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Intermediate Data Engineer Department: Insurance Retail Employment Type: Permanent - Full Time Location: North West UK - Hybrid Compensation: £40,000 - £45,000 / year Description We're seeking an Intermediate Data Engineer to join our Insurance Retail department, supporting development squads with reliable, automated and cloud-ready data solutions. This role is suited to someone who can combine strong SQL, scripting and AWS experience with modern DevOps practices to build, maintain and improve data pipelines, data services and supporting infrastructure. AI is a key part of the role. You will be expected to use AI-assisted engineering tools responsibly to accelerate development, improve documentation, support analysis and identify opportunities to automate repeatable data engineering and operational tasks. Working closely with engineers, analysts, architects and stakeholders, you will help turn data requirements into maintainable, observable and secure solutions. You will maintain awareness of industry and technology developments, contribute to technical discussions, and support continuous improvement across data engineering, automation and operational practices. The role includes ownership of work throughout its lifecycle, from development and testing through to production support, incident resolution, continuous improvement and knowledge sharing across the department. About CDL CDL is one of the UK's leading software development houses, employing over 600 people at its campus in Stockport. It has a consistent history in the high-volume retail insurance sector. CDL has spearheaded developments in the aggregator, web and telematics space, including connected home, enrichment and self-service solutions. As a result, the company's robust and innovative technologies have enabled its customers to thrive in the highly competitive UK insurance marketplace. We have built a collaborative and creative culture,leveraging AI-driven solutions to enhance our products, processes and decision-making.We pride ourselves on cultivating an inspiring working environment with our employees at the heart of our company. In a nutshell we are the market leading software house in our industry, creating the software, websites & apps for the Insurance & Finance sector across the UK. If you were to go on a price comparison website, approximately 65% of the companies on there are our clients! What You'll Do Building, testing, monitoring and maintaining data pipelines and infrastructure to support the Data Platform using best practices including CI/CD, IaC and DevOps. Apply security best practices across data pipelines, cloud infrastructure and operational processes, ensuring data is protected through appropriate access controls, encryption, monitoring and secure engineering practices Use AWS services and PostgreSQL/AWS RDS knowledge to design, deliver and support scalable, reliable and secure data solutions, ensuring appropriate governance, resilience and protection of business data. Actively embrace AI-assisted engineering practices and demonstrate a willingness to learn, experiment with and responsibly adopt emerging AI tools such as Kiro, GitHub Copilot or equivalent technologies to improve delivery flow, quality, documentation, analysis and operational efficiency. Develop and maintain automated deployment, testing and operational workflows using GitLab pipelines, version control, Terraform/OpenTofu and scripting. Contribute to data quality, lineage, governance and observability practices to ensure data is trusted, traceable, secure and supportable throughout its lifecycle. Investigate data quality, platform reliability, pipeline performance and operational issues, identifying practical improvements, preventative actions and automation opportunities that enable squads to move faster and more safely. Working with business stakeholders, analysts and architects to understand business and technical requirements, designing data models and data structures that support reporting, analytics and operational use cases. Contribute to database and data platform activities such as upgrades, data migrations, schema updates and platform modernisation initiatives. Documenting processes and products, sharing knowledge across the squad and wider business, and supporting the development of less experienced engineers through mentoring, pairing or technical guidance where appropriate. Contribute significantly to small-to-medium feature deliveries and multi-person initiatives, collaborating with engineers and stakeholders to deliver reliable outcomes. About You Hold, or be willing to obtain, a relevant AWS certification that can be registered against the CDL APN. Proven experience working with AWS services relevant to data engineering and operational support, such as RDS, S3, Lambda, ECS, EC2, VPC, CloudWatch and related services. Experience with MySql and Oracle databases would be advantageous. Strong SQL skills, including PostgreSQL experience, query optimisation awareness and the ability to investigate data or performance issues. Good understanding of security principles including least-privilege access, encryption, secrets management, vulnerability remediation and secure handling of sensitive data. Experience with CI/CD pipelines, automated testing and deployment practices using GitLab or similar tooling. Experience with Infrastructure as Code tools such as Terraform, OpenTofu or CloudFormation. Good understanding of version control workflows, branching strategies and GitLab best practice. Experience of, or a strong willingness to learn, AI-assisted engineering tools such as Kiro, GitHub Copilot or similar technologies to improve engineering effectiveness and delivery outcomes. Familiarity with observability and troubleshooting tooling such as Dynatrace, OpenSearch/Elasticsearch or CloudWatch logs. Ability to communicate clearly, analyse problems, work collaboratively and explain technical concepts to both technical and non-technical stakeholders. Familiarity with Agile methodologies and operational tooling such as Jira and ServiceNow. What You'll Get Salary The salary for the role of Intermediate Data Engineer pays up to £45,000p.a. (Level 4) providing a fantastic opportunity for career progression through CDL's clearly defined career framework Your growth and advancement within CDL are only limited by your own ambition and effort. Benefits Hybrid Working (2 Days a Week in the office - SK4 2HD) Flexible working. 25 days holiday to start, increasing by 1 day per 1 year of service up to 30 days. Top employer for 10th year running Excellent training and development platform Opportunities for career progression Health and Wellbeing Programme Virtual activities, lunch and learns, coffee mornings and meetups. Life and health assurance Electric Vehicle Scheme Established Recognition Award System Great Parental Benefits Diversity and Inclusion network Pension scheme Community projects and volunteer days Refer a friend bonus Campus Benefits: On-site free parking Open plan modern offices Quiet Spaces are also available Shuttle bus to and from the station Subsidised restaurant Games room, pool & table-tennis tables and chill out zone Annual Hackathon & Deep Racer Events Social activities, regular social events through our social group Xtra, including a summer BBQ, competitions, bowling, go-karting, football games, Winter party and much more! Car wash, barber, yoga classes, boot camp and massage services all on site Cycle to work scheme Shower and dry rooms Diversity and inclusion: We're on a journey to keep innovating, that means welcoming new ideas and ways of thinking. CDL recognises that building a diverse workforce is critical to the success of our business. We strongly encourage applications from a diverse talent pool and welcome the opportunity to discuss flexibility requirements and workplace adjustments with all our applicants.

The Tripadvisor Group connects people to experiences worth sharing, and aims to be the world's most trusted source for travel and experiences. We leverage our brands, technology, and capabilities to connect our global audience with partners through rich content, travel guidance, and two-sided marketplaces for experiences, accommodations, restaurants, and other travel categories. The subsidiaries of Tripadvisor, Inc. (Nasdaq: TRIP), include a portfolio of travel brands and businesses, including Tripadvisor, Viator, and TheFork. About the Data Platform Team Our Data Platform team is the engineering backbone of Tripadvisor's data ecosystem. Formed from the core fundamentals of our Data Engineering and Software Engineering (Data Platform) groups, this unified team combines deep data pipeline expertise with robust platform engineering capabilities. We are responsible for providing software and infrastructure that enable Tripadvisor to better understand visitor preferences, power experimentation across all surfaces (website, mobile app, and customer communications), and drive GenAI, Analytical, and DSML initiatives at petabyte scale. Our team builds and maintains: Streaming and batch data platforms that unlock data across Tripadvisor ETL pipelines and data models serving terabytes and growing datasets in Snowflake, BigQuery, and Hive, Orchestration, scheduling, and ETL generation tools to support cloud migrations and petabyte-scale operations, Tracking instrumentation, information architecture, and data governance tooling for business-critical analytics. We collaborate closely with Product, Analytics, Data Science, CRM, Marketing, Finance, and Machine Learning teams across Tripadvisor's global engineering organization. Tripadvisor is looking for a Data Engineer II to join our fast-moving Data Platform group. In this role, you will design, build, and sustain the data infrastructure that powers the world's most trusted travel platform. You'll bring both strong software engineering fundamentals and hands on data engineering expertise - writing production-quality Java and Python, architecting reliable pipelines, and delivering end-to-end solutions that scale to hundreds of millions of travelers. Do you enjoy building features end-to-end? Do you thrive working with a broad technology stack, releasing frequently, and collaborating with talented engineers worldwide? If so, we'd love to talk. What You'll Do Data Engineering & Data Products, ETLs Design, build, and maintain robust ETL/ELT data pipelines that process terabyte-scale data across Snowflake, BigQuery, Hive, and other platforms. Develop scalable, reusable data models and curated data sets for analytics, data science, CRM, machine learning, and other data consumers across the organization. Own the full lifecycle of data pipelines: define SLAs, implement performance measurements, monitoring, and anomaly detection. Ensure enterprise data integrity, validation, documentation, and governance. Platform & Software Engineering Write production Java and Python code across our evolving platform stack - from data ingestion and event processing to REST services and internal tooling. Build and maintain streaming and batch processing systems (Flink, Spark, Kafka) that power real time and analytical workloads. Take responsibility for all aspects of software engineering: design, implementation, QA, and maintenance, with a CI/CD mindset (most engineers release to production every few days). Operate on and improve cloud infrastructure on AWS, with familiarity with Gradle, Linux, and related tooling. Quality, Collaboration & Ownership Take on projects with independence and a mandate to leave things better than you found them. Be integral to code quality on your team through leadership in design and code review. Collaborate closely with Product, Design, Analytics, and Data Science teams to define specifications and deliver high quality solutions. Communicate effectively with both technical and business stakeholders; translate complex data problems into clear solutions. Work alongside engineering groups located around the world in a fast paced, dynamic environment. Skills & Experience 4-5+ years of data engineering or general software development experience in a commercial setting. Strong hands on proficiency in both Java and Python for production systems. Demonstrated experience designing and implementing complex ETL/ELT processes from concept to production. Proficiency in SQL and data exploration across large, complex datasets. Experience with big data technologies (Hadoop, Hive, BigQuery, Snowflake) and working with terabyte-scale or larger datasets. Solid foundation in data structures, algorithms, and object oriented design. Professional experience building REST services and working with event queue systems. Familiarity with Linux and cloud infrastructure design on AWS or equivalent cloud providers. Systems performance and tuning experience, with an understanding of how architecture impacts scalability. Bachelor's degree in Computer Science, Engineering, or equivalent practical experience. Strong analytical skills; desire to write clean, correct, and efficient code. Self paced, organized, and detail oriented with a strong sense of ownership, urgency, and pride in your work. Ability to break down complex problems into simple, pragmatic solutions. Strong interpersonal skills, intense curiosity, and enthusiasm for solving difficult problems. Willingness and ability to take on new technologies as our stack evolves. Nice to Have Experience with stream processing frameworks such as Flink or Spark Streaming. Experience with task orchestration tools such as Apache Airflow or similar systems. Familiarity with additional technologies: GraphQL, React, HTML5, JavaScript, CSS, Postgres, Gradle, BERT. Experience working with and designing infrastructures for large scale data processing (Hive, Snowflake, NoSQL databases). Experience with data governance practices and tooling. Exposure to and/or interest in machine learning, data science, or GenAI to help solve engineering challenges innovatively. Experience developing scalable code for high volume, low latency systems. What We Offer Competitive compensation packages , including base salary, annual bonus, and more. "Work your way" with flexibility to suit your lifestyle. We take a remote-friendly approach to collaboration, with the option to join on site as often as you'd like in select locations. Flexible schedule . Work life balance is ingrained in our culture by design. Trust and accountability make it work. Donation matching . Give back? Give more! We match qualifying charitable donations annually. Tuition assistance . Want to level up your career? We love to hear it! Receive annual support for qualified programs. Lifestyle benefit . An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you. Travel perks . We believe that travel is employee development, so we provide discounts and more. Employee assistance program . We're here for you with resources and programs to help you through life's challenges. Health benefits . We offer great coverage and competitive premiums. Generous referral scheme . Help us grow and be rewarded with generous awards for referring successful candidates. Our Cultural Pillars Traveller first: We exist to create value for our customer, the traveler. We enable our suppliers and partners to unlock this value. Their collective behaviors and insights are what drives us. Execution is our edge: We act fast, experiment, learn from failure, iterate, and improve the solutions of tomorrow across every aspect of our business. Our execution is agile, data driven, prioritised, and built to scale. We assume no problem is someone else's problem and finish what can be done today, knowing tomorrow will bring fresh challenges. We succeed together: The best outcomes are driven by empathic, humble, and diverse subject matter experts working toward shared goals. We collaborate relentlessly, challenge assumptions, give actionable feedback, and set each other up for success through empowered teams with a clear charter. We transparently take ownership of our growth, individually and as a team. We celebrate the quality of our effort, our learnings, and our collective achievements. Discover more in our Tech Blog , for an inside look into some of our exciting and ground breaking technical projects here at Tripadvisor Group. Tripadvisor Group champions the unique identities, abilities, and experiences of all our people - employees, customers, and partners. This stems from our belief in the transformative power of travel, dining, and experiences to connect us and open doors to worlds very different from our own. Our ED&I strategy shapes how we approach our people, culture, business, and reputation. Tripadvisor Group strives to embed inclusion and belonging across all our brands. We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or the recruiting process, please make sure to reach out to your individual recruiter or our team at . If you have any additional questions about careers at Tripadvisor you can email us at . We have all the answers!

What you'll be doing Monitor and support business-critical data pipelines and ensure data is refreshed accurately and on time. Investigate, respond to and resolve production incidents, minimising impact and restoring service quickly. Conduct root cause analysis (RCA) and work with engineers to implement permanent fixes. Build a deep understanding of our data infrastructure, tooling and operational processes. Identify opportunities to improve reliability, performance and efficiency across our data platforms. Develop monitoring, alerting and data quality controls to proactively detect issues before they impact users. Work within an Agile environment, contributing to development and CI/CD release processes. Create and maintain technical documentation, knowledge articles and operational runbooks. Act as a technical point of contact for data pipeline and cloud platform topics. Support and mentor junior team members, sharing expertise and best practices. What we're looking for You'll bring a blend of technical expertise and a passion for continuous improvement. Essential Experience Experience supporting and maintaining enterprise data solutions, including ETL processes and data refresh activities. Strong experience with Python. Experience working with big data and data integration technologies such as Spark and Kafka. Hands-on experience with AWS, including services such as Athena, Glue, EMR, Step Functions and CloudWatch. Experience working with Snowflake and dbt. Knowledge of CI/CD practices and deployment pipelines. Experience managing and resolving IT incidents within a structured incident management framework. Strong analytical and problem-solving skills with a focus on data solutions. Understanding of event-driven or streaming architectures. Nice to have Experience with additional ETL technologies. Previous ownership of data platform monitoring and operational improvements. Exposure to Grafana. Knowledge of Scala. Why join NewDay At NewDay, we're transforming how people experience credit through technology, data and innovation. You'll work with modern cloud technologies, tackle meaningful engineering challenges, and help deliver reliable data services that support millions of customer interactions. You'll join a collaborative team where your ideas are valued, your expertise is trusted, and you'll have the opportunity to make a visible impact from day one. If you're passionate about data operations, cloud platforms and building resilient, scalable data solutions, we'd love to hear from you. We value all types of diversity. At NewDay, we value all types of diversity. We're an equal opportunity employer and believe that our differences create a vibrant, authentic working culture. We want all our colleagues to feel able to bring their whole selves to work. We don't discriminate on the basis of protected characteristics or identities. We make sure that every job is crafted to be inclusive and that people with disabilities or caring responsibilities can take part in the application and interview process. Tell us if you need accommodations: We'll put reasonable adjustments in place to support you. We work with Textio to make our job design and hiring inclusive. Contract type Permanent Through innovative consumer credit and embedded finance products powered by groundbreaking technology, we deliver over 300 million transactions every year. Our brands include Aqua, Marbles, Fluid, Bip and NewPay. We partner with leading brands such as AO, Argos, Boohoo, John Lewis and Lloyds Bank. Over 5 million UK customers are supported by our award-winning customer service.

Backend Software EngineerApplylocations: Londontime type: Full timeposted on: Posted Todaytime left to apply: End Date: August 21, 2026 (28 days left to apply)job requisition id: 161122 End Date Thursday 20 August 2026 Salary Range £76,760 - £115,140 We support flexible working - click here for more information on flexible working options Flexible Working Options Hybrid Working Job Description Summary . Job Description JOB TITLE: Backend Software Engineer SALARY: £76,760 - £95,950 LOCATION: Hybrid (London) HOURS: Full Time (35 Hours) WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at one of our office sites. Colleagues with disabilities can be supported with workplace adjustments including hybrid working expectations in line with our Flexibility Works policy. What you'll be doing As a Backend Software Engineer, you'll build elegant, performant, maintainable, operable and secure Golang microservices that power innovative financial products and services. You'll collaborate closely with product, engineering and business stakeholders to deliver customer-focused solutions, contribute to system design and architecture, champion engineering best practice, and help continuously improve development processes. You'll play a key role in building a connected platform, developing data-driven financial insights, enabling integrations with leading applications and services, and supporting the delivery of scalable, resilient systems that help customers better manage their money. Why Join us? If you think all banks are the same, you're wrong. We're a pioneering, fast-changing business that's shaping finance as a force for good. If you're after a role where you can have an impact and do the best work of your career, you've just found it What we're looking for? Strong commercial experience developing backend applications in Golang Experience building and supporting microservices architectures Experience deploying and operating applications in containerised environments, ideally Kubernetes Knowledge of relational and NoSQL databases Experience working within agile development environments Ability to diagnose and resolve issues across the application stack, including network, server and database layers Experience building concurrent, distributed applications at scale Experience working with DevOps or SRE teams to support production environments Strong communication and collaboration skills A passion for learning, continuous improvement and delivering high-quality software And it would be great if you had any of the following Experience with PHP Experience with Kafka, RabbitMQ or other messaging technologies Experience with event-driven architectures Experience of real-time, low-latency transaction-based systems Knowledge of AWS, Docker and CI/CD practices Experience with PostgreSQL, MongoDB or BigQuery Exposure to data platforms, ETL processes or machine learning-enabled products Experience mentoring, coaching or supporting the development of other engineers Previous experience within fintech, payments or a fast-paced startup environment This is a place for you Our ambition is to be the leading UK business for diversity, equity and inclusion, supporting our customers, colleagues and communities. We are committed to creating an environment in which everyone can thrive, learn and develop.We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and launch a dedicated Working with Cancer initiative. We offer reasonable workplace adjustments for colleagues with disabilities, including flexibility in office attendance, location and working patterns. As a Disability Confident Leader, we guarantee interviews for a fair and proportionate number of applicants who meet the minimum criteria for the role and have a disability, long-term health or neurodivergent condition, through the Disability Confident Scheme.We provide reasonable adjustments throughout the recruitment process to reduce or remove barriers - just let us know what you need. We also offer a wide-ranging benefits package, which includes A generous pension contribution of up to 15% An annual bonus award, subject to Group performance Share schemes including free shares Benefits you can adapt to your lifestyle, such as discounted shopping 30 days' holiday, with bank holidays on top A range of wellbeing initiatives and generous parental leave policies Ready for a career where you'll learn and thrive? Apply today and find out more At Lloyds Banking Group, we're driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities. With us you'll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow and develop. We keep your data safe. So, we'll only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview or accepted a verbal offer to join us which is when we run our background checks. We'll always explain what we need and why, with any request coming from a trusted Lloyds Banking Group person. We're focused on creating a values-led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we're building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference.

Product Security Engineer - Software Security Enablement Location London Business Area Legal, Compliance, and Risk Ref # Description & Requirements Our Team: Bloomberg is building the world's most trusted information network for financial professionals. We protect Bloomberg. We partner with internal departments to ensure the confidentiality, integrity, and availability of Bloomberg systems and the data we process. We aim to ensure that our clients see us as a trusted partner. Our Chief Information Security Office (CISO) owns the technical aspects of this mission by ensuring Bloomberg products, systems, networks and commercial applications are built and maintained with security in mind. What's the role? We are seeking a Product Security Engineer to help ensure that Bloomberg software is built securely. You will be responsible for building and maintaining automated security capabilities across the software development lifecycle. You will also engage with engineering partners to provide remediation guidance and enhance security testing to deliver high-fidelity, actionable results. As a member of the Product Security Enablement team, you will help provide automated security testing solutions for Bloomberg, including SAST, DAST, SCA, Secret searching and LLM-based assessments. Our team's goal is to create preventative security capabilities that integrate into development pipelines and help detect issues early in the software development lifecycle. An engineering skillset is required for this role. You will be responsible for prototyping new tools, integrating security testing tools and capabilities into the software development lifecycle, and developing custom security capabilities to deliver scalable testing solutions to our engineering teams. This role will routinely challenge your technical background and critical thinking. You will be expected to collaborate with different stakeholders in a fast-paced environment across many technology stacks and services. We'll trust you to: Partner with engineering stakeholders to understand Bloomberg's development landscape and security needs. Develop automated security solutions that integrate into development pipelines. Maintain and enhance existing security automation processes and security capabilities. Understand and research technical details of core technology stacks and develop or enhance custom code analysis queries. Communicate vulnerability landscape and work on mitigations with stakeholders across the business. Actively monitor the latest news and trends in automated security capabilities, secure development, and AI-assisted security workflows. Develop and enhance operational runbooks. Perform ad-hoc vulnerability discovery, including code review and static analysis for key engineering teams, applications and services. Build or adopt new security capabilities to address issues at scale, such as Software Composition Analysis, Secret searching, and other automated security testing techniques. Use LLMs and AI-assisted workflows as part of security assessments, vulnerability research, secure code review, developer enablement, and security automation. Explore, evaluate, and build automation using modern LLM tooling and integration patterns, including custom skills, MCP servers, agentic workflows, retrieval-augmented workflows, and integrations with development and security tooling. You'll need to have: A strong core engineering background with a proven track record. 3+ years of experience in software development. Strong programming experience, with working knowledge of at least one of: C/C++, Python, JavaScript/TypeScript. Knowledge and experience with DevOps and software used in development pipelines (e.g. Github, Jenkins). Working knowledge of build systems, package managers, and development tooling (such as cmake, npm, maven, gradle etc). A core understanding of common security vulnerabilities, such as OWASP Top 10 issues and language-specific vulnerabilities. Experience using, evaluating, or building with LLMs or AI-assisted tooling in technical workflows. Ability to combine technical knowledge with an understanding of core aspects of an information security program. Motivation to keep up with latest trends and techniques in the information security community. Excellent written and verbal communication skills. We'd love to see (not required, but nice to have!): Experience or familiarity with running, maintaining, and customizing static analysis security testing tools such as CodeQL and Semgrep. Broad familiarity with programming language ecosystems and frameworks, particularly C++, JavaScript/TypeScript, Python, Java as well as well as modern systems and infrastructure languages such as Go and Rust Experience using LLMs or AI-assisted tools for security assessments, vulnerability research, secure code review, developer enablement, or security automation. Familiarity with LLM automation concepts and tooling, such as custom skills, MCP servers, agentic workflows, retrieval-augmented workflows, or integrations with development and security tooling. Knowledge of open source software component management, Software Composition Analysis, and related security tools. Knowledge of core concepts in public cloud providers such as AWS, GCP, and Azure. Familiarity with container orchestration technologies such as Kubernetes and Docker, and cloud deployment orchestration. Technical information security certifications, such as CISSP, CSSLP, or SANS certifications. Prior experience integrating security testing into DevOps pipelines. If indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role. Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success. Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law. Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email

Be an integral part of a team that's constantly pushing the envelope to enhance, build, and deliver cutting-edge technology products. Join JPMorgan's Liquidity and Account Solutions Technology team and be part of a dynamic group dedicated to delivering innovative technology products. We are seeking motivated Java engineers to enhance our global technology organization, focusing on modern solutions for the Corporate & Investment Bank's Payments business. Our systems manage client liquidity in real-time, supporting cash demands and building a next-generation core wholesale banking platform designed for global scale and rapid response. As a Software Engineer III at JPMorgan Chase within the Liquidity and Account Solutions Technology team, you will be responsible for building and supporting services for our market-leading liquidity business. You will contribute features, enhancements and bug fixes - ensuring our codebase remains modern, well-structured and robust. You will collaborate with colleagues to perform technical analysis of client requirements, participate in estimation, planning, code reviews, architecture design sessions and retrospectives. This role offers the opportunity to learn about liquidity from colleagues, stakeholders and extensive training resources. You will have the chance to grow your skills through our curated technical development programs and dedicated training days. This exciting role provides you with the opportunity to see the direct impact of your contributions on the liquidity business and receive client feedback from around the globe. While banking experience is not required, you must be a passionate and well-rounded technologist, eager to continuously learn and enhance your skills. Job responsibilities Design and develop high-performance, latency-sensitive code, incorporate security requirements and reviewing code written by team members using software engineering best practices Write secure, high-quality code and automated tests Produce architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by code Identify opportunities to eliminate recurring issues to improve overall operational stability of software applications and systems Participate in communities of practice across the group to drive awareness, consistency and adoption of modern technologies Add to team culture of diversity, equity, inclusion, and respect Collaborate effectively as part of a global team Provide technical leadership to small engineering sub-teams focused on the delivery of a small epic by transforming requirements into stories and a build plan Support junior colleagues in their technical growth Provide out of hours application support and coordinate of Production releases Required qualifications, capabilities, and skills Formal training or certification on Java concepts and proficient applied experience. Excellent understanding of Java fundamentals and frameworks (Spring Boot), OO programming paradigms, multi-threading, messaging technologies and computer networks Experience in building high-performance, latency-sensitive Java applications Experience in maintaining and troubleshooting software running in a Linux environment, familiarity with the Linux operating system, system utilities, containers and cloud architectures and services Experience with modern testing tools (JUnit, Mockito, Spring Test Framework) Strong interpersonal and communication skills, with experience working with globally distributed engineers and stakeholders Understanding of the full software development lifecycle and agile approach Hands-on experience with event driven architecture and distributed messaging technologies (Kafka) Preferred qualifications, capabilities, and skills Hands on experience another statically compiled language like Golang, Rust or C++ Experience with gRPC and Google Protocol Buffers Experience with caching technologies, e.g. Redis Experience with infrastructure as code software, e.g. Terraform Experience using and designing schemas/data structures in resilient SQL and NoSQL databases (e.g. CockroachDB) Familiarity with front-end technologies, like ReactJs Certified Kubernetes and public cloud knowledge (e.g. CKAD and AWS certifications) J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. Design and deliver market leading products in a secure and scalable way as a seasoned member of an agile team

At JP Morgan Chase, we understand that customers seek exceptional value and a seamless experience from a trusted financial institution. That's why we launched Chase UK to transform digital banking with intuitive and enjoyable customer journeys. With a strong foundation of trust established by millions of customers in the US, we have been rapidly expanding our presence in the UK and soon across Europe. We have been building the bank of the future from the ground up, offering you the chance to join us and make a significant impact. As a Lead Data Engineer at JPMorgan Chase within the International Consumer Bank, you will play a crucial role in this initiative, dedicated to delivering an outstanding banking experience to our customers. You will work in a collaborative environment as part of a diverse, inclusive, and geographically distributed team. We are seeking individuals with a curious mindset and a keen interest in new technology. Our engineers are naturally solution-oriented and possess an interest in the financial sector and focus on addressing our customer needs. We work in teams focused on specific banking functions and products, providing opportunities to build data pipelines and reporting capabilities for functional areas such as finance and business management, treasury operations, financial crime prevention, regulatory reporting and analytics. We collaborate with product teams such as card payments, electronic payments, lending, customer onboarding, core banking, and insurance to understand their product datamodels and deliver tailored data solutions that meet business needs. Job responsibilities • Deliver end-to-end data pipeline solutions on cloud infrastructure leveraging the latest technologies and the best industry practices • Use domain modelling techniques to allow us to build best in class business products. • Structure software so that it is easy to understand, test and evolve. • Build solutions that avoid single points of failure, using scalable architectural patterns. • Develop secure code so that our customers and ourselves are protected from malicious actors. • Promptly investigate and fix issues and ensure they do not resurface in the future. • Make sure our releases happen with zero downtime for our end-users. • See that our data is written and read in a way that's optimized for our needs. • Keep an eye on performance, making sure we use the right approach to identify and solve problems. • Ensure our systems are reliable and easy to operate. • Keep us up to date by continuously updating our technologies and patterns. • Support the products you've built through their entire lifecycle, including in production and during incident management Required qualifications, capabilities & skills • Formal training or certification on data engineering concepts and applied experience • Recent hands-on professional experience as a data engineer • Experience in coding in a recent version of the Python programming language • Experience in designing and implementing effective tests (unit, component, integration, end-to-end, performance, etc.) • Excellent written and verbal communication skills in English • Experience with cloud technologies and distributed systems • Experience with data transformation frameworks and data pipeline orchestration tools • Experience with managing large volumes of data and optimizing data processing • Understanding of event-base architecture, data streaming and messaging frameworks • Coach other team members on coding practices, design principles, and implementation patterns that lead to high-quality maintainable solutions. • Manage stakeholders and effectively prioritize work across multiple work streams. Preferred qualifications, capabilities & skills • Experience in working in a highly regulated environment / industry • Experience with AWS cloud technologies • Experience with data governance frameworks • Understanding of incremental data processing and versioning • Understanding of RESTful APIs and web technologies 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. 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. At JP Morgan Chase, we understand that customers seek exceptional value and a seamless experience from a trusted financial institution.

JOB DESCRIPTION Help shape the next wave of Applied AI innovation in Markets Operations by turning ideas into production-ready solutions. You will build practical AI capabilities that improve workflows, strengthen controls, and unlock productivity for teams across the organization. Working alongside engineers, AI specialists, and operations partners, you will bridge cutting edge techniques with enterprise grade systems. At JPMorganChase, you can grow your career through meaningful work, strong mentorship, and hands on ownership. Join a team that values creativity, collaboration, and continuous learning. As an Applied AI Engineer in the applied AI team within Markets Operations, you will design, build, test, and deploy scalable AI services integrated with strategic systems and operational processes. You will collaborate with software engineers, AI and data science specialists, operations stakeholders, and business partners to improve operational workflows, controls, and the software development lifecycle. You will focus on hands on engineering across Python services, APIs, data pipelines, infrastructure, monitoring, and production readiness. You will build domain knowledge across Markets Operations and translate real workflow pain points into durable solutions. You will contribute to a culture of innovation, collaboration, and engineering excellence. Job Responsibilities Contribute to technology and architecture patterns that enable AI solutions across Markets Operations and software engineering use cases Build and enhance robust, scalable, reusable AI services and supporting infrastructure using modern technologies Collaborate with AI and data science specialists to design, develop, test, and deploy services integrated with strategic systems and operational processes Learn Markets Operations processes and apply that knowledge to develop practical solutions and integrations with banking operations systems Evaluate new AI infrastructure technologies and share findings to inform team technical decisions Document designs, implementation details, and tradeoffs to support maintainability and knowledge sharing Support scalability, reliability, and security of AI and machine learning solutions in production, with a focus on operational readiness and sustainability Partner with operations stakeholders to understand workflow pain points and translate them into practical technology solutions Required Qualifications, Capabilities, and Skills Hold a Bachelor's or Master's degree in Computer Science, Software Engineering, a related field, or equivalent practical experience Demonstrate strong Python programming skills Design, develop, and integrate RESTful APIs, such as with FastAPI Build and support ETL and data pipeline engineering workflows Apply Infrastructure as Code practices, such as Terraform, and work within CI/CD pipelines Design and integrate databases and data models Apply monitoring practices and understand controls and compliance concepts in production environments Communicate effectively in writing and verbally, explaining technical concepts to technical and non technical audiences Collaborate effectively on multi disciplinary teams and incorporate feedback into your work Preferred Qualifications, Capabilities, and Skills Apply AI and machine learning concepts with a strong interest in applied AI productization Bring experience from academic work, projects, internships, or roles applying AI in finance, operations, markets, or enterprise technology Demonstrate familiarity with Markets Operations processes such as trade lifecycle, post trade operations, reconciliations, controls, or exception management Use AWS and tools such as MLflow Develop front end capabilities with React or modern front end development Apply graph database modeling concepts Why Join Us? Your contributions will help redefine what's possible in financial services. You'll be part of a team that values creativity, collaboration, and continuous learning, empowering you to make a real impact and grow your career. 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 ourFAQsfor more information about requesting an accommodation. ABOUT THE TEAM J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

We are looking for a Senior AI Engineer to join our growing Applied AI team. This is ahands-on, technically demanding role for someone who can contribute to building production AI systems while helping raise the technical bar of the team around them. You will work collaboratively across a fast-moving technology company, turningcutting-edgeresearch into practical, scalable solutions.This role reportsto the AppliedAILead. Responsibilities Lead data identification, cleaning, enrichment, preprocessing,feature engineering,andexploratoryanalysis to ensure fitness for AI workflows and to inform modelling and business decisions. Build, tune, andoptimisemachine learning, deep learning, and generative AI models,leveragingboth established andcutting-edgetechniques. Designand buildLLM-powered systems- RAG pipelines, prompt and context engineering, fine-tuning, structured outputs, function calling, context-window management,and secure model integration;selectingappropriately between standard and reasoning (test-time-compute) models, balancing capability against latency and cost. Designand buildagentic AI systems- tool-calling architectures, interoperability protocols (MCP, agent-to-agent), multi-agent orchestration, and multi-step reasoning with human-in-the-loop andappropriate trust, safety, and security boundaries. Leverageand contributeto agentic engineering tooling, including coding assistants,configurable permissions models,internal skills and plugins architectures, and sandboxed autonomous workflows integrated intoCI/CDand delivery pipelines. Applymodel adaptation techniques including parameter-efficient fine-tuning(LoRA,QLoRA), modeldistillation, and synthetic data generation for domain-specific and low-resource scenarios. Develop evaluation frameworks covering performance, hallucination, safety, cost, and non-deterministicbehaviouracross classical and generative AI systems. Optimisemodel inference and end-to-end pipelines for speed, cost, memory footprint, and scalability, including for CPU-constrained andairgappeddeployment targets. Develop andmaintainproduction-grade model pipelines and supporting software with strongMLOpspractices - covering real-time inference, batch processing, performance monitoring, drift detection, scheduled retraining, observability, governance, version control, and reproducibility. Providetechnicalguidance- architectural input, peer review, and mentoring of mid-level and junior engineers through code review, pairing, and knowledge sharing - raising the technical bar of the team and shaping secure, scalable, high-performing AI solutions. Work within Agile delivery teams - collaborating with data, platform, and software engineers to integrate AI into products, communicating clearly with technical and non-technical stakeholders, and championing engineering excellence and continuous improvement. Stay current with the latest research, frameworks, and trends across ML, deep learning, and GenAI, translating them into production-ready solutions. Required Knowledge, experience and values 5+ years of commercialexperience in AI and machine learning engineering and development - academic research experience is highly valued alongside this, buta track recordof commercial delivery is essential -withdemonstrabledelivery of production-grade models and systems across traditional ML, neural networks, and LLM-based systems. 5+years of commercial experience working withPython;familiaritywith C# is considered a bonus due to existing product integrations. Hold an advanced degree in machine learning, computer science, engineering, or a related discipline, with an MScrequiredand a PhD highly desirable. Deep hands-on experience withPyTorch, Scikit-learn, and the Hugging Face ecosystem, with familiarity withMLFlowandAzureML; capable of making architecture and implementation decisions. Strong competence with Git, pull requests, automated testing, CI/CD,MLOps, and ML pipelines; experience with Azure DevOps and cloud-based ML infrastructure (Azure, AWS, or GCP) is beneficial. Strong grounding inclassical data science fundamentals - feature engineering, statistical analysis, experimental design, and model monitoring - alongside benchmarkingand the evaluation of non-deterministic AI systems. Practical experience with inferenceoptimisationincludingquantisation, latency reduction, cost-aware model selection, and resource-efficient deployment. Communicate clearly, translating complex technical work into actionable recommendations, and produce high-quality documentation including technical decision records. Operate independently and make sound technical decisions within complex, ambiguous contexts, witha track recordof owning problems end-to-end. Prior cybersecurity or business domainexpertiseis not a prerequisite, although would be highly relevant. We encourage you to apply even if your experience is not a 100% match with the position. Beneficial Knowledge, experience, and values Familiarity with containerisation (Docker, Kubernetes), event-driven or microservices architectures, and distributed data processing at scale. Experience with embedding pipelines, vector search, and semantic retrieval for RAG systems. Knowledge of LLM evaluation techniques including structured evals frameworks, hallucination mitigation, benchmarking, and human-in-the-loop evaluation. Understanding of AI safety, responsible AI principles, governance, and regulatoryand standardsawareness (e.g. EU AI Act, NIST AI RMF, ISO/IEC 42001), including bias detection, explainability, and auditability. Familiarity with security best practices in AI systems, particularly around prompt injection risks, data handling, and model misuse. Understanding of AI applied in cybersecurity contexts, including concept drift, adversarial robustness, andmodel assurance challenges. Exposure to data engineering practices including ETL/ELT pipelines, data versioning, and schema management. Awareness of multi-modal data handling include vision, audio, or document-based inputs. Contributions to open-source projects, research publications, or participation in AI/ML communities and conferences. Demonstrated curiosity and ability to balance research-oriented thinking with pragmatic engineering delivery in a commercial environment. About Us We didn't start out as a traditional security product. In the beginning, Glasswall was one of only two file sanitization filters in the US Intelligence Community's highly classified networks. We are rated by the National Security Agency. We designed Glasswall CDR to protect businesses against the most advanced file-based threats. Today, we're trusted by commercial and government organisations around the world. In June 2025 Glasswall officially entered a new era of growth and innovation having been acquired by the leading private equity firm, PSG Equity. This marks a significant milestone for our company and one that underscores the strength of our business, the dedication of our team, and the exciting potential that lies ahead. With PSG's strong track record of scaling high-growth cybersecurity and technology businesses, we are better positioned than ever to accelerate innovation, expand into new markets, and deliver even greater value to our clients, employees, and stakeholders. Cybersecurity is a mission-critical field, and we've always believed that staying ahead means moving faster, continually adapting to meet new challenges and investing more boldly in the future. This partnership empowers us to do exactly that while maintaining the same leadership, values, and commitment to excellence that have brought us this far We're excited for what's to come so now is a great time for you to join us on our journey. Inclusion At Glasswall we believe that diversity of people and thought are central to our purpose. We are committed to making Glasswall a company that is attractive to people of many different backgrounds. This includes diversity in every sense of the word: those with different backgrounds, ages, ethnicities, gender identities, sexual orientations, ways of thinking and those with disabilities or neurodivergent conditions. We therefore welcome and encourage applications from everyone, including those from groups that are under-represented in our workforce. One of our corporate objectives is to ensure that the organisational health of the firm is highly rated by our employees. We believe that this is only possible if we promote a culture of inclusion and respect across our business. Every six months we survey employees on a range of questions relating to our organisational health. This holds a mirror-up to a business and ensures that we can focus on where we need to do better. We have an Organisational Health Committee, which is chaired by a non-executive position. The panel has been formed to guide the leadership in taking positive action that supports a good work-life balance, family friendly relations and to be inviting to a diverse range of potential employees. We also have a Women in Technology Group which has been formed to promote balance in the way that we communicate with, promote, encourage, and support people across our business. Work/Life Balance Our team puts a high value on work-life balance. It isn't about how many hours you spend at home or at work; it's about the flow you establish that brings energy to both parts of your life . click apply for full job details

Join us and take your career to new heights as a Lead Java Software Engineer. You'll have the opportunity to influence major technology decisions and mentor talented engineers. We value your expertise and encourage you to push boundaries, solve complex challenges, and grow professionally. Our team thrives on collaboration, creativity, and continuous learning. Experience a supportive environment where your contributions matter. Job Summary: As a Lead Java Software Engineer in our Glasgow Technology Hub, you will guide the development of high-quality software solutions that power our business. You'll work closely with cross-functional teams to deliver scalable applications and drive best practices. Your leadership will help foster a culture of innovation and technical excellence. You will play a key role in shaping our technology roadmap and mentoring engineers as well as leveraging AI and machine learning to drive innovation and deliver smarter solutions. Together, we'll build solutions that make a difference. Job Responsibilities: Lead the design, development, and deployment of Java-based applications Collaborate with stakeholders to define technical requirements and project goals Mentor and support engineers, fostering growth and knowledge sharing Drive code quality, performance, and security standards across projects Implement best practices in software engineering and agile methodologies Troubleshoot and resolve complex technical issues Review code and provide constructive feedback to team members Coordinate with other teams to ensure seamless integration of systems Champion innovation and continuous improvement within the team Manage project timelines and deliverables to meet business objectives Communicate progress and challenges effectively to leadership Job Qualifications, Capabilities, and Skills: Demonstrate proficiency in Java and object-oriented programming Apply strong problem-solving and analytical skills Utilize experience with software architecture and design patterns Work effectively in agile development environments Communicate clearly and collaborate with diverse teams Lead and motivate others in a fast-paced setting Ensure code quality through testing and review processes Manage multiple priorities and adapt to changing requirements Uphold security and compliance standards in software development Use version control tools such as Git Apply knowledge of RESTful APIs and microservices Preferred Qualifications, Capabilities, and Skills: Bring experience with cloud platforms and containerization Apply familiarity with DevOps practices and CI/CD pipelines Utilize knowledge of front-end technologies and frameworks Demonstrate expertise in performance tuning and optimization Leverage experience with database technologies (SQL and NoSQL) Use understanding of distributed systems and scalability Apply experience in mentoring and developing engineering talent 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 Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You'll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda. Drive innovation and lead impactful projects as you shape the future of technology with our collaborative engineering team.

Build what's next in applied AI at JPMorganChase - where your work shapes how teams use intelligent systems at scale. You'll lead hands-on engineering for agentic and GenAI capabilities that power the LLM Suite platform. This role offers a mix of deep technical problem-solving, architecture ownership, and collaboration with talented builders. If you enjoy turning ambiguity into reliable production systems, you'll thrive here. Join a team that values craft, security, and learning. As an Applied AI ML Lead in LLM Suite Engineering, you will design and deliver production-grade AI/ML and agentic solutions that integrate seamlessly with existing systems. You will own technical direction across architecture, implementation, and operational stability, with a strong focus on secure, high-quality software. You will partner with peers across engineering to identify patterns and improve standards, reliability, and scalability. You will help evolve the platform using modern public cloud services and agentic frameworks. You will contribute to a collaborative culture through communities of practice and emerging-technology events. You will explore and operationalize emerging patterns such as agent-to-agent communication, model context protocols, and agentic orchestration, turning early-stage concepts into scalable, production-ready capabilities. Job Responsibilities Design, develop, and troubleshoot software solutions using creative approaches to solve complex technical challenges Write secure, high-quality production code and maintain algorithms that integrate with existing systems Create architecture and design artifacts for complex applications, ensuring design constraints are met through delivery Build AI/ML solutions and agentic systems for the LLM Suite platform using public cloud architecture (Azure, AWS) and modern agentic frameworks Implement GenAI services leveraging Azure OpenAI models and AWS Bedrock Identify hidden problems and patterns in data proactively to improve coding standards and system architecture Participate in software engineering communities of practice and events focused on emerging technologies Required Qualifications, Capabilities, and Skills Computer science degree or equivalent practical experience Hands-on experience with system design, application development, testing, and operational stability Proficiency in Python (FastAPI) Experience building microservices and APIs Experience with elastic compute, NoSQL databases, and messaging queues Strong understanding of the Software Development Life Cycle Solid grasp of CI/CD, application resiliency, and security Preferred Qualifications, Capabilities, and Skills Experience implementing GenAI services leveraging Azure OpenAI models and AWS Bedrock Proficiency working with large language models and building agents with LangGraph Experience developing, debugging, and maintaining code in a large corporate environment using modern programming and database querying languages Experience with containerization Knowledge of agent-to-agent (A2A) communication concepts Familiarity with Model Context Protocol (MCP) Experience with agentic orchestrators, personal AI assistants, or AI skills development 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 Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You'll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda. Lead applied AI and engineering to build secure, scalable agentic solutions within our LLM suite.

At JP Morgan Chase, we understand that customers seek exceptional value and a seamless experience from a trusted financial institution. That's why we launched Chase UK to transform digital banking with intuitive and enjoyable customer journeys. With a strong foundation of trust established by millions of customers in the US, we have been rapidly expanding our presence in the UK and soon across Europe. We have been building the bank of the future from the ground up, offering you the chance to join us and make a significant impact. As a Lead Software Engineer at JPMorgan Chase within the International Consumer Bank, you will play a crucial role in this initiative, dedicated to delivering an outstanding banking experience to our customers. You will work in a collaborative environment as part of a diverse, inclusive, and geographically distributed team. We are seeking individuals with a curious mindset and a keen interest in new technology. Our engineers are naturally solution-oriented and possess an interest in the financial sector and focus on addressing our customer needs. We work in teams focused on specific products and projects, providing opportunities to engage in areas such as fraud & financial crime prevention, identity services, money transfers, card payments, lending, customer onboarding, core banking, insurance products, rewards campaigns, and servicing innovations. Job responsibilities Deliver end-to-end solutions in the form of cloud-native microservices architecture applications leveraging the latest technologies and the best industry practices Use domain modelling techniques to allow us to build best in class business products. Structure software so that it is easy to understand, test and evolve. Build solutions that avoid single points of failure, using scalable architectural patterns. Develop secure code so that our customers and ourselves are protected from malicious actors. Promptly investigate and fix issues and ensure they do not resurface in the future. Make sure our releases happen with zero downtime for our end-users. See that our data is written and read in a way that's optimized for our needs. Keep an eye on performance, making sure we use the right approach to identify and solve problems. Ensure our systems are reliable and easy to operate. Keep us up to date by continuously updating our technologies and patterns. Support the products you've built through their entire lifecycle, including in production and during incident management Required qualifications, capabilities & skills Formal training or certification on software engineering concepts and applied experience Recent hands-on professional experience as a back-end software engineer Experience in coding in a recent version of the Java programming language Experience in designing and implementing effective tests (unit, component, integration, end-to-end, performance, etc.) Excellent written and verbal communicationskills in English Experience with cloud technologies and distributed systems, RESTful APIs and web technologies. Knowledge of messaging frameworks. Seasoned with operating, supporting and the security of mission critical software applications. Understanding with different kinds of data stores (including relational data stores) Coach other team members on coding practices, design principles, and implementation patterns that lead to high-quality maintainable solutions. Manage stakeholders and effectively prioritize work across multiple work streams. Preferred qualifications, capabilities & skills Experience in working in a highly regulated environment / industry Seasoned with cloud-native microservices architecture Proficient with AWS cloud technologies

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters. The Position As a machine learning engineer in AI Enablement, you will be working closely with folks that span across Computational Scientists, Research Scientists, AI/ML experts, Product leaders, DevOps, and everyone in between. You'll build, own, and constantly improve scalable AI/ML based systems that unlock the potential of our diverse scientific data, accelerating the discovery and development of life changing treatments for patients. Design, develop, and test robust, scalable, and maintainable AI/ML facing scientific web applications and backend systems. Build tools to evaluate AI/ML model performance and establish new ways to understand AI quality. Partner with product managers and scientists to understand user needs, shape requirements, and translate them into actionable technical specifications. Develop and maintain systems for collecting, structuring, and storing diverse scientific data that support advanced analytics, machine learning, and other data driven initiatives. Implement, adopt, or evaluate new AI/ML algorithms and analytical techniques. Contribute to architectural decisions, code reviews, and the evolution of our development processes. Be willing to span the stack and contribute where needed, even outside of your core area of expertise. Stay up to date with emerging technologies and industry best practices and adopt a culture of continuous learning, collaboration, and curiosity. Who You Are: Master's or Ph.D. in Computer Science or similar technical field, or equivalent experience Established professional experience in machine learning engineering roles. Strong proficiency with AI/ML frameworks, libraries, and toolsets. Expert knowledge of statistics, machine learning theory, and algorithms. Strong knowledge of ML performance optimization, GPU best practices. Experience with Kubernetes, relational databases, NoSQL databases, or data lakes, and experience working on cloud native architectures in public clouds (ideally AWS). Proven understanding and application of engineering best practices. Excellent communication skills and ability to build trusted partnerships with internal and external collaborators. Ability to quickly acquire new technologies and programming languages and a passion for continuous learning. Preferred But Not Required: Experience with imaging or biological data and processes is a strong plus. Experience working with scientists or in a research environment is advantageous. Experience with workflow automation, GenAI, and/or agents is a plus. Additional Information This position requires onsite work 3 days per week No relocation support Equal Opportunity Employer The statements herein are intended to describe the general nature and level of work being performed by employees, and are not to be construed as an exhaustive list of responsibilities, duties, and skills required of personnel so classified. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of Roche Products Ltd. At Roche Products we believe diversity drives innovation and we are committed to building a diverse and flexible working environment. All qualified applicants will receive consideration for employment without regard to race, religion or belief, sex, gender reassignment, sexual orientation, marriage and civil partnership, pregnancy and maternity, disability or age. We recognize the importance of flexible working and will review all applicants' requests with care. At Roche difference is valued and we are proud to be an equal opportunity employer where you are encouraged to bring your whole self to work.

At Bionic, we're on a mission to make it radically easier to run a small business. As the UK's leading business comparison and switching service, we help thousands of small and medium size businesses save time and money on essentials like energy, broadband, insurance, and finance. We combine smart technology with real human support to match our customers with the best deals - quickly and effortlessly. With trusted partnerships including Compare the Market, Uswitch for Business, MoneySuperMarket and we're committed to help SMEs get the best deals for their business essentials every time. Role As a Senior Data Engineer you'll be responsible for designing, building, and scaling robust, high quality data platforms that underpin critical business reporting and operational decision making. You will drive the development of data pipelines, models, and architecture across our modern data stack (AWS, Snowflake, dbt) ensuring performance, reliability, and scalability. Working closely with Architecture, Data Analytics, and Salesforce teams, you will drive the evolution of our data platform, guide best practices, and play a key role in modernising legacy processes. You will act as a technical leader within the team, shaping design decisions, mentoring engineers, and ensuring delivery of resilient, well governed data products. This role requires strong technical expertise, strategic thinking, and the ability to translate complex business needs into scalable, production grade data solutions. Key Responsibilities Design, build and optimise scalable data pipelines and data products across AWS, Snowflake and dbt, setting engineering standards and best practices. Lead the development of robust, testable dbt models and frameworks to ensure high data quality, consistency, and maintainability. Own data pipeline reliability, proactively monitoring, troubleshooting, and resolving complex data and performance issues with minimal disruption. Architect and evolve analytics ready data models (e.g., star schemas, data marts), balancing performance, flexibility, and usability. Collaborate with senior stakeholders (Analytics, Salesforce, Architecture) to define requirements and translate them into scalable technical solutions. Drive continuous improvement of data engineering practices, including CI/CD, observability, testing frameworks, and documentation standards. Provide technical leadership through mentoring, code reviews, and guidance to junior team members, fostering engineering excellence. Ensure compliance with security, governance, and data privacy requirements, embedding best practices in all solutions. Contribute to strategic data platform decisions, including tooling, architecture, and long term roadmap planning. Essential Skills and Experience Required Proven experience designing, building and maintaining scalable data pipelines and cloud based data platforms in production environments. Advanced SQL expertise, including query optimisation, performance tuning and complex data transformations. Strong Python skills for data engineering, automation and system integrations. Hands on experience with Snowflake (or similar cloud data warehouse), including data modelling, optimisation and security/access controls. Strong experience with dbt, including modelling, testing and deployment best practices. Solid knowledge of AWS data services and cloud native architectures (e.g. S3, Lambda, IAM, CloudWatch). Experience with modern software engineering practices, including Git, CI/CD and automated testing. Strong understanding of data modelling and data warehousing principles. Ability to solve complex problems, identify root causes and deliver scalable, reliable solutions. Experience leading technical delivery, influencing architectural decisions and collaborating across multiple stakeholders. Comfortable working in ambiguity, translating complex business requirements into structured technical solutions. Strong communication skills, with the ability to engage both technical and non technical audiences. Nice to have Experience with real time or streaming data architectures. Exposure to Salesforce data models and API integrations. Experience using AWS CDK for infrastructure deployment. Familiarity with orchestration tools such as Airflow. Experience implementing data observability, monitoring and alerting solutions. Knowledge of BI platforms such as Tableau and how data products are consumed by end users. Exposure to MLOps practices, including supporting machine learning pipelines, model deployment and monitoring. Awareness of emerging trends, technologies and best practices within modern data engineering. Why Join Bionic At Bionic, better never stops. You'll join a team obsessed with improvement, innovation and impact - where your expertise will directly shape how thousands of British businesses grow and thrive. Benefits We know that our employees are what sets us aside from our competitors; our benefits are just part of the way we say thanks. Health & Wellbeing Private healthcare cover Employee Assistance Programme, including a virtual GP service, priority physio & talking therapies Eyecare scheme Time Off 25 days annual leave plus the 8 UK bank holidays, increasing with tenure 1 paid family/religious day of leave per year - following successful probation period 1 paid charity volunteering day per year Option to buy/sell up to an additional 3 days leave per year Family Matters Enhanced maternity, paternity or shared parental leave 2 days off for your wedding upon joining, and up to 5 days after 2 years service Flexible working options & a hybrid work approach Financial Wellbeing Auto enrolled salary sacrifice pension scheme Life assurance Season ticket loans, salary advances & loans to buy or rent a home - based on tenure Cycle to work scheme Recognition Highflyers incentive, a VIP experience for our high performers across Bionic group to celebrate success Company summer & Christmas party celebrations, business and local zone & annual awards and recognition Long service awards

Be an integral part of a team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products. As a Software Engineer III at JPMorgan Chase within the Global Banking Platform (GBP), you are an integral part of a team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. We are building the next generation core banking platform that will operate at a global scale and will support hundreds of millions of accounts. We use cloud native technologies, and the work involves the development of micro services, integrations, dashboards, production support tools and CI/CD pipelines. Initially, successful candidates for the role will be seconded to a FinTech software partner. This is an exciting opportunity to experience the day to day of a fintech while being fully backed by JPMC. After the conclusion of the secondment, all secondees will return to JPMC and apply the knowledge, technologies and practices acquired and develop the critical services to support GBP's worldwide journey to the cloud. Job Responsibilities Design, implement and develop scalable, performant microservices using software engineering best practices. Writes secure and high-quality code Writes automated unit tests, integration tests, etc. Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Proactively identifies hidden problems and patterns in code and data and uses these insights to drive improvements to coding hygiene and system architecture Manage and troubleshoot deployments from testing environments all the way to production. Interface with other engineering teams to ensure that features are added in a structured and coherent way. Translate generic product requirements into trackable tickets. Contributes to software engineering communities of practice and events that explore new and emerging technologies Adds to team culture of diversity, equity, inclusion, and respect Required qualifications, capabilities and skills Formal training or certification on software engineering concepts and applied experience Hands on practical experience in system design, application development, testing, and operational stability Proficient in at least one major programming language: Go, Python and/or Java Experience with Kubernetes and Terraform Experience in developing automated tests as an integral part of the development cycle. Overall knowledge of the Software Development Life Cycle Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Experience with any cloud provider. Preferred qualifications, capabilities and skills Knowledge of banking / finance. Certification in AWS, Kubernetes (CKE) and Terraform Familiar with databases (SQL or NoSQL). Experience with client/server software architectures & networking, or microservice architectures. Experience with observability tools like Grafana, Prometheus, Open Telemetry and others. Experience with streaming architectures and tools (e.g. Kafka)

Build production AI systems that interpret global markets Permutable is building the intelligence infrastructure institutions use to understand what is moving global markets - and why. Our technology transforms large volumes of multilingual news, economic developments, market narratives and geopolitical information into structured, explainable signals. These signals support institutional investors, banks, asset managers, energy desks and commodity trading teams across macroeconomic, commodities, currency and geopolitical research. Permutable currently analyses more than 250,000 sources across over 80 languages, processes more than one million narratives each day and covers more than 70 assets. In 2026, we were named Hedgeweek's Technology Provider of the Year: Innovation. We are now looking for an exceptional graduate engineer to help us build the next generation of our machine learning and market intelligence systems. The opportunity This is not a rotational graduate scheme or a role where you will spend your first year observing from the sidelines. You will join our engineering and data science team, work on real technical problems and contribute to systems used in live institutional workflows. You will be supported by experienced colleagues, but you will also be trusted with meaningful responsibility from an early stage. The work sits at the intersection of: Machine learning and natural language processing Large language models and agentic systems Multilingual information retrieval Time-series and point-in-time data Financial markets and economic research Scalable production engineering You might be improving how an emerging economic narrative is detected across multiple languages one week and evaluating whether a new model can identify changes in commodity-market pressure the next. Your work will not remain in a notebook. You will help take ideas from research and experimentation through to reliable production systems. What you will work on Depending on your strengths and interests, you will: Design, train and evaluate machine learning and NLP models operating on large-scale textual datasets. Develop systems for classification, information extraction, entity resolution, narrative clustering, sentiment analysis and semantic search. Experiment with transformers, embeddings, retrieval systems and large language models. Build robust evaluation frameworks to measure accuracy, consistency, latency and production performance. Carry out detailed error analysis and translate findings into practical model improvements. Work with engineers, data scientists, market analysts and product colleagues to solve commercially relevant problems. Communicate technical findings clearly to both technical and non-technical team members. Contribute ideas to our research direction, product architecture and engineering standards. What success could look like During your first few months, you could: Become familiar with Permutable's data, models and production architecture. Ship a contained improvement to an existing model, evaluation process or data pipeline. Reproduce and assess an existing experiment using historical point-in-time data. Present your findings and recommendations to the wider technical team. As your experience grows, you could: Take ownership of a model, service or technical workstream. Design and run original experiments. Deliver new capabilities into production. Help determine how our machine learning systems evolve. Work directly with market analysts and institutional use cases. Mentor future graduate engineers joining the team. What we are looking for You may be completing your degree or have graduated within the past two years. We are particularly interested in UK graduates from: Computer science Artificial intelligence or machine learning Mathematics or statistics Physics Electrical, mechanical or software engineering Data science Computational linguistics Another highly quantitative discipline You should have: Strong Python programming skills. Solid foundations in algorithms, data structures and software engineering. A good understanding of probability, statistics, linear algebra and machine learning. Experience using at least one machine learning framework. The ability to test ideas methodically rather than relying on intuition alone. Evidence that you can take a difficult technical problem, break it down and make progress independently. Clear written and verbal communication skills. Intellectual curiosity and a genuine interest in understanding how systems work. The confidence to ask questions, challenge assumptions and defend your reasoning. The motivation to work in a fast-moving startup where priorities can evolve quickly. We do not expect you to arrive knowing everything. We do expect you to learn quickly, care about technical quality and take ownership of your work. Evidence that would make you stand out Strong candidates may have completed one or more of the following: A technically ambitious dissertation or research project. An internship involving software engineering, machine learning or quantitative research. A substantial personal or university project that progressed beyond a standard tutorial. Open-source contributions or a well-documented GitHub repository. Research involving NLP, transformers, LLMs, time-series data or information retrieval. Competitive programming, mathematical competitions, hackathons or data-science competitions. An academic publication, preprint or research assistantship. Work involving large, noisy or multilingual datasets. A project where you had to make and justify difficult modelling or engineering trade-offs. We are more interested in the depth of your thinking and the decisions you made than in an unnecessarily polished portfolio. Useful, but not essential Experience with any of the following would be helpful: PyTorch, TensorFlow, JAX or scikit-learn Hugging Face and transformer-based models Embeddings, vector search or retrieval-augmented generation SQL and large-scale data processing AWS or another cloud platform Docker, APIs and production deployment Experiment tracking and model monitoring Financial markets, economics, energy or commodities Time-series modelling Multilingual NLP Distributed systems Previous experience in finance is not required. We are looking for excellent technical potential and an interest in learning how global markets work. Why join Permutable? Work that reaches production You will build systems that contribute to live products and real institutional workflows rather than completing artificial graduate exercises. Meaningful responsibility You will have the opportunity to own problems, contribute ideas and see the direct effect of your work. Broad technical exposure You will gain experience across research, modelling, evaluation, data engineering, deployment and production monitoring. Close mentorship You will work alongside experienced engineers, data scientists, market specialists and company leadership, with access to the context behind important technical and product decisions. A genuine startup culture We are an ambitious and collaborative team. People are encouraged to speak openly, take initiative and improve how we work rather than waiting for instructions. Room to grow with the company As Permutable expands, strong graduate engineers will have the opportunity to take on increasingly complex work and shape their own technical progression. A team that enjoys working together Alongside serious technical work, we hold regular team socials, collaborative sessions and company offsites. We want to build an environment where talented people enjoy working together and feel proud of what they are creating. Who will thrive here? This role will suit someone who: Wants greater ownership than a conventional graduate programme can offer. Enjoys moving between research questions and practical engineering. Is energised by difficult, open-ended problems. Wants to understand the real-world purpose behind the models they build. Prefers a high-trust environment with a steep learning curve. Is comfortable receiving direct feedback and improving quickly. Wants to help build a company, not simply occupy a narrowly defined position. A startup will not offer the predictability of a large corporate graduate scheme. In return, you will gain broader exposure, faster responsibility and the opportunity to make contributions that are visible across the business.

The Role We're looking for an AWS Cloud Engineer to join a team building and scaling a modern, enterprise-grade GenAI platform. This role is centred around designing, building and operating cloud-native solutions on AWS, while working closely with the application layer across both frontend and backend services. You'll collaborate with software engineers to ensure applications built with React, TypeScript and Python are secure, scalable, observable and production-ready. You'll play a key role in shaping cloud architecture, automating infrastructure, improving developer experience, and ensuring systems can reliably support AI-driven products at scale. What You'll Be Doing Design, build and maintain cloud-native infrastructure on AWS Develop Infrastructure as Code using Terraform, CloudFormation or AWS CDK Build and support scalable, secure and resilient application platforms Work closely with engineers developing applications in React, TypeScript and Python Support the deployment and operation of frontend and backend services Design and manage containerised environments using Docker and Kubernetes Build and improve CI/CD pipelines and automated delivery workflows Implement monitoring, logging, tracing and observability best practices Optimise cloud environments for performance, reliability and cost efficiency Support incident response, troubleshooting and root cause analysis Apply cloud security best practices and governance controls Contribute to platform automation and developer self-service capabilities Help define cloud architecture standards and operational best practices What We're Looking For Strong hands-on experience with AWS in production environments Experience designing and operating cloud-native applications and infrastructure Experience with Infrastructure as Code (Terraform, CloudFormation or CDK) Strong understanding of AWS services including IAM, VPC, EC2, ECS, EKS, Lambda, RDS and S3 Experience supporting modern web applications built with React and TypeScript Experience working with backend services developed in Python Experience with Docker and Kubernetes Experience building and maintaining CI/CD pipelines Strong understanding of observability, monitoring and logging practices Experience troubleshooting issues across both cloud infrastructure and application layers Knowledge of cloud security principles and best practices Strong communication and collaboration skills Nice to Have AWS certifications (Solutions Architect, Developer or SysOps) Software engineering experience in Python Experience developing frontend applications using React and TypeScript Experience with GraphQL and REST APIs Experience running production workloads on EKS Experience with serverless technologies such as AWS Lambda Experience with Datadog, Prometheus, Grafana or New Relic Exposure to distributed systems and event-driven architectures Experience working within consulting or client-facing environments Familiarity with GenAI, machine learning or data platforms Please note: We offer flexible hybrid working, but candidates should be based in Northern Ireland and able to attend our Belfast office when required. Why Join Instil? At Instil, we believe great work starts with happy, motivated people. That's why we've built a benefits package that supports your wellbeing, growth, and life outside of work, because when you thrive, so do we. Recognition That Matters: A discretionary annual performance bonus that rewards your impact and contribution to our success. Flexibility Built In: Flexible working arrangements and summer hours, because life isn't 9 to 5, and balance matters. Financial Security: A highly competitive pension scheme with generous employer contributions, private healthcare, and life assurance for peace of mind. Health & Wellbeing: Employee Assistance Programme, mental health support, cycle-to-work scheme, and regular social events to keep our culture vibrant. Time to Recharge: 35 days holiday, enhanced maternity pay, and family-first policies so you can focus on what matters most. Learning Never Stops: From courses to certifications, we'll invest in your development so you can keep growing and shaping what's next. Community & Culture: Opportunities to volunteer, give back, and be part of initiatives that make Instil a truly inclusive and connected workplace. And that's just the start, drop us a note to find out more. Company Description Instil has been delivering world-class software engineering and technology solutions for over 20 years, trusted by global brands to solve complex challenges and drive innovation. From modernising legacy systems to building cutting-edge applications, we help our clients navigate an ever-changing digital landscape with confidence and agility. We're proud to be an award-winning employer, reflecting how our people are at the heart of everything we do: Recognised as a Great Place to Work for three consecutive years, and in 2024 ranked in the Top 20 Best Workplaces in the UK for medium-sized companies. Winner of Company of the Year at the Digital DNA Awards 2022, celebrating excellence in Northern Ireland's tech sector. Driven by a love for technology and a commitment to excellence, we bring together people who want to make a difference. We'll support your journey, because your success is part of ours.