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We're looking for a hands-on, business-facing AI engineer who thrives at the intersection of technology and the front line. Join the ranks of top talent at one of the world's most influential companies. As an AI Solutions Engineer (Forward Deployed) - Vice President at JPMorgan Chase within the International Private Bank (IPB) Technology Artificial Intelligence and Machine Learning (AIML) Team, you will be deployed directly into business contexts to identify where AI can create value, then design, build, and ship the solutions that realise it. You will operate at the front of the team's engagement model: turning ambiguous, surfacing opportunities into scoped, working agentic AI and machine learning solutions, and partnering with the core AIML team to productionise and scale what proves out. This is a Vice President-level role and an integral part of the IPB Tech AIML team, reporting to the Head of AI, IPB Tech. • Embeds with IPB advisors, business teams, and product partners (e.g. across Investment, Client experience, and surfacing IPB-first use cases) to discover and frame high-value AI/ML opportunities, • Rapidly prototypes and builds agentic AI and LLM-powered solutions full-stack and end-to-end (backend, data, and lightweight interfaces as needed) to demonstrate value quickly, then hardens and scales them with the core AIML team, • Owns solutions end-to-end during the engagement: problem framing, build, demo, iteration, and hand-off to production, • Acts as the primary technical translator between business/product stakeholders and the engineering team, shaping opportunities into funded, well-scoped workstreams, • Balances speed of iteration with the team's engineering, Responsible AI, and control standards (guardrails, evaluation, observability), • Feeds reusable patterns, skills, and learnings back into the team's platform so each engagement compounds, • Contributes to the team's GenAI education and knowledge-sharing, and mentors junior engineers on solutioning and delivery, • Champions the firm's culture of diversity, Opportunity, inclusion, and respect, • Formal training or certification on AI/ML engineering concepts and applied experience, • Advanced Python and full-stack / generalist engineering ability - backend, data, and lightweight front-end - to ship a working end-to-end solution, with modern software engineering practices (testing, code review, version control), • Fluent with AI coding tools (e.g., Claude Code, GitHub Copilot) as a core part of day-to-day development, with the judgement to know when to lean on them and when not to, • Practical experience with Large Language Models, including prompt engineering, RAG, and/or agentic frameworks, • Hands-on experience taking solutions from prototype to production, including CI/CD, containerisation, and cloud-native deployment, • Proven ability to work directly with non-technical stakeholders - eliciting needs, framing problems, demoing, influencing, and building trust across technical and business audiences, • Comfort with ambiguity and the ability to switch context quickly across multiple problem domains, stakeholders, and engagements; a bias to ship and learn while maintaining engineering quality, • Product mindset: prioritises by user value and outcomes, with the judgement to decide what to build, what to cut, and what "good enough to prove value" looks like, • Commercial acumen: spots where AI creates measurable business value, frames success metrics, and builds the case to fund and scale what works, • Master's degree in Computer Science, Data Science, Engineering, or a related quantitative field (or equivalent applied experience), • Industry-recognised cloud / GenAI certification (e.g., AWS Certified Generative AI Developer - Professional, or similar), • Prior forward-deployed, solutions-engineering, consulting, or client-facing engineering experience, • Openness to periodic on-site embedding with business teams and occasional international travel, as engagements benefit from it, • Experience within financial services, particularly wealth, private banking, or asset management, • Experience designing or contributing to AI governance, model validation, or guardrail frameworks, • Familiarity with JPM-internal AI/ML infrastructure and governance for internal candidates 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 Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals. Lead impactful artificial intelligence solutions with advisors, owning discovery, rapid builds, and full delivery in a highly visible role. #J-18808-Ljbffr

We're looking for a hands-on DevOps / SRE engineer ready to take their career to new heights. Join the ranks of top talent at one of the world's most influential companies. As a Lead DevOps / SRE Engineer - Vice President at JPMorgan Chase within the International Private Bank (IPB) Technology Artificial Intelligence and Machine Learning (AIML) Team, you will own the automation, reliability, and production operations of our agentic AI and machine learning products. As the team takes end-to-end ownership of the platforms it runs, you will build the CI/CD, observability, and incident-management practices that keep those services stable, secure, and performant across international markets. This is a Vice President-level role and an integral part of the IPB Tech AIML team, reporting to the Head of AI, IPB Tech. • Owns and evolves the team's CI/CD pipelines, release automation, and deployment tooling, • Establishes reliability practices (SLOs, error budgets, runbooks) and leads production incident response and post-incident review, • Builds and operates observability across the team's AI/ML services (metrics, logging, tracing, alerting), • Automates infrastructure provisioning and configuration through infrastructure-as-code, • Implements operational security, secrets management, and access controls to firm-wide standards, • Partners with platform, data, and AI engineers to harden services for production and reduce dependency on external functions, • Mentors junior engineers on DevOps and reliability practices and sets standards through review, • Champions the firm's culture of diversity, Opportunity, inclusion, and respect, • Formal training or certification on software engineering or systems concepts and applied experience, • Advanced proficiency with infrastructure-as-code (e.g., Terraform) and scripting in Python and/or shell, • Deep hands-on experience with CI/CD tooling and building release automation at scale, • Strong experience with Kubernetes, containerisation, and cloud-native operations, • Proven experience running production services: observability, on-call, incident response, and reliability engineering, • Understanding of production security and change-management controls, • Strong communication skills and the ability to set operational standards across a team, • Formal SRE experience in a regulated or high-availability environment, • Master's degree in Computer Science, Engineering, or a related technical field (or equivalent applied experience), • Experience operating ML / LLM workloads in production (MLOps, inference reliability, cost/performance management), • Experience within financial services technology, • Familiarity with JPM-internal platform, cloud, and observability tooling for internal candidates 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 Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals. #J-18808-Ljbffr

Welocity is seeking a Senior AIML Engineer in the UK (Glasgow or Cambridge) to advance its AI/ML capabilities and drive practical, scalable solutions across the business. You will lead the development and deployment of cutting-edge models, collaborating with cross-functional teams to ensure alignment with strategic goals and operational needs. You will mentor junior engineers, shape AI initiatives, and ensure robust cloud-based deployments on AWS/Azure/Google Cloud. #J-18808-Ljbffr

Build the platforms that thousands of developers rely on to ship software with speed and confidence. You’ll join a core engineering team that operates one of the world’s largest Cloud Foundry environments and automates everything we can. If you enjoy owning complex initiatives end-to-end, reducing toil through infrastructure as code, and keeping critical platforms secure and resilient, this role is for you. You’ll have the opportunity to grow your Kubernetes platform engineering scope over time while continuing to strengthen and modernize our current platform. As a Senior Platform Engineer (Cloud Foundry and Kubernetes) in the GAP Core Engineering team within Runtime Compute, you will build, upgrade, and operate Cloud Foundry foundations at scale while automating operations through modern engineering practices. You will own technical initiatives from planning through delivery, partnering with teammates to execute safely in complex production environments. You will help reduce technical debt and improve upgrade and promotion reliability across our platform tooling. You will also take on an increasing share of Kubernetes platform engineering over time, helping translate proven Cloud Foundry operational practices to Kubernetes. • Build and maintain automation that deploys, upgrades, and operates Cloud Foundry foundations across multiple data centers, • Own large technical initiatives end-to-end by defining the plan, establishing initial structure, and enabling team delivery, • Modernize infrastructure as code and reduce technical debt in pipelines to make upgrades and promotions faster and less error-prone, • Partner with infrastructure providers on platform-impacting changes (e.g., hardware refreshes and capacity migrations) and automate the platform side of the work, • Plan and execute environment teardowns, rebuilds, and other high-risk changes with minimal disruption to application teams, • Expand Kubernetes platform engineering ownership over time and help design how existing Cloud Foundry practices carry over to Kubernetes, • Mentor junior engineers and interns through pairing, code review, and hands-on troubleshooting support, • Contribute actively in retrospectives and design discussions by sharing what’s working and what needs improvement, • Write secure, high-quality production code and provide thoughtful reviews for code written by others, • Uphold the firm’s standards for security, risk, and controls across platform engineering work, • Hands-on expertise with Cloud Foundry, including installing, upgrading, and troubleshooting foundations at scale (open-source Cloud Foundry, VMware Tanzu Application Service, or both), • Proficiency with BOSH, including writing and debugging releases, manifests, and ops files, • Proficiency with Concourse, including building and maintaining pipelines and operating Concourse, • Working knowledge of Kubernetes, including running workloads or clusters and understanding core concepts, • Experience using Terraform for infrastructure as code, • Strong programming skills in at least one of Go, Python, or shell scripting, • Strong Linux troubleshooting skills, • Experience delivering system design, automation, testing, and operational stability for production platforms, • Ability to take on design problems independently and carry them through with minimal oversight, • Demonstrated track record of mentoring engineers and raising team capability, • Clear written and verbal communication skills, including explaining technical tradeoffs to audiences outside the team, • Experience moving teams or workloads from Cloud Foundry to Kubernetes, • Kubernetes certification (e.g., CKA or CKAD), • Experience with Kubernetes ecosystem tooling (e.g., Helm, operators, Cluster API, or GitOps tools such as Argo CD or Flux), • Experience with PKI and certificate rotation for platform control planes #J-18808-Ljbffr

We're looking for a hands-on, business-facing AI engineer who thrives at the intersection of technology and the front line. Join the ranks of top talent at one of the world's most influential companies. As an AI Solutions Engineer (Forward Deployed) - Vice President at JPMorgan Chase within the International Private Bank (IPB) Technology Artificial Intelligence and Machine Learning (AIML) Team, you will be deployed directly into business contexts to identify where AI can create value, then design, build, and ship the solutions that realise it. You will operate at the front of the team's engagement model: turning ambiguous, surfacing opportunities into scoped, working agentic AI and machine learning solutions, and partnering with the core AIML team to productionise and scale what proves out. This is a Vice President-level role and an integral part of the IPB Tech AIML team, reporting to the Head of AI, IPB Tech. • Embeds with IPB advisors, business teams, and product partners (e.g. across Investment, Client experience, and surfacing IPB-first use cases) to discover and frame high-value AI/ML opportunities, • Rapidly prototypes and builds agentic AI and LLM-powered solutions full-stack and end-to-end (backend, data, and lightweight interfaces as needed) to demonstrate value quickly, then hardens and scales them with the core AIML team, • Owns solutions end-to-end during the engagement: problem framing, build, demo, iteration, and hand-off to production, • Acts as the primary technical translator between business/product stakeholders and the engineering team, shaping opportunities into funded, well-scoped workstreams, • Balances speed of iteration with the team's engineering, Responsible AI, and control standards (guardrails, evaluation, observability), • Feeds reusable patterns, skills, and learnings back into the team's platform so each engagement compounds, • Contributes to the team's GenAI education and knowledge-sharing, and mentors junior engineers on solutioning and delivery, • Champions the firm's culture of diversity, Opportunity, inclusion, and respect, • Formal training or certification on AI/ML engineering concepts and applied experience, • Advanced Python and full-stack / generalist engineering ability - backend, data, and lightweight front-end - to ship a working end-to-end solution, with modern software engineering practices (testing, code review, version control), • Fluent with AI coding tools (e.g., Claude Code, GitHub Copilot) as a core part of day-to-day development, with the judgement to know when to lean on them and when not to, • Practical experience with Large Language Models, including prompt engineering, RAG, and/or agentic frameworks, • Hands-on experience taking solutions from prototype to production, including CI/CD, containerisation, and cloud-native deployment, • Proven ability to work directly with non-technical stakeholders - eliciting needs, framing problems, demoing, influencing, and building trust across technical and business audiences, • Comfort with ambiguity and the ability to switch context quickly across multiple problem domains, stakeholders, and engagements; a bias to ship and learn while maintaining engineering quality, • Product mindset: prioritises by user value and outcomes, with the judgement to decide what to build, what to cut, and what "good enough to prove value" looks like, • Commercial acumen: spots where AI creates measurable business value, frames success metrics, and builds the case to fund and scale what works, • Master's degree in Computer Science, Data Science, Engineering, or a related quantitative field (or equivalent applied experience), • Industry-recognised cloud / GenAI certification (e.g., AWS Certified Generative AI Developer - Professional, or similar), • Prior forward-deployed, solutions-engineering, consulting, or client-facing engineering experience, • Openness to periodic on-site embedding with business teams and occasional international travel, as engagements benefit from it, • Experience within financial services, particularly wealth, private banking, or asset management, • Experience designing or contributing to AI governance, model validation, or guardrail frameworks, • Familiarity with JPM-internal AI/ML infrastructure and governance for internal candidates #J-18808-Ljbffr

The Senior AIML Engineer will play a critical role in advancing our artificial intelligence and machine learning capabilities. Based in either Glasgow or Cambridge, this position is essential for driving innovation within our technology team. The role involves developing cutting-edge AI and ML models and systems that will enhance the efficiency and capabilities of our operations. This position is a key part of our strategic aim to advance our technological edge in the marketplace. The successful candidate will lead complex projects, collaborating with cross-functional teams to implement AI solutions that align with business objectives. This role offers an opportunity to work at the forefront of technology, with a focus on practical applications of AI and ML to solve real-world problems. As a senior member of the team, the AIML Engineer will mentor junior engineers and contribute to the strategic planning of AI initiatives. • Develop and deploy advanced AI and ML models to improve operational efficiency and effectiveness., • Lead the design and implementation of AI solutions, ensuring they align with business goals and industry standards., • Collaborate with cross-functional teams to integrate AI technologies into existing systems and processes., • Conduct research and stay updated with the latest advancements in AI and ML to incorporate cutting-edge techniques into projects., • Oversee the data collection and preprocessing processes to ensure high-quality data for model training., • Provide technical leadership and mentorship to junior members of the engineering team., • Evaluate and optimize AI models for performance and scalability., • Prepare technical documentation and presentations for stakeholders to communicate AI project results and insights., • Extensive experience with AI and ML frameworks such as TensorFlow, PyTorch, or similar., • Proven track record of designing and implementing AI solutions in a business environment., • Strong programming skills in Python, R, or Java with a focus on AI and ML applications., • Experience in leading AI-focused projects and working in cross-functional teams., • Strong analytical and problem-solving skills with the ability to interpret complex data into actionable insights., • Excellent communication skills to articulate complex AI concepts to non-technical stakeholders., • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for AI deployments. Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. #J-18808-Ljbffr

We’re on a mission to fix dental software - and we’re not playing small. Our platform replaces clunky, outdated systems with modern, cloud-based, AI-powered technology built to actually work at scale. From practice management to imaging to revenue cycle automation, we’re tearing down the old infrastructure and rebuilding the future of dentistry. Planet DDS is the fastest-growing provider of dental practice management solutions and the #1 cloud platform for DSOs and multi-location groups. Here, you won’t just join a team - you’ll join a movement. We want bold thinkers who are ambitious enough to push limits, empathetic enough to work as one, and accountable enough to own big outcomes. Trust is our currency, collaboration is our edge, and impact is our fuel. If you’re ready to grow fast, challenge the status quo, and help reinvent an entire industry, Planet DDS is where you belong. To learn more, visit:Planet DDS. *This is a hybrid position working 1-2x per week in our Glasgow, Scotland office. The Site Reliability Engineer IV will lead the design, implementation, and optimization of our production infrastructure and reliability practices. This senior-level, hands-on role will be instrumental in building scalable, resilient, and secure systems, while mentoring the SRE team and influencing architectural decisions across our SaaS platforms. The SRE IV will work closely with Engineering, Product, Security, and DevOps teams to ensure operational excellence, minimize downtime, and deliver a seamless experience to our users. • Design and maintain highly available, fault-tolerant, and scalable cloud infrastructure in Azure (AWS experience a plus)., • Lead incident response efforts, conduct post-mortems, and implement preventive measures to improve system reliability., • Define and implement SLOs, SLIs, and SLAs to measure and improve service performance., • Partner with Engineering teams to embed reliability best practices into application design and deployment., • Drive automation of operational tasks through Infrastructure as Code (Terraform) and configuration management tools., • Optimize monitoring, alerting, and logging systems to proactively detect and resolve issues., • Lead efforts to improve cost efficiency, system performance, and operational processes., • Collaborate with security teams to ensure compliance, vulnerability management, and secure system design., • Provide technical mentorship to junior and mid-level SREs., • Participate in on-call rotations to support critical systems and services., • Leverage AI tools (e.g., Claude, GitHub Copilot) to accelerate incident triage, root-cause analysis, runbook and post-mortem drafting, and Infrastructure as Code and automation development, while validating all AI-generated output before production use., • 8+ years of experience in Site Reliability Engineering, DevOps, or related infrastructure roles, with at least 2 years in a senior or lead capacity., • Proven expertise in designing and supporting large-scale SaaS platforms in Microsoft Azure (AWS or GCP a plus)., • Advanced proficiency with Terraform and scripting languages (Python, PowerShell, Bash)., • Strong understanding of CI/CD tools such as Azure DevOps, Jenkins, or equivalent., • Solid background in Linux and Windows system administration., • Experience with containerization and orchestration (Docker, Kubernetes)., • Proficiency in observability tools such as Prometheus, Grafana, Datadog, or similar., • Strong troubleshooting, analytical, and problem-solving skills., • Excellent communication skills, with the ability to collaborate across teams and present solutions to technical and non-technical audiences., • Hands-on experience applying AI tools (e.g., Claude or similar) to troubleshooting, scripting, automation, and observability workflows, with sound judgment on reviewing AI output and protecting sensitive data., • Bachelor’s degree in Computer Science, Information Systems, or related technical field; equivalent experience considered., • At Planet DDS, we believe AI is a critical enabler of innovation and productivity. All Planeteers are expected to actively leverage AI-powered tools and technologies, where appropriate, to enhance efficiency, improve decision-making, and deliver greater impact in their roles. Embracing continuous learning and the responsible use of AI is an essential part of how we work., • Medical and Dental insurance, • Life Assurance and Income Protection, • Employee Well-Being program, • 8 Public Holidays, • 23 Days of Annual Leave, • Company Paid Sick Time, • Volunteer Time Off, • Technology Stipend, • Employee Referral program, • Additional perk and voluntary benefit programs Salary is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. This position is also eligible for variable pay as part of the total compensation package. • Collaborative – Working independently and across teams, we create scalable solutions to enable company growth, • Empathetic – We are educated on the experience of our customers and feel vested in their success, • Accountable – We feel ownership for the quality of our work and take pride in the positive outcomes, • Trustworthy – We operate with integrity and honest, making promises we know that we can keep, • Ambitious – We are driven by our ability to make a long-term, positive impact on the lives of dental market leaders Planet DDS is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by applicable law. #J-18808-Ljbffr

Are you passionate about leveraging technology to make a global impact? As a Lead Software Engineer, you’ll join a collaborative team in Glasgow, where your ideas and expertise will help shape market-leading products. You’ll have the opportunity to drive innovation using the latest AI toolsets, contribute to business advancement, and grow your career in a supportive, agile environment. We value diversity, creativity, and a commitment to excellence—come help us deliver trusted solutions that make a difference. As a Lead Software Engineer in the Asset Management Client Service Team, you will create strategic software products that support our global business objectives. You will work within an agile team to enhance, build, and deliver secure, stable, and scalable technology solutions. Your role will focus on developing agentic capabilities powered by AI, transforming the client service experience. You’ll collaborate across technical areas, drive innovation, and help foster a culture of inclusion and respect. • Execute creative software solutions, design, development, and technical troubleshooting, • Expand digital client experiences by leveraging AI and machine learning, • Develop secure, high-quality production code and review code written by others, • Utilize Ai4Tech toolsets to support development, • Identify and automate remediation of recurring issues to improve operational stability, • Demonstrate leadership by bringing ideas, passion, and ownership to the team and products, • Lead evaluation sessions with vendors, startups, and internal teams to assess architectural designs and technical credentials, • Drive communities of practice across Software Engineering to promote new technologies, • Contribute to a team culture of diversity, equity, inclusion, and respect, • Formal training or certification in software engineering concepts and advanced applied experience, • Advanced knowledge and experience in backend development (Java, Spring), • Advanced knowledge and experience in frontend development (React and front-end testing frameworks), • Practical experience designing, developing, or deploying agentic systems (autonomous agents, AI-powered assistants, workflow automation agents, or multi-agent frameworks), • Hands-on experience with agentic architectures, frameworks, or platforms (LangChain, AutoGPT, OpenAI Agents, or similar), • Proficiency in automation and continuous delivery methods, • Proficient in all aspects of the Software Development Lifecycle, • Advanced understanding of agile methodologies, including CI/CD, application resiliency, and security, • Demonstrated proficiency in software applications and technical processes within a technical discipline (cloud, artificial intelligence, machine learning, mobile, etc.), • In-depth knowledge of the financial services industry and their IT systems, • Practical cloud native experience, • Experience leading agile teams or technical projects, • Familiarity with asset management business processes, • Strong communication and collaboration skills, • Experience with additional AI/ML frameworks or platforms, • Knowledge of security best practices in software development, • Experience with DevOps tools and practices, • Ability to mentor and support junior engineers #J-18808-Ljbffr

We're looking for a hands-on AI engineer ready to take their career to new heights. Join the ranks of top talent at one of the world's most influential companies. As an Applied AI ML Lead - Vice President at JPMorgan Chase within the International Private Bank (IPB) Technology Artificial Intelligence and Machine Learning (AIML) Team, you provide deep engineering expertise and work across agile teams to enhance, build, and deliver trusted market-leading AI products in a secure, stable, and scalable way. You will translate business problems into agentic AI and machine learning solutions, taking models from concept through to production-grade services with measurable client and advisor impact. You will be responsible to the Head of AIML in IPB Tech for the end-to-end design, build, and production delivery of priority IPB AI/ML use cases, with particular focus on agentic AI applications, generative AI guardrails, and production ML supporting advisor and client journeys. • Owns end-to-end delivery of priority IPB AI/ML use cases, from problem framing and business case through to deployed, monitored production services with measurable advisor and client impact, • Leads the engineering build of agentic AI and LLM-powered products serving IPB advisors and clients across the globe., • Sets the engineering quality bar for the team's AI products through code reviews, technical design, and pairing with peers and junior engineers, • Establishes and operates Responsible AI controls in production (guardrails, evaluation frameworks, observability, and model risk controls) to firm-wide standards, • Acts as a primary technical partner to IPB business stakeholders, surfacing new AI/ML opportunities and shaping them into funded workstreams, • Represents the AIML team in firm-wide AI/ML governance and engineering forums; ensures cross-border, regulatory, and data-privacy considerations are reflected in solution design, • Contributes to the team's GenAI education programme through training content, knowledge-sharing sessions, and mentoring of junior engineers and interns, • Champions the firm's culture of diversity, Opportunity, inclusion, and respect, • Formal training or certification in software engineering concepts and expert applied experience, • Advanced proficiency in Python and modern software engineering practices (testing, design patterns, code review, version control), • Fluent with AI coding tools (e.g., Claude Code, GitHub Copilot) as a core part of day-to-day software development, with the judgement to know when to lean on them and when not to, • Hands‑on experience building, evaluating, and deploying machine learning models into production, • Practical experience with Large Language Models, including prompt engineering, RAG, fine‑tuning, agentic frameworks, skills., • Demonstrated experience delivering system design, application development, testing, and operational stability for ML or data‑intensive systems, • Strong communication skills with confidence engaging senior business stakeholders and translating technical concepts for non‑technical audiences, • Experience applying new methods to determine solutions for complex technology problems across multiple technical disciplines, • MSc in Computer Science, Data Science, Engineering, or a related quantitative field, • Postgraduate‑level qualification in data science, artificial intelligence, or machine learning, • Practical experience with CI/CD, containerization, and cloud‑native deployment patterns, • Experience within financial services technology, particularly wealth, private banking, or asset management, • Experience with Databricks, Kubernetes, or comparable ML / cloud platforms, • Experience designing or contributing to AI governance, model validation, or guardrail frameworks 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 Asset & Wealth Management delivers industry‑leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals. Hands‑on Vice President‑level AI engineer to build and ship agentic AI and production ML solutions for the IPB, based in Glasgow. #J-18808-Ljbffr

We're looking for a hands-on DevOps / SRE engineer ready to take their career to new heights. Join the ranks of top talent at one of the world's most influential companies. As a Lead DevOps / SRE Engineer - Vice President at JPMorgan Chase within the International Private Bank (IPB) Technology Artificial Intelligence and Machine Learning (AIML) Team, you will own the automation, reliability, and production operations of our agentic AI and machine learning products. As the team takes end-to-end ownership of the platforms it runs, you will build the CI/CD, observability, and incident-management practices that keep those services stable, secure, and performant across international markets. This is a Vice President-level role and an integral part of the IPB Tech AIML team, reporting to the Head of AI, IPB Tech. • Owns and evolves the team's CI/CD pipelines, release automation, and deployment tooling, • Establishes reliability practices (SLOs, error budgets, runbooks) and leads production incident response and post-incident review, • Builds and operates observability across the team's AI/ML services (metrics, logging, tracing, alerting), • Automates infrastructure provisioning and configuration through infrastructure-as-code, • Implements operational security, secrets management, and access controls to firm-wide standards, • Partners with platform, data, and AI engineers to harden services for production and reduce dependency on external functions, • Mentors junior engineers on DevOps and reliability practices and sets standards through review, • Champions the firm's culture of diversity, Opportunity, inclusion, and respect, • Formal training or certification on software engineering or systems concepts and applied experience, • Advanced proficiency with infrastructure-as-code (e.g., Terraform) and scripting in Python and/or shell, • Deep hands-on experience with CI/CD tooling and building release automation at scale, • Strong experience with Kubernetes, containerisation, and cloud-native operations, • Proven experience running production services: observability, on-call, incident response, and reliability engineering, • Understanding of production security and change-management controls, • Strong communication skills and the ability to set operational standards across a team, • Formal SRE experience in a regulated or high-availability environment, • Master's degree in Computer Science, Engineering, or a related technical field (or equivalent applied experience), • Experience operating ML / LLM workloads in production (MLOps, inference reliability, cost/performance management), • Experience within financial services technology, • Familiarity with JPM-internal platform, cloud, and observability tooling for internal candidates 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 Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals. Lead reliable AI products by owning automation, operations, and incident practices that empower teams to build, deploy, and run services. #J-18808-Ljbffr

Senior Salesforce Marketing Cloud Engineer to develop marketing solutions, enhance customer interactions, and drive business growth.Responsibilities include defining technical specifications, optimizing the SFMC environment, and mentoring junior engineers.

Salary expectations: Junior Web Developer: £27,000 – £35,000 Software Developer: £35,000 – £55,000 Full-Stack Developer: £40,000 – £65,000 We support you into employment We focus on outcomes, not just training.

Keywords: Website, Web Developer, Business Development, Website, Web Design, Front End, Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App Developer, Software Developer, Data Scientist, Cl

Solution Architect Glasgow (Hybrid 3 days on-site) Circa £70,000 We're working with one of Scotland's fastest-growing technology businesses as they continue to scale their cloud and infrastructure capability. They're looking for an experienced Solution Architect to take ownership of complex managed

Key Responsibilities \n \n Provide 2nd line support across multiple UK locations \n Troubleshoot and resolve hardware, software, network and user issues \n Support Microsoft 365, Active Directory/Entra ID and endpoint technologies \n Install, configure and maintain laptops, desktops, printers and pe

Enthusiastic about starting a career in coding? Keywords: Website, Web Developer, Business Development, Website, Web Design, Front End, Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App D

Job Description \n We're partnering with a leading industrial service organisations to recruit a 2nd Line IT Technical Support Engineer as part of a significant IT transformation programme. Key Responsibilities \n \n Provide 2nd line support across multiple UK locations \n Troubleshoot and resolve h

Enthusiastic about starting a career in coding? Keywords: Website, Web Developer, Business Development, Website, Web Design, Front End, Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App D

Job Description \n We're partnering with a leading industrial service organisations to recruit a 2nd Line IT Technical Support Engineer as part of a significant IT transformation programme. Key Responsibilities \n \n Provide 2nd line support across multiple UK locations \n Troubleshoot and resolve h

Keywords: Website, Web Developer, Business Development, Website, Web Design, Front End, Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App Developer, Software Developer, Data Scientist, Cl

Job Description \n We're partnering with a leading industrial service organisations to recruit a 2nd Line IT Technical Support Engineer as part of a significant IT transformation programme. Key Responsibilities \n \n Provide 2nd line support across multiple UK locations \n Troubleshoot and resolve h

Enthusiastic about starting a career in coding? Keywords: Website, Web Developer, Business Development, Website, Web Design, Front End, Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App D

You will likely have: \n \n Previous experience in a 2nd Line Support Engineer position \n Strong troubleshooting skills across desktop, server and Microsoft technologies \n Experience supporting Microsoft 365 environments \n Knowledge of Active Directory and Entra ID \n Experience with antivirus, V

Enthusiastic about starting a career in coding? Keywords: Website, Web Developer, Business Development, Website, Web Design, Front End, Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App D

Job Description \n We're partnering with a leading industrial service organisations to recruit a 2nd Line IT Technical Support Engineer as part of a significant IT transformation programme. Key Responsibilities \n \n Provide 2nd line support across multiple UK locations \n Troubleshoot and resolve h

Enthusiastic about starting a career in coding? Keywords: Website, Web Developer, Business Development, Website, Web Design, Front End, Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App D

Job Description \n We're partnering with a leading industrial service organisations to recruit a 2nd Line IT Technical Support Engineer as part of a significant IT transformation programme. Key Responsibilities \n \n Provide 2nd line support across multiple UK locations \n Troubleshoot and resolve h

Enthusiastic about starting a career in coding? Keywords: Website, Web Developer, Business Development, Website, Web Design, Front End, Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App D

Job Description \n We're partnering with a leading industrial service organisations to recruit a 2nd Line IT Technical Support Engineer as part of a significant IT transformation programme. Key Responsibilities \n \n Provide 2nd line support across multiple UK locations \n Troubleshoot and resolve h

Keywords: Website, Web Developer, Business Development, Website, Web Design, Front End, Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App Developer, Software Developer, Data Scientist, Cl

Key Responsibilities \n \n Provide 2nd line support across multiple UK locations \n Troubleshoot and resolve hardware, software, network and user issues \n Support Microsoft 365, Active Directory/Entra ID and endpoint technologies \n Install, configure and maintain laptops, desktops, printers and pe

Job Description \n We're partnering with a leading industrial service organisations to recruit a 2nd Line IT Technical Support Engineer as part of a significant IT transformation programme. Key Responsibilities \n \n Provide 2nd line support across multiple UK locations \n Troubleshoot and resolve h

Any experience with AI, automation and digital service design principles \n Work closely with the wider team such as BA's, PM's and engineers to ensure the products meet business requirements.

You will likely have: \n \n Previous experience in a 2nd Line Support Engineer position \n Strong troubleshooting skills across desktop, server and Microsoft technologies \n Experience supporting Microsoft 365 environments \n Knowledge of Active Directory and Entra ID \n Experience with antivirus, V

Any experience with AI, automation and digital service design principles \n Work closely with the wider team such as BA's, PM's and engineers to ensure the products meet business requirements.

Job Description \n We're partnering with a leading industrial service organisations to recruit a 2nd Line IT Technical Support Engineer as part of a significant IT transformation programme. Key Responsibilities \n \n Provide 2nd line support across multiple UK locations \n Troubleshoot and resolve h

Any experience with AI, automation and digital service design principles \n Work closely with the wider team such as BA's, PM's and engineers to ensure the products meet business requirements.

Job Description \n We're partnering with a leading industrial service organisations to recruit a 2nd Line IT Technical Support Engineer as part of a significant IT transformation programme. Key Responsibilities \n \n Provide 2nd line support across multiple UK locations \n Troubleshoot and resolve h

Any experience with AI, automation and digital service design principles \n Work closely with the wider team such as BA's, PM's and engineers to ensure the products meet business requirements.

Job Description \n We're partnering with a leading industrial service organisations to recruit a 2nd Line IT Technical Support Engineer as part of a significant IT transformation programme. Key Responsibilities \n \n Provide 2nd line support across multiple UK locations \n Troubleshoot and resolve h

Any experience with AI, automation and digital service design principles \n Work closely with the wider team such as BA's, PM's and engineers to ensure the products meet business requirements.

What You'll Be Doing \n \n Monitoring, supporting and troubleshooting network infrastructure \n Investigating and resolving network incidents \n Working with routing, switching and network connectivity technologies \n Supporting production environments and maintaining high availability \n Deploying

Any experience with AI, automation and digital service design principles \n Work closely with the wider team such as BA's, PM's and engineers to ensure the products meet business requirements.

What You'll Be Doing \n \n Monitoring, supporting and troubleshooting network infrastructure \n Investigating and resolving network incidents \n Working with routing, switching and network connectivity technologies \n Supporting production environments and maintaining high availability \n Deploying

Any experience with AI, automation and digital service design principles \n Work closely with the wider team such as BA's, PM's and engineers to ensure the products meet business requirements.