About the role The Partnership is the UK's most successful omni-channel retailer which includes two of the UKs most loved department store and grocery brands with annual sales revenues in excess of £12B.Our Engineering practice includes 80+ teams, working on everything from Cloud Platforms to Mobile Apps, from E-Commerce functionality to Machine Learning.Our Engineers work collaboratively and share knowledge, and learning is extremely important to us. We support our Engineers to continuously improve their skills and keep abreast of the latest technologies.John Lewis shops and contact centres are responsible for delivering a market leading omnichannel customer experience for our shop and contact centre customers. In the fast moving environment of retail, shops and contact centres are critical for customer experience as well as business productivity & efficiency.The technology currently supporting John Lewis shops and contact centres is a blend of commercially available third-party platforms, bespoke in-house systems, and legacy applications that we are actively modernising, all interconnected through complex integrations with each other and other areas of the business. Find out more about being a Software Engineer in the Partnership, and the technology we use. At a glance Contract type - This position is a permanent contract. Salary - £75,000 - £140,000 Flexible Working: This is a hybrid working role, therefore your time will primarily be split between working from home (in the UK) and London Head Office. However, there will also be an expectation to visit other locations as the need arises. While most engineers visit the office once or twice a month, occasionally business needs may require more frequent attendance. Our offices are open five days a week for those who prefer to work from the office more regularly. Key Responsibilities: As a Principal Engineer, you will play a pivotal role in aligning the engineering strategy and roadmap for John Lewis shops and contact centres with the overarching business objectives. Your influence will extend to key decisions that shape the operation of shop and contact centre systems and guide how engineering drives change across this complex business area. This will involve influencing how work is managed-whether agile, waterfall, or hybrid- including the effectiveness and measurement of teams. This includes ensuring that engineering practices align with the broader Partnership engineering strategy and influencing team structure, balance, and resource models by providing key input on ways of working and team maturity to deliver optimal engineering capabilities A key objective of the role is to help lead the modernisation and maintainability of technology for this part of the business, including opportunities to solve business and customer problems through innovative technologies. Foundational to this will be helping to establish Product ways of working. To do this you will collaborate closely with key stakeholders such as Product Leads, Delivery and Operations Managers, Infrastructure Leads and Enterprise Architects as well as Senior Staff Engineers and specialist engineering teams. You will also work closely with other Principal Engineers who may be responsible for other business areas or for deep engineering specialisms such as cloud or data. Successful candidates will have a passion for using technology to deliver outstanding and innovative software solutions, and will have a track record of working with teams delivering complex, performant, high quality software. Essential skills/experience you'll need: Strong engineering background with real world experience of modern software engineering techniques such as Continuous Delivery and ideally experience of using strategic patterns of Domain Driven Design. Experience of the technical implementation of package solutions into complex environments. Experience in senior leadership role, leading across multiple teams, working with senior stakeholders and influencing multi-million pound investments in engineering Knowledge/experience of working with different architectural styles (e.g. monolith, service based, microservices) and integration patterns when working with different platforms (broker models, RESTful, streams, event based). Knowledge/experience of techniques used to increase resilience and/or scalability of systems. Experience of applying techniques from Lean and Systems Thinking. Desirable skills/experience you may have Retail or Contact Centre experience Working with legacy systems Will have been a hands-on software engineer for part of their career. Engineering management role, working across multiple teams or architecture role working across a large part of an enterprise. Next Steps The application form consists of a CV upload followed by application questions. Please ensure you refresh the page each time you complete a task to ensure you complete everything that you need to do before the closing date. If you are successful following your initial application, the next stages are: a screening interview followed by a formal interview and up to 2 informal interviews. You'll be asked about any adjustments you might need to support the recruitment process. Let us know, and we'll be sure to discuss it with you. About The Partnership We're the largest employee owned business in the UK and home of our cherished brands, John Lewis and Waitrose. We're not just employees, we're Partners, driven by our purpose to build a happier world. As we look to our future, there's never been a more exciting time to join us. We're ruthlessly focused on being brilliant at retail. We continue to innovate, adapt and diversify. Never Knowingly Undersold on price, quality and service in John Lewis and passionately serving food-lovers in Waitrose. As Partners we all share the responsibility of ownership and in its rewards. We use our voices to contribute to our success, working together through the good and challenging times, holding true to our behaviours and treating everyone with kindness and respect. We all own making the Partnership somewhere we belong. Embracing our differences and creating an environment where we're free to be ourselves and can THRIVE. Growing ourselves individually, and as a collective. As Partners, we make all the difference. And, we all own it. Important points to note: It's important to note that some of our roles are subject to pre-employment vetting (which may include DBS checks for successful candidates). If required, you'll be informed and provided with information about vetting during the recruitment process and we encourage you to complete any vetting documents quickly to avoid delays. Any DBS checks required will be carried out by a third-party registered body and financial probity checks may also be required for some of our roles. We also recommend that you apply as soon as possible as vacancies can close early if we see a high number of applicants. We want all of our Partners to have a good work-life balance and we support flexible working. This might mean flexible or compressed hours, job sharing or shorter hour contracts, where possible. Please discuss this further with the hiring manager during your interview.
Jul 25, 2025
Full time
About the role The Partnership is the UK's most successful omni-channel retailer which includes two of the UKs most loved department store and grocery brands with annual sales revenues in excess of £12B.Our Engineering practice includes 80+ teams, working on everything from Cloud Platforms to Mobile Apps, from E-Commerce functionality to Machine Learning.Our Engineers work collaboratively and share knowledge, and learning is extremely important to us. We support our Engineers to continuously improve their skills and keep abreast of the latest technologies.John Lewis shops and contact centres are responsible for delivering a market leading omnichannel customer experience for our shop and contact centre customers. In the fast moving environment of retail, shops and contact centres are critical for customer experience as well as business productivity & efficiency.The technology currently supporting John Lewis shops and contact centres is a blend of commercially available third-party platforms, bespoke in-house systems, and legacy applications that we are actively modernising, all interconnected through complex integrations with each other and other areas of the business. Find out more about being a Software Engineer in the Partnership, and the technology we use. At a glance Contract type - This position is a permanent contract. Salary - £75,000 - £140,000 Flexible Working: This is a hybrid working role, therefore your time will primarily be split between working from home (in the UK) and London Head Office. However, there will also be an expectation to visit other locations as the need arises. While most engineers visit the office once or twice a month, occasionally business needs may require more frequent attendance. Our offices are open five days a week for those who prefer to work from the office more regularly. Key Responsibilities: As a Principal Engineer, you will play a pivotal role in aligning the engineering strategy and roadmap for John Lewis shops and contact centres with the overarching business objectives. Your influence will extend to key decisions that shape the operation of shop and contact centre systems and guide how engineering drives change across this complex business area. This will involve influencing how work is managed-whether agile, waterfall, or hybrid- including the effectiveness and measurement of teams. This includes ensuring that engineering practices align with the broader Partnership engineering strategy and influencing team structure, balance, and resource models by providing key input on ways of working and team maturity to deliver optimal engineering capabilities A key objective of the role is to help lead the modernisation and maintainability of technology for this part of the business, including opportunities to solve business and customer problems through innovative technologies. Foundational to this will be helping to establish Product ways of working. To do this you will collaborate closely with key stakeholders such as Product Leads, Delivery and Operations Managers, Infrastructure Leads and Enterprise Architects as well as Senior Staff Engineers and specialist engineering teams. You will also work closely with other Principal Engineers who may be responsible for other business areas or for deep engineering specialisms such as cloud or data. Successful candidates will have a passion for using technology to deliver outstanding and innovative software solutions, and will have a track record of working with teams delivering complex, performant, high quality software. Essential skills/experience you'll need: Strong engineering background with real world experience of modern software engineering techniques such as Continuous Delivery and ideally experience of using strategic patterns of Domain Driven Design. Experience of the technical implementation of package solutions into complex environments. Experience in senior leadership role, leading across multiple teams, working with senior stakeholders and influencing multi-million pound investments in engineering Knowledge/experience of working with different architectural styles (e.g. monolith, service based, microservices) and integration patterns when working with different platforms (broker models, RESTful, streams, event based). Knowledge/experience of techniques used to increase resilience and/or scalability of systems. Experience of applying techniques from Lean and Systems Thinking. Desirable skills/experience you may have Retail or Contact Centre experience Working with legacy systems Will have been a hands-on software engineer for part of their career. Engineering management role, working across multiple teams or architecture role working across a large part of an enterprise. Next Steps The application form consists of a CV upload followed by application questions. Please ensure you refresh the page each time you complete a task to ensure you complete everything that you need to do before the closing date. If you are successful following your initial application, the next stages are: a screening interview followed by a formal interview and up to 2 informal interviews. You'll be asked about any adjustments you might need to support the recruitment process. Let us know, and we'll be sure to discuss it with you. About The Partnership We're the largest employee owned business in the UK and home of our cherished brands, John Lewis and Waitrose. We're not just employees, we're Partners, driven by our purpose to build a happier world. As we look to our future, there's never been a more exciting time to join us. We're ruthlessly focused on being brilliant at retail. We continue to innovate, adapt and diversify. Never Knowingly Undersold on price, quality and service in John Lewis and passionately serving food-lovers in Waitrose. As Partners we all share the responsibility of ownership and in its rewards. We use our voices to contribute to our success, working together through the good and challenging times, holding true to our behaviours and treating everyone with kindness and respect. We all own making the Partnership somewhere we belong. Embracing our differences and creating an environment where we're free to be ourselves and can THRIVE. Growing ourselves individually, and as a collective. As Partners, we make all the difference. And, we all own it. Important points to note: It's important to note that some of our roles are subject to pre-employment vetting (which may include DBS checks for successful candidates). If required, you'll be informed and provided with information about vetting during the recruitment process and we encourage you to complete any vetting documents quickly to avoid delays. Any DBS checks required will be carried out by a third-party registered body and financial probity checks may also be required for some of our roles. We also recommend that you apply as soon as possible as vacancies can close early if we see a high number of applicants. We want all of our Partners to have a good work-life balance and we support flexible working. This might mean flexible or compressed hours, job sharing or shorter hour contracts, where possible. Please discuss this further with the hiring manager during your interview.
Principal Engineer (John Lewis Commercial) page is loaded Principal Engineer (John Lewis Commercial) Apply locations London Central Office posted on Posted 2 Days Ago job requisition id R-178546 ABOUT THE ROLE The Partnership is the UK's most successful omni-channel retailer which includes two of the UKs most loved department store and grocery brands with annual sales revenues in excess of £12B. Our Engineering practice includes 80+ teams, working on everything from Cloud Platforms to Mobile Apps, from E-Commerce functionality to Machine Learning. Our Engineers work collaboratively and share knowledge, and learning is extremely important to us. We support our Engineers to continuously improve their skills and keep abreast of the latest technologies. John Lewis Commercial is responsible for ensuring that John Lewis have the right products to sell, at the right price across all John Lewis sales channels. It is also responsible for making sure the business has enough stock for customers in the place they want it, across our omnichannel business The technology supporting John Lewis Commercial is a blend of commercially available third-party platforms, bespoke in-house systems, and tightly coupled mainframe legacy applications, all interconnected through integrations with other areas of the business. These systems must not only be highly resilient but also adaptable, enabling us to enhance operational efficiency and respond to evolving business needs. . Find out more about being a Software Engineer in the Partnership, and the technology we use. At a glance Contract type - This position is a permanent contract. Salary - £75,000 - £140,000 Flexible Working: This is a hybrid working role, therefore your time will primarily be split between working from home (in the UK) and London Head Office. However, there will also be an expectation to visit other locations as the need arises. While most engineers visit the office once or twice a month, occasionally business needs may require more frequent attendance. Our offices are open five days a week for those who prefer to work from the office more regularly. Key Responsibilities: As a Principal Engineer, you will play a pivotal role in aligning the engineering strategy and roadmap for the John Lewis Commercial with the overarching business objectives. Your influence will extend to key decisions that shape the operation of John Lewis Commercial systems and guide how engineering drives change across this complex business area. This will involve influencing how work is managed-whether agile, waterfall, or hybrid- including the effectiveness and measurement of teams. This includes ensuring that engineering practices align with the broader Partnership engineering strategy and influencing team structure, balance, and resource models by providing key input on ways of working and team maturity to deliver optimal engineering capabilities. A key objective of the role is to modernise and simplify a complex heritage tech stack to enable both business agility and productivity, as well as improve system maintainability. Foundational to this will be helping to establish Product ways of working. To do this you will collaborate closely with key stakeholders such as Product Leads, Delivery and Operations Managers, Infrastructure Leads and Enterprise Architects as well as Senior Staff Engineers and specialist engineering teams. You will also work closely with other Principal Engineers who may be responsible for other business areas or for deep engineering specialisms such as cloud or data. Successful candidates will have a passion for using technology to deliver outstanding and innovative software solutions, and will have a track record of working with teams delivering complex, performant, high quality software. Essential skills/experience you'll need: Strong engineering background with real world experience of modern software engineering techniques such as Continuous Delivery and ideally experience of using strategic patterns of Domain Driven Design. Experience of the technical implementation of package solutions into large complex environments with a mix of modern and heritage technology. Experience in senior leadership role, leading across multiple teams, working with senior stakeholders and influencing multi-million pound investments in engineering Knowledge/experience of working with different architectural styles (e.g. monolith, service based, microservices) and integration patterns when working with different platforms (broker models, RESTful, streams, event based). Knowledge/experience of techniques used to increase resilience and/or scalability of systems. Experience of applying techniques from Lean and Systems Thinking. Desirable skills/experience you may have Retail experience Will have been a hands-on software engineer for part of their career. Engineering management role, working across multiple teams or architecture role working across a large part of an enterprise. Next Steps The application form consists of a CV upload followed by application questions. Please ensure you refresh the page each time you complete a task to ensure you complete everything that you need to do before the closing date. If you are successful following your initial application, the next stages are: a screening interview followed by a formal interview and up to 2 informal interviews. You'll be asked about any adjustments you might need to support the recruitment process. Let us know, and we'll be sure to discuss it with you. CF1 . Closing Date: August 10, 2025 Pay: £75,000.00 - £140,000.00 Annual Contract Type: Permanent Hours of Work: 35 Job Level: Partnership Level 5 Where You'll Be Working: London Central Office, 1 Drummond Gate, London SW1V 2QQ ABOUT THE PARTNERSHIP We're the largest employee owned business in the UK and home of our cherished brands, John Lewis and Waitrose. We're not just employees, we're Partners, driven by our purpose to build a happier world. As we look to our future, there's never been a more exciting time to join us. We're ruthlessly focused on being brilliant at retail. We continue to innovate, adapt and diversify. Never Knowingly Undersold on price, quality and service in John Lewis and passionately serving food-lovers in Waitrose. As Partners we all share the responsibility of ownership and in its rewards. We use our voices to contribute to our success, working together through the good and challenging times, holding true to our behaviours and treating everyone with kindness and respect. We all own making the Partnership somewhere we belong. Embracing our differences and creating an environment where we're free to be ourselves and can THRIVE. Growing ourselves individually, and as a collective. As Partners, we make all the difference. And, we all own it. Important points to note: It's important to note that some of our roles are subject to pre-employment vetting (which may include DBS checks for successful candidates). If required, you'll be informed and provided with information about vetting during the recruitment process and we encourage you to complete any vetting documents quickly to avoid delays. Any DBS checks required will be carried out by a third-party registered body and financial probity checks may also be required for some of our roles. We also recommend that you apply as soon as possible as vacancies can close early if we see a high number of applicants. We want all of our Partners to have a good work-life balance and we support flexible working. This might mean flexible or compressed hours, job sharing or shorter hour contracts, where possible. Please discuss this further with the hiring manager during your interview. Similar Jobs (2) Principal Engineer (John Lewis Shop and Contact Centre) locations London Central Office posted on Posted 2 Days Ago Head of Retail Media, John Lewis locations London Central Office posted on Posted 6 Days Ago At the John Lewis Partnership we're not just employees, we're co-owners, and that's why we're called Partners. Being a Partner means not only do we all collectively share the responsibilities of being the UK's largest employee-owned business, but we also share in its rewards and successes. It's this ownership model that makes the Partnership a very unique place to work.
Jul 25, 2025
Full time
Principal Engineer (John Lewis Commercial) page is loaded Principal Engineer (John Lewis Commercial) Apply locations London Central Office posted on Posted 2 Days Ago job requisition id R-178546 ABOUT THE ROLE The Partnership is the UK's most successful omni-channel retailer which includes two of the UKs most loved department store and grocery brands with annual sales revenues in excess of £12B. Our Engineering practice includes 80+ teams, working on everything from Cloud Platforms to Mobile Apps, from E-Commerce functionality to Machine Learning. Our Engineers work collaboratively and share knowledge, and learning is extremely important to us. We support our Engineers to continuously improve their skills and keep abreast of the latest technologies. John Lewis Commercial is responsible for ensuring that John Lewis have the right products to sell, at the right price across all John Lewis sales channels. It is also responsible for making sure the business has enough stock for customers in the place they want it, across our omnichannel business The technology supporting John Lewis Commercial is a blend of commercially available third-party platforms, bespoke in-house systems, and tightly coupled mainframe legacy applications, all interconnected through integrations with other areas of the business. These systems must not only be highly resilient but also adaptable, enabling us to enhance operational efficiency and respond to evolving business needs. . Find out more about being a Software Engineer in the Partnership, and the technology we use. At a glance Contract type - This position is a permanent contract. Salary - £75,000 - £140,000 Flexible Working: This is a hybrid working role, therefore your time will primarily be split between working from home (in the UK) and London Head Office. However, there will also be an expectation to visit other locations as the need arises. While most engineers visit the office once or twice a month, occasionally business needs may require more frequent attendance. Our offices are open five days a week for those who prefer to work from the office more regularly. Key Responsibilities: As a Principal Engineer, you will play a pivotal role in aligning the engineering strategy and roadmap for the John Lewis Commercial with the overarching business objectives. Your influence will extend to key decisions that shape the operation of John Lewis Commercial systems and guide how engineering drives change across this complex business area. This will involve influencing how work is managed-whether agile, waterfall, or hybrid- including the effectiveness and measurement of teams. This includes ensuring that engineering practices align with the broader Partnership engineering strategy and influencing team structure, balance, and resource models by providing key input on ways of working and team maturity to deliver optimal engineering capabilities. A key objective of the role is to modernise and simplify a complex heritage tech stack to enable both business agility and productivity, as well as improve system maintainability. Foundational to this will be helping to establish Product ways of working. To do this you will collaborate closely with key stakeholders such as Product Leads, Delivery and Operations Managers, Infrastructure Leads and Enterprise Architects as well as Senior Staff Engineers and specialist engineering teams. You will also work closely with other Principal Engineers who may be responsible for other business areas or for deep engineering specialisms such as cloud or data. Successful candidates will have a passion for using technology to deliver outstanding and innovative software solutions, and will have a track record of working with teams delivering complex, performant, high quality software. Essential skills/experience you'll need: Strong engineering background with real world experience of modern software engineering techniques such as Continuous Delivery and ideally experience of using strategic patterns of Domain Driven Design. Experience of the technical implementation of package solutions into large complex environments with a mix of modern and heritage technology. Experience in senior leadership role, leading across multiple teams, working with senior stakeholders and influencing multi-million pound investments in engineering Knowledge/experience of working with different architectural styles (e.g. monolith, service based, microservices) and integration patterns when working with different platforms (broker models, RESTful, streams, event based). Knowledge/experience of techniques used to increase resilience and/or scalability of systems. Experience of applying techniques from Lean and Systems Thinking. Desirable skills/experience you may have Retail experience Will have been a hands-on software engineer for part of their career. Engineering management role, working across multiple teams or architecture role working across a large part of an enterprise. Next Steps The application form consists of a CV upload followed by application questions. Please ensure you refresh the page each time you complete a task to ensure you complete everything that you need to do before the closing date. If you are successful following your initial application, the next stages are: a screening interview followed by a formal interview and up to 2 informal interviews. You'll be asked about any adjustments you might need to support the recruitment process. Let us know, and we'll be sure to discuss it with you. CF1 . Closing Date: August 10, 2025 Pay: £75,000.00 - £140,000.00 Annual Contract Type: Permanent Hours of Work: 35 Job Level: Partnership Level 5 Where You'll Be Working: London Central Office, 1 Drummond Gate, London SW1V 2QQ ABOUT THE PARTNERSHIP We're the largest employee owned business in the UK and home of our cherished brands, John Lewis and Waitrose. We're not just employees, we're Partners, driven by our purpose to build a happier world. As we look to our future, there's never been a more exciting time to join us. We're ruthlessly focused on being brilliant at retail. We continue to innovate, adapt and diversify. Never Knowingly Undersold on price, quality and service in John Lewis and passionately serving food-lovers in Waitrose. As Partners we all share the responsibility of ownership and in its rewards. We use our voices to contribute to our success, working together through the good and challenging times, holding true to our behaviours and treating everyone with kindness and respect. We all own making the Partnership somewhere we belong. Embracing our differences and creating an environment where we're free to be ourselves and can THRIVE. Growing ourselves individually, and as a collective. As Partners, we make all the difference. And, we all own it. Important points to note: It's important to note that some of our roles are subject to pre-employment vetting (which may include DBS checks for successful candidates). If required, you'll be informed and provided with information about vetting during the recruitment process and we encourage you to complete any vetting documents quickly to avoid delays. Any DBS checks required will be carried out by a third-party registered body and financial probity checks may also be required for some of our roles. We also recommend that you apply as soon as possible as vacancies can close early if we see a high number of applicants. We want all of our Partners to have a good work-life balance and we support flexible working. This might mean flexible or compressed hours, job sharing or shorter hour contracts, where possible. Please discuss this further with the hiring manager during your interview. Similar Jobs (2) Principal Engineer (John Lewis Shop and Contact Centre) locations London Central Office posted on Posted 2 Days Ago Head of Retail Media, John Lewis locations London Central Office posted on Posted 6 Days Ago At the John Lewis Partnership we're not just employees, we're co-owners, and that's why we're called Partners. Being a Partner means not only do we all collectively share the responsibilities of being the UK's largest employee-owned business, but we also share in its rewards and successes. It's this ownership model that makes the Partnership a very unique place to work.
Firmware Engineer - Complex Technology Newton Colmore is working with a research company in Cambridge, and we are searching for an electronics and firmware engineer to join their team. This company work on highly complex research programmes, developing devices and applications for the defence and security industries. They are now looking for an engineer to join the team and take lead on electronics and firmware-focused research. You will be working alongside physicists, mechanical engineers and fellow electronics engineers in world-class labs and workspaces in Cambridge. Your work will be highly confidential and top secret, meaning that you will need to attain security clearance in order to be successful in this role. I am unable to disclose any project examples in this advert but the company would be able to shed more light on current and past projects throughout the interview process. The company offer tailored salaries to meet your requirements, which come along with performance bonuses and market-leading employer pension contributions, plus a variety of other benefits. This company dedicate time and resources to their engineer's development. It is expected that you will have prior experience with developing electronics and firmware solutions for complex devices, coupled with strong academics. The role is open on experience level, as the company prioritise skills over years of experience and so it can be tailored to fit the right engineer. For more information, make a confidential application now and a member of our team will be in touch with more details. Newton Colmore Consulting is a specialist recruitment company within the Medical Devices, Scientific Engineering, Data Science, Machine Learning, Scientific Software, Robotics, Science, Electronics Design, New Product Design, Human Factors, Regulatory Affairs, Quality Assurance and Field Service Engineering sectors.
Jul 25, 2025
Full time
Firmware Engineer - Complex Technology Newton Colmore is working with a research company in Cambridge, and we are searching for an electronics and firmware engineer to join their team. This company work on highly complex research programmes, developing devices and applications for the defence and security industries. They are now looking for an engineer to join the team and take lead on electronics and firmware-focused research. You will be working alongside physicists, mechanical engineers and fellow electronics engineers in world-class labs and workspaces in Cambridge. Your work will be highly confidential and top secret, meaning that you will need to attain security clearance in order to be successful in this role. I am unable to disclose any project examples in this advert but the company would be able to shed more light on current and past projects throughout the interview process. The company offer tailored salaries to meet your requirements, which come along with performance bonuses and market-leading employer pension contributions, plus a variety of other benefits. This company dedicate time and resources to their engineer's development. It is expected that you will have prior experience with developing electronics and firmware solutions for complex devices, coupled with strong academics. The role is open on experience level, as the company prioritise skills over years of experience and so it can be tailored to fit the right engineer. For more information, make a confidential application now and a member of our team will be in touch with more details. Newton Colmore Consulting is a specialist recruitment company within the Medical Devices, Scientific Engineering, Data Science, Machine Learning, Scientific Software, Robotics, Science, Electronics Design, New Product Design, Human Factors, Regulatory Affairs, Quality Assurance and Field Service Engineering sectors.
Head of AI Acceleration & Delivery Location: RG7 4PR , located between Reading and Basingstoke, with free onsite parking . Package: Competitive leadership salary depending on experience, performance related bonus, flexible benefit scheme. Working pattern: AWE operates a 9-day working fortnight. We will consider flexible working requests so that your work may fit in with your lifestyle. Just let us know your preferred working pattern on your application. Let us introduce the role We are seeking a visionary and strategic leader to join our team as the Head of AI Adoption. The successful candidate will lead the integration of artificial intelligence technologies across our organisation with an emphasis on driving innovation, efficiency, and productivity. The role will lead AI adoption across corporate functions, support engineering and operations colleagues drive AI adoption in these critical functions, whilst collaborating and supporting Science and NTR colleagues with their existing high-performance computing (HPC), machine learning (ML) and AI initiatives. This role requires deep understanding and significant experience of AI technologies, ideally with application in an engineering or manufacturing environment, and the ability to lead cross-functional teams. Some of the Key Responsibilities: Developing AI Strategy : Crafting a comprehensive AI strategy that aligns with the organization's goals and objectives. Stakeholder Engagement: Communicating the benefits and limitations of AI to both technical and non 1 technical stakeholders to build buy-in and support, lead engagement with key external stakeholders, including MoD, Government, DAIC Implementation Roadmap : Creating a detailed roadmap for AI adoption across a range of use cases, including timelines, necessary infrastructure, tools, and personnel Identifying Use Cases : Collaborating with business leaders to uncover and prioritize AI use cases with high business value and feasibility Monitoring and Evaluation : Overseeing AI experiments and projects to ensure they meet desired outcomes and inform best practices Training and Enablement : Providing resources, training, and self-service tools to enable both professional and citizen developers within the organization Ethical AI Practices : Ensure ethical adoption of AI, including ethical risk assessments, as well as contribute to AWE guidance on AI ethics Strategy Development : Develop and execute a comprehensive AI adoption strategy aligned with the company's engineering, scientific, and manufacturing goals. Identify and prioritize AI opportunities to enhance operational efficiency, product quality, and customer satisfaction Leadership and Collaboration : Lead a multidisciplinary team of AI specialists, data scientists, engineers, and manufacturing experts from across our organisation. Foster a culture of innovation and continuous improvement within the organization. Collaborate with other departments, including Operations, Engineering and Science & High Performance Computing (HPC), to ensure seamless AI integration AI Implementation : Oversee the design, development, and deployment of AI solutions in engineering and manufacturing processes. Ensure AI solutions meet regulatory standards and industry best practices. Monitor and evaluate the performance of AI systems and processes, making data-driven adjustments as necessary Training and Support : Provide training and support to AWE employees on AI technologies and their applications. Ensure AI team members are equipped with the necessary skills and knowledge to leverage AI effectively Research and Development : Monitor emerging AI trends and technologies relevant to engineering and manufacturing. Drive innovative AI solutions to maintain the company's competitive edge AI Ethics & Security : Maintain a robust AI ethics framework built on best practice standards Ensure compliance with the framework including maintenance of ethics risk assessments Engage with colleagues across the organisation (e.g. Security and Legal) to both develop proportionate AI centric policies and design appropriate mitigations for the AI risks Whilst not to be considered a tick list, we'd like you to have experience in some of the following: Educated to postgraduate level or equivalent experience Experience of leading, managing, and motivating teams to deliver Proven experience in leading AI projects within an engineering and manufacturing environment Extensive experience in project management, team leadership, and strategic planning Strong understanding of AI technologies, machine learning algorithms, and data analytics Evidence of effective stakeholder management in a complex multi 1 stakeholder environment Track record of driving delivery, continuous improvement, and sustained performance focusing activities on key business issues and outcomes Evidence of management interpretation and presentation of performance focusing activities on key business issues and outcomes Evidence of leading and managing change Experience in problem solving to resolve, minimise, or mitigate risk and maximise opportunities Excellent leadership skills with a focus on driving high performance and development The ability to translate complex technical concepts into practical solutions Strong problem-solving and analytical skills Proficiency in programming languages commonly used in AI (e.g. Python, R) Capable of maintaining a high degree of effectiveness in a multitask role, managing priorities and delivering to challenging timescales Able to work at a strategic level to assimilate and analyse information quickly to assess and resolve issues and execute solutions. Robust judgement and the ability to seek and challenge information to reach and make decisions Strong influencer with excellent interpersonal, engagement, and presentation skills to executive level Proven clear and concise communication skills Demonstrable negotiating and influencing skills, and the ability to convince through personal credibility Business and financial acumen to provide strategic and tactical insight and thinking depending on the needs of the business Ability to drive transformation, change, and continuous improvement through collaboration and leading by example. Demonstrable commitment to and an understanding of diversity, equality, and inclusion Some reasons we think you'll love it here: AWE has wide range of benefits to suit you. These include: 9-day working fortnight - meaning you get every other Friday off work, in addition to 270 hours of annual leave. Market leading contributory pension scheme (we will pay between 9% and 13% of your pensionable pay depending on your contributions). Family friendly policies: Maternity Leave - 39 Weeks Full Pay and Paternity Leave - 4 Weeks Full Pay. Opportunities for Professional Career Development including funding for annual membership of a relevant professional body. Employee Assistance Programme and Occupational Health Services. Life Assurance (4 x annual salary). Discounts - access to savings on a wide range of everyday spending. Special Leave Policy including paid time off for volunteering, public service (including reserve forces) and caring. The 'Working at AWE' page on our website is where you can find full details in the 'AWE Benefits Guide'.
Jul 25, 2025
Full time
Head of AI Acceleration & Delivery Location: RG7 4PR , located between Reading and Basingstoke, with free onsite parking . Package: Competitive leadership salary depending on experience, performance related bonus, flexible benefit scheme. Working pattern: AWE operates a 9-day working fortnight. We will consider flexible working requests so that your work may fit in with your lifestyle. Just let us know your preferred working pattern on your application. Let us introduce the role We are seeking a visionary and strategic leader to join our team as the Head of AI Adoption. The successful candidate will lead the integration of artificial intelligence technologies across our organisation with an emphasis on driving innovation, efficiency, and productivity. The role will lead AI adoption across corporate functions, support engineering and operations colleagues drive AI adoption in these critical functions, whilst collaborating and supporting Science and NTR colleagues with their existing high-performance computing (HPC), machine learning (ML) and AI initiatives. This role requires deep understanding and significant experience of AI technologies, ideally with application in an engineering or manufacturing environment, and the ability to lead cross-functional teams. Some of the Key Responsibilities: Developing AI Strategy : Crafting a comprehensive AI strategy that aligns with the organization's goals and objectives. Stakeholder Engagement: Communicating the benefits and limitations of AI to both technical and non 1 technical stakeholders to build buy-in and support, lead engagement with key external stakeholders, including MoD, Government, DAIC Implementation Roadmap : Creating a detailed roadmap for AI adoption across a range of use cases, including timelines, necessary infrastructure, tools, and personnel Identifying Use Cases : Collaborating with business leaders to uncover and prioritize AI use cases with high business value and feasibility Monitoring and Evaluation : Overseeing AI experiments and projects to ensure they meet desired outcomes and inform best practices Training and Enablement : Providing resources, training, and self-service tools to enable both professional and citizen developers within the organization Ethical AI Practices : Ensure ethical adoption of AI, including ethical risk assessments, as well as contribute to AWE guidance on AI ethics Strategy Development : Develop and execute a comprehensive AI adoption strategy aligned with the company's engineering, scientific, and manufacturing goals. Identify and prioritize AI opportunities to enhance operational efficiency, product quality, and customer satisfaction Leadership and Collaboration : Lead a multidisciplinary team of AI specialists, data scientists, engineers, and manufacturing experts from across our organisation. Foster a culture of innovation and continuous improvement within the organization. Collaborate with other departments, including Operations, Engineering and Science & High Performance Computing (HPC), to ensure seamless AI integration AI Implementation : Oversee the design, development, and deployment of AI solutions in engineering and manufacturing processes. Ensure AI solutions meet regulatory standards and industry best practices. Monitor and evaluate the performance of AI systems and processes, making data-driven adjustments as necessary Training and Support : Provide training and support to AWE employees on AI technologies and their applications. Ensure AI team members are equipped with the necessary skills and knowledge to leverage AI effectively Research and Development : Monitor emerging AI trends and technologies relevant to engineering and manufacturing. Drive innovative AI solutions to maintain the company's competitive edge AI Ethics & Security : Maintain a robust AI ethics framework built on best practice standards Ensure compliance with the framework including maintenance of ethics risk assessments Engage with colleagues across the organisation (e.g. Security and Legal) to both develop proportionate AI centric policies and design appropriate mitigations for the AI risks Whilst not to be considered a tick list, we'd like you to have experience in some of the following: Educated to postgraduate level or equivalent experience Experience of leading, managing, and motivating teams to deliver Proven experience in leading AI projects within an engineering and manufacturing environment Extensive experience in project management, team leadership, and strategic planning Strong understanding of AI technologies, machine learning algorithms, and data analytics Evidence of effective stakeholder management in a complex multi 1 stakeholder environment Track record of driving delivery, continuous improvement, and sustained performance focusing activities on key business issues and outcomes Evidence of management interpretation and presentation of performance focusing activities on key business issues and outcomes Evidence of leading and managing change Experience in problem solving to resolve, minimise, or mitigate risk and maximise opportunities Excellent leadership skills with a focus on driving high performance and development The ability to translate complex technical concepts into practical solutions Strong problem-solving and analytical skills Proficiency in programming languages commonly used in AI (e.g. Python, R) Capable of maintaining a high degree of effectiveness in a multitask role, managing priorities and delivering to challenging timescales Able to work at a strategic level to assimilate and analyse information quickly to assess and resolve issues and execute solutions. Robust judgement and the ability to seek and challenge information to reach and make decisions Strong influencer with excellent interpersonal, engagement, and presentation skills to executive level Proven clear and concise communication skills Demonstrable negotiating and influencing skills, and the ability to convince through personal credibility Business and financial acumen to provide strategic and tactical insight and thinking depending on the needs of the business Ability to drive transformation, change, and continuous improvement through collaboration and leading by example. Demonstrable commitment to and an understanding of diversity, equality, and inclusion Some reasons we think you'll love it here: AWE has wide range of benefits to suit you. These include: 9-day working fortnight - meaning you get every other Friday off work, in addition to 270 hours of annual leave. Market leading contributory pension scheme (we will pay between 9% and 13% of your pensionable pay depending on your contributions). Family friendly policies: Maternity Leave - 39 Weeks Full Pay and Paternity Leave - 4 Weeks Full Pay. Opportunities for Professional Career Development including funding for annual membership of a relevant professional body. Employee Assistance Programme and Occupational Health Services. Life Assurance (4 x annual salary). Discounts - access to savings on a wide range of everyday spending. Special Leave Policy including paid time off for volunteering, public service (including reserve forces) and caring. The 'Working at AWE' page on our website is where you can find full details in the 'AWE Benefits Guide'.
Applied Scientist, Supply Chain Optimization Job ID: Amazon UK Services Ltd. Amazon Supply Chain forms the backbone of the fastest growing e-commerce business in the world. The sheer growth of the business and the company's mission "to be Earth's most customer-centric company" makes the customer fulfillment business bigger and more complex with each passing year. The SC Optimization and Automation team within SCOT organization - Supply Chain Optimization Technology - is looking for an exceptionally talented Scientist to tackle complex and ambiguous optimization and forecasting problems for our WW fulfillment network. The team owns the optimization of our Supply Chain from our suppliers to our customers. We are also responsible for analyzing the performance of our Supply Chain end-to-end and deploying Operations Research, Machine Learning, Statistics and Econometrics models to improve decision making within our organization, including forecasting, planning and executing our network. We work closely with other Supply Chain Optimization Technology teams, with whom we own the systems and the inputs to plan our networks, the worldwide scientific community, and with our internal WW stakeholders within Supply Chain, Transportation, Store and Finance. We are looking for an experienced candidate having a well-rounded technical/scientific background, and deep expertise in large-scale non-convex non-linear OR optimization (inc. stochastic), as well as forecasting (inc. probabilistic). The candidates should have an history of delivering complex scientific projects end-to-end, and is comfortable in developing long term scientific solutions while ensuring the continuous delivery of incremental model improvements and results in an ever-changing operational environment. As an Applied Scientist, you will design, develop and deploy robust and scalable scientific solutions via Operations Research and Machine Learning algorithms, especially in the context of stochastic customer demand and other sources of uncertainty requiring to move past deterministic and linear optimization. You will partner with other tech and science teams, operations, finance to identify opportunities to improve our processes in order to drive efficiency improvements in our Fulfillment Center network flows. This role requires a self-starter aptitude for independent initiative and the ability to influence partner scientific and operational teams so to drive innovation in supply chain planning and execution. You are passionate, results-oriented, and inventive scientist who obsesses over the quality of your solutions and their fast and scalable implementation to address and anticipate customer needs. Key job responsibilities - Build state-of-the art, robust, and scalable optimization and forecasting algorithms to drive optimal inventory placement and product flows in non-convex, non-linear, and stochastic optimization settings - Design and engineer algorithms using Cloud-based state-of-the art software development techniques - Think multiple steps ahead and develop for long term solutions while continuously delivering incremental improvements to existing ones - Prototype fast, ensure early adoption via pilots, integrate feedback into the models, and iterate - Operationalize (i.e. deliver) your science solutions by closely partnering with internal customers, understand their needs/blockers and influence their roadmap - Lead complex analysis and clearly communicate results and recommendations to leadership - Act as an active member of the science community by researching, applying and publishing internally/externally the latest OR/ML techniques from both academia and industry BASIC QUALIFICATIONS - PhD, or a Master's degree and experience applying theoretical models in an applied environment - Experience in solving business problems through machine learning, data mining and statistical algorithms - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - 3+ years experience in commercial OR tools (e.g. CPLEX, Gurobi, XPRESS) - 3+ years experience in developing OR algorithm for non-convex and non-linear optimization problems - 2+ years experience with Stochastic Optimization algorithms (e.g. Stochastic Linear Programming, Stochastic Dynamic Programming) and ML for Probabilistic Forecasting - Sharp analytical abilities, excellent written and verbal communication skills - Ability to handle ambiguity and fast-paced environment PREFERRED QUALIFICATIONS - Experience in professional software development - Reinforcement Learning - Experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance - Experience diving into data to discover hidden patterns and of conducting error/deviation analysis - Familiarity with Operations concepts - Planning, Forecasting, Optimization, and Customer experience - gained through work experience or graduate level education - Experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2 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. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability or other legally protected status.
Jul 25, 2025
Full time
Applied Scientist, Supply Chain Optimization Job ID: Amazon UK Services Ltd. Amazon Supply Chain forms the backbone of the fastest growing e-commerce business in the world. The sheer growth of the business and the company's mission "to be Earth's most customer-centric company" makes the customer fulfillment business bigger and more complex with each passing year. The SC Optimization and Automation team within SCOT organization - Supply Chain Optimization Technology - is looking for an exceptionally talented Scientist to tackle complex and ambiguous optimization and forecasting problems for our WW fulfillment network. The team owns the optimization of our Supply Chain from our suppliers to our customers. We are also responsible for analyzing the performance of our Supply Chain end-to-end and deploying Operations Research, Machine Learning, Statistics and Econometrics models to improve decision making within our organization, including forecasting, planning and executing our network. We work closely with other Supply Chain Optimization Technology teams, with whom we own the systems and the inputs to plan our networks, the worldwide scientific community, and with our internal WW stakeholders within Supply Chain, Transportation, Store and Finance. We are looking for an experienced candidate having a well-rounded technical/scientific background, and deep expertise in large-scale non-convex non-linear OR optimization (inc. stochastic), as well as forecasting (inc. probabilistic). The candidates should have an history of delivering complex scientific projects end-to-end, and is comfortable in developing long term scientific solutions while ensuring the continuous delivery of incremental model improvements and results in an ever-changing operational environment. As an Applied Scientist, you will design, develop and deploy robust and scalable scientific solutions via Operations Research and Machine Learning algorithms, especially in the context of stochastic customer demand and other sources of uncertainty requiring to move past deterministic and linear optimization. You will partner with other tech and science teams, operations, finance to identify opportunities to improve our processes in order to drive efficiency improvements in our Fulfillment Center network flows. This role requires a self-starter aptitude for independent initiative and the ability to influence partner scientific and operational teams so to drive innovation in supply chain planning and execution. You are passionate, results-oriented, and inventive scientist who obsesses over the quality of your solutions and their fast and scalable implementation to address and anticipate customer needs. Key job responsibilities - Build state-of-the art, robust, and scalable optimization and forecasting algorithms to drive optimal inventory placement and product flows in non-convex, non-linear, and stochastic optimization settings - Design and engineer algorithms using Cloud-based state-of-the art software development techniques - Think multiple steps ahead and develop for long term solutions while continuously delivering incremental improvements to existing ones - Prototype fast, ensure early adoption via pilots, integrate feedback into the models, and iterate - Operationalize (i.e. deliver) your science solutions by closely partnering with internal customers, understand their needs/blockers and influence their roadmap - Lead complex analysis and clearly communicate results and recommendations to leadership - Act as an active member of the science community by researching, applying and publishing internally/externally the latest OR/ML techniques from both academia and industry BASIC QUALIFICATIONS - PhD, or a Master's degree and experience applying theoretical models in an applied environment - Experience in solving business problems through machine learning, data mining and statistical algorithms - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - 3+ years experience in commercial OR tools (e.g. CPLEX, Gurobi, XPRESS) - 3+ years experience in developing OR algorithm for non-convex and non-linear optimization problems - 2+ years experience with Stochastic Optimization algorithms (e.g. Stochastic Linear Programming, Stochastic Dynamic Programming) and ML for Probabilistic Forecasting - Sharp analytical abilities, excellent written and verbal communication skills - Ability to handle ambiguity and fast-paced environment PREFERRED QUALIFICATIONS - Experience in professional software development - Reinforcement Learning - Experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance - Experience diving into data to discover hidden patterns and of conducting error/deviation analysis - Familiarity with Operations concepts - Planning, Forecasting, Optimization, and Customer experience - gained through work experience or graduate level education - Experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2 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. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability or other legally protected status.
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Java Backend Software Engineer III at JPMorgan Chase within the Finance Technology Team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. Job responsibilities Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Contributes to software engineering communities of practice and events that explore new and emerging technologies Adds to team culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and expanding applied experience Hands-on practical experience in system design, application development, testing, and operational stability Proficient in coding in one or more languages such as Java, Spark Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Overall knowledge of the Software Development Life Cycle Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Ability to solve data-oriented problems using multiple relevant technologies e.g. SQL, Relational DB, Spark, NoSQL while optimizing for performance Preferred qualifications, capabilities, and skills Experience with Spark performance tuning of complex calculations on large datasets Experience delivering production changes to complex software using Scala and Spark About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About the Team Our Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You'll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda.
Jul 25, 2025
Full time
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Java Backend Software Engineer III at JPMorgan Chase within the Finance Technology Team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. Job responsibilities Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Contributes to software engineering communities of practice and events that explore new and emerging technologies Adds to team culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and expanding applied experience Hands-on practical experience in system design, application development, testing, and operational stability Proficient in coding in one or more languages such as Java, Spark Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Overall knowledge of the Software Development Life Cycle Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Ability to solve data-oriented problems using multiple relevant technologies e.g. SQL, Relational DB, Spark, NoSQL while optimizing for performance Preferred qualifications, capabilities, and skills Experience with Spark performance tuning of complex calculations on large datasets Experience delivering production changes to complex software using Scala and Spark About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About the Team Our Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You'll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda.
The Data Management analyst will play an instrumental role in supporting ongoing projects related to data integrity, consumer advocacy, related analytics, and accuracy. The analyst will work with stakeholders to identify opportunities for data accuracy, business process re-engineering, and provide insights to improve data management.You will be reporting to a Senior Manager.You are required to work from Hyderabad as its a Hybrid working (2 days WFO) Key Responsibilities Identify, analyze, and interpret trends and patterns in core Consumer, Clarity and Rent bureau, and Ops processing data to help make business decisions. Design new analytical workflows, processes, and/or optimize existing workflows with the goal to streamline processes and enable other analysts to self-service analytics. Convert high level business requirements into clear technical specifications, process flow diagrams, and queries. Effectively summarize, present actional insights and recommendations to the management team. Be a great story teller! Consult with internal clients on data quality issues and partner with them to set up remediation and monitoring programs. Engage with internal teams like data operation, data governance, compliance, audit, product development, consumer assistance center and gather requirements for business process re-engineering and improving data accuracy. About Experian Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments. We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at Experience and Skills Bachelor's degree in Data science, Engineering, Computer Science, Information Management, Statistics, related field, or equivalent experience is required. 2+ years of experience in Data Analytics roles. Expertise in SQL and one of the databases like SQL server, MySQL, or Aurora is required. Experience analyzing large datasets and familiarity with one of analytical tools like Alteryx, Python, SAS, R, or equivalent tool is required. Experience working with BI tools like Tableau, Qlik, and MS Office tools. Experience with Metro2 data quality, public records, credit inquiries and consumer disputes Experience with data modeling, GenAI, machine learning, and tools like Python, Spark, Athena, Hive is desirable. Navigate a rather complex business environment and willingness to learn new business processes, tools and techniques is needed. Additional Information Our uniqueness is that we truly celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what truly matters; DEI, work/life balance, development, authenticity, engagement, collaboration, wellness, reward & recognition, volunteering the list goes on. Experian's strong people first approach is award winning; Great Place To Work in 24 countries, FORTUNE Best Companies to work and Glassdoor Best Places to Work (globally 4.4 Stars) to name a few. Check out Experian Life on social or our Careers Site to understand why. Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is a critical part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, color, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity. Experian Careers - Creating a better tomorrow together Benefits Experian care for employee's work life balance, health, safety and wellbeing. In support of this endeavor, we offer best-in-class family well-being benefits, enhanced medical benefits and paid time off. This is a hybrid /in-office role. Experian Careers - Creating a better tomorrow together Find out what its like to work for Experian by clicking here
Jul 25, 2025
Full time
The Data Management analyst will play an instrumental role in supporting ongoing projects related to data integrity, consumer advocacy, related analytics, and accuracy. The analyst will work with stakeholders to identify opportunities for data accuracy, business process re-engineering, and provide insights to improve data management.You will be reporting to a Senior Manager.You are required to work from Hyderabad as its a Hybrid working (2 days WFO) Key Responsibilities Identify, analyze, and interpret trends and patterns in core Consumer, Clarity and Rent bureau, and Ops processing data to help make business decisions. Design new analytical workflows, processes, and/or optimize existing workflows with the goal to streamline processes and enable other analysts to self-service analytics. Convert high level business requirements into clear technical specifications, process flow diagrams, and queries. Effectively summarize, present actional insights and recommendations to the management team. Be a great story teller! Consult with internal clients on data quality issues and partner with them to set up remediation and monitoring programs. Engage with internal teams like data operation, data governance, compliance, audit, product development, consumer assistance center and gather requirements for business process re-engineering and improving data accuracy. About Experian Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments. We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at Experience and Skills Bachelor's degree in Data science, Engineering, Computer Science, Information Management, Statistics, related field, or equivalent experience is required. 2+ years of experience in Data Analytics roles. Expertise in SQL and one of the databases like SQL server, MySQL, or Aurora is required. Experience analyzing large datasets and familiarity with one of analytical tools like Alteryx, Python, SAS, R, or equivalent tool is required. Experience working with BI tools like Tableau, Qlik, and MS Office tools. Experience with Metro2 data quality, public records, credit inquiries and consumer disputes Experience with data modeling, GenAI, machine learning, and tools like Python, Spark, Athena, Hive is desirable. Navigate a rather complex business environment and willingness to learn new business processes, tools and techniques is needed. Additional Information Our uniqueness is that we truly celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what truly matters; DEI, work/life balance, development, authenticity, engagement, collaboration, wellness, reward & recognition, volunteering the list goes on. Experian's strong people first approach is award winning; Great Place To Work in 24 countries, FORTUNE Best Companies to work and Glassdoor Best Places to Work (globally 4.4 Stars) to name a few. Check out Experian Life on social or our Careers Site to understand why. Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is a critical part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, color, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity. Experian Careers - Creating a better tomorrow together Benefits Experian care for employee's work life balance, health, safety and wellbeing. In support of this endeavor, we offer best-in-class family well-being benefits, enhanced medical benefits and paid time off. This is a hybrid /in-office role. Experian Careers - Creating a better tomorrow together Find out what its like to work for Experian by clicking here
Who are we? Smarsh empowers its customers to manage risk and unleash intelligence in their digital communications. Our growing community of over 6500 organizations in regulated industries counts on Smarsh every day to help them spot compliance, legal or reputational risks in 80+ communication channels before those risks become regulatory fines or headlines. Relentless innovation has fueled our journey to consistent leadership recognition from analysts like Gartner and Forrester, and our sustained, aggressive growth has landed Smarsh in the annual Inc. 5000 list of fastest-growing American companies since 2008. We're seeking a Product Security Engineer to support secure development across our engineering teams. In this hands-on role, you'll help identify and mitigate product risks by participating in security reviews, improving tooling, and supporting vulnerability remediation. You'll work closely with senior security engineers and cross-functional teams to build security into our software development lifecycle. This is a great opportunity for a security-minded engineer who wants to grow their technical breadth while making meaningful impact in a cloud-first, DevOps-centric environment. You must be comfortable working as part of a global team in a dynamic, fast-paced environment. Collaboration across time zones and geographies is a key part of our culture and success. How will you contribute? Secure SDLC Support: Assist in integrating security practices into the software development lifecycle, including design reviews and backlog grooming. Threat Modelling: Participate in structured threat modelling exercises with guidance from senior team members. Vulnerability Triage: Work with engineering teams to review findings from SAST, SCA, DAST, and container scans and track remediation progress. Code & Config Review: Conduct basic secure code and configuration reviews, escalating high-risk findings as needed. Security Tooling & Automation: Help maintain and enhance security scanning integrations in CI/CD pipelines. Pen Testing Coordination: Assist in preparing for and triaging internal and third-party penetration tests. Security Documentation & Guidance: Help develop security best practices, developer guidance, and response runbooks. What will you bring? 4 years in security engineering, DevSecOps, application security, or related software engineering roles. Strong foundational knowledge of secure coding and OWASP Top 10 risks. Experience with at least one modern programming language (e.g., Python, Java, JavaScript, Go, or C#). Familiarity with cloud platforms (AWS, Azure, or GCP) and container technologies (Docker, Kubernetes). Exposure to security tooling such as SAST, SCA, or DAST scanners (e.g., Semgrep, Endor, Burp). Basic understanding of identity and access controls (OAuth, SAML, API tokens). Strong collaboration and communication skills, with a willingness to learn and grow. Preferred Qualifications Experience working in Agile/Scrum teams or DevOps environments. Familiarity with CI/CD tools like GitHub Actions or Jenkins. Exposure to security frameworks (NIST, ISO 27001, SOC 2). Experience working in SaaS, multi-tenant cloud environments. Knowledge of machine learning security (AI/ML model risks, LLM security best practices). Familiarity with attack surface management and threat intelligence. Relevant certifications (e.g., Security+, SSCP, GSEC) are a plus but not required. What do we offer? We value our people and offer a competitive salary along with company bonus Strong maternity and paternity scheme A workplace pension scheme Take what you need holiday package Private medical insurance Dental plan Group life assurance Group income protection Employee assistance programme A monthly wellness allowance Adoption assistance Stock options Don't meet every requirement? Apply anyway! We value diverse candidates and encourage applications, even if you don't perfectly match the job description. Studies have shown that some strong candidates may self-select out of the interview process prematurely, at Smarsh we encourage an inclusive, high-performing environment. Smarsh is an equal opportunity and affirmative action employer. Qualified applicants will receive consideration without regard to their race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Smarsh invites all qualified interested applicants to apply for career opportunities. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Including frequency of functions. About our culture Smarsh hires lifelong learners with a passion for innovating with purpose, humility and humor. Collaboration is at the heart of everything we do. We work closely with the most popular communications platforms and the world's leading cloud infrastructure platforms. We use the latest in AI/ML technology to help our customers break new ground at scale. We are a global organization that values diversity, and we believe that providing opportunities for everyone to be their authentic self is key to our success. Smarsh leadership, culture, and commitment to developing our people have all garnered Best Places to Work Awards. Come join us and find out what the best work of your career looks like.
Jul 25, 2025
Full time
Who are we? Smarsh empowers its customers to manage risk and unleash intelligence in their digital communications. Our growing community of over 6500 organizations in regulated industries counts on Smarsh every day to help them spot compliance, legal or reputational risks in 80+ communication channels before those risks become regulatory fines or headlines. Relentless innovation has fueled our journey to consistent leadership recognition from analysts like Gartner and Forrester, and our sustained, aggressive growth has landed Smarsh in the annual Inc. 5000 list of fastest-growing American companies since 2008. We're seeking a Product Security Engineer to support secure development across our engineering teams. In this hands-on role, you'll help identify and mitigate product risks by participating in security reviews, improving tooling, and supporting vulnerability remediation. You'll work closely with senior security engineers and cross-functional teams to build security into our software development lifecycle. This is a great opportunity for a security-minded engineer who wants to grow their technical breadth while making meaningful impact in a cloud-first, DevOps-centric environment. You must be comfortable working as part of a global team in a dynamic, fast-paced environment. Collaboration across time zones and geographies is a key part of our culture and success. How will you contribute? Secure SDLC Support: Assist in integrating security practices into the software development lifecycle, including design reviews and backlog grooming. Threat Modelling: Participate in structured threat modelling exercises with guidance from senior team members. Vulnerability Triage: Work with engineering teams to review findings from SAST, SCA, DAST, and container scans and track remediation progress. Code & Config Review: Conduct basic secure code and configuration reviews, escalating high-risk findings as needed. Security Tooling & Automation: Help maintain and enhance security scanning integrations in CI/CD pipelines. Pen Testing Coordination: Assist in preparing for and triaging internal and third-party penetration tests. Security Documentation & Guidance: Help develop security best practices, developer guidance, and response runbooks. What will you bring? 4 years in security engineering, DevSecOps, application security, or related software engineering roles. Strong foundational knowledge of secure coding and OWASP Top 10 risks. Experience with at least one modern programming language (e.g., Python, Java, JavaScript, Go, or C#). Familiarity with cloud platforms (AWS, Azure, or GCP) and container technologies (Docker, Kubernetes). Exposure to security tooling such as SAST, SCA, or DAST scanners (e.g., Semgrep, Endor, Burp). Basic understanding of identity and access controls (OAuth, SAML, API tokens). Strong collaboration and communication skills, with a willingness to learn and grow. Preferred Qualifications Experience working in Agile/Scrum teams or DevOps environments. Familiarity with CI/CD tools like GitHub Actions or Jenkins. Exposure to security frameworks (NIST, ISO 27001, SOC 2). Experience working in SaaS, multi-tenant cloud environments. Knowledge of machine learning security (AI/ML model risks, LLM security best practices). Familiarity with attack surface management and threat intelligence. Relevant certifications (e.g., Security+, SSCP, GSEC) are a plus but not required. What do we offer? We value our people and offer a competitive salary along with company bonus Strong maternity and paternity scheme A workplace pension scheme Take what you need holiday package Private medical insurance Dental plan Group life assurance Group income protection Employee assistance programme A monthly wellness allowance Adoption assistance Stock options Don't meet every requirement? Apply anyway! We value diverse candidates and encourage applications, even if you don't perfectly match the job description. Studies have shown that some strong candidates may self-select out of the interview process prematurely, at Smarsh we encourage an inclusive, high-performing environment. Smarsh is an equal opportunity and affirmative action employer. Qualified applicants will receive consideration without regard to their race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Smarsh invites all qualified interested applicants to apply for career opportunities. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Including frequency of functions. About our culture Smarsh hires lifelong learners with a passion for innovating with purpose, humility and humor. Collaboration is at the heart of everything we do. We work closely with the most popular communications platforms and the world's leading cloud infrastructure platforms. We use the latest in AI/ML technology to help our customers break new ground at scale. We are a global organization that values diversity, and we believe that providing opportunities for everyone to be their authentic self is key to our success. Smarsh leadership, culture, and commitment to developing our people have all garnered Best Places to Work Awards. Come join us and find out what the best work of your career looks like.
About the roleAs the UK's most successful omni-channel retailer, ecommerce is a key part of our business - we run two of the busiest websites in the UK, driving a significant proportion of our sales. Our engineering practice includes 80+ teams, working on everything from Cloud platforms to mobile apps, from ecommerce functionality to machine learning. Have a quick glance of our Engineering best practices, see our engineers talk about their experience and opportunities to learn and grow; Check out our Tech stack, reach out to us if you have any questions. Visit - At a glance Flexible Working: This is a hybrid working role, therefore your time will primarily be split between working from home (in the UK) and London Head Office / Bracknell Head Office. However, there will also be an expectation to visit other locations as the need arises. While most engineers visit the office once or twice a month, occasionally business needs may require more frequent attendance. Our offices are open five days a week for those who prefer to work from the office more regularly. Expected Salary: £59,500 - £92,400 (depending upon experience) Contract type: Permanent What will you be doing? This is an opportunity to join one of our agile product teams working as a Staff Back-End Software Engineer. You will be using your excellent Kotlin or Java skills to build and support new features adding value for Our Business As a Staff Engineer, you will also use your knowledge of Software Engineering to lead the shaping of new projects and support the professional development of less experienced Engineers. There are opportunities to become a people manager for your fellow engineers if that is something that appeals to you Successful candidates will have a passion for using technology to deliver outstanding and innovative software solutions, and will have a track record of working in teams delivering complex, performant, high quality software. Internally this role is known as Product Engineer (L6). Essential skills/experience you'll need Extensive experience leading, coaching and mentoring individuals/teams Expertise in either server side Kotlin or a modern version of Java. A structured approach to systems analysis and development. A good understanding of Microservice Architectures. Experience with application frameworks such as http4k or Spring Boot. An understanding of Agile development methods such as Scrum or Kanban. Demonstrable experience in TDD, pair programming. Continuous Integration/Continuous Delivery REST API development and/or consumption. Desirable skills/experience you may have Experience with Cloud Platforms such as AWS, GCP or Azure Docker, Kubernetes Jenkins, Gitlab CI. Additional Information: The application form consists of an online assessment, CV upload, followed by application questions. Please visit - to understand more about application and hiring process If you are successful following your initial application, the next stages are: a screening telephone call with a recruiter, tech assessment and up to two rounds of interviews You'll be asked about any adjustments you might need to support the recruitment process. Please let us know, and we'll be sure to discuss it with you. About The Partnership We're the largest employee owned business in the UK and home of our cherished brands, John Lewis and Waitrose. We're not just employees, we're Partners, driven by our purpose to build a happier world. As we look to our future, there's never been a more exciting time to join us. We're ruthlessly focused on being brilliant at retail. We continue to innovate, adapt and diversify. Never Knowingly Undersold on price, quality and service in John Lewis and passionately serving food-lovers in Waitrose. As Partners we all share the responsibility of ownership and in its rewards. We use our voices to contribute to our success, working together through the good and challenging times, holding true to our behaviours and treating everyone with kindness and respect. We all own making the Partnership somewhere we belong. Embracing our differences and creating an environment where we're free to be ourselves and can THRIVE. Growing ourselves individually, and as a collective. As Partners, we make all the difference. And, we all own it. Important points to note: It's important to note that some of our roles are subject to pre-employment vetting (which may include DBS checks for successful candidates). If required, you'll be informed and provided with information about vetting during the recruitment process and we encourage you to complete any vetting documents quickly to avoid delays. Any DBS checks required will be carried out by a third-party registered body and financial probity checks may also be required for some of our roles. We also recommend that you apply as soon as possible as vacancies can close early if we see a high number of applicants. We want all of our Partners to have a good work-life balance and we support flexible working. This might mean flexible or compressed hours, job sharing or shorter hour contracts, where possible. Please discuss this further with the hiring manager during your interview.
Jul 25, 2025
Full time
About the roleAs the UK's most successful omni-channel retailer, ecommerce is a key part of our business - we run two of the busiest websites in the UK, driving a significant proportion of our sales. Our engineering practice includes 80+ teams, working on everything from Cloud platforms to mobile apps, from ecommerce functionality to machine learning. Have a quick glance of our Engineering best practices, see our engineers talk about their experience and opportunities to learn and grow; Check out our Tech stack, reach out to us if you have any questions. Visit - At a glance Flexible Working: This is a hybrid working role, therefore your time will primarily be split between working from home (in the UK) and London Head Office / Bracknell Head Office. However, there will also be an expectation to visit other locations as the need arises. While most engineers visit the office once or twice a month, occasionally business needs may require more frequent attendance. Our offices are open five days a week for those who prefer to work from the office more regularly. Expected Salary: £59,500 - £92,400 (depending upon experience) Contract type: Permanent What will you be doing? This is an opportunity to join one of our agile product teams working as a Staff Back-End Software Engineer. You will be using your excellent Kotlin or Java skills to build and support new features adding value for Our Business As a Staff Engineer, you will also use your knowledge of Software Engineering to lead the shaping of new projects and support the professional development of less experienced Engineers. There are opportunities to become a people manager for your fellow engineers if that is something that appeals to you Successful candidates will have a passion for using technology to deliver outstanding and innovative software solutions, and will have a track record of working in teams delivering complex, performant, high quality software. Internally this role is known as Product Engineer (L6). Essential skills/experience you'll need Extensive experience leading, coaching and mentoring individuals/teams Expertise in either server side Kotlin or a modern version of Java. A structured approach to systems analysis and development. A good understanding of Microservice Architectures. Experience with application frameworks such as http4k or Spring Boot. An understanding of Agile development methods such as Scrum or Kanban. Demonstrable experience in TDD, pair programming. Continuous Integration/Continuous Delivery REST API development and/or consumption. Desirable skills/experience you may have Experience with Cloud Platforms such as AWS, GCP or Azure Docker, Kubernetes Jenkins, Gitlab CI. Additional Information: The application form consists of an online assessment, CV upload, followed by application questions. Please visit - to understand more about application and hiring process If you are successful following your initial application, the next stages are: a screening telephone call with a recruiter, tech assessment and up to two rounds of interviews You'll be asked about any adjustments you might need to support the recruitment process. Please let us know, and we'll be sure to discuss it with you. About The Partnership We're the largest employee owned business in the UK and home of our cherished brands, John Lewis and Waitrose. We're not just employees, we're Partners, driven by our purpose to build a happier world. As we look to our future, there's never been a more exciting time to join us. We're ruthlessly focused on being brilliant at retail. We continue to innovate, adapt and diversify. Never Knowingly Undersold on price, quality and service in John Lewis and passionately serving food-lovers in Waitrose. As Partners we all share the responsibility of ownership and in its rewards. We use our voices to contribute to our success, working together through the good and challenging times, holding true to our behaviours and treating everyone with kindness and respect. We all own making the Partnership somewhere we belong. Embracing our differences and creating an environment where we're free to be ourselves and can THRIVE. Growing ourselves individually, and as a collective. As Partners, we make all the difference. And, we all own it. Important points to note: It's important to note that some of our roles are subject to pre-employment vetting (which may include DBS checks for successful candidates). If required, you'll be informed and provided with information about vetting during the recruitment process and we encourage you to complete any vetting documents quickly to avoid delays. Any DBS checks required will be carried out by a third-party registered body and financial probity checks may also be required for some of our roles. We also recommend that you apply as soon as possible as vacancies can close early if we see a high number of applicants. We want all of our Partners to have a good work-life balance and we support flexible working. This might mean flexible or compressed hours, job sharing or shorter hour contracts, where possible. Please discuss this further with the hiring manager during your interview.
The creative mind behind every project. Put your skills to the test to build solutions that continue to shape the world we live in. About Us We are Ascent! and we help our customers solve problems, elevate, and do existing things better. We are on a mission to help our customers connect data, software, and purpose to create extraordinary outcomes. You could say we are a digital transformation business. We specialize in software product development, analytics, data science, IoT solutions, machine learning, DevOps optimization, and modernization of applications, data, and platforms. We work with incredible clients in all types of industries such as smart home devices, space exploration, beer manufacturing, finance, ecology, and logistics. We work with some of the sharpest minds in the brightest businesses and we employ the sharpest minds too! At Ascent, we also believe in fostering a vibrant office community where collaboration thrives and connections flourish. With our hybrid approach, we prioritize hiring individuals who reside in close proximity to our offices. Our aim is to cultivate a positive atmosphere and sense of belonging by facilitating easy access to the office. However, we welcome applicants from all other areas in the indicated countries, as we value diversity and recognize the unique perspectives each individual brings to our team. Join us in shaping a workplace where proximity enhances collaboration while inclusivity strengthens our community. About the role In this role, you will apply your expertise across a set of interesting customers, diverse sectors and complex challenges, on both major transformations (typically 6-18 months) and smaller-scope engagements. This is an opportunity to develop your career in an ambitious,modern business that is committed to delivering measurable customer impact with leading-edge tech. About you Key personality traits Attention to detail and a methodical approach to work. Proactive and supportive team player. Ability to act independently. Quick to learn new techniques and eager to embrace new challenges. Positive attitude towards change and a fast-paced environment. Can-do approach towards development initiatives, methodologies, and working practices. Embraces a challenger mindset, thriving on pushing boundaries, driving innovation, and focusing on delivering value. Your daily responsibilities as aSenior Software Engineer will be: Offering technical insights to the team. Contributing to architectural and technological decisions throughout project delivery. Mentoring team members daily, fostering growth and knowledge expansion. Encouraging team empowerment and innovation in problem-solving. Actively participating in code reviews and to maintain code quality. Actively participating in agile ceremonies. Identifying, reviewing, and mitigating technical risks, issues, and impediments. Providing technical feedback and reviews to the team. Addressing technology-related impediments to development. Required Skills and Experience The following skills and experiences are essential: Minimum of 5 years' experience as a Python engineer role. Proven expertise in developing robust APIs using frameworks such as Flask, FastAPI, or Django. Familiarity with Elasticsearch for search and indexing. Strong knowledge of containerisation tools (Docker) and experience implementing CI/CD pipelines. Hands-on experience with Generative AI technologies, including Large Language Models (LLMs), Retrieval-Augmented Generation (Traditional RAG), and Agentic RAG. Proficiency in front-end development using HTML, CSS, JavaScript, and React. Experienced with Git for version control, branching strategies, and collaborative development practices. Excellent verbal and written communication skills in English, able to clearly articulate technical concepts to diverse stakeholders. Demonstrated ability to effectively manage multiple tasks, prioritise work, and solve complex problems under pressure. Proactive, innovative mindset, comfortable challenging the status quo and proposing creative solutions. Desirable Skills and Qualifications Experience or familiarity with Next.js. Strong interest and enthusiasm for emerging technologies, AI advancements, and continuous learning. Bachelor's degree or higher in Computer Science, Software Engineering, or related technical discipline Working at Ascent At Ascent we promote a healthy work-life balance by offering flexibility where you work. We also promote well-being and provide access to Well Being Coaches. Your development and learning will be taken seriously, and we will support your professional development with training and certification, with regular feedback and review. It is a fun, supportive and modern workplace where we really live by our company values of Empathy, Energy and Audacity! Ascent also offers a variety of benefits in each of our countries. Ascent is an equal opportunities employer. We take intentional steps to ensure inclusion and belonging are something real here, not just something we talk about. No person will be treated less favourably because of their gender, pregnancy, and maternity status, marital or civil partnership status, sexual orientation, race, nationality, ethnic origin, age, religion or belief, or disability status. If you require any reasonable accommodation, please let us know when you apply. If you have any questions contact our Talent Acquisition team on . For more details about life at Ascent , check out our Life Page here . Please indicate your country of residence Which of these Time Zones are you on? Could you please indicate your earliest availability to join our team following a prospective offer? (Notice Period). In Days. Do you consent for your data to be kept for a period of 12 months following this application process? This would allow us to reach out to you should we have similar roles in the future. Would you like to share any further details with us at this stage?
Jul 25, 2025
Full time
The creative mind behind every project. Put your skills to the test to build solutions that continue to shape the world we live in. About Us We are Ascent! and we help our customers solve problems, elevate, and do existing things better. We are on a mission to help our customers connect data, software, and purpose to create extraordinary outcomes. You could say we are a digital transformation business. We specialize in software product development, analytics, data science, IoT solutions, machine learning, DevOps optimization, and modernization of applications, data, and platforms. We work with incredible clients in all types of industries such as smart home devices, space exploration, beer manufacturing, finance, ecology, and logistics. We work with some of the sharpest minds in the brightest businesses and we employ the sharpest minds too! At Ascent, we also believe in fostering a vibrant office community where collaboration thrives and connections flourish. With our hybrid approach, we prioritize hiring individuals who reside in close proximity to our offices. Our aim is to cultivate a positive atmosphere and sense of belonging by facilitating easy access to the office. However, we welcome applicants from all other areas in the indicated countries, as we value diversity and recognize the unique perspectives each individual brings to our team. Join us in shaping a workplace where proximity enhances collaboration while inclusivity strengthens our community. About the role In this role, you will apply your expertise across a set of interesting customers, diverse sectors and complex challenges, on both major transformations (typically 6-18 months) and smaller-scope engagements. This is an opportunity to develop your career in an ambitious,modern business that is committed to delivering measurable customer impact with leading-edge tech. About you Key personality traits Attention to detail and a methodical approach to work. Proactive and supportive team player. Ability to act independently. Quick to learn new techniques and eager to embrace new challenges. Positive attitude towards change and a fast-paced environment. Can-do approach towards development initiatives, methodologies, and working practices. Embraces a challenger mindset, thriving on pushing boundaries, driving innovation, and focusing on delivering value. Your daily responsibilities as aSenior Software Engineer will be: Offering technical insights to the team. Contributing to architectural and technological decisions throughout project delivery. Mentoring team members daily, fostering growth and knowledge expansion. Encouraging team empowerment and innovation in problem-solving. Actively participating in code reviews and to maintain code quality. Actively participating in agile ceremonies. Identifying, reviewing, and mitigating technical risks, issues, and impediments. Providing technical feedback and reviews to the team. Addressing technology-related impediments to development. Required Skills and Experience The following skills and experiences are essential: Minimum of 5 years' experience as a Python engineer role. Proven expertise in developing robust APIs using frameworks such as Flask, FastAPI, or Django. Familiarity with Elasticsearch for search and indexing. Strong knowledge of containerisation tools (Docker) and experience implementing CI/CD pipelines. Hands-on experience with Generative AI technologies, including Large Language Models (LLMs), Retrieval-Augmented Generation (Traditional RAG), and Agentic RAG. Proficiency in front-end development using HTML, CSS, JavaScript, and React. Experienced with Git for version control, branching strategies, and collaborative development practices. Excellent verbal and written communication skills in English, able to clearly articulate technical concepts to diverse stakeholders. Demonstrated ability to effectively manage multiple tasks, prioritise work, and solve complex problems under pressure. Proactive, innovative mindset, comfortable challenging the status quo and proposing creative solutions. Desirable Skills and Qualifications Experience or familiarity with Next.js. Strong interest and enthusiasm for emerging technologies, AI advancements, and continuous learning. Bachelor's degree or higher in Computer Science, Software Engineering, or related technical discipline Working at Ascent At Ascent we promote a healthy work-life balance by offering flexibility where you work. We also promote well-being and provide access to Well Being Coaches. Your development and learning will be taken seriously, and we will support your professional development with training and certification, with regular feedback and review. It is a fun, supportive and modern workplace where we really live by our company values of Empathy, Energy and Audacity! Ascent also offers a variety of benefits in each of our countries. Ascent is an equal opportunities employer. We take intentional steps to ensure inclusion and belonging are something real here, not just something we talk about. No person will be treated less favourably because of their gender, pregnancy, and maternity status, marital or civil partnership status, sexual orientation, race, nationality, ethnic origin, age, religion or belief, or disability status. If you require any reasonable accommodation, please let us know when you apply. If you have any questions contact our Talent Acquisition team on . For more details about life at Ascent , check out our Life Page here . Please indicate your country of residence Which of these Time Zones are you on? Could you please indicate your earliest availability to join our team following a prospective offer? (Notice Period). In Days. Do you consent for your data to be kept for a period of 12 months following this application process? This would allow us to reach out to you should we have similar roles in the future. Would you like to share any further details with us at this stage?
Tasks Develop and optimize machine learning models for computer vision and generative AI applications, focusing on accuracy and efficiency. Collaborate with cross-functional teams to integrate AI solutions into existing software products, ensuring seamless performance and user experience. Conduct research and stay updated on the latest advancements in AI and computer vision technologies to incorporate innovative techniques into projects. Analyze large datasets to extract meaningful insights and improve model performance through data preprocessing and augmentation strategies. Provide technical guidance and support to junior engineers, fostering a collaborative environment and promoting knowledge sharing within the team. Requirements • Strong hands-on experience in delivering ML solutions, including production-grade computer vision and forecasting models. • Proven expertise in forecasting and time series data handling (e.g., ARIMA, LSTM, temporal convolutional networks). • Proficiency in image and video processing, including segmentation, pose estimation, object detection, and multimodal data fusion. • Experience with generative AI models such as diffusion-based text-to-image/video, multimodal LLMs, and prompt engineering. • Skilled in reading, interpreting, and applying insights from academic research papers. • Expertise in deep learning frameworks like PyTorch or TensorFlow. • Strong object-oriented programming skills with clean, production-quality Python code. • Familiarity with Vision Transformers (ViTs), especially for action recognition, object tracking, and video understanding tasks. • Cloud deployment experience, particularly with AWS. • Excellent communication skills in English (C1 or higher), both written and spoken. • Strong ability to work independently, prioritize tasks, and manage multiple projects simultaneously. Nice to Have • Master's or Ph.D. degree in Machine Learning, Computer Science, Mathematics, or a related field. • Contributions to open-source ML or CV libraries or participation in Kaggle competitions. Join Tipstat as a Machine Learning Engineer in Computer Vision/Gen AI. Elevate your career with cutting-edge AI products and India's elite engineering talent. Propel innovation and achieve new heights.
Jul 25, 2025
Full time
Tasks Develop and optimize machine learning models for computer vision and generative AI applications, focusing on accuracy and efficiency. Collaborate with cross-functional teams to integrate AI solutions into existing software products, ensuring seamless performance and user experience. Conduct research and stay updated on the latest advancements in AI and computer vision technologies to incorporate innovative techniques into projects. Analyze large datasets to extract meaningful insights and improve model performance through data preprocessing and augmentation strategies. Provide technical guidance and support to junior engineers, fostering a collaborative environment and promoting knowledge sharing within the team. Requirements • Strong hands-on experience in delivering ML solutions, including production-grade computer vision and forecasting models. • Proven expertise in forecasting and time series data handling (e.g., ARIMA, LSTM, temporal convolutional networks). • Proficiency in image and video processing, including segmentation, pose estimation, object detection, and multimodal data fusion. • Experience with generative AI models such as diffusion-based text-to-image/video, multimodal LLMs, and prompt engineering. • Skilled in reading, interpreting, and applying insights from academic research papers. • Expertise in deep learning frameworks like PyTorch or TensorFlow. • Strong object-oriented programming skills with clean, production-quality Python code. • Familiarity with Vision Transformers (ViTs), especially for action recognition, object tracking, and video understanding tasks. • Cloud deployment experience, particularly with AWS. • Excellent communication skills in English (C1 or higher), both written and spoken. • Strong ability to work independently, prioritize tasks, and manage multiple projects simultaneously. Nice to Have • Master's or Ph.D. degree in Machine Learning, Computer Science, Mathematics, or a related field. • Contributions to open-source ML or CV libraries or participation in Kaggle competitions. Join Tipstat as a Machine Learning Engineer in Computer Vision/Gen AI. Elevate your career with cutting-edge AI products and India's elite engineering talent. Propel innovation and achieve new heights.
Have you ever ordered a product from Amazon and been amazed at how fast you receive it? Every day, Amazon engineers are relentlessly working to decrease the time between clicking and delivery for our customers. The Amazon Fulfillment Technologies (AFT) organization owns all of the software and infrastructure that powers Amazon's world-class fulfillment centers, including the fundamental data and services that drive our catalog and inventory systems. AFT builds and operates the software, hardware, and processes that run the global network of fulfillment centers. These systems underlie everything we do - tens of millions of items in the catalog, hundreds of millions of items of inventory, and billions of transactions each year! AFT is at the forefront of combining HCD, technology, process optimizations, workflow models, sensors etc. to solve complex operational and fulfillment problems. With rapid expansion into new geographies, innovations in supply chain, delivery models and customer experience, increasingly complex transportation network, ever expanding selection of products and growing number of shipments worldwide, we have an opportunity to build software that scales the business, leads the industry through innovation and delights millions of customers worldwide. We leverage cutting edge technologies in big data, optimization techniques, machine learning, real time analytics and high volume, low latency, high availability services. If you are looking for an opportunity to solve deep technical problems and build innovative solutions in a fast paced environment working with smart, passionate software developers, this might be the role for you - come and be a part of Amazon's amazing growth story! Our team is looking for top-notch software developers who love listening to our customers, working as a team, and proactively taking the lead whenever necessary. Our mission is to innovate and build scalable and robust software solutions that deliver a great customer experience. These software solutions will directly impact Amazon's customers from product selection and order placement, to delivering products to our customers as quickly and cost effectively as possible. A successful candidate for this position will be able to build new software from the ground up, create pragmatic solutions for complex business problems, enjoy working closely with operations staff to optimize physical processes, and be willing to occasionally travel to Amazon fulfillment centers around the world. If you are a strong software engineer with a wide range of skills and interests then we want to talk to you. Key job responsibilities Our team is looking for programmer analysts who love listening to our customers, working as a team, and proactively taking lead whenever necessary. Our mission is to innovate and build scalable and robust software solutions that deliver a great customer experience. These software solutions will directly impact Amazon's customers from product selection and order placement, to delivering products to our customers as quickly and cost effectively as possible. You are a proficient programmer, with advanced scripting and querying skills as well as basic object oriented analysis and design skills. Strong analytical skills with ability to formulate logic for new systems, devise logic procedures, prepare flowchart, write new code, and test/debug new programs. What you will do? You will be a significant contributor to the team and to the broader organization. You will solve complex and broad business problems with simple and straightforward solutions, applying appropriate technologies and software engineering best practices. You may create a new application or tool from top to bottom with broadly defined parameters. You participate actively and constructively in the planning of the team's work. You help to evolve the team's practices, constantly looking for improvements. You work with relevant personnel across Amazon on project issues, and seek to share knowledge across the Amazon business and technical communities. BASIC QUALIFICATIONS Programming experience in Java and deep understanding of object-oriented design. Bachelor's degree in computer science or a related field Solid expertise in data structures and algorithms Strong problem solving and analytical abilities Strong verbal and written communication skills and an ability to work in a team environment Experience with working and deploying scalable, highly available systems PREFERRED QUALIFICATIONS Programming experience in Java and deep understanding of object-oriented design. Bachelor's degree in computer science or a related field Solid expertise in data structures and algorithms Strong problem solving and analytical abilities Strong verbal and written communication skills and an ability to work in a team environment Experience with working and deploying scalable, highly available systems 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. 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 25, 2025
Full time
Have you ever ordered a product from Amazon and been amazed at how fast you receive it? Every day, Amazon engineers are relentlessly working to decrease the time between clicking and delivery for our customers. The Amazon Fulfillment Technologies (AFT) organization owns all of the software and infrastructure that powers Amazon's world-class fulfillment centers, including the fundamental data and services that drive our catalog and inventory systems. AFT builds and operates the software, hardware, and processes that run the global network of fulfillment centers. These systems underlie everything we do - tens of millions of items in the catalog, hundreds of millions of items of inventory, and billions of transactions each year! AFT is at the forefront of combining HCD, technology, process optimizations, workflow models, sensors etc. to solve complex operational and fulfillment problems. With rapid expansion into new geographies, innovations in supply chain, delivery models and customer experience, increasingly complex transportation network, ever expanding selection of products and growing number of shipments worldwide, we have an opportunity to build software that scales the business, leads the industry through innovation and delights millions of customers worldwide. We leverage cutting edge technologies in big data, optimization techniques, machine learning, real time analytics and high volume, low latency, high availability services. If you are looking for an opportunity to solve deep technical problems and build innovative solutions in a fast paced environment working with smart, passionate software developers, this might be the role for you - come and be a part of Amazon's amazing growth story! Our team is looking for top-notch software developers who love listening to our customers, working as a team, and proactively taking the lead whenever necessary. Our mission is to innovate and build scalable and robust software solutions that deliver a great customer experience. These software solutions will directly impact Amazon's customers from product selection and order placement, to delivering products to our customers as quickly and cost effectively as possible. A successful candidate for this position will be able to build new software from the ground up, create pragmatic solutions for complex business problems, enjoy working closely with operations staff to optimize physical processes, and be willing to occasionally travel to Amazon fulfillment centers around the world. If you are a strong software engineer with a wide range of skills and interests then we want to talk to you. Key job responsibilities Our team is looking for programmer analysts who love listening to our customers, working as a team, and proactively taking lead whenever necessary. Our mission is to innovate and build scalable and robust software solutions that deliver a great customer experience. These software solutions will directly impact Amazon's customers from product selection and order placement, to delivering products to our customers as quickly and cost effectively as possible. You are a proficient programmer, with advanced scripting and querying skills as well as basic object oriented analysis and design skills. Strong analytical skills with ability to formulate logic for new systems, devise logic procedures, prepare flowchart, write new code, and test/debug new programs. What you will do? You will be a significant contributor to the team and to the broader organization. You will solve complex and broad business problems with simple and straightforward solutions, applying appropriate technologies and software engineering best practices. You may create a new application or tool from top to bottom with broadly defined parameters. You participate actively and constructively in the planning of the team's work. You help to evolve the team's practices, constantly looking for improvements. You work with relevant personnel across Amazon on project issues, and seek to share knowledge across the Amazon business and technical communities. BASIC QUALIFICATIONS Programming experience in Java and deep understanding of object-oriented design. Bachelor's degree in computer science or a related field Solid expertise in data structures and algorithms Strong problem solving and analytical abilities Strong verbal and written communication skills and an ability to work in a team environment Experience with working and deploying scalable, highly available systems PREFERRED QUALIFICATIONS Programming experience in Java and deep understanding of object-oriented design. Bachelor's degree in computer science or a related field Solid expertise in data structures and algorithms Strong problem solving and analytical abilities Strong verbal and written communication skills and an ability to work in a team environment Experience with working and deploying scalable, highly available systems 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. 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.
In Amazon Stores, we ship some of the widest arrays of technology found at any company. From to world class machine learning pipelines, from Innovative digital healthcare to no-checkout retail, we push the boundaries of technology in every direction using the globe's largest AWS deployment. As an AppSec engineer, you will collaborate with software development teams to ensure we keep our customers safe while developing these novel services. In a given day, you might be inspecting an application's code for security issues, building a new framework to help our software developers build faster and more securely, or fine-tuning the design for a new service alongside its software developers. The ideal candidate combines technical acumen with an ability to lead by influence and communicate clearly. Technically, this person will be a security generalist with one or more areas of deep expertise. In their communication, they will clearly articulate risks to technical and non-technical audiences alike. Interpersonally, successful candidates will effectively harmonize disparate opinions while effectively prioritizing risks to guide their partners towards secure solutions. Our organization prizes its employees, and we show it through investing in work-life harmony. We have dedicated resources that consistently innovate in reducing on-call time and ensuring the team spend their time on the highest-value tasks. Join the stores AppSec organization to work hard, have fun, and make history! Key job responsibilities Creating, updating, and maintaining threat models for a wide variety of software projects Security architecture and design guidance Manual and Automated Secure Code Review, primarily in Java, Python and Javascript Development of security automation tools Adversarial security analysis using innovative tools to augment manual effort Security training and outreach for internal development teams Independently solve security problems that require novel methods or approaches Influence your team's and partners' process, priorities, and choices to improve outcomes About the team Diverse Experiences Amazon Security 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 Amazon Security At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon's products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores. 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 flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. Inclusive Team Culture In Amazon Security, it's in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices. 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, training, and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - BS in Computer Science, Information Security, 1+ years of demonstrated experience of comprehensive application security assessments, including both automated and manual assessment. - Experience in threat modelling, architecture review, manual source code review, attacker exploit techniques, and methods for their remediation. - Programming or Scripting skills (E.g: Java, Python, Perl, Bash, Ruby, PowerShell, etc.) PREFERRED QUALIFICATIONS - You demonstrate excellent judgement in assessing and prioritizing technical risk - You have a strong application security background with a focus on scalable solutions - You have experience building and securing cloud infrastructure such as AWS - You have understanding of network architecture and enterprise IT systems - You work to identify and remove bottlenecks for your teammates, both in process and technology 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. Based on your recent activity, you may be interested in: Posted: February 11, 2025 (Updated about 2 months ago) Posted: November 7, 2024 (Updated 16 days ago) Posted: October 8, 2024 (Updated 18 days ago) Posted: January 28, 2025 (Updated 4 months ago) Posted: January 8, 2025 (Updated 5 months 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 25, 2025
Full time
In Amazon Stores, we ship some of the widest arrays of technology found at any company. From to world class machine learning pipelines, from Innovative digital healthcare to no-checkout retail, we push the boundaries of technology in every direction using the globe's largest AWS deployment. As an AppSec engineer, you will collaborate with software development teams to ensure we keep our customers safe while developing these novel services. In a given day, you might be inspecting an application's code for security issues, building a new framework to help our software developers build faster and more securely, or fine-tuning the design for a new service alongside its software developers. The ideal candidate combines technical acumen with an ability to lead by influence and communicate clearly. Technically, this person will be a security generalist with one or more areas of deep expertise. In their communication, they will clearly articulate risks to technical and non-technical audiences alike. Interpersonally, successful candidates will effectively harmonize disparate opinions while effectively prioritizing risks to guide their partners towards secure solutions. Our organization prizes its employees, and we show it through investing in work-life harmony. We have dedicated resources that consistently innovate in reducing on-call time and ensuring the team spend their time on the highest-value tasks. Join the stores AppSec organization to work hard, have fun, and make history! Key job responsibilities Creating, updating, and maintaining threat models for a wide variety of software projects Security architecture and design guidance Manual and Automated Secure Code Review, primarily in Java, Python and Javascript Development of security automation tools Adversarial security analysis using innovative tools to augment manual effort Security training and outreach for internal development teams Independently solve security problems that require novel methods or approaches Influence your team's and partners' process, priorities, and choices to improve outcomes About the team Diverse Experiences Amazon Security 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 Amazon Security At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon's products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores. 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 flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. Inclusive Team Culture In Amazon Security, it's in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices. 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, training, and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - BS in Computer Science, Information Security, 1+ years of demonstrated experience of comprehensive application security assessments, including both automated and manual assessment. - Experience in threat modelling, architecture review, manual source code review, attacker exploit techniques, and methods for their remediation. - Programming or Scripting skills (E.g: Java, Python, Perl, Bash, Ruby, PowerShell, etc.) PREFERRED QUALIFICATIONS - You demonstrate excellent judgement in assessing and prioritizing technical risk - You have a strong application security background with a focus on scalable solutions - You have experience building and securing cloud infrastructure such as AWS - You have understanding of network architecture and enterprise IT systems - You work to identify and remove bottlenecks for your teammates, both in process and technology 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. Based on your recent activity, you may be interested in: Posted: February 11, 2025 (Updated about 2 months ago) Posted: November 7, 2024 (Updated 16 days ago) Posted: October 8, 2024 (Updated 18 days ago) Posted: January 28, 2025 (Updated 4 months ago) Posted: January 8, 2025 (Updated 5 months ago) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Senior C++ Software Engineer Up to £140,000 base + 50% bonus Exciting Role in Cutting-Edge Financial Data Technology Innovating High-Performance Data Storage in Finance I'm working with a client who has developed a state-of-the-art serverless database technology that serves as the foundation for their data infrastructure within the financial sector. This technology, initially built for internal use, has since been open-sourced and is recognized for its ability to deliver extremely fast data retrieval and seamless integration with quantitative research workflows. The team operates like a startup embedded within a larger financial organization, emphasizing innovation, ownership, and agility. This is a unique environment where a small, expert engineering team drives the development of a critical technology that supports complex data workflows at scale. What You'll Do and Gain As a Senior C++ Software Engineer, you will: Develop and optimize high-performance C+ code that powers a serverless database running entirely on users' machines, primarily utilizing AWS S3 storage, with support for Google Cloud and on-premise solutions. Focus on performance-critical areas such as algorithm efficiency, multi-threading, parallel processing, and network utilization. Collaborate closely with a small, agile team where engineers write their own requirements and there are no product managers, giving you direct influence over the product. Contribute to an open-source project with rigorous coding standards, enhancing your professional profile and technical skills. Integrate Python wrappers to support Python-based research tools, working alongside quantitative developers to streamline data workflows. This role offers the chance to work in a dynamic, start-up like environment backed by a stable organization, where your work has a direct impact on the technology's evolution and adoption. Who They're Looking For The ideal candidate will have: 5 to 7+ years of professional experience primarily in C++ development, with strong expertise in modern C+. Deep knowledge of performance optimization techniques, multi-threading, parallel processing, and efficient network utilization. Familiarity with Python and scientific libraries such as NumPy and Pandas (expertise not mandatory). Experience or strong interest in high-performance and big data systems, including data lakes or serverless architectures. A passion for writing clean, efficient, maintainable code and thriving in a fast-paced, ownership-driven environment. Bonus points for experience in financial markets or open-source contributions, though these are not required as the team supports learning and growth. If you're excited by the challenge of building next-generation data technology that powers critical financial workflows, this is a fantastic opportunity to join a talented, high-impact team. Get in touch today!
Jul 25, 2025
Full time
Senior C++ Software Engineer Up to £140,000 base + 50% bonus Exciting Role in Cutting-Edge Financial Data Technology Innovating High-Performance Data Storage in Finance I'm working with a client who has developed a state-of-the-art serverless database technology that serves as the foundation for their data infrastructure within the financial sector. This technology, initially built for internal use, has since been open-sourced and is recognized for its ability to deliver extremely fast data retrieval and seamless integration with quantitative research workflows. The team operates like a startup embedded within a larger financial organization, emphasizing innovation, ownership, and agility. This is a unique environment where a small, expert engineering team drives the development of a critical technology that supports complex data workflows at scale. What You'll Do and Gain As a Senior C++ Software Engineer, you will: Develop and optimize high-performance C+ code that powers a serverless database running entirely on users' machines, primarily utilizing AWS S3 storage, with support for Google Cloud and on-premise solutions. Focus on performance-critical areas such as algorithm efficiency, multi-threading, parallel processing, and network utilization. Collaborate closely with a small, agile team where engineers write their own requirements and there are no product managers, giving you direct influence over the product. Contribute to an open-source project with rigorous coding standards, enhancing your professional profile and technical skills. Integrate Python wrappers to support Python-based research tools, working alongside quantitative developers to streamline data workflows. This role offers the chance to work in a dynamic, start-up like environment backed by a stable organization, where your work has a direct impact on the technology's evolution and adoption. Who They're Looking For The ideal candidate will have: 5 to 7+ years of professional experience primarily in C++ development, with strong expertise in modern C+. Deep knowledge of performance optimization techniques, multi-threading, parallel processing, and efficient network utilization. Familiarity with Python and scientific libraries such as NumPy and Pandas (expertise not mandatory). Experience or strong interest in high-performance and big data systems, including data lakes or serverless architectures. A passion for writing clean, efficient, maintainable code and thriving in a fast-paced, ownership-driven environment. Bonus points for experience in financial markets or open-source contributions, though these are not required as the team supports learning and growth. If you're excited by the challenge of building next-generation data technology that powers critical financial workflows, this is a fantastic opportunity to join a talented, high-impact team. Get in touch today!
What We Do At Goldman Sachs, our Engineers don't just make things - we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets . The Controllers division is responsible for financial control and regulatory obligations of the firm. They safeguard the assets of the firm through an independent scrutiny of the financial information and ensure accurate reporting to internal and external consumers. They provide critical metrics and related analysis to the firm's and divisions' leadership to navigate the evolving business strategy, including incumbent and strategic initiatives. Controllers play an important role in the changing landscape of the firm, including its new business ventures and acquisitions, and ensure that these new initiatives are in line with the regulatory expectations as well as controlled in terms of their incorporation into the firm Finance engineers help ensure the firm meets all of its financial control and reporting obligations. Working in small and nimble teams, we build critical and complex software to calculate profit and loss (P&L), measure and monitor the firm's capital, balance sheet and liquidity metrics, and regulatory filings across the globe. OUR Impact: Finance Engineering is responsible for designing and implementing solutions to manage the firm's P&L, measure and monitor the firm's capital, balance sheet and liquidity metrics, and regulatory obligations. Our global agile teams (based across Americas, EMEA and Asia) develop and manage the platforms, calculation engines, and analytical tools that controllers, risk management, and deal-making teams use to project, monitor and report externally to regulators for both regular business activity and under stress scenarios. YOUR Impact: Our team of engineers builds solutions to the most complex problems. We develop cutting-edge software and platforms that form the core of our key business and enable transactions to move in milliseconds. We provide real-time access to critical deal information and process billions of data points each day to inform firm-wide market insights and strategies. Team members have the opportunity to work at the forefront of technology innovation alongside industry leaders and make significant contributions to the field. This position provides a unique opportunity to gain subject matter expertise in both technology and finance, and to directly engage with colleagues and senior management from across the business, Risk, Finance, and Engineering. Why join the team? Tools & Technologies: You'll program in Java and model data using Alloy/Legend - a data management and data governance open source platform that we will teach you. Read more on Bloomberg . Other technologies in use in our space: RESTful services, Maven/Gradle, Apache Spark, BigData, HTML 5, AngularJs/ReactJs, IntelliJ, Gitlab, Jira. Cloud Technologies: You'll be involved in building the next generation of finance systems onto the cloud platforms, one of the key strategies for the division in which you'll get exposure to technologies like AWS S3, Snowflake, EMR etc. Autonomy: You'll have significant autonomy in designing and writing solutions to help our stakeholders deliver for the firm's clients. Creativity: You'll be encouraged to suggest improvements to products and to propose ways in which we can add value for our stakeholders. Interpersonal Communication: You'll engage with data producers and consumers across all areas of the business to understand their requirements and to propose solutions tailored to their needs. Training: Your manager will support your professional development, allowing you time for training at work, helping you learn and grow within the organization, and providing opportunities for increasing responsibility. Gain understanding of evolving regulatory framework and leverage quantitative skills to help the firm manage capital resources. This role offers an excellent opportunity to learn and interact with a range of businesses and products across the firm. RESPONSIBILITIES AND QUALIFICATIONS RESPONSIBILITIES In an Agile environment manage end-to-end systems development cycle from requirements analysis to coding, testing, UAT, implementation and maintenance Develop high level and detailed technical designs, testing strategies, and implementation plans Work in a dynamic, fast-paced environment that provides exposure to all areas of Finance Understand and respond to business needs, facilitating and developing process workflow, data requirements, and specifications required to support implementation Build strong relationships with business partners Identify opportunities for cross-divisional collaboration and reuse of common solutions Provide technical and functional guidance and leadership to junior members on a need basis Build and maintain key financial metric calculation models and associated infrastructure to support forward-looking business strategies and decisions in a evolving regulatory landscape Work closely with a wide range of stakeholders globally, including Controllers, Risk, Operations, and various business units SKLLS AND EXPERIENCE WE ARE LOOKING FOR Bachelor's or Master's degree in Computer Science or related technical discipline 5+ years of hands-on software development experience preferably in Java, C/C++, Python, competent in traditional (RDBMS) and modern datastores (NoSQL) Strong programming and problem solving skills A clear understanding of data structures, algorithms, software design and core programming concepts Strong full-stack technical design and development skills and experience Comfortable with multi-tasking, managing multiple stakeholders and working as part of a team Excellent communication skills including experience speaking to technical and business audiences and working globally Interest in finance ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity
Jul 25, 2025
Full time
What We Do At Goldman Sachs, our Engineers don't just make things - we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets . The Controllers division is responsible for financial control and regulatory obligations of the firm. They safeguard the assets of the firm through an independent scrutiny of the financial information and ensure accurate reporting to internal and external consumers. They provide critical metrics and related analysis to the firm's and divisions' leadership to navigate the evolving business strategy, including incumbent and strategic initiatives. Controllers play an important role in the changing landscape of the firm, including its new business ventures and acquisitions, and ensure that these new initiatives are in line with the regulatory expectations as well as controlled in terms of their incorporation into the firm Finance engineers help ensure the firm meets all of its financial control and reporting obligations. Working in small and nimble teams, we build critical and complex software to calculate profit and loss (P&L), measure and monitor the firm's capital, balance sheet and liquidity metrics, and regulatory filings across the globe. OUR Impact: Finance Engineering is responsible for designing and implementing solutions to manage the firm's P&L, measure and monitor the firm's capital, balance sheet and liquidity metrics, and regulatory obligations. Our global agile teams (based across Americas, EMEA and Asia) develop and manage the platforms, calculation engines, and analytical tools that controllers, risk management, and deal-making teams use to project, monitor and report externally to regulators for both regular business activity and under stress scenarios. YOUR Impact: Our team of engineers builds solutions to the most complex problems. We develop cutting-edge software and platforms that form the core of our key business and enable transactions to move in milliseconds. We provide real-time access to critical deal information and process billions of data points each day to inform firm-wide market insights and strategies. Team members have the opportunity to work at the forefront of technology innovation alongside industry leaders and make significant contributions to the field. This position provides a unique opportunity to gain subject matter expertise in both technology and finance, and to directly engage with colleagues and senior management from across the business, Risk, Finance, and Engineering. Why join the team? Tools & Technologies: You'll program in Java and model data using Alloy/Legend - a data management and data governance open source platform that we will teach you. Read more on Bloomberg . Other technologies in use in our space: RESTful services, Maven/Gradle, Apache Spark, BigData, HTML 5, AngularJs/ReactJs, IntelliJ, Gitlab, Jira. Cloud Technologies: You'll be involved in building the next generation of finance systems onto the cloud platforms, one of the key strategies for the division in which you'll get exposure to technologies like AWS S3, Snowflake, EMR etc. Autonomy: You'll have significant autonomy in designing and writing solutions to help our stakeholders deliver for the firm's clients. Creativity: You'll be encouraged to suggest improvements to products and to propose ways in which we can add value for our stakeholders. Interpersonal Communication: You'll engage with data producers and consumers across all areas of the business to understand their requirements and to propose solutions tailored to their needs. Training: Your manager will support your professional development, allowing you time for training at work, helping you learn and grow within the organization, and providing opportunities for increasing responsibility. Gain understanding of evolving regulatory framework and leverage quantitative skills to help the firm manage capital resources. This role offers an excellent opportunity to learn and interact with a range of businesses and products across the firm. RESPONSIBILITIES AND QUALIFICATIONS RESPONSIBILITIES In an Agile environment manage end-to-end systems development cycle from requirements analysis to coding, testing, UAT, implementation and maintenance Develop high level and detailed technical designs, testing strategies, and implementation plans Work in a dynamic, fast-paced environment that provides exposure to all areas of Finance Understand and respond to business needs, facilitating and developing process workflow, data requirements, and specifications required to support implementation Build strong relationships with business partners Identify opportunities for cross-divisional collaboration and reuse of common solutions Provide technical and functional guidance and leadership to junior members on a need basis Build and maintain key financial metric calculation models and associated infrastructure to support forward-looking business strategies and decisions in a evolving regulatory landscape Work closely with a wide range of stakeholders globally, including Controllers, Risk, Operations, and various business units SKLLS AND EXPERIENCE WE ARE LOOKING FOR Bachelor's or Master's degree in Computer Science or related technical discipline 5+ years of hands-on software development experience preferably in Java, C/C++, Python, competent in traditional (RDBMS) and modern datastores (NoSQL) Strong programming and problem solving skills A clear understanding of data structures, algorithms, software design and core programming concepts Strong full-stack technical design and development skills and experience Comfortable with multi-tasking, managing multiple stakeholders and working as part of a team Excellent communication skills including experience speaking to technical and business audiences and working globally Interest in finance ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity
Job Role: Data & AI Science Consultant Location: London/Manchester/Edinburgh/Newcastle Career Level: Consultant Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge. We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too. "Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and with the communities in which we work and live. It is personal to all of us." - Julie Sweet, Accenture CEO As a team: The Data and AI revolution is changing everything. It's everywhere - transforming how we work and play. Join Accenture and help transform leading organisations and communities around the world. Accenture Data and AI Science is driving these exciting changes and bringing them to life across 40 industries in more than 120 countries. The sheer scale of our capabilities and client engagements and the way we collaborate with the ecosystem, operate and deliver value provides an unparalleled opportunity to grow and advance. Accenture's Data and AI practice covers the range of Data and AI skills, from Strategy, Data Science, Data Architecture, AI Engineering and Visual Insights. When combined with Accenture's broader Strategy and Consulting practice, we are able to bring together the unique ability to drive end to end business change through the application of Data and AI. You'll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways. If you're looking for a challenging career working in a vibrant environment with access to training and a global network of experts, this could be the role for you. As part of our global team, you'll be working with cutting-edge technologies and will have the opportunity to develop a wide range of new skills on the job. In our team you will: Be at the forefront of the industry, you'll create, own and make it a reality for clients looking to better serve their connected customers and operate always-on enterprises. Become an integral part of our Applied Intelligence team with the credibility, expertise and insight clients depend on. Be working with famous brands and household names - no worrying about how to explain what you do to your family again! Develop your skills with our world class training programmes. Drive and implement real world solutions into production that drive business value to our clients. Work alongside global teams to collaborate and deliver the best solutions for our clients. Drive your career progression via our structured career development programs. Align with our industry partners to develop your career and the solutions we deliver for our clients. In this role you will: Solve challenging business problems using advanced machine learning methods such as Deep Learning and quantitative analytics. Understand business requirements and support the development of business cases. Run discovery analytics to identify new and innovative opportunities. Partner with developers and engineers to deploy machine learning algorithms to deliver business value. Define approaches to embed and scale machine learning models. Build reusable assets, solutions and develop best practices for current and future business problems. Consult on complex analyses and advanced machine learning methods. Communicate and provide guidance to senior client leadership and teams. Contribute data science expertise to new sales activities. Shape DS Strategy and the delivery of DS solutions. Operate across multiple industries and functions. Develop others by bringing your unique knowledge and skillsets to the wider practice. We are looking for experience in the following skills: Relevant work experience in data science, machine learning, and business analytics Practical experience in coding languages eg. Python, R, Scala, etc.; (Python preferred) Proficiency in database technologies eg. SQL, ETL, No-SQL, DW, and Big Data technologies e.g. pySpark, Hive, etc. Experienced working with structured and also unstructured data eg. Text, PDFs, jpgs, call recordings, video, etc. Knowledge of machine learning modelling techniques and how to fine-tune those models eg. XGBoost, Deep Neural Networks, Transformers, Markov chains, etc. Experience using specialized machine learning libraries e.g. Fastai, Keras, Tensorflow, pytorch, sci-kit learn, huggingface, etc. Must demonstrate the capacity of reading, understanding and implementing new techniques in the field of machine learning as they emerge. Experience of using Cloud technologies eg. AWS, GCP or Azure. Specialised visualisation techniques eg. D3.js, ggplot etc. Strong verbal/written communication & data presentation skills Awareness of Large Language Models (LLMs) and a strong enthusiasm for continuous learning and staying updated with the latest advancements in the field Set yourself apart: Willingness and ability to learn quickly and apply creative thinking to finding great solutions and drive their implementation Ability to successfully build relationships with clients and stakeholders Mastery of problem solving and solutioning Proven history and background in statistics/mathematics/macroeconomics What's In It For You At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes 30 days' vacation per year, gym subsidy, private medical insurance and 3 extra days leave per year for charitable work of your choice! ACNDataAI ACNConsultX About Accenture We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.At Accenture, we see well-being holistically, supporting our people's physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We're proud to be consistently recognized as one of the World's Best Workplaces.Join Accenture to work at the heart of change. Visit us at Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, colour, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
Jul 25, 2025
Full time
Job Role: Data & AI Science Consultant Location: London/Manchester/Edinburgh/Newcastle Career Level: Consultant Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge. We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too. "Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and with the communities in which we work and live. It is personal to all of us." - Julie Sweet, Accenture CEO As a team: The Data and AI revolution is changing everything. It's everywhere - transforming how we work and play. Join Accenture and help transform leading organisations and communities around the world. Accenture Data and AI Science is driving these exciting changes and bringing them to life across 40 industries in more than 120 countries. The sheer scale of our capabilities and client engagements and the way we collaborate with the ecosystem, operate and deliver value provides an unparalleled opportunity to grow and advance. Accenture's Data and AI practice covers the range of Data and AI skills, from Strategy, Data Science, Data Architecture, AI Engineering and Visual Insights. When combined with Accenture's broader Strategy and Consulting practice, we are able to bring together the unique ability to drive end to end business change through the application of Data and AI. You'll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways. If you're looking for a challenging career working in a vibrant environment with access to training and a global network of experts, this could be the role for you. As part of our global team, you'll be working with cutting-edge technologies and will have the opportunity to develop a wide range of new skills on the job. In our team you will: Be at the forefront of the industry, you'll create, own and make it a reality for clients looking to better serve their connected customers and operate always-on enterprises. Become an integral part of our Applied Intelligence team with the credibility, expertise and insight clients depend on. Be working with famous brands and household names - no worrying about how to explain what you do to your family again! Develop your skills with our world class training programmes. Drive and implement real world solutions into production that drive business value to our clients. Work alongside global teams to collaborate and deliver the best solutions for our clients. Drive your career progression via our structured career development programs. Align with our industry partners to develop your career and the solutions we deliver for our clients. In this role you will: Solve challenging business problems using advanced machine learning methods such as Deep Learning and quantitative analytics. Understand business requirements and support the development of business cases. Run discovery analytics to identify new and innovative opportunities. Partner with developers and engineers to deploy machine learning algorithms to deliver business value. Define approaches to embed and scale machine learning models. Build reusable assets, solutions and develop best practices for current and future business problems. Consult on complex analyses and advanced machine learning methods. Communicate and provide guidance to senior client leadership and teams. Contribute data science expertise to new sales activities. Shape DS Strategy and the delivery of DS solutions. Operate across multiple industries and functions. Develop others by bringing your unique knowledge and skillsets to the wider practice. We are looking for experience in the following skills: Relevant work experience in data science, machine learning, and business analytics Practical experience in coding languages eg. Python, R, Scala, etc.; (Python preferred) Proficiency in database technologies eg. SQL, ETL, No-SQL, DW, and Big Data technologies e.g. pySpark, Hive, etc. Experienced working with structured and also unstructured data eg. Text, PDFs, jpgs, call recordings, video, etc. Knowledge of machine learning modelling techniques and how to fine-tune those models eg. XGBoost, Deep Neural Networks, Transformers, Markov chains, etc. Experience using specialized machine learning libraries e.g. Fastai, Keras, Tensorflow, pytorch, sci-kit learn, huggingface, etc. Must demonstrate the capacity of reading, understanding and implementing new techniques in the field of machine learning as they emerge. Experience of using Cloud technologies eg. AWS, GCP or Azure. Specialised visualisation techniques eg. D3.js, ggplot etc. Strong verbal/written communication & data presentation skills Awareness of Large Language Models (LLMs) and a strong enthusiasm for continuous learning and staying updated with the latest advancements in the field Set yourself apart: Willingness and ability to learn quickly and apply creative thinking to finding great solutions and drive their implementation Ability to successfully build relationships with clients and stakeholders Mastery of problem solving and solutioning Proven history and background in statistics/mathematics/macroeconomics What's In It For You At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes 30 days' vacation per year, gym subsidy, private medical insurance and 3 extra days leave per year for charitable work of your choice! ACNDataAI ACNConsultX About Accenture We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.At Accenture, we see well-being holistically, supporting our people's physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We're proud to be consistently recognized as one of the World's Best Workplaces.Join Accenture to work at the heart of change. Visit us at Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, colour, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
Our Mission Our mission is to restore cell health and resilience through cell rejuvenation to reverse disease, injury, and the disabilities that can occur throughout life. For more information, see our website at Our Value Our Single Altos Value: Everyone Owns Achieving Our Inspiring Mission. Diversity at Altos We believe that diverse perspectives are foundational to scientific innovation and inquiry. At Altos, exceptional scientists and industry leaders from around the world work together to advance a shared mission. Our intentional focus is on Belonging, so that all employees know that they are valued for their unique perspectives. We are all accountable for sustaining a diverse and inclusive environment. What You Will Contribute To Altos The Altos Labs Institute of Computation (IoC) is seeking an independent and highly motivated Computational Biology Scientist to build, maintain, and support our hybrid AI initiative to model cellular processes. The position will work in a multi-disciplinary research environment to assist investigators in algorithm development and implementation, and will work across the software development life cycle, including software design, coding, testing, deployment, and maintenance. The ideal candidate will be a good communicator and have a growth mindset with an enthusiasm for scientific discovery and strong interest in applying a combination of AI methods and mathematical models toward understanding mechanistic aspects of cellular processes with all experimental labs at Altos Labs. The ideal candidate is particularly interested in multi-scale (systems) biochemistry and molecular biology of reprogramming, a dynamic field that seeks to understand complex biological systems by integrating data about biochemical components and help design interventions that direct cellular states along desired trajectories. This includes working with quantitative "big data" and building predictive models to develop novel theories. Our ultimate goal is to contribute to improving human lives through better-informed treatments. Responsibilities: - Contribute to modeling, simulation, and analysis of mechanistic or data-driven models of biological processes through software development in a highly collaborative environment. This will include: - Exploring and developing ML algorithms to solve complex problems and draw conclusions. Apply state of the art AI tools to infer and model cellular dynamics from large data sets Applying strong coding experience to model development using existing languages(s) and framework(s) Using AI as a tool to answer a scientific question, involved in the research and development aspects - Design and implement pipelines to mechanistically model cellular processes from model instantiation to simulation, calibration, and analysis. Collaborate with other scientists to characterize model behaviors, predictions, refinements, and accelerate the biological knowledge discovery. Developing research programs on partial cellular reprogramming, with the intent of closing the feedback loop between experimental and theoretical work, at multiple scales, from molecules to cells, tissues and even whole organisms. Working at the interface between mathematical and computational models, and AI methods, with the aim of establishing design principles of rejuvenated cells. Collaborating with both experimental and computational scientists across Altos. Influence best practices in areas such as Bayesian optimization, causal inference, building and assessing predictive models, analyzing biological networks, and analysis and visualization of -omics data. Maintain documentation and keep up-to-date as needed. Contribute to software releases (e.g. via GitHub, PyPI, Anaconda, Docker Hub). Who You Are The ideal candidate will be a strong collaborator with a background in dynamical systems and mathematical modeling of biological systems. Be able to demonstrate significant AI experience / application in conjunction with a working understanding of cell biology and/or biophysics. The level of the position will depend on the qualifications of the selected candidate. Minimum Qualifications - PhD in Biology, Computational Biology, Computer Science, or closely related field with strong emphasis in biological modeling. Relevant industry and/or academic experience. Expertise and a track record of using methods from artificial intelligence for biological design. Record of applications of dynamical systems to problems of synthetic biology. Record of applications of data driven modeling methods and AI to synthetic biology. Demonstrable experience of developing new statistical and machine learning-based methods for analyzing biological data to produce biological insights about cell health and rejuvenation. Experience working with mechanistic models (PDE/ODE, SDE, dynamical systems). Experience working with state of the art ML tools (transformers, GNN, etc.) Experience working with hybrid AI models (e.g., SINDy) Working knowledge of cell biology. Experience with Python, C, R or related scientific computing languages. Preferred Qualifications - Experience working with causal representation learning Experience with RAG (retrieval-augmented generation) and GraphRAG a big plus Experience with building and deploying software on GitHub, PyPI, Anaconda Cloud, and Docker Hub, as well as use of Pytorch lightning, Git, test-driven design. Knowledge of parallel computing technologies, such as NVIDIA's CUDA platform, OpenCL, and OpenMPI. The salary range for Cambridge, UK: - Senior Scientist I, Computational Biology: £75,000 - £117,500 Senior Scientist II, Computational Biology: £94,000 - £152,500 Exact compensation may vary based on skills, experience, and location.
Jul 25, 2025
Full time
Our Mission Our mission is to restore cell health and resilience through cell rejuvenation to reverse disease, injury, and the disabilities that can occur throughout life. For more information, see our website at Our Value Our Single Altos Value: Everyone Owns Achieving Our Inspiring Mission. Diversity at Altos We believe that diverse perspectives are foundational to scientific innovation and inquiry. At Altos, exceptional scientists and industry leaders from around the world work together to advance a shared mission. Our intentional focus is on Belonging, so that all employees know that they are valued for their unique perspectives. We are all accountable for sustaining a diverse and inclusive environment. What You Will Contribute To Altos The Altos Labs Institute of Computation (IoC) is seeking an independent and highly motivated Computational Biology Scientist to build, maintain, and support our hybrid AI initiative to model cellular processes. The position will work in a multi-disciplinary research environment to assist investigators in algorithm development and implementation, and will work across the software development life cycle, including software design, coding, testing, deployment, and maintenance. The ideal candidate will be a good communicator and have a growth mindset with an enthusiasm for scientific discovery and strong interest in applying a combination of AI methods and mathematical models toward understanding mechanistic aspects of cellular processes with all experimental labs at Altos Labs. The ideal candidate is particularly interested in multi-scale (systems) biochemistry and molecular biology of reprogramming, a dynamic field that seeks to understand complex biological systems by integrating data about biochemical components and help design interventions that direct cellular states along desired trajectories. This includes working with quantitative "big data" and building predictive models to develop novel theories. Our ultimate goal is to contribute to improving human lives through better-informed treatments. Responsibilities: - Contribute to modeling, simulation, and analysis of mechanistic or data-driven models of biological processes through software development in a highly collaborative environment. This will include: - Exploring and developing ML algorithms to solve complex problems and draw conclusions. Apply state of the art AI tools to infer and model cellular dynamics from large data sets Applying strong coding experience to model development using existing languages(s) and framework(s) Using AI as a tool to answer a scientific question, involved in the research and development aspects - Design and implement pipelines to mechanistically model cellular processes from model instantiation to simulation, calibration, and analysis. Collaborate with other scientists to characterize model behaviors, predictions, refinements, and accelerate the biological knowledge discovery. Developing research programs on partial cellular reprogramming, with the intent of closing the feedback loop between experimental and theoretical work, at multiple scales, from molecules to cells, tissues and even whole organisms. Working at the interface between mathematical and computational models, and AI methods, with the aim of establishing design principles of rejuvenated cells. Collaborating with both experimental and computational scientists across Altos. Influence best practices in areas such as Bayesian optimization, causal inference, building and assessing predictive models, analyzing biological networks, and analysis and visualization of -omics data. Maintain documentation and keep up-to-date as needed. Contribute to software releases (e.g. via GitHub, PyPI, Anaconda, Docker Hub). Who You Are The ideal candidate will be a strong collaborator with a background in dynamical systems and mathematical modeling of biological systems. Be able to demonstrate significant AI experience / application in conjunction with a working understanding of cell biology and/or biophysics. The level of the position will depend on the qualifications of the selected candidate. Minimum Qualifications - PhD in Biology, Computational Biology, Computer Science, or closely related field with strong emphasis in biological modeling. Relevant industry and/or academic experience. Expertise and a track record of using methods from artificial intelligence for biological design. Record of applications of dynamical systems to problems of synthetic biology. Record of applications of data driven modeling methods and AI to synthetic biology. Demonstrable experience of developing new statistical and machine learning-based methods for analyzing biological data to produce biological insights about cell health and rejuvenation. Experience working with mechanistic models (PDE/ODE, SDE, dynamical systems). Experience working with state of the art ML tools (transformers, GNN, etc.) Experience working with hybrid AI models (e.g., SINDy) Working knowledge of cell biology. Experience with Python, C, R or related scientific computing languages. Preferred Qualifications - Experience working with causal representation learning Experience with RAG (retrieval-augmented generation) and GraphRAG a big plus Experience with building and deploying software on GitHub, PyPI, Anaconda Cloud, and Docker Hub, as well as use of Pytorch lightning, Git, test-driven design. Knowledge of parallel computing technologies, such as NVIDIA's CUDA platform, OpenCL, and OpenMPI. The salary range for Cambridge, UK: - Senior Scientist I, Computational Biology: £75,000 - £117,500 Senior Scientist II, Computational Biology: £94,000 - £152,500 Exact compensation may vary based on skills, experience, and location.
We are looking for a full stack Software Developer to help us develop our next generation of insights products. Your primary focus will be developing the main insights portal to help expand it into a one-stop shop for self-service insights using cutting edge tech and modern microservices architecture in the cloud. You will support the team in enhancing the backend APIs and data pipelines as well as the UI, enabling clients to clean, match and enrich the data they transact with us and access insights reports. In addition, there will be opportunities to maintain, enhance or even rewrite/re-platform aspects of the wider product portfolio . This role would be reporting to Team Lead or Manager Job Responsibilities You will help us design REST APIs and integrations with external APIs. Manage multiple platform environments including production A strong understanding of software development for production-level systems. AWS cloud experience and ability to design systems with a cloud-first mindset Familiarity with front-end development About Experian Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments. We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at Experience and Skills Technical Skills Experience as a Software developer/engineer or relevant functions. Using Javascript and Typescript with NodeJS, and some Python Familiarity with React. Working knowledge of .NET, C# and SQL • DevOps - IaC using Terraform, Jenkins Agile familiarity is a must. Working with Snowflake SQL is essential Relational and NoSQL database experience You will have experience in a similar role and a qualification in either Computer Science, Information Systems, or relevant. Behavioral Skills You'll need to be a curious problem solver who can get a question and use data to answer in a clear and straight-forward way You must be independent and comfortable supporting the development needs of multiple teams, systems and products We want you to be excited by the prospect of working with large and diverse datasets using cutting-edge techniques such as AI, machine learning and deep learning. You should be passionate about high quality code and excellent user experience. Additional Information What We Offer Hybrid work model 20 days of annual leave Comprehensive medical and hospitalization coverage (including dependents) Our uniqueness is that we truly celebrate yours. Experian's culture and people are key differentiators. We take our people agenda very seriously and focus on what truly matters; DEI, work/life balance, development, authenticity, engagement, collaboration, wellness, reward & recognition, volunteering the list goes on. Experian's strong people first approach is award winning; Great Place To Work in 24 countries, FORTUNE Best Companies to work and Glassdoor Best Places to Work (globally 4.4 Stars) to name a few. Check out Experian Life on social or our Careers Site to understand why. Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is a critical part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity. Experian Careers - Creating a better tomorrow together Find out what its like to work for Experian by clicking here
Jul 25, 2025
Full time
We are looking for a full stack Software Developer to help us develop our next generation of insights products. Your primary focus will be developing the main insights portal to help expand it into a one-stop shop for self-service insights using cutting edge tech and modern microservices architecture in the cloud. You will support the team in enhancing the backend APIs and data pipelines as well as the UI, enabling clients to clean, match and enrich the data they transact with us and access insights reports. In addition, there will be opportunities to maintain, enhance or even rewrite/re-platform aspects of the wider product portfolio . This role would be reporting to Team Lead or Manager Job Responsibilities You will help us design REST APIs and integrations with external APIs. Manage multiple platform environments including production A strong understanding of software development for production-level systems. AWS cloud experience and ability to design systems with a cloud-first mindset Familiarity with front-end development About Experian Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments. We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at Experience and Skills Technical Skills Experience as a Software developer/engineer or relevant functions. Using Javascript and Typescript with NodeJS, and some Python Familiarity with React. Working knowledge of .NET, C# and SQL • DevOps - IaC using Terraform, Jenkins Agile familiarity is a must. Working with Snowflake SQL is essential Relational and NoSQL database experience You will have experience in a similar role and a qualification in either Computer Science, Information Systems, or relevant. Behavioral Skills You'll need to be a curious problem solver who can get a question and use data to answer in a clear and straight-forward way You must be independent and comfortable supporting the development needs of multiple teams, systems and products We want you to be excited by the prospect of working with large and diverse datasets using cutting-edge techniques such as AI, machine learning and deep learning. You should be passionate about high quality code and excellent user experience. Additional Information What We Offer Hybrid work model 20 days of annual leave Comprehensive medical and hospitalization coverage (including dependents) Our uniqueness is that we truly celebrate yours. Experian's culture and people are key differentiators. We take our people agenda very seriously and focus on what truly matters; DEI, work/life balance, development, authenticity, engagement, collaboration, wellness, reward & recognition, volunteering the list goes on. Experian's strong people first approach is award winning; Great Place To Work in 24 countries, FORTUNE Best Companies to work and Glassdoor Best Places to Work (globally 4.4 Stars) to name a few. Check out Experian Life on social or our Careers Site to understand why. Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is a critical part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity. Experian Careers - Creating a better tomorrow together Find out what its like to work for Experian by clicking here
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorgan Chase within the Corporate Sector Credit Risk team, you'll be an essential member of an agile team that works collaboratively to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Your role as a core technical contributor will involve creating critical technology solutions across multiple technical areas within various business functions, all in support of our firm's business objectives. Job responsibilities Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Develops secure high-quality production code, and reviews and debugs code written by others Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies Adds to team culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on system design concepts and applied experience Hands-on practical experience delivering system design, application development, testing, and operational stability Advanced experience in Java and spring framework, multi-threading Proven experience with Kafka and streaming technologies, creating restful web services, databases (oracle, etc.) Proficiency in automation and continuous delivery methods Proficient in all aspects of the Software Development Life Cycle Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) In-depth knowledge of the financial services industry and their IT systems Practical cloud native experience Preferred qualifications, capabilities, and skills Knowledge in Big Data development and software design Understanding of Risk Management and Credit Risk About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About the Team Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
Jul 25, 2025
Full time
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorgan Chase within the Corporate Sector Credit Risk team, you'll be an essential member of an agile team that works collaboratively to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Your role as a core technical contributor will involve creating critical technology solutions across multiple technical areas within various business functions, all in support of our firm's business objectives. Job responsibilities Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Develops secure high-quality production code, and reviews and debugs code written by others Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies Adds to team culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on system design concepts and applied experience Hands-on practical experience delivering system design, application development, testing, and operational stability Advanced experience in Java and spring framework, multi-threading Proven experience with Kafka and streaming technologies, creating restful web services, databases (oracle, etc.) Proficiency in automation and continuous delivery methods Proficient in all aspects of the Software Development Life Cycle Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) In-depth knowledge of the financial services industry and their IT systems Practical cloud native experience Preferred qualifications, capabilities, and skills Knowledge in Big Data development and software design Understanding of Risk Management and Credit Risk About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About the Team Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
About Us Deep Genomics is at the forefront of using artificial intelligence to transform drug discovery. Our proprietary AI platform decodes the complexity of genome biology to identify novel drug targets, mechanisms, and genetic medicines inaccessible through traditional methods. With expertise spanning machine learning, bioinformatics, data science, engineering, and drug development, our multidisciplinary team in Toronto and Cambridge, MA is revolutionizing how new medicines are created. Where You Fit In We are seeking a Machine Learning Scientist to help expand our AI workbench for drug discovery. Pioneered by our company, the application of machine learning and AI to drug discovery is a rapidly advancing field with many unsolved and exciting challenges. Whether you're an early-career researcher or a seasoned expert, you will work with an interdisciplinary team of scientists and engineers to develop state-of-the-art machine learning models to decode nucleic acid and protein-level mechanisms, analyze large biological datasets, and support the design of therapeutic molecules. This is an opportunity to work at the interface of machine learning and computational biology, making impactful contributions to drug discovery and therapeutic development. Key Responsibilities Develop and implement advanced machine learning models for RNA biology, systems biology, and structural biology to solve frontier challenges in drug discovery. Collaborate with cross-functional teams (e.g., ML engineering, target discovery, and experimental biology) to drive research projects that identify novel drug targets and preclinical candidates. Design and execute computational and experimental studies to validate and improve model predictions. Stay informed about the latest advancements in machine learning and computational biology, and apply them to real-world challenges. Share research findings through presentations, publications, and technical discussions. Basic Qualifications PhD in Machine Learning, Computational Biology, Bioinformatics, Computer Science, or a related technical field (MSc with significant experience also considered). Extensive experience in designing, training, debugging, and evaluating machine learning models using frameworks like PyTorch, TensorFlow, or JAX. Strong foundation in mathematics and statistics, including linear algebra, probability, and optimization. Excellent scientific writing and communication skills. Preferred Qualifications Experience in computational biology, genomics, or drug discovery. Familiarity with RNA biology, structural biology, or systems biology. Proven track record of publishing in top-tier conferences or journals. Experience developing machine learning models for production, particularly in drug design. Proficiency with cloud computing platforms (e.g., AWS, GCP) or distributed computing frameworks. What we offer A collaborative and innovative environment at the frontier of computational biology, machine learning, and drug discovery. Highly competitive compensation, including meaningful stock ownership. Comprehensive benefits - including health, vision, and dental coverage for employees and families, employee and family assistance program. Flexible work environment - including flexible hours, extended long weekends, holiday shutdown, unlimited personal days. Maternity and parental leave top-up coverage, as well as new parent paid time off. Focus on learning and growth for all employees - learning and development budget & lunch and learns. Facilities located in the heart of Toronto - the epicenter of machine learning and AI research and development, and in Kendall Square, Cambridge, Mass. - a global center of biotechnology and life sciences. Join Us If you're excited about the intersection of machine learning and biology and want to contribute to life-changing therapeutic advancements, we encourage you to apply! Deep Genomics welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. Deep Genomics thanks all applicants, however only those selected for an interview will be contacted.
Jul 25, 2025
Full time
About Us Deep Genomics is at the forefront of using artificial intelligence to transform drug discovery. Our proprietary AI platform decodes the complexity of genome biology to identify novel drug targets, mechanisms, and genetic medicines inaccessible through traditional methods. With expertise spanning machine learning, bioinformatics, data science, engineering, and drug development, our multidisciplinary team in Toronto and Cambridge, MA is revolutionizing how new medicines are created. Where You Fit In We are seeking a Machine Learning Scientist to help expand our AI workbench for drug discovery. Pioneered by our company, the application of machine learning and AI to drug discovery is a rapidly advancing field with many unsolved and exciting challenges. Whether you're an early-career researcher or a seasoned expert, you will work with an interdisciplinary team of scientists and engineers to develop state-of-the-art machine learning models to decode nucleic acid and protein-level mechanisms, analyze large biological datasets, and support the design of therapeutic molecules. This is an opportunity to work at the interface of machine learning and computational biology, making impactful contributions to drug discovery and therapeutic development. Key Responsibilities Develop and implement advanced machine learning models for RNA biology, systems biology, and structural biology to solve frontier challenges in drug discovery. Collaborate with cross-functional teams (e.g., ML engineering, target discovery, and experimental biology) to drive research projects that identify novel drug targets and preclinical candidates. Design and execute computational and experimental studies to validate and improve model predictions. Stay informed about the latest advancements in machine learning and computational biology, and apply them to real-world challenges. Share research findings through presentations, publications, and technical discussions. Basic Qualifications PhD in Machine Learning, Computational Biology, Bioinformatics, Computer Science, or a related technical field (MSc with significant experience also considered). Extensive experience in designing, training, debugging, and evaluating machine learning models using frameworks like PyTorch, TensorFlow, or JAX. Strong foundation in mathematics and statistics, including linear algebra, probability, and optimization. Excellent scientific writing and communication skills. Preferred Qualifications Experience in computational biology, genomics, or drug discovery. Familiarity with RNA biology, structural biology, or systems biology. Proven track record of publishing in top-tier conferences or journals. Experience developing machine learning models for production, particularly in drug design. Proficiency with cloud computing platforms (e.g., AWS, GCP) or distributed computing frameworks. What we offer A collaborative and innovative environment at the frontier of computational biology, machine learning, and drug discovery. Highly competitive compensation, including meaningful stock ownership. Comprehensive benefits - including health, vision, and dental coverage for employees and families, employee and family assistance program. Flexible work environment - including flexible hours, extended long weekends, holiday shutdown, unlimited personal days. Maternity and parental leave top-up coverage, as well as new parent paid time off. Focus on learning and growth for all employees - learning and development budget & lunch and learns. Facilities located in the heart of Toronto - the epicenter of machine learning and AI research and development, and in Kendall Square, Cambridge, Mass. - a global center of biotechnology and life sciences. Join Us If you're excited about the intersection of machine learning and biology and want to contribute to life-changing therapeutic advancements, we encourage you to apply! Deep Genomics welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. Deep Genomics thanks all applicants, however only those selected for an interview will be contacted.
