Who Are We? Taking care of our customers, our communities and each other. That's the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 160 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it. Target Openings 1 What Is the Opportunity? We are looking for an Onshore Renewable Energy Underwriter to join our successful Renewable Energy Underwriting team in London. We have big ambitions for the team and you'll be responsible for supporting the management of the book's profitability by underwriting and processing new business, renewals and mid term adjustments and monitoring rate adequacy. Travelers Europe currently offers flexibility to employees who wish to work on a hybrid basis in accordance with our Hybrid Work Arrangements Policy. This entails full time employees working three days a week in the office and two days at home (or pro rata for part-time employees). This policy may be changed at the Company's discretion. What Will You Do? Support the overall profitability, growth and retention of the Line of Business line and consistency of all related underwriting initiatives. Ensures that business is written in accordance with the Company's policies, procedures and controls (including audit requirements) at all times, and adheres to Lloyds Underwriting Management Standards ensuring business is only accepted in accordance with: individual underwriting authority and, where relevant, with approval under the Lloyds Individual Registration Byelaw. the Unit's business plan for the relevant year. Support the development of assigned Line of Business and services such as researching and identifying target business, competitor information, industry and economic factors across the business. Utilise appropriate systems to accurately enter quotes, risks and endorsements, so as to ensure correct management, statistical and regulatory reporting. May gather data and prepare reports to support the professional execution of corporate/business underwriting policies/standards. Monitor market factors and world affairs as part of research and development of new opportunities. Promote Travelers Line of Business, distribution strategy and philosophy and provide guidance on the Company's underwriting philosophy, procedures and requirements by building strong partnerships with Agents, Brokers and Customers. Provide guidance, mentoring and coaching to others as appropriate. Each individual has responsibility for: Acting in accordance with Travelers Companies' Code of Business Conduct and Ethics, Business Excellence Policy and all HRpolicies and procedures. Delivering high quality service to brokers and customers in line with our service standards. Complying with all legal, insurance, regulatory, Lloyd's and Sarbanes Oxley rules and guidelines. Acting at all time in compliance with the Treating Customers Fairly outcomes. Working as a team with colleagues within the Company and the Enterprise. Developing strong relationships with our key supporting brokers and customers and all other key external stakeholders. Adhering to the Company's policies and procedures. Keeping adequate records of all transactions undertaken with brokers, customers, and all other parties. Continually looking for improvement both from a personal and business perspective. Perform other duties as assigned. What Will Our Ideal Candidate Have? Experience within the Lloyd's market preferred, with a basic understanding of the internal and external factors which impact the market. Underwriting experience preferred. Degree preferred. Able to demonstrate emerging technical proficiency and application of knowledge commensurate to your underwriting authority. Able to make sound quoting and pricing decisions that are in the Company's best interests. Intermediate knowledge and ability in respect of judgment, decision making, communication and strong team work. Demonstrates Intermediate knowledge and experience in respect of Relationship Management: Seeks out, builds, fosters and maintains productive relationships or alliances to meet goals and achieve objectives. Demonstrates Intermediate knowledge and experience in respect of Analytical Thinking/Financial Acumen: Identifies current or future problems or opportunities, analyses, synthesises and compares information to understand issues, identifies cause/effect relationships, and explores alternatives to support sound decision making. Utilises understanding of finance and accounting principles to identify the impact of responsible underwriting decisions on the overall profitability of the business. Demonstrates Intermediate knowledge and experience in respect of Product/Technical: Demonstrates technical proficiency and application of knowledge commensurate to his/her underwriting authority. Demonstrates Intermediate knowledge and experience in respect of Business Perspective: Uses knowledge of internal and external factors that impact the Lloyd's Market to make decisions. Expected to be studying towards ACII qualification. What is a Must Have? Previous Property and Casualty insurance experience in either an underwriting, operational or broker capacity. Secondary level education or equivalent required. What Is in It for You? Private Medical Insurance: On commencement of employment, you are eligible for single cover provided by Travelers, with the option to add cover for your dependents, at your expense through payroll deduction. Retirement: Travelers will make a core contribution of a percentage of salary to your Pension Plan. Additionally, if you decide to contribute to the plan, you will receive an increased company contribution. Holiday Entitlement: Start your career at Travelers with a minimum of 25 days holiday entitlement annually, plus the opportunity to purchase additional days to allow for up to a total of 35 holidays per year. Wellness Programme: The Travelers wellness programme is comprised of tools, discounts and resources that empower you to achieve your wellness goals and caregiving needs. In addition, our mental health programme provides access to free professional counseling services and other resources that support your daily life needs. Volunteer Encouragement: We have a deep commitment to the communities we serve and encourage our employees to get involved. Travelers has a Matching Gift and Volunteer Rewards programme that enables you to give back to the charity of your choice. Employment Practices Travelers is an equal opportunity employer. We value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences. If you are a candidate and have specific questions regarding the physical requirements of this role, please send us an email so we may assist you. Travelers reserves the right to fill this position at a level above or below the level included in this posting. To learn more about our comprehensive benefit programs please visit 0
Jul 18, 2025
Full time
Who Are We? Taking care of our customers, our communities and each other. That's the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 160 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it. Target Openings 1 What Is the Opportunity? We are looking for an Onshore Renewable Energy Underwriter to join our successful Renewable Energy Underwriting team in London. We have big ambitions for the team and you'll be responsible for supporting the management of the book's profitability by underwriting and processing new business, renewals and mid term adjustments and monitoring rate adequacy. Travelers Europe currently offers flexibility to employees who wish to work on a hybrid basis in accordance with our Hybrid Work Arrangements Policy. This entails full time employees working three days a week in the office and two days at home (or pro rata for part-time employees). This policy may be changed at the Company's discretion. What Will You Do? Support the overall profitability, growth and retention of the Line of Business line and consistency of all related underwriting initiatives. Ensures that business is written in accordance with the Company's policies, procedures and controls (including audit requirements) at all times, and adheres to Lloyds Underwriting Management Standards ensuring business is only accepted in accordance with: individual underwriting authority and, where relevant, with approval under the Lloyds Individual Registration Byelaw. the Unit's business plan for the relevant year. Support the development of assigned Line of Business and services such as researching and identifying target business, competitor information, industry and economic factors across the business. Utilise appropriate systems to accurately enter quotes, risks and endorsements, so as to ensure correct management, statistical and regulatory reporting. May gather data and prepare reports to support the professional execution of corporate/business underwriting policies/standards. Monitor market factors and world affairs as part of research and development of new opportunities. Promote Travelers Line of Business, distribution strategy and philosophy and provide guidance on the Company's underwriting philosophy, procedures and requirements by building strong partnerships with Agents, Brokers and Customers. Provide guidance, mentoring and coaching to others as appropriate. Each individual has responsibility for: Acting in accordance with Travelers Companies' Code of Business Conduct and Ethics, Business Excellence Policy and all HRpolicies and procedures. Delivering high quality service to brokers and customers in line with our service standards. Complying with all legal, insurance, regulatory, Lloyd's and Sarbanes Oxley rules and guidelines. Acting at all time in compliance with the Treating Customers Fairly outcomes. Working as a team with colleagues within the Company and the Enterprise. Developing strong relationships with our key supporting brokers and customers and all other key external stakeholders. Adhering to the Company's policies and procedures. Keeping adequate records of all transactions undertaken with brokers, customers, and all other parties. Continually looking for improvement both from a personal and business perspective. Perform other duties as assigned. What Will Our Ideal Candidate Have? Experience within the Lloyd's market preferred, with a basic understanding of the internal and external factors which impact the market. Underwriting experience preferred. Degree preferred. Able to demonstrate emerging technical proficiency and application of knowledge commensurate to your underwriting authority. Able to make sound quoting and pricing decisions that are in the Company's best interests. Intermediate knowledge and ability in respect of judgment, decision making, communication and strong team work. Demonstrates Intermediate knowledge and experience in respect of Relationship Management: Seeks out, builds, fosters and maintains productive relationships or alliances to meet goals and achieve objectives. Demonstrates Intermediate knowledge and experience in respect of Analytical Thinking/Financial Acumen: Identifies current or future problems or opportunities, analyses, synthesises and compares information to understand issues, identifies cause/effect relationships, and explores alternatives to support sound decision making. Utilises understanding of finance and accounting principles to identify the impact of responsible underwriting decisions on the overall profitability of the business. Demonstrates Intermediate knowledge and experience in respect of Product/Technical: Demonstrates technical proficiency and application of knowledge commensurate to his/her underwriting authority. Demonstrates Intermediate knowledge and experience in respect of Business Perspective: Uses knowledge of internal and external factors that impact the Lloyd's Market to make decisions. Expected to be studying towards ACII qualification. What is a Must Have? Previous Property and Casualty insurance experience in either an underwriting, operational or broker capacity. Secondary level education or equivalent required. What Is in It for You? Private Medical Insurance: On commencement of employment, you are eligible for single cover provided by Travelers, with the option to add cover for your dependents, at your expense through payroll deduction. Retirement: Travelers will make a core contribution of a percentage of salary to your Pension Plan. Additionally, if you decide to contribute to the plan, you will receive an increased company contribution. Holiday Entitlement: Start your career at Travelers with a minimum of 25 days holiday entitlement annually, plus the opportunity to purchase additional days to allow for up to a total of 35 holidays per year. Wellness Programme: The Travelers wellness programme is comprised of tools, discounts and resources that empower you to achieve your wellness goals and caregiving needs. In addition, our mental health programme provides access to free professional counseling services and other resources that support your daily life needs. Volunteer Encouragement: We have a deep commitment to the communities we serve and encourage our employees to get involved. Travelers has a Matching Gift and Volunteer Rewards programme that enables you to give back to the charity of your choice. Employment Practices Travelers is an equal opportunity employer. We value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences. If you are a candidate and have specific questions regarding the physical requirements of this role, please send us an email so we may assist you. Travelers reserves the right to fill this position at a level above or below the level included in this posting. To learn more about our comprehensive benefit programs please visit 0
Business Intel Engineer II, Global Operations - Artificial Intelligence Want to join the Earth's most customer centric company? Do you like to dive deep to understand problems? Are you someone who likes to challenge Status Quo? Do you strive to excel at goals assigned to you? If yes, we have opportunities for you. Global Operations - Artificial Intelligence (GO-AI) at Amazon is looking to hire candidates who can excel in a fast-paced dynamic environment. Are you somebody that likes to use and analyze big data to drive business decisions? Do you enjoy converting data into insights that will be used to enhance customer decisions worldwide for business leaders? Do you want to be part of the data team which measures the pulse of innovative machine vision-based projects? If your answer is yes, join our team. GO-AI is looking for a motivated individual with strong skills and experience in resource utilization planning, process optimization and execution of scalable and robust operational mechanisms, to join the GO-AI Ops DnA team. In this position you will be responsible for supporting our sites to build solutions for the rapidly expanding GO-AI team. The role requires the ability to work with a variety of key stakeholders across job functions with multiple sites. We are looking for an entrepreneurial and analytical program manager, who is passionate about their work, understands how to manage service levels across multiple skills/programs, and who is willing to move fast and experiment often. Key job responsibilities • Ability to maintain and refine straightforward ETL and write secure, stable, testable, maintainable code with minimal defects and automate manual processes. • Proficiency in one or more industry analytics visualization tools (e.g. Excel, Tableau/Quicksight/PowerBI) and, as needed, statistical methods (e.g. t-test, Chi-squared) to deliver actionable insights to stakeholders. • Building and owning small to mid-size BI solutions with high accuracy and on time delivery using data sets, queries, reports, dashboards, analyses or components of larger solutions to answer straightforward business questions with data incorporating business intelligence best practices, data management fundamentals, and analysis principles. • Good understanding of the relevant data lineage: including sources of data; how metrics are aggregated; and how the resulting business intelligence is consumed, interpreted and acted upon by the business where the end product enables effective, data-driven business decisions. • Having high responsibility for the code, queries, reports and analyses that are inherited or produced and having analyses and code reviewed periodically. • Effective partnering with peer BIEs and others in your team to troubleshoot, research root causes, propose solutions, by either take ownership for their resolution or ensure a clear hand-off to the right owner. About the team The Global Operations - Artificial Intelligence (GO-AI) team is an initiative, which remotely handles exceptions in the Amazon Robotic Fulfillment Centers Globally. GO-AI seeks to complement automated vision based decision-making technologies by providing remote human support for the subset of tasks which require higher cognitive ability and cannot be processed through automated decision making with high confidence. This team provides end-to-end solutions through inbuilt competencies of Operations and strong central specialized teams to deliver programs at Amazon scale. It is operating multiple programs and other new initiatives in partnership with global technology and operations teams. BASIC QUALIFICATIONS - 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling PREFERRED QUALIFICATIONS - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets 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.
Jul 18, 2025
Full time
Business Intel Engineer II, Global Operations - Artificial Intelligence Want to join the Earth's most customer centric company? Do you like to dive deep to understand problems? Are you someone who likes to challenge Status Quo? Do you strive to excel at goals assigned to you? If yes, we have opportunities for you. Global Operations - Artificial Intelligence (GO-AI) at Amazon is looking to hire candidates who can excel in a fast-paced dynamic environment. Are you somebody that likes to use and analyze big data to drive business decisions? Do you enjoy converting data into insights that will be used to enhance customer decisions worldwide for business leaders? Do you want to be part of the data team which measures the pulse of innovative machine vision-based projects? If your answer is yes, join our team. GO-AI is looking for a motivated individual with strong skills and experience in resource utilization planning, process optimization and execution of scalable and robust operational mechanisms, to join the GO-AI Ops DnA team. In this position you will be responsible for supporting our sites to build solutions for the rapidly expanding GO-AI team. The role requires the ability to work with a variety of key stakeholders across job functions with multiple sites. We are looking for an entrepreneurial and analytical program manager, who is passionate about their work, understands how to manage service levels across multiple skills/programs, and who is willing to move fast and experiment often. Key job responsibilities • Ability to maintain and refine straightforward ETL and write secure, stable, testable, maintainable code with minimal defects and automate manual processes. • Proficiency in one or more industry analytics visualization tools (e.g. Excel, Tableau/Quicksight/PowerBI) and, as needed, statistical methods (e.g. t-test, Chi-squared) to deliver actionable insights to stakeholders. • Building and owning small to mid-size BI solutions with high accuracy and on time delivery using data sets, queries, reports, dashboards, analyses or components of larger solutions to answer straightforward business questions with data incorporating business intelligence best practices, data management fundamentals, and analysis principles. • Good understanding of the relevant data lineage: including sources of data; how metrics are aggregated; and how the resulting business intelligence is consumed, interpreted and acted upon by the business where the end product enables effective, data-driven business decisions. • Having high responsibility for the code, queries, reports and analyses that are inherited or produced and having analyses and code reviewed periodically. • Effective partnering with peer BIEs and others in your team to troubleshoot, research root causes, propose solutions, by either take ownership for their resolution or ensure a clear hand-off to the right owner. About the team The Global Operations - Artificial Intelligence (GO-AI) team is an initiative, which remotely handles exceptions in the Amazon Robotic Fulfillment Centers Globally. GO-AI seeks to complement automated vision based decision-making technologies by providing remote human support for the subset of tasks which require higher cognitive ability and cannot be processed through automated decision making with high confidence. This team provides end-to-end solutions through inbuilt competencies of Operations and strong central specialized teams to deliver programs at Amazon scale. It is operating multiple programs and other new initiatives in partnership with global technology and operations teams. BASIC QUALIFICATIONS - 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling PREFERRED QUALIFICATIONS - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets 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.
Location: Crawley, United Kingdom In fast changing markets, customers worldwide rely on Thales. Thales is a business where brilliant people from all over the world come together to share ideas and inspire each other. In aerospace, transportation, defence, security and space, our architects design innovative solutions that make our tomorrow's possible.Together we offer fantastic opportunities for committed employees to learn and develop their career with us. At Thales UK, we research, develop, and supply technology and services that impact the lives of millions of people each day to make life better, and keep us safer. We innovate across the major industries of Aerospace, Defence, Security and Space. Your health and well-being matters to us and that's why we offer you the flexibility to do what's important to you; whether that's part time hours, job sharing, home working, or the ability to flex your start and finish times. Where possible, we support a working pattern that suits your lifestyle and helps you reach your ambitions. Job title: Head of Services Operations and Performance (1 year fixed-term) Location: Crawley Are you a dynamic leader with a passion for driving strategic innovation and operational performance? Do you thrive in environments where you can make a significant impact on customer satisfaction and team development? If so, we have an exciting opportunity for you! Role Overview: We are seeking a visionary leader to oversee and inspire a diverse team of 150 professionals dedicated to Asset Management, Field Service Engineering, Product Support, and Sale Order Management. Your leadership will be pivotal in creating a safe, integrity-driven work environment while actively participating in the personal and professional growth of your team. Strategic Leadership & Continuous Improvement: Shape and execute strategic and capability plans to enhance Customer Service Delivery. Champion Lean Six Sigma and other operational competitiveness practices to drive efficiency and innovation. Cultivate dedicated teams to ensure outstanding Customer Satisfaction and enhanced performance. Foster the exchange of best practices and leverage synergies across Thales UK CBU's, Domains, and Support Functions. Delivery Excellence: Ensure and exceed all SLAs and KPIs for our contracted Services Delivery Operations. Align with the strategic goals set by the Services Director of Thales UK. Lead transformational activities that secure lasting growth, delighting our customers and fortifying our infrastructure. Key duties: Support to Programs: To deliver customer services operations and show with evidence that they are successful and timely To support forward planning activities for Services activities and to support the generation of relevant planning in Industry, Procurement, Trade compliance and logistics. To support the generation of cost and schedule information and manage the review of that data, ensuring great performance. To ensure service activities are delivered on time and to budget, managing work packages and cost centres where required and reporting regularly to TUK Services Director. To take responsibility for Service Solution Architecture team, ensuring currency and continual improvement of service design To take responsibility to professionalise the Service Delivery Management team, specialising in co-ordination of SCC / Support functions to guarantee effective and efficient delivery To identify, manage and mitigate any services capability deficiencies to de-risk successful delivery through implementation of transformation projects To build, project and promote a positive image of Services and our strategy/delivery To promote and ensure best practice in Services Activities Development of Staff: To support team building, within and outside your usual job family and relationships. To support a pro-active, 'can-do' attitude within the services Function and encourage innovative thinking. To assist in the development of your colleagues To knowledge share and consent to shadowing To develop your own knowledge constantly and demonstrate this Test and iterate new ways of working with the Services Operations team to improve effectiveness and employee engagement scores Development of Function: To provide feedback on the efficiency and effectiveness of the function. To propose interventions that will result in a better result for Thales, always to question why and seek efficiency across the UK. To create solutions in a manner consistent with Chorus II. To participate in the selection design and validation of new tools or approaches. Process and Techniques: To propose and deliver enhancements to Services Processes and techniques to ensure great customer outcomes. To be familiar with and adhere to the processes and techniques employed by the Function. To support the review of the processes and techniques to ensure efficiency and effectiveness. To ensure that tools sets, approaches or functional decisions support our processes. Metrics: To define, manage, organise and support the maintenance of performance metrics for initiatives. Bid Estimating: To generate estimates for work and clearly define the need for support ahead of time (budgeting support also) Quality Assurance: To support and assist audit and review activities (internal and external) on company processes. Communication: To ensure a flow of information of the main issues and to find meaningful ways to communicate your project and plan. To share knowledge across the Function and projects. To actively raise concerns and ensure that to drive the agenda for change and new service methodology adoption About you: Qualifications & experience: HND, Degree or equivalent in a Software/IT/IS, engineering or business subject (or equivalent, including relevant working experience) Experience in a Customer Services and/or Military or Civilian Operations role Behaviours: Excellent communication skills (written and oral) and an ability to work co-operatively with others, creating and harnessing a diverse and inclusive team spirit within and across other company sites. Ability to work as a team player, able to listen and to discuss solutions with other members of the team Ability to work under pressure and meet tight deadlines with a high attention to detail Develop others in the team through mentoring & sharing knowledge Drives to achieve high standards, actively seeks improvement Flexible and adaptable to fast paced changing environments Attention to detail, a high level of accuracy, self-motivating and the ability to plan and organise own tasks Promotes company interests at all times helping to create a positive working environment Demonstrate behaviours appropriate to the LR grade and consistent with Thales behaviours. Additional Requirements for this role: A Services and/or change leadership background is preferred Strong examples of Leading People through complex change successfully and demonstrating an ability to lead and engage across all stakeholders in a team/project/business. Connect with Andreea Burcea, Talent Acquisition Partner who is eager to explore together with you this exciting opportunity. The successful candidate will need full Security Clearance (SC) - For more information and guidance please visit the UKSV website Security Clearance statement Due to the nature of the work that we do at Thales, many of our roles are subject to security restrictions. This role requires you to be a UK National and achieve Security Clearance (SC) without any caveats. It would be advantageous if currently held, however, if not currently held, it is a requirement that the successful applicant undergo, achieve, and maintain SC Clearance prior to commencing employment. If approved by the MOD, a dual national from a Non-ITAR country may be considered. Please visit the UKSV website for further guidance. To be eligible for full SC, you generally need to have resided in the UK for the last 5 years. In some circumstances, a minimum of 3 years' residence in the UK over the last 5 years may be accepted, with additional overseas checks. For further details of the evidence required to apply for security clearance please follow this link . What We Can Offer We're committed to giving you opportunities to be your best. We believe in embracing the passion and potential of our people, and to achieve this we offer market leading training, development and experiences, along with the opportunity to be mentored and coached by some of the smartest minds in the industry. We hire from within as our first priority, so you'll have a variety of opportunities within our diverse, global organisation. In line with Thales' Baseline Security requirements, candidates will be asked to provide evidence of identity, eligibility to work in the UK and employment and/or education history for up to three years. Some vacancies may require full Security Clearance which can require further evidence to be provided . click apply for full job details
Jul 18, 2025
Full time
Location: Crawley, United Kingdom In fast changing markets, customers worldwide rely on Thales. Thales is a business where brilliant people from all over the world come together to share ideas and inspire each other. In aerospace, transportation, defence, security and space, our architects design innovative solutions that make our tomorrow's possible.Together we offer fantastic opportunities for committed employees to learn and develop their career with us. At Thales UK, we research, develop, and supply technology and services that impact the lives of millions of people each day to make life better, and keep us safer. We innovate across the major industries of Aerospace, Defence, Security and Space. Your health and well-being matters to us and that's why we offer you the flexibility to do what's important to you; whether that's part time hours, job sharing, home working, or the ability to flex your start and finish times. Where possible, we support a working pattern that suits your lifestyle and helps you reach your ambitions. Job title: Head of Services Operations and Performance (1 year fixed-term) Location: Crawley Are you a dynamic leader with a passion for driving strategic innovation and operational performance? Do you thrive in environments where you can make a significant impact on customer satisfaction and team development? If so, we have an exciting opportunity for you! Role Overview: We are seeking a visionary leader to oversee and inspire a diverse team of 150 professionals dedicated to Asset Management, Field Service Engineering, Product Support, and Sale Order Management. Your leadership will be pivotal in creating a safe, integrity-driven work environment while actively participating in the personal and professional growth of your team. Strategic Leadership & Continuous Improvement: Shape and execute strategic and capability plans to enhance Customer Service Delivery. Champion Lean Six Sigma and other operational competitiveness practices to drive efficiency and innovation. Cultivate dedicated teams to ensure outstanding Customer Satisfaction and enhanced performance. Foster the exchange of best practices and leverage synergies across Thales UK CBU's, Domains, and Support Functions. Delivery Excellence: Ensure and exceed all SLAs and KPIs for our contracted Services Delivery Operations. Align with the strategic goals set by the Services Director of Thales UK. Lead transformational activities that secure lasting growth, delighting our customers and fortifying our infrastructure. Key duties: Support to Programs: To deliver customer services operations and show with evidence that they are successful and timely To support forward planning activities for Services activities and to support the generation of relevant planning in Industry, Procurement, Trade compliance and logistics. To support the generation of cost and schedule information and manage the review of that data, ensuring great performance. To ensure service activities are delivered on time and to budget, managing work packages and cost centres where required and reporting regularly to TUK Services Director. To take responsibility for Service Solution Architecture team, ensuring currency and continual improvement of service design To take responsibility to professionalise the Service Delivery Management team, specialising in co-ordination of SCC / Support functions to guarantee effective and efficient delivery To identify, manage and mitigate any services capability deficiencies to de-risk successful delivery through implementation of transformation projects To build, project and promote a positive image of Services and our strategy/delivery To promote and ensure best practice in Services Activities Development of Staff: To support team building, within and outside your usual job family and relationships. To support a pro-active, 'can-do' attitude within the services Function and encourage innovative thinking. To assist in the development of your colleagues To knowledge share and consent to shadowing To develop your own knowledge constantly and demonstrate this Test and iterate new ways of working with the Services Operations team to improve effectiveness and employee engagement scores Development of Function: To provide feedback on the efficiency and effectiveness of the function. To propose interventions that will result in a better result for Thales, always to question why and seek efficiency across the UK. To create solutions in a manner consistent with Chorus II. To participate in the selection design and validation of new tools or approaches. Process and Techniques: To propose and deliver enhancements to Services Processes and techniques to ensure great customer outcomes. To be familiar with and adhere to the processes and techniques employed by the Function. To support the review of the processes and techniques to ensure efficiency and effectiveness. To ensure that tools sets, approaches or functional decisions support our processes. Metrics: To define, manage, organise and support the maintenance of performance metrics for initiatives. Bid Estimating: To generate estimates for work and clearly define the need for support ahead of time (budgeting support also) Quality Assurance: To support and assist audit and review activities (internal and external) on company processes. Communication: To ensure a flow of information of the main issues and to find meaningful ways to communicate your project and plan. To share knowledge across the Function and projects. To actively raise concerns and ensure that to drive the agenda for change and new service methodology adoption About you: Qualifications & experience: HND, Degree or equivalent in a Software/IT/IS, engineering or business subject (or equivalent, including relevant working experience) Experience in a Customer Services and/or Military or Civilian Operations role Behaviours: Excellent communication skills (written and oral) and an ability to work co-operatively with others, creating and harnessing a diverse and inclusive team spirit within and across other company sites. Ability to work as a team player, able to listen and to discuss solutions with other members of the team Ability to work under pressure and meet tight deadlines with a high attention to detail Develop others in the team through mentoring & sharing knowledge Drives to achieve high standards, actively seeks improvement Flexible and adaptable to fast paced changing environments Attention to detail, a high level of accuracy, self-motivating and the ability to plan and organise own tasks Promotes company interests at all times helping to create a positive working environment Demonstrate behaviours appropriate to the LR grade and consistent with Thales behaviours. Additional Requirements for this role: A Services and/or change leadership background is preferred Strong examples of Leading People through complex change successfully and demonstrating an ability to lead and engage across all stakeholders in a team/project/business. Connect with Andreea Burcea, Talent Acquisition Partner who is eager to explore together with you this exciting opportunity. The successful candidate will need full Security Clearance (SC) - For more information and guidance please visit the UKSV website Security Clearance statement Due to the nature of the work that we do at Thales, many of our roles are subject to security restrictions. This role requires you to be a UK National and achieve Security Clearance (SC) without any caveats. It would be advantageous if currently held, however, if not currently held, it is a requirement that the successful applicant undergo, achieve, and maintain SC Clearance prior to commencing employment. If approved by the MOD, a dual national from a Non-ITAR country may be considered. Please visit the UKSV website for further guidance. To be eligible for full SC, you generally need to have resided in the UK for the last 5 years. In some circumstances, a minimum of 3 years' residence in the UK over the last 5 years may be accepted, with additional overseas checks. For further details of the evidence required to apply for security clearance please follow this link . What We Can Offer We're committed to giving you opportunities to be your best. We believe in embracing the passion and potential of our people, and to achieve this we offer market leading training, development and experiences, along with the opportunity to be mentored and coached by some of the smartest minds in the industry. We hire from within as our first priority, so you'll have a variety of opportunities within our diverse, global organisation. In line with Thales' Baseline Security requirements, candidates will be asked to provide evidence of identity, eligibility to work in the UK and employment and/or education history for up to three years. Some vacancies may require full Security Clearance which can require further evidence to be provided . click apply for full job details
Mapbox is the leading real-time location platform for a new generation of location-aware businesses. Mapbox is the only platform that equips organizations with the full set of tools to power the navigation of people, packages, and vehicles everywhere. More than 4 million registered developers have chosen Mapbox because of the platform's flexibility, security and privacy compliance. Organizations use Mapbox applications, data, SDKs and APIs to create customized and immersive experiences that delight their customers. What We Do The Location AI team is working on a product that enables rich, natural, and in-depth explorations about places and all dynamic aspects of the world, continuously refreshed using real-time data from Mapbox. As AI applications become the new primary interface for users, we're building the foundational systems that allow these applications to understand and interact with the physical world in contextually relevant, accurate, and up-to-date ways. Our team is at the forefront of implementing the model context protocol and AI agent infrastructure that powers this new era of spatial intelligence. We focus on designing interfaces between foundational models and geospatial data, enabling agents to reason about location in ways that feel intuitive and grounded. By treating AI apps as our customer, we craft systems that are modular, scalable, and deeply aligned with how agents learn, plan, and assist. What You'll Do Evaluate and implement models, ensuring optimal performance, latency, and privacy for a location agent's natural language understanding. Integrate models into our AI agent framework, enabling agents to interpret and respond to natural language prompts with grounded, context-aware outputs. Help design, develop, and manage our MLOps pipeline for training, evaluating, and deploying models for different use cases, languages, and deployment targets. Collaborate across engineering, product, and design teams to ensure our machine learning and NLP features meet the evolving needs of AI applications and fit within Mapbox's real-time location intelligence ecosystem. Stay at the forefront of NLP and ML research, continuously evaluating and implementing new techniques to enhance our team's capabilities and product user experience. What We Believe are Important Traits for This Role 7+ years of relative industry engineering experience. 5+ years of professional experience in machine learning, focused on NLP and transformer models, with an interest in exploring model context protocols. Technical Proficiency: Strong programming skills in Python, experience with ML frameworks such as PyTorch or TensorFlow, and experience with MLOps and deploying ML models in production environments hosted on AWS. Strong Product Focus: Ability to translate ML capabilities into tangible product features, understanding that your work directly impacts the end-user experience. Practical Problem-Solving: Skill in balancing theoretical knowledge with practical implementation, focusing on solutions that work effectively in real-world, in-car environments. Collaborative Mindset: Willingness to work closely with product, engineering, and design teams to create integrated solutions that meet user needs and business goals. Adaptability and Learning Agility: Enthusiasm for staying current with rapidly evolving ML technologies and ability to quickly apply new learnings to improve our products. Iterative Approach: Comfort with rapid prototyping, testing, and refining models based on real-world feedback and usage data. What We Value In addition to our core values , which are not unique to this position and are necessary for Mapbox leaders: We value high-performing creative individuals who dig into problems and opportunities. We believe in individuals being their whole selves at work. We commit to this through supportive health care, parental leave, flexibility for the things that come up in life, and innovating on how we think about supporting our people. We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company. We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply. By applying for this position, you acknowledge that you have received the Mapbox Non-US Privacy Notice for applicants, which is linked here. Completing this application requires you to provide personal data, such as your name and contact information, which is mandatory for Mapbox to process your application. We are committed to a fair and equitable hiring process. We do not discriminate against any protected class.
Jul 17, 2025
Full time
Mapbox is the leading real-time location platform for a new generation of location-aware businesses. Mapbox is the only platform that equips organizations with the full set of tools to power the navigation of people, packages, and vehicles everywhere. More than 4 million registered developers have chosen Mapbox because of the platform's flexibility, security and privacy compliance. Organizations use Mapbox applications, data, SDKs and APIs to create customized and immersive experiences that delight their customers. What We Do The Location AI team is working on a product that enables rich, natural, and in-depth explorations about places and all dynamic aspects of the world, continuously refreshed using real-time data from Mapbox. As AI applications become the new primary interface for users, we're building the foundational systems that allow these applications to understand and interact with the physical world in contextually relevant, accurate, and up-to-date ways. Our team is at the forefront of implementing the model context protocol and AI agent infrastructure that powers this new era of spatial intelligence. We focus on designing interfaces between foundational models and geospatial data, enabling agents to reason about location in ways that feel intuitive and grounded. By treating AI apps as our customer, we craft systems that are modular, scalable, and deeply aligned with how agents learn, plan, and assist. What You'll Do Evaluate and implement models, ensuring optimal performance, latency, and privacy for a location agent's natural language understanding. Integrate models into our AI agent framework, enabling agents to interpret and respond to natural language prompts with grounded, context-aware outputs. Help design, develop, and manage our MLOps pipeline for training, evaluating, and deploying models for different use cases, languages, and deployment targets. Collaborate across engineering, product, and design teams to ensure our machine learning and NLP features meet the evolving needs of AI applications and fit within Mapbox's real-time location intelligence ecosystem. Stay at the forefront of NLP and ML research, continuously evaluating and implementing new techniques to enhance our team's capabilities and product user experience. What We Believe are Important Traits for This Role 7+ years of relative industry engineering experience. 5+ years of professional experience in machine learning, focused on NLP and transformer models, with an interest in exploring model context protocols. Technical Proficiency: Strong programming skills in Python, experience with ML frameworks such as PyTorch or TensorFlow, and experience with MLOps and deploying ML models in production environments hosted on AWS. Strong Product Focus: Ability to translate ML capabilities into tangible product features, understanding that your work directly impacts the end-user experience. Practical Problem-Solving: Skill in balancing theoretical knowledge with practical implementation, focusing on solutions that work effectively in real-world, in-car environments. Collaborative Mindset: Willingness to work closely with product, engineering, and design teams to create integrated solutions that meet user needs and business goals. Adaptability and Learning Agility: Enthusiasm for staying current with rapidly evolving ML technologies and ability to quickly apply new learnings to improve our products. Iterative Approach: Comfort with rapid prototyping, testing, and refining models based on real-world feedback and usage data. What We Value In addition to our core values , which are not unique to this position and are necessary for Mapbox leaders: We value high-performing creative individuals who dig into problems and opportunities. We believe in individuals being their whole selves at work. We commit to this through supportive health care, parental leave, flexibility for the things that come up in life, and innovating on how we think about supporting our people. We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company. We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply. By applying for this position, you acknowledge that you have received the Mapbox Non-US Privacy Notice for applicants, which is linked here. Completing this application requires you to provide personal data, such as your name and contact information, which is mandatory for Mapbox to process your application. We are committed to a fair and equitable hiring process. We do not discriminate against any protected class.
Purpose of Role We are looking for a C# .NET Developer with experience to join the TAROT (Trading and Risk Optimization Technologies) team in London. The TAROT team develops a cutting-edge analytics and revenue optimization platform which enables traders, client managers and senior management to manage risk, generate revenue opportunities, and analyze their businesses. The project has been a great success since being created approximately 5 years ago, and is in a stage of expansion into additional business lines as a result. Major Responsibilities We require a developer with experience in the C# programming language and ideally ASP.NET Core, to help further expand the application into additional business lines. The candidate will have some experience working in financial services front-office / middle-office facing roles in the past, with a keen desire to further business knowledge and understanding of securities lending and other markets businesses. The major responsibilities would revolve around understanding, design and implementation of various risk calculations, custom algorithms and creation of back-end infrastructure, such as data services and web APIs, to enhance the application as a whole. Knowledge of Angular would also be a plus, but less important than C# knowledge. The existing team is very experienced and there is a great opportunity to learn both on the business side and from a technology perspective. Level of Education/ Qualifications Degree in Computer Science, Engineering or other related discipline preferred. Skills and Experience C# - Intermediate to Advanced ASP.NET Core - Intermediate to Advanced. Familiarity with IIS (Internet Information Services) configuration. Web Services Previous experience working in a financial services-related role a plus Knowledge of securities lending or FX a plus. Attention to detail in relation to UX and UI design. Knowledge of authentication / authorization approaches and Active Directory a plus. About State Street What we do? State Street is one of the largest custodian banks, asset managers and asset intelligence companies in the world. From technology to product innovation, we're making our mark on the financial services industry. For more than two centuries, we've been helping our clients safeguard and steward the investments of millions of people. We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clients. Work, Live and Grow. We make all efforts to create a great work environment. Our benefits packages are competitive and comprehensive. Details vary by location, but you may expect generous medical care, insurance and savings plans, among other perks. You'll have access to flexible Work Programs to help you match your needs. And our wealth of development programs and educational support will help you reach your full potential. Inclusion, Diversity Social Responsibility. We truly believe our employees' diverse backgrounds, experiences and perspectives are a powerful contributor to creating an inclusive environment where everyone can thrive and reach their maximum potential while adding value to both our organization and our clients. We warmly welcome candidates of diverse origin, background, ability, age, sexual orientation, gender identity and personality. Another fundamental value at State Street is active engagement with our communities around the world, both as a partner and a leader. You will have tools to help balance your professional and personal life, paid volunteer days, matching gift programs and access to employee networks that help you stay connected to what matters to you. State Street is an equal opportunity and affirmative action employer.
Jul 17, 2025
Full time
Purpose of Role We are looking for a C# .NET Developer with experience to join the TAROT (Trading and Risk Optimization Technologies) team in London. The TAROT team develops a cutting-edge analytics and revenue optimization platform which enables traders, client managers and senior management to manage risk, generate revenue opportunities, and analyze their businesses. The project has been a great success since being created approximately 5 years ago, and is in a stage of expansion into additional business lines as a result. Major Responsibilities We require a developer with experience in the C# programming language and ideally ASP.NET Core, to help further expand the application into additional business lines. The candidate will have some experience working in financial services front-office / middle-office facing roles in the past, with a keen desire to further business knowledge and understanding of securities lending and other markets businesses. The major responsibilities would revolve around understanding, design and implementation of various risk calculations, custom algorithms and creation of back-end infrastructure, such as data services and web APIs, to enhance the application as a whole. Knowledge of Angular would also be a plus, but less important than C# knowledge. The existing team is very experienced and there is a great opportunity to learn both on the business side and from a technology perspective. Level of Education/ Qualifications Degree in Computer Science, Engineering or other related discipline preferred. Skills and Experience C# - Intermediate to Advanced ASP.NET Core - Intermediate to Advanced. Familiarity with IIS (Internet Information Services) configuration. Web Services Previous experience working in a financial services-related role a plus Knowledge of securities lending or FX a plus. Attention to detail in relation to UX and UI design. Knowledge of authentication / authorization approaches and Active Directory a plus. About State Street What we do? State Street is one of the largest custodian banks, asset managers and asset intelligence companies in the world. From technology to product innovation, we're making our mark on the financial services industry. For more than two centuries, we've been helping our clients safeguard and steward the investments of millions of people. We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clients. Work, Live and Grow. We make all efforts to create a great work environment. Our benefits packages are competitive and comprehensive. Details vary by location, but you may expect generous medical care, insurance and savings plans, among other perks. You'll have access to flexible Work Programs to help you match your needs. And our wealth of development programs and educational support will help you reach your full potential. Inclusion, Diversity Social Responsibility. We truly believe our employees' diverse backgrounds, experiences and perspectives are a powerful contributor to creating an inclusive environment where everyone can thrive and reach their maximum potential while adding value to both our organization and our clients. We warmly welcome candidates of diverse origin, background, ability, age, sexual orientation, gender identity and personality. Another fundamental value at State Street is active engagement with our communities around the world, both as a partner and a leader. You will have tools to help balance your professional and personal life, paid volunteer days, matching gift programs and access to employee networks that help you stay connected to what matters to you. State Street is an equal opportunity and affirmative action employer.
Job Title: Expert Level Designer - Single Player Requisition ID: R024504 : Sledgehammer Games is a leading developer in the video game industry, best known for its work on the Call of Duty franchise. Sinceourinception in 2009, the studio has delivered iconic titles like including Call of Duty: Advanced Warfare , Call of Duty: WWII (2017) , and, most recently, Call of Duty: Modern Warfare III . As industry leaders in first-person shooter development, our commitment to excellence is reflected in every detail of our games, from highly polished multiplayer experiences to emotionally engaging single-player campaigns. At Sledgehammer Games, we believe in pushing boundaries, redefining the possibilities of interactive storytelling, and setting new standards for visual and gameplay fidelity. Together, we aim to deliver world-class gaming content that continues to set the bar for quality, innovation, and player engagement. We are excited to invite a talented and passionate developer to join our growing team as an Expert Single Player Level Designer based in our Guildford, UK studio. In this role, you will work collaboratively with our talented teams across the globe, including our locations in the United States, Australia, Canada, and the United Kingdom. If you're ready to be part of a dynamic and collaborative environment where your skills can make a real impact, we invite you to explore career opportunities with us. To learn more about our studio, please visit us at Please note: This is not a remote role. This is a hybrid position based in our Guildford Studio, offering flexibility with a combination of in-studio and remote workdays. Permanent remote work is not available for this position. Your Mission: As an Expert Single player Level Designer, you will design, build and own bold and original levels for our single player campaign. We're looking for enthusiastic, experienced talent with strong demonstrable level design experience to push the quality bar of Call of Duty campaign levels. Responsibilities: Design and create original, compelling level flows that serve the design and narrative direction while pushing the boundaries of what a Call of Duty experience can be. Build blockouts for your level in our proprietary editor that are engaging, readable and facilitate the level vision. Leverage reference and work closely with the art team to ensure these are visually compelling and grounded in reality. Script the full player experience in these spaces ensuring it exemplifies the desired tone of the level, including but not limited to core progression flow, encounter setups, exotic prototyping, setpiece choreography, narrative/cinematic integration and world ambience. Own the quality, functionality and stability of your level throughout its life cycle, from pre-production to final polish and bugfixing. Autonomously anticipate challenges and push quality across all facets of the level, pro-actively identifying issues/opportunities and pitching/prototyping improvements. Research the game's subject matter and be intimately familiar with the direction and narrative intentions to best inform your work. Collaborate with art, engineering, animation, VFX and audio teams to implement their content into the game, providing feedback where necessary to ensure the vision of the level is upheld. Iterate on your work based on feedback from directors, playtests and the wider team, pro-actively seeking it when required. Collaborate with team members in the PST time zone as needed for knowledge sharing, iteration, and feedback on your work - these meetings will be held as early in the day as schedules allow. Mentor junior designers, feeding back on their work and refining their skillset and best practices. Prioritise your time effectively to meet deadlines, while working with production to ensure your level is being correctly planned and scoped. Qualifications: A wealth of proven experience in level design, with a portfolio that demonstrates this. A strong interest in the Call of Duty series and singleplayer games, with a passion for innovation within this space. High expertise in creating clean, high quality content in at least one level editor and scripting tool. The ability to conceptualise and communicate an engaging gameplay experience, along with the technical ability to carry out your vision. Strong critical thinking skills, able to critique your own work and abstract high level themes from content and feedback that can be articulated to the team. Self-motivated, able to envision and implement level improvements with autonomy that are in keeping with the game's direction. Able to create level layouts that are beautiful and believable while serving your experiential intentions. Strong teamwork and communication skills, with an open and enthusiastic approach to collaboration and giving/receiving feedback. Extra Points: Experience working in Radiant. Experience in written scripting languages (e.g. C#, Javascript, Python). Experience in design for the first person shooter genre. Strengths in another core discipline (e.g. environment art, animation, engineering). Familiarity with previous Call of Duty campaigns. We love hearing from anyone who is enthusiastic about changing the games industry. Not sure you meet all qualifications? Let us decide! Research shows that women and members of other under-represented groups tend to not apply to jobs when they think they may not meet every qualification, when, in fact, they often do! At Activision Blizzard, we are committed to creating a diverse and inclusive environment and strongly encourage you to apply. Our World At Activision, we strive to create the most iconic brands in gaming and entertainment. We're driven by our mission to deliver unrivaled gaming experiences for the world to enjoy, together. We are home to some of the most beloved entertainment franchises including Call of Duty, Crash Bandicoot, Tony Hawk's Pro Skater, and Guitar Hero. As a leading worldwide developer, publisher and distributor of interactive entertainment and products, our "press start" is simple: delight hundreds of millions of players around the world with innovative, fun, thrilling, and engaging entertainment experiences. We're not just looking back at our decades-long legacy; we're forging ahead to keep advancing gameplay with some of the most popular titles and sophisticated technology in the world. We have bold ambitions to create the most inclusive company as we know our success comes from the passionate, creative, and diverse teams within our organization. We're in the business of delivering fun and unforgettable entertainment for our player community to enjoy. And our future opportunities have never been greater - this could be your opportunity to level up. Ready to Activate Your Future? The video game industry and therefore our business is fast-paced and will continue to evolve. As such, the duties and responsibilities of this role may be changed as directed by the Company at any time to promote and support our business and relationships with industry partners. Sledgehammer Games is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, protected veteran status, or any other basis protected by applicable law and will not be discriminated against on the basis of disability.
Jul 17, 2025
Full time
Job Title: Expert Level Designer - Single Player Requisition ID: R024504 : Sledgehammer Games is a leading developer in the video game industry, best known for its work on the Call of Duty franchise. Sinceourinception in 2009, the studio has delivered iconic titles like including Call of Duty: Advanced Warfare , Call of Duty: WWII (2017) , and, most recently, Call of Duty: Modern Warfare III . As industry leaders in first-person shooter development, our commitment to excellence is reflected in every detail of our games, from highly polished multiplayer experiences to emotionally engaging single-player campaigns. At Sledgehammer Games, we believe in pushing boundaries, redefining the possibilities of interactive storytelling, and setting new standards for visual and gameplay fidelity. Together, we aim to deliver world-class gaming content that continues to set the bar for quality, innovation, and player engagement. We are excited to invite a talented and passionate developer to join our growing team as an Expert Single Player Level Designer based in our Guildford, UK studio. In this role, you will work collaboratively with our talented teams across the globe, including our locations in the United States, Australia, Canada, and the United Kingdom. If you're ready to be part of a dynamic and collaborative environment where your skills can make a real impact, we invite you to explore career opportunities with us. To learn more about our studio, please visit us at Please note: This is not a remote role. This is a hybrid position based in our Guildford Studio, offering flexibility with a combination of in-studio and remote workdays. Permanent remote work is not available for this position. Your Mission: As an Expert Single player Level Designer, you will design, build and own bold and original levels for our single player campaign. We're looking for enthusiastic, experienced talent with strong demonstrable level design experience to push the quality bar of Call of Duty campaign levels. Responsibilities: Design and create original, compelling level flows that serve the design and narrative direction while pushing the boundaries of what a Call of Duty experience can be. Build blockouts for your level in our proprietary editor that are engaging, readable and facilitate the level vision. Leverage reference and work closely with the art team to ensure these are visually compelling and grounded in reality. Script the full player experience in these spaces ensuring it exemplifies the desired tone of the level, including but not limited to core progression flow, encounter setups, exotic prototyping, setpiece choreography, narrative/cinematic integration and world ambience. Own the quality, functionality and stability of your level throughout its life cycle, from pre-production to final polish and bugfixing. Autonomously anticipate challenges and push quality across all facets of the level, pro-actively identifying issues/opportunities and pitching/prototyping improvements. Research the game's subject matter and be intimately familiar with the direction and narrative intentions to best inform your work. Collaborate with art, engineering, animation, VFX and audio teams to implement their content into the game, providing feedback where necessary to ensure the vision of the level is upheld. Iterate on your work based on feedback from directors, playtests and the wider team, pro-actively seeking it when required. Collaborate with team members in the PST time zone as needed for knowledge sharing, iteration, and feedback on your work - these meetings will be held as early in the day as schedules allow. Mentor junior designers, feeding back on their work and refining their skillset and best practices. Prioritise your time effectively to meet deadlines, while working with production to ensure your level is being correctly planned and scoped. Qualifications: A wealth of proven experience in level design, with a portfolio that demonstrates this. A strong interest in the Call of Duty series and singleplayer games, with a passion for innovation within this space. High expertise in creating clean, high quality content in at least one level editor and scripting tool. The ability to conceptualise and communicate an engaging gameplay experience, along with the technical ability to carry out your vision. Strong critical thinking skills, able to critique your own work and abstract high level themes from content and feedback that can be articulated to the team. Self-motivated, able to envision and implement level improvements with autonomy that are in keeping with the game's direction. Able to create level layouts that are beautiful and believable while serving your experiential intentions. Strong teamwork and communication skills, with an open and enthusiastic approach to collaboration and giving/receiving feedback. Extra Points: Experience working in Radiant. Experience in written scripting languages (e.g. C#, Javascript, Python). Experience in design for the first person shooter genre. Strengths in another core discipline (e.g. environment art, animation, engineering). Familiarity with previous Call of Duty campaigns. We love hearing from anyone who is enthusiastic about changing the games industry. Not sure you meet all qualifications? Let us decide! Research shows that women and members of other under-represented groups tend to not apply to jobs when they think they may not meet every qualification, when, in fact, they often do! At Activision Blizzard, we are committed to creating a diverse and inclusive environment and strongly encourage you to apply. Our World At Activision, we strive to create the most iconic brands in gaming and entertainment. We're driven by our mission to deliver unrivaled gaming experiences for the world to enjoy, together. We are home to some of the most beloved entertainment franchises including Call of Duty, Crash Bandicoot, Tony Hawk's Pro Skater, and Guitar Hero. As a leading worldwide developer, publisher and distributor of interactive entertainment and products, our "press start" is simple: delight hundreds of millions of players around the world with innovative, fun, thrilling, and engaging entertainment experiences. We're not just looking back at our decades-long legacy; we're forging ahead to keep advancing gameplay with some of the most popular titles and sophisticated technology in the world. We have bold ambitions to create the most inclusive company as we know our success comes from the passionate, creative, and diverse teams within our organization. We're in the business of delivering fun and unforgettable entertainment for our player community to enjoy. And our future opportunities have never been greater - this could be your opportunity to level up. Ready to Activate Your Future? The video game industry and therefore our business is fast-paced and will continue to evolve. As such, the duties and responsibilities of this role may be changed as directed by the Company at any time to promote and support our business and relationships with industry partners. Sledgehammer Games is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, protected veteran status, or any other basis protected by applicable law and will not be discriminated against on the basis of disability.
Are you excited about delighting millions of customers by driving the most relevant marketing initiatives? Do you thrive in a fast-moving, large-scale environment that values data-driven decision making and sound scientific practices? Amazon is seeking a Data Scientist . This team is focused on driving key priorities of a)core shopping that elevates the shopping CX for all shoppers in all lifecycle stages, b) developing ways to accelerate lifecycle progression and build foundational capabilities to address the shopper needs and c)Alternate shopping models We are looking for a Data Scientist to join our efforts to support the next generation of analytics systems for measuring consumer behavior using machine learning and econometrics at big data scale at Amazon. You will work machine learning and statistical algorithms across multiple platforms to harness enormous volumes of online data at scale to define customer facing products and measure customer responses to various marketing initiatives. The Data Scientist will be a technical player in a team working to build custom science solutions to drive new customers, engage existing customers and drive marketing efficiencies by leveraging approaches that optimize Amazon's systems using cutting edge quantitative techniques. The right candidate needs to be fluid in: Data warehousing and EMR (Hive, Pig, R, Python). Feature extraction, feature engineering and feature selection. Machine learning, causal inference, statistical algorithms and recommenders. Model evaluation, validation and deployment. Experimental design and testing. BASIC QUALIFICATIONS - 8+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience - 7+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience - Experience with statistical models e.g. multinomial logistic regression PREFERRED QUALIFICATIONS - -Experience processing, filtering, and presenting large quantities (100K to Millions of rows) of data - -Experience with statistical analysis, data modeling, machine learning, optimizations, regression modeling and forecasting, time series analysis, data mining, and demand modeling - -Experience applying various machine learning techniques, and understanding the key parameters that affect their performance - -Excellent written and verbal communication skills. Strong ability to interact, communicate, present, and influence within multiple levels of the organization. Experience in an operational environment developing, fast-prototyping, piloting and launching analytic products - -Experience in writing academic-styled papers for presenting both the methodologies used and results for data science projects. Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately understand cause and effect relations - -Experience in creating data driven visualizations to describe an end-to-end system - -Excellent written and verbal communication skills. The role requires effective communication with colleagues from computer science, operations research and business backgrounds. - -Ability to work on a diverse team or with a diverse range of coworkers 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.
Jul 17, 2025
Full time
Are you excited about delighting millions of customers by driving the most relevant marketing initiatives? Do you thrive in a fast-moving, large-scale environment that values data-driven decision making and sound scientific practices? Amazon is seeking a Data Scientist . This team is focused on driving key priorities of a)core shopping that elevates the shopping CX for all shoppers in all lifecycle stages, b) developing ways to accelerate lifecycle progression and build foundational capabilities to address the shopper needs and c)Alternate shopping models We are looking for a Data Scientist to join our efforts to support the next generation of analytics systems for measuring consumer behavior using machine learning and econometrics at big data scale at Amazon. You will work machine learning and statistical algorithms across multiple platforms to harness enormous volumes of online data at scale to define customer facing products and measure customer responses to various marketing initiatives. The Data Scientist will be a technical player in a team working to build custom science solutions to drive new customers, engage existing customers and drive marketing efficiencies by leveraging approaches that optimize Amazon's systems using cutting edge quantitative techniques. The right candidate needs to be fluid in: Data warehousing and EMR (Hive, Pig, R, Python). Feature extraction, feature engineering and feature selection. Machine learning, causal inference, statistical algorithms and recommenders. Model evaluation, validation and deployment. Experimental design and testing. BASIC QUALIFICATIONS - 8+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience - 7+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience - Experience with statistical models e.g. multinomial logistic regression PREFERRED QUALIFICATIONS - -Experience processing, filtering, and presenting large quantities (100K to Millions of rows) of data - -Experience with statistical analysis, data modeling, machine learning, optimizations, regression modeling and forecasting, time series analysis, data mining, and demand modeling - -Experience applying various machine learning techniques, and understanding the key parameters that affect their performance - -Excellent written and verbal communication skills. Strong ability to interact, communicate, present, and influence within multiple levels of the organization. Experience in an operational environment developing, fast-prototyping, piloting and launching analytic products - -Experience in writing academic-styled papers for presenting both the methodologies used and results for data science projects. Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately understand cause and effect relations - -Experience in creating data driven visualizations to describe an end-to-end system - -Excellent written and verbal communication skills. The role requires effective communication with colleagues from computer science, operations research and business backgrounds. - -Ability to work on a diverse team or with a diverse range of coworkers 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.
Looking for more than just a job? We like developing our people just as much as we like developing great products. Ivanti is a global leader in IT systems and security management, service management, asset management, and mobility management solutions - helping organizations reduce risks and costs associated with managing their IT environment. The Ivanti Entreprise Service Management (ESM) IT Service Management platform combines ITIL process, support and delivery to provide a flexible, intuitive and self-managing application in the cloud and on-premise. The company has received numerous awards for being a Top Place to Work, as well as many accolades for the products it develops. If you're passionate about what you do, are a champion of customer satisfaction and success, and interested in developing solutions that make a difference and in having fun while doing it, Ivanti is the place for you! Meet the Team: Our Technical Support Engineers contribute to the success of our global customers by supporting their critical business operations. They are experts in our Ivanti IT Service Management tools and provide assistance and excellent standard of service to our global customers, partners and internal staff. They work with some of the biggest and best companies and most prestigious universities in the world to solve complex and interesting issues on mission critical systems through effective collaborative troubleshooting, research and testing or for more complex issues engages directly with back-line and product development teams. They provide excellent support by working in shifts and they are offered many opportunities for skills development and career growth. It is a fantastic role to develop expertise in the range of Ivanti solutions, services & customers and the multiple technologies we interact with. If you are seeking to further strengthen your ITSM technical knowledge in an environment based on excellence, then Join Us Now. How will your day look like: Provide enterprise level technical and functional support for Ivanti Enterprise Service Manager products to global customers, partners and internal staff through troubleshooting and diagnosis Participate in the continuous improvement of Ivanti products, solutions and platforms Make use of phone and remote access tools appropriately Maintain team goals and objectives Work as part of a team to progress customer cases Ensure customer communication is timely, maintained and appropriate Participate in and promote the creation and consumption of knowledge Follow and contribute to the continuous improvement of support processes Maintain technical expertise to support customers and self-develop Participate in focus activities as required - such as backlog reduction, mentoring or coaching of others What skills will make you successful: Experience supporting IT Service Management tools such as Ivanti Service Manager/Service Desk, Cherwell, BMC Remedy/Helix, ServiceNow, Axios, etc Strong technical troubleshooting skills Excellent interpersonal and communication skills Confident user of Microsoft Windows and common applications Understanding of Database and Server Technologies Understanding of internet and network technologies Excellent time management, multi-tasking and organisational skills Self-motivated to develop technically Ability to cope and work under pressure Able to adapt quickly to change Flexible and open approach Must be able to work well with others as part of a team but at the same time able to work independently What skills are nice to have: Knowledge of ITSM, CMDB and ITIL business processes Experience troubleshooting Microsoft Internet Information Services (IIS) and associated protocols Experience with troubleshooting Networking issues Strong troubleshooting/root cause isolation skills Familiarity with AWS, Azure, VMWare Experience providing SaaS support is desirable Exposure to Microsoft Windows internals (registry, drivers, config, group policies etc) Knowledge of Microsoft Windows server and client OS administration Microsoft Certified Professional (MCP, MCSA, MCSE or MCDBA) Languages: Must be fluent in English What is it in for you? Opportunities for career growth Skills development Team collaboration Private Health Insurance Equity Tracking Award 25 days of holiday How does the recruitment process look like? Introductory discussion with our recruiter - 30 minutes Hiring Manager video discussion - 30 minutes Technical Challenge followed up by Panel Interview Offer
Jul 17, 2025
Full time
Looking for more than just a job? We like developing our people just as much as we like developing great products. Ivanti is a global leader in IT systems and security management, service management, asset management, and mobility management solutions - helping organizations reduce risks and costs associated with managing their IT environment. The Ivanti Entreprise Service Management (ESM) IT Service Management platform combines ITIL process, support and delivery to provide a flexible, intuitive and self-managing application in the cloud and on-premise. The company has received numerous awards for being a Top Place to Work, as well as many accolades for the products it develops. If you're passionate about what you do, are a champion of customer satisfaction and success, and interested in developing solutions that make a difference and in having fun while doing it, Ivanti is the place for you! Meet the Team: Our Technical Support Engineers contribute to the success of our global customers by supporting their critical business operations. They are experts in our Ivanti IT Service Management tools and provide assistance and excellent standard of service to our global customers, partners and internal staff. They work with some of the biggest and best companies and most prestigious universities in the world to solve complex and interesting issues on mission critical systems through effective collaborative troubleshooting, research and testing or for more complex issues engages directly with back-line and product development teams. They provide excellent support by working in shifts and they are offered many opportunities for skills development and career growth. It is a fantastic role to develop expertise in the range of Ivanti solutions, services & customers and the multiple technologies we interact with. If you are seeking to further strengthen your ITSM technical knowledge in an environment based on excellence, then Join Us Now. How will your day look like: Provide enterprise level technical and functional support for Ivanti Enterprise Service Manager products to global customers, partners and internal staff through troubleshooting and diagnosis Participate in the continuous improvement of Ivanti products, solutions and platforms Make use of phone and remote access tools appropriately Maintain team goals and objectives Work as part of a team to progress customer cases Ensure customer communication is timely, maintained and appropriate Participate in and promote the creation and consumption of knowledge Follow and contribute to the continuous improvement of support processes Maintain technical expertise to support customers and self-develop Participate in focus activities as required - such as backlog reduction, mentoring or coaching of others What skills will make you successful: Experience supporting IT Service Management tools such as Ivanti Service Manager/Service Desk, Cherwell, BMC Remedy/Helix, ServiceNow, Axios, etc Strong technical troubleshooting skills Excellent interpersonal and communication skills Confident user of Microsoft Windows and common applications Understanding of Database and Server Technologies Understanding of internet and network technologies Excellent time management, multi-tasking and organisational skills Self-motivated to develop technically Ability to cope and work under pressure Able to adapt quickly to change Flexible and open approach Must be able to work well with others as part of a team but at the same time able to work independently What skills are nice to have: Knowledge of ITSM, CMDB and ITIL business processes Experience troubleshooting Microsoft Internet Information Services (IIS) and associated protocols Experience with troubleshooting Networking issues Strong troubleshooting/root cause isolation skills Familiarity with AWS, Azure, VMWare Experience providing SaaS support is desirable Exposure to Microsoft Windows internals (registry, drivers, config, group policies etc) Knowledge of Microsoft Windows server and client OS administration Microsoft Certified Professional (MCP, MCSA, MCSE or MCDBA) Languages: Must be fluent in English What is it in for you? Opportunities for career growth Skills development Team collaboration Private Health Insurance Equity Tracking Award 25 days of holiday How does the recruitment process look like? Introductory discussion with our recruiter - 30 minutes Hiring Manager video discussion - 30 minutes Technical Challenge followed up by Panel Interview Offer
.NET Software Engineer III page is loaded .NET Software Engineer III Apply locations Pennington Addison Jacksonville time type Full time posted on Posted 2 Days Ago job requisition id Job Description: At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates' physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve. Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us! Job Description: This job is responsible for developing and delivering complex requirements to accomplish business goals. Key responsibilities of the job include ensuring that software is developed to meet functional, non-functional and compliance requirements, and solutions are well designed with maintainability/ease of integration and testing built-in from the outset. Job expectations include a strong knowledge of development and testing practices common to the industry and design and architectural patterns. Responsibilities: Codes solutions and unit test to deliver a requirement/story per the defined acceptance criteria and compliance requirements Designs, develops, and modifies architecture components, application interfaces, and solution enablers while ensuring principal architecture integrity is maintained Mentors other software engineers and coach team on Continuous Integration and Continuous Development (CI-CD) practices and automating tool stack Executes story refinement, definition of requirements, and estimating work necessary to realize a story through the delivery lifecycle Performs spike/proof of concept as necessary to mitigate risk or implement new ideas Automates manual release activities Designs, develops, and maintains automated test suites (integration, regression, performance) Position Summary .NET Software Engineer III is a member of the Wealth Management Shared Technology team and performs development and support of highly scalable, most resilient and reusable shared capabilities across enterprise. Additional responsibilities include: API/Webservice design and development formiddle-tiercapabilities,includingRedis in-memorydatabase,which is focused on Framework Modernization. Codes solutions and unit tests to deliver a requirement/story per the defined acceptance criteria and compliance requirements. Ensures solutions are well designed with maintainability/ease of integration and testing built-in from the outset Required Qualifications: 5+ years' experience current .NET skillset with application security background Expertise in .Net core, C# ,WCF, Restful API development, CI/CD processes & Jira Understanding on middleware technologies with API management and SQL database Experience in handling large scale multi-tiered application in an agile environment Should have strong communication, critical thinking and good analytical skills to troubleshoot issues and resolve them Desired Qualifications: Understanding of Redis in-memory database technology Background developing in C++, COM Skills: Application Development Automation Influence Solution Design Technical Strategy Development Architecture Business Acumen DevOps Practices Result Orientation Solution Delivery Process Analytical Thinking Collaboration Data Management Risk Management Test Engineering Shift: 1st shift (United States of America) Hours Per Week: 40 Pay Transparency details US - NJ - Pennington - 1500 AMERICAN BLVD - Princeton Place at Hopewell Bldg. 5 (NJ2150)Pay and benefits informationPay range$102,900.00 - $180,000.00 annualized salary, offers to be determined based on experience, education and skill set.Discretionary incentive eligibleThis role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company.BenefitsThis role is currently benefits eligible. We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve. Similar Jobs (1) Java Full Stack Developer - Software Engineer III locations 2 Locations time type Full time posted on Posted 4 Days Ago Bank of America is committed to help employees through the transition period when they're displaced as a result of a workforce reduction, realignment or similar measure. Please review the resume writing and interviewing tips provided below to help prepare you for your next career opportunity. Regardless of the position you are interested in, the starting points to building your resume are the same: 1.Determine the job or types of jobs you want to do and research their responsibilities and qualifications. 2.Think about why you can do the job and make a list of your skills that are relative to the job. 3.Identify experiences or accomplishments that show your proficiency in the skills required for the job. 4.Summarize your abilities, accomplishments and skills into a brief, concise document. Considerations when writing a resume •Do be brief. Resumes should be 1-2 pages in length. •Do be upbeat and active in your wording. •Do emphasize what you have done clearly and concretely. •Do be neat and well organized. •Do have others proofread and critique your resume. Spell check. Make it error free. •Do use high quality, white or light colored 8 x 11 paper. Use a laser printer if possible. •Don't be dishonest, always tell the truth about yourself in the most flattering light. •Don't include salary history or requirements. •Don't include references. •Don't include accomplishments that do not support your professional goals. • Don't include anything that isn't relevant. (For example, don't mention your fondness for swimming unless you want to work on the water.) •Don't use italics, underlining, shadows or other fancy treatments. Seven steps to a successful interview 1.Anticipate -Put yourself in the interviewer's position. What do you believe the interviewer is most interested in? Why do you think you have been invited to interview? 2.Research -What are the primary functions of the line of business? What are the success factors for the job? Is there a job description available? 3.Assess -Think about your skills, abilities, knowledge, interests, traits, values and accomplishments. Match them to what you know about the job. Consider which ones you should highlight. 4.Prepare Answers -Think about what the interviewer may ask, determine what the best answer is and write it down. 5.Prepare Questions - Interviewing is a two-way street. By asking thoughtful questions, you communicate your interest and learn a lot about the job. Choose two or three questions to ask your interviewer. Avoid asking a lot of questions about vacation time or breaks. 6.Practice - It may seem awkward, but it is the best way to come across well in an interview. Practice your own "great responses" with others or in front of a mirror until you appear relaxed and at ease. 7.Follow-up - Send a brief follow-up letter to the interviewer. Keep in mind that the many job searchers will not send a follow-up letter. Sending one can become a competitive advantage.
Jul 17, 2025
Full time
.NET Software Engineer III page is loaded .NET Software Engineer III Apply locations Pennington Addison Jacksonville time type Full time posted on Posted 2 Days Ago job requisition id Job Description: At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates' physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve. Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us! Job Description: This job is responsible for developing and delivering complex requirements to accomplish business goals. Key responsibilities of the job include ensuring that software is developed to meet functional, non-functional and compliance requirements, and solutions are well designed with maintainability/ease of integration and testing built-in from the outset. Job expectations include a strong knowledge of development and testing practices common to the industry and design and architectural patterns. Responsibilities: Codes solutions and unit test to deliver a requirement/story per the defined acceptance criteria and compliance requirements Designs, develops, and modifies architecture components, application interfaces, and solution enablers while ensuring principal architecture integrity is maintained Mentors other software engineers and coach team on Continuous Integration and Continuous Development (CI-CD) practices and automating tool stack Executes story refinement, definition of requirements, and estimating work necessary to realize a story through the delivery lifecycle Performs spike/proof of concept as necessary to mitigate risk or implement new ideas Automates manual release activities Designs, develops, and maintains automated test suites (integration, regression, performance) Position Summary .NET Software Engineer III is a member of the Wealth Management Shared Technology team and performs development and support of highly scalable, most resilient and reusable shared capabilities across enterprise. Additional responsibilities include: API/Webservice design and development formiddle-tiercapabilities,includingRedis in-memorydatabase,which is focused on Framework Modernization. Codes solutions and unit tests to deliver a requirement/story per the defined acceptance criteria and compliance requirements. Ensures solutions are well designed with maintainability/ease of integration and testing built-in from the outset Required Qualifications: 5+ years' experience current .NET skillset with application security background Expertise in .Net core, C# ,WCF, Restful API development, CI/CD processes & Jira Understanding on middleware technologies with API management and SQL database Experience in handling large scale multi-tiered application in an agile environment Should have strong communication, critical thinking and good analytical skills to troubleshoot issues and resolve them Desired Qualifications: Understanding of Redis in-memory database technology Background developing in C++, COM Skills: Application Development Automation Influence Solution Design Technical Strategy Development Architecture Business Acumen DevOps Practices Result Orientation Solution Delivery Process Analytical Thinking Collaboration Data Management Risk Management Test Engineering Shift: 1st shift (United States of America) Hours Per Week: 40 Pay Transparency details US - NJ - Pennington - 1500 AMERICAN BLVD - Princeton Place at Hopewell Bldg. 5 (NJ2150)Pay and benefits informationPay range$102,900.00 - $180,000.00 annualized salary, offers to be determined based on experience, education and skill set.Discretionary incentive eligibleThis role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company.BenefitsThis role is currently benefits eligible. We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve. Similar Jobs (1) Java Full Stack Developer - Software Engineer III locations 2 Locations time type Full time posted on Posted 4 Days Ago Bank of America is committed to help employees through the transition period when they're displaced as a result of a workforce reduction, realignment or similar measure. Please review the resume writing and interviewing tips provided below to help prepare you for your next career opportunity. Regardless of the position you are interested in, the starting points to building your resume are the same: 1.Determine the job or types of jobs you want to do and research their responsibilities and qualifications. 2.Think about why you can do the job and make a list of your skills that are relative to the job. 3.Identify experiences or accomplishments that show your proficiency in the skills required for the job. 4.Summarize your abilities, accomplishments and skills into a brief, concise document. Considerations when writing a resume •Do be brief. Resumes should be 1-2 pages in length. •Do be upbeat and active in your wording. •Do emphasize what you have done clearly and concretely. •Do be neat and well organized. •Do have others proofread and critique your resume. Spell check. Make it error free. •Do use high quality, white or light colored 8 x 11 paper. Use a laser printer if possible. •Don't be dishonest, always tell the truth about yourself in the most flattering light. •Don't include salary history or requirements. •Don't include references. •Don't include accomplishments that do not support your professional goals. • Don't include anything that isn't relevant. (For example, don't mention your fondness for swimming unless you want to work on the water.) •Don't use italics, underlining, shadows or other fancy treatments. Seven steps to a successful interview 1.Anticipate -Put yourself in the interviewer's position. What do you believe the interviewer is most interested in? Why do you think you have been invited to interview? 2.Research -What are the primary functions of the line of business? What are the success factors for the job? Is there a job description available? 3.Assess -Think about your skills, abilities, knowledge, interests, traits, values and accomplishments. Match them to what you know about the job. Consider which ones you should highlight. 4.Prepare Answers -Think about what the interviewer may ask, determine what the best answer is and write it down. 5.Prepare Questions - Interviewing is a two-way street. By asking thoughtful questions, you communicate your interest and learn a lot about the job. Choose two or three questions to ask your interviewer. Avoid asking a lot of questions about vacation time or breaks. 6.Practice - It may seem awkward, but it is the best way to come across well in an interview. Practice your own "great responses" with others or in front of a mirror until you appear relaxed and at ease. 7.Follow-up - Send a brief follow-up letter to the interviewer. Keep in mind that the many job searchers will not send a follow-up letter. Sending one can become a competitive advantage.
Are you a software engineer looking to make an impact on AI technology? Do you have software engineering expertise and a passion for innovation? About Team: The AI Platform team is responsible for the features that power the AI capabilities of one of LexisNexis IP's flagship products, PatentSight+. We research new AI technology and apply it in our products, resulting in intelligent features that benefit our users, as well as reusable tools for our internal platform. This is an opportunity to join a team that works on a modern, cloud native infrastructure and become an essential part of building LexisNexis IP's AI future. We expect this team to work across multiple technologies around a core, includingPython, AWS (EKS, S3, Lambda, CDK, etc.), AI/ML/Data Science libraries (LLM tooling, pandas, etc.) About Role: We are hiring several Software Engineers of differing levels to build AI capabilities through the delivery of AI-powered features within PatentSight+ and internal AI tools. PatentSight+ enables core IP activities such as competitive intelligence, benchmarking, portfolio optimisation and more, by bringing together highly curated and enriched datasets, cutting-edge analysis tools with streamlined workflows and powerful visualisation capabilities, all within a single platform. You'll be working in a small, highly skilled agile team, with ownership over the mission and your development practices and processes. Your engineering team will be mainly based in the UK and Germany. You will also work closely with an existing application team, data scientists, as well as with a broader range of stakeholders distributed across the UK, Germany, the Netherlands and the USA. Key Responsibilities: Researching the applicability of cutting-edge AI technology in our features. Delivering AI-powered features. Helping to build AWS platform infrastructure with CDK, such as Kubernetes services and vector databases. Participating in development processes and code reviews. Operating in a Scrum-based development environment while collaborating with stakeholders. Proactively seeking to learn about best coding practices in Python. Requirements: Ability to write code and tests in Python. Knowledge of AWS or similar cloud providers. Understanding Software Engineering techniques and processes. Strong interpersonal, communication, and presentation skills applicable to a wide audience. Experience with Azure Pipelines, AWS CDK is desirable, but not essential Why Join Us? Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply. Work in a way that works for you We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours - flexing the times when you work during the day to help you fit everything in and work when you are the most productive. Working for you We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Generous holiday allowance with the option to buy additional days. Health screening, eye care vouchers and private medical benefits Life assurance Access to a competitive contributory pension scheme Save As You Earn share option scheme. Travel Season ticket loan. Electric Vehicle Scheme Maternity, paternity, and shared parental leave Employee Assistance Programme Access to emergency care for both the elderly and children RECARES days, giving you time to support the charities and causes that matter to you. Access to employee resource groups with dedicated time to volunteer. Access to extensive learning and development resources Access to the employee discounts scheme via Perks at Work About Business At LexisNexis Intellectual Property (LNIP), we believe that whenever a person works on a patent and understands the future trajectory of a specific technology, that person has the potential to fundamentally change how society operates. We are proud to directly support and serve these innovators in their endeavours to better humankind. We enable innovators to accomplish more by helping them make informed decisions, be more productive, comply with regulations, and ultimately achieve superior results. By harnessing the latest advances in machine learning combined with expert analysis, LexisNexis Intellectual Property is disrupting how actionable insight is extracted from patent data. Information can now be accessed with efficiency, accuracy and at a speed that is just not possible by traditional methods. Our overall success is measured by how well we deliver these results . We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. LexisNexis Legal & Professional is a leading global provider of legal, regulatory and business information and analytics that help customers increase productivity, improve decision-making and outcomes, and advance the rule of law around the world. We help lawyers win cases, manage their work more efficiently, serve their clients better and grow their practices. We assist corporations in better understanding their markets and preventing bribery and corruption within their supply chains. We partner with leading global associations and customers to help collect evidence against war criminals and provide tools to combat human trafficking. We endeavour to advance the rule of law across the world.Our teams are combining unparalleled legal and business information with analytics and technology to advance what's possible for the way our customers work and to advance what's possible in the world by strengthening the rule of law.
Jul 17, 2025
Full time
Are you a software engineer looking to make an impact on AI technology? Do you have software engineering expertise and a passion for innovation? About Team: The AI Platform team is responsible for the features that power the AI capabilities of one of LexisNexis IP's flagship products, PatentSight+. We research new AI technology and apply it in our products, resulting in intelligent features that benefit our users, as well as reusable tools for our internal platform. This is an opportunity to join a team that works on a modern, cloud native infrastructure and become an essential part of building LexisNexis IP's AI future. We expect this team to work across multiple technologies around a core, includingPython, AWS (EKS, S3, Lambda, CDK, etc.), AI/ML/Data Science libraries (LLM tooling, pandas, etc.) About Role: We are hiring several Software Engineers of differing levels to build AI capabilities through the delivery of AI-powered features within PatentSight+ and internal AI tools. PatentSight+ enables core IP activities such as competitive intelligence, benchmarking, portfolio optimisation and more, by bringing together highly curated and enriched datasets, cutting-edge analysis tools with streamlined workflows and powerful visualisation capabilities, all within a single platform. You'll be working in a small, highly skilled agile team, with ownership over the mission and your development practices and processes. Your engineering team will be mainly based in the UK and Germany. You will also work closely with an existing application team, data scientists, as well as with a broader range of stakeholders distributed across the UK, Germany, the Netherlands and the USA. Key Responsibilities: Researching the applicability of cutting-edge AI technology in our features. Delivering AI-powered features. Helping to build AWS platform infrastructure with CDK, such as Kubernetes services and vector databases. Participating in development processes and code reviews. Operating in a Scrum-based development environment while collaborating with stakeholders. Proactively seeking to learn about best coding practices in Python. Requirements: Ability to write code and tests in Python. Knowledge of AWS or similar cloud providers. Understanding Software Engineering techniques and processes. Strong interpersonal, communication, and presentation skills applicable to a wide audience. Experience with Azure Pipelines, AWS CDK is desirable, but not essential Why Join Us? Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply. Work in a way that works for you We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours - flexing the times when you work during the day to help you fit everything in and work when you are the most productive. Working for you We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Generous holiday allowance with the option to buy additional days. Health screening, eye care vouchers and private medical benefits Life assurance Access to a competitive contributory pension scheme Save As You Earn share option scheme. Travel Season ticket loan. Electric Vehicle Scheme Maternity, paternity, and shared parental leave Employee Assistance Programme Access to emergency care for both the elderly and children RECARES days, giving you time to support the charities and causes that matter to you. Access to employee resource groups with dedicated time to volunteer. Access to extensive learning and development resources Access to the employee discounts scheme via Perks at Work About Business At LexisNexis Intellectual Property (LNIP), we believe that whenever a person works on a patent and understands the future trajectory of a specific technology, that person has the potential to fundamentally change how society operates. We are proud to directly support and serve these innovators in their endeavours to better humankind. We enable innovators to accomplish more by helping them make informed decisions, be more productive, comply with regulations, and ultimately achieve superior results. By harnessing the latest advances in machine learning combined with expert analysis, LexisNexis Intellectual Property is disrupting how actionable insight is extracted from patent data. Information can now be accessed with efficiency, accuracy and at a speed that is just not possible by traditional methods. Our overall success is measured by how well we deliver these results . We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. LexisNexis Legal & Professional is a leading global provider of legal, regulatory and business information and analytics that help customers increase productivity, improve decision-making and outcomes, and advance the rule of law around the world. We help lawyers win cases, manage their work more efficiently, serve their clients better and grow their practices. We assist corporations in better understanding their markets and preventing bribery and corruption within their supply chains. We partner with leading global associations and customers to help collect evidence against war criminals and provide tools to combat human trafficking. We endeavour to advance the rule of law across the world.Our teams are combining unparalleled legal and business information with analytics and technology to advance what's possible for the way our customers work and to advance what's possible in the world by strengthening the rule of law.
Business Research Analyst - II, RBS Returns Reduction As a Research Analyst, you'll collaborate with experts to develop ML models leveraging big data solutions and Large Language Models (LLMs) for business needs. You'll drive product pilots, demonstrating innovative thinking and customer focus. You'll build scalable solutions, write high-quality code, and develop state-of-the-art ML models. You'll coordinate between science and software teams, optimizing solutions. The role requires thriving in ambiguous, fast-paced environments and working independently with ML models. Key job responsibilities • Collaborate with seasoned Applied Scientists and propose best in class ML solutions for business requirements • Dive deep to drive product pilots, demonstrate think big and customer obsession LPs to steer the product roadmap • Build scalable solutions in partnership with Applied Scientists by developing technical intuition to write high quality code and develop state of the art ML models utilizing most recent research breakthroughs in academia and industry • Coordinate design efforts between Sciences and Software teams to deliver optimized solutions • Ability to thrive in an ambiguous, uncertain and fast moving ML usecase developments. • Familiar with ML models and work independent. • Mentor Junior Research Analyst (RAs) and contribute to RA hiring About the team Retail Business Services Technology (RBS Tech) team develops the systems and science to accelerate Amazon's flywheel. The team drives three core themes: 1) Find and Fix all customer and selling partner experience (CX and SPX) defects using technology, 2) Generate comprehensive insights for brand growth opportunities, and 3) Completely automate Stores tasks. Our vision for MLOE is to achieve ML operational excellence across Amazon through continuous innovation, scalable infrastructure, and a data-driven approach to optimize value, efficiency, and reliability. We focus on key areas for enhancing machine learning operations: a) Model Evaluation: Expanding LLM-based audit platform to support multilingual and multimodal auditing. Developing an LLM-powered testing framework for conversational systems to automate the validation of conversational flows, ensuring scalable, accurate, and efficient end-to-end testing. b) Guardrails: Building common guardrail APIs that teams can integrate to detect and prevent egregious errors, knowledge grounding issues, PII breaches, and biases. c) Deployment Framework support LLM deployments and seamlessly integrate it with our release management processes. BASIC QUALIFICATIONS - • Bachelor's degree in Quantitative or STEM disciplines (Science, Technology, Engineering, Mathematics) - • 3+ years of relevant work experience in solving real world business problems using machine learning, deep learning, data mining and statistical algorithms - • Strong hands-on programming skills in Python, SQL, Hadoop/Hive. Additional knowledge of Spark, Scala, R, Java desired but not mandatory - • Strong analytical thinking - • Ability to creatively solve business problems, innovating new approaches where required and articulating ideas to a wide range of audiences using strong data, written and verbal communication skills - • Ability to collaborate effectively across multiple teams and stakeholders, including development teams, product management and operations. PREFERRED QUALIFICATIONS - • Master's degree with specialization in ML, NLP or Computer Vision preferred - • 3+ years relevant work experience in a related field/s (project management, customer advocate, product owner, engineering, business analysis) - • Diverse experience will be favored eg. a mix of experience across different roles - In-depth understanding of machine learning concepts including developing models and tuning the hyper-parameters, as well as deploying models and building ML service - Technical expertise, experience in Data science, ML and Statistics 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.
Jul 17, 2025
Full time
Business Research Analyst - II, RBS Returns Reduction As a Research Analyst, you'll collaborate with experts to develop ML models leveraging big data solutions and Large Language Models (LLMs) for business needs. You'll drive product pilots, demonstrating innovative thinking and customer focus. You'll build scalable solutions, write high-quality code, and develop state-of-the-art ML models. You'll coordinate between science and software teams, optimizing solutions. The role requires thriving in ambiguous, fast-paced environments and working independently with ML models. Key job responsibilities • Collaborate with seasoned Applied Scientists and propose best in class ML solutions for business requirements • Dive deep to drive product pilots, demonstrate think big and customer obsession LPs to steer the product roadmap • Build scalable solutions in partnership with Applied Scientists by developing technical intuition to write high quality code and develop state of the art ML models utilizing most recent research breakthroughs in academia and industry • Coordinate design efforts between Sciences and Software teams to deliver optimized solutions • Ability to thrive in an ambiguous, uncertain and fast moving ML usecase developments. • Familiar with ML models and work independent. • Mentor Junior Research Analyst (RAs) and contribute to RA hiring About the team Retail Business Services Technology (RBS Tech) team develops the systems and science to accelerate Amazon's flywheel. The team drives three core themes: 1) Find and Fix all customer and selling partner experience (CX and SPX) defects using technology, 2) Generate comprehensive insights for brand growth opportunities, and 3) Completely automate Stores tasks. Our vision for MLOE is to achieve ML operational excellence across Amazon through continuous innovation, scalable infrastructure, and a data-driven approach to optimize value, efficiency, and reliability. We focus on key areas for enhancing machine learning operations: a) Model Evaluation: Expanding LLM-based audit platform to support multilingual and multimodal auditing. Developing an LLM-powered testing framework for conversational systems to automate the validation of conversational flows, ensuring scalable, accurate, and efficient end-to-end testing. b) Guardrails: Building common guardrail APIs that teams can integrate to detect and prevent egregious errors, knowledge grounding issues, PII breaches, and biases. c) Deployment Framework support LLM deployments and seamlessly integrate it with our release management processes. BASIC QUALIFICATIONS - • Bachelor's degree in Quantitative or STEM disciplines (Science, Technology, Engineering, Mathematics) - • 3+ years of relevant work experience in solving real world business problems using machine learning, deep learning, data mining and statistical algorithms - • Strong hands-on programming skills in Python, SQL, Hadoop/Hive. Additional knowledge of Spark, Scala, R, Java desired but not mandatory - • Strong analytical thinking - • Ability to creatively solve business problems, innovating new approaches where required and articulating ideas to a wide range of audiences using strong data, written and verbal communication skills - • Ability to collaborate effectively across multiple teams and stakeholders, including development teams, product management and operations. PREFERRED QUALIFICATIONS - • Master's degree with specialization in ML, NLP or Computer Vision preferred - • 3+ years relevant work experience in a related field/s (project management, customer advocate, product owner, engineering, business analysis) - • Diverse experience will be favored eg. a mix of experience across different roles - In-depth understanding of machine learning concepts including developing models and tuning the hyper-parameters, as well as deploying models and building ML service - Technical expertise, experience in Data science, ML and Statistics 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.
Business Intelligence Engineer II, Delivery Experience The Amazon Delivery and Shopping Experience Product Team is looking for talented Business Intelligence Engineers (BIE) who develop solutions to better optimize customer experience and shopping experience by disproportionately improving discoverability and speed. As part of Amazon's DEX product team, our team members have the opportunity to be at the forefront of DEX product thought leadership - working on some of the most difficult Customer Experience problems while partnering with research scientists, software developers, and business leaders. With the focus on driving real impact on Amazon's long-term profitability, we build new analysis from ground up, proposing new concepts and technology to meet business needs. We need strong BIEs who enjoy and excel at diving into data, analyzing root causes, defining long-term solutions and driving their implementation with stakeholders. We are looking for people with a flair for recognizing trends and patterns while correlating it to the business problem at hand. If you have an uncanny ability to decipher the exact policy/mechanism/solution to address the challenge and ability to influence people using hard data (and some tact) then we are looking for you! Key job responsibilities As a BIE within the group, you will work closely with program managers, software developers, research scientists, and product managers to analyze massive data sets, identify areas to improve, define metrics to measure and monitor programs, and most importantly work with different stakeholders to drive improvements over time. You will also work closely with internal business teams to extract or mine information from our existing systems to create new analysis, and expose data from our group to wider teams in intuitive ways. As a BIE embedded in the product team you have the opportunity to participate and shape product development as well as leverage your technical skills. This position provides opportunities to influence high visibility/high impact areas in the organization. This position requires superior analytical thinkers, able to quickly approach large ambiguous problems and apply your technical and engineering expertise to rapidly prototype and deliver solutions. This skill also requires you to work across a variety of teams, including software tech teams, operations, finance, category, search, and inventory platform (software) teams. Successful candidates must thrive in fast-paced environments which encourage collaborative and creative problem solving, be able to measure and estimate risks, constructively critique peer research, extract and manipulate data across various data marts, and align research focuses on Amazon's strategic needs. A day in the life • Perform complex data analysis (correlations, regressions, simulations, optimization, etc.) and identify improvement opportunities on key customer experience metrics (sales, speed perception, Prime benefits, reduce ship costs, etc.). • Own end-to-end program management. You will not only develop insights but devise realistic plans and work with key stakeholders (software managers, product managers, retail business managers, etc.) to execute them. • Responsible for adding YY million $ to top line or reducing XX million $ actual savings to bottom line. You will be responsible for not only "recommendation" but actual improvements. • Engage with senior leadership on drafting proposals for new concepts, improvement plans, 3-year strategy and outlook. • Be a subject matter expert in best in class customer experience policies at Amazon. You will understand intricate details of our promise and ordering systems along with their impact on ground-level operations • Design, develop and establish KPIs to monitor analysis and provide strategic insights to drive growth and performance. • Build infrastructure and implement maintenance strategy for internal datasets to support swift analysis to answer critical business questions. You • Work with large data sets, automate data extraction, and build monitoring/reporting dashboards and high value, self-service automated BI solutions. • Responsible for up skilling team data management and analytical capabilities by mentoring program managers, junior/peer analysts, and senior managers. About the team As Amazon India's DEX product team, we are at the forefront of the Customer Experience product thought leadership - working on some of the most difficult Customer Experience problems while partnering with research scientists, software developers, and business leaders. With the focus on driving real impact on Amazon's long-term profitability, we build new analysis from ground up, proposing new concepts and technology to meet business needs, and translating these concepts into robust scalable products that deliver tangible value to our customers and to the A.in business. BASIC QUALIFICATIONS - 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling PREFERRED QUALIFICATIONS - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets 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.
Jul 17, 2025
Full time
Business Intelligence Engineer II, Delivery Experience The Amazon Delivery and Shopping Experience Product Team is looking for talented Business Intelligence Engineers (BIE) who develop solutions to better optimize customer experience and shopping experience by disproportionately improving discoverability and speed. As part of Amazon's DEX product team, our team members have the opportunity to be at the forefront of DEX product thought leadership - working on some of the most difficult Customer Experience problems while partnering with research scientists, software developers, and business leaders. With the focus on driving real impact on Amazon's long-term profitability, we build new analysis from ground up, proposing new concepts and technology to meet business needs. We need strong BIEs who enjoy and excel at diving into data, analyzing root causes, defining long-term solutions and driving their implementation with stakeholders. We are looking for people with a flair for recognizing trends and patterns while correlating it to the business problem at hand. If you have an uncanny ability to decipher the exact policy/mechanism/solution to address the challenge and ability to influence people using hard data (and some tact) then we are looking for you! Key job responsibilities As a BIE within the group, you will work closely with program managers, software developers, research scientists, and product managers to analyze massive data sets, identify areas to improve, define metrics to measure and monitor programs, and most importantly work with different stakeholders to drive improvements over time. You will also work closely with internal business teams to extract or mine information from our existing systems to create new analysis, and expose data from our group to wider teams in intuitive ways. As a BIE embedded in the product team you have the opportunity to participate and shape product development as well as leverage your technical skills. This position provides opportunities to influence high visibility/high impact areas in the organization. This position requires superior analytical thinkers, able to quickly approach large ambiguous problems and apply your technical and engineering expertise to rapidly prototype and deliver solutions. This skill also requires you to work across a variety of teams, including software tech teams, operations, finance, category, search, and inventory platform (software) teams. Successful candidates must thrive in fast-paced environments which encourage collaborative and creative problem solving, be able to measure and estimate risks, constructively critique peer research, extract and manipulate data across various data marts, and align research focuses on Amazon's strategic needs. A day in the life • Perform complex data analysis (correlations, regressions, simulations, optimization, etc.) and identify improvement opportunities on key customer experience metrics (sales, speed perception, Prime benefits, reduce ship costs, etc.). • Own end-to-end program management. You will not only develop insights but devise realistic plans and work with key stakeholders (software managers, product managers, retail business managers, etc.) to execute them. • Responsible for adding YY million $ to top line or reducing XX million $ actual savings to bottom line. You will be responsible for not only "recommendation" but actual improvements. • Engage with senior leadership on drafting proposals for new concepts, improvement plans, 3-year strategy and outlook. • Be a subject matter expert in best in class customer experience policies at Amazon. You will understand intricate details of our promise and ordering systems along with their impact on ground-level operations • Design, develop and establish KPIs to monitor analysis and provide strategic insights to drive growth and performance. • Build infrastructure and implement maintenance strategy for internal datasets to support swift analysis to answer critical business questions. You • Work with large data sets, automate data extraction, and build monitoring/reporting dashboards and high value, self-service automated BI solutions. • Responsible for up skilling team data management and analytical capabilities by mentoring program managers, junior/peer analysts, and senior managers. About the team As Amazon India's DEX product team, we are at the forefront of the Customer Experience product thought leadership - working on some of the most difficult Customer Experience problems while partnering with research scientists, software developers, and business leaders. With the focus on driving real impact on Amazon's long-term profitability, we build new analysis from ground up, proposing new concepts and technology to meet business needs, and translating these concepts into robust scalable products that deliver tangible value to our customers and to the A.in business. BASIC QUALIFICATIONS - 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling PREFERRED QUALIFICATIONS - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets 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 ID: Amazon Development Centre (India) Private Limited - S55 The AOP (Analytics Operations and Programs) team is responsible for creating core analytics, insight generation and science capabilities for ROW Ops. We develop scalable analytics applications, AI/ML products and research models to optimize operation processes. You will work with Product Managers, Data Engineers, Data Scientists, Research Scientists, Applied Scientists and Business Intelligence Engineers using rigorous quantitative approaches to ensure high quality data/science products for our customers around the world. We are looking for a Sr.Data Scientist to join our growing Science Team. As Data Scientist, you are able to use a range of science methodologies to solve challenging business problems when the solution is unclear. You will be responsible for building ML models to solve complex business problems and test them in production environment. The scope of role includes defining the charter for the project and proposing solutions which align with org's priorities and production constraints but still create impact. You will achieve this by leveraging strong leadership and communication skills, data science skills and by acquiring domain knowledge pertaining to the delivery operations systems. You will provide ML thought leadership to technical and business leaders, and possess ability to think strategically about business, product, and technical challenges. You will also be expected to contribute to the science community by participating in science reviews and publishing in internal or external ML conferences. Our team solves a broad range of problems that can be scaled across ROW (Rest of the World including countries like India, Australia, Singapore, MENA and LATAM). Here is a glimpse of the problems that this team deals with on a regular basis: • Using live package and truck signals to adjust truck capacities in real-time • HOTW models for Last Mile Channel Allocation • Using LLMs to automate analytical processes and insight generation • Ops research to optimize middle mile truck routes • Working with global partner science teams to affect Reinforcement Learning based pricing models and estimating Shipments Per Route for $MM savings • Deep Learning models to synthesize attributes of addresses • Abuse detection models to reduce network losses Key job responsibilities 1. Use machine learning and analytical techniques to create scalable solutions for business problems Analyze and extract relevant information from large amounts of Amazon's historical business data to help automate and optimize key processes 2. Design, develop, evaluate and deploy, innovative and highly scalable ML/OR models 3. Work closely with other science and engineering teams to drive real-time model implementations 4. Work closely with Ops/Product partners to identify problems and propose machine learning solutions 5. Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model maintenance 6. Work proactively with engineering teams and product managers to evangelize new algorithms and drive the implementation of large-scale complex ML models in production 7. Leading projects and mentoring other scientists, engineers in the use of ML techniques BASIC QUALIFICATIONS - 5+ years of data scientist experience - Experience with data scripting languages (e.g. SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab) - Experience with statistical models e.g. multinomial logistic regression - Experience in data applications using large scale distributed systems (e.g., EMR, Spark, Elasticsearch, Hadoop, Pig, and Hive) - Experience working with data engineers and business intelligence engineers collaboratively - Demonstrated expertise in a wide range of ML techniques PREFERRED QUALIFICATIONS - Experience as a leader and mentor on a data science team - Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science - Expertise in Reinforcement Learning and Gen AI is preferred 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: April 8, 2025 (Updated about 11 hours ago) Posted: May 13, 2025 (Updated 2 days ago) Posted: May 13, 2025 (Updated 3 days ago) Posted: May 19, 2025 (Updated 4 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.
Jul 17, 2025
Full time
Job ID: Amazon Development Centre (India) Private Limited - S55 The AOP (Analytics Operations and Programs) team is responsible for creating core analytics, insight generation and science capabilities for ROW Ops. We develop scalable analytics applications, AI/ML products and research models to optimize operation processes. You will work with Product Managers, Data Engineers, Data Scientists, Research Scientists, Applied Scientists and Business Intelligence Engineers using rigorous quantitative approaches to ensure high quality data/science products for our customers around the world. We are looking for a Sr.Data Scientist to join our growing Science Team. As Data Scientist, you are able to use a range of science methodologies to solve challenging business problems when the solution is unclear. You will be responsible for building ML models to solve complex business problems and test them in production environment. The scope of role includes defining the charter for the project and proposing solutions which align with org's priorities and production constraints but still create impact. You will achieve this by leveraging strong leadership and communication skills, data science skills and by acquiring domain knowledge pertaining to the delivery operations systems. You will provide ML thought leadership to technical and business leaders, and possess ability to think strategically about business, product, and technical challenges. You will also be expected to contribute to the science community by participating in science reviews and publishing in internal or external ML conferences. Our team solves a broad range of problems that can be scaled across ROW (Rest of the World including countries like India, Australia, Singapore, MENA and LATAM). Here is a glimpse of the problems that this team deals with on a regular basis: • Using live package and truck signals to adjust truck capacities in real-time • HOTW models for Last Mile Channel Allocation • Using LLMs to automate analytical processes and insight generation • Ops research to optimize middle mile truck routes • Working with global partner science teams to affect Reinforcement Learning based pricing models and estimating Shipments Per Route for $MM savings • Deep Learning models to synthesize attributes of addresses • Abuse detection models to reduce network losses Key job responsibilities 1. Use machine learning and analytical techniques to create scalable solutions for business problems Analyze and extract relevant information from large amounts of Amazon's historical business data to help automate and optimize key processes 2. Design, develop, evaluate and deploy, innovative and highly scalable ML/OR models 3. Work closely with other science and engineering teams to drive real-time model implementations 4. Work closely with Ops/Product partners to identify problems and propose machine learning solutions 5. Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model maintenance 6. Work proactively with engineering teams and product managers to evangelize new algorithms and drive the implementation of large-scale complex ML models in production 7. Leading projects and mentoring other scientists, engineers in the use of ML techniques BASIC QUALIFICATIONS - 5+ years of data scientist experience - Experience with data scripting languages (e.g. SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab) - Experience with statistical models e.g. multinomial logistic regression - Experience in data applications using large scale distributed systems (e.g., EMR, Spark, Elasticsearch, Hadoop, Pig, and Hive) - Experience working with data engineers and business intelligence engineers collaboratively - Demonstrated expertise in a wide range of ML techniques PREFERRED QUALIFICATIONS - Experience as a leader and mentor on a data science team - Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science - Expertise in Reinforcement Learning and Gen AI is preferred 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: April 8, 2025 (Updated about 11 hours ago) Posted: May 13, 2025 (Updated 2 days ago) Posted: May 13, 2025 (Updated 3 days ago) Posted: May 19, 2025 (Updated 4 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.
Software Engineer II, iOS, AI Fitness Coaching link Copy link corporate_fare Google place London, UK Early Experience completing work as directed, and collaborating with teammates; developing knowledge of relevant concepts and processes. Apply link Copy link Bachelor's degree or equivalent practical experience. 1 year of experience with iOS application development. Experience with test automation, test coverage, Swift and Objective-C. Preferred qualifications: Master's degree in Computer Science or a related technical field. 1 year of experience with data structures or algorithms. Experience designing, testing, delivering, and monitoring scalable high-availability software in a cloud computing environment. Experience working on highly scalable, database-backed, distributed systems and communicating with internal and external partners to create system design. Ability to work and achieve results without daily supervision collaborating with other engineers. Ability to focus on delivering value rather than pure engineering. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world. Responsibilities Participate in the full cycle of development: from an idea through design, implementation, testing to exposing features to end users. Collaborate with multiple teams inside Google Participate in the full cycle of development: from an idea through design, implementation, testing to exposing features to end users. Collaborate with multiple teams inside Google (e.g., Product Management, User Experience, Identity, Product Security, Customer Support, feature development teams, Database Engineering, and Site Reliability Engineering). Contribute to the multi-year effort of integrating the software stack with Google Production systems and partner subscription lifecycle management solutions. Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. Ensure appropriate test automation and coverage for developed features to ensure high quality at scale. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Jul 17, 2025
Full time
Software Engineer II, iOS, AI Fitness Coaching link Copy link corporate_fare Google place London, UK Early Experience completing work as directed, and collaborating with teammates; developing knowledge of relevant concepts and processes. Apply link Copy link Bachelor's degree or equivalent practical experience. 1 year of experience with iOS application development. Experience with test automation, test coverage, Swift and Objective-C. Preferred qualifications: Master's degree in Computer Science or a related technical field. 1 year of experience with data structures or algorithms. Experience designing, testing, delivering, and monitoring scalable high-availability software in a cloud computing environment. Experience working on highly scalable, database-backed, distributed systems and communicating with internal and external partners to create system design. Ability to work and achieve results without daily supervision collaborating with other engineers. Ability to focus on delivering value rather than pure engineering. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world. Responsibilities Participate in the full cycle of development: from an idea through design, implementation, testing to exposing features to end users. Collaborate with multiple teams inside Google Participate in the full cycle of development: from an idea through design, implementation, testing to exposing features to end users. Collaborate with multiple teams inside Google (e.g., Product Management, User Experience, Identity, Product Security, Customer Support, feature development teams, Database Engineering, and Site Reliability Engineering). Contribute to the multi-year effort of integrating the software stack with Google Production systems and partner subscription lifecycle management solutions. Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. Ensure appropriate test automation and coverage for developed features to ensure high quality at scale. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Software Engineer II, Android, Health and Fitness Tracking link Copy link corporate_fare Google place London, UK Early Experience completing work as directed, and collaborating with teammates; developing knowledge of relevant concepts and processes. Apply link Copy link Bachelor's degree or equivalent practical experience. 1 year of experience with data structures or algorithms. 1 year of experience with Android application development. Preferred qualifications: Experience working with Kotlin. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world. Responsibilities Develop robust, high-volume, production applications with quality, including implementing unit and integration tests as well as embody software architecture best practices. Design, develop, test, deploy, maintain, document and improve software solutions with guidance. Collaborate with other cross-functional teams to deliver new features and products. Develop an actionable, user-friendly experience, as measured by success metrics. Comply with all company health and safety policies, procedures, and legal requirements. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Jul 17, 2025
Full time
Software Engineer II, Android, Health and Fitness Tracking link Copy link corporate_fare Google place London, UK Early Experience completing work as directed, and collaborating with teammates; developing knowledge of relevant concepts and processes. Apply link Copy link Bachelor's degree or equivalent practical experience. 1 year of experience with data structures or algorithms. 1 year of experience with Android application development. Preferred qualifications: Experience working with Kotlin. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world. Responsibilities Develop robust, high-volume, production applications with quality, including implementing unit and integration tests as well as embody software architecture best practices. Design, develop, test, deploy, maintain, document and improve software solutions with guidance. Collaborate with other cross-functional teams to deliver new features and products. Develop an actionable, user-friendly experience, as measured by success metrics. Comply with all company health and safety policies, procedures, and legal requirements. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Software Engineer II, Android, Tracking Experiences link Copy link corporate_fare Google place London, UK Early Experience completing work as directed, and collaborating with teammates; developing knowledge of relevant concepts and processes. Apply link Copy link Bachelor's degree or equivalent practical experience. 1 year of experience with data structures or algorithms. 1 year of experience with Android application development. Preferred qualifications: Experience working with Kotlin. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world. Responsibilities Develop high-volume, production applications with quality, including implementing unit and integration tests as well as embody software architecture best practices. Design, develop, test, deploy, maintain, document and improve software solutions with guidance. Collaborate with other cross-functional teams to deliver new features and products. Develop an actionable, user-friendly experience, as measured by success metrics. Comply with all company health and safety policies, procedures, and legal requirements. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Jul 17, 2025
Full time
Software Engineer II, Android, Tracking Experiences link Copy link corporate_fare Google place London, UK Early Experience completing work as directed, and collaborating with teammates; developing knowledge of relevant concepts and processes. Apply link Copy link Bachelor's degree or equivalent practical experience. 1 year of experience with data structures or algorithms. 1 year of experience with Android application development. Preferred qualifications: Experience working with Kotlin. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world. Responsibilities Develop high-volume, production applications with quality, including implementing unit and integration tests as well as embody software architecture best practices. Design, develop, test, deploy, maintain, document and improve software solutions with guidance. Collaborate with other cross-functional teams to deliver new features and products. Develop an actionable, user-friendly experience, as measured by success metrics. Comply with all company health and safety policies, procedures, and legal requirements. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Applied Scientist II, Selection Monitoring Selection Monitoring team is responsible for making the biggest catalog on the planet even bigger. In order to drive expansion of the Amazon catalog, we use machine learning and cluster-computing technologies to process billions of products and algorithmically find products not already sold on Amazon. We work with structured, semi-structured and Visually Rich Documents using deep learning, NLP and image processing . The role demands a high-performing and flexible candidate who can take responsibility for success of the system and drive solutions from research, prototype, design, coding and deployment. We are looking for Applied Scientists to tackle challenging problems in the areas of information Extraction, Efficient crawling at internet scale. You should have depth and breadth of knowledge in text mining, information extraction from Visually Rich Documents, semi structured data (HTML) and machine learning. You should also have programming and design skills to manipulate Semi-Structured and unstructured data and systems that work at internet scale. You will encounter many challenges, including: - Scale (build models to handle billions of pages), - Accuracy (requirements for precision and recall) - Speed (generate predictions for millions of new or changed pages with low latency) - Diversity (models need to work across different languages, market places and data sources) You will help us to - Build a scalable system which can algorithmically extract information information from world wide web - Intelligently cluster web pages, segment and classify regions , extract relevant information and structure the data available on semi-structured web pages - Build systems that will use existing Knowledge Base to perform open information extraction at scale from visually rich documents. Key job responsibilities - Use AI, NLP and advances in LLMs/SLMs to create scalable solutions for business problems - Efficiently Crawl web, Automate extraction of relevant information from large amounts of Visually Rich Documents and optimize key processes - Design, develop, evaluate and deploy, innovative and highly scalable ML models - Work closely with software engineering teams to drive real-time model implementations - Establish scalable, efficient, automated processes for large scale model development, model validation and model maintenance - Leading projects and mentoring other scientists, engineers in the use of ML techniques BASIC QUALIFICATIONS - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing PREFERRED QUALIFICATIONS - Experience using Unix/Linux - Experience in professional software development - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Master's degree or above in computer science, computer engineering, or related 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. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Jul 17, 2025
Full time
Applied Scientist II, Selection Monitoring Selection Monitoring team is responsible for making the biggest catalog on the planet even bigger. In order to drive expansion of the Amazon catalog, we use machine learning and cluster-computing technologies to process billions of products and algorithmically find products not already sold on Amazon. We work with structured, semi-structured and Visually Rich Documents using deep learning, NLP and image processing . The role demands a high-performing and flexible candidate who can take responsibility for success of the system and drive solutions from research, prototype, design, coding and deployment. We are looking for Applied Scientists to tackle challenging problems in the areas of information Extraction, Efficient crawling at internet scale. You should have depth and breadth of knowledge in text mining, information extraction from Visually Rich Documents, semi structured data (HTML) and machine learning. You should also have programming and design skills to manipulate Semi-Structured and unstructured data and systems that work at internet scale. You will encounter many challenges, including: - Scale (build models to handle billions of pages), - Accuracy (requirements for precision and recall) - Speed (generate predictions for millions of new or changed pages with low latency) - Diversity (models need to work across different languages, market places and data sources) You will help us to - Build a scalable system which can algorithmically extract information information from world wide web - Intelligently cluster web pages, segment and classify regions , extract relevant information and structure the data available on semi-structured web pages - Build systems that will use existing Knowledge Base to perform open information extraction at scale from visually rich documents. Key job responsibilities - Use AI, NLP and advances in LLMs/SLMs to create scalable solutions for business problems - Efficiently Crawl web, Automate extraction of relevant information from large amounts of Visually Rich Documents and optimize key processes - Design, develop, evaluate and deploy, innovative and highly scalable ML models - Work closely with software engineering teams to drive real-time model implementations - Establish scalable, efficient, automated processes for large scale model development, model validation and model maintenance - Leading projects and mentoring other scientists, engineers in the use of ML techniques BASIC QUALIFICATIONS - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing PREFERRED QUALIFICATIONS - Experience using Unix/Linux - Experience in professional software development - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Master's degree or above in computer science, computer engineering, or related 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. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our customers have immense faith in our ability to deliver packages timely and as expected. A well planned network seamlessly scales to handle millions of package movements a day. It has monitoring mechanisms that detect failures before they even happen (such as predicting network congestion, operations breakdown), and perform proactive corrective actions. When failures do happen, it has inbuilt redundancies to mitigate impact (such as determine other routes or service providers that can handle the extra load), and avoids relying on single points of failure (service provider, node, or arc). Finally, it is cost optimal, so that customers can be passed the benefit from an efficiently set up network. Amazon Shipping is hiring Applied Scientists to help improve our ability to plan and execute package movements. As an Applied Scientist in Amazon Shipping, you will work on multiple challenging machine learning problems spread across a wide spectrum of business problems. You will build ML models to help our transportation cost auditing platforms effectively audit off-manifest (discrepancies between planned and actual shipping cost). You will build models to improve the quality of financial and planning data by accurately predicting ship cost at a package level. Your models will help forecast the packages required to be picked from shipper warehouses to reduce First Mile shipping cost. Using signals from within the transportation network (such as network load, and velocity of movements derived from package scan events) and outside (such as weather signals), you will build models that predict delivery delay for every package. These models will help improve buyer experience by triggering early corrective actions, and generating proactive customer notifications. Your role will require you to demonstrate Think Big and Invent and Simplify, by refining and translating Transportation domain-related business problems into one or more Machine Learning problems. You will use techniques from a wide array of machine learning paradigms, such as supervised, unsupervised, semi-supervised and reinforcement learning. Your model choices will include, but not be limited to, linear/logistic models, tree based models, deep learning models, ensemble models, and Q-learning models. You will use techniques such as LIME and SHAP to make your models interpretable for your customers. You will employ a family of reusable modelling solutions to ensure that your ML solution scales across multiple regions (such as North America, Europe, Asia) and package movement types (such as small parcel movements and truck movements). You will partner with Applied Scientists and Research Scientists from other teams in US and India working on related business domains. Your models are expected to be of production quality, and will be directly used in production services. You will work as part of a diverse data science and engineering team comprising of other Applied Scientists, Software Development Engineers and Business Intelligence Engineers. You will participate in the Amazon ML community by authoring scientific papers and submitting them to Machine Learning conferences. You will mentor Applied Scientists and Software Development Engineers having a strong interest in ML. You will also be called upon to provide ML consultation outside your team for other problem statements. If you are excited by this charter, come join us! BASIC QUALIFICATIONS - 3+ years of building machine learning models for business application experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. - Master's degree in math/statistics/engineering or other equivalent quantitative discipline, or PhD
Jul 16, 2025
Full time
Our customers have immense faith in our ability to deliver packages timely and as expected. A well planned network seamlessly scales to handle millions of package movements a day. It has monitoring mechanisms that detect failures before they even happen (such as predicting network congestion, operations breakdown), and perform proactive corrective actions. When failures do happen, it has inbuilt redundancies to mitigate impact (such as determine other routes or service providers that can handle the extra load), and avoids relying on single points of failure (service provider, node, or arc). Finally, it is cost optimal, so that customers can be passed the benefit from an efficiently set up network. Amazon Shipping is hiring Applied Scientists to help improve our ability to plan and execute package movements. As an Applied Scientist in Amazon Shipping, you will work on multiple challenging machine learning problems spread across a wide spectrum of business problems. You will build ML models to help our transportation cost auditing platforms effectively audit off-manifest (discrepancies between planned and actual shipping cost). You will build models to improve the quality of financial and planning data by accurately predicting ship cost at a package level. Your models will help forecast the packages required to be picked from shipper warehouses to reduce First Mile shipping cost. Using signals from within the transportation network (such as network load, and velocity of movements derived from package scan events) and outside (such as weather signals), you will build models that predict delivery delay for every package. These models will help improve buyer experience by triggering early corrective actions, and generating proactive customer notifications. Your role will require you to demonstrate Think Big and Invent and Simplify, by refining and translating Transportation domain-related business problems into one or more Machine Learning problems. You will use techniques from a wide array of machine learning paradigms, such as supervised, unsupervised, semi-supervised and reinforcement learning. Your model choices will include, but not be limited to, linear/logistic models, tree based models, deep learning models, ensemble models, and Q-learning models. You will use techniques such as LIME and SHAP to make your models interpretable for your customers. You will employ a family of reusable modelling solutions to ensure that your ML solution scales across multiple regions (such as North America, Europe, Asia) and package movement types (such as small parcel movements and truck movements). You will partner with Applied Scientists and Research Scientists from other teams in US and India working on related business domains. Your models are expected to be of production quality, and will be directly used in production services. You will work as part of a diverse data science and engineering team comprising of other Applied Scientists, Software Development Engineers and Business Intelligence Engineers. You will participate in the Amazon ML community by authoring scientific papers and submitting them to Machine Learning conferences. You will mentor Applied Scientists and Software Development Engineers having a strong interest in ML. You will also be called upon to provide ML consultation outside your team for other problem statements. If you are excited by this charter, come join us! BASIC QUALIFICATIONS - 3+ years of building machine learning models for business application experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. - Master's degree in math/statistics/engineering or other equivalent quantitative discipline, or PhD
Applied Scientist II, AWS AI Training and Resilience Job ID: Amazon Development Center U.S., Inc. Join us in a historic endeavor to make Generative AI accessible to the world with breakthrough research! The AWS AI team has a world-leading team of researchers and academics, and we are looking for world-class colleagues to join us and make the AI revolution happen. Our team of scientists drives the innovation that enables external and internal SageMaker customers to train their next generation models on both GPU and Trainium instances. As part of the team, we expect that you will develop innovative solutions to hard problems, and publish your findings at peer reviewed conferences and workshops. AWS is the world-leading provider of cloud services, has fostered the creation and growth of countless new businesses, and is a positive force for good. Our customers bring problems which will give Applied Scientists like you endless opportunities to see your research have a positive and immediate impact in the world. You will have the opportunity to partner with technology and business teams to solve real-world problems, have access to virtually endless data and computational resources, and to world-class engineers and developers that can help bring your ideas into the world. Key job responsibilities - Research and implement systems to improve resilience in machine learning applications About the team 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. Utility Computing (UC) AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. 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. Mentorship and 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. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred 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. BASIC QUALIFICATIONS - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing PREFERRED QUALIFICATIONS - Experience using Unix/Linux - Experience in professional software development Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 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. Important FAQs for current Government employees Before proceeding, please review the following FAQs Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Jul 16, 2025
Full time
Applied Scientist II, AWS AI Training and Resilience Job ID: Amazon Development Center U.S., Inc. Join us in a historic endeavor to make Generative AI accessible to the world with breakthrough research! The AWS AI team has a world-leading team of researchers and academics, and we are looking for world-class colleagues to join us and make the AI revolution happen. Our team of scientists drives the innovation that enables external and internal SageMaker customers to train their next generation models on both GPU and Trainium instances. As part of the team, we expect that you will develop innovative solutions to hard problems, and publish your findings at peer reviewed conferences and workshops. AWS is the world-leading provider of cloud services, has fostered the creation and growth of countless new businesses, and is a positive force for good. Our customers bring problems which will give Applied Scientists like you endless opportunities to see your research have a positive and immediate impact in the world. You will have the opportunity to partner with technology and business teams to solve real-world problems, have access to virtually endless data and computational resources, and to world-class engineers and developers that can help bring your ideas into the world. Key job responsibilities - Research and implement systems to improve resilience in machine learning applications About the team 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. Utility Computing (UC) AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. 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. Mentorship and 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. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred 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. BASIC QUALIFICATIONS - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing PREFERRED QUALIFICATIONS - Experience using Unix/Linux - Experience in professional software development Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 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. Important FAQs for current Government employees Before proceeding, please review the following FAQs Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Startups Applied Scientist, Generative AI Innovation & Delivery Team Job ID: AWS EMEA SARL (UK Branch) Do you have deep technical GenAI background in the Startup space? Are you looking to work with world leading startups at the forefront of Generative AI? Join the The Generative AI Innovation and Delivery Team (GenAIID) Startup Organization! The Generative AI Innovation and Delivery mission is to drive startup innovation by making AWS the preferred GenAI Platform for startups to experiment, build and scale their products. We are a team of strategists, scientists, engineers, and architects working closely with worlds' leading startups across GenAI model providers, GenAI tooling and applications. We partner closely with startups to address their GenAI infrastructure needs, evolve their GenAI product and infuse GenAI into their existing SaaS applications. In this process we provide guidance on best practices for applying generative AI responsibly and cost efficiently. You will work directly with startups 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 Applied Scientists passionate about helping startups use GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. Key job responsibilities Collaborate with AI/ML scientists and engineers to research, design, develop, and evaluate generative AI solutions to address real-world opportunities 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 Help customers optimize their solutions through approaches such as model selection, training or tuning, right-sizing, distillation, and hardware optimization Develop a deep understanding of startups GenAI ecosystem and their evolving technical needs to drive improvements to startups program and resulting customer experience Provide customer and market feedback to product and engineering teams to help define product direction Unlock scale by identifying patterns and establishing reusable assets to accelerate customer impact of future engagements About the team 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. BASIC QUALIFICATIONS PhD, or Master's degree and 6+ years of applied research 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 peer-reviewed conferences or journals PREFERRED QUALIFICATIONS Experience working in a startup or with startup customers Experience with design, deployment, and evaluation of Large Language Model (LLM)-powered agents and tools and orchestration approaches Hands-on experience with model customization techniques such as fine-tuning, continued pre-training, and LLM-as-judge evaluation Experience with optimization of models on GPUs, Amazon Silicon, or TPUs, also 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 Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. 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.
Jul 16, 2025
Full time
Startups Applied Scientist, Generative AI Innovation & Delivery Team Job ID: AWS EMEA SARL (UK Branch) Do you have deep technical GenAI background in the Startup space? Are you looking to work with world leading startups at the forefront of Generative AI? Join the The Generative AI Innovation and Delivery Team (GenAIID) Startup Organization! The Generative AI Innovation and Delivery mission is to drive startup innovation by making AWS the preferred GenAI Platform for startups to experiment, build and scale their products. We are a team of strategists, scientists, engineers, and architects working closely with worlds' leading startups across GenAI model providers, GenAI tooling and applications. We partner closely with startups to address their GenAI infrastructure needs, evolve their GenAI product and infuse GenAI into their existing SaaS applications. In this process we provide guidance on best practices for applying generative AI responsibly and cost efficiently. You will work directly with startups 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 Applied Scientists passionate about helping startups use GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. Key job responsibilities Collaborate with AI/ML scientists and engineers to research, design, develop, and evaluate generative AI solutions to address real-world opportunities 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 Help customers optimize their solutions through approaches such as model selection, training or tuning, right-sizing, distillation, and hardware optimization Develop a deep understanding of startups GenAI ecosystem and their evolving technical needs to drive improvements to startups program and resulting customer experience Provide customer and market feedback to product and engineering teams to help define product direction Unlock scale by identifying patterns and establishing reusable assets to accelerate customer impact of future engagements About the team 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. BASIC QUALIFICATIONS PhD, or Master's degree and 6+ years of applied research 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 peer-reviewed conferences or journals PREFERRED QUALIFICATIONS Experience working in a startup or with startup customers Experience with design, deployment, and evaluation of Large Language Model (LLM)-powered agents and tools and orchestration approaches Hands-on experience with model customization techniques such as fine-tuning, continued pre-training, and LLM-as-judge evaluation Experience with optimization of models on GPUs, Amazon Silicon, or TPUs, also 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 Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. 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.
