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Job Description Purpose of the role To lead and manage engineering teams, providing technical guidance, mentorship, and support to ensure the delivery of high-quality software solutions, driving technical excellence, fostering a culture of innovation, and collaborating with cross-functional teams to align technical decisions with business objectives. Accountabilities Lead engineering teams effectively, fostering a collaborative and high-performance culture to achieve project goals and meet organizational objectives. Oversee timelines, team allocation, risk management and task prioritization to ensure the successful delivery of solutions within scope, time, and budget. Mentor and support team members' professional growth, conduct performance reviews, provide actionable feedback, and identify opportunities for improvement. Evaluation and enhancement of engineering processes, tools, and methodologies to increase efficiency, streamline workflows, and optimize team productivity. Collaboration with business partners, product managers, designers, and other stakeholders to translate business requirements into technical solutions and ensure a cohesive approach to product development. Enforcement of technology standards, facilitate peer reviews, and implement robust testing practices to ensure the delivery of high-quality solutions. Vice President Expectations To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escal... If managing a team, they define jobs and responsibilities, planning for the department’s future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements.. If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.. OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions.. Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment. Manage and mitigate risks through assessment, in support of the control and governance agenda. Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does. Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies. Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions. Adopt and include the outcomes of extensive research in problem solving processes. Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave. Join Barclays as an AI SRE Lead (Lead AI Platform Engineer) and play a pivotal role in shaping the future of our AI platforms and developer ecosystem. You will lead the design, engineering, reliability and operational excellence of large-scale AI-enabled platforms, enabling teams across the organisation to build, deploy and operate innovative AI, machine learning and agentic solutions securely and at scale. Working at the intersection of Site Reliability Engineering, Platform Engineering, Cloud Infrastructure and Artificial Intelligence, you will drive platform strategy, engineering excellence, resilience and automation while ensuring the highest standards of reliability, governance and risk management within a complex regulated environment. Essential Skills AWS Networking/Compute/Storage expert; SRE/DevOps/Platform Engineering leader; strong AI/ML, GenAI & Agentic AI delivery experience; hands‑on Backstage, Coder, CI/CD, IaC, Chaos Engineering and large‑scale cloud deployments. Proven experience building and operating enterprise platforms with reliability, observability, security, resilience and automation as core principles. Strong technology governance, architecture review, risk management and stakeholder leadership experience within complex regulated environments. Desirable Skills Enterprise Technology Governance & Risk Management experience, including architecture governance, security controls, AI governance, regulatory compliance, and operational risk management. Developer Productivity & Engineering Excellence experience driving platform adoption, golden paths, software engineering modernization, developer experience improvements, and engineering operating models. This role is based in Glasgow You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills Our employees are self-disciplined, hard working, curious, trustworthy, humble, and truthful. They make choices according to what is best for the team, they live for opportunities to collaborate and make a difference, and they make us the #1 Top Workplace in the area. #J-18808-Ljbffr

We're looking for a hands-on platform 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 Platform Engineer - Senior VP at JPMorgan Chase within the International Private Bank (IPB) Technology Artificial Intelligence and Machine Learning (AIML) Team, you will design and own the platform, tooling, and infrastructure that our agentic AI and machine learning products depend on. As the team moves from shipping individual use cases to running multiple production platforms and the production tail of new use cases, you will set the engineering standard for deployment, scalability, security, and reliability, and lead the practices that keep our services running. This is a Senior VP-level role and an integral part of the IPB Tech AIML team, reporting to the Head of AI, IPB Tech. • Owns the design and build of the team's platform: deployment pipelines, model serving, containerisation, orchestration, and environment management, • Sets the standard for reliability, observability, and operational excellence across the team's production AI/ML services, • Builds the tooling and paved paths that let AI engineers ship agentic AI and ML products safely and quickly, • Implements platform-level security, secrets management, and access controls to firm-wide standards, • Partners with data and AI engineers to productionise models, and coordinates with external infrastructure functions to reduce operational dependency and risk, • Leads capacity, cost, and performance management for the team's compute and inference workloads, • Mentors platform and DevOps engineers and sets engineering standards through design and code review, • Champions the firm's culture of diversity, Opportunity, inclusion, and respect, • Formal training or certification on software engineering concepts and 5+ years applied experience, • Advanced proficiency in Python and infrastructure-as-code, with modern software engineering practices, • Deep hands-on experience with Kubernetes, containerisation, and cloud-native deployment patterns, • Strong CI/CD experience and a track record of building deployment and release automation, • Experience serving, scaling, and monitoring ML models or data-intensive services in production (MLOps), • Practical experience with observability tooling (metrics, logging, tracing) and production incident response, • Experience operating ML / LLM workloads in production (LLMOps, inference reliability, cost/performance management), • Strong communication skills and the ability to set standards other engineers adopt, • Industry-recognised container / Kubernetes certification (e.g., Certified Kubernetes Application Developer (CKAD), or similar), • Master's degree in Computer Science, Engineering, or a related technical field (or equivalent applied experience), • Site Reliability Engineering (SRE) experience and familiarity with reliability practices (SLOs, error budgets), • Experience within financial services technology, • Familiarity with JPM-internal platform, cloud, and AI/ML infrastructure 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

Hi I’m Colin, Director of Engineering, Europe. How do you feel about software engineers writing product specs, making product decisions, and not breaking down projects into individual tickets? If that sounds exciting (even if a bit scary), read on because I’m looking for an engineering manager to help us build a different type of engineering team and culture at Ashby. We want a team that can take fully owned projects and deliver them with minimal intervention. Engineers should be able to choose what to build, write specs, and set directions. Our processes should encourage ownership, not bureaucracy. Our engineering leaders focus on building their team, coaching them to thrive with ownership, and creating an environment that empowers them to do their best work consistently, with minimal distraction. For junior EMs we limit to around six direct reports, keeping the focus on people rather than processes. We’ve already assembled an experienced, talented, and collaborative team of 25+ engineers. As an engineering manager, you will help me grow and manage this growing team of engineers in Europe. • Provide feedback on product and technical specs to help engineers identify where to cut scope or improve quality. You influence and coach ICs to reach the right decisions., • Grow engineers to handle large, loosely defined projects, delivering them with little intervention. They still ask for help when needed, but the difference is that they’re driving., • Jump into our systems and code to debug a customer issue, ship a small bug fix, or improve our developer experience., • Improve how we generate and simulate data in demo accounts. It’s a project off the critical path that keeps you up to date on the codebase while impacting the business across Engineering, QA, and Sales. I learned early that a supportive manager who asks thoughtful questions can make a huge difference. I also experienced the opposite, which motivated me to become a manager. I love solving deep, complex problems that have long‑term impact on the company and people’s lives. I also enjoy staying technical: I spend mornings writing code to improve tests or abstractions. If I couldn’t be a manager, I’d be happy as an individual contributor. I’m looking for someone who is passionate about both management and being technical, spot patterns, improve processes, and build automation that powers those improvements. • You love being technical and can hold in-depth conversations with direct reports from infrastructure to backend to frontend., • You enjoy management problems. You get excited about driving people to be their best, giving difficult feedback, and building systems that facilitate that., • You hold your team to a high standard and don’t shy away from getting into the details, even with top performers., • You are an excellent and empathetic communicator, able to navigate beliefs, opinions, and past experiences to convince and be open to feedback., • You know what exceptional engineers look like and understand how to recruit them and grow them., • You’re good at thinking about product, business, and design, but you prefer to build a team that makes the best decisions, not to be the sole decision‑maker., • You thrive in high‑trust, high‑autonomy environments. We’re a young startup where leaders wear multiple hats and you’ll build your own high‑speed onboarding through feedback loops., • You don’t enjoy coding or can’t find time to stay up to date on technology., • You got into management only as a growth path option., • You want to make all product decisions instead of empowering your team., • You’re fine with a team of engineers that are early‑career or mid‑career and don’t thrive with ownership or autonomy., • A staff or principal engineer for you is someone who spends most of their time project‑managing or doing architecture reviews., • You are not optimistic or convinced we can build a large engineering team differently than the status quo. You think that at some size processes must be implemented for consistent delivery. Ashby provides talent teams with intelligent, powerful software that identifies where they’re failing and automates many of the tasks that distract recruiters. We focus on a smooth hiring experience, powered by data and automation. We have a strong customer base, revenue growth, and a solid runway backed by investors such as YCombinator. Our culture is built on the belief that a small, talented team with the right environment can build high‑quality software fast. Collaboration happens naturally; we value humility, kindness, and learning. We hold focus time sacred and allow engineers to focus 36 hours out of a 40‑hour week. • Great developer tooling. Our CI/CD finishes quickly and we deploy multiple times a day., • Reusable building blocks to create powerful, customizable products quickly., • AI‑powered tooling that automates mundane tasks such as triaging customer issues, suggesting fixes, and conducting code reviews., • Intro Call (30m) – Discuss your application, align on role responsibilities, and answer questions about Ashby., • Past Experience Deep Dive (1h) – Discuss your past experience as an engineering leader., • Technical Screen (1h) – Add a feature to Ashby; you’ll understand a specific part of the codebase and write less than 15 lines of code., • Coffee Chat with VP of Engineering (1h) – Spend time with our VP of Engineering and get to know each other., • Meet the Team (2h) – You meet the CEO, Engineers, Product Managers, and others on the team. TypeScript (frontend & backend), Node.js, React, Apollo GraphQL, Postgres, Redis. Prior experience is not required. • Competitive salary and equity., • 10‑year exercise window for stock options., • Unlimited PTO with a recommendation of four weeks per year., • Generous equipment, software, and office furniture budget., • $100 per month education budget for conferences and other learning resources. Ashby provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities. Ashby is committed to a fair and transparent hiring process. This advertisement is for an active, existing vacancy within our organization. Artificial intelligence‑driven tools may be used to assist in screening, assessing, and selecting candidates for this position. Compensation Range: £91K ‑ £200K #J-18808-Ljbffr

We're looking for a hands-on senior 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 a Senior AI Engineer 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 AI, 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 international markets, • 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 on AI/ML engineering concepts and 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, and agentic frameworks, • Practical experience with CI/CD, containerisation, and cloud-native deployment patterns, • 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, • 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), • 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, • 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 artificial intelligence solutions from idea to launch, delivering impactful tools for private bank stakeholders in a focused team #J-18808-Ljbffr

We're looking for a hands-on senior 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 a Senior AI Engineer 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 AI, 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 international markets, • 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 on AI/ML engineering concepts and 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, and agentic frameworks, • Practical experience with CI/CD, containerisation, and cloud-native deployment patterns, • 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, • 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), • 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, • Familiarity with JPM-internal AI/ML infrastructure and governance for internal candidates #J-18808-Ljbffr

Job Description We're looking for a hands-on platform engineer ready to take their career to new heights. Join the ranks of top talent at one of the world's most influential companies. Job Description We're looking for a hands-on platform 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 Platform Engineer - Senior VP at JPMorgan Chase within the International Private Bank (IPB) Technology Artificial Intelligence and Machine Learning (AIML) Team, you will design and own the platform, tooling, and infrastructure that our agentic AI and machine learning products depend on. As the team moves from shipping individual use cases to running multiple production platforms and the production tail of new use cases, you will set the engineering standard for deployment, scalability, security, and reliability, and lead the practices that keep our services running. This is a Senior VP-level role and an integral part of the IPB Tech AIML team, reporting to the Head of AI, IPB Tech. Job responsibilities • Owns the design and build of the team's platform: deployment pipelines, model serving, containerisation, orchestration, and environment management, • Sets the standard for reliability, observability, and operational excellence across the team's production AI/ML services, • Builds the tooling and paved paths that let AI engineers ship agentic AI and ML products safely and quickly, • Implements platform-level security, secrets management, and access controls to firm-wide standards, • Partners with data and AI engineers to productionise models, and coordinates with external infrastructure functions to reduce operational dependency and risk, • Leads capacity, cost, and performance management for the team's compute and inference workloads, • Mentors platform and DevOps engineers and sets engineering standards through design and code review, • Champions the firm's culture of diversity, Opportunity, inclusion, and respectRequired Qualifications, Capabilities, And Skills, • Formal training or certification on software engineering concepts and 5+ years applied experience, • Advanced proficiency in Python and infrastructure-as-code, with modern software engineering practices, • Deep hands-on experience with Kubernetes, containerisation, and cloud-native deployment patterns, • Strong CI/CD experience and a track record of building deployment and release automation, • Experience serving, scaling, and monitoring ML models or data-intensive services in production (MLOps), • Practical experience with observability tooling (metrics, logging, tracing) and production incident response, • Experience operating ML / LLM workloads in production (LLMOps, inference reliability, cost/performance management), • Strong communication skills and the ability to set standards other engineers adopt, • Industry-recognised container / Kubernetes certification (e.g., Certified Kubernetes Application Developer (CKAD), or similar), • Master's degree in Computer Science, Engineering, or a related technical field (or equivalent applied experience)Preferred Qualifications, Capabilities, And Skills, • Site Reliability Engineering (SRE) experience and familiarity with reliability practices (SLOs, error budgets), • Experience within financial services technology, • Familiarity with JPM-internal platform, cloud, and AI/ML infrastructure for internal candidatesABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team J.P. Morgan 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

Join us to create a groundbreaking source code intelligence platform that transforms how we automate SDLC controls and compliance. You will work hands-on with innovative technologies, collaborate with experienced engineers, and grow your skills in program analysis and large-scale search. We value your curiosity and drive to build reliable, impactful systems. Experience mentorship from senior leaders and a clear path for career advancement. Your ideas and contributions will help redefine developer workflows and compliance automation. As a Software Engineer III at JPMorgan Chase within our platform engineering team, you will build and maintain services and pipelines that power our code intelligence platform. You will connect semantic-tree and code-index data to engineering and controls workflows, implementing integrations and automated checks under the guidance of senior engineers. You will take ownership of your components, ensuring their reliability and correctness in production. Your work will directly impact developer experience and compliance automation, and you will collaborate with cross-functional teams to shape the platform's evolution. • Build and maintain scalable services and pipelines for semantic-tree and code-index data, • Implement integration points with CI/CD pipelines, PR checks, policy engines, and developer tooling, • Translate compliance and control requirements into automated checks against code structure, • Write tests, monitoring, and documentation for owned components, • Debug and resolve issues across the stack, from data pipelines to integrations, • Participate in design discussions and code reviews, contributing ideas to improve architecture, • Collaborate with control owners and engineering teams to understand usage needs, • Take ownership of reliability and correctness in production environments, • Apply best practices in software engineering and automation, • Communicate effectively with team members and stakeholders, • Stay current with industry trends in code intelligence and compliance automation, • Demonstrate proficiency in Java or Python and apply strong knowledge of AI concepts and experience in program analysis or structural code representations, • Build and deliver moderately complex features independently, • Develop and maintain backend services and data pipelines and write clean, well-tested code and maintain documentation, • Translate technical requirements into reliable, automated solutions, • Collaborate effectively in cross-functional teams and communicate technical information clearly, • Adapt to evolving technologies and requirements and manage multiple tasks and prioritize effectively, • Uphold inclusive and ethical standards in engineering, • Experience with static analysis, ASTs, code parsing, or structural code representations, • Familiarity with search/indexing systems and large-scale data pipelines, • Exposure to SDLC processes and compliance/controls engineering, • Experience in regulated enterprise environments, • Knowledge of CI/CD pipelines and developer tooling integrations, • Interest in mentoring or supporting junior engineers, • Experience working in agile development environments You will gain hands-on experience building novel developer infrastructure at the intersection of program analysis, large-scale search, and regulatory compliance. Enjoy direct mentorship from a Principal Engineer and a clear growth path as the platform and team scale. Your work will help automate critical controls and shape the future of developer workflows. 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

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

Avensys is a reputed global IT professional services company headquartered in Singapore. Our service spectrum includes enterprise solution consulting, business intelligence, business process automation and managed services. Given our decade of success, we have evolved to become one of the top trusted providers in Singapore and service a client base across banking and financial services, insurance, information technology, healthcare, retail and supply chain. We are currently looking for Dotnet Developer who has proven track record in IT Industry. This is an exciting opportunity to expand your skill set, achieve job satisfaction and work-life balance. More details as below. Role: Dotnet Developer Type: Contract & Onsite • .NET Core (6 or above), • C#, • ASP.NET, • WCF Services, • Web APIs, • MS SQL, • DevOps practices, • SonarQube, • Unit Testing Frameworks, • Test-Driven Development (TDD), • TeamCity, • Jenkins Seniority level Mid-Senior level Employment type Contract Job function Business Development Industries IT Services and IT Consulting Referrals increase your chances of interviewing at Avensys Consulting by 2x Get notified about new Dotnet Developer jobs in Glasgow City, Scotland, United Kingdom. #J-18808-Ljbffr

Location: Glasgow Salary: Competitive Salary + Package (dependent on experience) Career level: Specialist/Consultant Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge. We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too. “Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and with the communities in which we work and live. It is personal to all of us.” – Julie Sweet, Accenture CEO As a team: Working across industry groups, our Data & AI team combines deep technology, business and industry expertise to design and deliver some of the largest, most challenging and highest profile data and AI solutions in the world. We operate across Financial Services, Resources, Products, Communications and Health & Public Services. Our practice is built around three strategic capabilities: AI Platform Engineering, AI Pipelines, and Data Products. Together these capabilities cover the full spectrum of modern data and AI delivery — from the cloud infrastructure and platforms that underpin AI workloads, through the pipelines that move and transform data at scale, to the data products that turn engineering effort into lasting business value. As a Data & AI Engineer, you will join as an entry point into this capability, working across our three areas and developing your skills and specialisms as you grow. Our engineers work in an AI-augmented delivery model — using GenAI tooling as part of everyday engineering practice, applying AI‑assisted approaches to how we design, build, test and document, and creating data and platform foundations that are ready for the AI and agentic systems our clients are building and running. You’ll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways. If you’re looking for a challenging career working in a vibrant environment with access to training and a global network of experts, this could be the role for you. • Building and operating cloud data and platform solutions across modern cloud and data platforms including Azure, AWS, GCP, Databricks, Microsoft Fabric and Snowflake, • Developing and maintaining scalable batch and streaming data pipelines, applying ETL/ELT patterns to ingest, validate, normalise, cleanse and transform data at scale, • Building and supporting cloud platform infrastructure using Infrastructure as Code tools such as Terraform, Bicep or CloudFormation, contributing to the automated provisioning and management of cloud environments, • Implementing CI/CD pipelines for data and platform solutions using Git, Azure DevOps or GitHub Actions, including AI-assisted approaches to automated testing and documentation as part of standard delivery practice, • Applying data modelling principles — including dimensional/Kimball, medallion architecture and source-to-target mapping — using AI tooling to draft and iterate models, with the ability to critically review outputs for correctness and fitness for purpose, • Implementing data quality, lineage, observability and monitoring capabilities, applying automation and AI-assisted tooling to build scalable, self-describing pipelines and platforms, • Supporting cloud platform operations including networking, identity and access management, security fundamentals and policy adherence, • Using GenAI and AI-assisted development tools to accelerate engineering delivery — writing, testing and documenting with AI assistance and applying engineering judgement to validate and correct generated outputs, • Developing a working understanding of agentic concepts — including how autonomous and human-in-the-loop AI systems interact with data and platform infrastructure — to inform how you design and build solutions that are fit for agentic consumption, • Collaborating with architects, product engineers and business stakeholders to understand requirements and contribute to solutions that meet both technical and business needs, • Cloud engineering across one or more of: Azure, AWS, GCP, Databricks, Microsoft Fabric or Snowflake, • Python and SQL, with strong engineering fundamentals, • Batch and/or streaming pipeline development, or cloud infrastructure and platform engineering — or both, • CI/CD tooling for data and platform delivery (Git, Azure DevOps, GitHub Actions), • Practical use of GenAI or AI-assisted development tools (e.g. GitHub Copilot, Cursor, Databricks Assistant or similar) in day-to-day engineering work, • Some familiarity with AI-ready architecture concepts — including awareness of how engineering decisions around quality, latency, schema, security and lineage affect the reliability of downstream AI and ML systems, • A basic understanding of agentic AI concepts and how autonomous systems interact with and depend upon data and platform infrastructure You should apply if: You don’t need to tick every box on this list. We’re looking for curious, driven technologists who have demonstrable experience across a number of the skills and technologies above, and the appetite to grow into the rest. If you relish a challenge, embrace learning as part of your everyday work, and want to be part of a team that pushes boundaries and holds itself to a high standard — we want to hear from you. • Data modelling experience including dimensional design, medallion architecture or source-to-target mapping, • Hands-on experience building pipelines that support agentic workflows or LLM-based applications, • Familiarity with data product principles: discoverability, reusability, quality contracts and SLAs, • Hands-on experience with Decision Intelligence Platforms (e.g. Palantir, Quantexa), • Infrastructure as Code experience (Terraform, Bicep, CloudFormation or similar), • Cloud networking, identity, access management or security engineering experience, • Familiarity with policy-as-code or platform governance controls, • Relevant cloud or data platform certifications (e.g. Azure Data Engineer Associate, AWS Data Analytics Specialty, Databricks Certified Associate Developer, AWS Solutions Architect Associate), • AI or ML engineering certifications (e.g. Databricks Generative AI Engineer, AWS Machine Learning Specialty, Google Professional ML Engineer) At Accenture, in addition to a competitive basic salary, you will also have an extensive benefits package which includes 25 days’ vacation per year, private medical insurance and 3 extra days’ leave per year for charitable work of your choice! Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the first‑class services we are known for. Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialised skills across more than 40 industries, we offer Strategy and Consulting, Interactive, Technology and Operations services — all powered by the world’s largest network of Advanced Technology and Intelligent Operations centres. Our 700,000+ people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com. Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, or gender identity, or any other basis as protected by applicable law. Closing Date for Applications: 18/12/2026 #LI-EU Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities. Visit us at www.accenture.com We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. #J-18808-Ljbffr

Work Type: Hybrid / Open for full-time & Contract At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron's progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,700+ and has 55 offices in 20 countries within key global markets. For more information on the company, please visit our website or LinkedIn community. Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and an affirmative-action employer. Our Diversity, Equity, and Inclusion (DEI) initiative 'Same Difference' is committed to fostering an inclusive culture - promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant's gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We are seeking a multi-talented developer that will focus on designing and developing highly available and scalable solutions to manage the firm wide storage repository including storage provisioning, monitoring, alerting, auditing, inventorying, etc. In addition to architecting and integrating a storage solution working with 3rd party vendors, the candidate will develop in-house applications that will become part of the technology platform for the business. The ideal candidate will also design storage tools on problem management and preventive maintenance (alert and capacity management). Additionally, the candidate needs to understand storage virtualization, automation, storage provisioning, distributed and scale-out file systems, software defined storage solutions, emerging technologies in infrastructure automation, observability, etc. Ability to work as part of a global team is a requirement. In addition, the candidate must be able to listen to customer requirements and be able to advise, discuss and articulate technical solutions effectively. It would also be desirable that the candidate has relevant experience (intermediate to advanced preferred) in deploying, operating, and administering a Linux operating system in an enterprise level ecosystem. • Experienced in software development and proficient in one or more of the following programming languages - Python, Perl, • Experience with SDLC (software development lifecycle) best practices with large software development projects is a must., • Good knowledge in Computer Science fundamental, • Good organizational and English communication skills, prioritization of multiple projects and objective., • Familiarity with Object Oriented concepts and SQL programming ., • Knowledge of storage technologies and disciplines namely, Fibre Channel, ISCSI, SCSI, NFS, CIFS, POSIX, Object Storage, SAS, SATA, FLASH (NVME, SSD, etc.), RAID, Erasure Coding, Distributed/Scale-out Storage, File systems, High-availability methods, working knowledge of databases etc. are strongly preferred., • Understanding networking protocols and connectivity preferred., • System Architecture experience within enterprise UNIX (RHEL)/Windows Server environments, Container environments (RH Open Shift/Kubernetes/Docker, etc.) and Cloud environments (Azure/AWS/Google) is highly desirable but not required., • Understanding of Client/Server, Scale-out architectures, virtualization, performance, and capacity management strongly preferred., • Effective troubleshooting skills across O/S, network, and storage., • Knowledge in the following vendor products is preferred but not required: NetApp 7mode/cDOT/Engenio, IBM Spectrum Scale (aka GPFS), HDS Storage Arrays/HCP, EMC Atmos, Brocade SAN/FOS, Veritas Storage Foundation Suite, Sybase, DB2. Skills Proficiency: Advanced (in Programming)/Intermediate + (in Storage and/or Linux). #J-18808-Ljbffr

Join to apply for the Java Developer - Software Engineer II role at JPMorganChase Join to apply for the Java Developer - Software Engineer II role at JPMorganChase Get AI-powered advice on this job and more exclusive features. Job Description You’re ready to gain the skills and experience needed to grow within your role and advance your career — and we have the perfect software engineering opportunity for you. Job Description You’re ready to gain the skills and experience needed to grow within your role and advance your career — and we have the perfect software engineering opportunity for you. As a Software Engineer II at JPMorgan Chase within the CTO Office division, you will be part of an agile team dedicated to enhancing, designing, and delivering software components for the firm's cutting-edge technology products in a secure, stable, and scalable manner. As an emerging member of the software engineering team, you will execute software solutions through the design, development, and technical troubleshooting of various components within a technical product, application, or system, while acquiring the skills and experience necessary to advance in your role. Job Responsibilities • Executes standard software solutions, design, development, and technical troubleshooting, • Writes secure and high-quality code using the syntax of at least one programming language with limited guidance, • Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications, • Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation, • Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity, • Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development, • Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems, • Adds to team culture of diversity, opportunity, inclusion, and respect Required Qualifications, Capabilities, And Skills • Formal training or certification on software engineering concepts and expanding applied experience, • Hands-on practical experience in system design, application development, testing, and operational stability, • Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages, • Demonstrable ability to code in one or more languages, ideally Java, • Experience across the whole Software Development Life Cycle, • Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security, • Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Preferred Qualifications, Capabilities, And Skills • Familiarity with modern front-end technologies, • Exposure to cloud technologies ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success. • Not Applicable, • Full-time, • Engineering and Information Technology Referrals increase your chances of interviewing at JPMorganChase by 2x Glasgow, Scotland, United Kingdom 3 days ago Glasgow, Scotland, United Kingdom 1 week ago Glasgow, Scotland, United Kingdom 4 days ago Glasgow, Scotland, United Kingdom 4 days ago Glasgow, Scotland, United Kingdom 3 months ago Glasgow, Scotland, United Kingdom 2 weeks ago Glasgow, Scotland, United Kingdom $35,000.00-$40,000.00 2 months ago Glasgow, Scotland, United Kingdom 1 week ago Glasgow, Scotland, United Kingdom 1 month ago Glasgow, Scotland, United Kingdom 2 weeks ago Glasgow, Scotland, United Kingdom 1 month ago Glasgow, Scotland, United Kingdom 19 hours ago Glasgow, Scotland, United Kingdom 1 week ago Glasgow, Scotland, United Kingdom 2 weeks ago Glasgow, Scotland, United Kingdom 1 week ago Glasgow, Scotland, United Kingdom 4 days ago Glasgow, Scotland, United Kingdom 3 weeks ago Glasgow, Scotland, United Kingdom 4 days ago Glasgow, Scotland, United Kingdom 16 hours ago Glasgow, Scotland, United Kingdom 2 weeks ago Glasgow, Scotland, United Kingdom 16 hours ago Glasgow, Scotland, United Kingdom 5 days ago Glasgow, Scotland, United Kingdom 4 days ago Glasgow, Scotland, United Kingdom 2 weeks ago East Kilbride, Scotland, United Kingdom 1 day ago Glasgow, Scotland, United Kingdom 2 months ago Glasgow, Scotland, United Kingdom 3 weeks ago Glasgow, Scotland, United Kingdom 6 days ago Glasgow, Scotland, United Kingdom 1 week ago Glasgow, Scotland, United Kingdom 2 weeks ago Glasgow, Scotland, United Kingdom 4 weeks ago We’re unlocking community knowledge in a new way. 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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-18808-Ljbffr

We are seeking an experienced Full Stack Developer with strong expertise in Java and Angular to join a technology-focused team in Glasgow. The successful candidate will be responsible for designing, developing, testing, and maintaining secure, scalable, and high-performing applications. • Develop and maintain full-stack applications using Java, Spring Boot, and Angular., • Design and implement scalable RESTful APIs and backend services., • Build responsive, user-friendly interfaces using Angular, TypeScript, HTML, and CSS., • Collaborate with business analysts, architects, developers, and QA teams., • Write clean, maintainable, and well-tested code., • Perform unit, integration, and automated testing., • Troubleshoot and resolve application issues., • Participate in code reviews and contribute to technical design decisions., • Support continuous integration and delivery practices., • Ensure applications meet security, performance, and quality standards., • Strong commercial experience in Java development., • Hands-on experience with Spring Boot and RESTful web services., • Strong experience with Angular and TypeScript., • Good understanding of HTML5, CSS3, and responsive web development., • Experience working with relational databases and SQL., • Knowledge of software development best practices and design patterns., • Experience with Git and Agile methodologies., • Strong problem-solving and communication skills., • Experience with cloud platforms such as AWS, Azure, or GCP., • Knowledge of Docker, Kubernetes, or CI/CD tools., • Experience with microservices architecture., • Familiarity with messaging technologies and event-driven systems., • Understanding of secure software development and application performance tuning. Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,500+, and has 58 offices in 21 countries within key global markets. For more information on the company, please visit our website or LinkedIn community. At Synechron, we are committed to integrating sustainability into our business strategy, ensuring responsible growth while minimizing environmental impact. Employees play a key role in driving our sustainability initiatives, from reducing our carbon footprint to fostering ethical and sustainable business practices across global operations. All positions are required to adhere to our Sustainability and Health Safety standards, demonstrating a commitment to environmental stewardship, workplace safety, and sustainable practices. #J-18808-Ljbffr

We are looking for a Business Developer for a UK-based role to nurture commercial and technical relationships with clients and expand business horizons across the region. • Creating and developing new and profitable Solar, Wind, and Storage opportunities, from the identification of potential projects to the development phase., • Evaluating the economic and technical feasibility of projects, managing greenfield, co-development, and M&A opportunities, and implementing business development strategies focused on market analysis and project opportunity assessments from financial and technical perspectives., • Playing a key role in originating opportunities in the UK, with an emphasis on analysis, including country-specific research, market intelligence, and preparing internal and external documentation., • Exploring regional market needs, gathering market intelligence, and identifying key topics to incorporate into regional strategies., • Assisting in managing engineering studies, environmental impact assessments, and other technical elements related to projects., • Managing and coordinating with all project stakeholders, including government bodies, co-developers, TSO/DSO, landowners, and consultants., • Supporting project due diligence processes and acquisition closings., • 3+ years of experience in the UK renewable sector., • Bachelor's degree in Engineering, Finance, or a related field. A specialised master’s degree or additional training in renewables is a plus., • Proficiency in Excel and accounting, with prior experience in financial modeling for energy or infrastructure projects; VBA experience is valued., • Excellent analytical and organisational skills., • Strong motivation, proactivity, teamworking, and communication skills., • Knowledge of Spanish is an advantage. #J-18808-Ljbffr