Cambridge University Press & Assessment (CUPA)
Cambridge, Cambridgeshire
MACHINE LEARNING RESEARCH ENGINEER Salary: 48,330 - 62,835 Location: Cambridge - Triangle/Hybrid (2 days per week in the office) Contract: Full Time (35 hours per week), Permanent Shape the future of AI-powered learning solutions with Cambridge University Press & Assessment, a world-leading academic publisher and assessment organisation, and a proud part of the University of Cambridge. This is an exciting opportunity for Machine Learning Research Engineers to join our innovative Applied AI team. You'll contribute to developing, deploying, and maintaining cutting-edge AI capabilities that drive the success of Cambridge English's products and services. About the Role As a Machine Learning Research Engineer, you will play a pivotal role in driving innovation and advancing AI-powered solutions that enhance Cambridge English products. Your expertise will contribute to the continuous improvement of existing models and the development of cutting-edge technologies that address future business needs. Key Responsibilities: Develop, deploy, and maintain scalable AI-powered solutions for Cambridge English products. Optimize and modularize models for reusability and performance. Collaborate with product, validation, and business teams to transform capabilities into impactful product features. Stay at the forefront of AI and machine learning trends to position Cambridge as a leader in AI-driven assessment and learning. Plan, prioritize, and manage own tasks aligned with business objectives. We are also looking for 2 Junior Machine Learning Research Engineers (permanent) and 2 Senior Machine Learning Research Engineers (1x permanent, 1x fixed-term). Please visit the linked job postings to apply for these roles. About You To thrive in this role, you'll have a passion for AI-driven innovation and the ability to turn ideas into scalable solutions. Essential Qualifications & Skills: Master's degree (or equivalent qualifications and experience) in machine learning or AI/computer science with substantial machine learning component Proven hands-on industry experience (minimum 2 years, not including internships) in designing, developing, and deploying machine learning solutions in production environments. Advanced programming skills in languages such as Python with a strong focus on code optimization, modular design, and efficiency. Deep expertise in developing, training, and deploying models using frameworks like PyTorch and TensorFlow. Demonstrated experience in building scalable, production-grade AI services and automated data pipelines with tools like Docker, Kubernetes, and cloud platforms (e.g., AWS). Strong understanding of data analysis, model evaluation, and error analysis to drive continuous model improvement. Proven ability to collaborate effectively in Agile/Scrum teams and contribute to cross-functional projects. Exceptional communication skills for articulating complex technical concepts to both technical and non-technical stakeholders. Demonstrated commitment to continuous learning, staying current with state-of-the-art research and applying emerging AI techniques to solve business problems. Desirable: PhD or equivalent qualification and experience in Machine learning or AI/Computer Science Experience in applying Natural Language Processing and/or Speech Technology techniques to solve real-world problems. Experience applying machine learning to educational assessment and learning solutions. Hands-on experience with Large Language Models (LLMs) or foundation models, including fine-tuning and adapting models for specific, production-level applications. Contributions to patents or peer-reviewed research publications in machine learning or related AI fields. Rewards and benefits We will support you to be at your best in work and to live well outside of it. In addition to competitive salaries, we offer a world-class, flexible rewards package, featuring family-friendly and planet-friendly benefits including: 28 days annual leave plus bank holidays Private medical and Permanent Health Insurance Discretionary annual bonus Group personal pension scheme Life assurance up to 4 x annual salary Green travel schemes We are a hybrid working organisation, and we offer a range of flexible working options from day one. We expect most hybrid-working colleagues to spend 40-60% of their time at their dedicated office or location. We will also consider other work arrangements if you wish to work more flexibly or require adjustments due to a disability. Ready to pursue your potential? Apply now. We review applications on an ongoing basis, with a closing date for all applications being 28th September, although we may close it earlier if suitable candidates are identified. Interviews are scheduled to take place as deemed appropriate before or after the closing date. Please note that successful applicants will be subject to satisfactory background checks including DBS due to working in a regulated industry. Cambridge University Press & Assessment is an approved UK employer for the sponsorship of eligible roles and applicants under the Skilled Worker visa route. Please refer to the gov website for guidance to understand your own eligibility based on the role you are applying for.
Aug 07, 2025
Full time
MACHINE LEARNING RESEARCH ENGINEER Salary: 48,330 - 62,835 Location: Cambridge - Triangle/Hybrid (2 days per week in the office) Contract: Full Time (35 hours per week), Permanent Shape the future of AI-powered learning solutions with Cambridge University Press & Assessment, a world-leading academic publisher and assessment organisation, and a proud part of the University of Cambridge. This is an exciting opportunity for Machine Learning Research Engineers to join our innovative Applied AI team. You'll contribute to developing, deploying, and maintaining cutting-edge AI capabilities that drive the success of Cambridge English's products and services. About the Role As a Machine Learning Research Engineer, you will play a pivotal role in driving innovation and advancing AI-powered solutions that enhance Cambridge English products. Your expertise will contribute to the continuous improvement of existing models and the development of cutting-edge technologies that address future business needs. Key Responsibilities: Develop, deploy, and maintain scalable AI-powered solutions for Cambridge English products. Optimize and modularize models for reusability and performance. Collaborate with product, validation, and business teams to transform capabilities into impactful product features. Stay at the forefront of AI and machine learning trends to position Cambridge as a leader in AI-driven assessment and learning. Plan, prioritize, and manage own tasks aligned with business objectives. We are also looking for 2 Junior Machine Learning Research Engineers (permanent) and 2 Senior Machine Learning Research Engineers (1x permanent, 1x fixed-term). Please visit the linked job postings to apply for these roles. About You To thrive in this role, you'll have a passion for AI-driven innovation and the ability to turn ideas into scalable solutions. Essential Qualifications & Skills: Master's degree (or equivalent qualifications and experience) in machine learning or AI/computer science with substantial machine learning component Proven hands-on industry experience (minimum 2 years, not including internships) in designing, developing, and deploying machine learning solutions in production environments. Advanced programming skills in languages such as Python with a strong focus on code optimization, modular design, and efficiency. Deep expertise in developing, training, and deploying models using frameworks like PyTorch and TensorFlow. Demonstrated experience in building scalable, production-grade AI services and automated data pipelines with tools like Docker, Kubernetes, and cloud platforms (e.g., AWS). Strong understanding of data analysis, model evaluation, and error analysis to drive continuous model improvement. Proven ability to collaborate effectively in Agile/Scrum teams and contribute to cross-functional projects. Exceptional communication skills for articulating complex technical concepts to both technical and non-technical stakeholders. Demonstrated commitment to continuous learning, staying current with state-of-the-art research and applying emerging AI techniques to solve business problems. Desirable: PhD or equivalent qualification and experience in Machine learning or AI/Computer Science Experience in applying Natural Language Processing and/or Speech Technology techniques to solve real-world problems. Experience applying machine learning to educational assessment and learning solutions. Hands-on experience with Large Language Models (LLMs) or foundation models, including fine-tuning and adapting models for specific, production-level applications. Contributions to patents or peer-reviewed research publications in machine learning or related AI fields. Rewards and benefits We will support you to be at your best in work and to live well outside of it. In addition to competitive salaries, we offer a world-class, flexible rewards package, featuring family-friendly and planet-friendly benefits including: 28 days annual leave plus bank holidays Private medical and Permanent Health Insurance Discretionary annual bonus Group personal pension scheme Life assurance up to 4 x annual salary Green travel schemes We are a hybrid working organisation, and we offer a range of flexible working options from day one. We expect most hybrid-working colleagues to spend 40-60% of their time at their dedicated office or location. We will also consider other work arrangements if you wish to work more flexibly or require adjustments due to a disability. Ready to pursue your potential? Apply now. We review applications on an ongoing basis, with a closing date for all applications being 28th September, although we may close it earlier if suitable candidates are identified. Interviews are scheduled to take place as deemed appropriate before or after the closing date. Please note that successful applicants will be subject to satisfactory background checks including DBS due to working in a regulated industry. Cambridge University Press & Assessment is an approved UK employer for the sponsorship of eligible roles and applicants under the Skilled Worker visa route. Please refer to the gov website for guidance to understand your own eligibility based on the role you are applying for.
Cambridge University Press & Assessment (CUPA)
Cambridge, Cambridgeshire
Junior Machine Learning Research Engineer Salary: 40,000- 52,000 Location: Cambridge - Triangle/Hybrid (2 days per week in the office) Contract: Full Time/Permanent (35 hours per week) Shape the future of AI-powered learning solutions with Cambridge University Press & Assessment. This is an exciting opportunity for two Junior Machine Learning Research Engineers to join our innovative Applied AI team. You'll contribute to developing, deploying, and maintaining cutting-edge AI capabilities that drive the success of Cambridge English's products and services. We are Cambridge University Press & Assessment, a world-leading academic publisher and assessment organization and a proud part of the University of Cambridge. About the Role As a Junior Machine Learning Research Engineer, you will play a pivotal role in driving innovation and advancing AI-powered solutions that enhance Cambridge English products. Your expertise will contribute to the continuous improvement of existing models and the development of cutting-edge technologies that address future business needs. Key Responsibilities: Help develop, deploy, and maintain scalable AI-powered solutions for Cambridge English products. Optimize and modularize models for reusability and performance. Collaborate with product, validation, and business teams to transform capabilities into impactful product features. Stay at the forefront of AI and machine learning trends to position Cambridge as a leader in AI-driven assessment and learning. Plan, prioritize, and manage own tasks aligned with business objectives. We are also looking for 2 Senior Machine Learning Research Engineers (1x permanent, 1x fixed term) and 1 Machine Learning Research Engineer (permanent) . Please visit the linked job postings to apply for these roles. About You To thrive in this role, you'll have a passion for AI-driven innovation and the ability to turn ideas into scalable solutions. Essential Qualifications & Skills: First class Bachelor's or Master's degree (or equivalent qualifications and experience) in machine learning or AI/computer science with a substantial machine learning component. Excellent programming skills in languages such as Python and shell scripting with a strong focus on code optimization, modular design, and efficiency. Demonstrable experience in developing, training, and deploying models using frameworks like PyTorch and TensorFlow. Strong understanding of data analysis, model evaluation, and error analysis to drive continuous model improvement. Excellent communication skills. Demonstratable commitment to continuous learning, staying current with state-of-the-art research and applying emerging AI techniques Desirable: Proven ability to collaborate effectively in Agile/Scrum teams and contribute to cross-functional projects.Industry experience in applying ML to real-world problems. Experience applying machine learning to educational assessment and learning solutions. Hands-on experience with Large Language Models (LLMs) or foundation models, including fine-tuning and adapting models for specific, production-level applications. PhD (or equivalent qualifications and experience) in machine learning or AI/computer science Exposure to research-oriented work or contributions to open-source projects in the AI domain. Internship experience in AI/ML Experience in contributing to patents, or academic papers related to ML. Rewards and Benefits We will support you to be at your best in work and to live well outside of it. In addition to competitive salaries, we offer a world-class, flexible rewards package, featuring family-friendly and planet-friendly benefits including: 28 days annual leave plus bank holidays Private medical and Permanent Health Insurance Discretionary annual bonus Group personal pension scheme Life assurance up to 4 x annual salary Green travel schemes We also offer flexible and hybrid working options from day one. We will consider any work arrangements if you wish to work flexibly or require adjustments due to a disability. Ready to pursue potential? Apply now. We review applications on an ongoing basis, with a closing date for all applications being 28th September, although we may close it earlier if suitable candidates are identified. Interviews are scheduled to take place as deemed suitable before or after the closing date. Please note that successful applicants will be subject to satisfactory background checks, including a DBS check, due to working in a regulated industry. Cambridge University Press & Assessment is an approved UK employer for the sponsorship of eligible roles and applicants under the Skilled Worker visa route. Please refer to the gov website for guidance to understand your own eligibility based on the role you are applying for.
Aug 07, 2025
Full time
Junior Machine Learning Research Engineer Salary: 40,000- 52,000 Location: Cambridge - Triangle/Hybrid (2 days per week in the office) Contract: Full Time/Permanent (35 hours per week) Shape the future of AI-powered learning solutions with Cambridge University Press & Assessment. This is an exciting opportunity for two Junior Machine Learning Research Engineers to join our innovative Applied AI team. You'll contribute to developing, deploying, and maintaining cutting-edge AI capabilities that drive the success of Cambridge English's products and services. We are Cambridge University Press & Assessment, a world-leading academic publisher and assessment organization and a proud part of the University of Cambridge. About the Role As a Junior Machine Learning Research Engineer, you will play a pivotal role in driving innovation and advancing AI-powered solutions that enhance Cambridge English products. Your expertise will contribute to the continuous improvement of existing models and the development of cutting-edge technologies that address future business needs. Key Responsibilities: Help develop, deploy, and maintain scalable AI-powered solutions for Cambridge English products. Optimize and modularize models for reusability and performance. Collaborate with product, validation, and business teams to transform capabilities into impactful product features. Stay at the forefront of AI and machine learning trends to position Cambridge as a leader in AI-driven assessment and learning. Plan, prioritize, and manage own tasks aligned with business objectives. We are also looking for 2 Senior Machine Learning Research Engineers (1x permanent, 1x fixed term) and 1 Machine Learning Research Engineer (permanent) . Please visit the linked job postings to apply for these roles. About You To thrive in this role, you'll have a passion for AI-driven innovation and the ability to turn ideas into scalable solutions. Essential Qualifications & Skills: First class Bachelor's or Master's degree (or equivalent qualifications and experience) in machine learning or AI/computer science with a substantial machine learning component. Excellent programming skills in languages such as Python and shell scripting with a strong focus on code optimization, modular design, and efficiency. Demonstrable experience in developing, training, and deploying models using frameworks like PyTorch and TensorFlow. Strong understanding of data analysis, model evaluation, and error analysis to drive continuous model improvement. Excellent communication skills. Demonstratable commitment to continuous learning, staying current with state-of-the-art research and applying emerging AI techniques Desirable: Proven ability to collaborate effectively in Agile/Scrum teams and contribute to cross-functional projects.Industry experience in applying ML to real-world problems. Experience applying machine learning to educational assessment and learning solutions. Hands-on experience with Large Language Models (LLMs) or foundation models, including fine-tuning and adapting models for specific, production-level applications. PhD (or equivalent qualifications and experience) in machine learning or AI/computer science Exposure to research-oriented work or contributions to open-source projects in the AI domain. Internship experience in AI/ML Experience in contributing to patents, or academic papers related to ML. Rewards and Benefits We will support you to be at your best in work and to live well outside of it. In addition to competitive salaries, we offer a world-class, flexible rewards package, featuring family-friendly and planet-friendly benefits including: 28 days annual leave plus bank holidays Private medical and Permanent Health Insurance Discretionary annual bonus Group personal pension scheme Life assurance up to 4 x annual salary Green travel schemes We also offer flexible and hybrid working options from day one. We will consider any work arrangements if you wish to work flexibly or require adjustments due to a disability. Ready to pursue potential? Apply now. We review applications on an ongoing basis, with a closing date for all applications being 28th September, although we may close it earlier if suitable candidates are identified. Interviews are scheduled to take place as deemed suitable before or after the closing date. Please note that successful applicants will be subject to satisfactory background checks, including a DBS check, due to working in a regulated industry. Cambridge University Press & Assessment is an approved UK employer for the sponsorship of eligible roles and applicants under the Skilled Worker visa route. Please refer to the gov website for guidance to understand your own eligibility based on the role you are applying for.
Join Barclays as a Digital Customer Data Engineer, where you'll be leading the development for a new shared data platform that is transforming how individuals/organisations interact with the bank. Your role involves using the latest data and AI engineering skills to deliver a digital capability. As part of our team, you'll also benefit from being part of a vast professional network, collaborating with industry mentors and experts. To be successful you should have experience with: Modern data engineering practices, inc. event-driven and data lake. Digital platform development, inc. experience developing colleague and customer facing applications. Banking software development. Deep technical awareness of cloud and data technology, such as Kafka, Data Bricks, microservices, API. Some other highly valued skills may include: Technical design: Analysis and documentation of system characteristics, inc. designing solutions to meet multi-faceted non-functional requirements. Communication Skills: Ability to clearly convey project goals to senior leadership, updates, and technical details to stakeholders at all levels, including non-technical audiences at all levels of the organisation. Formal external qualification/accreditation in Programme/Project Management discipline. You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills This role will be based in our Glasgow office Purpose of the role To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure. Accountabilities Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data. Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures. Development of processing and analysis algorithms fit for the intended data complexity and volumes. Collaboration with data scientist to build and deploy machine learning models. Vice President Expectations To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures If managing a team, they define jobs and responsibilities, planning for the department's future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment. Manage and mitigate risks through assessment, in support of the control and governance agenda. Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does. Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies. Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions. Adopt and include the outcomes of extensive research in problem solving processes. Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship - our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset - to Empower, Challenge and Drive - the operating manual for how we behave.
Aug 07, 2025
Full time
Join Barclays as a Digital Customer Data Engineer, where you'll be leading the development for a new shared data platform that is transforming how individuals/organisations interact with the bank. Your role involves using the latest data and AI engineering skills to deliver a digital capability. As part of our team, you'll also benefit from being part of a vast professional network, collaborating with industry mentors and experts. To be successful you should have experience with: Modern data engineering practices, inc. event-driven and data lake. Digital platform development, inc. experience developing colleague and customer facing applications. Banking software development. Deep technical awareness of cloud and data technology, such as Kafka, Data Bricks, microservices, API. Some other highly valued skills may include: Technical design: Analysis and documentation of system characteristics, inc. designing solutions to meet multi-faceted non-functional requirements. Communication Skills: Ability to clearly convey project goals to senior leadership, updates, and technical details to stakeholders at all levels, including non-technical audiences at all levels of the organisation. Formal external qualification/accreditation in Programme/Project Management discipline. You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills This role will be based in our Glasgow office Purpose of the role To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure. Accountabilities Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data. Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures. Development of processing and analysis algorithms fit for the intended data complexity and volumes. Collaboration with data scientist to build and deploy machine learning models. Vice President Expectations To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures If managing a team, they define jobs and responsibilities, planning for the department's future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment. Manage and mitigate risks through assessment, in support of the control and governance agenda. Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does. Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies. Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions. Adopt and include the outcomes of extensive research in problem solving processes. Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship - our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset - to Empower, Challenge and Drive - the operating manual for how we behave.
About Sequence Backed by a16z and Salesforce Ventures, Sequence is reinventing the accounts receivable category, building a flexible toolkit to help B2B finance teams to scale their revenue collection infrastructure. The team behind Sequence has decades of experience building and operating category-defining marketplace, machine learning, fintech, and enterprise software companies. We are no ordinary start-up; the maturity of our leadership and technology means we are operating at a lightning fast pace. This is a fantastic opportunity to be a part of the next wave of innovation for the CFO office, doing your best work with talented, ambitious and creative teammates. Sequence is the ultimate billing and revenue stack for B2B companies. We help our customers design and iterate on their pricing and revenue flows, so they can stay completely focused on their mission without worrying about billing. At the end of your career, we want you to look back at your time with Sequence and say it was the best job you ever had. The role We're looking for a Senior Product Manager to join the team and own AI-powered finance automation within Sequence's platform. This role carries significant leadership potential as our product organization scales. You'll drive the evolution of our AI-first revenue automation suite, focusing on intelligent contract processing, automated billing workflows, and predictive revenue insights. As a Senior PM, you will work within our close-knit design and product engineering teams to discover, shape, and ship AI-native products that fundamentally transform how finance teams operate. You'll also help shape our broader product strategy and have opportunities to mentor and lead other product team members as we grow. In this role, you will develop deep expertise in both AI applications for finance and the broader CFO stack, while building the strategic thinking skills needed to guide product direction across our entire platform. What you'll do Shape Sequence's AI-first product narrative and deeply understand how AI can transform finance workflows Lead cross-functional product strategy discussions and influence company-wide product decisions Tell Sequence's product story and understand user needs You'll put on many hats, especially that of researcher, analyst, editor and marketer Your main job is to enable the team to build highly differentiated products and features Perform up-front discovery through user interviews, competitive research, analysis, etc. and present findings to the team with conviction and rigour Help engineers and designers deeply understand user needs, empowering them to make great product decisions. Craft messaging around upcoming features that resonates with users Enable sales and marketing teams to effectively communicate with and win customers Collaborate directly with leadership team on product vision and go-to-market strategy Drive product strategy for our expanding suite of AI agents and copilots across the revenue lifecycle This may be a good fit if: You have several years of experience shipping high-quality B2B software products You're excited to become a domain expert in revenue recognition, ERP and Accounting systems, billing and invoicing and beyond. Writing and sharing docs is how you think through problems and influence teams around you. Building prototypes is how you explore ideas and opportunities. You're excited to grow into product leadership responsibilities and help scale a product organization. You have experience or strong interest in AI/ML applications for business workflows. This might not be a good fit if: You are not comfortable in a demanding work environment and working without clear structure. Even with our growth, we are still an early-stage startup. If you need something more predictable, this is not the right fit. You're not excited about working with Finance teams and becoming an expert in B2B billing. You won't be able to succeed in this role unless you love our customers and want to truly help them in whatever way possible. You are not familiar with tools like Cursor, Claude Artefacts, GPT, etc.
Aug 07, 2025
Full time
About Sequence Backed by a16z and Salesforce Ventures, Sequence is reinventing the accounts receivable category, building a flexible toolkit to help B2B finance teams to scale their revenue collection infrastructure. The team behind Sequence has decades of experience building and operating category-defining marketplace, machine learning, fintech, and enterprise software companies. We are no ordinary start-up; the maturity of our leadership and technology means we are operating at a lightning fast pace. This is a fantastic opportunity to be a part of the next wave of innovation for the CFO office, doing your best work with talented, ambitious and creative teammates. Sequence is the ultimate billing and revenue stack for B2B companies. We help our customers design and iterate on their pricing and revenue flows, so they can stay completely focused on their mission without worrying about billing. At the end of your career, we want you to look back at your time with Sequence and say it was the best job you ever had. The role We're looking for a Senior Product Manager to join the team and own AI-powered finance automation within Sequence's platform. This role carries significant leadership potential as our product organization scales. You'll drive the evolution of our AI-first revenue automation suite, focusing on intelligent contract processing, automated billing workflows, and predictive revenue insights. As a Senior PM, you will work within our close-knit design and product engineering teams to discover, shape, and ship AI-native products that fundamentally transform how finance teams operate. You'll also help shape our broader product strategy and have opportunities to mentor and lead other product team members as we grow. In this role, you will develop deep expertise in both AI applications for finance and the broader CFO stack, while building the strategic thinking skills needed to guide product direction across our entire platform. What you'll do Shape Sequence's AI-first product narrative and deeply understand how AI can transform finance workflows Lead cross-functional product strategy discussions and influence company-wide product decisions Tell Sequence's product story and understand user needs You'll put on many hats, especially that of researcher, analyst, editor and marketer Your main job is to enable the team to build highly differentiated products and features Perform up-front discovery through user interviews, competitive research, analysis, etc. and present findings to the team with conviction and rigour Help engineers and designers deeply understand user needs, empowering them to make great product decisions. Craft messaging around upcoming features that resonates with users Enable sales and marketing teams to effectively communicate with and win customers Collaborate directly with leadership team on product vision and go-to-market strategy Drive product strategy for our expanding suite of AI agents and copilots across the revenue lifecycle This may be a good fit if: You have several years of experience shipping high-quality B2B software products You're excited to become a domain expert in revenue recognition, ERP and Accounting systems, billing and invoicing and beyond. Writing and sharing docs is how you think through problems and influence teams around you. Building prototypes is how you explore ideas and opportunities. You're excited to grow into product leadership responsibilities and help scale a product organization. You have experience or strong interest in AI/ML applications for business workflows. This might not be a good fit if: You are not comfortable in a demanding work environment and working without clear structure. Even with our growth, we are still an early-stage startup. If you need something more predictable, this is not the right fit. You're not excited about working with Finance teams and becoming an expert in B2B billing. You won't be able to succeed in this role unless you love our customers and want to truly help them in whatever way possible. You are not familiar with tools like Cursor, Claude Artefacts, GPT, etc.
400M+ downloads. 75M+ monthly users. A decade of building - and we're still accelerating. Flo is the world's health app on a mission to build a better future for female health. Backed by a $200M investment led by General Atlantic, we became the first product of our kind to reach a $1B valuation in 2024 - and we're not slowing down. With 6M paid subscribers and the highest-rated experience in the App Store's health category, we've spent 10 years earning trust at scale. Now, we're building the next generation of digital health - AI-powered, privacy-first, clinically backed - to help our users know their body better. The job We're a world-class team of product builders, engineers, data scientists, growth hackers, user researchers, designers, and medical experts - all building an app that generates long-term value to our millions of users worldwide. Our engineers aren't just building a better product; they're making the world a better place by improving access to important health information. We leverage machine learning and AI to provide accurate cycle predictions and relevant, personalized, and medically credible health tips. In this role, you will own the end-to-end AI/ML pipeline, including CI/CD processes for ML and AI engineering workflows. Your responsibilities will encompass managing code, versioning datasets, foundation and fine-tuned models, AI agents, and production endpoints. This will enable ML Engineers to collaborate effectively, experiment efficiently, and scale rapidly across both traditional ML workloads and modern AI applications. The AI Platform team acts as the central enabler of machine learning and AI initiatives across the organization. Its mission is to reduce operational overhead and maximize ROI from ML use cases. As the backbone of ML operations, the team builds and maintains critical infrastructure, including feature stores, model deployment pipelines, experiment tracking systems, and monitoring frameworks. By working closely with domain teams, the AI Platform team delivers scalable, high-quality solutions that accelerate time-to-market while ensuring compliance and maintaining the highest standards of performance. Your Experience Must have: 4+ years of industry experience in applied ML with recent experience in AI/LLM systems Strong proficiency with Python, and familiarity with Scala, Go, or Rust Cloud platform expertise with AWS, GCP, or Azure, including AI-specific services (SageMaker, Vertex AI, Azure AI) Databricks platform experience with Unity Catalog, MLflow, and Databricks Machine Learning for end-to-end AI/ML workflows Modern ML infrastructure experience with tools like MLflow or similar platforms Containerization & orchestration experience with Docker, Kubernetes, and ML-specific operators AI model serving experience with modern inference servers and API gateways for AI applications Nice to have: Infrastructure as Code experience with Terraform, Ansible, or CloudFormation Distributed computing experience with Databricks, Ray, or Spark for large-scale AI workloads AI safety & governance experience with model evaluation, bias detection, and responsible AI practices Multi-modal AI experience with vision-language models, speech processing, or other modalities Experience at the Tier-1 product company or related experience working within the product organisation What you'll be doing You'll be responsible for: Design and maintain automated pipelines for both traditional ML models and modern AI systems including LLMs, multimodal models, and AI agents Implement robust CI/CD practices for model training, fine-tuning, evaluation, and deployment across diverse AI workloads Orchestrate seamless deployment of models, AI agents, and inference endpoints with automated testing and rollback capabilities Build and maintain infrastructure for large language model inference, fine-tuning, and serving at scale Implement comprehensive monitoring for model performance, drift detection, AI safety metrics, and responsible AI compliance Evolve operational processes to support both traditional ML and cutting-edge AI technologies Annual Salary Range (ranges may vary based on skills and experience) £100,000 - £135,000 GBP How we work We're a mission-led, product-driven team. We move fast, stay focused and take ownership - from brief to build to impact. Debate is encouraged. Decisions are shared. We care about craft, ship with purpose, and always raise the bar. You'll be working with people who take their work seriously, not themselves. It takes commitment, resilience, and the drive to keep going when things get tough. Because better health outcomes are worth it. What you'll get We support impact with meaningful reward. Here's what that looks like: Competitive salary and annual reviews Opportunity to participate in Flo's performance incentive scheme Paid holiday, sick leave, and female health leave Enhanced parental leave and pay for maternity, paternity, same-sex and adoptive parents Accelerated professional growth through world-changing work and learning support Flexible office + home working, up to 2 months a year working abroad 5-week fully paid sabbatical at 5-year Floversary Flo Premium for friends & family, plus more health, pension and wellbeing perks Diversity, equity and inclusion Our strength is in our differences. At Flo, hiring is based on merit, skill and what you bring to the role - nothing else. We're proud to be an equal opportunity employer, and we welcome applicants from all backgrounds, communities and identities. Read our privacy notice for job applicants .
Aug 07, 2025
Full time
400M+ downloads. 75M+ monthly users. A decade of building - and we're still accelerating. Flo is the world's health app on a mission to build a better future for female health. Backed by a $200M investment led by General Atlantic, we became the first product of our kind to reach a $1B valuation in 2024 - and we're not slowing down. With 6M paid subscribers and the highest-rated experience in the App Store's health category, we've spent 10 years earning trust at scale. Now, we're building the next generation of digital health - AI-powered, privacy-first, clinically backed - to help our users know their body better. The job We're a world-class team of product builders, engineers, data scientists, growth hackers, user researchers, designers, and medical experts - all building an app that generates long-term value to our millions of users worldwide. Our engineers aren't just building a better product; they're making the world a better place by improving access to important health information. We leverage machine learning and AI to provide accurate cycle predictions and relevant, personalized, and medically credible health tips. In this role, you will own the end-to-end AI/ML pipeline, including CI/CD processes for ML and AI engineering workflows. Your responsibilities will encompass managing code, versioning datasets, foundation and fine-tuned models, AI agents, and production endpoints. This will enable ML Engineers to collaborate effectively, experiment efficiently, and scale rapidly across both traditional ML workloads and modern AI applications. The AI Platform team acts as the central enabler of machine learning and AI initiatives across the organization. Its mission is to reduce operational overhead and maximize ROI from ML use cases. As the backbone of ML operations, the team builds and maintains critical infrastructure, including feature stores, model deployment pipelines, experiment tracking systems, and monitoring frameworks. By working closely with domain teams, the AI Platform team delivers scalable, high-quality solutions that accelerate time-to-market while ensuring compliance and maintaining the highest standards of performance. Your Experience Must have: 4+ years of industry experience in applied ML with recent experience in AI/LLM systems Strong proficiency with Python, and familiarity with Scala, Go, or Rust Cloud platform expertise with AWS, GCP, or Azure, including AI-specific services (SageMaker, Vertex AI, Azure AI) Databricks platform experience with Unity Catalog, MLflow, and Databricks Machine Learning for end-to-end AI/ML workflows Modern ML infrastructure experience with tools like MLflow or similar platforms Containerization & orchestration experience with Docker, Kubernetes, and ML-specific operators AI model serving experience with modern inference servers and API gateways for AI applications Nice to have: Infrastructure as Code experience with Terraform, Ansible, or CloudFormation Distributed computing experience with Databricks, Ray, or Spark for large-scale AI workloads AI safety & governance experience with model evaluation, bias detection, and responsible AI practices Multi-modal AI experience with vision-language models, speech processing, or other modalities Experience at the Tier-1 product company or related experience working within the product organisation What you'll be doing You'll be responsible for: Design and maintain automated pipelines for both traditional ML models and modern AI systems including LLMs, multimodal models, and AI agents Implement robust CI/CD practices for model training, fine-tuning, evaluation, and deployment across diverse AI workloads Orchestrate seamless deployment of models, AI agents, and inference endpoints with automated testing and rollback capabilities Build and maintain infrastructure for large language model inference, fine-tuning, and serving at scale Implement comprehensive monitoring for model performance, drift detection, AI safety metrics, and responsible AI compliance Evolve operational processes to support both traditional ML and cutting-edge AI technologies Annual Salary Range (ranges may vary based on skills and experience) £100,000 - £135,000 GBP How we work We're a mission-led, product-driven team. We move fast, stay focused and take ownership - from brief to build to impact. Debate is encouraged. Decisions are shared. We care about craft, ship with purpose, and always raise the bar. You'll be working with people who take their work seriously, not themselves. It takes commitment, resilience, and the drive to keep going when things get tough. Because better health outcomes are worth it. What you'll get We support impact with meaningful reward. Here's what that looks like: Competitive salary and annual reviews Opportunity to participate in Flo's performance incentive scheme Paid holiday, sick leave, and female health leave Enhanced parental leave and pay for maternity, paternity, same-sex and adoptive parents Accelerated professional growth through world-changing work and learning support Flexible office + home working, up to 2 months a year working abroad 5-week fully paid sabbatical at 5-year Floversary Flo Premium for friends & family, plus more health, pension and wellbeing perks Diversity, equity and inclusion Our strength is in our differences. At Flo, hiring is based on merit, skill and what you bring to the role - nothing else. We're proud to be an equal opportunity employer, and we welcome applicants from all backgrounds, communities and identities. Read our privacy notice for job applicants .
At Holland & Barrett , we're on a mission to make health and wellness a way of life for everyone. As one of the world's leading health and wellness retailers, we're transforming into a digital-first business to meet the evolving needs of our customers. Technology is at the heart of this transformation-driving smarter personalisation, seamless experiences, and empowering our teams to build deeper customer relationships. The Role We're looking for a Senior Product Manager - Personalisation to lead the development of connected, highly personalised experiences across our digital and physical channels-including our website, app, and in-store technology. This isn't just about product recommendations. It's about delivering end-to-end journeys tailored to each customer-whether they're browsing online or shopping in-store. Your work will directly support our ambition to help every customer achieve their unique health and wellness goals. You'll take full ownership of Holland & Barrett's in-house personalisation capabilities, driving strategy, roadmap definition, and execution across multiple delivery streams. Working closely with engineering, CRM, marketing, UX research, design, data science and commercial teams, you'll ensure everything we build delivers measurable value across the customer lifecycle. What You'll Be Doing Lead the personalisation squad to define and deliver a clear product vision, strategy, and roadmap across all customer touchpoints. Deeply understand our customers-their behaviours, needs and motivations-through data and research. Partner with UX researchers to validate ideas, uncover insights, and optimise customer journeys. Collaborate effectively with both technical and non-technical teams to deliver high-quality, customer-first products. Work closely with cross-functional stakeholders (data science, analytics, design, UXR, commercial) to drive insight-led product development. Own delivery across multiple squads, including writing PRDs and managing a prioritised Jira backlog. Continuously optimise through A/B testing, experimentation, and performance analytics. Track and deliver against key success metrics-engagement, conversion, NPS and frequency of shop. The Person 5+ years' experience in product management, ideally within personalisation, CRO, or digital customer experience. A strong track record of delivering impactful digital products that drive both customer and commercial value. Deep understanding of omnichannel customer journeys and how to create seamless, consistent experiences across them. Comfortable owning the full product lifecycle-from discovery through to launch and iteration. Experience working with cross-functional teams in a fast-paced, agile environment. Confident using data, experimentation, and research to make informed product decisions. Clear, collaborative communicator with strong stakeholder management skills. Passionate about creating simple, engaging, and personalised experiences that put the customer first. Knowledge of machine learning, product recommendation engines, or omnichannel personalisation. Experience with composable commerce platforms and embedding personalised journeys into them. Ready to shape the future ofpersonalised wellness at Holland & Barrett? Apply now and join a team that's redefining what it means to live well, every day. Technology Incentive Scheme - we offer different bonus schemes for all grades in Technology, starting at 10%. Learning and Development opportunity with Holland & Barrett is a great base for career development long term. Company pension contribution ️ Your wellbeing is paramount so you can get away and take 28 or 33 Days Holiday per year. Refer and Earn Scheme - as we're growing you can earn money by referring people to join us from your network. Epic Extras gives you access to exclusive benefits, free advice and savings from a range of retailers and providers. Stay healthy with Discounted Products - from day one you'll get a 25% discount (on top of other promotions) when you shop at H&B on anything that you buy. We all need a little help sometimes, so we offer Free 24/7 Confidential Advice & Colleague Welfare. Mental Health First Aiders - we have lots of qualified Mental Health First Aiders because its all about your health & wellbeing. We have colleague Reward and Recognition Schemes, so your hard work and loyalty won't go unnoticed. And many more! The Company Holland & Barrett is one of the nation's most loved and trusted brands, known for offering quality health food, vitamins and supplements all sold by highly trained and qualified advisors. Bucking the current trend of high street retailers, we forecast significant growth and expansion plans in the coming years, with considerable investment going into all areas of the business. We certainly embrace change and drive speed in everything we do. Every day presents a different challenge, but every day is also filled with fun, teamwork and passion to succeed and surpass every expectation. Vacancy Alerts Create an alert subscription based on this vacancy
Aug 07, 2025
Full time
At Holland & Barrett , we're on a mission to make health and wellness a way of life for everyone. As one of the world's leading health and wellness retailers, we're transforming into a digital-first business to meet the evolving needs of our customers. Technology is at the heart of this transformation-driving smarter personalisation, seamless experiences, and empowering our teams to build deeper customer relationships. The Role We're looking for a Senior Product Manager - Personalisation to lead the development of connected, highly personalised experiences across our digital and physical channels-including our website, app, and in-store technology. This isn't just about product recommendations. It's about delivering end-to-end journeys tailored to each customer-whether they're browsing online or shopping in-store. Your work will directly support our ambition to help every customer achieve their unique health and wellness goals. You'll take full ownership of Holland & Barrett's in-house personalisation capabilities, driving strategy, roadmap definition, and execution across multiple delivery streams. Working closely with engineering, CRM, marketing, UX research, design, data science and commercial teams, you'll ensure everything we build delivers measurable value across the customer lifecycle. What You'll Be Doing Lead the personalisation squad to define and deliver a clear product vision, strategy, and roadmap across all customer touchpoints. Deeply understand our customers-their behaviours, needs and motivations-through data and research. Partner with UX researchers to validate ideas, uncover insights, and optimise customer journeys. Collaborate effectively with both technical and non-technical teams to deliver high-quality, customer-first products. Work closely with cross-functional stakeholders (data science, analytics, design, UXR, commercial) to drive insight-led product development. Own delivery across multiple squads, including writing PRDs and managing a prioritised Jira backlog. Continuously optimise through A/B testing, experimentation, and performance analytics. Track and deliver against key success metrics-engagement, conversion, NPS and frequency of shop. The Person 5+ years' experience in product management, ideally within personalisation, CRO, or digital customer experience. A strong track record of delivering impactful digital products that drive both customer and commercial value. Deep understanding of omnichannel customer journeys and how to create seamless, consistent experiences across them. Comfortable owning the full product lifecycle-from discovery through to launch and iteration. Experience working with cross-functional teams in a fast-paced, agile environment. Confident using data, experimentation, and research to make informed product decisions. Clear, collaborative communicator with strong stakeholder management skills. Passionate about creating simple, engaging, and personalised experiences that put the customer first. Knowledge of machine learning, product recommendation engines, or omnichannel personalisation. Experience with composable commerce platforms and embedding personalised journeys into them. Ready to shape the future ofpersonalised wellness at Holland & Barrett? Apply now and join a team that's redefining what it means to live well, every day. Technology Incentive Scheme - we offer different bonus schemes for all grades in Technology, starting at 10%. Learning and Development opportunity with Holland & Barrett is a great base for career development long term. Company pension contribution ️ Your wellbeing is paramount so you can get away and take 28 or 33 Days Holiday per year. Refer and Earn Scheme - as we're growing you can earn money by referring people to join us from your network. Epic Extras gives you access to exclusive benefits, free advice and savings from a range of retailers and providers. Stay healthy with Discounted Products - from day one you'll get a 25% discount (on top of other promotions) when you shop at H&B on anything that you buy. We all need a little help sometimes, so we offer Free 24/7 Confidential Advice & Colleague Welfare. Mental Health First Aiders - we have lots of qualified Mental Health First Aiders because its all about your health & wellbeing. We have colleague Reward and Recognition Schemes, so your hard work and loyalty won't go unnoticed. And many more! The Company Holland & Barrett is one of the nation's most loved and trusted brands, known for offering quality health food, vitamins and supplements all sold by highly trained and qualified advisors. Bucking the current trend of high street retailers, we forecast significant growth and expansion plans in the coming years, with considerable investment going into all areas of the business. We certainly embrace change and drive speed in everything we do. Every day presents a different challenge, but every day is also filled with fun, teamwork and passion to succeed and surpass every expectation. Vacancy Alerts Create an alert subscription based on this vacancy
Head of Quantitative Analysis page is loaded Head of Quantitative Analysis Apply locations Cannon Street, London time type Full time posted on Posted Yesterday job requisition id R_15163 Job Title Head of Quantitative Analysis Job Description So, who are we? We're IG Group . We are a publicly - traded FTSE250 FinTech company who run mobile, web and desktop platforms that help our clients trade stocks & shares, leveraged products, Future s & Options and Crypto. We are ambitious . Over 340 ,000 people already use our platforms . We're global with offices in 18 countries and products in 16 regions . We're hungry to move faster, ship better product for our customers and grow our user base. We believe in high autonomy, and we want people who are looking to do things differently in order to create better experiences for our customers . We work in cross-functional teams and are laser focused on increasing the number of active clients we serve to drive sustainable growth. Your role in the Team's Success The Head of Quantitative Analysis will lead our firm's quantitative research and analytical capabilities, overseeing the development, validation, and enhancement of quantitative models and analytical frameworks across multiple asset classes. This senior leadership role combines deep technical expertise with strategic analytical insights to drive data-driven decision making and support the firm's trading and risk management objectives , across its derivatives business . What you'll do Key Responsibilities Leadership & Strategy Provide strategic direction for the firm's quantitative analysis function, identifying new analytical opportunities, methodologies, and technological advancements Lead, mentor, and develop a team of quantitative analysts and researchers Collaborate with senior leadership to align quantitative analysis objectives with overall business goals Build and maintain relationships with key stakeholders across trading , risk, and technology teams Establish and monitor analytical standards and quality metrics for all quantitative research activities Research & Development Drive the innovation and enhancement of proprietary analytical models, valuation frameworks, and risk assessment tools Oversee the research process from hypothesis generation to model validation and implementation Evaluate and prioritize analytical initiatives based on business impact, feasibility, and strategic fit Stay at the forefront of developments in quantitative finance, machine learning, and statistical modelling Foster a culture of intellectual rigor, analytical excellence, and continuous improvement Model Development & Validation Ensure robust development and validation of quantitative models across all business functions Oversee the implementation of analytical frameworks for portfolio optimization, performance attribution, and risk assessment Guide the integration of new analytical tools and methodologies into existing workflows Maintain model governance standards and documentation requirements Risk Management & Analysis Implement comprehensive analytical frameworks for risk measurement and monitoring Ensure proper back testing, stress testing, and scenario analysis of all quantitative models Work with trading and risk teams to develop appropriate analytical controls and reporting Collaborate with the Risk team to support the analysis of market, credit, and operational risks through quantitative methods What you'll need for this role Education & Experience Advanced degree in a quantitative discipline such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering 5+ years of experience in quantitative analysis, research, or related fields Proven track record of developing and implementing analytical models and frameworks Experience managing teams of highly skilled quantitative professionals Demonstrated expertise in statistical modelling and data analysis across multiple domains Technical Skills Deep understanding of statistical methods, econometric techniques, and their application to financial analysis Proficiency in programming languages commonly used in quantitative analysis (Python, R, SQL, MATLAB, etc.) Strong knowledge of financial markets, instruments, and analytical frameworks Experience with big data technologies, cloud computing, and advanced analytics platforms Understanding of financial theory and practice, including portfolio theory, asset pricing, and risk management Leadership & Personal Qualities Strategic vision and analytical mindset Exceptional problem-solving and critical thinking abilities Outstanding communication and presentation skills Ability to lead and inspire teams of technical professionals Intellectual curiosity and commitment to analytical excellence Integrity and ethical conduct in all aspects of research and analysis Number of openings 1 Similar Jobs (1) Head of Institutional Risk locations Cannon Street, London time type Full time posted on Posted 30+ Days Ago Looking for a career at a company that will support you, challenge you and help you grow? IG Group can provide that. We're the market leader in financial derivatives trading, with a focus on innovation and advanced IT development. We're also one of Britain's Top Employers, a ten-year trend we intend to continue.
Aug 07, 2025
Full time
Head of Quantitative Analysis page is loaded Head of Quantitative Analysis Apply locations Cannon Street, London time type Full time posted on Posted Yesterday job requisition id R_15163 Job Title Head of Quantitative Analysis Job Description So, who are we? We're IG Group . We are a publicly - traded FTSE250 FinTech company who run mobile, web and desktop platforms that help our clients trade stocks & shares, leveraged products, Future s & Options and Crypto. We are ambitious . Over 340 ,000 people already use our platforms . We're global with offices in 18 countries and products in 16 regions . We're hungry to move faster, ship better product for our customers and grow our user base. We believe in high autonomy, and we want people who are looking to do things differently in order to create better experiences for our customers . We work in cross-functional teams and are laser focused on increasing the number of active clients we serve to drive sustainable growth. Your role in the Team's Success The Head of Quantitative Analysis will lead our firm's quantitative research and analytical capabilities, overseeing the development, validation, and enhancement of quantitative models and analytical frameworks across multiple asset classes. This senior leadership role combines deep technical expertise with strategic analytical insights to drive data-driven decision making and support the firm's trading and risk management objectives , across its derivatives business . What you'll do Key Responsibilities Leadership & Strategy Provide strategic direction for the firm's quantitative analysis function, identifying new analytical opportunities, methodologies, and technological advancements Lead, mentor, and develop a team of quantitative analysts and researchers Collaborate with senior leadership to align quantitative analysis objectives with overall business goals Build and maintain relationships with key stakeholders across trading , risk, and technology teams Establish and monitor analytical standards and quality metrics for all quantitative research activities Research & Development Drive the innovation and enhancement of proprietary analytical models, valuation frameworks, and risk assessment tools Oversee the research process from hypothesis generation to model validation and implementation Evaluate and prioritize analytical initiatives based on business impact, feasibility, and strategic fit Stay at the forefront of developments in quantitative finance, machine learning, and statistical modelling Foster a culture of intellectual rigor, analytical excellence, and continuous improvement Model Development & Validation Ensure robust development and validation of quantitative models across all business functions Oversee the implementation of analytical frameworks for portfolio optimization, performance attribution, and risk assessment Guide the integration of new analytical tools and methodologies into existing workflows Maintain model governance standards and documentation requirements Risk Management & Analysis Implement comprehensive analytical frameworks for risk measurement and monitoring Ensure proper back testing, stress testing, and scenario analysis of all quantitative models Work with trading and risk teams to develop appropriate analytical controls and reporting Collaborate with the Risk team to support the analysis of market, credit, and operational risks through quantitative methods What you'll need for this role Education & Experience Advanced degree in a quantitative discipline such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering 5+ years of experience in quantitative analysis, research, or related fields Proven track record of developing and implementing analytical models and frameworks Experience managing teams of highly skilled quantitative professionals Demonstrated expertise in statistical modelling and data analysis across multiple domains Technical Skills Deep understanding of statistical methods, econometric techniques, and their application to financial analysis Proficiency in programming languages commonly used in quantitative analysis (Python, R, SQL, MATLAB, etc.) Strong knowledge of financial markets, instruments, and analytical frameworks Experience with big data technologies, cloud computing, and advanced analytics platforms Understanding of financial theory and practice, including portfolio theory, asset pricing, and risk management Leadership & Personal Qualities Strategic vision and analytical mindset Exceptional problem-solving and critical thinking abilities Outstanding communication and presentation skills Ability to lead and inspire teams of technical professionals Intellectual curiosity and commitment to analytical excellence Integrity and ethical conduct in all aspects of research and analysis Number of openings 1 Similar Jobs (1) Head of Institutional Risk locations Cannon Street, London time type Full time posted on Posted 30+ Days Ago Looking for a career at a company that will support you, challenge you and help you grow? IG Group can provide that. We're the market leader in financial derivatives trading, with a focus on innovation and advanced IT development. We're also one of Britain's Top Employers, a ten-year trend we intend to continue.
You will need to login before you can apply for a job. View more categories View less categories Sector Travel and Tourism Role Senior Executive Contract Type Permanent Hours Full Time Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We re building a more open world. Join us. Team Overview Join Expedia Group s Supply Machine Learning (Supply AI) team, where we build intelligent systems that power our global supply partners-hotels, vacation rentals, and more. This role is a Tech Lead position within the Partner Intelligence Pod, focused on developing cutting-edge ML solutions, with a strong emphasis on Generative AI (GenAI). You ll help shape the future of partner-facing experiences and drive innovation at scale. Senior Machine Learning Scientist (Tech Lead) - Generative AI & Partner Intelligence In this role, you will: Lead the design, development, and deployment of end-to-end ML solutions, with a focus on GenAI applications ( 50% of role scope) Act as a technical advisor and mentor to other ML scientists, guiding best practices and fostering a culture of innovation Collaborate with Product Managers to define ambiguous problem spaces, co-create requirements, and drive experimentation Build and optimize production-grade ML pipelines using tools like Databricks, Spark, and cloud-native infrastructure Apply a wide range of ML techniques including deep learning, NLP, ranking, clustering, and forecasting Translate complex business needs into scalable ML solutions that directly impact partner engagement and platform intelligence Contribute to the technical strategy of the Partner Intelligence Pod and help shape the roadmap for ML innovation Experience and qualifications: 5+ years of hands-on experience in machine learning, with a proven track record of delivering production-ready ML systems Experience with full implementation of a Generative AI application is highly desirable Strong expertise in Generative AI, LLMs, or related NLP technologies Proficiency in Python and/or Scala; experience with ML libraries such as TensorFlow, PyTorch, HuggingFace, or scikit-learn Experience with Databricks, distributed data systems (e.g., Spark, Hadoop), and cloud platforms (AWS, GCP, or Azure) Ability to thrive in ambiguous environments, working closely with cross-functional teams to define and deliver impactful solutions Strong communication skills with the ability to influence stakeholders and explain technical concepts to non-technical audiences Degree in Computer Science, Statistics, Engineering, or a related field-or equivalent practical experience (Formal education is not required if you demonstrate strong applied ML expertise) Bonus Points For: Experience working in partner- or supply-side platforms (e.g., B2B SaaS, marketplaces) Background in consulting, research labs, or tech companies with applied ML experience Familiarity with end-to-end ML lifecycle, including model monitoring, retraining, and MLOps best practices Expedia Group is proud to offer a wide range of benefits to support employees and their families, including medical/dental/vision, paid time off, and an Employee Assistance Program. To fuel each employee s passion for travel, we offer a wellness & travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership. View our full list of benefits. Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's family of brands includes: Brand Expediareg; Expediareg; Partner Solutions, Vrboreg;, trivagoreg;, Orbitzreg;, Travelocityreg;, Hotwirereg;, Wotifreg;, ebookersreg;, CheapTicketsreg;, Expedia Group Media Solutions, Expedia Local Expertreg;, and Expedia Cruises. 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: -50 Employment opportunities and job offers at Expedia Group will always come from Expedia Group s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain The official website to find and apply for job openings at Expedia Group is Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age. Company Who we are We are travelers and technologists. We work across time zones, hemispheres, cultures, and languages. We thrive on breaking things down and building them back up again until they're even better. We know travel can be hard. But we also know it's worth it every time. And because we believe travel is a force for good, we take our roles seriously. We're here to build great products and create connections that truly bring good into the world. Accommodations and adjustments We're committed to providing an inclusive and accessible recruiting experience for candidates with disabilities, or other physical or mental health conditions. If you require an accommodation or adjustment for any part of the application or recruitment process, please let us know by completing our Accommodation Request Form. We're a diverse company, that feels like a community When you join Expedia Group you become part of a global network of passionate travelers and technologists. Everyone is welcome here, and we take purposeful steps to create and nurture a diverse, open culture. We find meaning in the work we do: together, we can broaden horizons, strengthen connections, and bridge divides. We're a truly global company, with offices on almost every continent. Our hybrid working policy empowers our employees to enjoy the benefits of remote working while staying connected to their colleagues. No matter where you are - or where you dream of being - we've got opportunities for you to explore. Our industry-leading benefits package enables you to create a fulfilling career while staying healthy, happy, and well. Create a job alert and receive personalised job recommendations straight to your inbox.
Aug 07, 2025
Full time
You will need to login before you can apply for a job. View more categories View less categories Sector Travel and Tourism Role Senior Executive Contract Type Permanent Hours Full Time Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We re building a more open world. Join us. Team Overview Join Expedia Group s Supply Machine Learning (Supply AI) team, where we build intelligent systems that power our global supply partners-hotels, vacation rentals, and more. This role is a Tech Lead position within the Partner Intelligence Pod, focused on developing cutting-edge ML solutions, with a strong emphasis on Generative AI (GenAI). You ll help shape the future of partner-facing experiences and drive innovation at scale. Senior Machine Learning Scientist (Tech Lead) - Generative AI & Partner Intelligence In this role, you will: Lead the design, development, and deployment of end-to-end ML solutions, with a focus on GenAI applications ( 50% of role scope) Act as a technical advisor and mentor to other ML scientists, guiding best practices and fostering a culture of innovation Collaborate with Product Managers to define ambiguous problem spaces, co-create requirements, and drive experimentation Build and optimize production-grade ML pipelines using tools like Databricks, Spark, and cloud-native infrastructure Apply a wide range of ML techniques including deep learning, NLP, ranking, clustering, and forecasting Translate complex business needs into scalable ML solutions that directly impact partner engagement and platform intelligence Contribute to the technical strategy of the Partner Intelligence Pod and help shape the roadmap for ML innovation Experience and qualifications: 5+ years of hands-on experience in machine learning, with a proven track record of delivering production-ready ML systems Experience with full implementation of a Generative AI application is highly desirable Strong expertise in Generative AI, LLMs, or related NLP technologies Proficiency in Python and/or Scala; experience with ML libraries such as TensorFlow, PyTorch, HuggingFace, or scikit-learn Experience with Databricks, distributed data systems (e.g., Spark, Hadoop), and cloud platforms (AWS, GCP, or Azure) Ability to thrive in ambiguous environments, working closely with cross-functional teams to define and deliver impactful solutions Strong communication skills with the ability to influence stakeholders and explain technical concepts to non-technical audiences Degree in Computer Science, Statistics, Engineering, or a related field-or equivalent practical experience (Formal education is not required if you demonstrate strong applied ML expertise) Bonus Points For: Experience working in partner- or supply-side platforms (e.g., B2B SaaS, marketplaces) Background in consulting, research labs, or tech companies with applied ML experience Familiarity with end-to-end ML lifecycle, including model monitoring, retraining, and MLOps best practices Expedia Group is proud to offer a wide range of benefits to support employees and their families, including medical/dental/vision, paid time off, and an Employee Assistance Program. To fuel each employee s passion for travel, we offer a wellness & travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership. View our full list of benefits. Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's family of brands includes: Brand Expediareg; Expediareg; Partner Solutions, Vrboreg;, trivagoreg;, Orbitzreg;, Travelocityreg;, Hotwirereg;, Wotifreg;, ebookersreg;, CheapTicketsreg;, Expedia Group Media Solutions, Expedia Local Expertreg;, and Expedia Cruises. 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: -50 Employment opportunities and job offers at Expedia Group will always come from Expedia Group s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain The official website to find and apply for job openings at Expedia Group is Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age. Company Who we are We are travelers and technologists. We work across time zones, hemispheres, cultures, and languages. We thrive on breaking things down and building them back up again until they're even better. We know travel can be hard. But we also know it's worth it every time. And because we believe travel is a force for good, we take our roles seriously. We're here to build great products and create connections that truly bring good into the world. Accommodations and adjustments We're committed to providing an inclusive and accessible recruiting experience for candidates with disabilities, or other physical or mental health conditions. If you require an accommodation or adjustment for any part of the application or recruitment process, please let us know by completing our Accommodation Request Form. We're a diverse company, that feels like a community When you join Expedia Group you become part of a global network of passionate travelers and technologists. Everyone is welcome here, and we take purposeful steps to create and nurture a diverse, open culture. We find meaning in the work we do: together, we can broaden horizons, strengthen connections, and bridge divides. We're a truly global company, with offices on almost every continent. Our hybrid working policy empowers our employees to enjoy the benefits of remote working while staying connected to their colleagues. No matter where you are - or where you dream of being - we've got opportunities for you to explore. Our industry-leading benefits package enables you to create a fulfilling career while staying healthy, happy, and well. Create a job alert and receive personalised job recommendations straight to your inbox.
Join Barclays as a Senior Cloud Data Platform Engineer, where you'll be responsible for building and maintaining systems that collect, store, process, and evaluate data-such as data pipelines, data warehouses, and data lakes-to ensure all data is accurate, accessible, and secure. To be successful in this role, you should have experience with: Cloud platforms (AWS/Azure) Data Engineering (Airflow/DBT, Spark) DevSecOps practices Additional highly valued skills include: Terraform Python/Java AWS/Azure Data Engineering Snowflake/Databricks You may be assessed on key skills relevant for success in this role, such as risk and controls, change and transformation, business acumen, strategic thinking, digital and technology skills, as well as job-specific technical skills. This role is based in Glasgow. Purpose of the role To build and maintain systems that collect, store, process, and analyze data, such as data pipelines, data warehouses, and data lakes, ensuring data accuracy, accessibility, and security. Accountabilities Build and maintain data architectures and pipelines that enable the transfer and processing of durable, complete, and consistent data. Design and implement data warehouses and data lakes that manage appropriate data volumes and velocity, adhering to security measures. Develop processing and analysis algorithms suitable for the data's complexity and volume. Collaborate with data scientists to build and deploy machine learning models. Vice President Expectations Contribute to strategy, drive requirements, and recommend changes. Plan resources, budgets, and policies; manage and maintain policies and processes; deliver continuous improvements; escalate breaches of policies/procedures. If managing a team, define roles and responsibilities, plan for future needs, counsel employees on performance, and contribute to pay decisions. Lead specialists to influence department operations, balancing short and long-term goals, ensuring budgets and schedules meet requirements. Demonstrate leadership behaviors: Listen and be authentic, Energize and inspire, Align across the enterprise, Develop others. For individual contributors, act as a subject matter expert, guide technical direction, lead multi-year assignments, train and coach less experienced staff, and advise on strategic decisions. Advise stakeholders, manage risks, demonstrate leadership in risk management and controls, and understand organizational functions to support business goals. Collaborate across departments, develop solutions through analytical thinking, incorporate research outcomes, and build trusting relationships with stakeholders. All colleagues are expected to embody the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship, and to demonstrate the Barclays Mindset: Empower, Challenge, and Drive.
Aug 06, 2025
Full time
Join Barclays as a Senior Cloud Data Platform Engineer, where you'll be responsible for building and maintaining systems that collect, store, process, and evaluate data-such as data pipelines, data warehouses, and data lakes-to ensure all data is accurate, accessible, and secure. To be successful in this role, you should have experience with: Cloud platforms (AWS/Azure) Data Engineering (Airflow/DBT, Spark) DevSecOps practices Additional highly valued skills include: Terraform Python/Java AWS/Azure Data Engineering Snowflake/Databricks You may be assessed on key skills relevant for success in this role, such as risk and controls, change and transformation, business acumen, strategic thinking, digital and technology skills, as well as job-specific technical skills. This role is based in Glasgow. Purpose of the role To build and maintain systems that collect, store, process, and analyze data, such as data pipelines, data warehouses, and data lakes, ensuring data accuracy, accessibility, and security. Accountabilities Build and maintain data architectures and pipelines that enable the transfer and processing of durable, complete, and consistent data. Design and implement data warehouses and data lakes that manage appropriate data volumes and velocity, adhering to security measures. Develop processing and analysis algorithms suitable for the data's complexity and volume. Collaborate with data scientists to build and deploy machine learning models. Vice President Expectations Contribute to strategy, drive requirements, and recommend changes. Plan resources, budgets, and policies; manage and maintain policies and processes; deliver continuous improvements; escalate breaches of policies/procedures. If managing a team, define roles and responsibilities, plan for future needs, counsel employees on performance, and contribute to pay decisions. Lead specialists to influence department operations, balancing short and long-term goals, ensuring budgets and schedules meet requirements. Demonstrate leadership behaviors: Listen and be authentic, Energize and inspire, Align across the enterprise, Develop others. For individual contributors, act as a subject matter expert, guide technical direction, lead multi-year assignments, train and coach less experienced staff, and advise on strategic decisions. Advise stakeholders, manage risks, demonstrate leadership in risk management and controls, and understand organizational functions to support business goals. Collaborate across departments, develop solutions through analytical thinking, incorporate research outcomes, and build trusting relationships with stakeholders. All colleagues are expected to embody the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship, and to demonstrate the Barclays Mindset: Empower, Challenge, and Drive.
About Us Encord is building the AI infrastructure of the future. Soon, every big company will be an AI company, and they will need to build, curate, annotate and understand big datasets to train their models. Encord helps them do this. The success of any AI application today is driven by the quality of the training data, and evaluation sets used. In most cases, creating high quality datasets are the most costly and time-consuming part of getting a product to market. Encord is a team of AI researchers, computer scientists, physicists and quants, who felt first-hand how the lack of tools to prepare quality training data was impeding the progress of building AI. It is still early for AI. The potential of the technology is clear, but the tools and processes surrounding it are still primitive. This is why we started Encord. We are a talented and ambitious team of 100+, working at the cutting edge of multimodal and embodied AI, backed by top investors, including CRV and Y Combinator, leading industry executives like Luc Vincent, former VP of AI at Meta, and other top Bay Area leaders in AI. We are one the fastest growing companies in our space, and are consistently rated as the best product in the market by our customers. We have big plans ahead and are looking for our Engineering Manager to join us in building our team. Responsibilities - Lead and manage a squad of 4-5 engineers, building our core product - Collaborate with the cofounders, product managers, and senior engineers to define the product roadmap and ensure it aligns with the company's mission and goals - Drive speedy delivery of high quality features and guide your team towards engineering best practices, including in code reviews, testing, and writing useful documentation - Foster a culture of innovation, collaboration, and ownership within the engineering team - Recruit, interview, hire, and onboard world-class engineers - Mentor and coach individual engineers to help them grow and develop their skills About you - 5+ years of experience in software engineering, with at least 2 years of experience leading a team of engineers - Strong technical background in computer science or a related field - Experience building and scaling complex software systems - Experience leading a fast-moving, high-performing engineering team - Proven ability to recruit and develop technically excellent engineers - Passion for building products that are loved by their users - Excellent communication and collaboration skills - Experience with machine learning, and in particular computer vision, robotics, and embodied AI is a plus We encourage people from all backgrounds, cultures and skill levels to apply. It is okay to not meet all requirements listed as we are looking for individuals who are passionate, eager to learn. What We Offer - Competitive salary, commission and equity in a hyper growth business. - Strong in-person culture: most of our team is in the office 3+ days a week. - Room to grow into anything you choose to - a year ago we were 25 people, now we're at 100. We'll be growing very quickly over the next 24 months and there will be a wide scope for you to grow into roles with greater responsibility. - 25 days annual leave a year + public holidays. Our work is at the intersection of cutting edge AI use cases, and the engineering challenges that come with handling massive scale. Encord offers a rare opportunity to be part of a startup with a clear mission and vision, and with exceptional product-market fit. You will get to explore and build enterprise AI use cases across many different industry verticals such as healthcare, robotics, agentic generative AI and many more.
Aug 06, 2025
Full time
About Us Encord is building the AI infrastructure of the future. Soon, every big company will be an AI company, and they will need to build, curate, annotate and understand big datasets to train their models. Encord helps them do this. The success of any AI application today is driven by the quality of the training data, and evaluation sets used. In most cases, creating high quality datasets are the most costly and time-consuming part of getting a product to market. Encord is a team of AI researchers, computer scientists, physicists and quants, who felt first-hand how the lack of tools to prepare quality training data was impeding the progress of building AI. It is still early for AI. The potential of the technology is clear, but the tools and processes surrounding it are still primitive. This is why we started Encord. We are a talented and ambitious team of 100+, working at the cutting edge of multimodal and embodied AI, backed by top investors, including CRV and Y Combinator, leading industry executives like Luc Vincent, former VP of AI at Meta, and other top Bay Area leaders in AI. We are one the fastest growing companies in our space, and are consistently rated as the best product in the market by our customers. We have big plans ahead and are looking for our Engineering Manager to join us in building our team. Responsibilities - Lead and manage a squad of 4-5 engineers, building our core product - Collaborate with the cofounders, product managers, and senior engineers to define the product roadmap and ensure it aligns with the company's mission and goals - Drive speedy delivery of high quality features and guide your team towards engineering best practices, including in code reviews, testing, and writing useful documentation - Foster a culture of innovation, collaboration, and ownership within the engineering team - Recruit, interview, hire, and onboard world-class engineers - Mentor and coach individual engineers to help them grow and develop their skills About you - 5+ years of experience in software engineering, with at least 2 years of experience leading a team of engineers - Strong technical background in computer science or a related field - Experience building and scaling complex software systems - Experience leading a fast-moving, high-performing engineering team - Proven ability to recruit and develop technically excellent engineers - Passion for building products that are loved by their users - Excellent communication and collaboration skills - Experience with machine learning, and in particular computer vision, robotics, and embodied AI is a plus We encourage people from all backgrounds, cultures and skill levels to apply. It is okay to not meet all requirements listed as we are looking for individuals who are passionate, eager to learn. What We Offer - Competitive salary, commission and equity in a hyper growth business. - Strong in-person culture: most of our team is in the office 3+ days a week. - Room to grow into anything you choose to - a year ago we were 25 people, now we're at 100. We'll be growing very quickly over the next 24 months and there will be a wide scope for you to grow into roles with greater responsibility. - 25 days annual leave a year + public holidays. Our work is at the intersection of cutting edge AI use cases, and the engineering challenges that come with handling massive scale. Encord offers a rare opportunity to be part of a startup with a clear mission and vision, and with exceptional product-market fit. You will get to explore and build enterprise AI use cases across many different industry verticals such as healthcare, robotics, agentic generative AI and many more.
About the Client: The company has 26+ years of experience in delivering Software Product Development, Quality Engineering, and Digital Transformation Consulting Services to Global SMEs & Large Enterprises. They has been delivering services to some of the leading Fortune 500 Companies including Automotive, AdTech, Bio Science, EdTech, FinTech, Manufacturing, Online Retailers, and Investment Banks. Job Overview: The Al Solution Architect and COE Lead will play a pivotal role in leading the design, development, and implementation of artificial intelligence solutions within the organization. This position will also be responsible for driving the strategy for Al excellence and best practices by establishing and overseeing the Al Centre of Excellence (COE). The COE will focus on nurturing Al talent, fostering knowledge sharing, and continuously evolving Al practices across the organization Location: Chennai, Onsite Experience: • 11+ years of experience in Al, machine learning, or data science , with a proven track record of delivering Al solutions. • 7+ years of experience in a leadership or architecture role, ideally with some experience in leading a Centre of Excellence or a similar initiative. • Hands-on experience with Al frameworks such as TensorFlow, PyTorch, Scikit-learn, and cloud platforms like AWS, Azure, or Google Cloud. • Experience in multiple industries is advantageous (e.g., healthcare, finance, retail). Skills: AI/ML Expertise: Strong understanding of machine learning algorithms, deep learning, natural language processing, computer vision, and data-driven problem-solving techniques. Architecture Skills: Proven ability to design and architect scalable, reliable, and high-performance Al solutions. Leadership and Communication: Excellent leadership skills with the ability to influence and collaborate with cross-functional teams. Strong presentation and communication skills for engaging stakeholders at all levels. Project Management: Experience managing large, complex projects with diverse teams and tight deadlines. Governance and Best Practices: Deep understanding of Al governance frameworks, industry standards, and ethical guidelines. Key Responsibilities: 1. Al Solution Architecture: Design and Develop Al Solutions: Lead the end-to-end process of designing, developing, and deploying Al solutions tailored to business needs. Technical Leadership: Provide technical leadership to cross-functional teams working on Al-related projects, ensuring high standards in solution design, integration, and deployment. Consulting and Advisory: Work closely with stakeholders to identify business requirements and translate them into Al-powered solutions, including machine learning models, data pipelines, and Al- driven processes. Platform Selection and Integration: Evaluate and select appropriate Al tools, platforms, and technologies to meet business goals. Oversee integration with existing systems, ensuring scalability and efficiency. Optimization and Innovation: Continuously monitor, optimize, and evolve Al solutions, keeping the organization at the forefront of Al advancements. 2. Centre of Excellence (COE) Management: COE Strategy Development: Develop and implement a strategy for the Al Centre of Excellence, ensuring alignment with business objectives and Al best practices. Knowledge Sharing and Governance: Establish frameworks for knowledge sharing, training, and governance, ensuring that Al practices are consistent and scalable across the organization. Innovation Culture: Foster a culture of innovation and experimentation, encouraging cross- functional collaboration and new Al research and application. Talent Development: Lead efforts to upskill internal teams by organizing training sessions, workshops, and seminars focused on the latest Al technologies and methodologies. Standardization and Best Practices: Define Al-related standards, processes, and best practices across the organization. Ensure all teams adhere to these guidelines to maintain quality and consistency. 3. Stakeholder Engagement: Cross-Functional Collaboration: Collaborate with business leaders, data scientists, IT teams, and product managers to deliver effective Al solutions. Client-facing Engagement: Engage with clients to understand their needs, demonstrate Al capabilities, and provide thought leadership on how Al can address their challenges. Executive Reporting: Regularly report to senior leadership on the progress of Al initiatives, highlighting key milestones, risks, and opportunities. 4. Research and Development: Emerging Technologies: Stay updated on the latest developments in Al technologies, including deep learning, reinforcement learning, natural language processing (NLP), and computer vision, and evaluate their potential impact on business processes. Proof of Concept (POC): Lead the development of PoCs and pilot projects to test Al ideas and validate their feasibility before broader implementation. 5. Al Governance and Compliance: Ethical Al: Ensure the responsible and ethical use of Al, taking into consideration issues related to fairness, transparency, privacy, and security. Compliance: Maintain awareness of Al-related regulations and ensure the organization's solutions adhere to legal, ethical, and industry standards.
Aug 06, 2025
Full time
About the Client: The company has 26+ years of experience in delivering Software Product Development, Quality Engineering, and Digital Transformation Consulting Services to Global SMEs & Large Enterprises. They has been delivering services to some of the leading Fortune 500 Companies including Automotive, AdTech, Bio Science, EdTech, FinTech, Manufacturing, Online Retailers, and Investment Banks. Job Overview: The Al Solution Architect and COE Lead will play a pivotal role in leading the design, development, and implementation of artificial intelligence solutions within the organization. This position will also be responsible for driving the strategy for Al excellence and best practices by establishing and overseeing the Al Centre of Excellence (COE). The COE will focus on nurturing Al talent, fostering knowledge sharing, and continuously evolving Al practices across the organization Location: Chennai, Onsite Experience: • 11+ years of experience in Al, machine learning, or data science , with a proven track record of delivering Al solutions. • 7+ years of experience in a leadership or architecture role, ideally with some experience in leading a Centre of Excellence or a similar initiative. • Hands-on experience with Al frameworks such as TensorFlow, PyTorch, Scikit-learn, and cloud platforms like AWS, Azure, or Google Cloud. • Experience in multiple industries is advantageous (e.g., healthcare, finance, retail). Skills: AI/ML Expertise: Strong understanding of machine learning algorithms, deep learning, natural language processing, computer vision, and data-driven problem-solving techniques. Architecture Skills: Proven ability to design and architect scalable, reliable, and high-performance Al solutions. Leadership and Communication: Excellent leadership skills with the ability to influence and collaborate with cross-functional teams. Strong presentation and communication skills for engaging stakeholders at all levels. Project Management: Experience managing large, complex projects with diverse teams and tight deadlines. Governance and Best Practices: Deep understanding of Al governance frameworks, industry standards, and ethical guidelines. Key Responsibilities: 1. Al Solution Architecture: Design and Develop Al Solutions: Lead the end-to-end process of designing, developing, and deploying Al solutions tailored to business needs. Technical Leadership: Provide technical leadership to cross-functional teams working on Al-related projects, ensuring high standards in solution design, integration, and deployment. Consulting and Advisory: Work closely with stakeholders to identify business requirements and translate them into Al-powered solutions, including machine learning models, data pipelines, and Al- driven processes. Platform Selection and Integration: Evaluate and select appropriate Al tools, platforms, and technologies to meet business goals. Oversee integration with existing systems, ensuring scalability and efficiency. Optimization and Innovation: Continuously monitor, optimize, and evolve Al solutions, keeping the organization at the forefront of Al advancements. 2. Centre of Excellence (COE) Management: COE Strategy Development: Develop and implement a strategy for the Al Centre of Excellence, ensuring alignment with business objectives and Al best practices. Knowledge Sharing and Governance: Establish frameworks for knowledge sharing, training, and governance, ensuring that Al practices are consistent and scalable across the organization. Innovation Culture: Foster a culture of innovation and experimentation, encouraging cross- functional collaboration and new Al research and application. Talent Development: Lead efforts to upskill internal teams by organizing training sessions, workshops, and seminars focused on the latest Al technologies and methodologies. Standardization and Best Practices: Define Al-related standards, processes, and best practices across the organization. Ensure all teams adhere to these guidelines to maintain quality and consistency. 3. Stakeholder Engagement: Cross-Functional Collaboration: Collaborate with business leaders, data scientists, IT teams, and product managers to deliver effective Al solutions. Client-facing Engagement: Engage with clients to understand their needs, demonstrate Al capabilities, and provide thought leadership on how Al can address their challenges. Executive Reporting: Regularly report to senior leadership on the progress of Al initiatives, highlighting key milestones, risks, and opportunities. 4. Research and Development: Emerging Technologies: Stay updated on the latest developments in Al technologies, including deep learning, reinforcement learning, natural language processing (NLP), and computer vision, and evaluate their potential impact on business processes. Proof of Concept (POC): Lead the development of PoCs and pilot projects to test Al ideas and validate their feasibility before broader implementation. 5. Al Governance and Compliance: Ethical Al: Ensure the responsible and ethical use of Al, taking into consideration issues related to fairness, transparency, privacy, and security. Compliance: Maintain awareness of Al-related regulations and ensure the organization's solutions adhere to legal, ethical, and industry standards.
Job Description Chase International Consumer Lending Analytics Team is the center of excellence for strategic and data analytics for International Consumer Retail and SME lending business. The team is responsible for measuring the effectiveness of and driving International Consumer Bank strategies across marketing, sales, distribution, pricing, and customer analytics. The results and learnings from these analyses, which seek to quantify both statistical and practical significance, are used to drive future strategy using a full suite of analytical techniques. The team offers significant learning and mobility opportunities for career development and future growth. The Data Scientists in this role will: Analyze and measure the effectiveness of lending strategies including performance of marketing campaigns or customer segmentation Work with credit risk team to optimize the credit risk strategies for the lending products Consult with business partners on analytical needs and make strategy recommendations Solve unstructured business problems and develop deep dive analysis of customer behavior using multiple analytics and statistical techniques. Interpret results and present to stakeholders and senior management Continuously develop skills to provide best-in-class analytics to the business Minimum Qualifications: Bachelor's and Master's degree in a quantitative discipline (Data Science/Analytics, Mathematics, Statistics, Physics, Engineering, Economics, Finance or related fields) Strong knowledge and experience in retail lending such as credit cards, personal loan, or overdraft products. Thought leader in data science and analytics who can define analytical agenda for projects, demonstrates ability to frame ambiguous business questions into analytical plans (e.g., assessing data needs, sourcing files, preparing data, creating new features, evaluating quality, etc.), and executes with precision Knowledge of modern data mining, quantitative research, and data science techniques (e.g., decision trees, regressions, machine learning, string similarity, behavioral analytics, look-a-like models) 3+ years of experience with SQL, Hive, Hadoop, Spark, Python 3+ years of experience in applying statistical methods to real world problems Superior written, oral communication and presentation skills with experience communicating concisely and effectively with all levels of management and partners Successful candidates in this role are: Self-starter with out-of-the box problem solving skills and a drive to bring new ideas to life Strong time-management skills, with the ability to multi-task and keep numerous projects on track Intellectually curious and eager to learn new things with an eye towards innovation Strategic thinkers with the ability to focus on business goals Excellent at solving unstructured problems independently Highly organized and able to prioritize multiple tasks Superior written and oral communication and presentation skills with experience communicating effectively with diverse audiences - across business and technology partners, including senior leadership 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. The Digital team is dedicated to creating innovative, industry-leading products and experiences that help customers access, share and control their financial data so they can make smart decisions with their money. Teams enable innovation while adhering to the firm's data sharing principles of security, customer control and convenience, and privacy.
Aug 06, 2025
Full time
Job Description Chase International Consumer Lending Analytics Team is the center of excellence for strategic and data analytics for International Consumer Retail and SME lending business. The team is responsible for measuring the effectiveness of and driving International Consumer Bank strategies across marketing, sales, distribution, pricing, and customer analytics. The results and learnings from these analyses, which seek to quantify both statistical and practical significance, are used to drive future strategy using a full suite of analytical techniques. The team offers significant learning and mobility opportunities for career development and future growth. The Data Scientists in this role will: Analyze and measure the effectiveness of lending strategies including performance of marketing campaigns or customer segmentation Work with credit risk team to optimize the credit risk strategies for the lending products Consult with business partners on analytical needs and make strategy recommendations Solve unstructured business problems and develop deep dive analysis of customer behavior using multiple analytics and statistical techniques. Interpret results and present to stakeholders and senior management Continuously develop skills to provide best-in-class analytics to the business Minimum Qualifications: Bachelor's and Master's degree in a quantitative discipline (Data Science/Analytics, Mathematics, Statistics, Physics, Engineering, Economics, Finance or related fields) Strong knowledge and experience in retail lending such as credit cards, personal loan, or overdraft products. Thought leader in data science and analytics who can define analytical agenda for projects, demonstrates ability to frame ambiguous business questions into analytical plans (e.g., assessing data needs, sourcing files, preparing data, creating new features, evaluating quality, etc.), and executes with precision Knowledge of modern data mining, quantitative research, and data science techniques (e.g., decision trees, regressions, machine learning, string similarity, behavioral analytics, look-a-like models) 3+ years of experience with SQL, Hive, Hadoop, Spark, Python 3+ years of experience in applying statistical methods to real world problems Superior written, oral communication and presentation skills with experience communicating concisely and effectively with all levels of management and partners Successful candidates in this role are: Self-starter with out-of-the box problem solving skills and a drive to bring new ideas to life Strong time-management skills, with the ability to multi-task and keep numerous projects on track Intellectually curious and eager to learn new things with an eye towards innovation Strategic thinkers with the ability to focus on business goals Excellent at solving unstructured problems independently Highly organized and able to prioritize multiple tasks Superior written and oral communication and presentation skills with experience communicating effectively with diverse audiences - across business and technology partners, including senior leadership 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. The Digital team is dedicated to creating innovative, industry-leading products and experiences that help customers access, share and control their financial data so they can make smart decisions with their money. Teams enable innovation while adhering to the firm's data sharing principles of security, customer control and convenience, and privacy.
Job Description Take a technical leadership position within JPMorgan's Commercial & Investment Bank, where you'll harness cutting-edge AI techniques to revolutionize business decisions and automate processes. As an Applied AI / ML Lead - Vice President - Machine Learning Engineer in the Applied AI ML team at JPMorgan Commercial & Investment Bank, you will be at the forefront of combining cutting-edge AI techniques with the company's unique data assets to optimize business decisions and automate processes. You will have the opportunity to advance the state-of-the-art in AI as applied to financial services, leveraging the latest research from fields of Natural Language Processing, Computer Vision, and statistical machine learning. You will be instrumental in building products that automate processes, help experts prioritize their time, and make better decisions. We have a growing portfolio of AI-powered products and services and increasing opportunity for re-use of foundational components through careful design of libraries and services to be leveraged across the team. This role offers a unique blend of scientific research and software engineering, requiring a deep understanding of both mindsets. The role is initially that of an individual contributor, though there will be optional opportunity for management responsibility dependent on the candidate's experience. Job responsibilities Build robust Data Science capabilities which can be scaled across multiple business use cases Collaborate with software engineering team to design and deploy Machine Learning services that can be integrated with strategic systems Research and analyse data sets using a variety of statistical and machine learning techniques Communicate AI capabilities and results to both technical and non-technical audiences Document approaches taken, techniques used and processes followed to comply with industry regulation Collaborate closely with cloud and SRE teams while taking a leading role in the design and delivery of the production architectures for our solutions Required qualifications, capabilities, and skills Hands on experience in an ML engineering role PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Statistics Track record of developing, deploying business critical machine learning models Broad knowledge of MLOps tooling - for versioning, reproducibility, observability etc Experience monitoring, maintaining, enhancing existing models over an extended time period Specialism in NLP or Computer Vision Solid understanding of fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures (transformers, CNN, autoencoders etc.) Extensive experience with pytorch, numpy, pandas Knowledge of open source datasets and benchmarks in NLP / Computer Vision Hands-on experience in implementing distributed/multi-threaded/scalable applications (incl. frameworks such as Ray, Horovod, DeepSpeed, etc.) Able to communicate technical information and ideas at all levels; convey information clearly and create trust with stakeholders. Preferred qualifications, capabilities, and skills Experience designing/ implementing pipelines using DAGs (e.g. Kubeflow, DVC, Ray) Experience of big data technologies (e.g. Spark, Hadoop) Have constructed batch and streaming microservices exposed as REST/gRPC endpoints Familiarity with GraphQL 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 J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
Aug 06, 2025
Full time
Job Description Take a technical leadership position within JPMorgan's Commercial & Investment Bank, where you'll harness cutting-edge AI techniques to revolutionize business decisions and automate processes. As an Applied AI / ML Lead - Vice President - Machine Learning Engineer in the Applied AI ML team at JPMorgan Commercial & Investment Bank, you will be at the forefront of combining cutting-edge AI techniques with the company's unique data assets to optimize business decisions and automate processes. You will have the opportunity to advance the state-of-the-art in AI as applied to financial services, leveraging the latest research from fields of Natural Language Processing, Computer Vision, and statistical machine learning. You will be instrumental in building products that automate processes, help experts prioritize their time, and make better decisions. We have a growing portfolio of AI-powered products and services and increasing opportunity for re-use of foundational components through careful design of libraries and services to be leveraged across the team. This role offers a unique blend of scientific research and software engineering, requiring a deep understanding of both mindsets. The role is initially that of an individual contributor, though there will be optional opportunity for management responsibility dependent on the candidate's experience. Job responsibilities Build robust Data Science capabilities which can be scaled across multiple business use cases Collaborate with software engineering team to design and deploy Machine Learning services that can be integrated with strategic systems Research and analyse data sets using a variety of statistical and machine learning techniques Communicate AI capabilities and results to both technical and non-technical audiences Document approaches taken, techniques used and processes followed to comply with industry regulation Collaborate closely with cloud and SRE teams while taking a leading role in the design and delivery of the production architectures for our solutions Required qualifications, capabilities, and skills Hands on experience in an ML engineering role PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Statistics Track record of developing, deploying business critical machine learning models Broad knowledge of MLOps tooling - for versioning, reproducibility, observability etc Experience monitoring, maintaining, enhancing existing models over an extended time period Specialism in NLP or Computer Vision Solid understanding of fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures (transformers, CNN, autoencoders etc.) Extensive experience with pytorch, numpy, pandas Knowledge of open source datasets and benchmarks in NLP / Computer Vision Hands-on experience in implementing distributed/multi-threaded/scalable applications (incl. frameworks such as Ray, Horovod, DeepSpeed, etc.) Able to communicate technical information and ideas at all levels; convey information clearly and create trust with stakeholders. Preferred qualifications, capabilities, and skills Experience designing/ implementing pipelines using DAGs (e.g. Kubeflow, DVC, Ray) Experience of big data technologies (e.g. Spark, Hadoop) Have constructed batch and streaming microservices exposed as REST/gRPC endpoints Familiarity with GraphQL 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 J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
Job Description We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorgan Chase within the EDG Front-Office Tech stream, 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. Join JPMorgan Chase's EDG Front-Office Tech stream as a Senior Software Engineer, where you'll partner closely with the trading desk, technology teams, and Quantitative Research to develop and enhance critical applications. Utilize a wide variety of technologies, including Python, Java, and React/Redux, to solve business problems and automate Front Office processes. 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 Partner with the Front Office to develop new applications and maintain the existing stack to ensure stability. Participate in a new strategy to automate Front Office processes and functions using technology solutions. Collaborate with global and local counterparts to leverage best-in-class technologies and solve business problems. Engage in various business transformation projects across market/trade/client analytics and marking/publishing. Propose and explore new solutions that can give the firm an edge against the competition. Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and proficient advanced experience developing in Python Experience with development, deployment, and maintenance of commercial service-oriented applications. Hands-on practical experience in system design, application development, testing, and operational stability Proficient in coding in one or more languages Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages. Experience with React and front-end development. Understanding of how to effectively utilize unit-testing. 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.) Preferred qualifications, capabilities, and skills Business knowledge of simple derivative products (e.g., vanilla options, variance swaps) and how to evaluate risk exposure using Greeks. Equities business knowledge or relevant experience in other business areas. Knowledge of at least one relational database such as Sybase, SQL Server, or Oracle. Unix or Linux knowledge. Working knowledge of continuous integration and deployment processes. Experience with project management. Experience with service-oriented platforms and a good understanding of current generation open-source frameworks. 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 J.P. Morgan's Global Banking business is one of the largest wholesale banking client franchises in the world. We serve clients, including corporations, governments, states, municipalities, healthcare organizations, education institutions, banks and investors. Commercial Banking provides credit and financing, treasury and payment services, international banking and real estate services to clients-including corporations, municipalities, institutions, real estate investors and owners, and not-for-profit organizations.
Aug 06, 2025
Full time
Job Description We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorgan Chase within the EDG Front-Office Tech stream, 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. Join JPMorgan Chase's EDG Front-Office Tech stream as a Senior Software Engineer, where you'll partner closely with the trading desk, technology teams, and Quantitative Research to develop and enhance critical applications. Utilize a wide variety of technologies, including Python, Java, and React/Redux, to solve business problems and automate Front Office processes. 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 Partner with the Front Office to develop new applications and maintain the existing stack to ensure stability. Participate in a new strategy to automate Front Office processes and functions using technology solutions. Collaborate with global and local counterparts to leverage best-in-class technologies and solve business problems. Engage in various business transformation projects across market/trade/client analytics and marking/publishing. Propose and explore new solutions that can give the firm an edge against the competition. Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and proficient advanced experience developing in Python Experience with development, deployment, and maintenance of commercial service-oriented applications. Hands-on practical experience in system design, application development, testing, and operational stability Proficient in coding in one or more languages Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages. Experience with React and front-end development. Understanding of how to effectively utilize unit-testing. 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.) Preferred qualifications, capabilities, and skills Business knowledge of simple derivative products (e.g., vanilla options, variance swaps) and how to evaluate risk exposure using Greeks. Equities business knowledge or relevant experience in other business areas. Knowledge of at least one relational database such as Sybase, SQL Server, or Oracle. Unix or Linux knowledge. Working knowledge of continuous integration and deployment processes. Experience with project management. Experience with service-oriented platforms and a good understanding of current generation open-source frameworks. 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 J.P. Morgan's Global Banking business is one of the largest wholesale banking client franchises in the world. We serve clients, including corporations, governments, states, municipalities, healthcare organizations, education institutions, banks and investors. Commercial Banking provides credit and financing, treasury and payment services, international banking and real estate services to clients-including corporations, municipalities, institutions, real estate investors and owners, and not-for-profit organizations.
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.
Aug 06, 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.
About Xaira Therapeutics Xaira is an innovative biotech startup focused on leveraging AI to transform drug discovery and development. The company is leading the development of generative AI models to design protein and antibody therapeutics, enabling the creation of medicines against historically hard-to-drug molecular targets. It is also developing foundation models for biology and disease to enable better target elucidation and patient stratification. Collectively, these technologies aim to continually enable the identification of novel therapies and to improve success in drug development. Xaira is headquartered in the San Francisco Bay Area, Seattle, and London. Position Overview We are seeking an experienced AI Research Engineer to join our team and lead some of our efforts in building the AI powered future of drug discovery. As a senior member of our interdisciplinary group, you will collaborate closely with AI scientists, other engineers, and drug discovery experts to help develop AI models to accelerate the identification and development of novel therapeutics. This role offers a unique opportunity to leverage cutting-edge AI techniques to address pressing challenges in healthcare and contribute to improving human health globally. Key Responsibilities Drive the development of state-of-the-art AI models for drug discovery tasks, leveraging deep learning frameworks. Scale distributed training of large AI models on GPUs. Profile and optimize AI models in training and inference contexts. Stay abreast of the latest advancements in AI, machine learning and proactively identify opportunities for innovation and improvement. Contribute to technical documentation, reports, and presentations to communicate findings, methodologies, and insights clearly and effectively. Provide deep technical leadership on the development and optimization of core AI models that power our drug discovery efforts. Minimum Qualifications Bachelor's degree in Computer Science, Engineering, or related fields. 7+ years of industry experience in AI, machine learning, or related roles, with a track record of successfully implementing and deploying AI models in production environments. Proficiency in programming languages such as Python, C++ and deep expertise with frameworks such as PyTorch/Jax Strong understanding of deep learning fundamentals, including neural network architectures, optimization techniques, and evaluation metrics. Experience in distributed training and inference of large scale AI models on thousands of GPUs using DDP, FSDP etc Experience with performance optimization of large scale AI models Effective communication and collaboration abilities, with the capacity to work effectively in a fast-paced, multidisciplinary team environment. Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward. Preferred Qualifications: Publication track record at conferences such as NeurIPS, ICML, ICLR, etc. Experience working and communicating cross-functionally on an interdisciplinary team. Experience with different GPU architectures, cloud environments and investigating tradeoffs Experience with low level hardware optimization and with custom CUDA kernels Contributions to open source projects Benefits Opportunity to make a meaningful impact by contributing to groundbreaking research at the intersection of AI and healthcare. Competitive compensation package, including salary, bonuses, and benefits. Professional development opportunities, including access to conferences, workshops, and training programs. A collaborative and inclusive work culture that values diversity, creativity, and continuous learning. Chance to work with and develop cutting-edge technologies and contribute to projects with significant societal benefit. If you are a motivated individual with a passion for applying AI to advance drug discovery and improve human health, we encourage you to apply and join us in our mission to make a positive difference in the world. Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end. TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. Xaira Therapeutics is not responsible for any fees related to unsolicited resumes.
Aug 06, 2025
Full time
About Xaira Therapeutics Xaira is an innovative biotech startup focused on leveraging AI to transform drug discovery and development. The company is leading the development of generative AI models to design protein and antibody therapeutics, enabling the creation of medicines against historically hard-to-drug molecular targets. It is also developing foundation models for biology and disease to enable better target elucidation and patient stratification. Collectively, these technologies aim to continually enable the identification of novel therapies and to improve success in drug development. Xaira is headquartered in the San Francisco Bay Area, Seattle, and London. Position Overview We are seeking an experienced AI Research Engineer to join our team and lead some of our efforts in building the AI powered future of drug discovery. As a senior member of our interdisciplinary group, you will collaborate closely with AI scientists, other engineers, and drug discovery experts to help develop AI models to accelerate the identification and development of novel therapeutics. This role offers a unique opportunity to leverage cutting-edge AI techniques to address pressing challenges in healthcare and contribute to improving human health globally. Key Responsibilities Drive the development of state-of-the-art AI models for drug discovery tasks, leveraging deep learning frameworks. Scale distributed training of large AI models on GPUs. Profile and optimize AI models in training and inference contexts. Stay abreast of the latest advancements in AI, machine learning and proactively identify opportunities for innovation and improvement. Contribute to technical documentation, reports, and presentations to communicate findings, methodologies, and insights clearly and effectively. Provide deep technical leadership on the development and optimization of core AI models that power our drug discovery efforts. Minimum Qualifications Bachelor's degree in Computer Science, Engineering, or related fields. 7+ years of industry experience in AI, machine learning, or related roles, with a track record of successfully implementing and deploying AI models in production environments. Proficiency in programming languages such as Python, C++ and deep expertise with frameworks such as PyTorch/Jax Strong understanding of deep learning fundamentals, including neural network architectures, optimization techniques, and evaluation metrics. Experience in distributed training and inference of large scale AI models on thousands of GPUs using DDP, FSDP etc Experience with performance optimization of large scale AI models Effective communication and collaboration abilities, with the capacity to work effectively in a fast-paced, multidisciplinary team environment. Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward. Preferred Qualifications: Publication track record at conferences such as NeurIPS, ICML, ICLR, etc. Experience working and communicating cross-functionally on an interdisciplinary team. Experience with different GPU architectures, cloud environments and investigating tradeoffs Experience with low level hardware optimization and with custom CUDA kernels Contributions to open source projects Benefits Opportunity to make a meaningful impact by contributing to groundbreaking research at the intersection of AI and healthcare. Competitive compensation package, including salary, bonuses, and benefits. Professional development opportunities, including access to conferences, workshops, and training programs. A collaborative and inclusive work culture that values diversity, creativity, and continuous learning. Chance to work with and develop cutting-edge technologies and contribute to projects with significant societal benefit. If you are a motivated individual with a passion for applying AI to advance drug discovery and improve human health, we encourage you to apply and join us in our mission to make a positive difference in the world. Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end. TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. Xaira Therapeutics is not responsible for any fees related to unsolicited resumes.
Sr. Applied Scientist, Trustworthy Shopping Experience (TSE) Are you excited about solving complex business problems at scale through GenAI? Are you fascinated about the application of Agentic AI and LLMs on real-life scenarios? Are you looking to invent solutions that drive Autonomous Artificial Intelligence? If so, we are looking for you to fill a challenging position on Amazon's Trustworthy Shopping Experience (TSE) team. At TSE, our vision is to guarantee customers a worry-free shopping experience by earning their trust that the products they buy are safe, authentic, and compliant with regulations and policy, and giving them the confidence that Amazon stands behind every product and will make it right in the rare chance anything goes wrong. We do this in close partnership with our selling partners and empower them with best-in-class tools and expertise required to offer a high-quality selection of compliant products that customers trust. When we do this consistently, we help selling partners grow their business and power their long-term success. As a Senior Applied Scientist on the team, you will be responsible for delivering the science solutions required to automate complex manual investigation processes, especially by leveraging LLMs. You will handle Amazon scale use-cases with significant impact to the cost of serving Customers. Key job responsibilities - You invent and design new solutions for scientifically-complex problem areas and/or opportunities in existing or new business initiatives. - You design experiments and define the science approach to solve critical business use-cases for automating manual work that involves unstructured text, documents, images, symbols, etc. - Your work focuses on ambiguous problem areas at the product level, where the business problem or opportunity may not yet be crisply defined. - You drive or heavily influence the design of scientifically-complex software solutions or systems, for which you personally write significant parts of the critical scientific novelty. - You provide a system-wide view and design guidance for solutions that can be brand new or evolve from existing ones. - You apply and set the example for best practices in software engineering, and systematically peer review code written by your team members. - You set standards and proactively drive components to use and improve on state-of-the-art techniques. - You autonomously drive thoughtful discussions with customers, engineers, and scientist peers, and build consensus on larger projects and factor complex efforts into independent tasks that can be performed by you and others. About the team Investigation technology Product team in TSE is responsible for the human-in-the-loop products and technology used in the risk investigations at Amazon. The team is also responsible for reducing the cost of performing the investigations, by automating wherever possible and optimizing the experience where manual interventions are needed. The team leverages state-of-the art technology and GenAI to deliver the products and associated goals. BASIC QUALIFICATIONS - 3+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning - Experience with prompting techniques for LLMs PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. - PhD in math/statistics/engineering or other equivalent quantitative discipline - Experience with conducting research in a corporate setting - Experience in patents or publications at top-tier peer-reviewed conferences or journals. 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.
Aug 06, 2025
Full time
Sr. Applied Scientist, Trustworthy Shopping Experience (TSE) Are you excited about solving complex business problems at scale through GenAI? Are you fascinated about the application of Agentic AI and LLMs on real-life scenarios? Are you looking to invent solutions that drive Autonomous Artificial Intelligence? If so, we are looking for you to fill a challenging position on Amazon's Trustworthy Shopping Experience (TSE) team. At TSE, our vision is to guarantee customers a worry-free shopping experience by earning their trust that the products they buy are safe, authentic, and compliant with regulations and policy, and giving them the confidence that Amazon stands behind every product and will make it right in the rare chance anything goes wrong. We do this in close partnership with our selling partners and empower them with best-in-class tools and expertise required to offer a high-quality selection of compliant products that customers trust. When we do this consistently, we help selling partners grow their business and power their long-term success. As a Senior Applied Scientist on the team, you will be responsible for delivering the science solutions required to automate complex manual investigation processes, especially by leveraging LLMs. You will handle Amazon scale use-cases with significant impact to the cost of serving Customers. Key job responsibilities - You invent and design new solutions for scientifically-complex problem areas and/or opportunities in existing or new business initiatives. - You design experiments and define the science approach to solve critical business use-cases for automating manual work that involves unstructured text, documents, images, symbols, etc. - Your work focuses on ambiguous problem areas at the product level, where the business problem or opportunity may not yet be crisply defined. - You drive or heavily influence the design of scientifically-complex software solutions or systems, for which you personally write significant parts of the critical scientific novelty. - You provide a system-wide view and design guidance for solutions that can be brand new or evolve from existing ones. - You apply and set the example for best practices in software engineering, and systematically peer review code written by your team members. - You set standards and proactively drive components to use and improve on state-of-the-art techniques. - You autonomously drive thoughtful discussions with customers, engineers, and scientist peers, and build consensus on larger projects and factor complex efforts into independent tasks that can be performed by you and others. About the team Investigation technology Product team in TSE is responsible for the human-in-the-loop products and technology used in the risk investigations at Amazon. The team is also responsible for reducing the cost of performing the investigations, by automating wherever possible and optimizing the experience where manual interventions are needed. The team leverages state-of-the art technology and GenAI to deliver the products and associated goals. BASIC QUALIFICATIONS - 3+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning - Experience with prompting techniques for LLMs PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. - PhD in math/statistics/engineering or other equivalent quantitative discipline - Experience with conducting research in a corporate setting - Experience in patents or publications at top-tier peer-reviewed conferences or journals. 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.
About AQEMIA AQEMIA is a next-gen pharmatech company generating one of the world's fastest-growing drug discovery pipeline. Our mission is to design fast innovative drug candidates for dozens of critical diseases, such as immuno-oncology. Our unique approach leverages quantum-inspired physics algorithms to power generative AI in designing novel drug candidates-without relying on experimental data. We already delivered several drug discovery successes within our internal pipeline and through collaborations with pharmaceutical companies. Our most advanced programs are currently in vivo optimization. Role Overview We are seeking a Senior Manager to lead our Physics Application Science Team. This team is responsible for integrating and optimising physics-based computational methods to enhance our drug discovery efforts. This role is critical in ensuring that physics-based computational methods effectively contribute to our hit discovery and lead optimisation strategies, ultimately accelerating the identification of novel drug candidates. The ideal candidate will have both strong leadership abilities to manage a team of scientists and deep technical expertise in Statistical Mechanics and Computational Chemistry. Key Responsibilities Lead, manage, and mentor a team of scientists specializing in physics-based computational methods. Define and execute strategic initiatives to integrate physics-based models including our in-house state-of-the-art solvation free energy algorithm into the drug discovery workflow. Provide technical leadership in Statistical Mechanics, Molecular Dynamics, Free Energy Calculations, or Computational Chemistry. Collaborate closely with cross-functional teams, including AI researchers, medicinal chemists, and computational chemists, to align computational strategies with drug discovery objectives. Drive innovation by identifying and implementing emerging computational approaches to improve hit discovery and lead optimization. Ensure the team delivers high-quality scientific results on time, balancing research innovation with practical impact. Foster a collaborative and high-performing team culture, ensuring continuous growth and development of team members. Communicate scientific insights and strategic recommendations to senior leadership and key stakeholders. Qualifications PhD in Statistical Mechanics, Computational Chemistry, Biophysics, or a related field. Senior experience in computational drug discovery, with at least 3 years in a leadership role. Strong expertise in physics-based computational methods, such as Molecular Dynamics, Free Energy Perturbation (FEP), or Enhanced Sampling Techniques with an emphasis on solvation free energy methods (using density functional theory, PBSA, GBSA for instance). Proven ability to manage, mentor, and develop a team of scientists in a high-performance environment. Strong project management skills with the ability to prioritize tasks and drive results. Excellent communication skills to engage with interdisciplinary teams and senior stakeholders. Familiarity with commercial drug discovery suites (e.g. Schrödinger and OpenEye), open source molecular dynamics packages (OpenMM, AMBER, GROMACS, NAMD) and chemoinformatics tools (e.g. RDKit and OpenBabel). Nice to have: Experience in machine learning applications for physics-based modeling. Background in high-performance computing (HPC) and cloud-based simulations. Track record of scientific publications and contributions to the computational drug discovery community. Preferred Mindset Ability to set a technical vision for the team and align it with company objectives. Collaborative Leader: Thrives in an interdisciplinary environment and values teamwork. Pragmatic and Impact-Driven: Balances scientific rigor with real-world application. Growth-Oriented: Invests in the development of team members and fosters a culture of continuous learning. Passionate about pushing the boundaries of physics-based drug discovery. Aqemia's Recruitment team leads all recruitment activities for the company. We will not recognise any notional ownership recruitment companies claim over candidates presented directly to hiring managers without our Recruitment team's consent. Unsolicited resumes sent to us from recruiters do not constitute any type of relationship between the recruiter and Aqemia, and we will not be obligated to pay fees should we hire from those resumes. Why Join Us ? At AQEMIA, we work for a mission: joining us means having your own impact on changing the way drugs are discovered, and helping to shape thedirectionof our fast-growing company and team. Expanding Drug Discovery Pipeline : Focused on critical therapeutic areas like Oncology, CNS, Immuno-inflammation with in vivo proof of concept/patent stage programs. Collaborations with top Pharma, including a $140M Sanofi deal. Interdisciplinary Team: brilliant talent from tech and life sciences. DeepTech Recognition: Part of French Tech 120 and France 2030. Prime Location : Based in central Paris and London (King's Cross) with the possibility of 2 remote days per week. International Environment : The work language is English - relocation support and French lessons granted if needed. Strong Financial Backing : $100M raised from leading European and International investors
Aug 05, 2025
Full time
About AQEMIA AQEMIA is a next-gen pharmatech company generating one of the world's fastest-growing drug discovery pipeline. Our mission is to design fast innovative drug candidates for dozens of critical diseases, such as immuno-oncology. Our unique approach leverages quantum-inspired physics algorithms to power generative AI in designing novel drug candidates-without relying on experimental data. We already delivered several drug discovery successes within our internal pipeline and through collaborations with pharmaceutical companies. Our most advanced programs are currently in vivo optimization. Role Overview We are seeking a Senior Manager to lead our Physics Application Science Team. This team is responsible for integrating and optimising physics-based computational methods to enhance our drug discovery efforts. This role is critical in ensuring that physics-based computational methods effectively contribute to our hit discovery and lead optimisation strategies, ultimately accelerating the identification of novel drug candidates. The ideal candidate will have both strong leadership abilities to manage a team of scientists and deep technical expertise in Statistical Mechanics and Computational Chemistry. Key Responsibilities Lead, manage, and mentor a team of scientists specializing in physics-based computational methods. Define and execute strategic initiatives to integrate physics-based models including our in-house state-of-the-art solvation free energy algorithm into the drug discovery workflow. Provide technical leadership in Statistical Mechanics, Molecular Dynamics, Free Energy Calculations, or Computational Chemistry. Collaborate closely with cross-functional teams, including AI researchers, medicinal chemists, and computational chemists, to align computational strategies with drug discovery objectives. Drive innovation by identifying and implementing emerging computational approaches to improve hit discovery and lead optimization. Ensure the team delivers high-quality scientific results on time, balancing research innovation with practical impact. Foster a collaborative and high-performing team culture, ensuring continuous growth and development of team members. Communicate scientific insights and strategic recommendations to senior leadership and key stakeholders. Qualifications PhD in Statistical Mechanics, Computational Chemistry, Biophysics, or a related field. Senior experience in computational drug discovery, with at least 3 years in a leadership role. Strong expertise in physics-based computational methods, such as Molecular Dynamics, Free Energy Perturbation (FEP), or Enhanced Sampling Techniques with an emphasis on solvation free energy methods (using density functional theory, PBSA, GBSA for instance). Proven ability to manage, mentor, and develop a team of scientists in a high-performance environment. Strong project management skills with the ability to prioritize tasks and drive results. Excellent communication skills to engage with interdisciplinary teams and senior stakeholders. Familiarity with commercial drug discovery suites (e.g. Schrödinger and OpenEye), open source molecular dynamics packages (OpenMM, AMBER, GROMACS, NAMD) and chemoinformatics tools (e.g. RDKit and OpenBabel). Nice to have: Experience in machine learning applications for physics-based modeling. Background in high-performance computing (HPC) and cloud-based simulations. Track record of scientific publications and contributions to the computational drug discovery community. Preferred Mindset Ability to set a technical vision for the team and align it with company objectives. Collaborative Leader: Thrives in an interdisciplinary environment and values teamwork. Pragmatic and Impact-Driven: Balances scientific rigor with real-world application. Growth-Oriented: Invests in the development of team members and fosters a culture of continuous learning. Passionate about pushing the boundaries of physics-based drug discovery. Aqemia's Recruitment team leads all recruitment activities for the company. We will not recognise any notional ownership recruitment companies claim over candidates presented directly to hiring managers without our Recruitment team's consent. Unsolicited resumes sent to us from recruiters do not constitute any type of relationship between the recruiter and Aqemia, and we will not be obligated to pay fees should we hire from those resumes. Why Join Us ? At AQEMIA, we work for a mission: joining us means having your own impact on changing the way drugs are discovered, and helping to shape thedirectionof our fast-growing company and team. Expanding Drug Discovery Pipeline : Focused on critical therapeutic areas like Oncology, CNS, Immuno-inflammation with in vivo proof of concept/patent stage programs. Collaborations with top Pharma, including a $140M Sanofi deal. Interdisciplinary Team: brilliant talent from tech and life sciences. DeepTech Recognition: Part of French Tech 120 and France 2030. Prime Location : Based in central Paris and London (King's Cross) with the possibility of 2 remote days per week. International Environment : The work language is English - relocation support and French lessons granted if needed. Strong Financial Backing : $100M raised from leading European and International investors
A career without limits As the nation's flag carrier, we take great pride in connecting Britain with the world and the world with Britain. It's something we've been doing for over 100 years, ever since we launched the world's first international scheduled air service between London and Paris. This originality has been in our blood since day one. It's the spirit we share with the people that fly with us, our partners, and our colleagues. So, whether you are a reassuring voice on the end of a phone, a smile at the door, under a wing keeping the turbines spinning or landing us gently in far-flung places, a job at British Airways is yours to make. We know great things can happen when you're inspired to think big and bring your ambition to work every day, which is why, at British Airways the sky is never the limit. The role: Data Scientist / Senior Data Scientist Join British Airways as a Data Scientist in our cutting-edge Operations Decision Support (ODS) product team. This full-stack role sits at the heart of our transformation, combining data science, machine learning, and optimisation to build industrialised decision-support software. If you're passionate about solving real-world problems through intelligent, data-driven solutions and thrive in a collaborative, agile environment-this is your opportunity to make a real impact. What you'll do: Design and implement machine learning and optimisation models that power decision-support tools across British Airways operations. Collaborate with software engineering teams, product & change teams to turn their models into industrialized products that are used by the airline every day to make better decisions. Build robust data pipelines, automate data cleaning, and deliver scalable, production-grade Python code using best practices such as typing, testing, and modular design. Integrate models into orchestration frameworks (e.g. Dagster) and cloud-based deployment pipelines following CI/CD principles. Use analysis and visualisation to identify high-value opportunities, measure product adoption, and quantify business impact. Partner with stakeholders to embed data products into operational workflows, improving efficiency and enabling smarter decisions. Contribute to feature prioritisation, roadmap development, and team best practices in a highly agile, cross-functional environment. Communicate technical solutions clearly, framing trade-offs and insights for audiences at all levels. What you'll bring to British Airways: Strong knowledge of machine learning and optimisation techniques-including supervised/unsupervised learning and operations research (e.g. linear, mixed-integer programming, heuristics). Proficient in Python (required), with experience using libraries such as scikit-learn, pandas, numpy, and Gurobi. Other programming languages are a plus. Solid experience with SQL, data engineering, and cloud-based tools (AWS preferred), as well as version control (Git), experiment tracking (e.g. MLflow), and containerisation (e.g. Docker). Familiarity with CI/CD tools (e.g. GitHub Actions), model/data versioning (e.g. DVC), and orchestration frameworks (e.g. Airflow, Dagster). Skilled in testing (unit, integration, end-to-end), and visualising outcomes with tools like seaborn. Ability to translate complex business problems into data science solutions and effectively communicate technical concepts to varied audiences. Comfortable managing delivery timelines, balancing speed with long-term impact. Your experience: Master's degree in Data Science, Machine Learning, Operational Research or a related field, or 2+ years of relevant industry experience (required). 0-2 years working on production ML or optimisation software products at scale (required). Experience developing industrialised software products or working in relevant industries such as transportation, airlines, or logistics (preferred). Ready to bring the power of data to life and help shape the future of aviation operations? Apply now and be part of our journey at British Airways. What we offer: We believe that all the people who work with us should feel valued for the part they play. It's one of the reasons our rewards go far beyond a competitive salary. From the day you join us, you'll get access to brilliant staff travel benefits including unlimited basic and premium standby tickets on British Airways flights. You'll also receive up to 30 discounted 'Hotline' airfares per year for yourself, friends, and family. At British Airways you'll have the chance to take on new challenges and move forward in a way that feels right for you. We encourage all those who work for us to consider opportunities right across our business to help you develop and progress. We never stand still, and we don't expect our people to either. Inclusion & Diversity At British Airways we all have a part to play in creating an inclusive place to work. Diverse representation among our people is really important to us and we recognise that all our colleagues are uniquely different and bring their own originality, creativity and identity to work. Inclusion and diversity is a key driver of innovation and we're committed to creating a culture where everyone feels that they can be themselves. We're looking for people from all backgrounds and cultures to join us and be a part of our journey to become a Better BA as we continue to connect Britain with the world and the world with Britain.
Aug 05, 2025
Full time
A career without limits As the nation's flag carrier, we take great pride in connecting Britain with the world and the world with Britain. It's something we've been doing for over 100 years, ever since we launched the world's first international scheduled air service between London and Paris. This originality has been in our blood since day one. It's the spirit we share with the people that fly with us, our partners, and our colleagues. So, whether you are a reassuring voice on the end of a phone, a smile at the door, under a wing keeping the turbines spinning or landing us gently in far-flung places, a job at British Airways is yours to make. We know great things can happen when you're inspired to think big and bring your ambition to work every day, which is why, at British Airways the sky is never the limit. The role: Data Scientist / Senior Data Scientist Join British Airways as a Data Scientist in our cutting-edge Operations Decision Support (ODS) product team. This full-stack role sits at the heart of our transformation, combining data science, machine learning, and optimisation to build industrialised decision-support software. If you're passionate about solving real-world problems through intelligent, data-driven solutions and thrive in a collaborative, agile environment-this is your opportunity to make a real impact. What you'll do: Design and implement machine learning and optimisation models that power decision-support tools across British Airways operations. Collaborate with software engineering teams, product & change teams to turn their models into industrialized products that are used by the airline every day to make better decisions. Build robust data pipelines, automate data cleaning, and deliver scalable, production-grade Python code using best practices such as typing, testing, and modular design. Integrate models into orchestration frameworks (e.g. Dagster) and cloud-based deployment pipelines following CI/CD principles. Use analysis and visualisation to identify high-value opportunities, measure product adoption, and quantify business impact. Partner with stakeholders to embed data products into operational workflows, improving efficiency and enabling smarter decisions. Contribute to feature prioritisation, roadmap development, and team best practices in a highly agile, cross-functional environment. Communicate technical solutions clearly, framing trade-offs and insights for audiences at all levels. What you'll bring to British Airways: Strong knowledge of machine learning and optimisation techniques-including supervised/unsupervised learning and operations research (e.g. linear, mixed-integer programming, heuristics). Proficient in Python (required), with experience using libraries such as scikit-learn, pandas, numpy, and Gurobi. Other programming languages are a plus. Solid experience with SQL, data engineering, and cloud-based tools (AWS preferred), as well as version control (Git), experiment tracking (e.g. MLflow), and containerisation (e.g. Docker). Familiarity with CI/CD tools (e.g. GitHub Actions), model/data versioning (e.g. DVC), and orchestration frameworks (e.g. Airflow, Dagster). Skilled in testing (unit, integration, end-to-end), and visualising outcomes with tools like seaborn. Ability to translate complex business problems into data science solutions and effectively communicate technical concepts to varied audiences. Comfortable managing delivery timelines, balancing speed with long-term impact. Your experience: Master's degree in Data Science, Machine Learning, Operational Research or a related field, or 2+ years of relevant industry experience (required). 0-2 years working on production ML or optimisation software products at scale (required). Experience developing industrialised software products or working in relevant industries such as transportation, airlines, or logistics (preferred). Ready to bring the power of data to life and help shape the future of aviation operations? Apply now and be part of our journey at British Airways. What we offer: We believe that all the people who work with us should feel valued for the part they play. It's one of the reasons our rewards go far beyond a competitive salary. From the day you join us, you'll get access to brilliant staff travel benefits including unlimited basic and premium standby tickets on British Airways flights. You'll also receive up to 30 discounted 'Hotline' airfares per year for yourself, friends, and family. At British Airways you'll have the chance to take on new challenges and move forward in a way that feels right for you. We encourage all those who work for us to consider opportunities right across our business to help you develop and progress. We never stand still, and we don't expect our people to either. Inclusion & Diversity At British Airways we all have a part to play in creating an inclusive place to work. Diverse representation among our people is really important to us and we recognise that all our colleagues are uniquely different and bring their own originality, creativity and identity to work. Inclusion and diversity is a key driver of innovation and we're committed to creating a culture where everyone feels that they can be themselves. We're looking for people from all backgrounds and cultures to join us and be a part of our journey to become a Better BA as we continue to connect Britain with the world and the world with Britain.
We are seeking a Senior Economist to accelerate Amazon Japan's customer growth and engagement. In this exciting charter, you will use economic principles and econometrics to foster and drive innovations for some of Amazon's flagship programs, including Prime, Amazon Points, and Deal Events (e.g., Prime Day). Amazon has a trailblazing track record of working with Ph.D. economists in the tech industry and offers a unique environment for economists to thrive. As an economist at Amazon, you will apply the frontier of econometric and economic methods to Amazon's terabytes of data and intriguing customer problems. Your expertise in building reduced-form or structural causal inference models is exemplary in Amazon. Your strategic thinking in designing mechanisms and products influences how Amazon evolves. In this role, you will work with a diverse team of product and science talents to identify business opportunities and build best-in-class econometric models to address them. You will work with engineering teams to productionize your models and improve the experiences of our customers and associates. You will own, execute, and expand a research roadmap that contributes to Amazon's long term success. As one of the first economists outside North America/EU, you will make an outsized impact to our international marketplaces and pioneer in expanding Amazon's economist community in Asia. The ideal candidate will be an experienced economist in empirical industrial organization, labour economics, or related structural/reduced-form causal inference fields. You are a self-starter who enjoys ambiguity in a fast-paced and earns trust from stakeholders in an ever-changing environment. You think big on the next game-changing opportunity but also dive deep into every detail that matters. You insist on the highest standards and are consistent in delivering results. Key job responsibilities - Work with Product, Finance, Data Science, and Engineering teams across the globe to deliver data-driven insights and products for regional and world-wide launches. - Use economic insights to guide business to make the right strategic decisions. - Innovate on how Amazon can leverage data analytics to improve customer growth and engagement. - Contribute to building a strong data science community in Amazon Asia. BASIC QUALIFICATIONS - Ph.D. degree in Economics, Quantitative Marketing, Information Systems, or Operations Research. - 4+ years in post-doctoral work experience. PREFERRED QUALIFICATIONS - Expert knowledge and proven track record in empirical industrial organization and/or reduced-form causal inference. - Experience in data analytics in a B2C industry (e.g., consumer/retail/retail financial services/telecoms/media). - Experience with big data tools such as Scala, PySpark, AWS products. - Experience with machine learning models and their applications in the Tech industry. - Publications in world renowned scientific journals. - Excellent in using non-technical yet precise languages, verbally and in writing, to communicate complex analytical subjects with business stakeholders. 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.
Aug 05, 2025
Full time
We are seeking a Senior Economist to accelerate Amazon Japan's customer growth and engagement. In this exciting charter, you will use economic principles and econometrics to foster and drive innovations for some of Amazon's flagship programs, including Prime, Amazon Points, and Deal Events (e.g., Prime Day). Amazon has a trailblazing track record of working with Ph.D. economists in the tech industry and offers a unique environment for economists to thrive. As an economist at Amazon, you will apply the frontier of econometric and economic methods to Amazon's terabytes of data and intriguing customer problems. Your expertise in building reduced-form or structural causal inference models is exemplary in Amazon. Your strategic thinking in designing mechanisms and products influences how Amazon evolves. In this role, you will work with a diverse team of product and science talents to identify business opportunities and build best-in-class econometric models to address them. You will work with engineering teams to productionize your models and improve the experiences of our customers and associates. You will own, execute, and expand a research roadmap that contributes to Amazon's long term success. As one of the first economists outside North America/EU, you will make an outsized impact to our international marketplaces and pioneer in expanding Amazon's economist community in Asia. The ideal candidate will be an experienced economist in empirical industrial organization, labour economics, or related structural/reduced-form causal inference fields. You are a self-starter who enjoys ambiguity in a fast-paced and earns trust from stakeholders in an ever-changing environment. You think big on the next game-changing opportunity but also dive deep into every detail that matters. You insist on the highest standards and are consistent in delivering results. Key job responsibilities - Work with Product, Finance, Data Science, and Engineering teams across the globe to deliver data-driven insights and products for regional and world-wide launches. - Use economic insights to guide business to make the right strategic decisions. - Innovate on how Amazon can leverage data analytics to improve customer growth and engagement. - Contribute to building a strong data science community in Amazon Asia. BASIC QUALIFICATIONS - Ph.D. degree in Economics, Quantitative Marketing, Information Systems, or Operations Research. - 4+ years in post-doctoral work experience. PREFERRED QUALIFICATIONS - Expert knowledge and proven track record in empirical industrial organization and/or reduced-form causal inference. - Experience in data analytics in a B2C industry (e.g., consumer/retail/retail financial services/telecoms/media). - Experience with big data tools such as Scala, PySpark, AWS products. - Experience with machine learning models and their applications in the Tech industry. - Publications in world renowned scientific journals. - Excellent in using non-technical yet precise languages, verbally and in writing, to communicate complex analytical subjects with business stakeholders. 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.
