Python jobs in GlasgowCreate job alerts

Are you ready to start a new career in AI Engineering? \n \n AI is expected to generate 170 million jobs by 2030 and at present experienced professionals can earn salaries of upwards of £66,000. \n \n In today’s digital world, AI is transforming every aspect of our lives and is at the heart of modern technological advancements. As skills shortages continue to grow, the demand for qualified entry-level professionals is on the rise. \n \n Your journey to a new career in Artificial Intelligence is just 130 hours and three simple steps away. \n \n Newto Training can support you at any stage of your career journey whether you’re new to the industry or looking to exchange your skills, this Artificial Intelligence course is designed to get you job-ready. \n \n Step One: \n \n Study key data methodologies: AI Fundamentals, Python, Working with AI Models, AI Engineering for Developers, Developing AI Applications all alongside real-world project work to harness the power and understanding of these technologies. We also provide two digital badges: CompTIA AI Essentials and CompTIA AI Prompting Essentials. \n \n Step Two: \n \n Study and take your three AI and data certifications: Azure AI Fundamentals, Azure Data Fundamentals, CompTIA Data+ and CompTIA Data AI \n \n Step Three: \n \n Now that you’re qualified for an entry-level AI or data position paying up to £35,000 per year. Our recruitment support team will begin working with you to help secure a role that suits your new qualifications and any other experience you bring. \n \n Course cost - £2295, or, £191.25 per month \n \n We guarantee you will be offered a job upon completion, or we will refund you 100% of your course fees. \n \n No prior industry experience is required - No matter your background, previous studies or work history - if you think you have the soft skills (communication skills, passion) needed then we can help you launch the career you want. \n \n Click ‘Apply Now’ to begin your new career!

Are you ready to start a new career in Data Analysis? \n The demand for Data Analysts has grown by 20% annually, with experienced professionals earning salaries upwards of £58,000. \n In today’s digital world, data is critical to business decision-making, making the role of a Data Analyst indispensable. As skills shortages continue to grow, the demand for qualified entry-level professionals is on the rise. \n With our Data Analytics career programme we will provide you with: \n\n • 8 training modules: Excel, SQL, Python, R, Tableau, Power BI, CompTIA Data+ & Azure AI Fundamentals\n, • 3 official examinations: Microsoft Power BI Data Analyst, CompTIA Data+, & Microsoft Azure AI Fundamentals\n, • 100+ hours of live instructor-led online classroom training\n, • Real-world Data Analyst project work & live labs to boost your CV\n, • Exam & interview preparation\n, • Job Guarantee with a salary up to £35,000\n\n Course cost - £2995 or £249.58 per month \n We guarantee you will be offered a job upon completion, or we will refund you 100% of your course fees. \n No prior industry experience is required - No matter your background, previous studies or work history - if you think you have the soft skills (communication skills, passion) needed then we can help you launch the career you want. \n Click 'Apply Now’ to begin your new data career!

Are you ready to start a new career in Data Analysis? \n The demand for Data Analysts has grown by 20% annually, with experienced professionals earning salaries upwards of £58,000. \n In today’s digital world, data is critical to business decision-making, making the role of a Data Analyst indispensable. As skills shortages continue to grow, the demand for qualified entry-level professionals is on the rise. \n With our Data Analytics career programme we will provide you with: \n\n • 8 training modules: Excel, SQL, Python, R, Tableau, Power BI, CompTIA Data+ & Azure AI Fundamentals\n, • 3 official examinations: Microsoft Power BI Data Analyst, CompTIA Data+, & Microsoft Azure AI Fundamentals\n, • 100+ hours of live instructor-led online classroom training\n, • Real-world Data Analyst project work & live labs to boost your CV\n, • Exam & interview preparation\n, • Job Guarantee with a salary up to £35,000\n\n Course cost - £2495, or, £207.91 per month \n We guarantee you will be offered a job upon completion, or we will refund you 100% of your course fees. \n No prior industry experience is required - No matter your background, previous studies or work history - if you think you have the soft skills (communication skills, passion) needed then we can help you launch the career you want. \n Click 'Apply Now’ to begin your new data career! \n

Are you ready to start a new career in Data Analysis? \n The demand for Data Analysts has grown by 20% annually, with experienced professionals earning salaries upwards of £58,000. \n In today’s digital world, data is critical to business decision-making, making the role of a Data Analyst indispensable. As skills shortages continue to grow, the demand for qualified entry-level professionals is on the rise. \n With our Data Analytics career programme we will provide you with: \n\n • 8 training modules: Excel, SQL, Python, R, Tableau, Power BI, CompTIA Data+ & Azure AI Fundamentals\n, • 3 official examinations: Microsoft Power BI Data Analyst, CompTIA Data+, & Microsoft Azure AI Fundamentals\n, • 100+ hours of live instructor-led online classroom training\n, • Real-world Data Analyst project work & live labs to boost your CV\n, • Exam & interview preparation\n, • Job Guarantee with a salary up to £35,000\n\n Course cost - £2495, or, £207.91 per month \n We guarantee you will be offered a job upon completion, or we will refund you 100% of your course fees. \n No prior industry experience is required - No matter your background, previous studies or work history - if you think you have the soft skills (communication skills, passion) needed then we can help you launch the career you want. \n Click 'Apply Now’ to begin your new data career! \n

Data Analyst Course Programme – Job Guarantee Included \n Complete online training designed to take you from zero experience to your first data analyst role. Study part-time, build fundamental skills, and get dedicated job placement support until you're hired. Flexible financing options available, with payment plans starting from as low as £142 per month. \n The Programme \n Complete this 10-week online training with just 10-15 hours per week of study time. You'll learn industry-standard tools, including Excel, SQL, Python, and Power BI, while building a professional portfolio with workplace projects. The programme includes earning BCS and CompTIA certifications recognised by UK employers, expert tutor support throughout your studies, and dedicated job placement support with CV help, interview preparation, and direct employer introductions. \n The Outcome \n 93% of graduates secure data analyst roles within 3 months. \n Starting salaries: £28,000 – £38,000 \n Who This Is For \n The programme is completely beginner friendly, so no experience needed. Career changers are welcome, and you can study at your own pace. \n *This programme is available to UK-based learners only. \n Ready to start earning in data? Limited spaces available. Apply now for the next available cohort.

Skilled in Spring Boot, Hibernate, Microservices, Docker, Kubernetes, JPA, MySQL, SQL Server, Snowflake, REST API, Apache Kafka, Jenkins, CI/CD, Python, Machine Learning, Data Analytics. Leveraging GitHub Copilot to enhance productivity and reduce delivery timelines. Mandatory skills: Java, Snowflake, MongoDB, Kafka Core Competencies Languages: Java (717), Python Frameworks: Spring Boot 3.x, Hiberna... ZIPC1_UKTJ

Are you looking to benefit from a new career in Data Analysis? \n If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future as a Data Analyst \n We do this using our specialised Data Analyst career programme which looks to assist and place qualified candidates into a career pathway in Data Analysis. \n Please note this career program is designed for entry level individuals with limited or no experience, so please do not apply if you are already an experience Data Analyst as we will be looking primarily at entry level roles. \n Demand for Data Analysts has grown 20% year on year with experienced analysts easily commanding salaries of £50k+. All business decisions rely on data to ensure correct business decisions are made and therefore the role of the data analyst in the new digital world has become essential for business owners. \n Below are current average salaries in the sector for lower-level positions and fully trained Data Analysts: \n\n • Junior Data Analyst - £30,000\n, • Data Analyst - £50,000\n, • Business Data Analyst - £67,500\n, • Data Analytics Analyst - £80,000\n, • Business Analysts - £60,000\n\n Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and often fast-tracked route into a new career in Data Analysis. \n The courses in the package have been identified by our recruitment partners as industry standards for the UK/European and International Data Analysis sector. \n Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers. \n Whether you are working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks. Your job and career goals are completed in 4 easy steps listed below. \n Step 1 - CompTIA Data+ Qualification \n The first step is completing the CompTIA Data+ Qualification accredited by CompTIA. \n This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. \n Study time for the qualification is approximately 30 hours and qualification is achieved by completing a 1-hour multiple choice exam. \n The course is provided online and comes complete with exam simulators and revision tools. \n You will be provided with access to a tutor and a 1-hour online revision workshop prior to sitting your exam. \n This qualification will set you on a route to becoming a data analyst. \n Step 2 - Data Administration Training \n Data is extracted using various method which are normally IT driven. \n Therefore, we will provide you with access to the following additional courses to ensure you are suitably employable as a data analyst. \n\n • Microsoft excel - to expert level.\n, • Learn SQL - the programming language used for extracting data from more complex databases.\n, • Learn Python 3 - Python 3 is a simple to use programming language used by many analysts.\n, • Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend.\n\n Study time for these courses is approximately 30-60 hours and qualification is achieved through completion of the course with no exam. \n Step 3 - Business Analysis Foundation \n Business Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa. \n Adding a Business Analyst Foundation certificate will make you much more employable and enable you to cross over into business analyst roles and hybrid roles. Business Analysis Foundation accredited by the BCS (The British Computer Society also known as the Chartered Institute of IT). \n Study time for this course is approximately 15 hours and qualification is achieved through an online BCS exam. \n Step 4 - Recruitment Support \n Now you are qualified for an entry level data analyst position our recruitment support team will now begin collaborating with you to help you secure your first a suitable role based on your new qualifications and any other experience you may have. \n We have been helping candidates start and build careers in the project management industry since 2007 and have a 4.8 Trustscore on Trustpilot. \n Our Recruitment Support team will help you work through job applications, interviews and provide you with a full cv review based around your new qualification and written to maximise your chances of obtaining a role in the project management sector. \n They will provide you with guidance as to which roles our most suitable for you as an entry level project sector worker aiming to become a project manager. This will include mock job interviews as well as any help you feel you need. \n Our money back guarantee \n If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams. \n However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months. \n Check our testimonials from the hundreds of candidates we have already helped. \n What Now? \n To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front. \n Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations.

Are you ready to start a new career in Data Analysis? \n The demand for Data Analysts has grown by 20% annually, with experienced professionals earning salaries upwards of £58,000. \n In today’s digital world, data is critical to business decision-making, making the role of a Data Analyst indispensable. As skills shortages continue to grow, the demand for qualified entry-level professionals is on the rise. \n With our Data Analytics career programme we will provide you with: \n\n • 8 training modules: Excel, SQL, Python, R, Tableau, Power BI, CompTIA Data+ & Azure AI Fundamentals\n, • 3 official examinations: Microsoft Power BI Data Analyst, CompTIA Data+, & Microsoft Azure AI Fundamentals\n, • 100+ hours of live instructor-led online classroom training\n, • Real-world Data Analyst project work & live labs to boost your CV\n, • Exam & interview preparation\n, • Job Guarantee with a salary up to £35,000\n\n Course cost - £2495, or, £207.91 per month \n We guarantee you will be offered a job upon completion, or we will refund you 100% of your course fees. \n No prior industry experience is required - No matter your background, previous studies or work history - if you think you have the soft skills (communication skills, passion) needed then we can help you launch the career you want. \n Click 'Apply Now’ to begin your new data career! \n

Are you looking to benefit from a new career in Software Development? Skills shortages in the IT sector is driving the need for qualified, entry-level career seekers and career changers. We help place graduates from this programme in top UK companies and organisations needing to employ entry-level software development staff that can hit the ground running with up-to-date skills gained from this programme. The best part is you will not need any previous experience as fully accredited training, which includes tutor support and mentoring, provides you with the skills, practical knowledge, and qualifications for you to secure a professional job and career in coding. You will also have the reassurance of a job guarantee (£25K-£40K) upon completion. Whether you are working full-time, part-time or are unemployed, this package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks or a few months (step 1 to 4 below). Your job and career goals are completed in four simple steps. Step 1 -HTML and CSS Online Training (*12 weeks) The first step is completing a selection of professional and industry-recognised courses. We have carefully selected these courses to give you the most out of both your learning and employment journey. • HTML Essentials (6 weeks), • CSS Essentials (6 weeks) The training is delivered via multimedia rich video tutorials, presentations, and quizzes through a portal that you study online from anywhere you choose. You will also be assigned an expert tutor and a support mentor to help you throughout your training. Once the HTML & CSS courses are complete, you will be ready to move forward. Step 2 -Online Training (*12 weeks) The second step includes a selection of more advanced courses to get you up to speed. • Learn the Command Line (1.5 weeks), • Learn Git & GitHub (1.5 weeks), • Learn JavaScript (1.5 weeks), • Learn Python 3 (1.5 weeks) JavaScript forms the foundation of almost everything you see on the Internet, so it will be essential! Python is highly versatile. You can use it for both small and complex tasks, and it is used across many different industries. Step 3 - Build a Portfolio Website Project (1 week) Additional Courses • AWS Certified Cloud Practitioner, • Microsoft Certified: Azure Administrator Associate Step 4 -Entry Level Development placement (£25K - £40k) We work with you to secure your first role in software development, website administration or programming, with a starting salary of anywhere between £25K - £40k. While working in your first role, we will release your second batch of training which is specifically designed to increase your development knowledge to help you develop your career further to become a software developer. We have been helping career changers and new career seekers gain new careers since 2009 and we are a CompTIA Gold Partner, accredited by the BCS (Chartered Institute of IT/ British Computer Society) to ensure we provide the highest levels of training. In addition, we are also ELCAS approved to help members of the Armed Forces, Service Leavers and Veterans gain rewarding careers in IT and Cybersecurity. Job Guarantee Due to the success of this programme and the skills shortage of entry-level development staff, we can guarantee you will secure a job upon completion of your study programme, or we will refund you 100% of your course fees back. This is subject to our terms of learning/ terms of business. Enthusiastic about starting a career in coding? Apply now and one of our friendly advisors will be in touch. Keywords: Website, Web Developer, Business Development, Website, Web Design, Front End, Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App Developer, Software Developer, Data Scientist, Cloud Engineer.

Trainee Coding Programme – No Experience Needed \n Future-proof your career in Coding – starting today. \n \n Looking for a career change? Maybe you’re already working but want a more technical role with better long-term prospects. Or you could be between jobs and ready for a fresh start in tech. \n The ITOL Recruit Coding Job Programme is designed to help you move into a high-demand coding role, even if you have no prior experience. \n Train online at your own pace and land your coding role in 1-3 months. \n Please note this is a training course and fees apply \n Job guaranteed - complete the programme and get a job or get your money back. \n Our candidates earn £28,000-£50,000. \n \n Step 1 -HTML and CSS Online Training (*12 weeks) \n The first step is completing a selection of professional and industry-recognised courses. We have carefully selected these courses to give you the most out of both your learning and employment journey. \n\n • HTML Essentials (6 weeks)\n, • CSS Essentials (6 weeks)\n\n The training is delivered via multimedia rich video tutorials, presentations, and quizzes through a portal that you study online from anywhere you choose. You will also be assigned an expert tutor and a support mentor to help you throughout your training. \n Once the HTML & CSS courses are complete, you will be ready to move forward. \n Step 2 -Online Training (*12 weeks) \n The second step includes a selection of more advanced courses to get you up to speed. \n\n • Learn the Command Line (1.5 weeks)\n, • Learn Git & GitHub (1.5 weeks)\n, • Learn JavaScript (1.5 weeks)\n, • Learn Python 3 (1.5 weeks)\n\n JavaScript forms the foundation of almost everything you see on the Internet, so it will be essential! Python is highly versatile. You can use it for both small and complex tasks, and it is used across many different industries. \n Step 3 - Build a Portfolio Website Project (1 week) \n Additional Courses \n\n • AWS Certified Cloud Practitioner\n, • Microsoft Certified: Azure Administrator Associate\n\n Step 4 -Entry Level Development placement (£25K - £40k) \n We work with you to secure your first role in software development, website administration or programming, with a starting salary of anywhere between £25K - £40k. While working in your first role, we will release your second batch of training which is specifically designed to increase your development knowledge to help you develop your career further to become a software developer. \n We have been helping career changers and new career seekers gain new careers since 2009 and we are a CompTIA Gold Partner, accredited by the BCS (Chartered Institute of IT/ British Computer Society) to ensure we provide the highest levels of training. \n In addition, we are also ELCAS approved to help members of the Armed Forces, Service Leavers and Veterans gain rewarding careers in IT and Cybersecurity. \n Job Guarantee \n Due to the success of this programme and the skills shortage of entry-level development staff, we can guarantee you will secure a job upon completion of your study programme, or we will refund you 100% of your course fees back. This is subject to our terms of learning/ terms of business. \n Enthusiastic about starting a career in coding? Apply now and one of our friendly advisors will be in touch. \n Keywords: Website, Web Developer, Business Development, Website, Web Design, Front End, Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App Developer, Software Developer, Data Scientist, Cloud Engineer.

Are you looking to benefit from a new career in Data Analysis? \n If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future as a Data Analyst \n We do this using our specialised Data Analyst career programme which looks to assist and place qualified candidates into a career pathway in Data Analysis. \n Please note this career program is designed for entry level individuals with limited or no experience, so please do not apply if you are already an experience Data Analyst as we will be looking primarily at entry level roles. \n Demand for Data Analysts has grown 20% year on year with experienced analysts easily commanding salaries of £50k+. All business decisions rely on data to ensure correct business decisions are made and therefore the role of the data analyst in the new digital world has become essential for business owners. \n Below are current average salaries in the sector for lower-level positions and fully trained Data Analysts: \n\n • Junior Data Analyst - £30,000\n, • Data Analyst - £50,000\n, • Business Data Analyst - £67,500\n, • Data Analytics Analyst - £80,000\n, • Business Analysts - £60,000\n\n Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and often fast-tracked route into a new career in Data Analysis. \n The courses in the package have been identified by our recruitment partners as industry standards for the UK/European and International Data Analysis sector. \n Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers. \n Whether you are working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks. Your job and career goals are completed in 4 easy steps listed below. \n Step 1 - CompTIA Data+ Qualification \n The first step is completing the CompTIA Data+ Qualification accredited by CompTIA. \n This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. \n Study time for the qualification is approximately 30 hours and qualification is achieved by completing a 1-hour multiple choice exam. \n The course is provided online and comes complete with exam simulators and revision tools. \n You will be provided with access to a tutor and a 1-hour online revision workshop prior to sitting your exam. \n This qualification will set you on a route to becoming a data analyst. \n Step 2 - Data Administration Training \n Data is extracted using various method which are normally IT driven. \n Therefore, we will provide you with access to the following additional courses to ensure you are suitably employable as a data analyst. \n\n • Microsoft excel - to expert level.\n, • Learn SQL - the programming language used for extracting data from more complex databases.\n, • Learn Python 3 - Python 3 is a simple to use programming language used by many analysts.\n, • Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend.\n\n Study time for these courses is approximately 30-60 hours and qualification is achieved through completion of the course with no exam. \n Step 3 - Business Analysis Foundation \n Business Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa. \n Adding a Business Analyst Foundation certificate will make you much more employable and enable you to cross over into business analyst roles and hybrid roles. Business Analysis Foundation accredited by the BCS (The British Computer Society also known as the Chartered Institute of IT). \n Study time for this course is approximately 15 hours and qualification is achieved through an online BCS exam. \n Step 4 - Recruitment Support \n Now you are qualified for an entry level data analyst position our recruitment support team will now begin collaborating with you to help you secure your first a suitable role based on your new qualifications and any other experience you may have. \n We have been helping candidates start and build careers in the project management industry since 2007 and have a 4.8 Trustscore on Trustpilot. \n Our Recruitment Support team will help you work through job applications, interviews and provide you with a full cv review based around your new qualification and written to maximise your chances of obtaining a role in the project management sector. \n They will provide you with guidance as to which roles our most suitable for you as an entry level project sector worker aiming to become a project manager. This will include mock job interviews as well as any help you feel you need. \n Our money back guarantee \n If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams. \n However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months. \n Check our testimonials from the hundreds of candidates we have already helped. \n What Now? \n To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front. \n Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations.

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n The candidate must excel in working in a highly collaborative environment together with the business stakeholders, technologists, and control partners to deploy solutions into production. A strong passion for machine learning is essential, along with a commitment to continuous learning, research, and experimentation with new innovations in the field. Candidates should possess a solid understanding of modern NLP and/or financial knowledge, hands-on implementation experience, strong analytical thinking, and a keen interest in applying advanced analytics to solve complex problems in finance and asset management. \n Job Responsibilities \n\n • Design and implement agentic AI workflows that automate and streamline complex business processes.\n, • Design and apply advanced techniques such as semantic search, retrieval-augmented generation (RAG), named entity recognition (NER), prompt engineering, and personalization for content extraction, search, question answering, reasoning, and recommendation. \n, • Develop LLM, NLP, and ML solutions that address client requirements and drive business transformation. \n, • \n Work closely with partner teams - including Business, Technology, Product Management, Strategy, and Business Management - to deploy and scale developed models in production environments. \n • \n Build comprehensive testing setups to evaluate model performance and ensure efficacy and reliability. \n • \n Communicate results effectively to business stakeholders through written reports, visualizations, and presentations. \n • \n Stay current with the latest research in LLM, agentic AI, ML, and data science, and proactively identify and leverage emerging techniques to drive ongoing enhancement. \n\n Qualifications, Capabilities, and Skills \n\n • Proven experience applying NLP, LLM, and ML techniques to solve high-impact business problems. \n, • Demonstrated intellectual curiosity and a passion for staying current with the latest advancements in AI, LLMs, agentic AI frameworks, and data science.\n, • Proficiency in programming languages such as Python and familiarity with machine learning libraries and frameworks. \n, • \n Excellent communication skills and ability to work collaboratively in a fast-paced, dynamic environment. \n \n • Prior experience in financial services or asset management is desirable, along with a strong interest in applying AI to the financial domain.\n \n\n ABOUT US \n 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. \n 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 \n FAQs \n for more information about requesting an accommodation. \n ABOUT THE TEAM \n J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.â

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n As an Applied AI Lead in our cross-functional team you will use your advanced applied research, AI engineering and data science expertise to drive and lead complex initiatives across the Corporate Functions including Risk, Finance, Compliance and Legal. You will collaborate closely with technology and business partners to source, analyse and integrate diverse data; develop & evaluate models; architect, implement & deploy software solutions to public cloud infrastructure benefiting over 200k employees across the lines of business. \n You'll solve business problems by building systems to surface insights from a wide and ever-increasing range of data sources including news, company filings, non-government organisation reports and market data. You'll care about producing high-quality, maintainable AI solutions and be keen to develop skills across a broad and evolving technology stack centred on Large Language Models (LLMs), Generative AI, Agentic systems, Python and AWS cloud infrastructure. \n Job responsibilities: \n\n • Lead the design, build and deployment of impactful end-to-end AI solutions surfacing actionable insights for many business groups as part of a diverse team\n, • Drive and participate in exciting research and development activities for new and existing AI products, setting technical direction and standards\n, • Engage with stakeholders to understand and translate business requirements into robust technical solutions\n, • Oversee the complete product and software development lifecycle, including architecture, design, coding, testing, peer review, continuous integration and deployment, and validation\n, • Mentor and guide junior team members, fostering a culture of technical excellence through knowledge sharing, pair programming, collaborative debugging and design workshops\n\n Required qualifications, capabilities, and skills: \n\n • Advanced degree (Master's or PhD) in a STEM subject (including Data Science, Computer Science, Engineering, Physical Sciences, Applied Mathematics or Statistics)\n, • Extensive practical research experience and a proven track record of applying AI and adjacent techniques to solve real-world problems in industry or academia\n, • Strong Python programming skills and deep familiarity with the Python ecosystem (i.e. pandas, numpy, scikit-learn, pytorch, pip, pytest)\n, • Demonstrated ability to lead technical teams and initiatives with strong communication and stakeholder management skills\n\n Preferred qualifications, capabilities, and skills: \n\n • Experience applying large language models in agentic systems in industry\n, • Practical experience with graph technologies including databases and graph analytics frameworks\n, • Experience in natural language processing (NLP) and its applications\n, • User interface design and development experience using React\n, • Exposure to public cloud technologies and microservice deployment\n, • Experience in the financial services industry\n\n ABOUT US \n 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. \n 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 \n FAQs \n for more information about requesting an accommodation. \n ABOUT THE TEAM \n 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.

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Assume a vital position as a key member of a high-performing team that delivers infrastructure and performance excellence. Your role will be instrumental in shaping the future at one of the world's largest and most influential companies. \n As a Lead Infrastructure Engineer at JPMorganChase within the \n Market Data Distribution Systems \n team \n , you \n apply deep knowledge of software, applications, and technical processes within the infrastructure engineering discipline. Continue to evolve your technical and cross-functional knowledge outside of your aligned domain of expertise. \n Job responsibilities \n\n • \n Applies technical expertise and problem-solving methodologies to projects of moderate scope \n\n • Works with other platforms to architect and implement changes required to resolve issues and modernize the organization and its technology processes\n, • Executes creative solutions for the design, development, and technical troubleshooting for problems of moderate complexity\n, • Strongly considers upstream/downstream data and systems or technical implications and advises on mitigation actions\n, • Provide production support for critical market data platforms, ensuring stability, performance, and availability.\n, • Implement production changes and deliver timely resolution to production issues, including clear root-cause ownership and follow-through.\n, • Develop tools and automation to improve production support processes, monitoring, and overall stability of the market data infrastructure.\n, • Communicate and interact efficiently with lines of business during issues or outages, providing clear status, impact, and recovery updates.\n, • Collaborate with team members to resolve problems and deliver project tasks and troubleshooting efforts.\n, • Liaise with plan/build teams to ensure a smooth transition from project delivery to business-as-usual support for new products and processes.\n, • Work with vendors to help drive technical strategy, improve service, and resolve recurring or systemic issues.\n, • Provide advice on and adhere to operational and technical standards, best practices, processes, and procedures.\n, • Work cross-functionally and across geographies to meet overall goals.\n, • Develop and manage key relationships across the firm and with industry/business community contacts to help shape direction and adopt best practices.\n, • Adds to team culture of diversity, opportunity, inclusion, and respect\n\n Required qualifications, capabilities, and skills \n\n • \n Deep knowledge of one or more areas of infrastructure engineering such as hardware, networking terminology, databases, storage engineering, deployment practices, integration, automation, scaling, resilience, or performance assessments \n\n • Drives to continue to develop technical and cross-functional knowledge outside of the product\n, • Deep knowledge of cloud infrastructure and multiple cloud technologies with the ability to operate in and migrate across public and private clouds\n, • In-depth knowledge and hands-on experience of market data technologies (installation and support of) used by trading applications, including: LSEG RMDS and EEDs, DACS, Bloomberg BPIPE and MFA, Solace, Metafluent, ITRS Geneos\n • Deep knowledge of market data feeds and trading content (previous experience with direct exchange connectivity is an advantage.\n, • Data content and quality expertise - ability to validate if a price is correct; experienced in using tick history tools.\n, • Programming/scripting: Shell, Python, Perl, SQL, nice to have Javascript, C++ \n, • Networking: IP (TCP/UDP/MCAST) and familiarity with switch/routing topologies\n, • Operating systems: Linux (RedHat) system administration\n, • Cloud computing: AWS\n, • Market data APIs: OpenMAMA, LSEG APIs, Bloomberg APIs\n\n ABOUT US \n 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. \n 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 \n FAQs \n for more information about requesting an accommodation. \n ABOUT THE TEAM \n 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.

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n We have a Lead Site Reliability Engineer (SRE) opportunity within our Google Cloud Site Reliability Engineering team. \n As a Lead Site Reliability Engineer at JPMorgan Chase within the Infrastructure Platform - Cloud Foundational Services SRE organization, you will join our Google Cloud Site Reliability Engineering team operating within a global follow-the-sun support model. \n Job Responsibilities: \n\n • Lead and Implement SRE frameworks to support global google cloud environments and ensure the highest level of SLOs through operational excellence\n, • Mastery of application, data, infrastructure, and Agentic AI disciplines\n, • Keen understanding of financial control and budget management using expertise in working in partnership with colleagues throughout the firm, and in leading collaborative teams to achieve common goals\n, • Uses enterprise-authorized AI capabilities within the work environment to accelerate major-incident triage, troubleshooting, and post-incident analysis, validating outputs and handling operational data according to sensitivity and security requirements.\n, • Provide support to develop & improve the quality of technical engineering documentation\n, • Provide technical supervision, oversight and problem resolution for engineering activities\n, • Champion a DevOps model so that services are automated and elastic across all platforms\n\n Required qualifications, capabilities, and skills: \n\n • Google & Azure cloud expertise in a mission critical production environment\n, • Strong understanding about container technologies such as Docker, Kubernetes, GKE and HELM\n, • Experience in programming in one of the following languages: Python, shell scripting or GO along with good understanding of REST APIs\n, • Hands-on experience with cloud-based technologies and tools especially in deployment, monitoring and operations, such as Google Observability, Azure Monitor, Data Dog, Prometheus, Splunk, Elasticsearch and Grafana.\n, • Demonstrated experience using enterprise-authorized AI capabilities within the work environment to improve SRE workflows (e.g., incident investigation support and knowledge capture) with strong validation habits and awareness of data sensitivity.\n, • Ability to evaluate AI-assisted operational recommendations for correctness and risk, define appropriate guardrails for team usage, and ensure outcomes align to resiliency and security expectations.\n, • Strong understanding about the Google Cloud governance and compliance and cost management\n, • Strong working knowledge of modern development technologies and tools such Agile, CI/CD, Git, Infrastructure as Code, Terraform and Jenkins.\n, • Google Cloud certification or equivalent technical experience in the Public Cloud.\n, • Good understanding of Agentic AI SDKs and GitHub Copilot Skills.\n\n Preferred qualifications, capabilities, and skills: \n\n • Good understanding of operating systems such as Windows, Linux (Redhat / Ubuntu)\n, • Good understanding of LLM and other AI/ML frameworks which can be used in AIOPS \n\n ABOUT US \n 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. \n 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 \n FAQs \n for more information about requesting an accommodation. \n ABOUT THE TEAM \n 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.

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n With your expertise in delivering infrastructure solutions, you are a top-performer in your field. Come on board as a highly appreciated member of a winning team. \n As an Infrastructure Engineer II at JPMorganChase within the \n Market Data Distribution Systems \n team, \n you \n develop knowledge of software, applications, and technical processes within the infrastructure engineering discipline. Through this work you begin to apply your proficiency in a single application or technical methodology. \n Job responsibilities\n \n • Applies technical knowledge to assignments with a defined scope such as testing the performance of the infrastructure and understanding and verifying that requirements were successfully met\n, • Drives results, collects and analyzes monitoring data in test and production, and sees assignments through to completion\n, • Carries out day to day work assignments with some guidance and within documented parameters\n, • Escalates issues to appropriate leaders\n, • Develops considerations for upstream/downstream data and systems or technical implications\n, • Provide production support for critical market data platforms, ensuring stability, performance, and availability.\n, • Implement production changes and deliver timely resolution to production issues, including clear root-cause ownership and follow-through.\n, • Develop tools and automation to improve production support processes, monitoring, and overall stability of the market data infrastructure.\n, • Communicate and interact efficiently with lines of business during issues or outages, providing clear status, impact, and recovery updates.\n, • Collaborate with team members to resolve problems and deliver project tasks and troubleshooting efforts.\n, • Liaise with plan/build teams to ensure a smooth transition from project delivery to business-as-usual support for new products and processes.\n, • Work with vendors to help drive technical strategy, improve service, and resolve recurring or systemic issues.\n, • Provide advice on and adhere to operational and technical standards, best practices, processes, and procedures.\n, • Work cross-functionally and across geographies to meet overall goals.\n, • Develop and manage key relationships across the firm and with industry/business community contacts to help shape direction and adopt best practices.\n, • Adds to team culture of diversity, opportunity, inclusion, and respect\n\n Required qualifications, capabilities, and skills \n\n • \n Proficient knowledge of hardware, networking terminology, databases, storage engineering, deployment practices, integration, automation, scaling, resilience, and performance assessments \n\n • \n Experience with cloud technologies with the ability to operate in and migrate across public cloud, AWS. \n\n • Experience of supporting IT Infrastructures\n, • Knowledge of and hands-on experience of market data technologies (installation and support of) used by trading applications, including: LSEG RMDS and EEDs, DACS, Bloomberg BPIPE and MFA, Solace, ITRS Geneos\n • Knowledge of market data feeds and trading content (previous experience with direct exchange connectivity is an advantage.\n, • Experience in Programming/scripting: Shell, Python, Perl, SQL\n, • Experience in Networking: IP (TCP/UDP/MCAST) and familiarity with switch/routing topologies\n, • \n Experience in Operating systems: Linux (RedHat) system administration \n\n\n ABOUT US \n 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. \n 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 \n FAQs \n for more information about requesting an accommodation. \n ABOUT THE TEAM \n 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.

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products. \n As a Senior Lead Software Engineer at JPMorgan Chase within the Enterprise Technology - Public Cloud Engineering team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications. \n As a Senior Machine Learning and Generative AI Engineer in Public Cloud Engineering, you will lead hands-on architecture, development, and production deployment of ML and LLM-powered solutions. You’ll apply strong engineering practices, rigorous experimentation, and responsible AI methods to deliver high-impact capabilities for our businesses, partnering across a global, multidisciplinary team. \n Job responsibilities \n\n • Design and implement end-to-end ML and LLM solutions, from problem framing and data preparation through training, evaluation, deployment, and ongoing optimization.\n, • Apply modern GenAI workflows, including prompt engineering techniques, tracing, evaluations, guardrails, and safety frameworks to align model behavior with business objectives and risk controls.\n, • Productionize high-quality models and pipelines on public clouds, leveraging Kubernetes for container orchestration where appropriate.\n, • Establish robust offline and online evaluation methodologies, including intrinsic and extrinsic metrics (e.g., relevance, safety, latency, cost efficiency), and integrate automated testing/monitoring.\n, • Collaborate closely with product, platform, security, controls, and business stakeholders across a geographically distributed organization; provide technical mentorship and code reviews.\n, • Document solution designs and decisions; contribute to reusable components, patterns, and best practices for ML/GenAI in public cloud environments.\n, • Optimize for cost, performance, and resilience; incorporate data privacy, compliance, and responsible AI considerations throughout the lifecycle.\n\n Required qualifications, capabilities, and skills \n\n • Formal training or certification on software engineering concepts and 5+ years applied experience\n, • MS or PhD in Computer Science, Data Science, Statistics, Mathematical Sciences, or Machine Learning; strong background in mathematics and statistics.\n, • Extensive expertise applying data science and ML to business problems with strong programming in Python and/or Java.\n, • Hands-on experience with GenAI/LLMs (e.g., GPT, Claude, Llama or similar), including prompt engineering, tracing, evaluations, and guardrails.\n, • Solid background in NLP and Generative AI; strong understanding of ML and deep learning methods and large language models.\n, • Extensive experience with ML/DL toolkits and libraries (e.g., Transformers, Hugging Face, TensorFlow, PyTorch, NumPy, scikit-learn, pandas).\n, • Demonstrated leadership in proposing and delivering AI/ML and GenAI solutions; ability to drive technical direction and influence stakeholders.\n, • Experience designing experiments, training frameworks, and metrics aligned to business goals.\n, • Expertise with at least one major public cloud (AWS, GCP, or Azure) and with containerization/orchestration (Docker/Kubernetes).\n, • Strong grounding in data structures, algorithms, ML, data mining, information retrieval, and statistics.\n, • Excellent communication skills, with the ability to engage senior technical and business partners.\n\n Preferred qualifications, capabilities, and skills\n \n • Depth in one or more: Natural Language Processing, Reinforcement Learning, Ranking/Recommendation, or Time Series Analysis.\n, • Additional familiarity with ML frameworks (e.g., PyTorch, Keras, MXNet, scikit-learn).\n, • Understanding of financial services or wealth management domains.\n, • Desirable: Contributions to open-source ML/LLM tooling; certifications in AWS, Azure, GCP, or Kubernetes.\n\n ABOUT US JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. \n We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. \n 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. \n JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans \n ABOUT THE TEAM Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. \n As a Lead Software Engineer at JPMorganChase, within the Treasury/Chief Investment Office (T/CIO), Corporate Technology team you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. \n This new role requires a driven individual who thrives in a fast-paced setting, takes ownership of tasks, and is comfortable working as part of a team on solutions for the T/CIO trading desks. \n Job Responsibilities \n\n • Develops, enhances and supports our Trade Execution Platform, which is critical to trading and other business activities.\n, • Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems\n, • Develops secure and high-quality production code, and reviews and debugs code written by others\n, • Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team\n, • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation\n, • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems\n, • \n Contribute to the wider team culture of diversity, opportunity, inclusion, and respect. \n\n\n Required Qualifications, Capabilities, and Skills \n\n • Formal training or certification in software engineering concepts with experience delivering in a commercial setting.\n, • Hands-on experience in system design, application development, testing, and operational stability.\n, • Advanced proficiency in Python or Java programming languages and frameworks.\n, • Ability to independently troubleshoot design and functionality issues.\n, • Demonstrated ability to problem-solve in real-time and handle technical issues with a sense of urgency.\n, • Strong communication skills and ability to work collaboratively with non-technical colleagues to understand and address business needs.\n, • Ability to self-drive delivery and take ownership end to end.\n, • Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security\n, • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices\n, • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security\n, • \n Practical cloud native experience \n\n\n Preferred qualifications, capabilities, and skills \n\n • Financial Industry experience and familiarity with investment banking products - e.g. fixed income, derivatives.\n, • Project execution experience with strong communication skills and ability to work collaboratively with non-technical colleagues to understand and address business needs.\n, • Comfort working across full stack development, particularly with React. \n, • Exposure to cloud technologies using AWS.\n, • Familiarity with container orchestration (K8s).\n\n ABOUT US \n 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. \n 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 \n FAQs \n for more information about requesting an accommodation. \n ABOUT THE TEAM \n 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.

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n As a Lead Software Engineer in Cloud Foundational Services, you will enhance, build, and deliver secure, stable, and scalable technology products. You will lead delivery across multiple technical domains while staying hands-on with design, development, testing, and troubleshooting. You will help define and reinforce engineering standards that support firm objectives. You will partner with your team to improve operational stability through automation and thoughtful architecture. You will contribute to a culture of diversity, opportunity, inclusion, and respect. \n Build the cloud-native foundations that help teams across JPMorganChase deliver secure, reliable technology at scale. You'll work in an agile, cloud-focused environment where your ideas shape how we design, build, test, and run critical platforms. In this role, you'll lead by example with hands-on engineering and drive outcomes through strong technical decisions. You'll also help strengthen our engineering standards and continuously improve the developer and operational experience. \n Job Responsibilities \n\n • Design, develop, test, and troubleshoot complex, large-scale cloud-native systems using creative approaches to overcome technical challenges\n, • Lead by example in delivering secure, high-quality production code\n, • Review and debug code written by others, and share knowledge to support and develop junior talent\n, • Identify recurring issues and drive elimination or automation of remediation to improve operational stability\n, • Lead evaluation sessions to assess architectural designs, technical credentials, and fit within existing systems and information architecture\n, • Drive adoption of modern software engineering practices and leading-edge technologies\n, • Contribute to a team culture of diversity, opportunity, inclusion, and respect\n\n Required Qualifications, Capabilities, and Skills \n\n • Demonstrated ability to deliver system design, application development, testing, and operational stability for multi-tenant platforms\n, • Proficiency in at least one modern programming language\n, • Proficiency in automation and continuous delivery methods, with a focus on delivering tangible improvements\n, • Proficiency across the Software Development Life Cycle\n, • Understanding of agile methodologies, application resiliency, infrastructure cost management, and least-privilege security principles\n, • Knowledge of Infrastructure as Code and experience working in a large-scale multi-cloud environment\n\n Preferred Qualifications, Capabilities, and Skills \n\n • Experience with Java, Python, or Go\n\n ABOUT US \n 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. \n 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 \n FAQs \n for more information about requesting an accommodation. \n ABOUT THE TEAM \n 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.

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch reliability and observability for our most critical platforms. \n As a Senior Lead Site Reliability Engineer at JPMorgan Chase within the Commercial & Investment Bank, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of reliability, observability, and performance challenges that span multiple technologies and applications. \n Job responsibilities \n\n • Regularly provides technical guidance and direction on site reliability practices to support the business and its technical teams, contractors, and vendors\n, • Develops secure and high-quality production code for reliability tooling and telemetry pipelines, and reviews and debugs code written by others\n, • Drives decisions that influence reliability design, observability architecture, application functionality, and technical operations and processes\n, • Serves as a function-wide subject matter expert in one or more areas of site reliability, observability, or telemetry engineering\n, • Leads resiliency design reviews and breaks up complex reliability problems into digestible work for other engineers, acting as a technical lead for large-sized products\n, • Acts as the main point of contact during major incidents, demonstrating the skills to identify and solve issues quickly to avoid financial losses, and champions blameless postmortem culture\n, • Collaborates with team members and stakeholders to define comprehensive service level indicators, service level objectives, and error budgets\n, • Designs, implements, and maintains operational reliability for large-scale OpenTelemetry pipelines on hybrid on-prem/cloud environments, supporting telemetry ingestion, processing, and export to backends such as InfluxDB, Prometheus, Elasticsearch, and OpenSearch\n, • Drives the assessment, refactoring, and incremental migration of custom legacy telemetry collection code to standardized OpenTelemetry instrumentation, reducing technical debt while maintaining system stability\n, • Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices, and influences peers and project decision-makers to consider the use and application of leading-edge observability and reliability technologies\n, • Adds to the team culture of diversity, opportunity, inclusion, and respect\n\n Required qualifications, capabilities, and skills \n\n • Formal training or certification on software engineering concepts and advanced applied experience delivering system design, application development, testing, and operational stability\n, • Advanced knowledge of reliability, scalability, performance, security, enterprise system architecture, toil reduction, and other site reliability best practices, with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, observability, distributed systems, etc.)\n, • Advanced proficiency in one or more programming languages (e.g., Java, Python, Go, etc.)\n, • Advanced proficiency and experience in observability such as white and black box monitoring, SLO alerting, and telemetry collection using tools such as Grafana, Dynatrace, Prometheus, Datadog, Splunk, Elasticsearch, etc.\n, • Proficiency in continuous integration and continuous delivery tools (e.g., Jenkins, GitLab, Terraform, etc.)\n, • Experience with container and container orchestration (e.g., ECS, Kubernetes, Docker, etc.)\n, • Hands-on experience with the design, deployment, and operation of OpenTelemetry collectors in production environments, focusing on technical aspects such as configuring, optimizing, and troubleshooting OTLP endpoints and receivers\n, • Ability to tackle reliability design and functionality problems independently with little to no oversight\n, • Practical cloud native experience\n, • \n Ability to expand and collaborate across different levels and stakeholder groups \n\n\n Preferred qualifications, capabilities, and skills \n\n • Knowledge of distributed tracing, metrics, and logging best practices\n, • Certification in AWS, Kubernetes, or relevant technologies\n, • Proven track record in system health monitoring, capacity management, and blameless postmortems for high-availability services\n, • Deep understanding of distributed system design principles, networking (TCP/IP, DNS, load balancing), and Linux internals\n, • Contributions to open-source observability or telemetry projects\n, • Experience working with agent control planes and management protocols; hands-on knowledge of OpAMP is highly desirable\n\n ABOUT US \n 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. \n 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 \n FAQs \n for more information about requesting an accommodation. \n ABOUT THE TEAM \n 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.

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n About The Role \n As a Senior Lead Solution Architect at JPMorganChase within the Securities Services Engineering & Architecture team, you will be part of a cross-functional agile team responsible for designing, assessing, and delivering high-quality solution architectures underpinning the platforms built as part of a strategic reengineering effort supporting the Securities Services businesses within the Commercial & Investment Bank. Solution Architecture, as practiced in this role, comprises three interrelated disciplines - Functional Architecture, Information Architecture, and Technical Architecture - and the Lead Solution Architect is expected to work fluidly across all three. You will engage across multiple concurrent streams of work, helping accelerate development, improve solution quality, and ensure alignment to firm-wide architecture patterns and standards. \n Job Responsibilities \n\n • \n Engage with Business Operations, Product Management, and Technology stakeholders to ensure business requirements are properly articulated, understood, and realized as secure and robust solutions. \n\n • \n Design and assess end-to-end solution architectures for enterprise-scale platforms, including data modeling, meta-modeling, master and reference data management, data quality, metadata management, data taxonomy, data integration, and data migration. \n\n • \n Apply AI tools and techniques to improve Solution Architecture practices - including accelerating requirements analysis, pattern identification, data modeling, and architecture documentation. \n\n • \n Ensure full conformance with firm-wide, CIB, and sub-Line of Business (sub-LOB) architecture patterns and standards, participating in architecture governance bodies. \n\n • \n Lead evaluation sessions with external vendors, internal teams, and technology partners to assess architectural designs, technical credentials, and applicability within existing systems and information landscapes. \n\n • \n Identify opportunities to eliminate or automate remediation of recurring issues to improve operational stability and solution quality. \n\n • \n Evangelize the benefits and importance of Solution Architecture across business and technology communities through strong communication, presentations, workshops, and agile development forums. \n\n • \n Leverages enterprise-authorized AI capabilities within the work environment to accelerate architecture analysis and decisioning across the product family, with human-in-the-loop validation and appropriate handling of sensitive data. \n\n • \n Establishes reuse-first AI-enabled engineering patterns and governance across SDLC/toolchain practices, ensuring traceability/auditability, resiliency, and security controls. \n\n\n Required Qualifications, Capabilities, and Skills \n\n • \n Formal training or certification on software engineering or architecture concepts and applied experience. \n\n • \n Hands-on Solution Architecture experience in enterprise-sized applications spanning functional, information, and technical dimensions, with strong working knowledge of data modeling and meta-modeling (such as UML) or tools such as ERwin, Power Designer, or MagicDraw. \n\n • \n Knowledge of data architecture options including ODS, Data Lake, Data Catalog (DCAT), Data Warehousing, OLTP, and OLAP, and the treatment of data as a technology asset. \n\n • \n Knowledge of core Solution Architecture capabilities: Master and Reference Data Management, Data Quality, Metadata Management, Data Taxonomy, Data Integration, Data Migration, and Data Modeling. \n\n • \n Demonstrated proficiency in AI, machine learning, or related techniques as applied to architecture or software engineering disciplines. \n\n • \n Hands-on experience with object-oriented software development using languages such as Java, Python, or C++; data formats including XML and JSON; and database management technologies including SQL, Oracle, Cassandra, and Public Cloud data offerings. \n\n • \n Very strong knowledge of the Financial Services domain with emphasis on institutional businesses including Trading Middle Office, Prime Brokerage, Custody, Fund Accounting, and Securities and Derivatives Products across buy-side and sell-side perspectives. \n\n • \n Experience working within lean/agile development frameworks, continuous integration, and continuous delivery. \n\n • \n Extremely strong communication and facilitation skills across business and technology stakeholders, with the ability to communicate unambiguously through presentations, documents, workshops, and agile meetings. \n\n • Demonstrated experience applying enterprise-authorized AI capabilities within the work environment in architecture and engineering workflows with strong validation habits and awareness of data sensitivity.\n, • Ability to evaluate and integrate AI-enabled capabilities into enterprise-grade architectures while meeting resiliency, security, and auditability requirements.\n\n Preferred Qualifications, Capabilities, and Skills \n\n • \n Hands-on Public Cloud solution design experience, primarily AWS, including architecture certification for a Public Cloud provider. \n\n • \n Experience with microservice application development, Service-Oriented Architecture, or N-Tier Architecture. \n\n • \n Experience with Infrastructure as Code designs and secure application and software design practices. \n\n • \n Experience with Cyber Security concerns informing solution architectures, including working knowledge of industry standards in the authentication and authorization domains. \n\n • \n UML experience/exposure \n\n\n ABOUT US \n 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. \n 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 \n FAQs \n for more information about requesting an accommodation. \n ABOUT THE TEAM \n 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.

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Are you passionate about building the next generation of AI solutions? Join us to lead and mentor a team of talented engineers, drive innovation in generative and agentic AI, and deliver impactful, scalable technology for Risk Technology. You’ll collaborate with cross-functional partners and play a key role in shaping the future of Asset and Wealth Management Risk. \n As a Lead Agentic Gen AI / Natural Language Querying Engineer – Vice President at JPMorgan Chase in Risk Technology, you will lead a specialized technical area, driving impact across teams, technologies, and projects. You will leverage your expertise in software engineering, multi-agent system design, data science, and NLQ to deliver complex, high-impact initiatives. You will mentor and guide a team of engineers, foster best practices in AI engineering, and partner with data science, product, and business teams to deliver end-to-end solutions that drive value for the Risk business. \n Job responsibilities: \n\n • Lead the deployment and scaling of advanced generative AI and agentic AI solutions for the Risk business, with a focus on natural language querying of structured and unstructured data sources.\n, • Design and execute enterprise-wide, reusable AI frameworks and core infrastructure to accelerate AI solution development, including NLQ capabilities for diverse data types.\n, • Develop multi-agent systems for orchestration, agent-to-agent communication, memory, telemetry, guardrails, and NLQ-driven data retrieval and processing.\n, • Guide research on context and prompt engineering techniques to improve prompt-based model performance and NLQ accuracy, utilizing libraries such as LangGraph.\n, • Develop and maintain tools and frameworks for prompt-based agent evaluation, monitoring, and optimization at enterprise scale, with emphasis on NLQ workflows and orchestration.\n, • Build and maintain data pipelines and processing workflows for scalable, efficient consumption and querying of structured and unstructured data via natural language interfaces.\n, • Write secure, high-quality production code and conduct code reviews.\n, • Partner with Data Science, Product, and Business teams to identify requirements and develop NLQ-enabled solutions.\n, • Communicate technical concepts and results to both technical and non-technical stakeholders, including senior leadership.\n, • Provide technical leadership, mentorship, and guidance to junior engineers, promoting a culture of excellence and continuous learning.\n\n Required qualifications, capabilities, and skills: \n\n • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.\n, • Experience in data science and natural language querying, including experience deploying end-to-end pipelines on AWS.\n, • Strong proficiency in Python.\n, • Hands-on experience in system design, application development, testing, and operational stability.\n, • Experience using LangGraph for multi-agent orchestration and NLQ integration.\n, • Experience with AWS and infrastructure-as-code tools such as Terraform.\n\n Preferred qualifications, capabilities, and skills: \n\n • Strategic thinker with the ability to drive technical vision for business impact.\n, • Experience with agentic telemetry, evaluation services, and orchestration of NLQ workflows.\n, • Demonstrated leadership working with engineers, data scientists, and AI practitioners.\n, • Familiarity with MLOps practices and AI pipelines.\n, • Hands-on experience building and maintaining user interfaces for NLQ and data exploration.\n\n ABOUT US \n 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. \n 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 \n FAQs \n for more information about requesting an accommodation. \n ABOUT THE TEAM \n 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.

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Job Responsibilities \n\n • Designs, develops, and troubleshoots creative software solutions, thinking beyond conventional approaches to solve complex technical problems\n, • Leads the adoption and integration of cutting-edge technologies including Java, Spring, Springboot, React, and Kafka\n, • Develops secure, high-quality production code, and reviews and debugs code written by others\n, • Defines and drives the technology roadmap, focusing on next-generation data, analytics, and automation platforms\n, • Champions the use of AI, machine learning, and advanced analytics to deliver real-time trade processing applications\n, • Identifies opportunities to eliminate or automate recurring issues to improve overall operational stability of software applications and systems\n, • Designs and implements data pipelines, analytics workflows, and reporting solutions using Python, Databricks, and Spark\n, • Develops and maintains web-based applications and dashboards using modern web stacks (React, Angular, etc.)\n, • Builds and optimises data models, ETL/ELT processes, and integration frameworks for large-scale financial data\n, • Ensures data quality, security, lineage, and governance across all team platforms\n\n Required Qualifications, Capabilities, and Skills \n\n • Formal training or certification in software engineering concepts with 7+ years' applied experience\n, • Hands-on practical experience in system design, application development, testing, and maintaining operational stability\n, • Hands-on expertise in Java, Spring, Springboot, Maven, Kafka, and modern web technologies such as React\n, • Strong knowledge of cloud platforms such as AWS, Lambda, ECS, EC2, and Terraform\n, • Knowledge of AMPS, MQ, Cucumber Integration Tests, JUnit, Mockito, and Testcontainers is desirable\n, • Proficiency in automation and continuous delivery, including CI/CD tools such as GitHub Actions and AWS CodePipeline\n, • Advanced proficiency in designing scalable, secure, and resilient systems for large-scale data environments\n, • Demonstrated ability to lead engineering teams, set technical direction, and deliver complex projects\n, • Demonstrated experience in leading and implementing standard software engineering practices, such as Agile development, code reviews, automated testing, CI/CD pipelines, and documentation\n, • Proficient in using AI development tools as well as agentic workflows\n\n Preferred Qualifications, Capabilities, and Skills \n\n • \n Proven experience in financial markets, Futures & Options, and Trade Execution/Clearing \n\n ABOUT US \n 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. \n 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 \n FAQs \n for more information about requesting an accommodation. \n ABOUT THE TEAM \n 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.

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n This is a rare opportunity to help shape the future of our Private Bank. With the sponsorship from the CEO and the heads of the business, our goal is to create an Agentic Private Bank - reimagining the entire process from start to finish, rethinking the operating model including organizational structures and developing AI agents equipped with the latest tools and technologies to fundamentally reshape how we perform this business. \n Join our dynamic team of innovators and technologists as a Senior Applied AI/ML Associate , where your mission will be to revolutionize how the Bank services and advises clients, deepen client engagements, and drive process transformation. You will analyze existing processes and vast amounts of data to design autonomous AI agents. We seek individuals passionate about leveraging advanced data analysis, statistical modeling, and AI/ML techniques to solve complex business challenges through high-quality, cloud-centric software delivery. Our culture thrives on experimentation, continuous improvement, and learning. You will work in a collaborative, trusting, and intellectually stimulating environment - one that values diversity of thought and fosters creative solutions that serve the best interests of our global clientele. Job Responsibilities \n\n • Develop and implement GenAI and Agentic AI solutions using Python to enhance automation and decision-making processes.\n, • Collaborate with internal stakeholders to identify business needs and develop NLP/ML solutions that address client needs and drive transformation.\n, • Apply large language models (LLMs), machine learning (ML) techniques, and statistical analysis to enhance informed decision-making and improve workflow efficiency, which can be utilized across investment functions, client services, and operational process.\n, • Collect and curate datasets for model training and evaluation.\n, • Perform experiments using different model architectures and hyperparameters, determine appropriate objective functions and evaluation metrics, and run statistical analysis of results.\n, • Monitor and improve model performance through feedback and active learning.\n, • Collaborate with technology teams to deploy and scale the developed models in production.\n, • Deliver written, visual, and oral presentation of modeling results to business and technical stakeholders.\n, • Stay up-to-date with the latest research in LLM, ML and data science. Identify and leverage emerging techniques to drive ongoing enhancement. \n\n Required qualifications, capabilities, and skills \n\n • Advanced degree (MS or PhD) in a quantitative or technical discipline or significant practical experience in industry.\n, • Experience in applying NLP, LLM and ML techniques in solving high-impact business problems, such as semantic search, information extraction, question answering, summarization, personalization, classification or forecasting.\n, • Advanced python programming skills with experience writing production quality code\n, • Good understanding of the foundational principles and practical implementations of ML algorithms such as clustering, decision trees, gradient descent etc.\n, • Hands-on experience with deep learning toolkits such as PyTorch, Transformers, HuggingFace.\n, • Strong knowledge of language models, prompt engineering, model finetuning, and domain adaptation.\n, • Familiarity with latest development in deep learning frameworks. \n, • Ability to communicate complex concepts and results to both technical and business audiences.\n\n Preferred qualifications, capabilities, and skills \n\n • Prior experience of developing solutions for Financial domain\n, • Exposure to distributed model training, and deployment\n, • Familiarity with techniques for model explainability and self-validation\n\n ABOUT US \n 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. \n 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 \n FAQs \n for more information about requesting an accommodation. \n ABOUT THE TEAM \n J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.â

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Help shape how AI systems run reliably in production at scale. In this role, you'll build and operate large language model serving infrastructure, bringing strong engineering fundamentals and site reliability practices to cutting-edge AI platforms. You'll work hands-on with cloud and Kubernetes-based deployments, deep observability, and cost-aware performance tuning. If you enjoy solving hard production problems and making platforms measurably better, you'll find meaningful impact and growth here. \n As a Lead Software Engineer at JPMorgan Chase in the AI and Machine Learning Platform team, you will build and scale AI infrastructure that modernizes traditional infrastructure management and site reliability engineering through applied AI. You will own the reliability, performance, and cost-efficiency of the LLM inference platform end to end. You will operate large language model serving stacks (such as vLLM and llm-d) in production at scale, with deep instrumentation and strong operational rigor. You will partner across engineering to deliver secure software, improve stability, and lead incident response and continuous improvement. \n Job Responsibilities \n\n • Design, develop, troubleshoot, and deliver secure, high-quality production software and services for AI infrastructure\n, • Build backend services and APIs that enable reliable operation of AI infrastructure in production\n, • Operate and scale LLM serving infrastructure (such as vLLM and llm-d), including model hosting, request routing, continuous batching, and KV-cache optimization\n, • Deploy, host, and lifecycle-manage open-source and proprietary LLMs on Amazon EKS and Amazon SageMaker, as well as on-prem and local GPU clusters, using reproducible infrastructure as code and continuous delivery pipelines\n, • Implement observability (logs, metrics, traces) with dashboards and actionable alerting, including Prometheus metrics and Grafana/Alertmanager integration for LLM and GPU workloads\n, • Tune GPU and accelerator capacity, autoscaling, and cost efficiency for LLM inference workloads using performance and optimization techniques (e.g., quantization, parallelism, speculative decoding)\n, • Lead reliability engineering for LLM endpoints through capacity planning, load/soak testing, safe rollouts (blue/green, canary), failover, and incident response for outages and model-quality regressions\n, • Participate in an on-call rotation, lead incident triage and mitigation, and produce clear post-incident root-cause analyses and follow-ups\n, • Identify recurring operational issues and automate remediation to improve platform stability and developer experience\n, • Build and maintain multi-agent systems with strong orchestration (planning, coordination, tool-calling, state/memory, and workflow control) where appropriate\n, • Contribute to an inclusive team culture grounded in diversity, opportunity, inclusion, and respect, and help drive adoption of leading-edge technologies through communities of practice\n\n Required Qualifications, Capabilities, and Skills \n\n • Formal training, certification, or equivalent practical experience in software engineering concepts\n, • Hands-on experience with system design, application development, testing, and operational stability in production environments\n, • Advanced proficiency in Python for building production-grade services and tooling\n, • Proficiency with automation and continuous delivery methods\n, • Hands-on experience with AWS and Terraform for infrastructure delivery and lifecycle management\n, • Strong understanding of site reliability engineering practices, including incident management, root-cause analysis, runbooks, and reliability patterns\n, • Practical knowledge of observability and instrumentation across metrics, logs, and traces\n, • Comfort with on-call operations and production troubleshooting\n, • Hands-on production experience operating LLM inference servers such as vLLM and llm-d (or directly equivalent serving stacks)\n, • Hands-on experience hosting and serving LLMs on Amazon EKS and/or Amazon SageMaker, and on local GPU infrastructure\n, • Knowledge of LLM reliability and risk considerations, including latency/throughput trade-offs, model and weight versioning, prompt/response logging, and safe rollout patterns\n\n Preferred Qualifications, Capabilities, and Skills \n\n • Experience developing generative AI applications, AI agents, vector search, and retrieval-augmented generation patterns\n, • Experience building AI agents using frameworks such as LangChain, CrewAI, LangGraph, or similar orchestration platforms\n, • Experience operating or integrating serving platforms such as KServe, Ray Serve, NVIDIA Triton Inference Server, Text Generation Inference (TGI), alongside vLLM/llm-d\n, • Familiarity with Amazon SageMaker JumpStart, SageMaker Endpoints, and Amazon Bedrock for managed model hosting\n, • Experience with online LLM quality monitoring (e.g., hallucination, toxicity, drift detection) and tracing via OpenTelemetry conventions\n, • Contributions to open-source LLM serving or inference projects (e.g., vLLM, llm-d, Ray, KServe, Triton)\n\n ABOUT US \n 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. \n 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 \n FAQs \n for more information about requesting an accommodation. \n ABOUT THE TEAM \n 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.

\n Python Developer \n Location: Glasgow \n Contract: 1 year \n Work Setup: Hybrid - 3 days in the office Who We Are \n Robert Walters is the world's most trusted talent solutions business. Across the globe, we deliver recruitment, outsourcing, and talent advisory services for businesses of all sizes, opening doors for people with diverse skills, ambitions, and backgrounds. \n Who You Will Work With \n Our client is a global financial services firm that manages wealth, navigates complex markets, and design strategic financial objectives. The firm provides risk management solutions across a variety of sectors, emphasizing long-term relationships, and innovative approaches to financial challenges. \n What You'll Do \n\n • Maintain and improve existing scripts and stored procedures\n, • Support the modernisation, consolidation and simplification of Legacy codebases using Python\n, • Assist ongoing efforts to increase the platform's capacity and scalability\n, • Utilise GenAI tools to automate and accelerate code generation\n\n What You Bring \n\n • Proven programming experience in high-level languages such as Python\n, • Strong competence in relational database technologies (Sybase, IBM DB2)\n, • Hands-on experience with LLM/GenAI tools (GitHub Copilot, ChatGPT, Claude)\n, • Familiar with automated testing methodologies (TDD or BDD), version control systems and CI/CD pipelines\n, • Practical experience with Unix environments, Shell Scripting and job-scheduling tools (Autosys)\n, • Excellent communication skills and prior experience in financial services or banking technology\n, • Knowledge of the Equity Derivative business\n\n What's Next \n If you are ready to take the next step, apply now! Successful applicants will be contacted directly by a recruiter to discuss the role more. \n We are committed to creating an inclusive recruitment experience. If you require support or adjustments to the recruitment process, our Adjustment Concierge Service is here to help. Please feel free to contact us at (see below) to discuss how we can support you. \n This position is being recruited on behalf of our client through our Outsourcing service line. Resource Solutions Limited, trading as Robert Walters, acts as an employment business and agency, partnering with top organizations to help them find the best talent. We welcome applications from all candidates and are committed to providing equal opportunities.

Django Developer (SC Cleared) 600-750 per day | Inside IR35 | Hybrid (Glasgow - 1 day per week) Contract until March 2027 + potential extension Morgan Hunt are working in partnership with a leading UK government organisation to recruit an experienced Django Developer with active SC clearance. The Role To provide hands-on technical leadership for the design, build, productionisation and ongoing operation of secure Django-based applications and supporting infrastructure. The role will establish the development processes, coding standards, API standards, security approach, RBAC model and application architecture needed for repeatable delivery. The developer will bring extensive experience in productionising and securing Django applications, embedding automated testing, CI/CD and agile development practices, and creating documentation to support Technical Design Authority (TDA), security assurance and operational handover. Responsibilities: Lead the architecture, development and deployment of secure Django applications and associated infrastructure in Azure. Define and embed Django development processes, coding standards, API standards, review practices and secure engineering patterns. Design and guide implementation of RBAC, permissions, authentication, authorisation and secure application access models. Set up and improve CI/CD pipelines, automated quality controls, infrastructure-as-code and deployment practices. Establish repeatable automated testing approaches across unit, integration, functional and regression testing. Produce and assure technical documentation for TDA, security assurance, onboarding and ongoing operations. Collaborate with cloud architecture, security, DevOps, delivery and business stakeholders to ensure solutions meet internal standards. Provide hands-on technical leadership, coaching and guidance to other Django developers through design, build, test, deployment and production support. Experience Required Extensive experience developing, deploying and productionising Django applications in live environments. Strong hands-on knowledge of Python, Django, Django templates, API development and secure web application architecture. Experience defining engineering standards, development processes, API standards and secure coding practices. Experience with CI/CD tools (e.g., Azure DevOps, GitHub Actions), infrastructure-as-code and automated testing approaches. Demonstrable ability to create technical, architecture and security documentation for assurance processes. Solid understanding of security best practices, RBAC, data protection and operational readiness in cloud environments. Experience with end-to-end software development lifecycle and agile delivery practices. Additional Details • Day rate: 700-800 (Inside IR35), • Contract until end of September 2026, with likely extension, • Hybrid working - 1 day per week on-site in Glasgow, • Active SC clearance is essential (must have worked on a UK government project within the last 12 months) Morgan Hunt is a multi-award-winning recruitment business for interim, contract and temporary recruitment and acts as an Employment Agency in relation to permanent vacancies. Morgan Hunt is an equal opportunities employer. Job suitability is assessed on merit in accordance with the individual's skills, qualifications and abilities to perform the relevant duties required in a particular role.

\n JOB DESCRIPTION\n Are you passionate about building the next generation of AI solutions? Join us to lead and mentor a team of talented engineers, drive innovation in generative and agentic AI, and deliver impactful, scalable technology for Risk Technology. You’ll collaborate with cross‑functional partners and play a key role in shaping the future of Asset and Wealth Management Risk. Lead Agentic Gen AI / Natural Language Querying Engineer – Vice President at JPMorgan Chase\n As a Lead Agentic Gen AI / Natural Language Querying Engineer – Vice President at JPMorgan Chase in Risk Technology, you will lead a specialized technical area, driving impact across teams, technologies, and projects. You will leverage your expertise in software engineering, multi‑agent system design, data science, and NLQ to deliver complex, high‑impact initiatives. You will mentor and guide a team of engineers, foster best practices in AI engineering, and partner with data science, product, and business teams to deliver end‑to‑end solutions that drive value for the Risk business. Job responsibilities\n \n • Lead the deployment and scaling of advanced generative AI and agentic AI solutions for the Risk business, with a focus on natural language querying of structured and unstructured data sources.\n, • Design and execute enterprise‑wide, reusable AI frameworks and core infrastructure to accelerate AI solution development, including NLQ capabilities for diverse data types.\n, • Develop multi‑agent systems for orchestration, agent‑to‑agent communication, memory, telemetry, guardrails, and NLQ‑driven data retrieval and processing.\n, • Guide research on context and prompt engineering techniques to improve prompt‑based model performance and NLQ accuracy, utilizing libraries such as LangGraph.\n, • Develop and maintain tools and frameworks for prompt‑based agent evaluation, monitoring, and optimization at enterprise scale, with emphasis on NLQ workflows and orchestration.\n, • Build and maintain data pipelines and processing workflows for scalable, efficient consumption and querying of structured and unstructured data via natural language interfaces.\n, • Write secure, high‑quality production code and conduct code reviews.\n, • Partner with Data Science, Product, and Business teams to identify requirements and develop NLQ‑enabled solutions.\n, • Communicate technical concepts and results to both technical and non‑technical stakeholders, including senior leadership.\n, • Provide technical leadership, mentorship, and guidance to junior engineers, promoting a culture of excellence and continuous learning.\n Required qualifications, capabilities, and skills\n \n, • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.\n, • Experience in data science and natural language querying, including experience deploying end‑to‑end pipelines on AWS.\n, • Strong proficiency in Python.\n, • Hands‑on experience in system design, application development, testing, and operational stability.\n, • Experience using LangGraph for multi‑agent orchestration and NLQ integration.\n, • Experience with AWS and infrastructure‑as‑code tools such as Terraform.\n Preferred qualifications, capabilities, and skills\n \n, • Strategic thinker with the ability to drive technical vision for business impact.\n, • Experience with agentic telemetry, evaluation services, and orchestration of NLQ workflows.\n, • Demonstrated leadership working with engineers, data scientists, and AI practitioners.\n, • Familiarity with MLOps practices and AI pipelines.\n, • Hands‑on experience building and maintaining user interfaces for NLQ and data exploration.\n \n 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. \n #J-18808-Ljbffr

\n Spire Global is a space-powered data and analytics platform that offers unique insights and powerful solutions about Earth from the ultimate you can act now and plan for the future with confidence, accuracy and speed. Leveraging its proprietary multi-purpose satellite constellation and sophisticated predictive analytics, Spire gives commercial and government organizations an unprecedented competitive advantage to solve their toughest challenges, empowered with knowledge from space. \n Spire Global is currently embarking on projects that range from the design of advanced satellite communication and navigation systems to RF monitoring constellations. \n As part of the development of next-generation proprietary communication system, we are seeking a Senior RF Engineer with expertise in RF systems design, RF transceiver, low noise and power amplifier design, antenna arrays, and a solid background in space-based communications, navigation or RF monitoring systems. The ideal candidate will have hands‑on experience in high-frequency, high-power RF systems, ultra-sensitive receiver systems, with strong simulation and analytical skills. The candidate will work on designing, analysing, and optimizing advanced RF subsystems for satellite and aerospace applications. The candidate should have strong analytical and problem‑solving skills and be able to navigate in a fast‑changing dynamic and innovative environment. Key Responsibilities\n \n • Contribute proactively to the design and development of RF subsystems for our next generation of satellite communication, navigation or RF monitoring systems\n, • Component selection and circuit level design using PCB software (Altium preferred), along with simulation (CST, ADS preferred) where required; including transceivers for UHF, S-, X- and Ka-bands.\n, • Management of RF modules through production & test\n, • RF module test and fault‑find at bench level, environmental level (EMC and thermal vacuum testing) and spacecraft level\n, • Lead RF testing, validation, and space qualification efforts for new and existing systems\n, • Develop test plans, and operational procedures\n, • Provide technical consultancy support to software engineering, payloads, satellite operations, and manufacturing teams\n Qualifications/Experience\n \n, • BSc, MSc or Ph.D. degree in Telecommunications, Microwave or RF Electronics Engineering\n, • 5+ years of working experience on design, development and testing of RF systems\n, • Hands‑on RF simulation, design and manufacturing experience and fault‑finding during test\n, • PCB schematic capture and layout for RF circuits\n, • Experience with laboratory or field RF testing with relevant technical equipment such as Network Analyzer, Signal Analyzer and Signal Generator\n, • Measuring performance of passive and active circuits to provide data that backs up system requirements, including phase noise, compression points, associated chain losses and signal analysis\n, • Tuning of RF circuits to achieve optimal performance\n, • Proficient in simulation tools (ADS, CST, HFSS, MATLAB)\n, • Proven track record of promoting cooperation and teamwork\n, • Demonstration of problem‑solving skills and solution‑oriented approaches when dealing with challenges\n, • Flexibility to shifting priorities and operational requirements\n, • Attention to detail, highly organized with clear communication skills\n, • Proficiency in scripting languages and testing tools (Python preferred)\n Desired skills\n \n, • Strong background in high-frequency RF systems (e.g., Ku-band, Ka-band)\n, • End‑to‑end RF system analysis, simulation, and optimization\n, • Knowledge of frequency spectrum management\n, • Knowledge of state‑of‑the‑art RF analog and high‑speed digital signal processing techniques and technologies using Xilinx/AMD MPSoC/RFSoC.\n, • Passive and active antenna design, and antenna measurement techniques\n, • Experience of power supply design and EMI mitigation techniques\n, • Experience of digital circuit design including microcontroller, FPGA and high‑speed transceivers\n \n Spire operates a hybrid work model, and this position will require you to work a minimum of three days per week in the office. \n Access to US export‑controlled software and/or technology may be required for this role. If needed, Spire will arrange the necessary licenses—this is not something candidates need to have before applying. Global Perks\n \n • Name Your Satellite Program (NYSP)\n, • Launch Attendance\n, • Generous Time Off Policy\n, • Education Assistance Program\n, • Employee Assistance Program (EAP)\n, • Employee Stock Purchase Program (ESPP)\n, • Family Leave\n, • Fitness Reimbursement\n, • Employee Referral Program\n, • Healthy snacks & beverages in every office\n \n Spire is a global company committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or veteran status. \n All candidates who receive a conditional offer will be required to complete a background check. This may include criminal history and employment verification. \n #J-18808-Ljbffr

\n As a Lead Software Engineer at JPMorgan Chase within Markets Technology team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market‑leading technology products in a secure, stable, and scalable way. Job Responsibilities\n \n • Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems\n, • Develops secure and high‑quality production code, and reviews and debugs code written by others\n, • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems\n, • Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes‑oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture\n, • Leads communities of practice across Software Engineering to drive awareness and use of new and leading‑edge technologies\n, • Adds to team culture of diversity, opportunity, inclusion, and respect\n Required qualifications, capabilities, and skills\n \n, • Formal training or certification on software engineering concepts and applied experience\n, • Hands‑on practical experience delivering system design, application development, testing, and operational stability\n, • Advanced in one or more programming language(s) Python\n, • Strong analytical and problem solving skills\n, • Solid technology background with experience in object oriented programming\n, • Proficiency in automation and continuous delivery methods\n, • Proficient in all aspects of the Software Development Life Cycle\n, • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security\n, • Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)\n, • In‑depth knowledge of the financial services industry and their IT systems\n, • Practical cloud native experience\n Preferred qualifications, capabilities, and skills\n \n, • Knowledge of AWS Data Source\n, • Knowledge of Python language\n, • Experience with SecDB / Athena / Quartz platform\n, • Macro Trading Business knowledge\n, • In‑depth knowledge of the financial services industry and their IT systems\n, • Preferred UI Skills – Reactjs, Nodejs, Microservices\n \n 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. \n #J-18808-Ljbffr

\n Key Skills:\n \n • Familiarity with Linux, including Bash scripting and basic system administration\n, • Familiarity with Javascript development and at least one Javascript framework\n, • Experience writing web backend\n, • Proficiency using and developing containers for development and production\n, • Experience with Typescript and React\n, • Experience implementing monitoring and alerting system using systems like Grafana, Prometheus, or Nagios\n, • Experience with Infrastructure as Code tools such as Terraform and Ansible\n, • Familiarity with Python data visualization libraries\n \n Spire operates a... \n #J-18808-Ljbffr

Role Title: SQL Server lead \n Location: Glasgow/ 2-3 days a week onsite \n Duration: 31/12/2026 \n \n Role Description: \n Overall purpose of role \n\n • Senior SQL Server developer with experience in programming, design and integration of data warehouse and data distribution platforms\n, • Designs, builds and optimises T-SQL code (stored procedures, functions, views) and data models to produce trusted security/risk reporting and records-management-aligned datasets\n, • Engineers resilient batch and near-real-time data processing, with strong data profiling, root-cause analysis and incident/problem management.\n, • Owns performance tuning and capacity considerations for SOL Server workloads (query plans, indexing strategy, partitioning, statistics, IO/CPU optimisation) to meet SLAs.\n, • Works with engineers, analysts and control owners to translate security, risk and records-management requirements into robust schemas, data quality rules, lineage and reconciliations; ensures solutions are testable, supportable and compliant.\n, • Leads by example through peer reviews, coding standards, release discipline and mentoring; proactively manages delivery risks and dependencies across data platform, security, risk and governance stakeholders.\n\n \n Key Accountabilities \n\n • Owns end-to-end delivery of SQL Server components for security, risk, control and records-management use cases: requirements capture, technical design, build, code review, deployment and documentation, aligned to agreed engineering standards.\n, • Implements robust testing and quality controls (e.g.. TSQLT/unit tests, data quality checks, reconciliations) and supports SIT/UAT/release cycles.\n, • Ensures database solutions meet security and records-management requirements (classification, retention, access controls, segregation of duties, logging/audit trails), partnering with risk and platform governance as required.\n, • Designs and evolves data models and physical schemas that support security metrics, control monitoring and MI, with clear lineage and interfaces to upstream/downstream data products.\n, • Provides operational support for production services (monitoring, incident triage, problem management, remediation and performance optimisation) and drives continuous improvement through automation and\n\n \n Person Specification \n\n • The role holder must be a strong computer scientist with a good appreciation of the fundamental principles of relational database technology\n, • The role holder must have strong time management skills and be able to juggle and complex and demanding workload\n, • The candidate will be educated to degree level or above, preferably in computer science or a closely related discipline.\n, • The role holder will have an excellent command of English language with strong written and verbal communications to deliver against our commitment to providing a world class service and drive our dedication to the client experience.\n\n \n Essential Skills/Basic Qualifications: \n\n • Expert T-SQL development (complex query design, stored procedures/functions, set-based approaches) with strong code quality and review discipline.\n, • Strong SQL Server performance engineering (execution plans, indexing, partitioning, temedh, concurrency) and ability to diagnose production issues under pressure.\n, • Testing mindset and automation: SQLT (or equivalent), data quality assertions, and ability to produce repeatable evidence for security/risk/control reporting\n, • Good understanding of secure database development and data controls (access management, auditing, sensitive data handling) and confidence engaging with security and risk stakeholders.\n\n \n Desirable skills/Preferred Qualifications \n\n • Source control and branching strategies (Git/GitLab), pull requests, and code review standards.\n, • CICD tooling (e.g. GitLab) and release automation for database deployments.\n, • Artefact/repository management (e.g., Nexus) and dependency/version control.\n, • Scripting/automation (e.g., PowerShell and Linux shell scripting, plus Python where needed) and familiarity with server scheduling/orchestration patterns.\n, • Data governance/records management awareness (retention and evidencing) and how these apply to data products and reporting\n, • Working knowledge of Java and/or Scala particularly where used alongside Spark-based data processing.\n, • Stakeholder Management and Leadership\n, • Key stakeholders within the team are the Lead Product Owner, Data Andlysts, PM/scrum masters and Technical Leads.\n, • Key stakeholders external to the team are the Wealth Enterprise Architects and BAs and architects on other platform or project teams that interface to PBTV.\n\n \n Risk and Control Obiective \n\n • Ensure that all activities and duties are carried out in full compliance with regulatory requirements, Enterprise Wide Risk Management Framework and internal Policies and Policy Standards.\n\n

\n Engineering Glasgow / Remote Consultant Contract \n We are looking for a talented and driven Senior Fullstack Backend Engineer to join our growing engineering team. In this role, you will design and build robust backend API services, integrate them with existing applications and tools, and contribute to shaping the overall system architecture. You will collaborate closely with cross‑functional teams following Agile practices, delivering scalable and maintainable solutions that power our AI‑driven products and client deployments. Key Responsibilities\n \n • Design, build, and maintain high‑performance backend API services using Python, FastAPI, and Pandas.\n, • Develop clean, well‑documented RESTful and asynchronous APIs following best practices.\n, • Ensure APIs are scalable, secure, and optimized for performance in production environments.\n Integration with Applications & Tools\n \n, • Integrate backend services with existing internal and client‑facing applications and third‑party tools.\n, • Work with message brokers (RabbitMQ) to design event‑driven and asynchronous integration patterns.\n, • Collaborate with stakeholders to ensure seamless data flow across interconnected systems.\n, • Design, develop, and maintain background ETL processes for data ingestion, transformation, and loading.\n, • Build and optimize data pipelines that support analytics, reporting, and operational workflows.\n, • Ensure data integrity, reliability, and traceability across all pipeline stages.\n, • Contribute to and lead discussions on system architecture, ensuring solutions are robust, scalable, and maintainable.\n, • Define technical standards and patterns for backend services across the engineering team.\n, • Evaluate and recommend cloud infrastructure components on Azure and GCP to support platform needs.\n, • Manage and optimize relational data models using PostgreSQL.\n, • Deploy and manage backend services on cloud platforms, preferably Azure and/or GCP.\n, • Collaborate with DevOps/MLOps engineers on CI/CD pipelines, containerization, and deployment strategies.\n, • Monitor service health and performance, proactively addressing bottlenecks and reliability issues.\n, • Work within an Agile/Scrum team, participating in sprint planning, daily stand‑ups, and retrospectives.\n, • Be an active team player, supporting peers through code reviews, knowledge sharing, and pair programming.\n, • Communicate technical decisions clearly to both technical and non‑technical stakeholders.\n Education & Experience\n \n, • Bachelor's degree in Computer Science, Software Engineering, or a related field.\n, • 5+ years of professional experience in backend or fullstack software development.\n, • Proven experience delivering production‑grade backend systems at scale.\n Core Technical Skills\n \n, • Strong proficiency in Python as a primary backend language.\n, • Hands‑on experience with FastAPI and Pandas for building data‑driven API services.\n, • Solid experience with PostgreSQL – schema design, query optimization, and migrations.\n, • Experience with RabbitMQ or similar message brokers for asynchronous processing.\n, • Practical experience with cloud services, preferably Microsoft Azure and/or GCP.\n, • Demonstrated expertise in designing and implementing ETL pipelines and background processes.\n, • Strong understanding of system architecture principles – microservices, event‑driven design, and API gateways.\n Soft Skills\n \n, • Strong team player with excellent collaboration and interpersonal skills.\n, • Effective communicator, able to articulate complex technical concepts clearly.\n, • Self‑motivated, detail‑oriented, and capable of managing multiple priorities.\n, • Passion for writing clean, maintainable, and well‑tested code.\n Preferred Qualifications\n \n, • Frontend experience using React is a plus.\n, • Knowledge of SAP systems and integration patterns is advantageous.\n, • Familiarity with LLMs and AI/ML integration patterns is a plus but not mandatory.\n, • Experience working in cross‑functional, remote, or distributed engineering teams.\n, • Exposure to containerization of Applications (Docker, Kubernetes).\n What We Offer\n \n, • Competitive consultancy fee commensurate with experience.\n, • Collaborative and growth‑oriented work environment.\n, • Continuous learning opportunities and access to cutting‑edge AI technologies.\n \n If this sounds like you, we'd love to hear from you. \n Join the enterprises scaling their autonomous workflows with Kodamai's next‑generation framework. \n #J-18808-Ljbffr

\n Step into the role of a Principal Architect at JPMorganChase and become a driving force behind the development and adoption of cutting-edge technologies. \n As a Principal Architect at JPMorganChase within Prime Finance, you will focus on Technical Architecture, Agentic AI & Messaging Technologies and use this senior leadership role to promote the architectural vision, design, and implementation of complex, scalable, and secure technology solutions. This requires emphasis on advanced Agentic AI systems, expertise in message-based technologies (e.g., Kafka, AMPS), strong management skills to coordinate across global regions and multiple applications. Deep proficiency across multiple technologies including Java and Python, along with ability to work with both relational and NoSQL databases, including AWS equivalents, will be key in delivering best in class outcomes. Job Responsibilities\n \n • Architectural leadership: Define and evolve enterprise architecture standards, patterns, and best practices.\n, • Strategy & vision: Partner with senior stakeholders to shape technology and AI strategy aligned to business goals and scalability.\n, • Agentic AI integration: Architect and implement autonomous AI workflows that can act, decide, and adapt in changing environments.\n, • Solution design: Lead design/review of mission-critical platforms (message-based, data-centric and growing AI approach) for security, robustness, and scale.\n, • Messaging technologies: Design and optimize high-throughput, low-latency messaging (e.g., Kafka, AMPS) for reliable distributed communication.\n, • Database architecture: Architect relational and NoSQL data stores (e.g., Oracle/RDS, MongoDB/DynamoDB) for integrity, performance, and growth.\n, • Technical oversight: Guide teams on architectural adoption, engineering excellence, and code quality across core languages and platforms.\n, • Governance: Establish documentation, review processes, and compliance controls for AI, messaging, and data systems.\n, • Risk management: Identify and mitigate technical and AI risks; build resilient and reliable systems.\n, • Global coordination & collaboration: Align product, business, and operations across regions to translate requirements into deliverable solutions.\n, • Portfolio, stakeholders & change: Drive application harmonization/integration, manage stakeholder alignment, and champion adoption of standards across geographies.\n Required Qualifications, Capabilities, and Skills\n \n, • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.\n, • Applied experience in software engineering, with recent experience in a technical architecture leadership role.\n, • Proven track record of designing and delivering large-scale, distributed systems in a complex enterprise environment.\n, • Deep expertise in architectural frameworks, cloud platforms (AWS, Azure, GCP), microservices, APIs, and security.\n, • Strong understanding of DevOps, CI/CD, and modern software development methodologies.\n, • Demonstrated experience with Agentic AI systems, autonomous agents, and advanced machine learning frameworks.\n, • Extensive hands-on experience with message-based technologies such as Apache Kafka and AMPS, including design, deployment, and optimization.\n, • Advanced proficiency in Java and Python, including architectural design, development, and code review in both languages.\n, • Strong experience with relational databases (e.g., Oracle, Amazon RDS) and NoSQL databases (e.g., MongoDB, AWS DynamoDB), including schema design, performance tuning, and data modeling.\n, • Experience managing and coordinating technology initiatives across multiple regions and applications.\n, • Expertise with data architecture and event driven architecture. Excellent communication, stakeholder management, and leadership skills.\n Preferred Qualifications, Capabilities, and Skills\n \n, • Expertise with the Prime Finance or Securities Lending business domain\n, • Experience with regulatory and compliance requirements in financial services\n, • UI experience in React JS\n \n #J-18808-Ljbffr

\n Spire Global is a space-powered data and analytics platform that offers unique insights and powerful solutions about Earth from the ultimate you can act now and plan for the future with confidence, accuracy and speed. Leveraging its proprietary multi-purpose satellite constellation and sophisticated predictive analytics, Spire gives commercial and government organizations an unprecedented competitive advantage to solve their toughest challenges, empowered with knowledge from space. \n Spire Global is currently embarking on projects that range from the design of advanced satellite communication and navigation systems to RF monitoring constellations. \n As part of the development of next-generation proprietary communication system, we are seeking a Senior RF Engineer with expertise in RF systems design, RF transceiver, low noise and power amplifier design, antenna arrays, and a solid background in space-based communications, navigation or RF monitoring systems. The ideal candidate will have hands‑on experience in high-frequency, high-power RF systems, ultra-sensitive receiver systems, with strong simulation and analytical skills. The candidate will work on designing, analysing, and optimizing advanced RF subsystems for satellite and aerospace applications. The candidate should have strong analytical and problem‑solving skills and be able to navigate in a fast‑changing dynamic and innovative environment. Key Responsibilities\n \n • Contribute proactively to the design and development of RF subsystems for our next generation of satellite communication, navigation or RF monitoring systems\n, • Component selection and circuit level design using PCB software (Altium preferred), along with simulation (CST, ADS preferred) where required; including transceivers for UHF, S-, X- and Ka-bands.\n, • Management of RF modules through production & test\n, • RF module test and fault‑find at bench level, environmental level (EMC and thermal vacuum testing) and spacecraft level\n, • Lead RF testing, validation, and space qualification efforts for new and existing systems\n, • Develop test plans, and operational procedures\n, • Provide technical consultancy support to software engineering, payloads, satellite operations, and manufacturing teams\n Qualifications/Experience\n \n, • BSc, MSc or Ph.D. degree in Telecommunications, Microwave or RF Electronics Engineering\n, • 5+ years of working experience on design, development and testing of RF systems\n, • Hands‑on RF simulation, design and manufacturing experience and fault‑finding during test\n, • PCB schematic capture and layout for RF circuits\n, • Experience with laboratory or field RF testing with relevant technical equipment such as Network Analyzer, Signal Analyzer and Signal Generator\n, • Measuring performance of passive and active circuits to provide data that backs up system requirements, including phase noise, compression points, associated chain losses and signal analysis\n, • Tuning of RF circuits to achieve optimal performance\n, • Proficient in simulation tools (ADS, CST, HFSS, MATLAB)\n, • Proven track record of promoting cooperation and teamwork\n, • Demonstration of problem‑solving skills and solution‑oriented approaches when dealing with challenges\n, • Flexibility to shifting priorities and operational requirements\n, • Attention to detail, highly organized with clear communication skills\n, • Proficiency in scripting languages and testing tools (Python preferred)\n Desired skills\n \n, • Strong background in high-frequency RF systems (e.g., Ku-band, Ka-band)\n, • End‑to‑end RF system analysis, simulation, and optimization\n, • Knowledge of frequency spectrum management\n, • Knowledge of state‑of‑the‑art RF analog and high‑speed digital signal processing techniques and technologies using Xilinx/AMD MPSoC/RFSoC.\n, • Passive and active antenna design, and antenna measurement techniques\n, • Experience of power supply design and EMI mitigation techniques\n, • Experience of digital circuit design including microcontroller, FPGA and high‑speed transceivers\n \n Spire operates a hybrid work model, and this position will require you to work a minimum of three days per week in the office. \n Access to US export‑controlled software and/or technology may be required for this role. If needed, Spire will arrange the necessary licenses—this is not something candidates need to have before applying. Global Perks\n \n • Name Your Satellite Program (NYSP)\n, • Launch Attendance\n, • Generous Time Off Policy\n, • Education Assistance Program\n, • Employee Assistance Program (EAP)\n, • Employee Stock Purchase Program (ESPP)\n, • Family Leave\n, • Fitness Reimbursement\n, • Employee Referral Program\n, • Healthy snacks & beverages in every office\n \n Spire is a global company committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or veteran status. \n All candidates who receive a conditional offer will be required to complete a background check. This may include criminal history and employment verification. \n #J-18808-Ljbffr

\n Overview\n We are seeking an experienced Embedded Software Engineer to join our Platform team supporting Spacecraft Operations. The successful candidate will play a crucial role in supporting other disciplines by focusing on the embedded software aspects of our satellite systems. The Platform team interfaces directly with many engineering groups to conduct R&D, design, manufacturing, and operations activities, ultimately ensuring all current and future spacecraft systems satisfy their mission. \n Ideal candidates will embrace the commercialization of nanosatellite systems and adapt to low-cost, fast-paced systems design, development, and implementation methodologies that set Spire apart from our competition. In this fast-paced environment, the design to launch cycle is measured in weeks and months, not years! Responsibilities\n \n • Design, implement and test, deploy and maintain embedded firmware\n, • Collaborate with other engineering functions on scoping, architecture and system design\n, • Resolve on-orbit and on-ground issues related to embedded systems\n, • Implement, optimize and maintain various serial protocols\n, • Design and develop interface tools to improve abstraction between the embedded system and other satellite components\n, • Debug and resolve complex embedded systems issues in a timely manner\n, • Write and maintain technical documentation\n Key Skills\n \n, • Bachelor's degree in Computer Science, Electrical Engineering, or related field\n, • Mastery of Embedded C programming language\n, • Proficiency with scripting languages like Python and Bash\n, • Extensive experience with real-time operating systems (RTOS), specifically FreeRTOS\n, • Familiarity with serial protocols and implementations\n, • Strong problem-solving skills, particularly in debugging embedded systems\n, • Experience with version control systems (e.g., Git)\n, • Experience developing on Linux (Ubuntu)\n, • A base level of mathematical knowledge (engineering mathematics or similar)\n, • Excellent communication and teamwork abilities\n Preferred Skills\n \n, • Experience with space systems or satellite technology\n, • Familiarity working to coding standards and using static analysis tools\n, • Experience writing Rust for resource constrained environments (embedded Linux)\n, • Experience with embedded Linux\n, • Knowledge of control systems and algorithms\n Tools and Technologies\n \n, • FreeRTOS for real-time operating system implementation\n, • GNU ARM Embedded Toolchain for code compilation\n, • GDB for debugging, complemented by extensive use of serial and/or CAN debugging\n, • Experience with debugging techniques for systems without JTAG access, particularly for remote issue resolution\n, • Familiarity with manual testing procedures for embedded interface code\n, • Experience working with Arm Cortex Microcontrollers\n, • Version control using Git\n \n Spire operates a hybrid work model, and this position will require you to work a minimum of three days per week in the office. \n Access to US export-controlled software and/or technology may be required for this role. If needed, Spire will arrange the necessary licenses—this is not something candidates need to have before applying. #LI-RK1 Global Perks\n 🛰️ Name Your Satellite Program (NYSP) \n 🚀 Launch Attendance \n 🌴 Generous Time Off Policy \n 🎓 Education Assistance Program \n 🥰 Employee Assistance Program (EAP) \n 📈 Employee Stock Purchase Program (ESPP) \n 👣 Family Leave \n 💪 Fitness Reimbursement \n 🧡 Employee Referral Program \n 🍉 Healthy snacks & beverages in every office About Spire\n We improve life on Earth with data from space. \n Spire Global is a space-to-cloud analytics company that owns and operates the largest multi-purpose constellation of satellites. Its proprietary data and algorithms provide the most advanced maritime, aviation, and weather tracking in the world. In addition to its constellation, Spire’s data infrastructure includes a global ground station network and 24/7 operations that provide real-time global coverage of every point on Earth. \n Spire is Global and our success draws upon the diverse viewpoints, skills and experiences of our employees. We are proud to be an equal opportunity employer and are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or veteran status. \n To help maintain a safe and secure workplace for Spire employees, all candidates who receive a conditional offer will complete a background check. This may include criminal history and employment verification. \n Please take a moment to review Spire's Global Data Privacy Notice for Employees, Contractors, Candidates and Visitors, as well as Spire's Privacy Policy. \n Kindly be advised that communication regarding your application may come from @spire.com, @recruiting.spire.com, or from Candidate.fyi (our scheduling tool). \n #J-18808-Ljbffr

\n Responsibilities\n \n • To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues.\n, • Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools.\n, • Ensuring that code is scalable, maintainable, and optimized for performance.\n, • Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives.\n, • Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing.\n, • Stay informed of industry technology trends and innovations and actively contribute to the organization’s technology communities to foster a culture of technical excellence and growth.\n, • Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions.\n, • Implementation of effective unit testing practices to ensure proper code design, readability, and reliability.\n Requirements\n \n, • Good SRE experience with experience implementing reliability practices, defining SLOs/error budgets, uptime and supporting incident response for multi-layered distributed systems.\n, • Proficient in cross region cloud platforms (AWS/Azure/GCP), observability tools (Prometheus, CloudWatch), and automation frameworks with experience of reducing toil.\n, • Solid infrastructure as code skills (Terraform, CloudFormation) with experience building self-service platforms, tooling, and deployment pipelines for engineering teams.\n, • Demonstrated ability in capacity planning, performance tuning, and cost optimisation with experience managing production systems at significant scale.\n, • Experience in observability and monitoring, metrics collection, logging, distributed tracing and dashboard creation.\n, • Security experience including encryption, secrets management, authentication and authorisation standards including OAuth, SAML and API Key Management.\n, • Programming and/or scripting experience with Python for automation and monitoring.\n, • Experience with modern testing approaches including chaos and performance testing.\n, • Understanding of Large Language Models and Agentic frameworks.\n, • Self-starter with leadership experience mentoring SREs, running post-mortems, and driving reliability improvements across engineering teams with good collaboration skills.\n, • Bachelor’s degree in computer science or related field with depth in systems engineering, networking, and distributed systems design.\n \n #J-18808-Ljbffr

\n We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. \n As a Lead Software Engineer at JPMorgan Chase within the Core Foundational Platforms team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market‑leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. Job responsibilities\n \n • Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems\n, • Develops secure high‑quality production code, and reviews and debugs code written by others\n, • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems\n, • Sets strategy and operating standards for agentic AI‑enabled engineering across a portfolio (using enterprise‑authorized tools within the work environment) to drive measurable improvements in delivery speed, reliability, and code quality (e.g., AI‑orchestrated SDLC/TLM automation, release readiness gating, incident triage/root‑cause acceleration, and large‑scale refactoring/test modernization), while defining guardrails for validation, security, resiliency, and reuse across teams and functions.\n, • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise‑authorized AI‑assisted development and automation capabilities, to improve the value realized by automation at scale.\n, • Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes‑oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture\n, • Leads communities of practice across Software Engineering to drive awareness and use of new and leading‑edge technologies\n, • Adds to team culture of diversity and opportunity.\n Required qualifications, capabilities, and skills\n \n, • Formal training or certification on software engineering concepts and 5+ years applied experience\n, • Hands‑on practical experience delivering system design, application development, testing, and operational stability\n, • Advanced in one or more programming language(s) ideally including one of Go, Python, React, Java,\n, • Proficiency in Terraform, Ansible or other automation and continuous delivery methods.\n, • Proficient in all aspects of the Software Development Life Cycle\n, • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security\n, • Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)\n, • In‑depth knowledge of the financial services industry and their IT systems\n, • Demonstrated experience designing and scaling agentic AI‑enabled development patterns (using enterprise‑authorized tools within the work environment) across teams/functions, including establishing governance for human‑in‑the‑loop validation, traceability/auditability, and secure handling of sensitive inputs/outputs.\n, • Strong understanding of responsible AI use and control expectations at scale, including security/resiliency implications, data sensitivity, and risk‑based governance; ability to advise senior leaders on safe adoption, reuse, and measurable outcomes.\n, • Practical cloud native experience\n Preferred qualifications, capabilities, and skills\n \n, • Experience in Infrastructure Architecture designs\n, • Experience in AWS EKS, GCP GKE ecosystems a plus\n, • Knowledge of industry‑wide technology trends and best practices\n, • Knowledge of multiple Cloud Platforms\n, • Proficiency in database technology such as Oracle / MS SQL / Cockroach\n \n #J-18808-Ljbffr

\n Location: UK (Glasgow or Remote, with regular travel to Glasgow HQ)\n At IES, we value People, Purpose and Innovation. We offer a flexible and supportive working environment and the opportunity to work with a team of friendly, interesting and diverse people from across the globe who are passionate about what we do. \n For over 30 years, we have built a solid reputation as the leading global innovator in integrated performance-based analysis and are now home to the most advanced building physics analytics team in the world. Our software solutions and expert consultancy services empower designers, engineers, building owners and operators to deliver more efficient, resilient and sustainable buildings through design, retrofit and operation. The Role\n We are seeking an experienced and forward-thinking Head of IT, DevOps & AI to lead the evolution of IES’s global technology estate. This is a senior leadership role combining enterprise IT, modern DevOps practice, cloud transformation and emerging AI capabilities. \n You will define and deliver technology strategy, modernise infrastructure and platforms, mature DevOps practices, and embed AI as a core enabler across the organisation. \n The role will play a critical part in transitioning IES away from traditional on-premise infrastructure, establishing a fully cloud-based, secure and scalable environment, and supporting our ambition to become an AI-first organisation. What You’ll Do\n \n • Define and execute an integrated IT, DevOps and AI strategy aligned to IES’s business objectives\n, • Lead the transition from legacy data centre infrastructure to a modern, multi-cloud environment\n, • Own and develop enterprise-wide AI strategy, including governance, compliance and responsible AI practices\n, • Lead global IT operations, including ITSM, service desk, resilience, disaster recovery and monitoring\n, • Embed DevOps best practice across engineering teams, championing automation, CI/CD and cloud-native delivery\n, • Oversee architecture and platforms across infrastructure, cloud, networks and AI systems\n, • Ensure cyber security, risk management and secure-by-design principles are embedded across all services\n, • Build, lead and develop high-performing teams across IT, DevOps, Cloud and AI\n, • Partner closely with Product, Engineering and senior leadership to influence and deliver technology direction\n, • Manage key vendors, budgets and FinOps practices to ensure commercial and operational efficiency\n Skills & Experience\n \n, • Senior leadership experience (C-suite -1 level) across IT, DevOps, Cloud and AI\n, • Strong experience leading large-scale cloud migrations and operating multi-cloud environments\n, • Deep expertise in DevOps practices including CI/CD, infrastructure automation and cloud-native architectures\n, • Proficiency in Azure DevOps with experience migrating to GitHub\n, • Strong scripting and automation experience (Python, Bash, Terraform)\n, • Solid background in Linux administration, containerisation and orchestration technologies\n, • Proven experience leading cyber security, risk management and compliance (including ISO standards and Cyber Essentials Plus)\n, • Experience establishing and governing AI platforms, data engineering foundations and AI tooling at scale\n, • Excellent stakeholder management and communication skills, with the ability to influence at senior levels\n Nice to Have\n \n, • Experience operating in highly regulated or security-conscious environments\n, • Exposure to AI observability, explainability and responsible AI tooling\n, • Experience supporting predominantly remote or hybrid workforces at scale\n, • Background working within software, technology or climate tech organisations\n Why Join Us\n \n, • Lead a critical technology transformation at a globally respected climate tech organisation\n, • Shape how AI, cloud and DevOps capabilities are embedded across the business\n, • Work alongside world-class experts across software, engineering and consultancy\n, • High-impact leadership role with strategic visibility and autonomy\n, • Values-driven organisation with a strong sense of purpose\n, • Competitive salary, benefits and flexible working options\n Our Commitment to Inclusion\n IES is committed to an inclusive workplace and welcomes applications from all backgrounds, even if you don’t meet every requirement listed. We can provide reasonable adjustments throughout the recruitment process, for example, sharing interview questions in advance, allowing breaks between stages, or offering extra time where needed. \n If you require support at any point, please contact the IES HR team at careers@iesve.com or +44 141 945 8500. \n To apply for the role please send a covering letter stating the skills you have fromthe requirements listed and an up to date CV to: \n Early application is encouraged and IES reserves the right to close this vacancyearly should sufficient applications be received. \n #J-18808-Ljbffr

\n Key Skills:\n \n • Familiarity with Linux, including Bash scripting and basic system administration\n, • Familiarity with Javascript development and at least one Javascript framework\n, • Experience writing web backend\n, • Proficiency using and developing containers for development and production\n, • Experience with Typescript and React\n, • Experience implementing monitoring and alerting system using systems like Grafana, Prometheus, or Nagios\n, • Experience with Infrastructure as Code tools such as Terraform and Ansible\n, • Familiarity with Python data visualization libraries\n \n Spire operates a... \n #J-18808-Ljbffr

\n The candidate must excel in working in a highly collaborative environment together with the business stakeholders, technologists, and control partners to deploy solutions into production. A strong passion for machine learning is essential, along with a commitment to continuous learning, research, and experimentation with new innovations in the field. Candidates should possess a solid understanding of modern NLP and/or financial knowledge, hands‑on implementation experience, strong analytical thinking, and a keen interest in applying advanced analytics to solve complex problems in finance and asset management. Job Responsibilities\n \n • Design and implement agentic AI workflows that automate and streamline complex business processes.\n, • Design and apply advanced techniques such as semantic search, retrieval‑augmented generation (RAG), named entity recognition (NER), prompt engineering, and personalization for content extraction, search, question answering, reasoning, and recommendation.\n, • Develop LLM, NLP, and ML solutions that address client requirements and drive business transformation.\n, • Work closely with partner teams—including Business, Technology, Product Management, Strategy, and Business Management—to deploy and scale developed models in production environments.\n, • Build comprehensive testing setups to evaluate model performance and ensure efficacy and reliability.\n, • Communicate results effectively to business stakeholders through written reports, visualizations, and presentations.\n, • Stay current with the latest research in LLM, agentic AI, ML, and data science, and proactively identify and leverage emerging techniques to drive ongoing enhancement.\n Qualifications, Capabilities, and Skills\n \n, • Proven experience applying NLP, LLM, and ML techniques to solve high-impact business problems.\n, • Demonstrated intellectual curiosity and a passion for staying current with the latest advancements in AI, LLMs, agentic AI frameworks, and data science.\n, • Proficiency in programming languages such as Python and familiarity with machine learning libraries and frameworks.\n, • Excellent communication skills and ability to work collaboratively in a fast-paced, dynamic environment.\n, • Prior experience in financial services or asset management is desirable, along with a strong interest in applying AI to the financial domain.\n Company\n J.P. MORGAN Level of experience (years)\n Senior (5+ years of experience) \n #J-18808-Ljbffr

\n SC Cleared Data Scientist - Contract\n Glasgow (Hybrid - 1 day per week onsite) \n £650-£750 per day (Inside IR35) \n Contract until September \n Morgan Hunt are working with a high-profile public sector organisation who require an SC Cleared Data Scientist to support a key programme of work through to September. \n This is an excellent opportunity to contribute to a data-driven transformation programme within a secure environment, working alongside experienced data, engineering and policy teams. The Role\n You will play a key role in delivering advanced analytics and data science solutions, helping to turn complex datasets into actionable insights. \n Key responsibilities include: \n \n • Developing and deploying predictive models and statistical analysis\n, • Working with large, complex datasets to identify trends and insights\n, • Collaborating with data engineers and stakeholders to shape data solutions\n, • Supporting decision‑making through clear visualisation and communication of findings\n, • Ensuring work aligns with security and governance requirements\n Key Requirements\n \n, • Active SC Clearance (essential)\n, • Proven experience as a Data Scientist in complex or regulated environments\n, • Strong skills in Python (or similar) and data science libraries\n, • Experience with machine learning, statistical modelling and data analysis\n, • Ability to communicate technical findings to non-technical stakeholders\n, • Experience in public sector or government environments is highly desirable\n What's on Offer\n \n, • £650-£750 per day (inside IR35)\n, • Hybrid working (1 day per week onsite) in Glasgow\n, • Opportunity to work on a high‑impact, nationally significant programme\n \n Morgan Hunt is a multi-award-winning recruitment business for interim, contract and temporary recruitment and acts as an Employment Agency in relation to permanent vacancies. Morgan Hunt is an equal opportunities employer. Job suitability is assessed on merit in accordance with the individual's skills, qualifications and abilities to perform the relevant duties required in a particular role. \n #J-18808-Ljbffr

\n About the Hiring Process\n When you apply, our AI-powered matching platform considers you not only for this opportunity, but also for other relevant roles across our network, so one application can unlock multiple career opportunities. \n We only work with real companies hiring for live positions. Every opportunity on our platform is an active search. If there's a strong match, we'll guide you through the process. If not, we won't ignore you. About the Company\n Our Client is a venture-backed AI startup building a next-generation foundation model to enable fully autonomous software delivery for embedded control systems. \n This is an opportunity to join at an early stage, work directly with the founders, and help shape a technology designed to redefine how software is built, optimized, and deployed. \n Location: London, United Kingdom (Remote with monthly office visits, ideally onsite) \n \n • Employment Type: Full-time\n, • Level: Mid-Senior Level\n, • Compensation: £100,000-£150,000 + Equity (Share Options)\n, • Work Authorization: Existing UK work authorization required\n About the Role\n We're looking for a Senior Machine Learning Engineer (Foundation Models) to lead the development, optimisation, and production deployment of our next-generation foundation model. \n This is a deeply technical, hands-on role where you'll architect large-scale ML systems, optimise distributed training and inference, build GPU-accelerated infrastructure, and work directly with founders to solve complex engineering challenges. \n If you're excited by cutting-edge AI research, production-scale machine learning, and building systems that push the limits of modern deep learning, we'd love to hear from you. What You'll Do Foundation Model Development;\n \n • Lead the research, development, and deployment of large-scale foundation models\n, • Define long-term technical strategy for high-performance ML systems\n, • Build scalable training and inference infrastructure\n, • Own model quality, performance, and reliability\n ML Infrastructure & Optimisation;\n \n, • Optimise distributed training and inference pipelines\n, • Design GPU-accelerated systems, including custom CUDA kernels when needed\n, • Profile and optimise data pipelines, training loops, inference, and deployment\n, • Build internal tooling, benchmarking systems, and evaluation frameworks\n Architecture & Collaboration;\n \n, • Design scalable ML infrastructure and solution architectures\n, • Evaluate and implement state-of-the-art ML technologies\n, • Work closely with founders to translate product goals into technical roadmaps\n, • Drive engineering excellence across the ML platform\n What We’re Looking For Must Have;\n \n, • Extensive experience designing and building large-scale foundation models\n, • Strong Python and CUDA C/C++ expertise\n, • Deep knowledge of PyTorch (preferred) or another major deep learning framework\n, • Experience optimising and debugging deep learning models\n, • Experience with distributed training and large-scale inference\n, • Experience building ML systems on AWS, Azure, or GCP\n, • Strong GPU optimisation experience\n, • Experience building production ML infrastructure\n, • Excellent system design skills\n, • Delivery-focused mindset with strong ownership\n, • Comfortable solving ambiguous, high-impact problems\n, • Able to work onsite in London or visit the office at least once per month\n Nice to Have;\n \n, • Experience with Mixture of Experts (MoE) or State Space Models\n, • Custom CUDA kernel development\n, • ML systems operating under strict production SLOs\n, • Experience building internal ML tooling and benchmarking frameworks\n, • Startup or research lab experience shipping foundation models\n, • Experience scaling distributed GPU clusters\n What We Offer\n \n, • £100,000-£150,000 salary\n, • Meaningful equity (Share Options)\n, • Opportunity to build a first-of-its-kind foundation model\n, • Direct collaboration with founders\n, • No take-home assignments or live coding interviews\n, • Transparent, low-ego engineering culture\n, • High ownership and technical autonomy\n, • Office-first environment with flexibility for exceptional candidates\n \n If you want to help build the next generation of foundation models and solve some of the hardest ML problems in production, we'd love to hear from you. \n #J-18808-Ljbffr

About the Opportunity We are partnering with an innovative UK Rocket Launch Provider that is undertaking a significant investment in its digital infrastructure and operational systems. As part of this growth, we are seeking an experienced Senior Odoo Developer to take ownership of the ongoing development, optimisation, and future scalability of the company's core ERP/MRP platform. This is a unique opportunity to work within a highly specialised engineering environment where Odoo sits at the heart of business operations, supporting manufacturing, inventory management, procurement, sales, and finance functions. You will play a pivotal role in shaping the future of the platform, delivering high-impact solutions that directly influence operational efficiency and business performance. The successful candidate will join a collaborative and forward-thinking team, taking a lead role in driving technical excellence, modernisation initiatives, and long-term platform strategy. The Role As Senior Odoo Developer, you will be responsible for the architecture, development, maintenance, and enhancement of the company's Odoo ecosystem. This includes leading major version upgrades, developing bespoke functionality, integrating third-party platforms, and ensuring the system remains scalable, maintainable, and aligned with business objectives. You will work closely with stakeholders across manufacturing, operations, finance, and procurement to translate complex business requirements into robust technical solutions while maintaining alignment with Odoo best practices and upgrade paths. Key Responsibilities Lead and deliver Odoo upgrades and migrations across major versions, ensuring stability and minimal disruption to business operations. Design, develop, and maintain custom Odoo modules from concept through to deployment. Build and support integrations between Odoo and external business-critical systems. Collaborate with business stakeholders to understand requirements and deliver effective solutions. Maintain high development standards through code reviews, testing, and documentation. Optimise system performance, troubleshoot complex technical issues, and proactively identify areas for improvement. Ensure custom developments remain as close to Odoo core as possible to support future upgradeability. Produce clear technical documentation and provide regular project updates to stakeholders. Contribute to the long-term technical roadmap and strategic development of the ERP platform. What We're Looking For Essential Experience & Skills Minimum 5 years' hands-on Odoo development experience. Proven experience delivering upgrades across multiple major Odoo versions (e.g., v15 to v18 and beyond). Strong track record of developing and deploying custom Odoo modules. Deep understanding of core Odoo business applications, including: Manufacturing Inventory Purchasing Sales Accounting User Access & Security Management Advanced Python development skills, particularly within the Odoo ORM framework. Strong JavaScript/TypeScript experience, including the OWL framework. Experience working with PostgreSQL databases and Linux-based environments. Strong knowledge of REST APIs and third-party system integrations. In-depth understanding of Odoo architecture, models, views, workflows, security, and development best practices. Excellent analytical and problem-solving abilities. Strong communication and documentation skills. Eligibility to work in the United Kingdom. Why Join? This role offers the chance to work on technically challenging projects within a cutting-edge aerospace environment where your expertise will have a direct and visible impact on the business. You'll have the autonomy to influence technical decisions, contribute to long-term platform strategy, and help shape the future of a critical enterprise system. If you're passionate about Odoo development, enjoy solving complex business challenges, and want to work on projects that genuinely matter, we'd love to hear from you. Salary & Benefits Full-time permanent position Competitive salary: £40,000 – £55,000 depending on experience Opportunity to work within an innovative and growing aerospace organisation Long-term career development and progression opportunities Collaborative and supportive working environment

What are T Levels? T Levels are new courses coming in September 2020, which will follow GCSEs and will be equivalent to three A levels. These two-year courses have been developed in collaboration with employers and businesses, so that the content meets the needs of industry and prepares students for work. T Levels will offer students a mixture of classroom learning and 'on-the-job' experience during an industry placement of at least 45 days. They will provide the knowledge and experience needed to open the door into skilled employment, further study or a higher apprenticeship. The Role The T Level Examiner role is an excellent opportunity to earn some extra money in a contract role, alongside any full-time commitments you may have, whilst also developing your career in education. T-Level Examiners mark candidate responses in accordance with a pre-defined mark scheme, whilst adhering to the Code of Practice and published examination procedures. Assessments will be marked either onscreen using ePEN, which can be completed from home, or by the traditional method, using paper scripts sent through the post. A high level of contemporary subject knowledge is necessary in order to apply the mark scheme. Each examiner will receive an agreed allocation of scripts. Some national travel may be required to attend examiner training and standardisation. We have opportunities available to mark Core Paper 1: Digital Analysis, Legislation and Emerging Issues, Core Paper 2: The Business Environment and Employer Set Project. We are recruiting for below papers Digital Support and Security GEN 2 Core Exam (phone number removed) Core Exam (phone number removed) Employer Set Project- Data Infrastructure and Network Cabling 19599 Employer Set Project- Digital Support 19600 Employer Set Project- Cyber Security 19601 Responsibilities • To mark accurately and consistently to ensure overall standards are maintained. • To submit samples to your Team Leader at designated times. • To ensure milestones for marking are adhered to. • To ensure all administration is completed as specified. • To attend standardisation • To regularly mark scripts during the Summer Series and/or Autumn Series Qualifications Essential You will have a degree or equivalent work-based qualification such as a Level 5/6/7 NVQ in computing, computer science or software development or membership of a relevant professional body such as the British Computing Society (BCS) or the Chartered Institute for IT. Be fully conversant with the languages in the specification eg, Python or C based languages such as C, C#, C++, Java Desirable You will be a qualified teacher or hold an equivalent teaching qualification such as Cert Ed, C&G 7404, PTTLLS, CTLLS, DTLLS or an Assessor/Verifier award Experience Required You will hold a minimum of one year's teaching and assessment experience within the last 8 years or equivalent in computing or software development or programming or computer science at Level 3 OR You will have recent occupational experience in one of the following job or occupational titles: Computer Programmer, Software Developer, Software Engineer. Senior Software Developer. Competencies Required • You will have the ability to work well under pressure • You will have the ability to meet deadlines • You will have a high level of subject knowledge in order to apply the mark scheme Additional information If you do have teaching experience within the last 8 years, please ensure you list this under 'Occupational Experience' About Pearson Welcome to Pearson, the world's leading learning company. We have a simple mission: to help people make more of their lives through learning. We are the UK's largest awarding body and offer qualifications that are globally recognised and benchmarked, with educational excellence rooted in names like Edexcel, BTEC, EDI and LCCI. We value the power of inclusive culture and embed diversity and inclusion in everything we do. Pearson promotes a company culture where differences are embraced as strengths, opportunities are equal and accessible, consideration and respect are the norm. Through our talent, we believe that diversity and inclusion make us a more innovative and vibrant company. People are at the centre of our company. We are committed to a sustainable environment and workplace ecosystem where talent can learn, grow, and thrive

AI Engineer Placement Programme no experience neededFrom £45,000 to £75,000 per annumAI Trainee Engineer £45,000£75,000 Job ProgrammeThis is a self-funded programme that leads to employment, fees apply.Job Guarantee Complete the programme and get a job, or get your course fees back.Location: UK Wide (Remote Opportunities Available)Looking to start a career in AI Engineering?We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK.No prior experience required.Train online at your own pace and become job-ready in as little as afew weeks.Our programme includes:Official AWS Certified Cloud Practitioner certificationTraining in Python, Machine Learning, and AI systemsHands-on projects using real-world AI tools and technologiesProfessional CV and LinkedIn supportInterview preparationDedicated recruitment support until placedPersonalised 1-1 tutor supportHands-on projects to build your AI portfolioFlexible, affordable, achievableTo make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure.Salary expectations:AI Engineer: £45,000 £60,000Machine Learning Engineer: £60,000 £75,000Progression into senior AI roles with higher earning potentialWe support you into employmentWe focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles.From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role.Important:Money-back guarantee applies to candidates who complete and pass all required qualifications, meet programme requirements, and actively engage with the recruitment process. If you do not secure a role within 12 months, you will receive a refund. Full T&Cs available on request.Apply now to get started.TPBN1_UKTJ

Spacecraft Operations Engineer | Glasgow (Onsite with Hybrid Flexibility) Are you passionate about space technology and mission operations? We're looking for a Spacecraft Operations Engineer to join an innovative team delivering cutting-edge satellite missions from launch through to routine operations. You'll play a key role in spacecraft commissioning, in-orbit testing, mission planning, spacecraft health monitoring, anomaly investigation, and the continuous improvement of mission operations and automation. What you'll be doing: Lead spacecraft commissioning and in-orbit testing. Command and monitor live satellite missions. Investigate and resolve spacecraft anomalies. Develop operational procedures and automation tools. Support ground testing, mission planning and readiness activities. Collaborate with multidisciplinary engineering teams. What we're looking for: Experience in spacecraft, satellite or mission operations (or a similar aerospace environment). Strong troubleshooting and analytical skills. Python or scripting experience is highly desirable. Knowledge of ground segment systems, Earth Observation, flight dynamics or RF/DSP is an advantage. Excellent communication and technical documentation skills. If you're looking to make a real impact on the success of satellite missions and work at the forefront of the space industry, we'd love to hear from you. GCS is acting as an Employment Agency in relation to this vacancy

About the Job you are considering: An AWS Cloud Data Engineer designs, builds, and maintains scalable data architectures and pipelines using Amazon Web Services. Their primary goal is to ensure large volumes of structured and unstructured data are securely ingested, transformed, and stored so data scientists and analysts can easily access them for business decision-making Hybrid working: The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time. Your Role: • Build and maintain data models using dbt., • Write complex SQL transformations to clean and structure data., • Develop modular, reusable data pipelines., • Implement data testing and validation (e.g., schema tests, data quality checks)., • Manage data documentation and lineage within DBT., • Design and develop scalable data pipelines using Databricks and Apache Spark., • Build and optimize data workflows for batch and real-time processing., • Transform and process large datasets using PySpark, SQL, and Delta Lake., • Implement data ingestion from multiple sources (APIs, streaming, databases). Your Skills: • Python proficiency., • AWS : Cloud formation , Service Catalog , IAM , S3 , Glue , Lambda , Knowledge python sdk, boto , EKS , ECS , ECS , VPC , SUBNETS , NACLs., • Terraform : Modules , providers , terraform enterprise , Snowflake terraform provider knowledge., • Snowflake : Snow sight , Python SDK for snowflake , Stage , storage integration , Data marketplace , direct shares , listings , catalog linked database , Apache Iceberg , external tables , Catalog integrations , Snowpipe , external volume , Cortex ai ,privatelink., • Airflow : Dag creation , operators , connections , deployment on Kubernetes , Astronomer., • DBT. We are a Disability Confident Employer: Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government’s Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who: • Declare they have a disability, and, • Meet the minimum essential criteria for the role. Please opt in during the application process. Make It Real (what does it mean for you): • You’d be joining an accredited Great Place to work for Wellbeing in 2024. Employee wellbeing is vitally important to us as an organization. We see a healthy and happy workforce a critical component for us to achieve our organizational ambitions., • To help support wellbeing we have trained ‘Mental Health Champions’ across each of our business areas, and we have invested in wellbeing apps such as Thrive and Peppy., • You will be empowered to explore, innovate, and progress. You will benefit from Capgemini’s ‘learning for life’ mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard ManageMentor, Cybersecurity qualifications and much more., • You will be joining one of the World’s Most Ethical Companies®, as recognized by Ethisphere® for 13 consecutive years. We live our values by making ethical business choices every day. Working ethically is at the centre of our culture at Capgemini, meaning you will be helping to create a future we can all be proud of. Why you should consider Capgemini: Growing clients’ businesses while building a more sustainable, more inclusive future is a tough ask. When you join Capgemini, you’ll join a thriving company and become part of a collective of free-thinkers, entrepreneurs and industry experts. We find new ways technology can help us reimagine what’s possible. It’s why, together, we seek out opportunities that will transform the world’s leading businesses, and it’s how you’ll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you’ll build the skills you want. You’ll use your skills to help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but making the world a better place rarely is. About Capgemini: Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of €22.1 billion. Make it real | www.capgemini.com