The Opportunity This is your chance to build the foundational systems for 'Citi Assist', a Generative AI assistant that will reach every Citi employee globally. You'll join us on the ground floor, becoming a core builder on a high-visibility platform that sets the standard for how a global bank adopts this technology safely and at scale. As a polyglot engineer, you'll work across the full stack. That means crafting intuitive user interfaces one day and building robust backend APIs the next. You'll be equally excited about both. What You'll Do Build and deliver across the stack. This is a hands on role where you'll write high-quality, tested code and move features from idea to production. Sometimes that's a user-facing component. Sometimes it's a backend API. Often it's both. Own your features end to end. You'll take responsibility from the UI to the database. That means figuring out the path forward, asking the right questions, and driving your work to completion with support from the team. Build with security in mind. For us, building safe, sound, and compliant systems is non negotiable and part of our craft. You'll implement security best practices in everything you build, including navigating the emerging challenges of AI safety. Be a great teammate. We expect you to be an active participant in our engineering culture. That means offering and receiving constructive code reviews, helping your peers when they're blocked, and sharing what you learn. We succeed as a team. Communicate proactively. We value open communication about progress and blockers. This helps us support each other effectively and keeps the whole team aligned. No one should have to chase you for updates. What We're Looking For We know that people from underrepresented groups are less likely to apply if they don't meet 100% of the criteria. If you're excited about this role but your experience doesn't align perfectly with every qualification, we encourage you to apply anyway. You may be just the right candidate for this or other roles. You should have Experience building and deploying production applications, whether that's frontend, backend, or both Proficiency in at least two of these languages: Python, TypeScript/JavaScript, Go, or Java Experience building user-facing features with modern frontend frameworks like React, Vue, or Angular Experience building backend services and APIs that are reliable and maintainable Comfort with containerised environments (we use OpenShift, but Kubernetes or Docker experience transfers well) Practical experience with CI/CD pipelines and a belief in automating things Solid experience working with relational databases like Postgres or MySQL What matters most to us A solutions-first mindset. You find the best path to solve the problem, whether that's writing new code, improving an old system, or integrating the right tool. The outcome is what matters. A bias for action and a focus on shipping. You understand our goal is to deliver value to users, not just to write perfect code. You know when to be pragmatic and when to invest in technical excellence. Clear communication and collaboration. You're proactive about sharing your progress and asking for help when you need it. You understand that keeping the team aligned helps everyone succeed. A collaborative spirit. You find satisfaction in building high-quality software and you thrive in a team environment where you can learn from and help your peers. A security-conscious approach. You see security and safety as part of the job, not an afterthought. Bonus points for Direct experience with Generative AI concepts, LLMs, or related personal or professional projects Contributions to open-source projects or a portfolio that demonstrates your range Experience working in highly regulated environments Our Tech Stack We work with Python, TypeScript, Go, and Java on the backend. Our frontend is built with TypeScript, React, and Next.js. We use Postgres for our database, run everything on Kubernetes (specifically Red Hat OpenShift), and our DevOps setup includes GitHub and CI/CD tools like Tekton and Harness. Our Team and Mission We're the Common Platform Engineering team for GenAI, a central group in the Chief Technology Office. We're a focused agile team that owns our work from idea to production. Our culture is built on a shared belief in engineering craftsmanship, backed by leadership that actually understands what that means. We're on a journey to prove what's possible inside a large organisation, and that means navigating some legacy while building the future. This isn't a role for someone who wants everything to be perfect on day one. It's for an engineer who wants to be part of the team that gets us there. We have a dual mission. First, we're building 'Citi Assist', the GenAI digital assistant for our colleagues. Second, we're providing the platforms and guidance that enable the entire organisation to adopt GenAI safely and effectively. This is not a typical banking job. We'll build foundational technology together that has a direct, positive impact on hundreds of thousands of people. We'll tackle big problems as a team, with executive support behind us. We'll shape our solutions collaboratively, learning from each other along the way. You'll have real autonomy in your work, but you'll never be on your own. What we'll provide you This is a unique role that will put you in the position to be part of a new venture and actively drive change. Every day there will be new challenges that will help you develop new skills that can drive your career. By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretional annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Visit our Global Benefits page to learn more. Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive. Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.
25/05/2026
Full time
The Opportunity This is your chance to build the foundational systems for 'Citi Assist', a Generative AI assistant that will reach every Citi employee globally. You'll join us on the ground floor, becoming a core builder on a high-visibility platform that sets the standard for how a global bank adopts this technology safely and at scale. As a polyglot engineer, you'll work across the full stack. That means crafting intuitive user interfaces one day and building robust backend APIs the next. You'll be equally excited about both. What You'll Do Build and deliver across the stack. This is a hands on role where you'll write high-quality, tested code and move features from idea to production. Sometimes that's a user-facing component. Sometimes it's a backend API. Often it's both. Own your features end to end. You'll take responsibility from the UI to the database. That means figuring out the path forward, asking the right questions, and driving your work to completion with support from the team. Build with security in mind. For us, building safe, sound, and compliant systems is non negotiable and part of our craft. You'll implement security best practices in everything you build, including navigating the emerging challenges of AI safety. Be a great teammate. We expect you to be an active participant in our engineering culture. That means offering and receiving constructive code reviews, helping your peers when they're blocked, and sharing what you learn. We succeed as a team. Communicate proactively. We value open communication about progress and blockers. This helps us support each other effectively and keeps the whole team aligned. No one should have to chase you for updates. What We're Looking For We know that people from underrepresented groups are less likely to apply if they don't meet 100% of the criteria. If you're excited about this role but your experience doesn't align perfectly with every qualification, we encourage you to apply anyway. You may be just the right candidate for this or other roles. You should have Experience building and deploying production applications, whether that's frontend, backend, or both Proficiency in at least two of these languages: Python, TypeScript/JavaScript, Go, or Java Experience building user-facing features with modern frontend frameworks like React, Vue, or Angular Experience building backend services and APIs that are reliable and maintainable Comfort with containerised environments (we use OpenShift, but Kubernetes or Docker experience transfers well) Practical experience with CI/CD pipelines and a belief in automating things Solid experience working with relational databases like Postgres or MySQL What matters most to us A solutions-first mindset. You find the best path to solve the problem, whether that's writing new code, improving an old system, or integrating the right tool. The outcome is what matters. A bias for action and a focus on shipping. You understand our goal is to deliver value to users, not just to write perfect code. You know when to be pragmatic and when to invest in technical excellence. Clear communication and collaboration. You're proactive about sharing your progress and asking for help when you need it. You understand that keeping the team aligned helps everyone succeed. A collaborative spirit. You find satisfaction in building high-quality software and you thrive in a team environment where you can learn from and help your peers. A security-conscious approach. You see security and safety as part of the job, not an afterthought. Bonus points for Direct experience with Generative AI concepts, LLMs, or related personal or professional projects Contributions to open-source projects or a portfolio that demonstrates your range Experience working in highly regulated environments Our Tech Stack We work with Python, TypeScript, Go, and Java on the backend. Our frontend is built with TypeScript, React, and Next.js. We use Postgres for our database, run everything on Kubernetes (specifically Red Hat OpenShift), and our DevOps setup includes GitHub and CI/CD tools like Tekton and Harness. Our Team and Mission We're the Common Platform Engineering team for GenAI, a central group in the Chief Technology Office. We're a focused agile team that owns our work from idea to production. Our culture is built on a shared belief in engineering craftsmanship, backed by leadership that actually understands what that means. We're on a journey to prove what's possible inside a large organisation, and that means navigating some legacy while building the future. This isn't a role for someone who wants everything to be perfect on day one. It's for an engineer who wants to be part of the team that gets us there. We have a dual mission. First, we're building 'Citi Assist', the GenAI digital assistant for our colleagues. Second, we're providing the platforms and guidance that enable the entire organisation to adopt GenAI safely and effectively. This is not a typical banking job. We'll build foundational technology together that has a direct, positive impact on hundreds of thousands of people. We'll tackle big problems as a team, with executive support behind us. We'll shape our solutions collaboratively, learning from each other along the way. You'll have real autonomy in your work, but you'll never be on your own. What we'll provide you This is a unique role that will put you in the position to be part of a new venture and actively drive change. Every day there will be new challenges that will help you develop new skills that can drive your career. By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretional annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Visit our Global Benefits page to learn more. Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive. Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.
Selection changes the language of the page/content Staff/Sr. Software Developer - Java - Messaging Orchestration for Apple iCloud, Apple Music London, England, United Kingdom Software and Services The role is in Apple Services Engineering (ASE) in London. ASE is the team behind high-profile services such as Apple iCloud, Apple Music, Apple TV, Apple Arcade and more. We are seeking an accomplished senior software engineer to architect and build the software for our customer engagement platform, powering message orchestration across Apple Services at global scale.The people here at Apple don't just build products - they build the kind of wonder that's revolutionised entire industries. It's the diversity of those people and their ideas that encourages the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. Description The ASE Customer Engagement engineering team is responsible for building the platform that enables communicating with millions of customers every day, across services such as Apple iCloud, Apple Music, Apple TV, Apple Arcade, Apple News+, Apple Fitness+, Apple Wallet and more.In this team, you will be responsible for designing, building, improving and maintaining server-side applications that process requests at phenomenal scale, with low latency and high availability. These applications transform and optimise self-service configurations (including campaigns and signals) maintained by operations teams using tooling for runtime execution. At runtime, they orchestrate customer messaging to millions of users with sophisticated targeting, personalisation and A/B testing across Apple Services. Responsibilities Working with our Product and Design teams defining what we're building, investigating technical feasibility, breaking down the work and leading its delivery Championing the adoption of new technologies and best engineering practices, including effective and responsible use of GenAI and agents Working with our QA and SRE teams to establish reliability and quality goals Anticipating, architecting and coding to cater for our highly-distributed mass-scale Apple ecosystem Frequently collaborating with multiple partner engineering teams and consumers of our platform Representing our team in meetings and driving consensus across participants Creating reusability across our features and our engineering stack e.g. utilising standard libraries and contributing to their development Creating technical design documents and driving consensus across stakeholders Identifying and implementing opportunities to leverage AI/ML capabilities in our customer engagement platform to improve personalisation and messaging effectiveness Minimum Qualifications Undergraduate degree related to computing or equivalent professional experience Strong Java programming expertise is required Experience designing and building loosely coupled and eventually consistent distributed systems History of driving the architecture and adoption of reusable platform capabilities and shared services used by multiple teams Proven experience designing and building production-grade APIs using microservices written in Java Communicating effectively, both written and verbal, with technical and non-technical cross-functional teams Preferred Qualifications Demonstrated experience integrating AI agents into software development workflows to improve code quality, facilitate debugging, enhance code reviews, and maintain comprehensive documentation Expert at writing clean, high-performance, and maintainable code in Java Proficient at using test-driven development to empower CI/CD workflows Strong knowledge of data structures, concurrency patterns, and software design principles Track record of technically leading software development projects across multiple teams Experience making critical architectural decisions that have long-term impact on product success, scalability and reliability Background working with high-scale, low-latency distributed systems serving millions of users At Apple, we're not all the same. And that's our greatest strength. We draw on the differences in who we are, what we've experienced and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. As a registered Disability Confident employer, we will work with applicants to make any reasonable accommodations. Apple will consider for employment all qualified applicants with criminal backgrounds in a manner consistent with applicable law. Learn more
25/05/2026
Full time
Selection changes the language of the page/content Staff/Sr. Software Developer - Java - Messaging Orchestration for Apple iCloud, Apple Music London, England, United Kingdom Software and Services The role is in Apple Services Engineering (ASE) in London. ASE is the team behind high-profile services such as Apple iCloud, Apple Music, Apple TV, Apple Arcade and more. We are seeking an accomplished senior software engineer to architect and build the software for our customer engagement platform, powering message orchestration across Apple Services at global scale.The people here at Apple don't just build products - they build the kind of wonder that's revolutionised entire industries. It's the diversity of those people and their ideas that encourages the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. Description The ASE Customer Engagement engineering team is responsible for building the platform that enables communicating with millions of customers every day, across services such as Apple iCloud, Apple Music, Apple TV, Apple Arcade, Apple News+, Apple Fitness+, Apple Wallet and more.In this team, you will be responsible for designing, building, improving and maintaining server-side applications that process requests at phenomenal scale, with low latency and high availability. These applications transform and optimise self-service configurations (including campaigns and signals) maintained by operations teams using tooling for runtime execution. At runtime, they orchestrate customer messaging to millions of users with sophisticated targeting, personalisation and A/B testing across Apple Services. Responsibilities Working with our Product and Design teams defining what we're building, investigating technical feasibility, breaking down the work and leading its delivery Championing the adoption of new technologies and best engineering practices, including effective and responsible use of GenAI and agents Working with our QA and SRE teams to establish reliability and quality goals Anticipating, architecting and coding to cater for our highly-distributed mass-scale Apple ecosystem Frequently collaborating with multiple partner engineering teams and consumers of our platform Representing our team in meetings and driving consensus across participants Creating reusability across our features and our engineering stack e.g. utilising standard libraries and contributing to their development Creating technical design documents and driving consensus across stakeholders Identifying and implementing opportunities to leverage AI/ML capabilities in our customer engagement platform to improve personalisation and messaging effectiveness Minimum Qualifications Undergraduate degree related to computing or equivalent professional experience Strong Java programming expertise is required Experience designing and building loosely coupled and eventually consistent distributed systems History of driving the architecture and adoption of reusable platform capabilities and shared services used by multiple teams Proven experience designing and building production-grade APIs using microservices written in Java Communicating effectively, both written and verbal, with technical and non-technical cross-functional teams Preferred Qualifications Demonstrated experience integrating AI agents into software development workflows to improve code quality, facilitate debugging, enhance code reviews, and maintain comprehensive documentation Expert at writing clean, high-performance, and maintainable code in Java Proficient at using test-driven development to empower CI/CD workflows Strong knowledge of data structures, concurrency patterns, and software design principles Track record of technically leading software development projects across multiple teams Experience making critical architectural decisions that have long-term impact on product success, scalability and reliability Background working with high-scale, low-latency distributed systems serving millions of users At Apple, we're not all the same. And that's our greatest strength. We draw on the differences in who we are, what we've experienced and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. As a registered Disability Confident employer, we will work with applicants to make any reasonable accommodations. Apple will consider for employment all qualified applicants with criminal backgrounds in a manner consistent with applicable law. Learn more
Amazon is seeking a Software Development Engineer II to build GenAI-powered infrastructure and collaborate with cross-disciplinary teams to innovate products for Prime experiences. You will work in an agile environment, driving the development of robust, scalable systems that enhance customer engagement. The ideal candidate has extensive experience in the full software development life cycle, including proficiency in modern programming languages like Java, C++, or C#. Candidates should be passionate about solving complex problems and creating new products that influence millions. Amazon offers a comprehensive benefits package, including health insurance and retirement plans.
25/05/2026
Full time
Amazon is seeking a Software Development Engineer II to build GenAI-powered infrastructure and collaborate with cross-disciplinary teams to innovate products for Prime experiences. You will work in an agile environment, driving the development of robust, scalable systems that enhance customer engagement. The ideal candidate has extensive experience in the full software development life cycle, including proficiency in modern programming languages like Java, C++, or C#. Candidates should be passionate about solving complex problems and creating new products that influence millions. Amazon offers a comprehensive benefits package, including health insurance and retirement plans.
About the Role We're seeking a versatile Principal Data Engineer who can work across the full stack of Anaplan AI applications, from model integration, prompt engineering and set the technical direction for how we ingest, transform, store, serve, and govern the data that powers our LLM-based and agentic systems. You'll build AI features that can be used in real-time. This will help business users use GenAI in their planning workflows. You'll need both deep knowledge of machine learning and strong data engineering skills. Your Impact Design and build the retrieval layer powering RAG and agentic workloads-including vector and graph databases, hybrid search, and architecting knowledge graphs that capture the semantics of customer models. Develop end-to-end GenAI features including backend API services, model integration, model monitoring, evaluations and deployments Engineer feature and context pipelines balancing batch and streaming patterns to feed forecasting and anomaly detection models, collaborating closely with data scientists to productionise algorithms. Build the data plane for evaluation , implementing rigorous frameworks to continuously monitor, measure, and improve GenAI feature quality, accuracy, latency, and user satisfaction. , Collaborate with data scientists to productionise ML models and forecasting algorithms Your Skills Extensive background in Data Science Engineering, with a clear track record of principal level technical leadership. Hands on experience building and shipping AI/ML products in production Deep practical experience with LLM based systems: RAG architectures, embedding pipelines, prompt and response logging, evaluation frameworks. Hands on expertise with vector databases, graph databases, and knowledge graphs End to end exposure in model lifecycle development, including extensive experience training and deploying ML models in production environments. Deep knowledge of LLM APIs, prompt engineering, and conversational AI patterns. Proficiency in Python and modern software development practices (testing, code review, CI/CD). Preferred Skills Hands on experience with cloud native ML infrastructure platforms Knowledge of vector databases (Pinecone, Weaviate, Qdrant) and embedding models Experience with model serving frameworks (vLLM, TensorRT, Ray) Familiarity with Anaplan or similar enterprise planning platforms Experience with A/B testing and experimentation frameworks for AI features Experience with model observability tools (LangSmith, W&B, MLflow) Our Commitment to Diversity, Equity, Inclusionand Belonging (DEIB) We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren't just words on paper - this is what drives our innovation, it's how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.
25/05/2026
Full time
About the Role We're seeking a versatile Principal Data Engineer who can work across the full stack of Anaplan AI applications, from model integration, prompt engineering and set the technical direction for how we ingest, transform, store, serve, and govern the data that powers our LLM-based and agentic systems. You'll build AI features that can be used in real-time. This will help business users use GenAI in their planning workflows. You'll need both deep knowledge of machine learning and strong data engineering skills. Your Impact Design and build the retrieval layer powering RAG and agentic workloads-including vector and graph databases, hybrid search, and architecting knowledge graphs that capture the semantics of customer models. Develop end-to-end GenAI features including backend API services, model integration, model monitoring, evaluations and deployments Engineer feature and context pipelines balancing batch and streaming patterns to feed forecasting and anomaly detection models, collaborating closely with data scientists to productionise algorithms. Build the data plane for evaluation , implementing rigorous frameworks to continuously monitor, measure, and improve GenAI feature quality, accuracy, latency, and user satisfaction. , Collaborate with data scientists to productionise ML models and forecasting algorithms Your Skills Extensive background in Data Science Engineering, with a clear track record of principal level technical leadership. Hands on experience building and shipping AI/ML products in production Deep practical experience with LLM based systems: RAG architectures, embedding pipelines, prompt and response logging, evaluation frameworks. Hands on expertise with vector databases, graph databases, and knowledge graphs End to end exposure in model lifecycle development, including extensive experience training and deploying ML models in production environments. Deep knowledge of LLM APIs, prompt engineering, and conversational AI patterns. Proficiency in Python and modern software development practices (testing, code review, CI/CD). Preferred Skills Hands on experience with cloud native ML infrastructure platforms Knowledge of vector databases (Pinecone, Weaviate, Qdrant) and embedding models Experience with model serving frameworks (vLLM, TensorRT, Ray) Familiarity with Anaplan or similar enterprise planning platforms Experience with A/B testing and experimentation frameworks for AI features Experience with model observability tools (LangSmith, W&B, MLflow) Our Commitment to Diversity, Equity, Inclusionand Belonging (DEIB) We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren't just words on paper - this is what drives our innovation, it's how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.
Job ID: AWS EMEA SARL (UK Branch) We are looking for a GenAI/ML Specialist Solutions Architect to drive adoption of AWS Generative AI and Machine Learning services for large enterprise customers in the UK. The role involves designing, advising, and leading AI/ML solutions that meet business objectives and balance innovation, compliance, and practical constraints. Responsibilities Provide deep technical expertise in Generative AI and Machine Learning technologies, designing innovative solutions that help customers meet strategic business objectives using AWS products. Act as a trusted advisor to line of business, AI, Data, and C-suite leaders, translating complex technical concepts into business value and guiding their AI transformation journey. Lead architectural reviews, workshops, and proof-of-concepts to advance customers' technical objectives and validate proposed solutions. Share best practices through AWS blogs, whitepapers, reference architectures, and help educate the broader technical community. Gather customer insights to inform AWS product teams about market needs and opportunities, contributing to evolution of AWS GenAI/ML services based on real-world implementation experience. Serve as a thought leader in the Generative AI space, representing AWS at industry events and conferences such as AWS Summit and re:Invent. Basic Qualifications Cloud Technology Certification (such as Solutions Architecture, Cloud Security Professional or Cloud DevOps Engineering). Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients. Bachelor's degree. 6+ years design/implementation/consulting experience for specific technology domain areas like software development, cloud computing, systems engineering, infrastructure, security, data & analytics. 4+ years management of technical, customer-facing resources. 4+ years of experience in a Data & AI related field. 4+ years of experience in design/implementation/consulting for Machine Learning/AI/Deep Learning solutions, using one or more Deep Learning frameworks such as TensorFlow and PyTorch. 4+ years professional experience in software development in languages related to ML like Python or Java, and experience working with RESTful API and general service-oriented architecture. Preferred Qualifications AWS ML Specialty certification. 5+ years of AWS infrastructure architecture, security, database architecture and networking experience. Experience working with end user or developer communities. Knowledge of software development tools and methodologies. Cloud Technology Certification such as AWS Certified Solutions Architect Professional, Data Engineer, or Cloud DevOps Engineering Professional. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
25/05/2026
Full time
Job ID: AWS EMEA SARL (UK Branch) We are looking for a GenAI/ML Specialist Solutions Architect to drive adoption of AWS Generative AI and Machine Learning services for large enterprise customers in the UK. The role involves designing, advising, and leading AI/ML solutions that meet business objectives and balance innovation, compliance, and practical constraints. Responsibilities Provide deep technical expertise in Generative AI and Machine Learning technologies, designing innovative solutions that help customers meet strategic business objectives using AWS products. Act as a trusted advisor to line of business, AI, Data, and C-suite leaders, translating complex technical concepts into business value and guiding their AI transformation journey. Lead architectural reviews, workshops, and proof-of-concepts to advance customers' technical objectives and validate proposed solutions. Share best practices through AWS blogs, whitepapers, reference architectures, and help educate the broader technical community. Gather customer insights to inform AWS product teams about market needs and opportunities, contributing to evolution of AWS GenAI/ML services based on real-world implementation experience. Serve as a thought leader in the Generative AI space, representing AWS at industry events and conferences such as AWS Summit and re:Invent. Basic Qualifications Cloud Technology Certification (such as Solutions Architecture, Cloud Security Professional or Cloud DevOps Engineering). Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients. Bachelor's degree. 6+ years design/implementation/consulting experience for specific technology domain areas like software development, cloud computing, systems engineering, infrastructure, security, data & analytics. 4+ years management of technical, customer-facing resources. 4+ years of experience in a Data & AI related field. 4+ years of experience in design/implementation/consulting for Machine Learning/AI/Deep Learning solutions, using one or more Deep Learning frameworks such as TensorFlow and PyTorch. 4+ years professional experience in software development in languages related to ML like Python or Java, and experience working with RESTful API and general service-oriented architecture. Preferred Qualifications AWS ML Specialty certification. 5+ years of AWS infrastructure architecture, security, database architecture and networking experience. Experience working with end user or developer communities. Knowledge of software development tools and methodologies. Cloud Technology Certification such as AWS Certified Solutions Architect Professional, Data Engineer, or Cloud DevOps Engineering Professional. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Senior GenAI Engineer We're seeking a versatile engineer who can work across the full stack of GenAI applications, from model integration and prompt engineering to building intuitive user interfaces. You'll build production ready AI features that empower business users to leverage GenAI within their planning workflows, requiring deep ML knowledge and strong software engineering skills. Your Impact Develop end to end GenAI features, including backend API services, model integration, model monitoring, evaluations, and deployments Integrate and optimize LLMs for specific use cases in business planning, including prompt engineering and RAG implementation Build conversational interfaces and agentic workflows that make complex planning tasks accessible through natural language Implement evaluation frameworks to measure and improve GenAI feature quality, including accuracy, latency, and user satisfaction metrics Design and develop APIs that expose AI capabilities to Anaplan's platform and third party integrations Optimize model inference pipelines for performance, cost, and scalability in production environments Implement monitoring, logging, and observability for GenAI systems to track usage, errors, and model behaviour Collaborate with data scientists to productionize ML models and forecasting algorithms Write comprehensive tests, including unit tests, integration tests, and prompt regression suites Participate in code reviews, technical design discussions, and knowledge sharing sessions Stay current with GenAI research and tools, evaluating new models and techniques for potential adoption Your Qualifications Software engineering experience with a focus on ML/AI systems Strong programming skills in Python, including experience with ML frameworks (PyTorch, TensorFlow, Transformers) Experience building and deploying LLM powered applications in production Proficiency in front end development with React, TypeScript, and modern web technologies Understanding of RESTful API design, microservices architecture, and cloud infrastructure Experience with prompt engineering, RAG systems Strong foundation in ML fundamentals, including NLP, time series analysis, or recommender systems Familiarity with containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines Excellent problem solving skills and attention to detail Bachelor's degree in computer science, Machine Learning, or related field Preferred Qualifications Experience with GenAI frameworks (LangChain, LlamaIndex, Haystack, or similar) Knowledge of vector databases (Pinecone, Weaviate, Qdrant) and embedding models Experience with model serving frameworks (vLLM, TensorRT, Ray) Background in forecasting, planning, or analytics applications Familiarity with Anaplan or similar enterprise planning platforms Experience with A/B testing and experimentation frameworks for AI features Contributions to open source ML projects or research publications Experience with model observability tools (LangSmith, W&B, MLflow) What Makes This Role Exciting Lead a greenfield team building transformative AI capabilities from the ground up Work on cutting edge conversational and agentic AI technologies Build user facing AI features that directly impact how businesses plan and make decisions Experiment with the latest GenAI models and techniques Collaborate with talented engineers, data scientists, and product designers Solve unique challenges at the intersection of AI and enterprise software Grow your skills in both ML engineering and full stack development Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB) We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren't just words on paper - this is what drives our innovation, it's how we connect, and it contributes to what makes us a market leader. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.
25/05/2026
Full time
Senior GenAI Engineer We're seeking a versatile engineer who can work across the full stack of GenAI applications, from model integration and prompt engineering to building intuitive user interfaces. You'll build production ready AI features that empower business users to leverage GenAI within their planning workflows, requiring deep ML knowledge and strong software engineering skills. Your Impact Develop end to end GenAI features, including backend API services, model integration, model monitoring, evaluations, and deployments Integrate and optimize LLMs for specific use cases in business planning, including prompt engineering and RAG implementation Build conversational interfaces and agentic workflows that make complex planning tasks accessible through natural language Implement evaluation frameworks to measure and improve GenAI feature quality, including accuracy, latency, and user satisfaction metrics Design and develop APIs that expose AI capabilities to Anaplan's platform and third party integrations Optimize model inference pipelines for performance, cost, and scalability in production environments Implement monitoring, logging, and observability for GenAI systems to track usage, errors, and model behaviour Collaborate with data scientists to productionize ML models and forecasting algorithms Write comprehensive tests, including unit tests, integration tests, and prompt regression suites Participate in code reviews, technical design discussions, and knowledge sharing sessions Stay current with GenAI research and tools, evaluating new models and techniques for potential adoption Your Qualifications Software engineering experience with a focus on ML/AI systems Strong programming skills in Python, including experience with ML frameworks (PyTorch, TensorFlow, Transformers) Experience building and deploying LLM powered applications in production Proficiency in front end development with React, TypeScript, and modern web technologies Understanding of RESTful API design, microservices architecture, and cloud infrastructure Experience with prompt engineering, RAG systems Strong foundation in ML fundamentals, including NLP, time series analysis, or recommender systems Familiarity with containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines Excellent problem solving skills and attention to detail Bachelor's degree in computer science, Machine Learning, or related field Preferred Qualifications Experience with GenAI frameworks (LangChain, LlamaIndex, Haystack, or similar) Knowledge of vector databases (Pinecone, Weaviate, Qdrant) and embedding models Experience with model serving frameworks (vLLM, TensorRT, Ray) Background in forecasting, planning, or analytics applications Familiarity with Anaplan or similar enterprise planning platforms Experience with A/B testing and experimentation frameworks for AI features Contributions to open source ML projects or research publications Experience with model observability tools (LangSmith, W&B, MLflow) What Makes This Role Exciting Lead a greenfield team building transformative AI capabilities from the ground up Work on cutting edge conversational and agentic AI technologies Build user facing AI features that directly impact how businesses plan and make decisions Experiment with the latest GenAI models and techniques Collaborate with talented engineers, data scientists, and product designers Solve unique challenges at the intersection of AI and enterprise software Grow your skills in both ML engineering and full stack development Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB) We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren't just words on paper - this is what drives our innovation, it's how we connect, and it contributes to what makes us a market leader. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.
About the Role We're seeking a versatile Principal Data scientist who can work across the full stack of Anaplan AI applications, from model integration and prompt engineering to building intuitive user interfaces. In this role, you will have a direct impact on our industry leading platform by architecting and deploying cutting edge AI solutions that drive intelligent, automated, and forward looking decision making for our global customers. You will bridge the gap between traditional predictive algorithms and modern generative systems. Your Impact Advanced Modeling & Predictive Analytics: Lead the research, design, and implementation of advanced Machine Learning, Deep Learning, and Timeseries Forecasting models to solve complex enterprise business and planning challenges. Generative AI Architecture: Architect GenAI solutions, focusing on fine tuning proprietary and open source Large Language Models (LLMs) via Transformer architectures for specialised enterprise data tasks. Next Gen Interfaces: Design and integrate Conversational AI and autonomous Agentic AI workflows, creating intuitive experiences that can independently execute complex planning tasks. Production & Scale: Collaborate with Engineering, Product, and Design teams to transition AI models from early prototypes into robust, highly scalable production systems. Technical Leadership: Serve as a core subject matter expert, mentoring cross functional teams and driving a culture of technical excellence, rigorous testing, and continuous learning. Your Skills Extensive professional engineering experience across Artificial Intelligence, Machine Learning, or related domains. Deep technical understanding of Transformer architectures, prompt engineering, and conversational AI patterns, alongside practical experience with autonomous agent frameworks. Experience fine tuning LLMs (e.g., LoRA, QLoRA, RLHF) specifically for domain specific enterprise applications. Taken responsibility of models from concept to production, utilising strong MLOps and LLMOps practices to ensure scalable, reliable, and monitorable deployments. High proficiency in Python and modern software development practices, including rigorous testing, code reviews, and CI/CD pipelines. Strong hands on experience in traditional Machine Learning and deep learning techniques, specifically including Timeseries Forecasting algorithms. Background in Computer Science, Artificial Intelligence, Statistics, Data Science, or a related quantitative field. Experience working with scalable cloud infrastructure (AWS, GCP, or Azure) and MLOps tools for model training, monitoring, and deployment. Background in forecasting, planning, or analytics applications. Familiarity with Anaplan or similar enterprise planning platforms. Experience with A/B testing and experimentation frameworks for AI features. Contributions to open source ML projects or research publications. Our Commitment to Diversity, Equity, Inclusion, and Belonging (DEIB) We believe at Anaplan that diversity, equity, inclusion and belonging are central to our success. All applicants are considered equally; we welcome individuals of all genders, sexual orientations, religions, ethnicities, ages, neurodiversity, disabilities, citizenship, and other identities. We will provide reasonable accommodation to individuals with disabilities to participate in the application process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.
25/05/2026
Full time
About the Role We're seeking a versatile Principal Data scientist who can work across the full stack of Anaplan AI applications, from model integration and prompt engineering to building intuitive user interfaces. In this role, you will have a direct impact on our industry leading platform by architecting and deploying cutting edge AI solutions that drive intelligent, automated, and forward looking decision making for our global customers. You will bridge the gap between traditional predictive algorithms and modern generative systems. Your Impact Advanced Modeling & Predictive Analytics: Lead the research, design, and implementation of advanced Machine Learning, Deep Learning, and Timeseries Forecasting models to solve complex enterprise business and planning challenges. Generative AI Architecture: Architect GenAI solutions, focusing on fine tuning proprietary and open source Large Language Models (LLMs) via Transformer architectures for specialised enterprise data tasks. Next Gen Interfaces: Design and integrate Conversational AI and autonomous Agentic AI workflows, creating intuitive experiences that can independently execute complex planning tasks. Production & Scale: Collaborate with Engineering, Product, and Design teams to transition AI models from early prototypes into robust, highly scalable production systems. Technical Leadership: Serve as a core subject matter expert, mentoring cross functional teams and driving a culture of technical excellence, rigorous testing, and continuous learning. Your Skills Extensive professional engineering experience across Artificial Intelligence, Machine Learning, or related domains. Deep technical understanding of Transformer architectures, prompt engineering, and conversational AI patterns, alongside practical experience with autonomous agent frameworks. Experience fine tuning LLMs (e.g., LoRA, QLoRA, RLHF) specifically for domain specific enterprise applications. Taken responsibility of models from concept to production, utilising strong MLOps and LLMOps practices to ensure scalable, reliable, and monitorable deployments. High proficiency in Python and modern software development practices, including rigorous testing, code reviews, and CI/CD pipelines. Strong hands on experience in traditional Machine Learning and deep learning techniques, specifically including Timeseries Forecasting algorithms. Background in Computer Science, Artificial Intelligence, Statistics, Data Science, or a related quantitative field. Experience working with scalable cloud infrastructure (AWS, GCP, or Azure) and MLOps tools for model training, monitoring, and deployment. Background in forecasting, planning, or analytics applications. Familiarity with Anaplan or similar enterprise planning platforms. Experience with A/B testing and experimentation frameworks for AI features. Contributions to open source ML projects or research publications. Our Commitment to Diversity, Equity, Inclusion, and Belonging (DEIB) We believe at Anaplan that diversity, equity, inclusion and belonging are central to our success. All applicants are considered equally; we welcome individuals of all genders, sexual orientations, religions, ethnicities, ages, neurodiversity, disabilities, citizenship, and other identities. We will provide reasonable accommodation to individuals with disabilities to participate in the application process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.
The Opportunity This is your chance to build the foundational systems for 'Citi Assist', a Generative AI assistant that will reach every Citi employee globally. You'll join us on the ground floor, becoming a core builder on a high-visibility platform that sets the standard for how a global bank adopts this technology safely and at scale. Here's what makes this role unique: we know that data is the key to building a successful, safe, and scalable generative AI assistant. The difference between a good AI product and a great one isn't just the model-it's the testing, evaluation, and feedback loops that make it better every day. As a data-focused full-stack engineer, you'll help us craft the tools and systems that let us understand how Assist is performing, where it's succeeding, and where it needs to improve. You'll work across the stack, building everything from intuitive dashboards that surface insights to robust backend pipelines that process evaluation data at scale. What You'll Do Build the tools that make Assist great. You'll design and build the testing, evaluation, and feedback systems that help us understand how our AI assistant is performing in the real world. This means creating tools for both our team and our users to provide feedback, analyse interactions, and measure quality. Work with data across the full stack. You'll build data pipelines that collect and process evaluation metrics, create visualisations that surface insights to the team, and design APIs that power our testing infrastructure. You'll be equally comfortable writing SQL queries as you are building React components. Own your features end to end. You'll take responsibility from conception to production. That means understanding the problem we're trying to solve, designing the right solution, building it, and measuring whether it's working. You'll drive your work forward with autonomy while keeping the team aligned. Build with safety and quality in mind. For us, building safe, sound, and compliant systems is non negotiable. You'll help us establish the data practices and evaluation frameworks that ensure Assist meets our high standards for quality, safety, and regulatory compliance. Set the technical direction. As a VP level engineer, we expect you to influence how we approach problems. You'll mentor other engineers, contribute to architectural decisions, and help establish best practices for how we work with data across the platform. Be a great teammate. We expect you to be a leader in our engineering culture. That means offering thoughtful code reviews, unblocking your peers, sharing what you learn, and helping raise the bar for the whole team. We succeed together. What We're Looking For We know that people from underrepresented groups are less likely to apply if they don't meet 100% of the criteria. If you're excited about this role but your experience doesn't align perfectly with every qualification, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Strong experience building and deploying production applications across the full stack Proficiency in multiple languages, including Python and TypeScript/JavaScript (experience with Go or Java is a plus) Deep experience working with data-whether that's building data pipelines, designing analytics systems, or creating data driven products Experience building user facing features with modern frontend frameworks like React, Vue, or Angular Strong SQL skills and experience with relational databases like Postgres Experience building backend services and APIs that handle data at scale Comfort with containerised environments and cloud infrastructure (we use OpenShift/Kubernetes) Strong understanding of CI/CD pipelines, testing frameworks, and automation Experience with data visualisation tools and techniques What Matters Most to Us A data driven mindset. You believe that good data and rigorous evaluation are essential to building great products. You know how to instrument systems to collect the right data and how to turn that data into actionable insights. A solutions first approach. You find the best path to solve the problem, whether that's building new infrastructure, leveraging existing tools, or changing how we think about the problem entirely. You're pragmatic about trade offs. Technical leadership. You have strong opinions, loosely held. You can articulate your technical vision and bring others along with you, but you're also open to being wrong and learning from your peers. A focus on impact. You understand that our goal is to deliver value to users and make Assist better every day. You know when to move fast and when to invest in building things properly. Clear communication and ownership. You take initiative, communicate proactively, and take responsibility for outcomes. You don't wait for permission, but you keep stakeholders informed. A collaborative spirit. You thrive in team environments where you can learn from others and help them grow. You see mentoring and knowledge sharing as part of your role. Bonus Points For Direct experience building evaluation or testing frameworks for AI/ML systems Experience with LLM evaluation techniques, prompt engineering, or AI safety concepts Experience with data pipeline tools like Apache Airflow, Dagster, or similar Experience with analytics platforms, experimentation frameworks, or A/B testing infrastructure Background in data science, analytics engineering, or similar data focused roles' Contributions to open source projects in the data or AI space Experience working in highly regulated environments Our Tech Stack We work with Python, TypeScript, Go, and Java on the backend. Our frontend is built with TypeScript, React, and Next.js. We use Postgres for our database, run everything on Kubernetes (specifically Red Hat OpenShift), and our DevOps setup includes GitHub and CI/CD tools like Tekton and Harness. Our Team and Mission We're the Common Platform Engineering team for GenAI, a central group in the Chief Technology Office. We're a focused agile team that owns our work from idea to production. Our culture is built on a shared belief in engineering craftsmanship, backed by leadership that actually understands what that means. We're on a journey to prove what's possible inside a large organisation, and that means navigating some legacy while building the future. This isn't a role for someone who wants everything to be perfect on day one. It's for an engineer who wants to help us get there, influencing how we solve problems and raising our collective bar. We have a dual mission. First, we're building 'Citi Assist', the GenAI digital assistant for our colleagues. Second, we're providing the platforms and guidance that enable the entire organisation to adopt GenAI safely and effectively. This is not a typical banking job. You'll build foundational technology that has a direct, positive impact on hundreds of thousands of people. You'll have the executive support to tackle big problems and real autonomy to shape our solutions. Most importantly, you'll join a passionate, collaborative team where we all learn from each other and push each other to do our best work. What We'll Provide You This is a unique role that will put you in the position to be part of a new venture and actively drive change. Every day there will be new challenges that will help you develop new skills that can drive your career. By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretionary annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Visit ourGlobal Benefitspage to learn more. Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.
25/05/2026
Full time
The Opportunity This is your chance to build the foundational systems for 'Citi Assist', a Generative AI assistant that will reach every Citi employee globally. You'll join us on the ground floor, becoming a core builder on a high-visibility platform that sets the standard for how a global bank adopts this technology safely and at scale. Here's what makes this role unique: we know that data is the key to building a successful, safe, and scalable generative AI assistant. The difference between a good AI product and a great one isn't just the model-it's the testing, evaluation, and feedback loops that make it better every day. As a data-focused full-stack engineer, you'll help us craft the tools and systems that let us understand how Assist is performing, where it's succeeding, and where it needs to improve. You'll work across the stack, building everything from intuitive dashboards that surface insights to robust backend pipelines that process evaluation data at scale. What You'll Do Build the tools that make Assist great. You'll design and build the testing, evaluation, and feedback systems that help us understand how our AI assistant is performing in the real world. This means creating tools for both our team and our users to provide feedback, analyse interactions, and measure quality. Work with data across the full stack. You'll build data pipelines that collect and process evaluation metrics, create visualisations that surface insights to the team, and design APIs that power our testing infrastructure. You'll be equally comfortable writing SQL queries as you are building React components. Own your features end to end. You'll take responsibility from conception to production. That means understanding the problem we're trying to solve, designing the right solution, building it, and measuring whether it's working. You'll drive your work forward with autonomy while keeping the team aligned. Build with safety and quality in mind. For us, building safe, sound, and compliant systems is non negotiable. You'll help us establish the data practices and evaluation frameworks that ensure Assist meets our high standards for quality, safety, and regulatory compliance. Set the technical direction. As a VP level engineer, we expect you to influence how we approach problems. You'll mentor other engineers, contribute to architectural decisions, and help establish best practices for how we work with data across the platform. Be a great teammate. We expect you to be a leader in our engineering culture. That means offering thoughtful code reviews, unblocking your peers, sharing what you learn, and helping raise the bar for the whole team. We succeed together. What We're Looking For We know that people from underrepresented groups are less likely to apply if they don't meet 100% of the criteria. If you're excited about this role but your experience doesn't align perfectly with every qualification, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Strong experience building and deploying production applications across the full stack Proficiency in multiple languages, including Python and TypeScript/JavaScript (experience with Go or Java is a plus) Deep experience working with data-whether that's building data pipelines, designing analytics systems, or creating data driven products Experience building user facing features with modern frontend frameworks like React, Vue, or Angular Strong SQL skills and experience with relational databases like Postgres Experience building backend services and APIs that handle data at scale Comfort with containerised environments and cloud infrastructure (we use OpenShift/Kubernetes) Strong understanding of CI/CD pipelines, testing frameworks, and automation Experience with data visualisation tools and techniques What Matters Most to Us A data driven mindset. You believe that good data and rigorous evaluation are essential to building great products. You know how to instrument systems to collect the right data and how to turn that data into actionable insights. A solutions first approach. You find the best path to solve the problem, whether that's building new infrastructure, leveraging existing tools, or changing how we think about the problem entirely. You're pragmatic about trade offs. Technical leadership. You have strong opinions, loosely held. You can articulate your technical vision and bring others along with you, but you're also open to being wrong and learning from your peers. A focus on impact. You understand that our goal is to deliver value to users and make Assist better every day. You know when to move fast and when to invest in building things properly. Clear communication and ownership. You take initiative, communicate proactively, and take responsibility for outcomes. You don't wait for permission, but you keep stakeholders informed. A collaborative spirit. You thrive in team environments where you can learn from others and help them grow. You see mentoring and knowledge sharing as part of your role. Bonus Points For Direct experience building evaluation or testing frameworks for AI/ML systems Experience with LLM evaluation techniques, prompt engineering, or AI safety concepts Experience with data pipeline tools like Apache Airflow, Dagster, or similar Experience with analytics platforms, experimentation frameworks, or A/B testing infrastructure Background in data science, analytics engineering, or similar data focused roles' Contributions to open source projects in the data or AI space Experience working in highly regulated environments Our Tech Stack We work with Python, TypeScript, Go, and Java on the backend. Our frontend is built with TypeScript, React, and Next.js. We use Postgres for our database, run everything on Kubernetes (specifically Red Hat OpenShift), and our DevOps setup includes GitHub and CI/CD tools like Tekton and Harness. Our Team and Mission We're the Common Platform Engineering team for GenAI, a central group in the Chief Technology Office. We're a focused agile team that owns our work from idea to production. Our culture is built on a shared belief in engineering craftsmanship, backed by leadership that actually understands what that means. We're on a journey to prove what's possible inside a large organisation, and that means navigating some legacy while building the future. This isn't a role for someone who wants everything to be perfect on day one. It's for an engineer who wants to help us get there, influencing how we solve problems and raising our collective bar. We have a dual mission. First, we're building 'Citi Assist', the GenAI digital assistant for our colleagues. Second, we're providing the platforms and guidance that enable the entire organisation to adopt GenAI safely and effectively. This is not a typical banking job. You'll build foundational technology that has a direct, positive impact on hundreds of thousands of people. You'll have the executive support to tackle big problems and real autonomy to shape our solutions. Most importantly, you'll join a passionate, collaborative team where we all learn from each other and push each other to do our best work. What We'll Provide You This is a unique role that will put you in the position to be part of a new venture and actively drive change. Every day there will be new challenges that will help you develop new skills that can drive your career. By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretionary annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Visit ourGlobal Benefitspage to learn more. Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.
Location London - The River Building HQ Employment Type Full time Location Type On-site Department Deliveroo Cost Center Hierarchy Technology Technology Engineering Why Deliveroo? Our mission is to transform the way you shop and eat, bringing the neighbourhood to your door by connecting consumers, restaurants, shops and riders. We are transforming the way the world eats and shops by making access to food and products more convenient and enjoyable. We give people the opportunity to buy what they want, as they want it, when and where they want it. We are a technology-driven company at the forefront of the most rapidly expanding industry in the world. We are still a small team, making a very large impact, looking to answer some of the most interesting questions out there. We move fast, value autonomy and ownership, and we are always looking for new ideas. Working at Deliveroo is the perfect environment to build a definitive career, motivated by impact. Firstly, the impact that working here will have on your development, allowing you to grow faster than you might elsewhere; secondly, the impact that you can have on Deliveroo, leaving your mark as we scale; and finally, being part of something bigger, through the impact that we make together in our marketplace and communities. About the Role At Deliveroo, our software engineers implement and operate technological solutions to improve the experiences of our restaurants, riders, and consumers. From creating beautiful, user-friendly flows to crafting scalable backend architectures, we strive to deliver reliant, performant technology that delights our customers. We believe interns are essential to our mission of attracting and retaining top talent. During our 12-week Software Engineer internship, interns are completely immersed in their teams and will have the opportunity to develop, maintain, and ship products. As an intern, you will directly impact our business by collaborating with your team to solve real problems for our customers. Applicants must be authorized to work in the U.K. to be considered for this position. The 2026 internship program will be hosted in person at Deliveroo's London headquarters at Cannon Bridge House. What you'll do Learn modern, industry-leading product development practices, including how engineers use GenAI-assisted coding and tooling to design, build, and ship real software Develop, maintain and ship technical elements with the support of your mentor, manager, and team members Act on feedback, coaching, and mentorship from your mentor and team members Actively learn about the elements to which you contribute Make a direct impact on our business by collaborating with your team to solve problems for our customers Participate in intern programming, including leadership speaker sessions, social events, and team activities Present your summer learnings during a final presentation at the end of the internship Expectations You are pursuing a B.S. or M.S. Degree in Computer Science or equivalent, have no more than 2 years of full-time work experience, and are graduating between Fall 2026 to Summer 2027. You are available for a Summer 2026 start date (Internships are only hosted during the Summer) You have experience working with databases (e.g., PostgreSQL, MySQL, AWS, SQL, etc.) You have a solid understanding of algorithms and data structures Experience writing web-based applications in any language, and an interest in learning (Go, Ruby/Rails, Python, Scala, or Rust) You have experience writing clean code, working with version control, and doing unit testing. Preferred but not expected At least 1 previous Software Engineering internship or equivalent relevant experience Ability to analyze and improve efficiency, scalability, and stability of various systems Excited to develop, release and run large-scale web applications Experience with solutions for systems monitoring, live deployments, and continuous integration Experience with real-time technology problems Experience working with service-oriented architecture, writing APIs, and designing systems. Participation in project or research-based technical work, hackathons, technical conferences/organization, on-campus student organization leadership, technical teaching assistant roles, relevant extracurricular activities, or other technical experience. Workplace & Diversity At Deliveroo we know that people are the heart of the business and we prioritise their welfare. Benefits differ by country, but we offer many benefits in areas including healthcare, wellness, parental leave, and pensions. Benefits are country-specific, please ask your recruiter for more information. At Deliveroo, we believe a great workplace is one that represents the world we live in and how beautifully diverse it can be. That means we have no judgement when it comes to any one of the things that make you who you are - your gender, race, sexuality, religion or a secret aversion to coriander. All you need is a passion for (most) food and a desire to be part of one of the fastest-growing businesses in a rapidly growing industry.
24/05/2026
Full time
Location London - The River Building HQ Employment Type Full time Location Type On-site Department Deliveroo Cost Center Hierarchy Technology Technology Engineering Why Deliveroo? Our mission is to transform the way you shop and eat, bringing the neighbourhood to your door by connecting consumers, restaurants, shops and riders. We are transforming the way the world eats and shops by making access to food and products more convenient and enjoyable. We give people the opportunity to buy what they want, as they want it, when and where they want it. We are a technology-driven company at the forefront of the most rapidly expanding industry in the world. We are still a small team, making a very large impact, looking to answer some of the most interesting questions out there. We move fast, value autonomy and ownership, and we are always looking for new ideas. Working at Deliveroo is the perfect environment to build a definitive career, motivated by impact. Firstly, the impact that working here will have on your development, allowing you to grow faster than you might elsewhere; secondly, the impact that you can have on Deliveroo, leaving your mark as we scale; and finally, being part of something bigger, through the impact that we make together in our marketplace and communities. About the Role At Deliveroo, our software engineers implement and operate technological solutions to improve the experiences of our restaurants, riders, and consumers. From creating beautiful, user-friendly flows to crafting scalable backend architectures, we strive to deliver reliant, performant technology that delights our customers. We believe interns are essential to our mission of attracting and retaining top talent. During our 12-week Software Engineer internship, interns are completely immersed in their teams and will have the opportunity to develop, maintain, and ship products. As an intern, you will directly impact our business by collaborating with your team to solve real problems for our customers. Applicants must be authorized to work in the U.K. to be considered for this position. The 2026 internship program will be hosted in person at Deliveroo's London headquarters at Cannon Bridge House. What you'll do Learn modern, industry-leading product development practices, including how engineers use GenAI-assisted coding and tooling to design, build, and ship real software Develop, maintain and ship technical elements with the support of your mentor, manager, and team members Act on feedback, coaching, and mentorship from your mentor and team members Actively learn about the elements to which you contribute Make a direct impact on our business by collaborating with your team to solve problems for our customers Participate in intern programming, including leadership speaker sessions, social events, and team activities Present your summer learnings during a final presentation at the end of the internship Expectations You are pursuing a B.S. or M.S. Degree in Computer Science or equivalent, have no more than 2 years of full-time work experience, and are graduating between Fall 2026 to Summer 2027. You are available for a Summer 2026 start date (Internships are only hosted during the Summer) You have experience working with databases (e.g., PostgreSQL, MySQL, AWS, SQL, etc.) You have a solid understanding of algorithms and data structures Experience writing web-based applications in any language, and an interest in learning (Go, Ruby/Rails, Python, Scala, or Rust) You have experience writing clean code, working with version control, and doing unit testing. Preferred but not expected At least 1 previous Software Engineering internship or equivalent relevant experience Ability to analyze and improve efficiency, scalability, and stability of various systems Excited to develop, release and run large-scale web applications Experience with solutions for systems monitoring, live deployments, and continuous integration Experience with real-time technology problems Experience working with service-oriented architecture, writing APIs, and designing systems. Participation in project or research-based technical work, hackathons, technical conferences/organization, on-campus student organization leadership, technical teaching assistant roles, relevant extracurricular activities, or other technical experience. Workplace & Diversity At Deliveroo we know that people are the heart of the business and we prioritise their welfare. Benefits differ by country, but we offer many benefits in areas including healthcare, wellness, parental leave, and pensions. Benefits are country-specific, please ask your recruiter for more information. At Deliveroo, we believe a great workplace is one that represents the world we live in and how beautifully diverse it can be. That means we have no judgement when it comes to any one of the things that make you who you are - your gender, race, sexuality, religion or a secret aversion to coriander. All you need is a passion for (most) food and a desire to be part of one of the fastest-growing businesses in a rapidly growing industry.
The Product & Engineering team is responsible for designing, building and scaling Data & AI products that power intelligent experiences, decisions and actions across the Tesco ecosystem. Working in close partnership with business and technology teams across Stores, Finance, People, Customer and Commercial, we enable the seamless build, integration and adoption of Data & AI capabilities that deliver measurable value. This is an opportunity to play a leading role in shaping a new generation of Data & AI products, from problem definition through to launch and scale, driving meaningful impact for Tesco colleagues and the wider business. This is a hybrid role with the expectation of being based at our London and Welwyn Garden City offices 3 days a week. The Software Development Engineer III is a senior, hands on engineer specialising in building and operating GenAI powered products, including LLM based applications and agentic workflows that enable intelligent decision making and automation. The role spans the full product lifecycle, translating complex business problems into production grade solutions across data, backend services, APIs and user facing applications, with a strong focus on reliability, guardrails and real user impact. The role also provides technical leadership by designing shared GenAI capabilities, supporting live systems and raising engineering and AI delivery standards across the team through mentoring and rigorous design practice. Responsibilities Data & AI Product Development: Take ideas from discovery through rapid prototypes to production grade solutions that combine data, user facing applications and backend services. Work closely with product managers, designers, data science and engineering teams to translate business needs into well designed technical solutions. Design and deliver LLM based applications and AI agents that enable intelligent decision making and automation, applying pragmatic engineering patterns and appropriate guardrails. Design and consume APIs that support responsive, intuitive UIs, working across backend, data and frontend layers to deliver coherent, production-ready experiences. Build shared capabilities (libraries, templates, services, prompts/config patterns, evaluation suites) that reduce duplication and enable other squads to adopt GenAI safely and consistently. Support and operate live systems, troubleshoot complex issues, perform root cause analysis and continuously improve reliability, quality and speed of delivery. Build and maintain web-based user interfaces using React.js, modern JavaScript / TypeScript, HTML and CSS, enabling colleagues to interact effectively with data and AI based tools. Technical Excellence: Promote strong software engineering practices across backend and frontend development, including CI/CD, testing, secure by default development, performance optimisation and observability. Support and operate live systems, troubleshoot complex issues, perform root cause analysis and continuously improve reliability, quality and speed of delivery. Technical Leadership: Provide hands on technical leadership through design reviews, mentoring and knowledge sharing, helping raise engineering standards across the team. Qualifications Strong experience as a senior software engineer delivering and operating production systems. Solid backend engineering experience (e.g. Python or similar), including API design, testing, CI/CD and operational support. Practical experience building LLM-powered applications (e.g. copilots, assistants, agent based workflows), with a focus on reliability and real user impact. Good working knowledge of React.js and modern JavaScript / TypeScript, with experience building and maintaining production web interfaces. Proficiency with HTML and CSS, and an understanding of usability, accessibility and performance considerations. Experience working across data, backend and UI layers, collaborating with others rather than owning every layer in isolation. Ability to make thoughtful technical trade offs, communicate clearly with both technical and non technical stakeholders and work effectively in a product led team.
24/05/2026
Full time
The Product & Engineering team is responsible for designing, building and scaling Data & AI products that power intelligent experiences, decisions and actions across the Tesco ecosystem. Working in close partnership with business and technology teams across Stores, Finance, People, Customer and Commercial, we enable the seamless build, integration and adoption of Data & AI capabilities that deliver measurable value. This is an opportunity to play a leading role in shaping a new generation of Data & AI products, from problem definition through to launch and scale, driving meaningful impact for Tesco colleagues and the wider business. This is a hybrid role with the expectation of being based at our London and Welwyn Garden City offices 3 days a week. The Software Development Engineer III is a senior, hands on engineer specialising in building and operating GenAI powered products, including LLM based applications and agentic workflows that enable intelligent decision making and automation. The role spans the full product lifecycle, translating complex business problems into production grade solutions across data, backend services, APIs and user facing applications, with a strong focus on reliability, guardrails and real user impact. The role also provides technical leadership by designing shared GenAI capabilities, supporting live systems and raising engineering and AI delivery standards across the team through mentoring and rigorous design practice. Responsibilities Data & AI Product Development: Take ideas from discovery through rapid prototypes to production grade solutions that combine data, user facing applications and backend services. Work closely with product managers, designers, data science and engineering teams to translate business needs into well designed technical solutions. Design and deliver LLM based applications and AI agents that enable intelligent decision making and automation, applying pragmatic engineering patterns and appropriate guardrails. Design and consume APIs that support responsive, intuitive UIs, working across backend, data and frontend layers to deliver coherent, production-ready experiences. Build shared capabilities (libraries, templates, services, prompts/config patterns, evaluation suites) that reduce duplication and enable other squads to adopt GenAI safely and consistently. Support and operate live systems, troubleshoot complex issues, perform root cause analysis and continuously improve reliability, quality and speed of delivery. Build and maintain web-based user interfaces using React.js, modern JavaScript / TypeScript, HTML and CSS, enabling colleagues to interact effectively with data and AI based tools. Technical Excellence: Promote strong software engineering practices across backend and frontend development, including CI/CD, testing, secure by default development, performance optimisation and observability. Support and operate live systems, troubleshoot complex issues, perform root cause analysis and continuously improve reliability, quality and speed of delivery. Technical Leadership: Provide hands on technical leadership through design reviews, mentoring and knowledge sharing, helping raise engineering standards across the team. Qualifications Strong experience as a senior software engineer delivering and operating production systems. Solid backend engineering experience (e.g. Python or similar), including API design, testing, CI/CD and operational support. Practical experience building LLM-powered applications (e.g. copilots, assistants, agent based workflows), with a focus on reliability and real user impact. Good working knowledge of React.js and modern JavaScript / TypeScript, with experience building and maintaining production web interfaces. Proficiency with HTML and CSS, and an understanding of usability, accessibility and performance considerations. Experience working across data, backend and UI layers, collaborating with others rather than owning every layer in isolation. Ability to make thoughtful technical trade offs, communicate clearly with both technical and non technical stakeholders and work effectively in a product led team.
Senior SAP Solution Architect, WWPS Global ISV Partners Job ID: AWS EMEA SARL (UK Branch) Amazon Web Services (AWS) is seeking an experienced SAP Solutions Architect to help public sector customers design, migrate, and modernize their SAP landscapes on AWS. In this role, you will work across government, defense, regulated industries and intelligence community, partnering with SAP Public Sector, systems integrators, and internal AWS teams to deliver mission critical outcomes in regulated environments. Key job responsibilities Design and architect SAP solutions on AWS aligned to public sector mission outcomes across government, defense, and intelligence community customers. Work closely with SAP, systems integrators, and internal AWS teams to drive joint solution delivery for government agencies. Provide technical leadership across the full lifecycle: pre sales, implementation, migration, and optimization with emphasis on regulated environments. Lead architecture reviews, solution design, and technical strategy for SAP workloads including SAP RISE with AWS, S/4HANA Cloud, BTP, and SAP AI services (Joule, AI Foundation, Business AI). Build executive and technical stakeholder relationships with government CIOs/CTOs, mission owners, and partner leadership. Support RFPs/RFIs, workshops, customer presentations, and public sector GTM activities including agency specific capture efforts. Mentor junior architects and scale best practices for SAP on AWS in government contexts. Stay current on SAP technologies (RISE with SAP, S/4HANA, BTP, SAP AI services), cloud modernization, and public sector regulatory/compliance trends. A day in the life No two days look the same. You might start with a whiteboard session designing a compliant architecture for a government agency migrating to SAP on AWS, then jump to a call with SAP Public Sector engineering to unblock a joint integration. After lunch, you're leading a technical deep dive with a MoD customer evaluating GenAI capabilities, followed by connecting with your partner development manager on pipeline strategy. You'll balance hands on technical work - writing reference architectures, building proofs of concept - with strategic partner engagement, all in service of helping government customers modernize faster. About the team We're the WWPS ISV Partner Solutions Architecture team - a group of SAs embedded with strategic software partners serving U.S. and Global public sector and regulated industry customers. We sit at the intersection of AWS and our ISV partners, helping government agencies modernize by bringing the best of both platforms together. Our SAP focused SAs work hands on with SAP Public Services to architect cloud native solutions that meet the unique compliance, security, and scale requirements of public sector customers. We're technical, customer obsessed, and thrive on solving hard problems with real mission impact. Basic Qualifications Experience in IT development or implementation/consulting in the software or Internet industries Experience within specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) Experience in design, implementation, or consulting in applications and infrastructures Experience communicating across technical and non technical audiences, including executive level stakeholders or clients Knowledge of SAP systems (like SAP Business Suite, S/4HANA, SAP Business Warehouse, SAP HANA, SAP Business Objects, etc.) and their architecture and infrastructure needs Travel up to % of the time regularly throughout the assigned region and international Preferred Qualifications Experience in infrastructure architecture, database architecture and networking Experience working with end user or developer communities Speak, write, and read fluently in French, Spanish, German or Italian Experience in SAP S/4HANA, SAP Cloud Platform, SAP Cloud ERP and Cloud ERP Private Experience in SAP clean core design concepts, including design and build using non SAP technologies in domains such as Generative / Agentic AI, and data & analytics Experience managing relationships with SAP customers and partners Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
24/05/2026
Full time
Senior SAP Solution Architect, WWPS Global ISV Partners Job ID: AWS EMEA SARL (UK Branch) Amazon Web Services (AWS) is seeking an experienced SAP Solutions Architect to help public sector customers design, migrate, and modernize their SAP landscapes on AWS. In this role, you will work across government, defense, regulated industries and intelligence community, partnering with SAP Public Sector, systems integrators, and internal AWS teams to deliver mission critical outcomes in regulated environments. Key job responsibilities Design and architect SAP solutions on AWS aligned to public sector mission outcomes across government, defense, and intelligence community customers. Work closely with SAP, systems integrators, and internal AWS teams to drive joint solution delivery for government agencies. Provide technical leadership across the full lifecycle: pre sales, implementation, migration, and optimization with emphasis on regulated environments. Lead architecture reviews, solution design, and technical strategy for SAP workloads including SAP RISE with AWS, S/4HANA Cloud, BTP, and SAP AI services (Joule, AI Foundation, Business AI). Build executive and technical stakeholder relationships with government CIOs/CTOs, mission owners, and partner leadership. Support RFPs/RFIs, workshops, customer presentations, and public sector GTM activities including agency specific capture efforts. Mentor junior architects and scale best practices for SAP on AWS in government contexts. Stay current on SAP technologies (RISE with SAP, S/4HANA, BTP, SAP AI services), cloud modernization, and public sector regulatory/compliance trends. A day in the life No two days look the same. You might start with a whiteboard session designing a compliant architecture for a government agency migrating to SAP on AWS, then jump to a call with SAP Public Sector engineering to unblock a joint integration. After lunch, you're leading a technical deep dive with a MoD customer evaluating GenAI capabilities, followed by connecting with your partner development manager on pipeline strategy. You'll balance hands on technical work - writing reference architectures, building proofs of concept - with strategic partner engagement, all in service of helping government customers modernize faster. About the team We're the WWPS ISV Partner Solutions Architecture team - a group of SAs embedded with strategic software partners serving U.S. and Global public sector and regulated industry customers. We sit at the intersection of AWS and our ISV partners, helping government agencies modernize by bringing the best of both platforms together. Our SAP focused SAs work hands on with SAP Public Services to architect cloud native solutions that meet the unique compliance, security, and scale requirements of public sector customers. We're technical, customer obsessed, and thrive on solving hard problems with real mission impact. Basic Qualifications Experience in IT development or implementation/consulting in the software or Internet industries Experience within specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) Experience in design, implementation, or consulting in applications and infrastructures Experience communicating across technical and non technical audiences, including executive level stakeholders or clients Knowledge of SAP systems (like SAP Business Suite, S/4HANA, SAP Business Warehouse, SAP HANA, SAP Business Objects, etc.) and their architecture and infrastructure needs Travel up to % of the time regularly throughout the assigned region and international Preferred Qualifications Experience in infrastructure architecture, database architecture and networking Experience working with end user or developer communities Speak, write, and read fluently in French, Spanish, German or Italian Experience in SAP S/4HANA, SAP Cloud Platform, SAP Cloud ERP and Cloud ERP Private Experience in SAP clean core design concepts, including design and build using non SAP technologies in domains such as Generative / Agentic AI, and data & analytics Experience managing relationships with SAP customers and partners Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Senior AI Engineer Python LLM - Finance Consultancy London, Greater London £75k - £90k per year Senior AI Engineer (Python LLM MLOps) London / WFH to £90k Are you an experienced Software Engineer with a strong knowledge of AI, LLMs and agentic coding? You could be progressing your career at a global finance technology consultancy, working with clients including global Investment Banks and financial services organisations. What's in it for you: Salary to £90k Pension, Life Assurance, Income Protection Private medical care for you and your family, including mental health Travel Insurance Charitable giving Gym membership for you and your family Your role: As a Senior AI Engineer you'll design and develop autonomous AI systems integrating multi-modal LLMs (text, image, audio, video), design agentic workflows enabling AI agents to interact with data sources and APIs using prompt engineering and RAG, optimise and deploy large language and multi-modal models with a focus on performance and latency and build scalable MLOps pipelines and full-stack applications to support robust, production-grade AI deployments. Using a consultative approach you'll guide multidisciplinary teams and clients through strategic decisions in AI engineering and GenAI adoption. About you: You have achieved a 2.1 or above bachelor's degree in Computer Science, AI or related STEM disciplines You have a strong Python software engineering background including and API development You have hands-on experience deploying LLMs and multi-modal models at scale in production You have a strong understanding of scalable MLOps, observability and cloud-native AI deployment You're collaborative and pragmatic with advanced stakeholder communication, problem-solving and project management skills in Agile environments Experience with any of the following is advantageous: agentic frameworks (e.g., LangChain, LlamaIndex), deep learning frameworks, Langfuse, Langsmith, MCP (Model Context Protocol), bias mitigation techniques Apply now to find out more about this Senior AI Engineer (Python LLM MLOps RAG MCP) opportunity.
24/05/2026
Full time
Senior AI Engineer Python LLM - Finance Consultancy London, Greater London £75k - £90k per year Senior AI Engineer (Python LLM MLOps) London / WFH to £90k Are you an experienced Software Engineer with a strong knowledge of AI, LLMs and agentic coding? You could be progressing your career at a global finance technology consultancy, working with clients including global Investment Banks and financial services organisations. What's in it for you: Salary to £90k Pension, Life Assurance, Income Protection Private medical care for you and your family, including mental health Travel Insurance Charitable giving Gym membership for you and your family Your role: As a Senior AI Engineer you'll design and develop autonomous AI systems integrating multi-modal LLMs (text, image, audio, video), design agentic workflows enabling AI agents to interact with data sources and APIs using prompt engineering and RAG, optimise and deploy large language and multi-modal models with a focus on performance and latency and build scalable MLOps pipelines and full-stack applications to support robust, production-grade AI deployments. Using a consultative approach you'll guide multidisciplinary teams and clients through strategic decisions in AI engineering and GenAI adoption. About you: You have achieved a 2.1 or above bachelor's degree in Computer Science, AI or related STEM disciplines You have a strong Python software engineering background including and API development You have hands-on experience deploying LLMs and multi-modal models at scale in production You have a strong understanding of scalable MLOps, observability and cloud-native AI deployment You're collaborative and pragmatic with advanced stakeholder communication, problem-solving and project management skills in Agile environments Experience with any of the following is advantageous: agentic frameworks (e.g., LangChain, LlamaIndex), deep learning frameworks, Langfuse, Langsmith, MCP (Model Context Protocol), bias mitigation techniques Apply now to find out more about this Senior AI Engineer (Python LLM MLOps RAG MCP) opportunity.
JPMorgan Chase & Co. is seeking a Lead Software Engineer in Prime Finance Services to enhance trusted technology products. You will lead innovative, AI-driven solutions for our trading platform, collaborating with global teams. The ideal candidate should have expertise in Java/Spring, GenAI usage, and Kafka. Responsibilities include executing creative software solutions and tackling large-scale engineering challenges. Join a diverse team and help shape the future of financial technology.
24/05/2026
Full time
JPMorgan Chase & Co. is seeking a Lead Software Engineer in Prime Finance Services to enhance trusted technology products. You will lead innovative, AI-driven solutions for our trading platform, collaborating with global teams. The ideal candidate should have expertise in Java/Spring, GenAI usage, and Kafka. Responsibilities include executing creative software solutions and tackling large-scale engineering challenges. Join a diverse team and help shape the future of financial technology.
Job ID: Amazon Development Centre (London) Limited We are looking for a passionate, talented, and inventive Data Scientist with a strong machine learning and analytics background to help build industry-leading language technology powering Rufus, our AI-driven search and shopping assistant, helping customers with their shopping tasks at every step of their shopping journey. This innovative role focuses on developing conversation-based, multimodal shopping experiences, utilizing data analysis, statistical modeling, machine learning technologies, and experimentation to drive product decisions and optimize customer experiences. Our mission in conversational shopping is to make it easy for customers to find and discover the best products to meet their needs by helping with their product research, providing comparisons and recommendations, answering product questions, enabling shopping directly from images or videos, providing visual inspiration, and more. We do this by leveraging advanced analytics, Natural Language Processing, Machine Learning, A/B testing, causal inference, and data-driven insights to continuously improve our systems. Key job responsibilities As a Data Scientist on our team, you will be responsible for the analysis, modeling, and optimization of AI technologies that will shape the future of shopping experiences. You will play a critical role in measuring and improving multimodal conversational systems, in particular those based on large language models, information retrieval, recommender systems and knowledge graphs, to be tailored to customer needs. You will handle Amazon scale use cases with significant impact on our customers' experiences. You will collaborate with scientists, engineers, and product partners locally and abroad. Your work will include designing experiments, analyzing results, and launching new features, products and systems. A day in the life Perform hands on analysis and modeling of enormous multimodal datasets to develop insights into how to best help customers throughout their shopping journeys. Use statistical methods, machine learning, and data mining techniques to create scalable solutions for measuring and optimizing shopping assistant systems based on a rich set of structured and unstructured contextual signals. Design and analyze A/B tests and experiments to evaluate new features and model improvements, ensuring statistical rigor and actionable insights. Develop metrics, dashboards, and reporting frameworks to monitor system performance, customer engagement, and business impact. Build predictive models and conduct deep diving analyses to identify opportunities for improving customer experience, conversion, and satisfaction. Collaborate with Applied Scientists and Engineers to translate analytical insights into production systems, working closely on model evaluation and deployment. Establish automated processes for large scale data analysis, ETL pipelines, metric generation, and experimentation frameworks. Communicate results and insights to both technical and non-technical audiences, including through presentations, written reports, and data visualizations. About the team The Rufus Features Science team, based in London, works alongside 150 engineers, designers and product managers, shaping the future of AI-driven shopping experiences at Amazon. The team works on every aspect of the Rufus AI, from making Rufus agentic, enabling customers to set price alerts or empower Rufus to act on their behalf and automatically purchase products when the price is right, to understanding multimodal user queries and generating answers that combine text, image, audio and video, including deep research reports that scour the web and the Amazon catalog to provide detailed and personalised shopping guidance. We utilise and advance state of art techniques in the fields of Natural Language Processing, Gen AI, Information Retrieval, Machine/Deep Learning, and Data Mining. We validate our work by actively participating in the internal and external scientific communities. Basic Qualifications Experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance. Experience in a ML or data scientist role with a large technology company. Experience with data scripting languages (e.g. SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab). Experience effectively communicating complex concepts through written and verbal communication. Master's degree or above in Math, Statistics, Computer Science, or related science field. Preferred Qualifications Experience with AWS services including S3, Redshift, SageMaker, EMR, Kinesis, Lambda, and EC2. Experience in defining and creating benchmarks for assessing GenAI model performance. Experience working on multi team, cross disciplinary projects. Amazon is an equal opportunity employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
24/05/2026
Full time
Job ID: Amazon Development Centre (London) Limited We are looking for a passionate, talented, and inventive Data Scientist with a strong machine learning and analytics background to help build industry-leading language technology powering Rufus, our AI-driven search and shopping assistant, helping customers with their shopping tasks at every step of their shopping journey. This innovative role focuses on developing conversation-based, multimodal shopping experiences, utilizing data analysis, statistical modeling, machine learning technologies, and experimentation to drive product decisions and optimize customer experiences. Our mission in conversational shopping is to make it easy for customers to find and discover the best products to meet their needs by helping with their product research, providing comparisons and recommendations, answering product questions, enabling shopping directly from images or videos, providing visual inspiration, and more. We do this by leveraging advanced analytics, Natural Language Processing, Machine Learning, A/B testing, causal inference, and data-driven insights to continuously improve our systems. Key job responsibilities As a Data Scientist on our team, you will be responsible for the analysis, modeling, and optimization of AI technologies that will shape the future of shopping experiences. You will play a critical role in measuring and improving multimodal conversational systems, in particular those based on large language models, information retrieval, recommender systems and knowledge graphs, to be tailored to customer needs. You will handle Amazon scale use cases with significant impact on our customers' experiences. You will collaborate with scientists, engineers, and product partners locally and abroad. Your work will include designing experiments, analyzing results, and launching new features, products and systems. A day in the life Perform hands on analysis and modeling of enormous multimodal datasets to develop insights into how to best help customers throughout their shopping journeys. Use statistical methods, machine learning, and data mining techniques to create scalable solutions for measuring and optimizing shopping assistant systems based on a rich set of structured and unstructured contextual signals. Design and analyze A/B tests and experiments to evaluate new features and model improvements, ensuring statistical rigor and actionable insights. Develop metrics, dashboards, and reporting frameworks to monitor system performance, customer engagement, and business impact. Build predictive models and conduct deep diving analyses to identify opportunities for improving customer experience, conversion, and satisfaction. Collaborate with Applied Scientists and Engineers to translate analytical insights into production systems, working closely on model evaluation and deployment. Establish automated processes for large scale data analysis, ETL pipelines, metric generation, and experimentation frameworks. Communicate results and insights to both technical and non-technical audiences, including through presentations, written reports, and data visualizations. About the team The Rufus Features Science team, based in London, works alongside 150 engineers, designers and product managers, shaping the future of AI-driven shopping experiences at Amazon. The team works on every aspect of the Rufus AI, from making Rufus agentic, enabling customers to set price alerts or empower Rufus to act on their behalf and automatically purchase products when the price is right, to understanding multimodal user queries and generating answers that combine text, image, audio and video, including deep research reports that scour the web and the Amazon catalog to provide detailed and personalised shopping guidance. We utilise and advance state of art techniques in the fields of Natural Language Processing, Gen AI, Information Retrieval, Machine/Deep Learning, and Data Mining. We validate our work by actively participating in the internal and external scientific communities. Basic Qualifications Experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance. Experience in a ML or data scientist role with a large technology company. Experience with data scripting languages (e.g. SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab). Experience effectively communicating complex concepts through written and verbal communication. Master's degree or above in Math, Statistics, Computer Science, or related science field. Preferred Qualifications Experience with AWS services including S3, Redshift, SageMaker, EMR, Kinesis, Lambda, and EC2. Experience in defining and creating benchmarks for assessing GenAI model performance. Experience working on multi team, cross disciplinary projects. Amazon is an equal opportunity employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Join us and shape the future of financial technology with Prime Finance Services. You'll have the opportunity to architect and deliver market leading solutions in a fast paced, global environment. Collaborate with top technologists across Hong Kong, Singapore, Glasgow, and Mumbai, and push the boundaries of what's possible. We value creativity, inclusion, and technical excellence-your ideas and expertise will make a real impact. If you're ready to be a driving force behind the transformation of our equity finance platform, this is your moment. Job Summary As a Lead Software Engineer in Prime Finance Services, you will play a pivotal role in enhancing and delivering trusted technology products. You will contribute to critical technology solutions across multiple technical areas, supporting our business objectives through AI driven workflows and solutions. Your work will help transform our equity finance platform, partnering with global teams to deliver innovative, secure, and scalable technology. You'll inspire a diverse team and foster a culture of creativity and inclusion. Job Responsibilities Execute creative software solutions, design, development, and technical troubleshooting Lead with an AI driven approach in daily activities Spearhead the design and development of real time, mission critical trading platforms using Java Tackle large scale engineering challenges with technologies like Kafka Innovate, troubleshoot, and optimize for performance and stability Inspire and foster a culture of creativity, inclusion, and technical excellence Collaborate with stakeholders to deliver solutions that drive business success Contribute to a team culture of diversity, opportunity, inclusion, and respect Required Qualifications, Capabilities, and Skills Expertise in GenAI usage Experience transforming Software Engineering with an AI first approach Understanding of Prime Finance business, especially Securities Lending Formal training or certification in software engineering concepts and applied experience Experience developing event driven and batch Java applications in financial services Proficiency in Java/Spring, data structures, and performance tuning (including garbage collection) Solid experience with Kafka Proficiency in testing and debugging low latency applications Hands on experience in system design, application development, testing, and operational stability Proficient in all aspects of the Software Development Life Cycle Advanced understanding of CI/CD, Application Resiliency, and Security Knowledge of industry wide technology trends and best practices Open mindedness and willingness to learn Ability to work in large, collaborative teams to achieve organizational goals Proficiency in software applications and technical processes within technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile) Preferred Qualifications, Capabilities, and Skills UI development experience in React JS
24/05/2026
Full time
Join us and shape the future of financial technology with Prime Finance Services. You'll have the opportunity to architect and deliver market leading solutions in a fast paced, global environment. Collaborate with top technologists across Hong Kong, Singapore, Glasgow, and Mumbai, and push the boundaries of what's possible. We value creativity, inclusion, and technical excellence-your ideas and expertise will make a real impact. If you're ready to be a driving force behind the transformation of our equity finance platform, this is your moment. Job Summary As a Lead Software Engineer in Prime Finance Services, you will play a pivotal role in enhancing and delivering trusted technology products. You will contribute to critical technology solutions across multiple technical areas, supporting our business objectives through AI driven workflows and solutions. Your work will help transform our equity finance platform, partnering with global teams to deliver innovative, secure, and scalable technology. You'll inspire a diverse team and foster a culture of creativity and inclusion. Job Responsibilities Execute creative software solutions, design, development, and technical troubleshooting Lead with an AI driven approach in daily activities Spearhead the design and development of real time, mission critical trading platforms using Java Tackle large scale engineering challenges with technologies like Kafka Innovate, troubleshoot, and optimize for performance and stability Inspire and foster a culture of creativity, inclusion, and technical excellence Collaborate with stakeholders to deliver solutions that drive business success Contribute to a team culture of diversity, opportunity, inclusion, and respect Required Qualifications, Capabilities, and Skills Expertise in GenAI usage Experience transforming Software Engineering with an AI first approach Understanding of Prime Finance business, especially Securities Lending Formal training or certification in software engineering concepts and applied experience Experience developing event driven and batch Java applications in financial services Proficiency in Java/Spring, data structures, and performance tuning (including garbage collection) Solid experience with Kafka Proficiency in testing and debugging low latency applications Hands on experience in system design, application development, testing, and operational stability Proficient in all aspects of the Software Development Life Cycle Advanced understanding of CI/CD, Application Resiliency, and Security Knowledge of industry wide technology trends and best practices Open mindedness and willingness to learn Ability to work in large, collaborative teams to achieve organizational goals Proficiency in software applications and technical processes within technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile) Preferred Qualifications, Capabilities, and Skills UI development experience in React JS
Client-facing R&D Generative AI Architect Job Info Job Identification 11937 Posting Date 03/26/2026, 11:20 AM Job Role AI Engineer-AI Solutions Architect Experience (In Years) 6-9 Job Location London Job Description EXL (NASDAQ: EXLS) is a global data and artificial intelligence ("AI") company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. EXL harnesses the power of data, AI, and deep industry knowledge to transform businesses, including the world's leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have more than 60,000 employees spanning six continents. For more information, visit . Role Title: Client-facing R&D Generative AI Architect BU/Segment: Digital Location: London, United Kingdom (Flexible hybrid working) Employment Type: Permanent Reporting to: Chief AI Architect in NYC, US East Cost time zone Summary of the role We are seeking a visionary and technically adept Assistant Vice President (AVP) in EXL's AI Innovation & R&D team to spearhead our innovative client-facing initiatives in the rapidly evolving fields of Generative and Agentic AI. This high-impact, senior consulting role requires a unique blend of deep technical expertise in AI solutioning and deployment, Fortune 500 client stakeholder management skills, and the ability to drive thought leadership. You will be instrumental in advising Insurance, Healthcare, and Banking clients, designing cutting-edge AI solutions, leading complex implementations, and shaping EXL's strategy and market presence in Generative and Agentic AI. You will collaborate closely with data science, technology, business development, and client teams to identify opportunities, architect robust solutions, and deliver transformative results. As part of your duties, you will be responsible for: AI Architecture Innovation Research & Design: Our mantra is Innovation at Speed. Focus on new innovative methods of designing and architecting AI and GenAI systems and be able to grasp and adapt monthly and weekly AI innovation coming out in the industry and apply it to our clients' use cases and needs in new modern ways. Client Advisory & Solutioning: Engage directly with senior client stakeholders (including C-suite) to understand complex business challenges, identify opportunities for GenAI and Agentic AI, and define project scope. Workshop Facilitation: Design, lead, and facilitate high-impact client workshops and strategy sessions focused on identifying and prioritizing Generative and Agentic AI use cases and roadmap development. Technical Leadership & Architecture: Design, architect, and oversee the development and deployment of scalable, robust, and cutting-edge Generative AI and sophisticated Agentic AI systems (including multi-agent workflows) for client and internal projects. Project & Engagement Leadership: Lead large-scale, complex Generative AI and Agentic AI projects from strategic conception through successful deployment, managing cross-functional teams (internal and client-side) and ensuring timely delivery of high-quality solutions. Technical Mentorship: Mentor and guide technical teams (data scientists, data and AI engineers) in best practices for advanced AI development, deployment, MLOps/LLMOps, and agentic system design. Stakeholder Management: Build and maintain strong relationships with key internal and external stakeholders, effectively communicating complex technical concepts and project progress. Quality & Best Practices: Ensure adherence to rigorous software engineering principles, Agile methodologies, and responsible AI practices throughout the solution lifecycle. Stay Current: Maintain deep expertise in the latest trends, research, tools, and technologies within Generative AI, Large Language Models (LLMs), and Agentic AI paradigms. Qualifications and experience we consider to be essential for the role: Programming & Libraries: Deep proficiency in Python and extensive experience with relevant AI/ML/NLP libraries (e.g., Hugging Face Transformers, spaCy, NLTK). AI-driven SDLC: Claude Code, Codex. Experience using Cursor, Windsurf, Replit, and Github Copilot. Google Stitch. LLM Expertise: Proven experience developing applications leveraging state-of-the-art LLMs (e.g., GPT series, Llama series, Mistral, Claude) including prompt engineering, fine-tuning, and evaluation. GenAI & Agentic Frameworks: Hands on mastery of core GenAI frameworks (e.g., LangChain, LlamaIndex, Langfuse) and practical experience with Agentic AI frameworks and concepts (e.g., AutoGen, CrewAI, LangGraph, OpenClaw, NemoClaw, agent planning, tool use integration, multi agent collaboration). AI Architecture: Deep understanding of AI/ML system architecture patterns, including microservices, event driven architectures, and patterns specific to RAG (Retrieval Augmented Generation), Graph RAG, Agentic RAG, and multi agent systems. Data: Knowledge of industry approaches to data engines and data labeling like Scale.ai and Mercor. Experience with auto data-labeling and synthetic data generation techniques. Vector Databases & Embeddings: Expertise in working with various embedding models and vector databases (e.g., Pinecone, Weaviate, Chroma, FAISS). Advanced AI Concepts: Strong grasp of advanced techniques such as complex task decomposition for agents, reasoning engines, knowledge graphs, autonomous agent design, and evaluation methodologies for complex AI systems. Software Engineering: Strong foundation in software engineering principles for building scalable, maintainable, and production ready AI systems. Cloud Platforms: Strong working knowledge and practical deployment experience on at least one major cloud platform (AWS, Azure, GCP), including their AI/ML services. LLMOps/MLOps: Expertise in designing and implementing robust MLOps/LLMOps pipelines for automated testing, CI/CD, monitoring, and governance of complex AI models and applications. Leadership & Communication Proven ability to lead and motivate diverse, global teams Excellent communication skills, capable of explaining complex AI concepts to various stakeholders Strong project and program management skills and experience working in Agile environments Qualifications Education: Bachelor's degree in Computer Science, AI, Machine Learning, or a related quantitative field. Master's or Ph.D. strongly preferred. Experience: Minimum 10 years of experience in AI/ML/Data Science, with at least 5 years in significant leadership roles involving solution architecture, team management, and project delivery. Deployment Success: Demonstrated track record of successfully architecting and deploying large-scale AI projects, preferably including complex GenAI and/or Agentic AI applications in enterprise or client settings. Consulting Background: Prior experience in technology consulting or a client facing technical specialist role within a technology provider is highly advantageous. Global Experience: Experience working effectively with global teams across multiple geographic locations is a plus. As part of a leading global Data and AI company, you can look forward to: A competitive salary with a generous bonus, private healthcare, critical illness life assurance at 4 x your annual salary, income protection insurance, and a rewarding pension. EXL provides everyday financial well being solutions, such as cash back cards, in which you can earn cashback while enjoying discounts, promotions, and offers from top retailers. We also offer a Cycle Scheme where you can save money on bikes and cycling accessories. At EXL, we are committed to providing our employees with the tools and resources they need to succeed and excel in their careers. We offer a wide range of professional and personal development opportunities. We also support a range of learning initiatives that allow our employees to build on their existing skills and knowledge. From online courses to seminars and workshops, our employees have the opportunity to enhance their skills and stay up to date with the latest trends and technologies. As an Equal Opportunity Employer, EXL is committed to diversity. Our company does not discriminate based on race, religion, colour, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, age, or disability status. EXL employees are eligible to purchase stock as part of our Employee Stock Purchase Plan (ESPP). At EXL, we offer a flexible hybrid working model that allows employees to live a balanced, healthy lifestyle while strengthening our culture of collaboration. To be considered for this role, you must already be eligible to work in the United Kingdom.
23/05/2026
Full time
Client-facing R&D Generative AI Architect Job Info Job Identification 11937 Posting Date 03/26/2026, 11:20 AM Job Role AI Engineer-AI Solutions Architect Experience (In Years) 6-9 Job Location London Job Description EXL (NASDAQ: EXLS) is a global data and artificial intelligence ("AI") company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. EXL harnesses the power of data, AI, and deep industry knowledge to transform businesses, including the world's leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have more than 60,000 employees spanning six continents. For more information, visit . Role Title: Client-facing R&D Generative AI Architect BU/Segment: Digital Location: London, United Kingdom (Flexible hybrid working) Employment Type: Permanent Reporting to: Chief AI Architect in NYC, US East Cost time zone Summary of the role We are seeking a visionary and technically adept Assistant Vice President (AVP) in EXL's AI Innovation & R&D team to spearhead our innovative client-facing initiatives in the rapidly evolving fields of Generative and Agentic AI. This high-impact, senior consulting role requires a unique blend of deep technical expertise in AI solutioning and deployment, Fortune 500 client stakeholder management skills, and the ability to drive thought leadership. You will be instrumental in advising Insurance, Healthcare, and Banking clients, designing cutting-edge AI solutions, leading complex implementations, and shaping EXL's strategy and market presence in Generative and Agentic AI. You will collaborate closely with data science, technology, business development, and client teams to identify opportunities, architect robust solutions, and deliver transformative results. As part of your duties, you will be responsible for: AI Architecture Innovation Research & Design: Our mantra is Innovation at Speed. Focus on new innovative methods of designing and architecting AI and GenAI systems and be able to grasp and adapt monthly and weekly AI innovation coming out in the industry and apply it to our clients' use cases and needs in new modern ways. Client Advisory & Solutioning: Engage directly with senior client stakeholders (including C-suite) to understand complex business challenges, identify opportunities for GenAI and Agentic AI, and define project scope. Workshop Facilitation: Design, lead, and facilitate high-impact client workshops and strategy sessions focused on identifying and prioritizing Generative and Agentic AI use cases and roadmap development. Technical Leadership & Architecture: Design, architect, and oversee the development and deployment of scalable, robust, and cutting-edge Generative AI and sophisticated Agentic AI systems (including multi-agent workflows) for client and internal projects. Project & Engagement Leadership: Lead large-scale, complex Generative AI and Agentic AI projects from strategic conception through successful deployment, managing cross-functional teams (internal and client-side) and ensuring timely delivery of high-quality solutions. Technical Mentorship: Mentor and guide technical teams (data scientists, data and AI engineers) in best practices for advanced AI development, deployment, MLOps/LLMOps, and agentic system design. Stakeholder Management: Build and maintain strong relationships with key internal and external stakeholders, effectively communicating complex technical concepts and project progress. Quality & Best Practices: Ensure adherence to rigorous software engineering principles, Agile methodologies, and responsible AI practices throughout the solution lifecycle. Stay Current: Maintain deep expertise in the latest trends, research, tools, and technologies within Generative AI, Large Language Models (LLMs), and Agentic AI paradigms. Qualifications and experience we consider to be essential for the role: Programming & Libraries: Deep proficiency in Python and extensive experience with relevant AI/ML/NLP libraries (e.g., Hugging Face Transformers, spaCy, NLTK). AI-driven SDLC: Claude Code, Codex. Experience using Cursor, Windsurf, Replit, and Github Copilot. Google Stitch. LLM Expertise: Proven experience developing applications leveraging state-of-the-art LLMs (e.g., GPT series, Llama series, Mistral, Claude) including prompt engineering, fine-tuning, and evaluation. GenAI & Agentic Frameworks: Hands on mastery of core GenAI frameworks (e.g., LangChain, LlamaIndex, Langfuse) and practical experience with Agentic AI frameworks and concepts (e.g., AutoGen, CrewAI, LangGraph, OpenClaw, NemoClaw, agent planning, tool use integration, multi agent collaboration). AI Architecture: Deep understanding of AI/ML system architecture patterns, including microservices, event driven architectures, and patterns specific to RAG (Retrieval Augmented Generation), Graph RAG, Agentic RAG, and multi agent systems. Data: Knowledge of industry approaches to data engines and data labeling like Scale.ai and Mercor. Experience with auto data-labeling and synthetic data generation techniques. Vector Databases & Embeddings: Expertise in working with various embedding models and vector databases (e.g., Pinecone, Weaviate, Chroma, FAISS). Advanced AI Concepts: Strong grasp of advanced techniques such as complex task decomposition for agents, reasoning engines, knowledge graphs, autonomous agent design, and evaluation methodologies for complex AI systems. Software Engineering: Strong foundation in software engineering principles for building scalable, maintainable, and production ready AI systems. Cloud Platforms: Strong working knowledge and practical deployment experience on at least one major cloud platform (AWS, Azure, GCP), including their AI/ML services. LLMOps/MLOps: Expertise in designing and implementing robust MLOps/LLMOps pipelines for automated testing, CI/CD, monitoring, and governance of complex AI models and applications. Leadership & Communication Proven ability to lead and motivate diverse, global teams Excellent communication skills, capable of explaining complex AI concepts to various stakeholders Strong project and program management skills and experience working in Agile environments Qualifications Education: Bachelor's degree in Computer Science, AI, Machine Learning, or a related quantitative field. Master's or Ph.D. strongly preferred. Experience: Minimum 10 years of experience in AI/ML/Data Science, with at least 5 years in significant leadership roles involving solution architecture, team management, and project delivery. Deployment Success: Demonstrated track record of successfully architecting and deploying large-scale AI projects, preferably including complex GenAI and/or Agentic AI applications in enterprise or client settings. Consulting Background: Prior experience in technology consulting or a client facing technical specialist role within a technology provider is highly advantageous. Global Experience: Experience working effectively with global teams across multiple geographic locations is a plus. As part of a leading global Data and AI company, you can look forward to: A competitive salary with a generous bonus, private healthcare, critical illness life assurance at 4 x your annual salary, income protection insurance, and a rewarding pension. EXL provides everyday financial well being solutions, such as cash back cards, in which you can earn cashback while enjoying discounts, promotions, and offers from top retailers. We also offer a Cycle Scheme where you can save money on bikes and cycling accessories. At EXL, we are committed to providing our employees with the tools and resources they need to succeed and excel in their careers. We offer a wide range of professional and personal development opportunities. We also support a range of learning initiatives that allow our employees to build on their existing skills and knowledge. From online courses to seminars and workshops, our employees have the opportunity to enhance their skills and stay up to date with the latest trends and technologies. As an Equal Opportunity Employer, EXL is committed to diversity. Our company does not discriminate based on race, religion, colour, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, age, or disability status. EXL employees are eligible to purchase stock as part of our Employee Stock Purchase Plan (ESPP). At EXL, we offer a flexible hybrid working model that allows employees to live a balanced, healthy lifestyle while strengthening our culture of collaboration. To be considered for this role, you must already be eligible to work in the United Kingdom.
The AI and Innovation department delivers robust, scalable, and secure AI solutions across bank's global platforms, acting as a business-facing service provider dedicated to advanced technology, operational excellence, and innovation. This group supports the bank's extensive footprint in Asia, the Americas, and other regions. AI and Innovation department is responsible for maintaining a comprehensive catalogue of AI products and services. In addition, the function is managing the portfolio of end user managed applications (EUMA) platforms ensuring these applications created and maintained directly by business units are governed with proper oversight, operational resilience, and alignment to technology and risk management frameworks. What you'll be doing The AI Engineer will design, develop, and support enterprise-level AI solutions in accordance with the organisation's AI governance, risk management, and strategic goals. The AI Engineer advances and integrates AI technologies throughout global platforms, strengthening business agility and regulatory alignment. This position is key to developing strategic AI capabilities that deliver business value safely, reliably, and at scale, supporting unified data foundations, embedded risk controls, and delivery. Design and implement custom AI systems, including retrieval-augmented generation (RAG), MCP based extensibility, agentic AI architectures, and context/prompt engineering. Integrate AI solutions into enterprise systems and software, ensuring technical fit and operational resilience. Productionise solutions using the Microsoft ecosystem, including M365 Copilot Extensibility, Power Platform, and Azure-based AI engineering. Conduct AI suitability assessments, proof-of-value evaluations, and contribute to prioritisation of use cases. Deliver AI solutions through a full SDLC framework, ensuring compliance with change management, documentation, testing, and release processes. Apply the organisation's AI governance model in full, supporting due diligence, risk assessment, documentation, explainability, and monitoring requirements for all AI systems reflecting the bank's emphasis on secure, ethical, compliant AI adoption. What you'll need to be successful We're looking for the following skills and experience. If you don't have all of these but think you could be a good fit for the role, get in touch. Demonstrated experience designing and delivering enterprise-scale AI or GenAI solutions. Strong working knowledge of AI/ML, NLP, LLMs, embeddings, agentic systems, RAG, MCP, and associated design patterns. Deep familiarity with Microsoft enterprise stack and Azure-based AI tooling. Exposure to CI/CD pipelines, testing frameworks, model governance and monitoring practices. Solid understanding of AI governance, model risk management and responsible AI principles including transparency, fairness, explainability and data privacy. Strong analytical skills, with ability to simplify complex concepts into actionable solutions. Why should you join us? ICBC Standard Bank Plc (ICBCS) is a leading financial markets and commodities bank, driven to deliver the right outcomes for our stakeholders, clients, counterparties and markets. We benefit from a unique Chinese and African parentage and an unrivalled global network and expertise. We're headquartered in London, with operations in Shanghai, Singapore and New York. We're a diverse and close-knit global team. We put people first, giving talented, self-driven professionals the flexibility, rewards and freedom to grow their expertise and realise their potential. Our vision statement, "Be Yourself, Succeed Together" underpins our drive for an open and transparent culture which values difference, enabling everyone to thrive whilst being themselves. We have an active E, D&I forum and we're growing other employee network groups, including for women and neurodiversity. We're committed to the principle of equal opportunities. All applicants will be treated equally and will be considered on their merits and skills without discrimination. What's in it for you? Financial market-based pay based on skills and experience, discretionary annual bonus, pension contribution 10% (employee contribution 5%), travel insurance, life assurance and income replacement insurance. Hybrid working the option to work remotely up to two days per week, depending on the role. Family - 6 months fully paid maternity leave and enhanced shared parental leave. Coaching for family leave returners and access to emergency care via My Family Care. Miscarriage and menopause policies. Wellbeing - private medical insurance, Bike2Work scheme, health and fitness subsidy, holiday exchange and an Employee Assistance Programme. Community paid volunteering leave and Give As You Earn scheme. Vibrant CSR and engagement forums and fundraising for our charity partners. Development a suite of opportunities to build the skills you need to excel in your role If you're excited about becoming part of our team, get in touch. We'd love to hear from you! ICBCS has appointed Robert Walters Outsourcing (RWO) to manage its recruitment process and Preferred Supplier List (PSL). Unsolicited CVs sent directly to ICBCS or its staff from non-PSL agencies will not be accepted and no fees will be paid for such submissions.
23/05/2026
Full time
The AI and Innovation department delivers robust, scalable, and secure AI solutions across bank's global platforms, acting as a business-facing service provider dedicated to advanced technology, operational excellence, and innovation. This group supports the bank's extensive footprint in Asia, the Americas, and other regions. AI and Innovation department is responsible for maintaining a comprehensive catalogue of AI products and services. In addition, the function is managing the portfolio of end user managed applications (EUMA) platforms ensuring these applications created and maintained directly by business units are governed with proper oversight, operational resilience, and alignment to technology and risk management frameworks. What you'll be doing The AI Engineer will design, develop, and support enterprise-level AI solutions in accordance with the organisation's AI governance, risk management, and strategic goals. The AI Engineer advances and integrates AI technologies throughout global platforms, strengthening business agility and regulatory alignment. This position is key to developing strategic AI capabilities that deliver business value safely, reliably, and at scale, supporting unified data foundations, embedded risk controls, and delivery. Design and implement custom AI systems, including retrieval-augmented generation (RAG), MCP based extensibility, agentic AI architectures, and context/prompt engineering. Integrate AI solutions into enterprise systems and software, ensuring technical fit and operational resilience. Productionise solutions using the Microsoft ecosystem, including M365 Copilot Extensibility, Power Platform, and Azure-based AI engineering. Conduct AI suitability assessments, proof-of-value evaluations, and contribute to prioritisation of use cases. Deliver AI solutions through a full SDLC framework, ensuring compliance with change management, documentation, testing, and release processes. Apply the organisation's AI governance model in full, supporting due diligence, risk assessment, documentation, explainability, and monitoring requirements for all AI systems reflecting the bank's emphasis on secure, ethical, compliant AI adoption. What you'll need to be successful We're looking for the following skills and experience. If you don't have all of these but think you could be a good fit for the role, get in touch. Demonstrated experience designing and delivering enterprise-scale AI or GenAI solutions. Strong working knowledge of AI/ML, NLP, LLMs, embeddings, agentic systems, RAG, MCP, and associated design patterns. Deep familiarity with Microsoft enterprise stack and Azure-based AI tooling. Exposure to CI/CD pipelines, testing frameworks, model governance and monitoring practices. Solid understanding of AI governance, model risk management and responsible AI principles including transparency, fairness, explainability and data privacy. Strong analytical skills, with ability to simplify complex concepts into actionable solutions. Why should you join us? ICBC Standard Bank Plc (ICBCS) is a leading financial markets and commodities bank, driven to deliver the right outcomes for our stakeholders, clients, counterparties and markets. We benefit from a unique Chinese and African parentage and an unrivalled global network and expertise. We're headquartered in London, with operations in Shanghai, Singapore and New York. We're a diverse and close-knit global team. We put people first, giving talented, self-driven professionals the flexibility, rewards and freedom to grow their expertise and realise their potential. Our vision statement, "Be Yourself, Succeed Together" underpins our drive for an open and transparent culture which values difference, enabling everyone to thrive whilst being themselves. We have an active E, D&I forum and we're growing other employee network groups, including for women and neurodiversity. We're committed to the principle of equal opportunities. All applicants will be treated equally and will be considered on their merits and skills without discrimination. What's in it for you? Financial market-based pay based on skills and experience, discretionary annual bonus, pension contribution 10% (employee contribution 5%), travel insurance, life assurance and income replacement insurance. Hybrid working the option to work remotely up to two days per week, depending on the role. Family - 6 months fully paid maternity leave and enhanced shared parental leave. Coaching for family leave returners and access to emergency care via My Family Care. Miscarriage and menopause policies. Wellbeing - private medical insurance, Bike2Work scheme, health and fitness subsidy, holiday exchange and an Employee Assistance Programme. Community paid volunteering leave and Give As You Earn scheme. Vibrant CSR and engagement forums and fundraising for our charity partners. Development a suite of opportunities to build the skills you need to excel in your role If you're excited about becoming part of our team, get in touch. We'd love to hear from you! ICBCS has appointed Robert Walters Outsourcing (RWO) to manage its recruitment process and Preferred Supplier List (PSL). Unsolicited CVs sent directly to ICBCS or its staff from non-PSL agencies will not be accepted and no fees will be paid for such submissions.
A leading consulting firm in London is seeking a Data & AI Solution Architect to design scalable platforms integrating modern data engineering with AI capabilities. The ideal candidate will have proven experience in creating GenAI-enabled architectures, strong software engineering skills, and the ability to lead technical teams. This role involves driving data quality, mentoring peers, and contributing to business transformation through innovative solutions. Join a culture of collaboration and growth.
23/05/2026
Full time
A leading consulting firm in London is seeking a Data & AI Solution Architect to design scalable platforms integrating modern data engineering with AI capabilities. The ideal candidate will have proven experience in creating GenAI-enabled architectures, strong software engineering skills, and the ability to lead technical teams. This role involves driving data quality, mentoring peers, and contributing to business transformation through innovative solutions. Join a culture of collaboration and growth.
Data & AI Solution Architect - Kearney Activate Full-time Europe London Job Description Architect scalable, modular platforms that integrate modern data engineering with GenAI and Agentic AI capabilities. Design and build end-to-end ingestion, transformation, and classification pipelines across structured and semi structured data sources (e.g., Excel, JSON). Implement RAG (Retrieval-Augmented Generation) pipelines using intelligent chunking strategies and multimodal retrieval (e.g., BM25, dense vector search, graph-based, structured data, and vision-based inputs). Drive data quality through embedded validation, monitoring, and automated reporting frameworks. Enable in-context learning and enterprise-scale agent design using different prompting techniques (like ReAct , Tree-of-Thoughts, Reflexion , or hybrid reasoning patterns) for automation, insight generation, and decision support. Lead exploratory data analysis (EDA), dynamic source classification, and ML model integration for advanced analytical and operational use cases. Mentor and grow a high-performing team of architects, engineers, and analysts-fostering innovation, cross functional collaboration, and delivery excellence. Champion AI and data architecture as strategic enablers of business transformation-linking technology decisions directly to measurable client outcomes. Technologies & Concepts Programming & APIs: PySpark , Python, FastAPI , FastMCP , SQL, OAuth2 AI Architectures: Retrieval-Augmented Generation, In-Context Learning, Agent Design, Function Calling, LLM Fine-Tuning & Adaptation Strategies Data Analytics & Quality: Exploratory Data Analysis, advanced classification, data quality reporting and observability Enterprise Integration: Secure API architecture, user feedback loops, instrumentation with Langfuse for traceability, MLOps and LLMOps frameworks to operationalise and govern ML/LLM pipelines across environments Your Profile Proven experience designing and scaling GenAI-enabled and data-driven architectures. Strong grounding in software engineering principles and AI/ML enablement. Demonstrated ability to lead, mentor, and grow cross-functional technical teams. Track record of delivering innovative, scalable solutions that drive clear business value. Exceptional communication skills. Passion for shaping intelligent systems and applying emerging technologies to solve real-world challenges. Why Join? Strategic Impact - Shape the commercial growth engine of one of Kearney's fastest-growing digital businesses. Collaborative Ecosystem - Work with top technology partners and world-class consulting teams. Growth & Development - Access Kearney's global learning programs and partner certifications. Culture - Join a hands-on, high-energy, and inclusive environment focused on innovation and impact. Purpose - Help global enterprises unlock value through trusted data foundations, AI enablement, and digital transformation. Equal Employment Opportunity and Non-discrimination Kearney Activate prides itself on providing a culture that allows employees to bring their best selves to work every day. Our people can feel comfortable, confident, and joyful to do great things for our firm, our teams, and our clients. Kearney Activate aims to build diverse capabilities to help our clients solve their most mission critical problems. Kearney Activate is committed to building a diverse, unbiased and inclusive workforce. Kearney Activate is an equal opportunity employer; we recruit, hire, train, promote, develop, and provide other conditions of employment without regard to a person's gender identity or expression, sexual orientation, race, religion, age, national origin, disability, marital status, pregnancy status, veteran status, genetic information or any other differences consistent with applicable laws. This includes providing reasonable accommodation for disabilities, or religious beliefs and practices. Members of communities historically underrepresented in analytics and consulting are encouraged to apply.
23/05/2026
Full time
Data & AI Solution Architect - Kearney Activate Full-time Europe London Job Description Architect scalable, modular platforms that integrate modern data engineering with GenAI and Agentic AI capabilities. Design and build end-to-end ingestion, transformation, and classification pipelines across structured and semi structured data sources (e.g., Excel, JSON). Implement RAG (Retrieval-Augmented Generation) pipelines using intelligent chunking strategies and multimodal retrieval (e.g., BM25, dense vector search, graph-based, structured data, and vision-based inputs). Drive data quality through embedded validation, monitoring, and automated reporting frameworks. Enable in-context learning and enterprise-scale agent design using different prompting techniques (like ReAct , Tree-of-Thoughts, Reflexion , or hybrid reasoning patterns) for automation, insight generation, and decision support. Lead exploratory data analysis (EDA), dynamic source classification, and ML model integration for advanced analytical and operational use cases. Mentor and grow a high-performing team of architects, engineers, and analysts-fostering innovation, cross functional collaboration, and delivery excellence. Champion AI and data architecture as strategic enablers of business transformation-linking technology decisions directly to measurable client outcomes. Technologies & Concepts Programming & APIs: PySpark , Python, FastAPI , FastMCP , SQL, OAuth2 AI Architectures: Retrieval-Augmented Generation, In-Context Learning, Agent Design, Function Calling, LLM Fine-Tuning & Adaptation Strategies Data Analytics & Quality: Exploratory Data Analysis, advanced classification, data quality reporting and observability Enterprise Integration: Secure API architecture, user feedback loops, instrumentation with Langfuse for traceability, MLOps and LLMOps frameworks to operationalise and govern ML/LLM pipelines across environments Your Profile Proven experience designing and scaling GenAI-enabled and data-driven architectures. Strong grounding in software engineering principles and AI/ML enablement. Demonstrated ability to lead, mentor, and grow cross-functional technical teams. Track record of delivering innovative, scalable solutions that drive clear business value. Exceptional communication skills. Passion for shaping intelligent systems and applying emerging technologies to solve real-world challenges. Why Join? Strategic Impact - Shape the commercial growth engine of one of Kearney's fastest-growing digital businesses. Collaborative Ecosystem - Work with top technology partners and world-class consulting teams. Growth & Development - Access Kearney's global learning programs and partner certifications. Culture - Join a hands-on, high-energy, and inclusive environment focused on innovation and impact. Purpose - Help global enterprises unlock value through trusted data foundations, AI enablement, and digital transformation. Equal Employment Opportunity and Non-discrimination Kearney Activate prides itself on providing a culture that allows employees to bring their best selves to work every day. Our people can feel comfortable, confident, and joyful to do great things for our firm, our teams, and our clients. Kearney Activate aims to build diverse capabilities to help our clients solve their most mission critical problems. Kearney Activate is committed to building a diverse, unbiased and inclusive workforce. Kearney Activate is an equal opportunity employer; we recruit, hire, train, promote, develop, and provide other conditions of employment without regard to a person's gender identity or expression, sexual orientation, race, religion, age, national origin, disability, marital status, pregnancy status, veteran status, genetic information or any other differences consistent with applicable laws. This includes providing reasonable accommodation for disabilities, or religious beliefs and practices. Members of communities historically underrepresented in analytics and consulting are encouraged to apply.
A leading global bank seeks a Software Engineer III to develop advanced AI and machine learning solutions. This role involves collaborating in a diverse team environment to deliver innovative banking experiences. Candidates should possess a strong background in AI/ML, coding proficiency in Python, and experience deploying models in production. The ideal candidate values collaboration and continuous learning, and is eager to innovate in the financial sector. Join us to drive significant impact through technology.
23/05/2026
Full time
A leading global bank seeks a Software Engineer III to develop advanced AI and machine learning solutions. This role involves collaborating in a diverse team environment to deliver innovative banking experiences. Candidates should possess a strong background in AI/ML, coding proficiency in Python, and experience deploying models in production. The ideal candidate values collaboration and continuous learning, and is eager to innovate in the financial sector. Join us to drive significant impact through technology.
