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As the UK's leading Social Enterprise, we move lives forward every day by building, managing and supporting thriving Communities. From new homes, social housing and student accommodation to leisure, education and Community initiatives, our work makes a positive difference to millions of People across the UK. And that takes People who care about doing the right thing. People who are ambitious, ready to grow and motivated to make a difference through the work they do. We're?looking for?Colleagues who bring energy,?curiosity?and ownership. People who enjoy being challenged, support those around them and want to keep raising the bar. Because when we perform at our best, we create more opportunities to invest in our Customers, our?Communities?and each other. Experience matters, but?it's?only part of the story. If you share our values and want to build a career where your work has real impact,?we'd?love to hear from you. More about the team The Service Management team are the foundation of the IT function, responsible for delivering a high-quality front of house IT service that continuously improves the customer experience. This is an exciting time to join a growing business function and join an area which is responsible for the continually improving the delivery of IT services and performance.? More about your role? Reporting to the Service Desk Manager, you will play a key role in providing technical support to end users and resolving any IT issues which may arise. You?will possess a positive attitude and be comfortable liaising with stakeholders across the wider business. This will be done over the phone, online or face to face. You will also adhere to policies and procedures as well as security protocols to ensure compliance and protect sensitive data. In addition, you will accurately maintain documentation of incidents and solutions to facilitate efficient problem solving and knowledge sharing. The working shifts are for this role are either 8am to 4pm or 9am to 5pm.? At Places for People, are we committed to a safe working environment so a basic DBS check is mandatory. More about you? The ideal candidate will have a proven track record of working in a Service Desk role. You will be comfortable dealing with stakeholders at varying levels of experience and be able to resolve issues in a timely and efficient manner. Experience & Skills • Experience of performing a Service Desk role,, • Knowledge of MS Products including O365,, • Experience with ITSM tools such as Jira Service Management, ServiceNow, and ManageEngine., • Experience with technologies such as Microsoft Intune, Microsoft Entra ID, and Active Directory, • Excellent communication skills and proven ability to liaise with a range of stakeholders. The benefits We know rewarding work deserves rewarding benefits.?That's?why, alongside a competitive salary,?you'll?have access to a package designed to support you at work and beyond. You'll?receive: • Competitive salary, with a salary review yearly, • Pension with matched contributions up to 7%, • Excellent holiday package – up to 35 days annual leave with the option to buy or sell leave, • Cashback plan for healthcare costs – up to £500 saving per year, • A bonus scheme for all colleagues at 2%, • Training and development, • Extra perks including huge discounts and offers from shops, cinemas and much?more? What's next? If you meet the criteria and are ready to make the next step in your career then click apply. You will be redirected to our careers site where you can discover more about the role, read a full job description and apply directly to us. As part of our commitment to diversity and inclusion, we offer a guaranteed interview to candidates who are disabled, neurodiverse, or have served in the Armed Forces, provided they meet the essential criteria for the role. If you would like to be considered under this scheme, please indicate this in your application. We are dedicated to creating a supportive and accessible recruitment process for all. We are committed to creating an inclusive and accessible recruitment process. If you require any reasonable adjustments to support your application or interview experience, please let us know. We're happy to work with you to ensure you have the opportunity to perform at your best. If you are a Places for People customer and you're looking for support with your application, please contact our skills and employment team on . We understand the importance of a supportive and inclusive work culture so please talk to us at interview about flexibility you may need. We can't promise to give you exactly what you want, but we promise not to judge you for asking. If you are a recruitment agency please note we operate a PSL and do not take cold calls Safeguarding At Places for People, safeguarding is everyone's responsibility. We are committed to creating safe communities for our customers and colleagues by protecting children, young people, and adults at risk from harm, abuse, and neglect. We follow robust safeguarding policies and procedures, ensuring all employees, volunteers, and contractors uphold the highest standards of safeguarding and accountability. Our recruitment process includes pre-employment checks, including Disclosure and Barring Service (DBS) checks where applicable, to promote a safe and secure working environment. By joining Places for People, you are expected to contribute to our safeguarding culture, following our policies and reporting concerns to protect those in our communities JBRP1_UKTJ

GB Intelligence is redefining how Global Banking operates—bringing AI-driven insights and workflow automation into the core of deal origination, market and sector intelligence, and client coverage. This is a rare opportunity to build production-grade AI capabilities that directly shape how bankers work, at the scale and complexity that only JPMorganChase can offer. You'll grow alongside a team of engineers who are passionate about turning cutting-edge technology into trusted, real-world impact. As a Senior Lead Software Engineer at JPMorganChase within GB Intelligence, you will be a hands-on engineer building AI capabilities that integrate directly into bankers' daily workflows. You will engineer secure services and data flows, develop agentic workflows, and help transform complex client, deal, and market data into trusted insights—operationalized across downstream systems to accelerate execution, strengthen risk discipline, and elevate the day-to-day experience for Global Banking teams. Your work will sit at the intersection of modern AI engineering and enterprise-grade reliability, where the quality of what you build has direct business consequence. Job responsibilities • Design and implement complex backend services and APIs in Python, applying sound engineering judgment and pragmatic architecture decisions that scale across production environments, • Build and refine agentic capabilities using the Smart SDK, including tool integration, orchestration patterns, and safety and reliability guardrails suitable for production use, • Develop and optimize retrieval-augmented generation (RAG) pipelines end-to-end—covering ingestion, chunking, embeddings, retrieval, reranking, and prompt/response patterns—improving relevance, latency, and robustness with OpenSearch and continuous measurement, • Implement and maintain large language model (LLM) and agent evaluation and monitoring frameworks, including offline test sets, automated regression checks, relevance and grounding scoring, and production dashboards to continuously improve quality, safety, latency, and cost, • Engineer secure, reliable integrations with systems bankers rely on daily, ensuring traceability and operational readiness across the platform, • Write secure, high-quality production code and raise the bar through code reviews, debugging, and hands-on mentorship—improving maintainability, performance, and consistency across the codebase, • Drive operational excellence by identifying recurring issues and implementing automation, preventative controls, and reliability improvements to reduce toil and improve system stability, • Engineer data and search solutions using AWS Aurora and OpenSearch—including schema design, migrations, query tuning, indexing strategies, and query relevance tuning—to support AI and analytics workflows, • Contribute to cloud-native engineering on AWS, partnering on infrastructure-as-code with Terraform and improving deployment safety, environment consistency, and observability, • Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards, • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation Required qualifications, capabilities, and skills • Formal training or certification on software engineering concepts and advanced applied experience, • Strong hands-on expertise in Python, building production backend systems including API and service development, testing practices, performance debugging, and dependency management, • Demonstrated experience building agentic and LLM-powered capabilities, including tool integration, orchestration patterns, and production-grade safety and reliability guardrails, • Experience implementing evaluation and measurement loops for LLM and agent quality, including relevance and grounding checks, regression testing, and reliability and latency monitoring, • Experience across the full Software Development Life Cycle (SDLC), from design and implementation through testing, deployment, and production support, • Strong written and verbal communication skills, with the ability to explain technical tradeoffs clearly to cross-functional partners, • Proficiency with AWS, Terraform, GitHub, Jenkins, and modern developer tooling, • Experience with containerization, including Docker and container orchestration platforms such as Amazon Elastic Container Service (ECS), Amazon Elastic Kubernetes Service (EKS), or Kubernetes, • Demonstrated expertise with monitoring and observability tools such as Splunk, Datadog, Dynatrace, or CloudWatch, with proven ability to influence high-performing teams by driving innovation, • Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security, • Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices Preferred qualifications, capabilities, and skills • Experience with Redis in production services, including caching, rate limiting, and coordination patterns, • Experience scaling and hardening RAG systems, including relevance tuning, prompt and response pattern optimization, and robustness improvements, • Prior experience integrating AI services with enterprise systems used in banking or financial services workflows, • Exposure to agile engineering practices including continuous integration and delivery (CI/CD), application resiliency, and secure engineering J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. Lead an agile engineering pod to build the AI capabilities shaping the future of how bankers work #J-18808-Ljbffr

Are you a senior Python engineer who wants to work at the intersection of data platforms and applied AI? This is your opportunity to join a small, high-impact team building something new from the ground up — where your decisions shape the architecture, not just the backlog. At JPMorganChase, we invest in engineers who are curious, pragmatic, and ready to grow into emerging technology stacks. As a Senior Lead Software Engineer at JPMorganChase within the Corporate Technology Data and Analytics Services team, you will be a founding contributor to the Context Plane — a greenfield platform that connects the firm's data mesh and knowledge sources to AI agents and large language model tools. You will own components end-to-end, from ingestion pipelines to governed retrieval services, and your engineering instincts will directly influence how the platform evolves. This is a hands-on senior role with real architectural scope, active cross-functional collaboration, and strong support for internal mobility and upskilling. • Design, build, and maintain backend services and data pipelines in Python that load firm knowledge into a knowledge graph and vector store, • Build and evolve the serving layer — including graph and vector retrieval, GraphRAG, response assembly, and a Model Context Protocol endpoint consumed by downstream agents, • Extract and promote reusable components into a shared core library, reducing duplication across the platform's repositories, • Integrate with data sources and services across the firm, including enterprise AI and large language model gateways, • Own quality across your components: automated testing, code reviews, observability, and resilient, secure service design, • Partner with Corporate Technology AI, product, and data science colleagues to translate concrete use cases into working, measurable capabilities, • Contribute to design discussions and agile ceremonies, and actively mentor teammates to raise the engineering bar across the team, • Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team, • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation, • Formal training or certification on software engineering concepts and advanced applied experience, • Demonstrated expertise building production-grade backend services and data pipelines in Python, • Strong command of API design principles (e.g., FastAPI), automated testing, CI/CD practices, and source control workflows, • Experience designing and building data ingestion or integration pipelines at scale, with attention to data quality and resilience, • Proficiency working with cloud infrastructure (AWS) and containerized services (Docker/ECS), • Ability to own technical components end-to-end — from design through deployment and observability, • Strong collaboration skills with the ability to work across engineering, product, and data science disciplines, • Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices • Experience with graph databases and Cypher query language (e.g., Neo4j) or a strong interest in graph data modeling, • Familiarity with vector search, embeddings, or retrieval-augmented generation (RAG) patterns, • Exposure to large language model serving, agentic patterns (tool/function calling, Model Context Protocol), or platforms such as Bedrock or Azure OpenAI, • Experience with Databricks, MongoDB, or large-scale extract, transform, and load / data integration workflows, • Knowledge of data governance, lineage, and entitlements concepts in an enterprise environment #J-18808-Ljbffr

Are you a senior Python engineer who wants to work at the intersection of data platforms and applied AI? This is your opportunity to join a small, high-impact team building something new from the ground up — where your decisions shape the architecture, not just the backlog. At JPMorganChase, we invest in engineers who are curious, pragmatic, and ready to grow into emerging technology stacks. As a Senior Lead Software Engineer at JPMorganChase within the Corporate Technology Data and Analytics Services team, you will be a founding contributor to the Context Plane — a greenfield platform that connects the firm's data mesh and knowledge sources to AI agents and large language model tools. You will own components end-to-end, from ingestion pipelines to governed retrieval services, and your engineering instincts will directly influence how the platform evolves. This is a hands‑on senior role with real architectural scope, active cross‑functional collaboration, and strong support for internal mobility and upskilling. • Design, build, and maintain backend services and data pipelines in Python that load firm knowledge into a knowledge graph and vector store, • Build and evolve the serving layer — including graph and vector retrieval, GraphRAG, response assembly, and a Model Context Protocol endpoint consumed by downstream agents, • Extract and promote reusable components into a shared core library, reducing duplication across the platform's repositories, • Integrate with data sources and services across the firm, including enterprise AI and large language model gateways, • Own quality across your components: automated testing, code reviews, observability, and resilient, secure service design, • Partner with Corporate Technology AI, product, and data science colleagues to translate concrete use cases into working, measurable capabilities, • Contribute to design discussions and agile ceremonies, and actively mentor teammates to raise the engineering bar across the team, • Drives team adoption of enterprise-authorized AI‑assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI‑assisted code review/refactoring, test strategy acceleration, incident/root‑cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team, • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI‑assisted development and automation capabilities, to improve the value realized by automation, • Formal training or certification on software engineering concepts and advanced applied experience, • Demonstrated expertise building production‑grade backend services and data pipelines in Python, • Strong command of API design principles (e.g., FastAPI), automated testing, CI/CD practices, and source control workflows, • Experience designing and building data ingestion or integration pipelines at scale, with attention to data quality and resilience, • Proficiency working with cloud infrastructure (AWS) and containerized services (Docker/ECS), • Ability to own technical components end‑to‑end — from design through deployment and observability, • Strong collaboration skills with the ability to work across engineering, product, and data science disciplines, • Hands‑on experience using enterprise-authorized AI‑assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI‑generated outputs for correctness, performance, and security Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices • Experience with graph databases and Cypher query language (e.g., Neo4j) or a strong interest in graph data modeling, • Familiarity with vector search, embeddings, or retrieval‑augmented generation (RAG) patterns, • Exposure to large language model serving, agentic patterns (tool/function calling, Model Context Protocol), or platforms such as Bedrock or Azure OpenAI, • Experience with Databricks, MongoDB, or large‑scale extract, transform, and load / data integration workflows, • Knowledge of data governance, lineage, and entitlements concepts in an enterprise environment J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first‑class business in a first‑class way approach to serving clients drives everything we do. We strive to build trusted, long‑term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success. Shape the future of AI‑powered data platforms — build the Context Plane that connects firm knowledge to intelligent agents. of a small senior engineering team shaping it. #J-18808-Ljbffr

GB Intelligence is redefining how Global Banking operates—bringing AI-driven insights and workflow automation into the core of deal origination, market and sector intelligence, and client coverage. This is a rare opportunity to build production-grade AI capabilities that directly shape how bankers work, at the scale and complexity that only JPMorganChase can offer. You'll grow alongside a team of engineers who are passionate about turning cutting-edge technology into trusted, real-world impact. As a Senior Lead Software Engineer at JPMorganChase within GB Intelligence, you will be a hands-on engineer building AI capabilities that integrate directly into bankers' daily workflows. You will engineer secure services and data flows, develop agentic workflows, and help transform complex client, deal, and market data into trusted insights—operationalized across downstream systems to accelerate execution, strengthen risk discipline, and elevate the day-to-day experience for Global Banking teams. Your work will sit at the intersection of modern AI engineering and enterprise-grade reliability, where the quality of what you build has direct business consequence. • Design and implement complex backend services and APIs in Python, applying sound engineering judgment and pragmatic architecture decisions that scale across production environments, • Build and refine agentic capabilities using the Smart SDK, including tool integration, orchestration patterns, and safety and reliability guardrails suitable for production use, • Develop and optimize retrieval-augmented generation (RAG) pipelines end-to-end—covering ingestion, chunking, embeddings, retrieval, reranking, and prompt/response patterns—improving relevance, latency, and robustness with OpenSearch and continuous measurement, • Implement and maintain large language model (LLM) and agent evaluation and monitoring frameworks, including offline test sets, automated regression checks, relevance and grounding scoring, and production dashboards to continuously improve quality, safety, latency, and cost, • Engineer secure, reliable integrations with systems bankers rely on daily, ensuring traceability and operational readiness across the platform, • Write secure, high-quality production code and raise the bar through code reviews, debugging, and hands-on mentorship—improving maintainability, performance, and consistency across the codebase, • Drive operational excellence by identifying recurring issues and implementing automation, preventative controls, and reliability improvements to reduce toil and improve system stability, • Engineer data and search solutions using AWS Aurora and OpenSearch—including schema design, migrations, query tuning, indexing strategies, and query relevance tuning—to support AI and analytics workflows, • Contribute to cloud-native engineering on AWS, partnering on infrastructure-as-code with Terraform and improving deployment safety, environment consistency, and observability, • Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards, • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation, • Formal training or certification on software engineering concepts and advanced applied experience, • Strong hands-on expertise in Python, building production backend systems including API and service development, testing practices, performance debugging, and dependency management, • Demonstrated experience building agentic and LLM-powered capabilities, including tool integration, orchestration patterns, and production-grade safety and reliability guardrails, • Experience implementing evaluation and measurement loops for LLM and agent quality, including relevance and grounding checks, regression testing, and reliability and latency monitoring, • Experience across the full Software Development Life Cycle (SDLC), from design and implementation through testing, deployment, and production support, • Strong written and verbal communication skills, with the ability to explain technical tradeoffs clearly to cross-functional partners, • Proficiency with AWS, Terraform, GitHub, Jenkins, and modern developer tooling, • Experience with containerization, including Docker and container orchestration platforms such as Amazon Elastic Container Service (ECS), Amazon Elastic Kubernetes Service (EKS), or Kubernetes, • Demonstrated expertise with monitoring and observability tools such as Splunk, Datadog, Dynatrace, or CloudWatch, with proven ability to influence high-performing teams by driving innovation, • Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security, • Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices, • Experience with Redis in production services, including caching, rate limiting, and coordination patterns, • Experience scaling and hardening RAG systems, including relevance tuning, prompt and response pattern optimization, and robustness improvements, • Prior experience integrating AI services with enterprise systems used in banking or financial services workflows, • Exposure to agile engineering practices including continuous integration and delivery (CI/CD), application resiliency, and secure engineering #J-18808-Ljbffr

As the UK's leading Social Enterprise, we move lives forward every day by building, managing and supporting thriving Communities. From new homes, social housing and student accommodation to leisure, education and Community initiatives, our work makes a positive difference to millions of People across the UK. And that takes People who care about doing the right thing. People who are ambitious, ready to grow and motivated to make a difference through the work they do. We're looking for Colleagues who bring energy, curiosity and ownership. People who enjoy being challenged, support those around them and want to keep raising the bar. Because when we perform at our best, we create more opportunities to invest in our Customers, our Communities and each other. Experience matters, but it's only part of the story. If you share our values and want to build a career where your work has real impact, we'd love to hear from you. More about your role As a Housing & Wellbeing Advisor, you'll play a vital role in supporting older people to live independently, safely and confidently across 3 of our Later Life Living services in the Farnworth and Horwich areas. You'll be at the heart of creating a welcoming, vibrant community where customers feel valued, connected and empowered to maintain their independence. You'll build strong relationships with customers, their families, local partners and support agencies, ensuring individual needs are understood and regularly reviewed. You'll coordinate support services, promote customer engagement, organise activities that reduce social isolation and encourage active participation within the community. Alongside delivering an excellent customer experience, you'll manage all aspects of tenancy sustainment including lettings, rent and service charge administration, void management and property inspections. You'll oversee health and safety compliance, support building maintenance and work closely with contractors and care providers to ensure a safe, high-quality environment for customers. You'll also represent Living Plus with key external stakeholders, help promote the service locally, support occupancy targets and contribute ideas that enhance service delivery and strengthen our customer offer. Essential criteria • Strong face-to-face customer service background, • Previous experience working in housing, supported housing, retirement living, health and social care or a customer-focused environment supporting older people is desirable, • Experience or knowledge of managing tenancies, customer support plans, property allocations or housing-related services., • Knowledge of safeguarding, health and safety requirements, confidentiality and data protection legislation., • Experience working with external agencies, care providers or community organisations to coordinate customer support. More about you You'll be passionate about delivering outstanding services to older people and committed to helping customers live independently for as long as possible. You'll be confident building relationships with a wide range of people and able to work collaboratively with colleagues, families, support agencies and community partners. You'll be organised, proactive and comfortable managing a varied workload, balancing tenancy management, wellbeing support and compliance responsibilities. A solution-focused approach, strong attention to detail and a genuine desire to make a positive difference in customers' lives will help you succeed in this role. Previous experience within housing, retirement living, supported living, social care or a similar customer-facing environment would be highly desirable. This is a fixed term role to 31st March 2027. What you'll get We know rewarding work deserves rewarding benefits. That's why, alongside a competitive salary, you'll have access to a package designed to support you at work and beyond. You'll receive: • Pension with matched contributions up to 7%, • Bonus scheme for colleagues at 2%, • 35 days holiday (including bank holidays) pro rata with the option to buy or sell days, • Healthcare cashback plan for everyday medical costs, with private GP and health support services available, • Comprehensive wellbeing support including counselling, flu jabs, our Employee Assistance Programme (EAP) and access to our Wellbeing Hub, supporting your mental, physical and financial wellbeing, • Access to Our Place Rewards, offering discounts and savings on groceries, travel, shopping, home products and other lifestyle purchases, • Ongoing training, professional qualifications, internal development programmes and career progression opportunities, • Recognition programmes including Star Awards and Colleague Awards, celebrating achievements and recognising great work, • Strong focus on inclusion, wellbeing and colleague engagement, • Free membership to Places Gyms, • Life Assurance to provide financial security for your loved ones, alongside access to will writing services to help you plan for the future with confidence What's next? If you meet the criteria and are ready to make the next step in your career then click apply. You will be redirected to our careers site where you can discover more about the role, read a full job description and apply directly to us. As part of our commitment to diversity and inclusion, we offer a guaranteed interview to candidates who are disabled, neurodiverse, or have served in the Armed Forces, provided they meet the essential criteria for the role. If you would like to be considered under this scheme, please indicate this in your application. We are dedicated to creating a supportive and accessible recruitment process for all. We are committed to creating an inclusive and accessible recruitment process. If you require any reasonable adjustments to support your application or interview experience, please let us know. We're happy to work with you to ensure you have the opportunity to perform at your best. If you are a Places for People customer and you're looking for support with your application, please contact our skills and employment team on . We understand the importance of a supportive and inclusive work culture so please talk to us at interview about flexibility you may need. We can't promise to give you exactly what you want, but we promise not to judge you for asking. For this role we are open to discussing the possibility of reduced hours, flexible start and finish times or compressed hours. If you are a recruitment agency please note we operate a PSL and do not take cold calls Safeguarding At Places for People, safeguarding is everyone's responsibility. We are committed to creating safe communities for our customers and colleagues by protecting children, young people, and adults at risk from harm, abuse, and neglect. We follow robust safeguarding policies and procedures, ensuring all employees, volunteers, and contractors uphold the highest standards of safeguarding and accountability. Our recruitment process includes pre-employment checks, including Disclosure and Barring Service (DBS) checks where applicable, to promote a safe and secure working environment. By joining Places for People, you are expected to contribute to our safeguarding culture, following our policies and reporting concerns to protect those in our communities JBRP1_UKTJ

This job is with Skyscanner, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About Skyscanner Everyone loves travelling, but planning is not without its challenges ✈️. That's why we've spent 20 years building tools that turn travel-planning chaos into a breeze. Today, around 160 million travellers count on us every month to skip the whole "47 browser tabs open" phase and find flights, cars, and hotels quickly and easily 💻. Joining Skyscanner means becoming part of a global brand that's striving to become the planet's go-to travel hack accessible for all 🌍. Our vision? To be the world's number one travel ally. (Ambitious? 💪Yes, but, hey, that's what got us here). Now, we're on the lookout for a Principal Engineer - Identity & Privacy to help us bring that vision to even more travellers. About the role (Hybrid) As our Principal Engineer for Identity & Privacy, you'll shape the technical foundations that help us earn traveller trust while safely unlocking the data and AI capabilities behind brilliant product, personalisation, experimentation and advertising experiences. This is a senior technical leadership role with impact right across Skyscanner. You'll own the technical strategy and set standards for identity, consent and privacy engineering across our traveller-facing products, data platforms and operational systems - spanning web, app, backend, experimentation, analytics, advertising and machine learning. What you'll be doing Setting our technical strategy: You'll define and communicate the long-term vision and roadmap for identity, consent and privacy engineering, aligning it with our product strategy, traveller trust goals and data and AI ambitions. Shaping identity at scale: You'll lead our technical approach to purpose-scoped identifiers and consent-aware data processing across sessions, tracking, advertising, accounts, consent and derived identifiers. Connecting the dots end-to-end: You'll establish how identity and consent state flows from web and app surfaces through backend services, event streams and data pipelines to downstream consumers - making a complicated ecosystem feel a lot less complicated. Turning privacy into engineering practice: You'll translate privacy principles and legal guidance into reusable engineering patterns, platform controls, decision frameworks and measurable standards, including clear expectations around retention, deletion, masking, access control and auditability. Leading across Skyscanner: You'll partner with Engineering, Product, Legal, Privacy, Security, Data Governance, Data Science, Marketing, Ads and Analytics to navigate trade-offs, create clarity and turn ambiguous problems into decisions teams can deliver against. Getting hands-on with the big stuff: You'll provide technical leadership for large-scale initiatives spanning consent platform capabilities, privacy-safe experimentation, data retention and deletion, and traveller-trust features, while guiding teams towards simple, scalable, reliable and cost-effective solutions. Raising the engineering bar: You'll use observability, engineering health and incident learnings to improve how we operate, while coaching and mentoring engineers and championing high standards, constructive challenge and inclusive collaboration across our Engineering community. About you Privacy-engineering experienced: You've translated privacy and data-protection requirements - including GDPR, PECR, CCPA/CPRA or equivalent global frameworks - into practical engineering decisions, working effectively with Legal, Privacy, Security and Data Governance partners. Built for scale: You've designed, built and operated large-scale distributed systems across identity, data platforms or adjacent areas such as consent, authentication, advertising technology or customer data infrastructure. An influential technical leader: You've led significant technical change across multiple teams without direct line authority, creating clarity, alignment and momentum when ownership is distributed. Strong in technical judgement: You're comfortable making decisions where product value, traveller trust, privacy requirements, operational reliability and cost are all competing for a seat at the table. End-to-end minded: You can reason confidently across client surfaces, backend services, event streams, data products, ML features, analytics, partner exports and operational tooling - and understand how a decision in one part of the system can ripple through the rest. Practical about standards: You know how to turn policy into technical controls and measurable quality standards that teams can consistently use in real systems, rather than another document destined for a forgotten browser tab. Clear, collaborative and credible: You can create shared engineering practices, write clear technical strategy and work effectively with senior stakeholders across Engineering, Product, Legal, Security and Data Governance. Familiarity with privacy and consent technologies, experimentation, personalisation, advertising measurement, Databricks, OpenTelemetry or SQL is valuable but not essential - as is practical experience using AI tools to make engineering work smarter. What it's like here We are the _ no corporate gloss, no empty promises. Just a team of genuinely curious, caring humans ❤️, building things that help travellers explore the world a little easier 🧭. Skyscanner is made up of brilliant humans from every corner of the world. We believe travel makes the world better - and that the same is true of our diverse teams. We're proud to be an equal opportunities employer and are committed to building an _ ✨. Sound like your kind of adventure? 🚀 Apply now and help us shape the future of travel. We're committed to ensuring our application and recruitment processes are inclusive and accessible to everyone. If you require any reasonable adjustments or accommodations for interviews, and/or wish to apply under the _ scheme, please let your recruiter know. If you'd like more information on any of our policies, such as hybrid working or Parental Leave policies (typically we pay a minimum of 24 weeks birth parent/maternity leave globally), our recruitment team can provide more information on these.

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorganChase within the Commercial & Investment Bank, Payments Technology, you are an integral part of an AI-first team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. In this role you own our public open-source presence on github.com/JPMorgan-payments, the shopfront external developers clone from and integrate against, where our published agent skills have taken merchant time-to-first-integration from months to minutes. • Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems, • Develops secure and high-quality production code, and reviews and debugs code written by others, • Maintains the public JPMorgan-payments GitHub organization to a continuous zero-findings standard, owning repo hygiene, ownership, licensing, CI, dependency currency, and release quality on code that external developers consume directly, • Maintains and evolves our flagship public repositories, including the agent skills and MCP server that let external developers drive JPMorgan Payments capabilities from their own AI tooling, • Builds the paved road for external SDK and library publication under Open Source Governance, taking pilot products from internal repository to public package manager, and hardening each step into a repeatable default that satisfies outbound contribution controls, • Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team, • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation, • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems, • Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture, • Represents the firm's engineering externally through public repositories, technical writing, and conference contribution, • Formal training or certification on software engineering concepts and advanced applied experience, • Hands‑on practical experience delivering system design, application development, testing, and operational stability, • Advanced in one or more programming language(s), • Demonstrated experience maintaining public open‑source repositories, including triaging external issues and contributions, managing releases, and holding a public quality and security bar, • Demonstrated experience leading effective use of approved AI‑assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security, • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices, • Proficient in all aspects of the Software Development Life Cycle, • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security, • In-depth knowledge of the financial services industry and their IT systems, • Practical cloud native experience, • Experience publishing to public package managers (Maven Central, npm, PyPI, CocoaPods/SPM) and operating the governance and IP review that sits in front of it, • Familiarity with agent tooling standards such as MCP, and with packaging capability for consumption by AI coding assistants, • Experience with payments APIs and merchant or developer integration journeys, • Track record of external technical communication: blogs, documentation, talks, or workshops, • Experience automating compliance and security gates in CI so that the control is the default path rather than a manual step J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first‑class business in a first‑class way approach to serving clients drives everything we do. We strive to build trusted, long‑term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. Own our public open-source presence and carry out critical tech solutions across multiple technical areas as an integral part of an AI‑first team #J-18808-Ljbffr

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorganChase within the Commercial & Investment Bank, Payments Technology, you are an integral part of an AI-first team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. In this role you own our public open-source presence on github.com/JPMorgan-payments, the shopfront external developers clone from and integrate against, where our published agent skills have taken merchant time-to-first-integration from months to minutes. • Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems, • Develops secure and high-quality production code, and reviews and debugs code written by others, • Maintains the public JPMorgan-payments GitHub organization to a continuous zero-findings standard, owning repo hygiene, ownership, licensing, CI, dependency currency, and release quality on code that external developers consume directly, • Maintains and evolves our flagship public repositories, including the agent skills and MCP server that let external developers drive JPMorgan Payments capabilities from their own AI tooling, • Builds the paved road for external SDK and library publication under Open Source Governance, taking pilot products from internal repository to public package manager, and hardening each step into a repeatable default that satisfies outbound contribution controls, • Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team, • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation, • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems, • Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture, • Represents the firm's engineering externally through public repositories, technical writing, and conference contribution, • Formal training or certification on software engineering concepts and advanced applied experience, • Hands-on practical experience delivering system design, application development, testing, and operational stability, • Advanced in one or more programming language(s), • Demonstrated experience maintaining public open-source repositories, including triaging external issues and contributions, managing releases, and holding a public quality and security bar, • Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security, • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices, • Proficient in all aspects of the Software Development Life Cycle, • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security, • In-depth knowledge of the financial services industry and their IT systems, • Practical cloud native experience, • Experience publishing to public package managers (Maven Central, npm, PyPI, CocoaPods/SPM) and operating the governance and IP review that sits in front of it, • Familiarity with agent tooling standards such as MCP, and with packaging capability for consumption by AI coding assistants, • Experience with payments APIs and merchant or developer integration journeys, • Track record of external technical communication: blogs, documentation, talks, or workshops, • Experience automating compliance and security gates in CI so that the control is the default path rather than a manual step J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. #J-18808-Ljbffr

Elevate your engineering expertise to new heights by joining a team of exceptionally talented professionals and position yourself among the top tier in site reliability. As a Senior Lead Site Reliability Engineer at JPMorganChase within the Chief Technology Office, SRE Enablement, you work with your fellow stakeholders to define non-functional requirements and availability targets for the services in your application and product lines. You will ensure those requirements are accounted for in your products' design and test phases, that your service level indicators are effectively measuring customer experience, and that service level objectives are defined with stakeholders and implemented in production. our team does not run a single application. We set the reliability and observability standards that whole platform organisations are held to, and then we get them adopted across engineering teams we do not own. The estate runs to many dozens of applications across several technology towers. You will spend as much time persuading engineers of a standard as implementing one, and the standards you set are enforced at the production gate rather than suggested in a document. Our core method is the observability assessment, and you will run them end to end. That is one process with four outputs, and you produce all of them: the user journeys as the customer would describe them, the map of which alerts actually cover each step of those journeys, the service level indicators for the service level objectives that matter to the journey rather than to a component, and a failure modes and effects analysis derived from that journey work. Each step surfaces the gaps for the thing it just produced. You then design and run a chaos gameday to test whether the failure modes and effects analysis was right, because such an analysis is a hypothesis until something breaks on purpose. • Creates and delivers high-quality designs, roadmaps, and programme charters alongside the engineering team, • Runs observability assessments end to end: user journeys, alert coverage mapping, journey-level service level indicators and service level objectives, and a design-phase failure modes and effects analysis; then designs and runs the chaos gameday that tests it, • Scores applications against the production-readiness bar and holds the line at the gate — a completed failure modes and effects analysis and a passed gameday are conditions of go-live in our organisation, not recommendations, so your assessment is the thing standing between an application and production, • Acts as a key resource and mentor for technologists in your area seeking advice on technical and business issues, and serves as a culture carrier and site reliability adoption champion for your team, • Collaborates with others to create and implement observability and reliability designs for complex systems that are robust, stable, and do not incur additional toil or technical debt, • Replaces whole-service and component-health measurement with journey-level indicators, working out which alerts and service level indicators an application should actually have and proving the indicator moves when the thing it measures breaks, • Proves an indicator can report a breach before trusting it — querying equations against the metrics store rather than reading them, because plenty of definitions look correct and return nothing, • Uses enterprise-authorized AI capabilities within the work environment to accelerate reliability design and operational decisioning (e.g., incident and post-incident analysis and requirements traceability), validating outputs and handling operational data according to sensitivity and security requirements, • Applies those capabilities at estate scale rather than one service at a time, helping design and run automated screening across the estate and validating what it returns, • Drives evolution and debugging of critical components by understanding application and platform interdependencies and limitations, • Contributes across the breadth of what the team does — which in any given quarter has included reliability assessments and production-readiness reviews, chaos gameday design and delivery, service level objective quality analysis at scale, migrating and rationalising service level objective estates between platforms, defining alerting standards, resiliency and recovery evidence for audit, and building the small internal tools that make all of the above repeatable, • Formal training or certification on site reliability engineering concepts and advanced applied experience, • Brings an advanced understanding of site reliability culture and principles and a track record of demonstrating how to implement site reliability within an application or platform, • Advanced knowledge and experience in observability such as white and black box monitoring, service level objectives, alerting, and telemetry collection, • Hands-on fluency writing and debugging queries against a time-series metrics store — PromQL or equivalent — as a daily activity rather than an occasional one, • Practical experience defining service level indicators and service level objectives from user journeys, and the judgement to distinguish a customer-facing indicator from a component health check, • Demonstrated experience using enterprise-authorized AI capabilities within the work environment to improve reliability engineering workflows, with strong validation habits and awareness of data sensitivity, • Ability to set team practices for safe AI usage in operations (e.g., review and approval expectations and escalation paths) while maintaining resiliency, security, and auditability outcomes, • Advanced knowledge of software applications and technical processes with considerable depth in one or more technical disciplines, • Strong communication skills and a desire to mentor and educate others on site reliability engineering principles and practices, • The ability to communicate findings an engineering team may not want to hear — with evidence — while maintaining productive working relationships, • Experience with failure modes and effects analysisor an equivalent structured failure-analysis method, and the ability to run the exercise with an application team rather than write it for them, • Experience designing and running chaos or fault-injection experiments, with tooling such as Gremlin or AWS Fault Injection Simulator, and specifically designing experiments to test whether anyone notices — not only whether something breaks, • Hands-on experience with Dynatrace, Prometheus or Cortex-based metrics platforms, and Grafana, • Experience with error budgets as an input to delivery decisions, including what happens when one is exhausted, • Familiarity with resiliency and recovery governance: recovery time and recovery point objectives, application recovery plans, and the evidence an internal audit expects to see, • Experience working across lines of business or legal entities where you have influence but no direct authority, and comfort operating in a globally distributed team with the autonomy that implies #J-18808-Ljbffr

Are you a senior Python engineer who wants to work at the intersection of data platforms and applied AI? This is your opportunity to join a small, high-impact team building something new from the ground up — where your decisions shape the architecture, not just the backlog. At JPMorganChase, we invest in engineers who are curious, pragmatic, and ready to grow into emerging technology stacks. As a Senior Lead Software Engineer at JPMorganChase within the Corporate Technology Data and Analytics Services team, you will be a founding contributor to the Context Plane — a greenfield platform that connects the firm’s data mesh and knowledge sources to AI agents and large language model tools. You will own components end-to-end, from ingestion pipelines to governed retrieval services, and your engineering instincts will directly influence how the platform evolves. This is a hands-on senior role with real architectural scope, active cross-functional collaboration, and strong support for internal mobility and upskilling. • Design, build, and maintain backend services and data pipelines in Python that load firm knowledge into a knowledge graph and vector store, • Build and evolve the serving layer — including graph and vector retrieval, GraphRAG, response assembly, and a Model Context Protocol endpoint consumed by downstream agents, • Extract and promote reusable components into a shared core library, reducing duplication across the platform’s repositories, • Integrate with data sources and services across the firm, including enterprise AI and large language model gateways, • Own quality across your components: automated testing, code reviews, observability, and resilient, secure service design, • Partner with Corporate Technology AI, product, and data science colleagues to translate concrete use cases into working, measurable capabilities, • Contribute to design discussions and agile ceremonies, and actively mentor teammates to raise the engineering bar across the team, • Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team, • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation, • Formal training or certification on software engineering concepts and advanced applied experience, • Demonstrated expertise building production-grade backend services and data pipelines in Python, • Strong command of API design principles (e.g., FastAPI), automated testing, CI/CD practices, and source control workflows, • Experience designing and building data ingestion or integration pipelines at scale, with attention to data quality and resilience, • Proficiency working with cloud infrastructure (AWS) and containerized services (Docker/ECS), • Ability to own technical components end-to-end — from design through deployment and observability, • Strong collaboration skills with the ability to work across engineering, product, and data science disciplines, • Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security, • Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices, • Experience with graph databases and Cypher query language (e.g., Neo4j) or a strong interest in graph data modeling, • Familiarity with vector search, embeddings, or retrieval-augmented generation (RAG) patterns, • Exposure to large language model serving, agentic patterns (tool/function calling, Model Context Protocol), or platforms such as Bedrock or Azure OpenAI, • Experience with Databricks, MongoDB, or large-scale extract, transform, and load / data integration workflows, • Knowledge of data governance, lineage, and entitlements concepts in an enterprise environment J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success. #J-18808-Ljbffr

SII Group delivers Digital Services, IT, Engineering, and Consulting to diverse industries, enabling digital transformation through our commitment to Growth, People, and CSR. With over 16,000 professionals across 21 countries, we're recognised as a "Great Place to Work" for fostering a high-trust culture. Our core values of Trust, Transparency, and Quality drive our work package delivery, ensuring we meet and exceed client expectations as a committed partner. Since 2016, SII UK has supported top Aerospace & Defence, Aviation, Transportation, and Finance clients, empowering digital transformation with industry-leading engineering expertise. Let's Tech Together is our promise to encourage innovation and teamwork. We support our engineers with development opportunities and a collaborative, inclusive environment where every voice is valued and empowered. #LetsTechTogether As an Electronics Engineer, you'll design and develop cutting-edge electronic systems for advanced defence and security platforms. You'll work across the full product lifecycle, collaborate with a skilled multi-disciplinary team, and grow your expertise in a flexible, supportive environment that encourages innovation, hands-on engineering, and career development. • Designing and developing complex electronic circuits and systems - from concept to qualification, • Working closely with engineers across different disciplines to find the best technical solutions, • Making sure products meet all technical, safety, and environmental standards, • Helping develop the wider electronics team - mentoring others, reviewing work, and sharing ideas, • Creating specs, architectures, and test or verification plans, • Supporting bids and projects with technical input and estimates, • Presenting your work and solutions at design reviews, • Keeping track of project progress, budgets, and performance We're after someone curious, creative, and confident in their technical skills - ideally with: • Solid experience in electronic design across the full lifecycle, • Familiarity with schematic capture tools like Cadence, Mentor Graphics, or similar, • Experience developing electronic products in a structured environment, • Hands-on testing experience (board bring-up, debugging, EMC testing, etc.), • Ability to write subsystem requirements or procurement specs, • A good understanding of engineering processes and lifecycles You'll need to hold (or be eligible for) SC Clearance - see the UKSV website for details. • Competitive Basic Salary, • 6% Employers Contribution + 6% as a salary sacrifice, • Private Medical Insurance, Life Cover and Income Protection, • 25 days holiday, • 10 days full sick pay per year, • Flexible working, • Cycle to Work & TechScheme, • Continuous professional development, • Corporate access to the Udemy platform, • If you're applying for a role requiring security clearance, please be aware that foreign or dual nationality is not an automatic bar, however certain posts may have restrictions which could affect those who do not have sole British nationality or who have personal connections with certain countries outside the UK. en #J-18808-Ljbffr

Are you a senior Python engineer who wants to work at the intersection of data platforms and applied AI? This is your opportunity to join a small, high-impact team building something new from the ground up - where your decisions shape the architecture, not just the backlog. At JPMorganChase, we invest in engineers who are curious, pragmatic, and ready to grow into emerging technology stacks. As a Senior Lead Software Engineer at JPMorganChase within the Corporate Technology Data and Analytics Services team, you will be a founding contributor to the Context Plane - a greenfield platform that connects the firm's data mesh and knowledge sources to AI agents and large language model tools. You will own components end-to-end, from ingestion pipelines to governed retrieval services, and your engineering instincts will directly influence how the platform evolves. This is a hands‑on senior role with real architectural scope, active cross‑functional collaboration, and strong support for internal mobility and upskilling. • Design, build, and maintain backend services and data pipelines in Python that load firm knowledge into a knowledge graph and vector store, • Build and evolve the serving layer - including graph and vector retrieval, GraphRAG, response assembly, and a Model Context Protocol endpoint consumed by downstream agents, • Extract and promote reusable components into a shared core library, reducing duplication across the platform's repositories, • Integrate with data sources and services across the firm, including enterprise AI and large language model gateways, • Own quality across your components: automated testing, code reviews, observability, and resilient, secure service design, • Partner with Corporate Technology AI, product, and data science colleagues to translate concrete use cases into working, measurable capabilities, • Contribute to design discussions and agile ceremonies, and actively mentor teammates to raise the engineering bar across the team, • Drives team adoption of enterprise-authorized AI‑assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI‑assisted code review/refactoring, test strategy acceleration, incident/root‑cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team, • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI‑assisted development and automation capabilities, to improve the value realized by automation, • Formal training or certification on software engineering concepts and advanced applied experience, • Demonstrated expertise building production‑grade backend services and data pipelines in Python, • Strong command of API design principles (e.g., FastAPI), automated testing, CI/CD practices, and source control workflows, • Experience designing and building data ingestion or integration pipelines at scale, with attention to data quality and resilience, • Proficiency working with cloud infrastructure (AWS) and containerized services (Docker/ECS), • Ability to own technical components end-to-end - from design through deployment and observability, • Strong collaboration skills with the ability to work across engineering, product, and data science disciplines, • Hands‑on experience using enterprise-authorized AI‑assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI‑generated outputs for correctness, performance, and security, • Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices, • Experience with graph databases and Cypher query language (e.g., Neo4j) or a strong interest in graph data modeling, • Familiarity with vector search, embeddings, or retrieval‑augmented generation (RAG) patterns, • Exposure to large language model serving, agentic patterns (tool/function calling, Model Context Protocol), or platforms such as Bedrock or Azure OpenAI, • Experience with Databricks, MongoDB, or large‑scale extract, transform, and load / data integration workflows, • Knowledge of data governance, lineage, and entitlements concepts in an enterprise environment J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first‑class business in a first‑class way approach to serving clients drives everything we do. We strive to build trusted, long‑term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success. #J-18808-Ljbffr

Elevate your engineering expertise to new heights by joining a team of exceptionally talented professionals and position yourself among the top tier in site reliability. As a Senior Lead Site Reliability Engineer at JPMorganChase within the Chief Technology Office, SRE Enablement, you work with your fellow stakeholders to define non-functional requirements and availability targets for the services in your application and product lines. You will ensure those requirements are accounted for in your products' design and test phases, that your service level indicators are effectively measuring customer experience, and that service level objectives are defined with stakeholders and implemented in production. What makes this role different from most site reliability engineering roles in the firm: our team does not run a single application. We set the reliability and observability standards that whole platform organisations are held to, and then we get them adopted across engineering teams we do not own. The estate runs to many dozens of applications across several technology towers. You will spend as much time persuading engineers of a standard as implementing one, and the standards you set are enforced at the production gate rather than suggested in a document. Our core method is the observability assessment, and you will run them end to end. That is one process with four outputs, and you produce all of them: the user journeys as the customer would describe them, the map of which alerts actually cover each step of those journeys, the service level indicators for the service level objectives that matter to the journey rather than to a component, and a failure modes and effects analysis derived from that journey work. Each step surfaces the gaps for the thing it just produced. You then design and run a chaos gameday to test whether the failure modes and effects analysis was right, because such an analysis is a hypothesis until something breaks on purpose. • Creates and delivers high-quality designs, roadmaps, and programme charters alongside the engineering team, • Runs observability assessments end to end: user journeys, alert coverage mapping, journey-level service level indicators and service level objectives, and a design-phase failure modes and effects analysis; then designs and runs the chaos gameday that tests it, • Scores applications against the production-readiness bar and holds the line at the gate - a completed failure modes and effects analysis and a passed gameday are conditions of go-live in our organisation, not recommendations, so your assessment is the thing standing between an application and production, • Acts as a key resource and mentor for technologists in your area seeking advice on technical and business issues, and serves as a culture carrier and site reliability adoption champion for your team, • Collaborates with others to create and implement observability and reliability designs for complex systems that are robust, stable, and do not incur additional toil or technical debt, • Replaces whole-service and component-health measurement with journey-level indicators, working out which alerts and service level indicators an application should actually have and proving the indicator moves when the thing it just produced, • Proves an indicator can report a breach before trusting it - querying equations against the metrics store rather than reading them, because plenty of definitions look correct and return nothing, • Uses enterprise-authorized AI capabilities within the work environment to accelerate reliability design and operational decisioning (e.g., incident and post-incident analysis and requirements traceability), validating outputs and handling operational data according to sensitivity and security requirements, • Applies those capabilities at estate scale rather than one service at a time, helping design and run automated screening across the estate and validating what it returns, • Drives evolution and debugging of critical components by understanding application and platform interdependencies and limitations, • Contributes across the breadth of what the team does - which in any given quarter has included reliability assessments and production-readiness reviews, chaos gameday design and delivery, service level objective quality analysis at scale, migrating and rationalising service level objective estates between platforms, defining alerting standards, resiliency and recovery evidence for audit, and building the small internal tools that make all of the above repeatable, • Formal training or certification on site reliability engineering concepts and advanced applied experience, • Brings an advanced understanding of site reliability culture and principles and a track record of demonstrating how to implement site reliability within an application or platform, • Advanced knowledge and experience in observability such as white and black box monitoring, service level objectives, alerting, and telemetry collection, • Hands-on fluency writing and debugging queries against a time-series metrics store - PromQL or equivalent - as a daily activity rather than an occasional one, • Practical experience defining service level indicators and service level objectives from user journeys, and the judgement to distinguish a customer-facing indicator from a component health check, • Demonstrated experience using enterprise-authorized AI capabilities within the work environment to improve reliability engineering workflows, with strong validation habits and awareness of data sensitivity, • Ability to set team practices for safe AI usage in operations (e.g., review and approval expectations and escalation paths) while maintaining resiliency, security, and auditability outcomes, • Advanced knowledge of software applications and technical processes with considerable depth in one or more technical disciplines, • Strong communication skills and a desire to mentor and educate others on site reliability engineering principles and practices, • The ability to communicate findings an engineering team may not want to hear - with evidence - while maintaining productive working relationships, • Experience with failure modes and effects analysisor an equivalent structured failure-analysis method, and the ability to run the exercise with an application team rather than write it for them, • Experience designing and running chaos or fault-injection experiments, with tooling such as Gremlin or AWS Fault Injection Simulator, and specifically designing experiments to test whether anyone notices - not only whether something breaks, • Hands-on experience with Dynatrace, Prometheus or Cortex-based metrics platforms, and Grafana, • Experience with error budgets as an input to delivery decisions, including what happens when one is exhausted, • Familiarity with resiliency and recovery governance: recovery time and recovery point objectives, application recovery plans, and the evidence an internal audit expects to see, • Experience working across lines of business or legal entities where you have influence but no direct authority, and comfort operating in a globally distributed team with the autonomy that implies J.P. Morgan is a global leader in financial services, providing strategic advice and products to the worlds most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success. Work with stakeholders to define non-functional requirements and availability targets for the services in application and product lines. #J-18808-Ljbffr

Assume a critical role in defining the future of a globally recognized firm and make a direct, meaningful impact in a space built for top achievers in site reliability engineering. As a Lead Site Reliability Engineer at JPMorganChase within Infrastructure Platforms, you bring deep technical expertise across multiple domains and play a key role in driving reliability outcomes for your team. You will conduct resiliency design reviews, break complex problems into digestible work, act as a technical authority for medium to large-sized products, and share your knowledge and experience with peers to raise the bar across the team. • Consistently champion site reliability culture and practices, documenting and sharing knowledge across your organization through internal forums and communities of practice, • Drive initiatives to improve the reliability and stability of your team's applications and platforms using data-driven analytics to improve service levels, proactively identifying and resolving technology-related bottlenecks, • Collaborate with your team to identify comprehensive service level indicators and partner with stakeholders to establish reasonable service level objectives and error budgets, • Design and implement observability frameworks and alerting strategies, including white and black box monitoring, service level objective-based alerting, and telemetry collection to ensure proactive detection and response, • Serve as the primary point of contact during major incidents for your application, applying strong diagnostic skills to identify and resolve issues quickly and minimize business impact, • Apply deep technical expertise within one or more technical domains, sharing knowledge and providing guidance to peers across the team, • Drive reuse-first adoption of AI-assisted reliability workflows across the software development lifecycle and toolchain practices (e.g., continuous integration/continuous delivery quality checks, test and validation automation, and operational readiness), ensuring traceability, auditability, resiliency, and security controls, • Use enterprise-authorized AI capabilities within the work environment to accelerate major-incident triage, troubleshooting, and post-incident analysis, validating outputs and handling operational data according to sensitivity and security requirements, • Formal training or certification on site reliability engineering concepts and advanced applied experience, • Demonstrated hands-on experience with Amazon Web Services (AWS), including deploying, operating, and maintaining resilient, highly available workloads in a cloud environment, • Demonstrated proficiency in reliability, scalability, performance, and enterprise system architecture, with hands-on experience conducting resiliency design reviews and implementing resiliency best practices, • Fluency in at least one programming language such as Python, Java/Spring Boot, or .NET, • Proficient knowledge and experience in observability, including white and black box monitoring, service level objective alerting, and telemetry collection across large-scale production environments, • Proficiency with continuous integration and continuous delivery practices and tooling, • Proficiency with container technologies and container orchestration, • Experience troubleshooting common networking technologies and issues, • Advanced knowledge of software applications and technical processes with emerging depth in one or more technical disciplines, with a demonstrated ability to evaluate and recommend suitable new technologies, • Demonstrated experience using enterprise-authorized AI capabilities within the work environment to improve site reliability engineering workflows (e.g., incident investigation support and knowledge capture) with strong validation habits and awareness of data sensitivity, • Ability to evaluate AI-assisted operational recommendations for correctness and risk, define appropriate guardrails for team usage, and ensure outcomes align to resiliency and security expectations, • Experience with cloud platforms and infrastructure-as-code tooling in an enterprise environment, • Familiarity with chaos engineering principles and proactive resiliency testing practices, • Experience contributing to communities of practice, internal knowledge-sharing forums, or engineering guilds, • Exposure to advanced observability platforms and distributed tracing in large-scale production environments #J-18808-Ljbffr

Food & Beverage Team Member (Bank).Milngavie FWC | Food and Beverage | Bank Contract | Ad-Hoc.At Nuffield Health, our goal is to create the best possible experience for our members and guests.If you're motivated, great at making people feel welcome and comfortable, and you bring plenty of initiative

In this role, you'll help set up the restaurant and bar for service, maintain high presentation standards, and become a friendly, familiar face for our guests.

We sell the world's best chicken.We've done it for a long old time - since 1939, when the idea of.Now, we proudly serve 1000+ communities across the UK and Ireland, bringing the grit, pride and iconic reputation that started in Kentucky all those years ago.We come to work to be ourselves, and to mak

We're currently recruiting in our Glasgow City Centre (George Square) Premier Inn.Working 25 hours per week, paying up to £13.Kitchen Team Member – Glasgow City Centre (George Square) Premier Inn.You’ll help prepare, cook and serve meals that become part of someone’s stay at Premier Inn bec

You will be the face of our hotel, not just to guests staying on property but to guest visiting to use our restaurants, bars and meeting rooms.

We're currently recruiting in our Glasgow (Cambuslang / M74 J2A) Premier Inn.Working 20 hours per week, paying up to £13.Kitchen Team Member – Glasgow (Cambuslang / M74 J2A) Premier Inn.You’ll help prepare, cook and serve meals that become part of someone’s stay at Premier Inn because a good

Renfrewshire Council is looking to recruit an enthusiastic and skilled Early Learning Support Worker.You will be part of a team assisting nursery officers in the delivery of early learning and childcare including supporting lunchtimes, working with individual/groups of children and the organisation

Waverley Residential Home, Galashiels.SVQ2 or equivalent is desirable but not essential.You can earn whilst you learn!.PVG Adults – we will do this for you! SSSC registered.We focus on these five principles to provide excellent care through a well-structured, meaningful and person-centred approach

We're currently recruiting in our Glasgow East location.Working 8 hours per week, paying up to £13.Maintenance Team Leader – Glasgow East Premier Inn Hotel.Come and be a Maintenance Team Leader at Premier Inn in Glasgow East.Taking care of the maintenance of our hotels and making sure that ever

It is an offence therefore to apply if you are barred from working with children and protected adults.

We're currently recruiting in our Aberdeen South (Portlethen) Premier Inn Hotel.Working 15 hours per week, paying up to £13.Housekeeper – Aberdeen South (Portlethen) Premier Inn Hotel .Come and be a Housekeeper at Premier Inn in Aberdeen South (Portlethen).You’ll join a fun housekeeping t

We are looking for a Warehouse Operative/Driver (3.This role will be predominately warehouse duties and driver duties will be required to cover holiday, absences and busy periods.Start date for this role will be.This role is full time, 40 hours a week, Monday - Friday with an hour lunch break each d

We're currently recruiting in our Aberdeen South (Portlethen) Premier Inn Hotel.Working 22 hours per week, paying up to £13.Nights Team Member – Aberdeen South (Portlethen) Premier Inn Hotel .Come and be a Nights Team Member at Premier Inn in Aberdeen South (Portlethen).As the go-to for our h

Blue Arrow is recruiting for nightshift based in BELLSHILL.We are currently recruiting Warehouse Operatives to join a busy and fast-paced distribution centre in Bellshill, supporting the sorting and movement of parcels.Sorting parcels and packages accurately within the warehouse.Loading and unloadin

Serve breakfast or evening meals, including working behind the bar and serving alcoholic drinks.

The criteria outlined above will apply to existing employees of East Dunbartonshire Council who apply for roles for which a PVG/Disclosure check is required. The commitment by East Dunbartonshire Council to job applicants is as follows:. We have cleaning position in Castlehill Primary School within

We're currently recruiting in our Glasgow (Paisley) Premier Inn Hotel.Working 20 hours per week, paying up to £13.Housekeeper – Glasgow (Paisley) Premier Inn Hotel .Come and be a Housekeeper at Premier Inn in Glasgow (Paisley).You’ll join a fun housekeeping team that takes pride in cleaning

Join our award-winning school cleaning team.We’re proud of our award-winning service, recognised with:.ASSIST-FM Contribution to Cleaning Award - 2022.APSE Building Cleaning Innovation Award - 2023.Building Cleaning Most Improved Performance Networks Award – 2024.ASSIST – FM Contribution to Cl

We're currently recruiting in our Glasgow City Centre (George Square) location.Working 30 hours per week, paying up to £13.Nights Team Member – Glasgow City Centre (George Square) Premier Inn Hotel .Come and be a Nights Team Member at Premier Inn in Glasgow City Centre (George Square).As the

Senior Care Assistant – Flexible and Rewarding Work in Glasgow, and surrounding areas.Deliver exceptional care as a Senior Care Assistant with Newcross Healthcare.Your responsibilities may include:.Provide high‑quality, person‑centred care while supporting the wider clinical team.The role invo

We're currently recruiting in our Glasgow Pacific Quay (SECC) Premier Inn.Working 15 hours per week, paying up to £13.Ground Floor Team Member – Glasgow Pacific Quay (SECC) Premier Inn.You are the first person many of our guests meet.And often the last before they leave.As a Ground Floor Team Mem

They will act as the first point of call to residents and visitors and will monitor all matters concerning the security of the residence. Issue and receive all keys and ensure key security.

Care Assistant job in Johnstone, Renfrewshire (PA5).Full time or part time with flexible shifts.We have over 30 years of experience delivering trusted and compassionate care across the UK.We are now hiring exceptional carers to join our team in Johnstone.If you take pride in delivering high standard

Support Worker job in Edinburgh.Join a trusted care provider with over 30 years of experience.Your support helps others live safer, happier and more independent lives.We are looking for an exceptional Support Worker to join the Newcross team in the Edinburgh.You will be part of a supportive and rewa

NLC7 £33,747 - £36,267 (based on a 37hr post, pro rata for part time hours) .Various hours/locations available - please note all posts are 21 hours or over.We are offering an exciting opportunity for a rewarding career as part of our Home Support Service providing a person-centred care approach t

We're currently recruiting in our Dublin Gloucester Street Premier Inn.Working 16 hours per week, paying up to €15.Kitchen Team Member – Dublin Gloucester Street Premier Inn.You’ll help prepare, cook and serve meals that become part of someone’s stay at Premier Inn because a good meal can ma

Access to Work - Support for Learning Worker .Do you have experience of supporting and caring for the needs of others? Are you interested in developing your skills and working in the Education sector? We’re seeking to recruit a Support for Learning Worker to support the daily tasks of a class tea

Children's Residential Support Worker.Be the reason a child feels safe, supported, and heard.At Newcross Healthcare, we help children and young people thrive.We are looking for compassionate Residential Support Workers to provide stability, care, and encouragement.If you have experience working with