for pets. By connecting Petcare data ecosystems, building generative AI tools, and automating insight delivery, we aim to enhance nutrition and care for millions of pets. This role is central to making that happen. What you'll do: Lead a team of engineers to design and deploy AI/ML and generative AI models Architect MLOps and LLMOps pipelines and coach our data science team on scalable, high-quality code Monitor model performance, define KPIs, and continuously improve solutions Collaborate with cross-functional squads to deliver technical products that create real value powered by ML and AI Stay sharp-bring in new thinking, tools, and ideas to drive our capability forward What you'll bring: 5-7 years in AI/ML roles (bonus if it's in CPG, retail, or health) Line management experience Passion for engineering & strong track record of delivering data-driven solutions that stick Hands-on experience with AzureML, Databricks, MLOps frameworks & CI/CD A strategic, problem-solving mindset and effective communication skills A passion for collaboration, coaching, and continuous learning What you'll get: Hybrid working + competitive salary + bonus Access to Mars University + best-in-class development support Work with 130,000 diverse Associates who live our Five Principles A purpose-led culture committed to inclusion, mutuality and making tomorrow better Disclaimer: Mars is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request Sound like your next move? Apply now or connect with us to learn more.
BAE Systems Applied Intelligence
Chelmsford, Essex
Select how often (in days) to receive an alert: Create Alert BAE Systems Digital Intelligence is home to 4,500 digital, cyber and intelligence experts. We work collaboratively across 10 countries to collect, connect and understand complex data, so that governments, nation states, armed forces and commercial businesses can unlock digital advantage in the most demanding environments. BAE Systems Digital Intelligence Defence Innovation and Technology is seeking to recruit a team lead for our Knowledge and Semantics team. The Data and Decision Support Capability has a diverse range of teams working in: reinforcement learning, NLP, knowledge graphs, applications of LLMs, computer vision, AI for RF and EW, sonar and acoustics. You will have the opportunity to work with these colleagues in multi-disciplinary teams and to work on a wide range of data science topics for customers across the defence, security and commercial sectors as well as on internal BAE Systems AI programmes. You will also have the opportunity to maintain strong links with academic partners and SMEs as well as to grow technical research areas of interest to you. We are looking for candidates who are adaptable, enthusiastic and highly motivated. You will have experience of leading a team of researchers working in NLP, LLM applications, text-mining, knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of ML in these domains. You will have a proven record of successful proposal writing and delivery to funding bodies relevant to the Defence sector. You should have existing skills in Machine Learning (ML), will need to be a proficient programmer in Python, with extensive experience in the use of libraries and toolboxes to support efficient development. Candidates will also have the opportunity to mix technical challenges with customer-facing and project support tasks. In addition to a solid academic background and excellent written and verbal communication skills, we are interested in candidates with experience in NLP, text-mining, knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of ML in these domains. Typical Responsibilities: Propose and lead novel research in given topic areas, often in partnership with leading UK Universities. Lead technical delivery of project teams. Prepare and deliver technical reports, technical proposals and supporting material. Develop prototypes and proof of concept demonstrators. Take ownership of tasks in projects and deliver to challenging standards. Effectively present results to both technical and non-technical audiences. Communicate effectively with project stakeholders (external customers, internal BU leads, different engineering teams). Undertake mentoring and management of junior staff working in the Knowledge and Semantics Team. Knowledge, Skills and Experience: PhD qualifiedwith at least 4 years' experience post PhD, ideally working in the Defence or National Security sectors. You will have experience of leading R&D teams with a minimum of 5 developers. You will have a strong record of securing funding for and delivering innovative R&D into Defence and NS customers. Of particular interest are candidates with the following experience (evidenced by a track record of publications, industry experience, open-source available code or equivalent academic work): Predictive Graph Machine Learning, Causal Machine Learning or Neuro-Symbolic AI. Natural Language Processing, including Information extraction, text-mining and entity linking. Experience with modern (e.g. transformer-based) NLP models is desirable but not essential. Application of LLMs to Defence problems. The taxonomy of Graph Machine Learning tasks and experience in using graph ML in applied or foundational settings. Graph-structured data, designing and utilising relational and graph databases, and knowledge of graph algorithms. Familiarity with one or more query languages (e.g. SQL and Cypher) is desirable but not essential. Familiarity with knowledge representation, ontology design and semantic or LLM based reasoning is desirable but not essential. Essential: Experience with at least one ML framework: TensorFlow, Pytorch. Ability to work in a secure environment is essential. Desirable: Experience with one or more graph machine learning packages (PyTorch-Geometric, PyKeen etc.) and knowledge graph toolkits (Neo4j) Why BAE Systems? This is a place where you'll be able to make a real difference. You'll be part of an inclusive culture that values diversity of thought, rewards integrity, and merit, and where you'll be empowered to fulfil your potential. We welcome people from all backgrounds and want to make sure that our recruitment processes are as inclusive as possible. If you have a disability or health condition (for example dyslexia, autism, an anxiety disorder etc.) that may affect your performance in certain assessment types, please speak to your recruiter about potential reasonable adjustments. Please be aware that many roles at BAE Systems are subject to both security and export control restrictions. These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are eligible to perform within the organisation. All applicants must as a minimum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role, to allow for meaningful security vetting checks. We are embracing Hybrid Working. This means you and your colleagues may be working in different locations, such as from home, another BAE Systems office or client site, some or all of the time, and work might be going on at different times of the day. By embracing technology, we can interact, collaborate and create together, even when we're working remotely from one another. Hybrid Working allows for increased flexibility in when and where we work, helping us to balance our work and personal life more effectively, and enhance well-being. Diversity and inclusion are integral to the success of BAE Systems Digital Intelligence. We are proud to have an organisational culture where employees with varying perspectives, skills, life experiences and backgrounds - the best and brightest minds - can work together to achieve excellence and realise individual and organisational potential. Division overview: Capabilities At BAE Systems DigitalIntelligence, we pride ourselves in being a leader in the cyber defence industry, and Capabilities is the engine that keeps the business moving forward. It is the largest area of DigitalIntelligence, containing our Engineering, Consulting and Project Management teams that design and implement the defence solutions and digital transformation projects that make us a globally recognised brand in both the public and private sector. As a member of the Capabilities team, you will be creating and managing the solutions that earn us our place in an ever changing digital world. We all have a role to play in defending our clients, and this is yours. Job Title: Research Scientist - Knowledge & Semantics Job City: Great Baddow Professional Area: Data Analysis and Management
Jun 18, 2025
Full time
Select how often (in days) to receive an alert: Create Alert BAE Systems Digital Intelligence is home to 4,500 digital, cyber and intelligence experts. We work collaboratively across 10 countries to collect, connect and understand complex data, so that governments, nation states, armed forces and commercial businesses can unlock digital advantage in the most demanding environments. BAE Systems Digital Intelligence Defence Innovation and Technology is seeking to recruit a team lead for our Knowledge and Semantics team. The Data and Decision Support Capability has a diverse range of teams working in: reinforcement learning, NLP, knowledge graphs, applications of LLMs, computer vision, AI for RF and EW, sonar and acoustics. You will have the opportunity to work with these colleagues in multi-disciplinary teams and to work on a wide range of data science topics for customers across the defence, security and commercial sectors as well as on internal BAE Systems AI programmes. You will also have the opportunity to maintain strong links with academic partners and SMEs as well as to grow technical research areas of interest to you. We are looking for candidates who are adaptable, enthusiastic and highly motivated. You will have experience of leading a team of researchers working in NLP, LLM applications, text-mining, knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of ML in these domains. You will have a proven record of successful proposal writing and delivery to funding bodies relevant to the Defence sector. You should have existing skills in Machine Learning (ML), will need to be a proficient programmer in Python, with extensive experience in the use of libraries and toolboxes to support efficient development. Candidates will also have the opportunity to mix technical challenges with customer-facing and project support tasks. In addition to a solid academic background and excellent written and verbal communication skills, we are interested in candidates with experience in NLP, text-mining, knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of ML in these domains. Typical Responsibilities: Propose and lead novel research in given topic areas, often in partnership with leading UK Universities. Lead technical delivery of project teams. Prepare and deliver technical reports, technical proposals and supporting material. Develop prototypes and proof of concept demonstrators. Take ownership of tasks in projects and deliver to challenging standards. Effectively present results to both technical and non-technical audiences. Communicate effectively with project stakeholders (external customers, internal BU leads, different engineering teams). Undertake mentoring and management of junior staff working in the Knowledge and Semantics Team. Knowledge, Skills and Experience: PhD qualifiedwith at least 4 years' experience post PhD, ideally working in the Defence or National Security sectors. You will have experience of leading R&D teams with a minimum of 5 developers. You will have a strong record of securing funding for and delivering innovative R&D into Defence and NS customers. Of particular interest are candidates with the following experience (evidenced by a track record of publications, industry experience, open-source available code or equivalent academic work): Predictive Graph Machine Learning, Causal Machine Learning or Neuro-Symbolic AI. Natural Language Processing, including Information extraction, text-mining and entity linking. Experience with modern (e.g. transformer-based) NLP models is desirable but not essential. Application of LLMs to Defence problems. The taxonomy of Graph Machine Learning tasks and experience in using graph ML in applied or foundational settings. Graph-structured data, designing and utilising relational and graph databases, and knowledge of graph algorithms. Familiarity with one or more query languages (e.g. SQL and Cypher) is desirable but not essential. Familiarity with knowledge representation, ontology design and semantic or LLM based reasoning is desirable but not essential. Essential: Experience with at least one ML framework: TensorFlow, Pytorch. Ability to work in a secure environment is essential. Desirable: Experience with one or more graph machine learning packages (PyTorch-Geometric, PyKeen etc.) and knowledge graph toolkits (Neo4j) Why BAE Systems? This is a place where you'll be able to make a real difference. You'll be part of an inclusive culture that values diversity of thought, rewards integrity, and merit, and where you'll be empowered to fulfil your potential. We welcome people from all backgrounds and want to make sure that our recruitment processes are as inclusive as possible. If you have a disability or health condition (for example dyslexia, autism, an anxiety disorder etc.) that may affect your performance in certain assessment types, please speak to your recruiter about potential reasonable adjustments. Please be aware that many roles at BAE Systems are subject to both security and export control restrictions. These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are eligible to perform within the organisation. All applicants must as a minimum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role, to allow for meaningful security vetting checks. We are embracing Hybrid Working. This means you and your colleagues may be working in different locations, such as from home, another BAE Systems office or client site, some or all of the time, and work might be going on at different times of the day. By embracing technology, we can interact, collaborate and create together, even when we're working remotely from one another. Hybrid Working allows for increased flexibility in when and where we work, helping us to balance our work and personal life more effectively, and enhance well-being. Diversity and inclusion are integral to the success of BAE Systems Digital Intelligence. We are proud to have an organisational culture where employees with varying perspectives, skills, life experiences and backgrounds - the best and brightest minds - can work together to achieve excellence and realise individual and organisational potential. Division overview: Capabilities At BAE Systems DigitalIntelligence, we pride ourselves in being a leader in the cyber defence industry, and Capabilities is the engine that keeps the business moving forward. It is the largest area of DigitalIntelligence, containing our Engineering, Consulting and Project Management teams that design and implement the defence solutions and digital transformation projects that make us a globally recognised brand in both the public and private sector. As a member of the Capabilities team, you will be creating and managing the solutions that earn us our place in an ever changing digital world. We all have a role to play in defending our clients, and this is yours. Job Title: Research Scientist - Knowledge & Semantics Job City: Great Baddow Professional Area: Data Analysis and Management
Sr. Applied Scientist, Generative AI Innovation Center Job ID: Amazon Web Services Korea LLC Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. We're looking for Sr. Applied Scientists capable of using GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. Key job responsibilities As an Applied Scientist, you will • Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges • Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production • Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder • Provide customer and market feedback to product and engineering teams to help define product direction A day in the life This is a customer facing role. You will be required to travel to client locations and deliver professional services as needed. About the team Sales, Marketing and Global Services (SMGS) AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest-growing small- and mid-market accounts to enterprise-level customers, including the public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services. The Professional Services team is part of Global Services. AWS 영업, 마케팅 및 글로벌 서비스 (SMGS) 는 크고 빠르게 성장하는, 공공 부문에서 엔터프라이즈에 이르기까지 고객의 성장을 돕는 역할을 합니다. AWS 글로벌 지원 팀은 글로벌 기업과 교류하며 고객의 성공을 돕습니다. 또한 AWS Support는 AWS 서비스를 기반으로 미션 크리티컬 애플리케이션을 구축하는 전 세계 고객 목록과도 파트너 관계를 맺고 있습니다. 프로페셔널 서비스팀은 AWS 내 글로벌 서비스팀에 소속되어 있습니다. About AWS Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. 다양성 AWS는 다양한 경험을 중요하게 생각합니다. JD에 나와 있는 자격 및 기술을 모두 충족하지 못하더라도 지원자가 지원하도록 권장합니다. 경력을 이제 막 시작하였거나, 전통적인 경력을 쌓지 않았거나, 조금 다른 경험을 쌓았다고, 지원을 중단하실 필요는 없습니다. AWS를 선택해야 하는 이유 아마존 웹 서비스 (AWS) 는 세계에서 가장 포괄적이고 널리 채택된 클라우드 플랫폼입니다.우리는 클라우드 컴퓨팅 시장을 개척했으며 혁신을 멈추지 않았습니다. 이것이 바로 가장 성공적인 스타트업부터 Global 500 기업에 이르는 고객이 AWS의 제품 및 서비스 제품군을 신뢰하는 이유입니다. 일과 삶의 균형 우리는 일과 삶의 조화를 중요하게 생각합니다.직장에서의 성공을 위해 가정에서의 희생을 감수해서는 안 됩니다. 그렇기 때문에 유연한 근무 시간과 근무 방식이 우리 문화의 일부입니다.직장과 가정에서 지지받는다고 느낄 때 클라우드로는 달성할 수 없는 것이 없습니다. 포용적인 팀 문화 AWS에서는 배우고 호기심을 갖는 것이 우리의 본능입니다.직원이 주도하는 어피니티 그룹은 서로 다른 점을 자랑스럽게 여길 수 있는 포용의 문화를 조성합니다.인종 및 민족에 관한 대화 (CORE) 및 AmazeCon (성별 다양성) 컨퍼런스를 포함하여 진행 중인 이벤트와 학습 경험은 우리가 우리의 독창성을 받아들일 수 있도록 영감을 줍니다. 멘토십 및 경력 개발 우리는 세계 최고의 고용주가 되기 위해 노력하면서 지속적으로 성과 기준을 높이고 있습니다.그렇기 때문에 더 다재다능한 전문가로 발전하는 데 도움이 되는 지식 공유, 멘토십 및 기타 경력 개발 리소스를 찾을 수 있습니다. 일과 삶의 균형 우리는 일과 삶의 조화를 중요하게 생각합니다.직장에서의 성공을 위해 가정에서의 희생을 감수해서는 절대 안 됩니다. 이것이 바로 우리가 근무 문화의 일환으로 유연성을 추구하기 위해 노력하는 이유입니다.직장과 가정에서 지지받는다고 느낄 때 클라우드로는 달성할 수 없는 것이 없습니다. BASIC QUALIFICATIONS - PhD degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field plus 5 years of relevant experience, OR Masters degree plus 10 years of relevant work experience - 5+ years of hands on experience with Python to build, train, and evaluate models - experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing - experience with design, development, and optimization of generative AI solutions, algorithms, or technologies - Experience in patents or publications at top-tier peer-reviewed conferences or journals PREFERRED QUALIFICATIONS - Experience with the design, deployment, evaluation, and optimization of Large Language Model (LLM)-powered agents, tools, and orchestration approaches, including the development of high-quality prompts and templates to guide the behavior and responses of LLMs. - experience with open source frameworks for building applications powered by LLMs like LangChain, LlamaIndex, and/ or similar tools - Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker - Strong communication skills, with attention to detail and ability to convey rigorous technical concepts and considerations to non-experts - Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Posted: June 13, 2025 (Updated 3 days ago) Posted: May 19, 2025 (Updated 29 days ago) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Jun 17, 2025
Full time
Sr. Applied Scientist, Generative AI Innovation Center Job ID: Amazon Web Services Korea LLC Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. We're looking for Sr. Applied Scientists capable of using GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. Key job responsibilities As an Applied Scientist, you will • Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges • Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production • Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder • Provide customer and market feedback to product and engineering teams to help define product direction A day in the life This is a customer facing role. You will be required to travel to client locations and deliver professional services as needed. About the team Sales, Marketing and Global Services (SMGS) AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest-growing small- and mid-market accounts to enterprise-level customers, including the public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services. The Professional Services team is part of Global Services. AWS 영업, 마케팅 및 글로벌 서비스 (SMGS) 는 크고 빠르게 성장하는, 공공 부문에서 엔터프라이즈에 이르기까지 고객의 성장을 돕는 역할을 합니다. AWS 글로벌 지원 팀은 글로벌 기업과 교류하며 고객의 성공을 돕습니다. 또한 AWS Support는 AWS 서비스를 기반으로 미션 크리티컬 애플리케이션을 구축하는 전 세계 고객 목록과도 파트너 관계를 맺고 있습니다. 프로페셔널 서비스팀은 AWS 내 글로벌 서비스팀에 소속되어 있습니다. About AWS Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. 다양성 AWS는 다양한 경험을 중요하게 생각합니다. JD에 나와 있는 자격 및 기술을 모두 충족하지 못하더라도 지원자가 지원하도록 권장합니다. 경력을 이제 막 시작하였거나, 전통적인 경력을 쌓지 않았거나, 조금 다른 경험을 쌓았다고, 지원을 중단하실 필요는 없습니다. AWS를 선택해야 하는 이유 아마존 웹 서비스 (AWS) 는 세계에서 가장 포괄적이고 널리 채택된 클라우드 플랫폼입니다.우리는 클라우드 컴퓨팅 시장을 개척했으며 혁신을 멈추지 않았습니다. 이것이 바로 가장 성공적인 스타트업부터 Global 500 기업에 이르는 고객이 AWS의 제품 및 서비스 제품군을 신뢰하는 이유입니다. 일과 삶의 균형 우리는 일과 삶의 조화를 중요하게 생각합니다.직장에서의 성공을 위해 가정에서의 희생을 감수해서는 안 됩니다. 그렇기 때문에 유연한 근무 시간과 근무 방식이 우리 문화의 일부입니다.직장과 가정에서 지지받는다고 느낄 때 클라우드로는 달성할 수 없는 것이 없습니다. 포용적인 팀 문화 AWS에서는 배우고 호기심을 갖는 것이 우리의 본능입니다.직원이 주도하는 어피니티 그룹은 서로 다른 점을 자랑스럽게 여길 수 있는 포용의 문화를 조성합니다.인종 및 민족에 관한 대화 (CORE) 및 AmazeCon (성별 다양성) 컨퍼런스를 포함하여 진행 중인 이벤트와 학습 경험은 우리가 우리의 독창성을 받아들일 수 있도록 영감을 줍니다. 멘토십 및 경력 개발 우리는 세계 최고의 고용주가 되기 위해 노력하면서 지속적으로 성과 기준을 높이고 있습니다.그렇기 때문에 더 다재다능한 전문가로 발전하는 데 도움이 되는 지식 공유, 멘토십 및 기타 경력 개발 리소스를 찾을 수 있습니다. 일과 삶의 균형 우리는 일과 삶의 조화를 중요하게 생각합니다.직장에서의 성공을 위해 가정에서의 희생을 감수해서는 절대 안 됩니다. 이것이 바로 우리가 근무 문화의 일환으로 유연성을 추구하기 위해 노력하는 이유입니다.직장과 가정에서 지지받는다고 느낄 때 클라우드로는 달성할 수 없는 것이 없습니다. BASIC QUALIFICATIONS - PhD degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field plus 5 years of relevant experience, OR Masters degree plus 10 years of relevant work experience - 5+ years of hands on experience with Python to build, train, and evaluate models - experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing - experience with design, development, and optimization of generative AI solutions, algorithms, or technologies - Experience in patents or publications at top-tier peer-reviewed conferences or journals PREFERRED QUALIFICATIONS - Experience with the design, deployment, evaluation, and optimization of Large Language Model (LLM)-powered agents, tools, and orchestration approaches, including the development of high-quality prompts and templates to guide the behavior and responses of LLMs. - experience with open source frameworks for building applications powered by LLMs like LangChain, LlamaIndex, and/ or similar tools - Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker - Strong communication skills, with attention to detail and ability to convey rigorous technical concepts and considerations to non-experts - Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Posted: June 13, 2025 (Updated 3 days ago) Posted: May 19, 2025 (Updated 29 days ago) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Innovative Tech firm developing unique LLM applications are hiring a Deep Learning Scientist. The nature of your work will focus around autonomous agent development & interactions at scale. Experience Required : Python, with a solid software design experience. Deep knowledge of machine learning, deep learning methodologies & transformers Conversational AI technologies, like natural language understanding/generation, dialog systems, machine translation, and information retrieval. Experience of developing information retrieval systems, Fine Tuning for RAG & Direct Preference optimisation Experience of ML Ops environments & platforms The more experience you have of adapting LLM's for different domains the better (although this isn't a must have) so someone who has worked in a consulting environment working across domains might be relevant. If this sounds like you and you'd like to discuss further please get in touch, we are currently retained across 5 hires for our client.
Jun 17, 2025
Full time
Innovative Tech firm developing unique LLM applications are hiring a Deep Learning Scientist. The nature of your work will focus around autonomous agent development & interactions at scale. Experience Required : Python, with a solid software design experience. Deep knowledge of machine learning, deep learning methodologies & transformers Conversational AI technologies, like natural language understanding/generation, dialog systems, machine translation, and information retrieval. Experience of developing information retrieval systems, Fine Tuning for RAG & Direct Preference optimisation Experience of ML Ops environments & platforms The more experience you have of adapting LLM's for different domains the better (although this isn't a must have) so someone who has worked in a consulting environment working across domains might be relevant. If this sounds like you and you'd like to discuss further please get in touch, we are currently retained across 5 hires for our client.
Job ID: Services LLC Do you want to join an innovative team of scientists who invent and apply the most advanced machine learning and NLP techniques to create the best customer engagement experience on the earth? Do you want to revolutionize the way how customers solve their issues and get their questions answered? At Customer Engagement Technology (CET), we develop peculiar products that help customers solve problems. We innovate on behalf of customers, developing Bot, self-service, and associate-facing products that delight customers and support our world class customer service workforce. We are looking for talented Postdoctoral Scientists to join our CET Machine Learning team in Seattle, WA for a one-year, full-time research position to work on research and development of task oriented dialogue agents for the customer support domain. We utilize Large Language Models (LLMs) to address challenges within TOD systems, such as Natural Language Generation for generating system responses based, state tracking, decision making etc. We publish our research in top tier NLP and AI venues (EMNLP, ACL, AAAI, etc), and deploy ML powered chatbots primarily in the customer returns domain. Key job responsibilities In this role you will: • Work closely with a senior science advisor, collaborate with other scientists and engineers, and be part of Amazon's vibrant and diverse global science community. • Publish your innovation in top-tier academic venues and hone your presentation skills. • Be inspired by challenges and opportunities to invent cutting-edge techniques in your area(s) of expertise. BASIC QUALIFICATIONS • PhD in a relevant field, received within 2 years of starting the program • Proven publication record in Machine Learning, Computer Vision, AI, Computer Science, or other related technical fields • Experience in data science and quantitative research • Proficiency in technologies relevant to the subfield • Experience in Natural Language Processing, and in particular Large Language Models PREFERRED QUALIFICATIONS • Ability to independently deliver results in a fast-paced environment • Publications at top-tier, peer-reviewed conferences and/or journals • Exceptional verbal and written communication skills • Expert knowledge in modeling and performance, operationalization, and scalability of scientific techniques and establishing decision strategies Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Jun 17, 2025
Full time
Job ID: Services LLC Do you want to join an innovative team of scientists who invent and apply the most advanced machine learning and NLP techniques to create the best customer engagement experience on the earth? Do you want to revolutionize the way how customers solve their issues and get their questions answered? At Customer Engagement Technology (CET), we develop peculiar products that help customers solve problems. We innovate on behalf of customers, developing Bot, self-service, and associate-facing products that delight customers and support our world class customer service workforce. We are looking for talented Postdoctoral Scientists to join our CET Machine Learning team in Seattle, WA for a one-year, full-time research position to work on research and development of task oriented dialogue agents for the customer support domain. We utilize Large Language Models (LLMs) to address challenges within TOD systems, such as Natural Language Generation for generating system responses based, state tracking, decision making etc. We publish our research in top tier NLP and AI venues (EMNLP, ACL, AAAI, etc), and deploy ML powered chatbots primarily in the customer returns domain. Key job responsibilities In this role you will: • Work closely with a senior science advisor, collaborate with other scientists and engineers, and be part of Amazon's vibrant and diverse global science community. • Publish your innovation in top-tier academic venues and hone your presentation skills. • Be inspired by challenges and opportunities to invent cutting-edge techniques in your area(s) of expertise. BASIC QUALIFICATIONS • PhD in a relevant field, received within 2 years of starting the program • Proven publication record in Machine Learning, Computer Vision, AI, Computer Science, or other related technical fields • Experience in data science and quantitative research • Proficiency in technologies relevant to the subfield • Experience in Natural Language Processing, and in particular Large Language Models PREFERRED QUALIFICATIONS • Ability to independently deliver results in a fast-paced environment • Publications at top-tier, peer-reviewed conferences and/or journals • Exceptional verbal and written communication skills • Expert knowledge in modeling and performance, operationalization, and scalability of scientific techniques and establishing decision strategies Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Job Description: This role is a project-based transformation role and has a current expected end date of '31st December 2026'. As we move closer to '31st December 2026', we will work with you to explore other opportunities for employment within the Mars family of companies. If a suitable alternative role is not available at that time, your employment will end. Do you feel comfortable entering recruitment for this role, given that it is project-funded and would require you to secure your next full-time or promotional opportunity with Mars before December 31, 2026? Join the Chief Data Office (CDO) at Mars, where we leverage data and insights to tackle critical business challenges and fuel growth within our Snacking division. This is your chance to lead the charge into the dynamic realm of Generative AI, spearheading innovative projects that encompass a wide range of use cases-from creative applications to process optimization. In this pivotal role, you will engage with senior stakeholders at the VP level and present your insights to executives, crafting compelling narratives that highlight the business value of our Mar GPT initiatives. You will be instrumental in establishing frameworks, guidelines, and standards that empower our teams to fully harness the potential of Generative AI, driving significant efficiencies and innovation across the organization. As a hands-on product owner, you will guide the broader Data Science community through complex Gen AI and LLMOps projects, ensuring successful planning and execution. Your expertise will be key in navigating the ever-evolving landscape of Generative AI, making a lasting impact on our Snacking ecosystem. What are we looking for? Bachelor's Degree with a minimum of 5 years of experience required; Master's degree preferred. 7+ years of experience in a quantitative role, preferably within the CPG or retail industry. 4+ years of experience managing teams of data scientists, product analysts, or data analysts. Proven track record in delivering AI/Data Science products in fast-paced, agile environments. Expertise in LLMs, ML Ops, and relevant design architecture elements. Hands-on experience in building agents and leveraging emerging technologies within Microsoft and Google. Strong customer-centric mindset with a focus on value creation and adoption. What will be your key responsibilities? Lead Innovation: Serve as the key lead for Gen AI and LLM Ops within the Mars Snacking Community, driving transformative projects that redefine how we leverage data. Design Next-Gen Solutions: Apply your strong expertise in AI to design, prototype, and build next-generation ML engines and services that will have a lasting impact on our business. Collaborate Across Functions: Work closely with Data Engineering and DevOps teams to architect solutions that meet diverse business needs, ensuring seamless integration and functionality. Mentor and Inspire: Guide and mentor a talented team of data scientists, fostering a culture of innovation and excellence while creating fit-for-purpose solutions using cutting-edge analytical methodologies. Drive Strategic Insights: Utilize machine learning techniques and visualizations to derive actionable insights from data, empowering decision-making at all levels of the organization. Performance Monitoring: Define key performance indicators (KPIs) and implement monitoring systems for deployed data platforms, ensuring efficient operations and continuous improvement. What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. Join a purpose-driven company, where we're striving to build the world we want tomorrow, today. Best-in-class learning and development support from day one, including access to our in-house Mars University. An industry-competitive salary and benefits package, including a company bonus. Be part of a transformative journey that not only enhances your career but also contributes to the future of Mars Snacking and the broader industry. Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.
Jun 17, 2025
Full time
Job Description: This role is a project-based transformation role and has a current expected end date of '31st December 2026'. As we move closer to '31st December 2026', we will work with you to explore other opportunities for employment within the Mars family of companies. If a suitable alternative role is not available at that time, your employment will end. Do you feel comfortable entering recruitment for this role, given that it is project-funded and would require you to secure your next full-time or promotional opportunity with Mars before December 31, 2026? Join the Chief Data Office (CDO) at Mars, where we leverage data and insights to tackle critical business challenges and fuel growth within our Snacking division. This is your chance to lead the charge into the dynamic realm of Generative AI, spearheading innovative projects that encompass a wide range of use cases-from creative applications to process optimization. In this pivotal role, you will engage with senior stakeholders at the VP level and present your insights to executives, crafting compelling narratives that highlight the business value of our Mar GPT initiatives. You will be instrumental in establishing frameworks, guidelines, and standards that empower our teams to fully harness the potential of Generative AI, driving significant efficiencies and innovation across the organization. As a hands-on product owner, you will guide the broader Data Science community through complex Gen AI and LLMOps projects, ensuring successful planning and execution. Your expertise will be key in navigating the ever-evolving landscape of Generative AI, making a lasting impact on our Snacking ecosystem. What are we looking for? Bachelor's Degree with a minimum of 5 years of experience required; Master's degree preferred. 7+ years of experience in a quantitative role, preferably within the CPG or retail industry. 4+ years of experience managing teams of data scientists, product analysts, or data analysts. Proven track record in delivering AI/Data Science products in fast-paced, agile environments. Expertise in LLMs, ML Ops, and relevant design architecture elements. Hands-on experience in building agents and leveraging emerging technologies within Microsoft and Google. Strong customer-centric mindset with a focus on value creation and adoption. What will be your key responsibilities? Lead Innovation: Serve as the key lead for Gen AI and LLM Ops within the Mars Snacking Community, driving transformative projects that redefine how we leverage data. Design Next-Gen Solutions: Apply your strong expertise in AI to design, prototype, and build next-generation ML engines and services that will have a lasting impact on our business. Collaborate Across Functions: Work closely with Data Engineering and DevOps teams to architect solutions that meet diverse business needs, ensuring seamless integration and functionality. Mentor and Inspire: Guide and mentor a talented team of data scientists, fostering a culture of innovation and excellence while creating fit-for-purpose solutions using cutting-edge analytical methodologies. Drive Strategic Insights: Utilize machine learning techniques and visualizations to derive actionable insights from data, empowering decision-making at all levels of the organization. Performance Monitoring: Define key performance indicators (KPIs) and implement monitoring systems for deployed data platforms, ensuring efficient operations and continuous improvement. What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. Join a purpose-driven company, where we're striving to build the world we want tomorrow, today. Best-in-class learning and development support from day one, including access to our in-house Mars University. An industry-competitive salary and benefits package, including a company bonus. Be part of a transformative journey that not only enhances your career but also contributes to the future of Mars Snacking and the broader industry. Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.
Job Description: This role is a project-based transformation role and has a current expected end date of '31st December 2026'. As we move closer to '31st December 2026', we will work with you to explore other opportunities for employment within the Mars family of companies. If a suitable alternative role is not available at that time, your employment will end. Do you feel comfortable entering recruitment for this role, given that it is project-funded and would require you to secure your next full-time or promotional opportunity with Mars before December 31, 2026? Join the Chief Data Office (CDO) at Mars, where we leverage data and insights to tackle critical business challenges and fuel growth within our Snacking division. This is your chance to lead the charge into the dynamic realm of Generative AI, spearheading innovative projects that encompass a wide range of use cases-from creative applications to process optimization. In this pivotal role, you will engage with senior stakeholders at the VP level and present your insights to executives, crafting compelling narratives that highlight the business value of our Mar GPT initiatives. You will be instrumental in establishing frameworks, guidelines, and standards that empower our teams to fully harness the potential of Generative AI, driving significant efficiencies and innovation across the organization. As a hands-on product owner, you will guide the broader Data Science community through complex Gen AI and LLMOps projects, ensuring successful planning and execution. Your expertise will be key in navigating the ever-evolving landscape of Generative AI, making a lasting impact on our Snacking ecosystem. What are we looking for? Bachelor's Degree with a minimum of 5 years of experience required; Master's degree preferred. 7+ years of experience in a quantitative role, preferably within the CPG or retail industry. 4+ years of experience managing teams of data scientists, product analysts, or data analysts. Proven track record in delivering AI/Data Science products in fast-paced, agile environments. Expertise in LLMs, ML Ops, and relevant design architecture elements. Hands-on experience in building agents and leveraging emerging technologies within Microsoft and Google. Strong customer-centric mindset with a focus on value creation and adoption. What will be your key responsibilities? Lead Innovation: Serve as the key lead for Gen AI and LLM Ops within the Mars Snacking Community, driving transformative projects that redefine how we leverage data. Design Next-Gen Solutions: Apply your strong expertise in AI to design, prototype, and build next-generation ML engines and services that will have a lasting impact on our business. Collaborate Across Functions: Work closely with Data Engineering and DevOps teams to architect solutions that meet diverse business needs, ensuring seamless integration and functionality. Mentor and Inspire: Guide and mentor a talented team of data scientists, fostering a culture of innovation and excellence while creating fit-for-purpose solutions using cutting-edge analytical methodologies. Drive Strategic Insights: Utilize machine learning techniques and visualizations to derive actionable insights from data, empowering decision-making at all levels of the organization. Performance Monitoring: Define key performance indicators (KPIs) and implement monitoring systems for deployed data platforms, ensuring efficient operations and continuous improvement. What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. Join a purpose-driven company, where we're striving to build the world we want tomorrow, today. Best-in-class learning and development support from day one, including access to our in-house Mars University. An industry-competitive salary and benefits package, including a company bonus. Be part of a transformative journey that not only enhances your career but also contributes to the future of Mars Snacking and the broader industry. Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.
Jun 17, 2025
Full time
Job Description: This role is a project-based transformation role and has a current expected end date of '31st December 2026'. As we move closer to '31st December 2026', we will work with you to explore other opportunities for employment within the Mars family of companies. If a suitable alternative role is not available at that time, your employment will end. Do you feel comfortable entering recruitment for this role, given that it is project-funded and would require you to secure your next full-time or promotional opportunity with Mars before December 31, 2026? Join the Chief Data Office (CDO) at Mars, where we leverage data and insights to tackle critical business challenges and fuel growth within our Snacking division. This is your chance to lead the charge into the dynamic realm of Generative AI, spearheading innovative projects that encompass a wide range of use cases-from creative applications to process optimization. In this pivotal role, you will engage with senior stakeholders at the VP level and present your insights to executives, crafting compelling narratives that highlight the business value of our Mar GPT initiatives. You will be instrumental in establishing frameworks, guidelines, and standards that empower our teams to fully harness the potential of Generative AI, driving significant efficiencies and innovation across the organization. As a hands-on product owner, you will guide the broader Data Science community through complex Gen AI and LLMOps projects, ensuring successful planning and execution. Your expertise will be key in navigating the ever-evolving landscape of Generative AI, making a lasting impact on our Snacking ecosystem. What are we looking for? Bachelor's Degree with a minimum of 5 years of experience required; Master's degree preferred. 7+ years of experience in a quantitative role, preferably within the CPG or retail industry. 4+ years of experience managing teams of data scientists, product analysts, or data analysts. Proven track record in delivering AI/Data Science products in fast-paced, agile environments. Expertise in LLMs, ML Ops, and relevant design architecture elements. Hands-on experience in building agents and leveraging emerging technologies within Microsoft and Google. Strong customer-centric mindset with a focus on value creation and adoption. What will be your key responsibilities? Lead Innovation: Serve as the key lead for Gen AI and LLM Ops within the Mars Snacking Community, driving transformative projects that redefine how we leverage data. Design Next-Gen Solutions: Apply your strong expertise in AI to design, prototype, and build next-generation ML engines and services that will have a lasting impact on our business. Collaborate Across Functions: Work closely with Data Engineering and DevOps teams to architect solutions that meet diverse business needs, ensuring seamless integration and functionality. Mentor and Inspire: Guide and mentor a talented team of data scientists, fostering a culture of innovation and excellence while creating fit-for-purpose solutions using cutting-edge analytical methodologies. Drive Strategic Insights: Utilize machine learning techniques and visualizations to derive actionable insights from data, empowering decision-making at all levels of the organization. Performance Monitoring: Define key performance indicators (KPIs) and implement monitoring systems for deployed data platforms, ensuring efficient operations and continuous improvement. What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. Join a purpose-driven company, where we're striving to build the world we want tomorrow, today. Best-in-class learning and development support from day one, including access to our in-house Mars University. An industry-competitive salary and benefits package, including a company bonus. Be part of a transformative journey that not only enhances your career but also contributes to the future of Mars Snacking and the broader industry. Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.
Job Description: This role is a project-based transformation role and has a current expected end date of '31st December 2026'. As we move closer to '31st December 2026', we will work with you to explore other opportunities for employment within the Mars family of companies. If a suitable alternative role is not available at that time, your employment will end. Do you feel comfortable entering recruitment for this role, given that it is project-funded and would require you to secure your next full-time or promotional opportunity with Mars before December 31, 2026? Join the Chief Data Office (CDO) at Mars, where we leverage data and insights to tackle critical business challenges and fuel growth within our Snacking division. This is your chance to lead the charge into the dynamic realm of Generative AI, spearheading innovative projects that encompass a wide range of use cases-from creative applications to process optimization. In this pivotal role, you will engage with senior stakeholders at the VP level and present your insights to executives, crafting compelling narratives that highlight the business value of our Mar GPT initiatives. You will be instrumental in establishing frameworks, guidelines, and standards that empower our teams to fully harness the potential of Generative AI, driving significant efficiencies and innovation across the organization. As a hands-on product owner, you will guide the broader Data Science community through complex Gen AI and LLMOps projects, ensuring successful planning and execution. Your expertise will be key in navigating the ever-evolving landscape of Generative AI, making a lasting impact on our Snacking ecosystem. What are we looking for? Bachelor's Degree with a minimum of 5 years of experience required; Master's degree preferred. 7+ years of experience in a quantitative role, preferably within the CPG or retail industry. 4+ years of experience managing teams of data scientists, product analysts, or data analysts. Proven track record in delivering AI/Data Science products in fast-paced, agile environments. Expertise in LLMs, ML Ops, and relevant design architecture elements. Hands-on experience in building agents and leveraging emerging technologies within Microsoft and Google. Strong customer-centric mindset with a focus on value creation and adoption. What will be your key responsibilities? Lead Innovation: Serve as the key lead for Gen AI and LLM Ops within the Mars Snacking Community, driving transformative projects that redefine how we leverage data. Design Next-Gen Solutions: Apply your strong expertise in AI to design, prototype, and build next-generation ML engines and services that will have a lasting impact on our business. Collaborate Across Functions: Work closely with Data Engineering and DevOps teams to architect solutions that meet diverse business needs, ensuring seamless integration and functionality. Mentor and Inspire: Guide and mentor a talented team of data scientists, fostering a culture of innovation and excellence while creating fit-for-purpose solutions using cutting-edge analytical methodologies. Drive Strategic Insights: Utilize machine learning techniques and visualizations to derive actionable insights from data, empowering decision-making at all levels of the organization. Performance Monitoring: Define key performance indicators (KPIs) and implement monitoring systems for deployed data platforms, ensuring efficient operations and continuous improvement. What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. Join a purpose-driven company, where we're striving to build the world we want tomorrow, today. Best-in-class learning and development support from day one, including access to our in-house Mars University. An industry-competitive salary and benefits package, including a company bonus. Be part of a transformative journey that not only enhances your career but also contributes to the future of Mars Snacking and the broader industry. Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.
Jun 17, 2025
Full time
Job Description: This role is a project-based transformation role and has a current expected end date of '31st December 2026'. As we move closer to '31st December 2026', we will work with you to explore other opportunities for employment within the Mars family of companies. If a suitable alternative role is not available at that time, your employment will end. Do you feel comfortable entering recruitment for this role, given that it is project-funded and would require you to secure your next full-time or promotional opportunity with Mars before December 31, 2026? Join the Chief Data Office (CDO) at Mars, where we leverage data and insights to tackle critical business challenges and fuel growth within our Snacking division. This is your chance to lead the charge into the dynamic realm of Generative AI, spearheading innovative projects that encompass a wide range of use cases-from creative applications to process optimization. In this pivotal role, you will engage with senior stakeholders at the VP level and present your insights to executives, crafting compelling narratives that highlight the business value of our Mar GPT initiatives. You will be instrumental in establishing frameworks, guidelines, and standards that empower our teams to fully harness the potential of Generative AI, driving significant efficiencies and innovation across the organization. As a hands-on product owner, you will guide the broader Data Science community through complex Gen AI and LLMOps projects, ensuring successful planning and execution. Your expertise will be key in navigating the ever-evolving landscape of Generative AI, making a lasting impact on our Snacking ecosystem. What are we looking for? Bachelor's Degree with a minimum of 5 years of experience required; Master's degree preferred. 7+ years of experience in a quantitative role, preferably within the CPG or retail industry. 4+ years of experience managing teams of data scientists, product analysts, or data analysts. Proven track record in delivering AI/Data Science products in fast-paced, agile environments. Expertise in LLMs, ML Ops, and relevant design architecture elements. Hands-on experience in building agents and leveraging emerging technologies within Microsoft and Google. Strong customer-centric mindset with a focus on value creation and adoption. What will be your key responsibilities? Lead Innovation: Serve as the key lead for Gen AI and LLM Ops within the Mars Snacking Community, driving transformative projects that redefine how we leverage data. Design Next-Gen Solutions: Apply your strong expertise in AI to design, prototype, and build next-generation ML engines and services that will have a lasting impact on our business. Collaborate Across Functions: Work closely with Data Engineering and DevOps teams to architect solutions that meet diverse business needs, ensuring seamless integration and functionality. Mentor and Inspire: Guide and mentor a talented team of data scientists, fostering a culture of innovation and excellence while creating fit-for-purpose solutions using cutting-edge analytical methodologies. Drive Strategic Insights: Utilize machine learning techniques and visualizations to derive actionable insights from data, empowering decision-making at all levels of the organization. Performance Monitoring: Define key performance indicators (KPIs) and implement monitoring systems for deployed data platforms, ensuring efficient operations and continuous improvement. What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. Join a purpose-driven company, where we're striving to build the world we want tomorrow, today. Best-in-class learning and development support from day one, including access to our in-house Mars University. An industry-competitive salary and benefits package, including a company bonus. Be part of a transformative journey that not only enhances your career but also contributes to the future of Mars Snacking and the broader industry. Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.
The Artificial General Intelligence (AGI) team is seeking a dedicated, skilled, and innovative Applied Scientist with a robust background in deep learning to build industry-leading technology with Large Language Models (LLMs) and Multimodal systems. Key job responsibilities As part of the AGI team, the Applied Scientist will collaborate closely with talented colleagues to lead the development of advanced approaches and modeling techniques, driving forward the frontier of LLM technology. This includes innovating model-in-the-loop and human-in-the-loop approaches to ensure the collection of high-quality data, safeguarding data privacy and security for LLM training, and more. The Applied Scientist will also have a direct impact on enhancing customer experiences through state-of-the-art products and services. A day in the life An Applied Scientist with the AGI team will support the science solution design, run experiments, research new algorithms, and find new ways of optimizing the customer experience, while setting examples for the team on good science practices and standards. Besides theoretical analysis and innovation, an Applied Scientist will also work closely with talented engineers and scientists to implement algorithms and models effectively. The ideal candidate should be passionate about delivering experiences that delight customers and creating robust solutions. They will also create reliable, scalable, and high-performance products that require exceptional technical expertise and a sound understanding of Machine Learning. BASIC QUALIFICATIONS PhD, or Master's degree with 4+ years of experience in building machine learning models or developing algorithms for business applications Experience programming in Java, C++, Python, or related languages Experience with neural deep learning methods and machine learning Experience with Large Language Models (LLMs) or multimodal systems PREFERRED QUALIFICATIONS PhD in Mathematics, Statistics, Engineering, Machine Learning, Computer Science, or related discipline 4+ years of industry or postdoctoral experience in machine learning Experience with patents or publications at top-tier peer-reviewed conferences or journals Experience with popular deep learning frameworks such as MxNet, PyTorch, or TensorFlow Experience in building large-scale machine learning systems Proficiency in state-of-the-art Natural Language Processing (NLP) and Computer Vision (CV) deep learning models Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Jun 16, 2025
Full time
The Artificial General Intelligence (AGI) team is seeking a dedicated, skilled, and innovative Applied Scientist with a robust background in deep learning to build industry-leading technology with Large Language Models (LLMs) and Multimodal systems. Key job responsibilities As part of the AGI team, the Applied Scientist will collaborate closely with talented colleagues to lead the development of advanced approaches and modeling techniques, driving forward the frontier of LLM technology. This includes innovating model-in-the-loop and human-in-the-loop approaches to ensure the collection of high-quality data, safeguarding data privacy and security for LLM training, and more. The Applied Scientist will also have a direct impact on enhancing customer experiences through state-of-the-art products and services. A day in the life An Applied Scientist with the AGI team will support the science solution design, run experiments, research new algorithms, and find new ways of optimizing the customer experience, while setting examples for the team on good science practices and standards. Besides theoretical analysis and innovation, an Applied Scientist will also work closely with talented engineers and scientists to implement algorithms and models effectively. The ideal candidate should be passionate about delivering experiences that delight customers and creating robust solutions. They will also create reliable, scalable, and high-performance products that require exceptional technical expertise and a sound understanding of Machine Learning. BASIC QUALIFICATIONS PhD, or Master's degree with 4+ years of experience in building machine learning models or developing algorithms for business applications Experience programming in Java, C++, Python, or related languages Experience with neural deep learning methods and machine learning Experience with Large Language Models (LLMs) or multimodal systems PREFERRED QUALIFICATIONS PhD in Mathematics, Statistics, Engineering, Machine Learning, Computer Science, or related discipline 4+ years of industry or postdoctoral experience in machine learning Experience with patents or publications at top-tier peer-reviewed conferences or journals Experience with popular deep learning frameworks such as MxNet, PyTorch, or TensorFlow Experience in building large-scale machine learning systems Proficiency in state-of-the-art Natural Language Processing (NLP) and Computer Vision (CV) deep learning models Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Senior Applied Scientist, Alexa Conversational Assistant Services Job ID: Services LLC AI for Domains (AIDO) team is part of Alexa Conversational Assistant Services organization where our mission is to create a best-in-class Conversational AI that is intuitive, intelligent, and responsive, by developing superior Large Language Models (LLM) solutions and services which increase the capabilities built into the model and which enable utilizing thousands of APIs and external knowledge sources to provide the best experience for each request across millions of customers and endpoints. We are looking for talented and experienced science leader in the field of LLM, Artificial Intelligence (AI), Natural Language Processing (NLP) and/or Information Retrieval, to invent and build scalable solutions for a state-of-the-art context-aware conversational AI. A successful candidate will have solid technical background and extensive experience in leading projects and technical teams. The ideal candidate would also have experiences in developing natural language processing systems (particularly LLM based systems) for industry applications, enjoy operating in highly dynamic and ambiguous environments, be self-motivated to take on challenging problems to deliver customer impact. Key job responsibilities As a Senior Applied Scientist, you will: Help develop a strong and coherent team with particular focus on sciences and innovations in LLM technologies for conversation AI applications Serve as a technical lead on demanding and cross-team projects, and effectively collaborating with multiple cross-organizational teams Apply technical influence on partner teams, increasing their productivity by sharing your deep knowledge BASIC QUALIFICATIONS - PhD, or Master's degree and 6+ years of applied research experience - 3+ years of building machine learning models for business application experience - Experience programming in Java, C++, Python or related language - Graduate degree (MS or PhD) in Computer Science, Electrical Engineering, Mathematics, or a related field. - Solid ML background and familiar with standard NLU, NLG, and LLM techniques PREFERRED QUALIFICATIONS - PhD in Computer Sciences, Electrical Engineering, or Mathematics with specialization in machine learning, deep learning, or natural language processing - 4+ years experience in building conversational AI and/or natural language processing systems. - Publications at peer-reviewed NLP/ML conferences (e.g. ACL, EMNLP, NAACL, NeurIPS, ICLR, ICML, AAAI, etc.) - Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field. - 5+ years experience with large scale distributed systems such as Hadoop, Spark etc. - Excellent written and spoken communication skills Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Jun 16, 2025
Full time
Senior Applied Scientist, Alexa Conversational Assistant Services Job ID: Services LLC AI for Domains (AIDO) team is part of Alexa Conversational Assistant Services organization where our mission is to create a best-in-class Conversational AI that is intuitive, intelligent, and responsive, by developing superior Large Language Models (LLM) solutions and services which increase the capabilities built into the model and which enable utilizing thousands of APIs and external knowledge sources to provide the best experience for each request across millions of customers and endpoints. We are looking for talented and experienced science leader in the field of LLM, Artificial Intelligence (AI), Natural Language Processing (NLP) and/or Information Retrieval, to invent and build scalable solutions for a state-of-the-art context-aware conversational AI. A successful candidate will have solid technical background and extensive experience in leading projects and technical teams. The ideal candidate would also have experiences in developing natural language processing systems (particularly LLM based systems) for industry applications, enjoy operating in highly dynamic and ambiguous environments, be self-motivated to take on challenging problems to deliver customer impact. Key job responsibilities As a Senior Applied Scientist, you will: Help develop a strong and coherent team with particular focus on sciences and innovations in LLM technologies for conversation AI applications Serve as a technical lead on demanding and cross-team projects, and effectively collaborating with multiple cross-organizational teams Apply technical influence on partner teams, increasing their productivity by sharing your deep knowledge BASIC QUALIFICATIONS - PhD, or Master's degree and 6+ years of applied research experience - 3+ years of building machine learning models for business application experience - Experience programming in Java, C++, Python or related language - Graduate degree (MS or PhD) in Computer Science, Electrical Engineering, Mathematics, or a related field. - Solid ML background and familiar with standard NLU, NLG, and LLM techniques PREFERRED QUALIFICATIONS - PhD in Computer Sciences, Electrical Engineering, or Mathematics with specialization in machine learning, deep learning, or natural language processing - 4+ years experience in building conversational AI and/or natural language processing systems. - Publications at peer-reviewed NLP/ML conferences (e.g. ACL, EMNLP, NAACL, NeurIPS, ICLR, ICML, AAAI, etc.) - Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field. - 5+ years experience with large scale distributed systems such as Hadoop, Spark etc. - Excellent written and spoken communication skills Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Job Description: This role is a project-based transformation role and has a current expected end date of '31st December 2026'. As we move closer to '31st December 2026', we will work with you to explore other opportunities for employment within the Mars family of companies. If a suitable alternative role is not available at that time, your employment will end. Do you feel comfortable entering recruitment for this role, given that it is project-funded and would require you to secure your next full-time or promotional opportunity with Mars before December 31, 2026? Join the Chief Data Office (CDO) at Mars, where we leverage data and insights to tackle critical business challenges and fuel growth within our Snacking division. This is your chance to lead the charge into the dynamic realm of Generative AI, spearheading innovative projects that encompass a wide range of use cases-from creative applications to process optimization. In this pivotal role, you will engage with senior stakeholders at the VP level and present your insights to executives, crafting compelling narratives that highlight the business value of our Mar GPT initiatives. You will be instrumental in establishing frameworks, guidelines, and standards that empower our teams to fully harness the potential of Generative AI, driving significant efficiencies and innovation across the organization. As a hands-on product owner, you will guide the broader Data Science community through complex Gen AI and LLMOps projects, ensuring successful planning and execution. Your expertise will be key in navigating the ever-evolving landscape of Generative AI, making a lasting impact on our Snacking ecosystem. What are we looking for? Bachelor's Degree with a minimum of 5 years of experience required; Master's degree preferred. 7+ years of experience in a quantitative role, preferably within the CPG or retail industry. 4+ years of experience managing teams of data scientists, product analysts, or data analysts. Proven track record in delivering AI/Data Science products in fast-paced, agile environments. Expertise in LLMs, ML Ops, and relevant design architecture elements. Hands-on experience in building agents and leveraging emerging technologies within Microsoft and Google. Strong customer-centric mindset with a focus on value creation and adoption. What will be your key responsibilities? Lead Innovation: Serve as the key lead for Gen AI and LLM Ops within the Mars Snacking Community, driving transformative projects that redefine how we leverage data. Design Next-Gen Solutions: Apply your strong expertise in AI to design, prototype, and build next-generation ML engines and services that will have a lasting impact on our business. Collaborate Across Functions: Work closely with Data Engineering and DevOps teams to architect solutions that meet diverse business needs, ensuring seamless integration and functionality. Mentor and Inspire: Guide and mentor a talented team of data scientists, fostering a culture of innovation and excellence while creating fit-for-purpose solutions using cutting-edge analytical methodologies. Drive Strategic Insights: Utilize machine learning techniques and visualizations to derive actionable insights from data, empowering decision-making at all levels of the organization. Performance Monitoring: Define key performance indicators (KPIs) and implement monitoring systems for deployed data platforms, ensuring efficient operations and continuous improvement. What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. Join a purpose-driven company, where we're striving to build the world we want tomorrow, today. Best-in-class learning and development support from day one, including access to our in-house Mars University. An industry-competitive salary and benefits package, including a company bonus. Be part of a transformative journey that not only enhances your career but also contributes to the future of Mars Snacking and the broader industry. Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.
Jun 16, 2025
Full time
Job Description: This role is a project-based transformation role and has a current expected end date of '31st December 2026'. As we move closer to '31st December 2026', we will work with you to explore other opportunities for employment within the Mars family of companies. If a suitable alternative role is not available at that time, your employment will end. Do you feel comfortable entering recruitment for this role, given that it is project-funded and would require you to secure your next full-time or promotional opportunity with Mars before December 31, 2026? Join the Chief Data Office (CDO) at Mars, where we leverage data and insights to tackle critical business challenges and fuel growth within our Snacking division. This is your chance to lead the charge into the dynamic realm of Generative AI, spearheading innovative projects that encompass a wide range of use cases-from creative applications to process optimization. In this pivotal role, you will engage with senior stakeholders at the VP level and present your insights to executives, crafting compelling narratives that highlight the business value of our Mar GPT initiatives. You will be instrumental in establishing frameworks, guidelines, and standards that empower our teams to fully harness the potential of Generative AI, driving significant efficiencies and innovation across the organization. As a hands-on product owner, you will guide the broader Data Science community through complex Gen AI and LLMOps projects, ensuring successful planning and execution. Your expertise will be key in navigating the ever-evolving landscape of Generative AI, making a lasting impact on our Snacking ecosystem. What are we looking for? Bachelor's Degree with a minimum of 5 years of experience required; Master's degree preferred. 7+ years of experience in a quantitative role, preferably within the CPG or retail industry. 4+ years of experience managing teams of data scientists, product analysts, or data analysts. Proven track record in delivering AI/Data Science products in fast-paced, agile environments. Expertise in LLMs, ML Ops, and relevant design architecture elements. Hands-on experience in building agents and leveraging emerging technologies within Microsoft and Google. Strong customer-centric mindset with a focus on value creation and adoption. What will be your key responsibilities? Lead Innovation: Serve as the key lead for Gen AI and LLM Ops within the Mars Snacking Community, driving transformative projects that redefine how we leverage data. Design Next-Gen Solutions: Apply your strong expertise in AI to design, prototype, and build next-generation ML engines and services that will have a lasting impact on our business. Collaborate Across Functions: Work closely with Data Engineering and DevOps teams to architect solutions that meet diverse business needs, ensuring seamless integration and functionality. Mentor and Inspire: Guide and mentor a talented team of data scientists, fostering a culture of innovation and excellence while creating fit-for-purpose solutions using cutting-edge analytical methodologies. Drive Strategic Insights: Utilize machine learning techniques and visualizations to derive actionable insights from data, empowering decision-making at all levels of the organization. Performance Monitoring: Define key performance indicators (KPIs) and implement monitoring systems for deployed data platforms, ensuring efficient operations and continuous improvement. What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. Join a purpose-driven company, where we're striving to build the world we want tomorrow, today. Best-in-class learning and development support from day one, including access to our in-house Mars University. An industry-competitive salary and benefits package, including a company bonus. Be part of a transformative journey that not only enhances your career but also contributes to the future of Mars Snacking and the broader industry. Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.
Job Description: This role is a project-based transformation role and has a current expected end date of '31st December 2026'. As we move closer to '31st December 2026', we will work with you to explore other opportunities for employment within the Mars family of companies. If a suitable alternative role is not available at that time, your employment will end. Do you feel comfortable entering recruitment for this role, given that it is project-funded and would require you to secure your next full-time or promotional opportunity with Mars before December 31, 2026? Join the Chief Data Office (CDO) at Mars, where we leverage data and insights to tackle critical business challenges and fuel growth within our Snacking division. This is your chance to lead the charge into the dynamic realm of Generative AI, spearheading innovative projects that encompass a wide range of use cases-from creative applications to process optimization. In this pivotal role, you will engage with senior stakeholders at the VP level and present your insights to executives, crafting compelling narratives that highlight the business value of our Mar GPT initiatives. You will be instrumental in establishing frameworks, guidelines, and standards that empower our teams to fully harness the potential of Generative AI, driving significant efficiencies and innovation across the organization. As a hands-on product owner, you will guide the broader Data Science community through complex Gen AI and LLMOps projects, ensuring successful planning and execution. Your expertise will be key in navigating the ever-evolving landscape of Generative AI, making a lasting impact on our Snacking ecosystem. What are we looking for? Bachelor's Degree with a minimum of 5 years of experience required; Master's degree preferred. 7+ years of experience in a quantitative role, preferably within the CPG or retail industry. 4+ years of experience managing teams of data scientists, product analysts, or data analysts. Proven track record in delivering AI/Data Science products in fast-paced, agile environments. Expertise in LLMs, ML Ops, and relevant design architecture elements. Hands-on experience in building agents and leveraging emerging technologies within Microsoft and Google. Strong customer-centric mindset with a focus on value creation and adoption. What will be your key responsibilities? Lead Innovation: Serve as the key lead for Gen AI and LLM Ops within the Mars Snacking Community, driving transformative projects that redefine how we leverage data. Design Next-Gen Solutions: Apply your strong expertise in AI to design, prototype, and build next-generation ML engines and services that will have a lasting impact on our business. Collaborate Across Functions: Work closely with Data Engineering and DevOps teams to architect solutions that meet diverse business needs, ensuring seamless integration and functionality. Mentor and Inspire: Guide and mentor a talented team of data scientists, fostering a culture of innovation and excellence while creating fit-for-purpose solutions using cutting-edge analytical methodologies. Drive Strategic Insights: Utilize machine learning techniques and visualizations to derive actionable insights from data, empowering decision-making at all levels of the organization. Performance Monitoring: Define key performance indicators (KPIs) and implement monitoring systems for deployed data platforms, ensuring efficient operations and continuous improvement. What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. Join a purpose-driven company, where we're striving to build the world we want tomorrow, today. Best-in-class learning and development support from day one, including access to our in-house Mars University. An industry-competitive salary and benefits package, including a company bonus. Be part of a transformative journey that not only enhances your career but also contributes to the future of Mars Snacking and the broader industry. Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.
Jun 16, 2025
Full time
Job Description: This role is a project-based transformation role and has a current expected end date of '31st December 2026'. As we move closer to '31st December 2026', we will work with you to explore other opportunities for employment within the Mars family of companies. If a suitable alternative role is not available at that time, your employment will end. Do you feel comfortable entering recruitment for this role, given that it is project-funded and would require you to secure your next full-time or promotional opportunity with Mars before December 31, 2026? Join the Chief Data Office (CDO) at Mars, where we leverage data and insights to tackle critical business challenges and fuel growth within our Snacking division. This is your chance to lead the charge into the dynamic realm of Generative AI, spearheading innovative projects that encompass a wide range of use cases-from creative applications to process optimization. In this pivotal role, you will engage with senior stakeholders at the VP level and present your insights to executives, crafting compelling narratives that highlight the business value of our Mar GPT initiatives. You will be instrumental in establishing frameworks, guidelines, and standards that empower our teams to fully harness the potential of Generative AI, driving significant efficiencies and innovation across the organization. As a hands-on product owner, you will guide the broader Data Science community through complex Gen AI and LLMOps projects, ensuring successful planning and execution. Your expertise will be key in navigating the ever-evolving landscape of Generative AI, making a lasting impact on our Snacking ecosystem. What are we looking for? Bachelor's Degree with a minimum of 5 years of experience required; Master's degree preferred. 7+ years of experience in a quantitative role, preferably within the CPG or retail industry. 4+ years of experience managing teams of data scientists, product analysts, or data analysts. Proven track record in delivering AI/Data Science products in fast-paced, agile environments. Expertise in LLMs, ML Ops, and relevant design architecture elements. Hands-on experience in building agents and leveraging emerging technologies within Microsoft and Google. Strong customer-centric mindset with a focus on value creation and adoption. What will be your key responsibilities? Lead Innovation: Serve as the key lead for Gen AI and LLM Ops within the Mars Snacking Community, driving transformative projects that redefine how we leverage data. Design Next-Gen Solutions: Apply your strong expertise in AI to design, prototype, and build next-generation ML engines and services that will have a lasting impact on our business. Collaborate Across Functions: Work closely with Data Engineering and DevOps teams to architect solutions that meet diverse business needs, ensuring seamless integration and functionality. Mentor and Inspire: Guide and mentor a talented team of data scientists, fostering a culture of innovation and excellence while creating fit-for-purpose solutions using cutting-edge analytical methodologies. Drive Strategic Insights: Utilize machine learning techniques and visualizations to derive actionable insights from data, empowering decision-making at all levels of the organization. Performance Monitoring: Define key performance indicators (KPIs) and implement monitoring systems for deployed data platforms, ensuring efficient operations and continuous improvement. What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. Join a purpose-driven company, where we're striving to build the world we want tomorrow, today. Best-in-class learning and development support from day one, including access to our in-house Mars University. An industry-competitive salary and benefits package, including a company bonus. Be part of a transformative journey that not only enhances your career but also contributes to the future of Mars Snacking and the broader industry. Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.
Job Description: This role is a project-based transformation role and has a current expected end date of '31st December 2026'. As we move closer to '31st December 2026', we will work with you to explore other opportunities for employment within the Mars family of companies. If a suitable alternative role is not available at that time, your employment will end. Do you feel comfortable entering recruitment for this role, given that it is project-funded and would require you to secure your next full-time or promotional opportunity with Mars before December 31, 2026? Join the Chief Data Office (CDO) at Mars, where we leverage data and insights to tackle critical business challenges and fuel growth within our Snacking division. This is your chance to lead the charge into the dynamic realm of Generative AI, spearheading innovative projects that encompass a wide range of use cases-from creative applications to process optimization. In this pivotal role, you will engage with senior stakeholders at the VP level and present your insights to executives, crafting compelling narratives that highlight the business value of our Mar GPT initiatives. You will be instrumental in establishing frameworks, guidelines, and standards that empower our teams to fully harness the potential of Generative AI, driving significant efficiencies and innovation across the organization. As a hands-on product owner, you will guide the broader Data Science community through complex Gen AI and LLMOps projects, ensuring successful planning and execution. Your expertise will be key in navigating the ever-evolving landscape of Generative AI, making a lasting impact on our Snacking ecosystem. What are we looking for? Bachelor's Degree with a minimum of 5 years of experience required; Master's degree preferred. 7+ years of experience in a quantitative role, preferably within the CPG or retail industry. 4+ years of experience managing teams of data scientists, product analysts, or data analysts. Proven track record in delivering AI/Data Science products in fast-paced, agile environments. Expertise in LLMs, ML Ops, and relevant design architecture elements. Hands-on experience in building agents and leveraging emerging technologies within Microsoft and Google. Strong customer-centric mindset with a focus on value creation and adoption. What will be your key responsibilities? Lead Innovation: Serve as the key lead for Gen AI and LLM Ops within the Mars Snacking Community, driving transformative projects that redefine how we leverage data. Design Next-Gen Solutions: Apply your strong expertise in AI to design, prototype, and build next-generation ML engines and services that will have a lasting impact on our business. Collaborate Across Functions: Work closely with Data Engineering and DevOps teams to architect solutions that meet diverse business needs, ensuring seamless integration and functionality. Mentor and Inspire: Guide and mentor a talented team of data scientists, fostering a culture of innovation and excellence while creating fit-for-purpose solutions using cutting-edge analytical methodologies. Drive Strategic Insights: Utilize machine learning techniques and visualizations to derive actionable insights from data, empowering decision-making at all levels of the organization. Performance Monitoring: Define key performance indicators (KPIs) and implement monitoring systems for deployed data platforms, ensuring efficient operations and continuous improvement. What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. Join a purpose-driven company, where we're striving to build the world we want tomorrow, today. Best-in-class learning and development support from day one, including access to our in-house Mars University. An industry-competitive salary and benefits package, including a company bonus. Be part of a transformative journey that not only enhances your career but also contributes to the future of Mars Snacking and the broader industry. Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.
Jun 16, 2025
Full time
Job Description: This role is a project-based transformation role and has a current expected end date of '31st December 2026'. As we move closer to '31st December 2026', we will work with you to explore other opportunities for employment within the Mars family of companies. If a suitable alternative role is not available at that time, your employment will end. Do you feel comfortable entering recruitment for this role, given that it is project-funded and would require you to secure your next full-time or promotional opportunity with Mars before December 31, 2026? Join the Chief Data Office (CDO) at Mars, where we leverage data and insights to tackle critical business challenges and fuel growth within our Snacking division. This is your chance to lead the charge into the dynamic realm of Generative AI, spearheading innovative projects that encompass a wide range of use cases-from creative applications to process optimization. In this pivotal role, you will engage with senior stakeholders at the VP level and present your insights to executives, crafting compelling narratives that highlight the business value of our Mar GPT initiatives. You will be instrumental in establishing frameworks, guidelines, and standards that empower our teams to fully harness the potential of Generative AI, driving significant efficiencies and innovation across the organization. As a hands-on product owner, you will guide the broader Data Science community through complex Gen AI and LLMOps projects, ensuring successful planning and execution. Your expertise will be key in navigating the ever-evolving landscape of Generative AI, making a lasting impact on our Snacking ecosystem. What are we looking for? Bachelor's Degree with a minimum of 5 years of experience required; Master's degree preferred. 7+ years of experience in a quantitative role, preferably within the CPG or retail industry. 4+ years of experience managing teams of data scientists, product analysts, or data analysts. Proven track record in delivering AI/Data Science products in fast-paced, agile environments. Expertise in LLMs, ML Ops, and relevant design architecture elements. Hands-on experience in building agents and leveraging emerging technologies within Microsoft and Google. Strong customer-centric mindset with a focus on value creation and adoption. What will be your key responsibilities? Lead Innovation: Serve as the key lead for Gen AI and LLM Ops within the Mars Snacking Community, driving transformative projects that redefine how we leverage data. Design Next-Gen Solutions: Apply your strong expertise in AI to design, prototype, and build next-generation ML engines and services that will have a lasting impact on our business. Collaborate Across Functions: Work closely with Data Engineering and DevOps teams to architect solutions that meet diverse business needs, ensuring seamless integration and functionality. Mentor and Inspire: Guide and mentor a talented team of data scientists, fostering a culture of innovation and excellence while creating fit-for-purpose solutions using cutting-edge analytical methodologies. Drive Strategic Insights: Utilize machine learning techniques and visualizations to derive actionable insights from data, empowering decision-making at all levels of the organization. Performance Monitoring: Define key performance indicators (KPIs) and implement monitoring systems for deployed data platforms, ensuring efficient operations and continuous improvement. What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. Join a purpose-driven company, where we're striving to build the world we want tomorrow, today. Best-in-class learning and development support from day one, including access to our in-house Mars University. An industry-competitive salary and benefits package, including a company bonus. Be part of a transformative journey that not only enhances your career but also contributes to the future of Mars Snacking and the broader industry. Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.
The Artificial General Intelligence (AGI) team is seeking a dedicated, skilled, and innovative Applied Scientist with a robust background in deep learning to build industry-leading technology with Large Language Models (LLMs) and Multimodal systems. Key job responsibilities As part of the AGI team, the Applied Scientist will collaborate closely with talented colleagues to lead the development of advanced approaches and modeling techniques, driving forward the frontier of LLM technology. This includes innovating model-in-the-loop and human-in-the-loop approaches to ensure the collection of high-quality data, safeguarding data privacy and security for LLM training, and more. The Applied Scientist will also have a direct impact on enhancing customer experiences through state-of-the-art products and services. A day in the life An Applied Scientist with the AGI team will support the science solution design, run experiments, research new algorithms, and find new ways of optimizing the customer experience, while setting examples for the team on good science practices and standards. Besides theoretical analysis and innovation, an Applied Scientist will also work closely with talented engineers and scientists to implement algorithms and models effectively. The ideal candidate should be passionate about delivering experiences that delight customers and creating robust solutions. They will also create reliable, scalable, and high-performance products that require exceptional technical expertise and a sound understanding of Machine Learning. BASIC QUALIFICATIONS PhD, or Master's degree with 4+ years of experience in building machine learning models or developing algorithms for business applications Experience programming in Java, C++, Python, or related languages Experience with neural deep learning methods and machine learning Experience with Large Language Models (LLMs) or multimodal systems PREFERRED QUALIFICATIONS PhD in Mathematics, Statistics, Engineering, Machine Learning, Computer Science, or related discipline 4+ years of industry or postdoctoral experience in machine learning Experience with patents or publications at top-tier peer-reviewed conferences or journals Experience with popular deep learning frameworks such as MxNet, PyTorch, or TensorFlow Experience in building large-scale machine learning systems Proficiency in state-of-the-art Natural Language Processing (NLP) and Computer Vision (CV) deep learning models Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Jun 16, 2025
Full time
The Artificial General Intelligence (AGI) team is seeking a dedicated, skilled, and innovative Applied Scientist with a robust background in deep learning to build industry-leading technology with Large Language Models (LLMs) and Multimodal systems. Key job responsibilities As part of the AGI team, the Applied Scientist will collaborate closely with talented colleagues to lead the development of advanced approaches and modeling techniques, driving forward the frontier of LLM technology. This includes innovating model-in-the-loop and human-in-the-loop approaches to ensure the collection of high-quality data, safeguarding data privacy and security for LLM training, and more. The Applied Scientist will also have a direct impact on enhancing customer experiences through state-of-the-art products and services. A day in the life An Applied Scientist with the AGI team will support the science solution design, run experiments, research new algorithms, and find new ways of optimizing the customer experience, while setting examples for the team on good science practices and standards. Besides theoretical analysis and innovation, an Applied Scientist will also work closely with talented engineers and scientists to implement algorithms and models effectively. The ideal candidate should be passionate about delivering experiences that delight customers and creating robust solutions. They will also create reliable, scalable, and high-performance products that require exceptional technical expertise and a sound understanding of Machine Learning. BASIC QUALIFICATIONS PhD, or Master's degree with 4+ years of experience in building machine learning models or developing algorithms for business applications Experience programming in Java, C++, Python, or related languages Experience with neural deep learning methods and machine learning Experience with Large Language Models (LLMs) or multimodal systems PREFERRED QUALIFICATIONS PhD in Mathematics, Statistics, Engineering, Machine Learning, Computer Science, or related discipline 4+ years of industry or postdoctoral experience in machine learning Experience with patents or publications at top-tier peer-reviewed conferences or journals Experience with popular deep learning frameworks such as MxNet, PyTorch, or TensorFlow Experience in building large-scale machine learning systems Proficiency in state-of-the-art Natural Language Processing (NLP) and Computer Vision (CV) deep learning models Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
This is a fantastic opportunity to join market-leading UK AI company, Luminance. Named in Tech Nation's prestigious Future Fifty list and the recipient of two Queen's Awards, Luminance is the world's most advanced AI technology which is disrupting the legal profession. Luminance is looking for dedicated and enthusiastic individuals with a strong academic background in Artificial Intelligence or a related field to join their R&D team based in Cambridge, UK. Successful candidates will be part of a small, dynamic team responsible for: prototyping, building and implementing new approaches to AI problems; and determining output quality, efficiency, and feasibility compared with other techniques in a data-driven manner. This role is open to both graduates with a willingness to learn the desired skills, and more senior candidates with proven, prior experience in them. If you are excited about this role but your skill or experience doesn't perfectly align with the job description, we encourage you to apply anyway. At Luminance we are dedicated to building and promoting an inclusive workplace where everyone can flourish. You might just be who we're looking for, for this role or another - enthusiasm is by far the most important requirement for any applicant to Luminance! Desired Skills Strong analytical skills and ability to approach tasks in a scientific manner Data science skills, including handling of large data sets, modelling and evaluation Good understanding of software engineering concepts, particularly with machine learning development Experience with machine learning Python frameworks such as PyTorch, Tensorflow and Scikit-Learn For more senior candidates: Understanding of, including published work within, related academic fields such as NLP, Computer Vision or Deep Learning Relevant industry experience with demonstrable impact in a commercial setting Significant practical usage of modern ML areas (NLP, Transformers, LLMs, NER, GANs, Reinforcement Learning, etc.) Requirements Master's degree or Postgraduate (preferred) qualification from a Top 200 Global University, preferably in a technical subject
Jun 15, 2025
Full time
This is a fantastic opportunity to join market-leading UK AI company, Luminance. Named in Tech Nation's prestigious Future Fifty list and the recipient of two Queen's Awards, Luminance is the world's most advanced AI technology which is disrupting the legal profession. Luminance is looking for dedicated and enthusiastic individuals with a strong academic background in Artificial Intelligence or a related field to join their R&D team based in Cambridge, UK. Successful candidates will be part of a small, dynamic team responsible for: prototyping, building and implementing new approaches to AI problems; and determining output quality, efficiency, and feasibility compared with other techniques in a data-driven manner. This role is open to both graduates with a willingness to learn the desired skills, and more senior candidates with proven, prior experience in them. If you are excited about this role but your skill or experience doesn't perfectly align with the job description, we encourage you to apply anyway. At Luminance we are dedicated to building and promoting an inclusive workplace where everyone can flourish. You might just be who we're looking for, for this role or another - enthusiasm is by far the most important requirement for any applicant to Luminance! Desired Skills Strong analytical skills and ability to approach tasks in a scientific manner Data science skills, including handling of large data sets, modelling and evaluation Good understanding of software engineering concepts, particularly with machine learning development Experience with machine learning Python frameworks such as PyTorch, Tensorflow and Scikit-Learn For more senior candidates: Understanding of, including published work within, related academic fields such as NLP, Computer Vision or Deep Learning Relevant industry experience with demonstrable impact in a commercial setting Significant practical usage of modern ML areas (NLP, Transformers, LLMs, NER, GANs, Reinforcement Learning, etc.) Requirements Master's degree or Postgraduate (preferred) qualification from a Top 200 Global University, preferably in a technical subject
