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Locations: Boston London Munich Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do To realize our digital transformation, we need to transform our products, experiences, processes, technology and how we operate. We are looking for people who are passionate about Agile ways of working and want to spread this approach within our teams and business processes. To execute this transformation, we need people who take the lead in defining standards and guardrails of working and developing expertise within the portfolio. As portfolio architect you will define and design technology solutions that optimize our solutions for rapid innovation whilst also making sure we manage risks such as cyber security and operational resilience. You will act as pioneer, thought leader, problem solver, and be sought out for your expertise by product and engineering teamsIn your role you will bridge enterprise architecture and engineering and will own the design products and solutions within the Risk portfolio. Using proven BCG's DDP architecture framework to identify, own and advance the digital transformation in the portfolio. You will optimize against many requirements such as functional needs, quality attributes (e.g., security, usability), cost, sustainability, and enterprise-wide goals (e.g., cloud and API enablement,ai). You document architecture views and deliver architecture artefacts required by the delivery process and enable teams to maximize automation in the CI/CD pipeline. Moreover, you will be a hands-on participant in architecture proof of concepts, innovation initiatives, and performance tuning activities. Researching/analyzing emerging technologies, as well as designing and advocating new technologies, architectures, and products in collaboration with system and service owners is part of your profile. Same is true for identifying risks within proposed solution architectures and developing mitigation plans, ensuring that solution architectures are scalable and sustainable for operations. You propose architectural epics and stories to implement the architectural runway and clear technical debt, document quality attributes in epics & stories, and define acceptance criteria. Among your responsibilities, you will: Own and influence architecture decisions across the Portfolio, ensuring it is in alignment with BCG standards, and design principles. Own the annual DDP refresh (Data & Digital Platforms) architecture for the portfolio that covers tech maturity, road mapping, integrations, security, and data strategies. Create reference architecture focused on design principles, detailed APIs, and major systems dependencies between business and IT Define the principles, guidelines, standards, and solution patterns to ensure solution decisions are aligned with the enterprise's future-state architecture vision Analyze the business-IT environment to detect critical deficiencies, legacy, and technical debt and recommend solutions for improvement Author the strategic architecture for the Portfolio to state the architecture needed to meet the business requirements Stay up to date with emerging technology trends within the industry to innovate and champion modern technologies/frameworks/tools where appropriate YOU'RE GOOD AT To be successful, you should bring sound development and architecture experience leveraging technologies to drive technical governance, innovation, integration and cloud-oriented strategies. Ideally, you thrive in a work environment that requires strong problem solving, analytical and decision-making skills, and independent self-direction, coupled with an aptitude for collaboration and open communication. Thought leadership in technology innovation and transformation Partnering with the Product Portfolio Lead, Technical Area Lead and Enterprise Architects to envision and deliver on the architectural roadmap and priorities for the portfolio. Translating business and technical requirements into an architectural blueprint to achieve business objectives and documenting all solution architecture design and analysis work Leading evaluation, analysis, and design for the implementation of a solution architecture Demonstrated ability to collaborate with and lead cross-functional groups; and to prioritize regular workload, special tasks, and concurrent projects, allocating time and resources to ensure that work is completed accurately and efficiently within an established time frame. Valuing simplicity and being unafraid to challenge technical constraints and procedures to enable an agile, high-performing team. Comfortable partnering with Product Owners and technical leadership and providing a data-driven approach to decision making, both in the day-to-day management and in making strategic trade-offs Committing to cross-functional collaboration to achieve the best results for the organization Passionate about building enterprise-grade, scalable solutions, that add long-term value to the firm High level of initiative, self-motivation, resourcefulness and collaboration Building relationships and reliable team player, displaying consideration and respect for others Performing successfully in a fast-paced, multi-cultural and service-oriented environment Interpreting rules and guidelines flexibly to enhance the business and aligning with BCG's values and culture Exhibiting ownership and accountability for yourself and the team Attention to detail, well organized, and able to set priorities and take decisions Being flexible to be available outside of normal business hours for international calls as needed What You'll Bring Education and Certifications Bachelor's degree in information science, data management, computer science or related field. 15+ years of relevant experience in IT architecture with strong technical background, preferably in large international organizations Experience with scalable architectures, API management, serverless technologies, and SaaS low code platform-tools/technologies Demonstrated experience communicating complex system architecture technologies, patterns, artifacts, and roadmaps to senior business leadership Good understanding of technology-enabled business transformation, Digital transformation, Organizational transformation, delivering enterprise-level Digital projects Knowledge of Agile Methodologies and ways of working (Scrum, XP, DevOps ), understanding and applying a "servant leader" mindset, and with the ability to engage in Agile ceremonies to provide teams necessary direction and guidance Nice to have - IT Architect certification: Open Group certification (e.g., TOGAF Certified, Certified Architect Master) Functional/Technical Skills Strong experience as an IT architect in complex and heterogeneous environment Solid experience of designing end-to-end architecture and design of applications using one or more platforms Expertise in integrating Software as a Service (SaaS) solutions in complex environment Domain experience in Risk solutions, ideally with experience in leading a Risk Transformation project High level of expertise in understanding data architecture and supporting technologies Experience in collaborating with agile development teams in reviewing application architecture, design and implementation against quality standards Solid experience in modern design patterns Expertise towards SOA & Microservices architecture implementation using REST APIs, queue-based messaging patterns, relational and NoSQL databases Working knowledge of Machine learning model integration and MLOps pipelines. Working knowledge of orchestration for AI services. Working knowledge of on-premises/cloud-based infrastructures, SDLC pipelines, and deployments/configurations and definition/evangelism of best practices/standards Proven advanced experience with systems integration, IT industry standards, architecture principles design, and service level agreement definition Strong focus on promoting component re-use in architecture designs Experienced in software delivery including CI/CD and related DevSecOps practices, working with cloud-based platforms such as Azure or AWS Strong software design & development principles, with a focus on system stability, reusability and performance optimized for a global audience Strong understanding of application testing, diagnostics, and performance tuning Strong understanding of TDD and BDD methodologies. And workable knowledge of Data ingestion pipelines Front-end JavaScript frameworks like Angular & React and Vue AWS Azure . click apply for full job details

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. The Senior Machine Learning Engineer will play a key role in shaping the future of voice at Sky - building the intelligence that makes talking to your TV feel natural, responsive, and effortless. You'll design, develop, and maintain applied machine learning solutions that power Sky's far-field voice experiences across Sky Glass and other partner devices. What you'll do Design, develop, train and optimise scalable ML models for far-field voice detection, verification, and enhancement across Sky devices and cloud platforms. Contribute to innovation discussions and research in applied speech, audio signal processing, ASR, NLP and machine learning. Build and construct cloud-based ML pipelines and APIs that process real-time audio streams at scale. Work closely with data scientists, audio engineers, product managers, and external partners to deliver robust and accurate voice experiences. Develop and document technical specifications, ensuring solutions meet latency, performance, and reliability requirements. Monitor system metrics and production model performance to proactively identify opportunities for improvement. Ensure best practices for ML operations (MLOps), including continuous integration, model deployment, and automated testing. Provide technical guidance, code reviews, and mentorship to junior members of the team. What you'll bring Demonstrated ability across the full ML lifecycle: model development, deployment, monitoring, and maintenance, with solid theoretical knowledge from classic approaches to state-of-the-art techniques. Technical Skills and Coding Practices Proven ability to refactor and write performant, secure, and clean code; strong experience with Python and ML libraries/frameworks, plus a desire to learn additional languages. Cloud and Infrastructure Experience Hands-on experience with cloud services commonly used in serverless applications, following best practices (e.g., AWS Lambda), and working with CI/CD in agile teams. Large-Scale and Customer-Facing Solutions Strong experience building in-house models and solutions for customer-facing products, including large-scale ML systems serving tens of millions of users. Product Development and Delivery End-to-end product development skills with a passion for technology, fast-paced delivery, and a restless attitude to continuously improve speed and quality. Leadership and Collaboration Good communicator, team player, and tech leader who can also contribute individually; strong positive attitude toward success and failure. Analytical and Innovative Mindset Strong analytical skills with measurable impact, familiarity with Generative AI and its production applications, and a drive to innovate. Academic and Research Excellence (Big Plus) PhD in related subjects, extensive ML research background, academic publications in ML conferences/journals, and experience developing ML products for Voice, ASR, and NLP at scale. Team overview Our team builds and powers the voice experience that brings Sky's entertainment ecosystem to life. We design and deliver the machine learning models and cloud systems that make speaking to Sky Glass and other partner 's FFV devices feel natural, seamless and reliable. At Sky , we're creating the technology that enables millions of customers to interact effortlessly with their TV - simply by using their voice . Working as part of the Far Field Voice team and the wider Voice team at Comcast, you'll focus on continuously improving the voice experience on EntOS across all territories and syndication partners. This includes researching and delivering key and novel features - from accurate voice detection and verification, to personalised and context-aware interaction models. You'll collaborate closely with data scientists, engineers, product managers, and partners to ensure we deliver a truly frictionless, high-quality voice experience. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. The Senior Machine Learning Engineer will play a key role in shaping the future of voice at Sky - building the intelligence that makes talking to your TV feel natural, responsive, and effortless. You'll design, develop, and maintain applied machine learning solutions that power Sky's far-field voice experiences across Sky Glass and other partner devices. What you'll do Design, develop, train and optimise scalable ML models for far-field voice detection, verification, and enhancement across Sky devices and cloud platforms. Contribute to innovation discussions and research in applied speech, audio signal processing, ASR, NLP and machine learning. Build and construct cloud-based ML pipelines and APIs that process real-time audio streams at scale. Work closely with data scientists, audio engineers, product managers, and external partners to deliver robust and accurate voice experiences. Develop and document technical specifications, ensuring solutions meet latency, performance, and reliability requirements. Monitor system metrics and production model performance to proactively identify opportunities for improvement. Ensure best practices for ML operations (MLOps), including continuous integration, model deployment, and automated testing. Provide technical guidance, code reviews, and mentorship to junior members of the team. What you'll bring Demonstrated ability across the full ML lifecycle: model development, deployment, monitoring, and maintenance, with solid theoretical knowledge from classic approaches to state-of-the-art techniques. Technical Skills and Coding Practices Proven ability to refactor and write performant, secure, and clean code; strong experience with Python and ML libraries/frameworks, plus a desire to learn additional languages. Cloud and Infrastructure Experience Hands-on experience with cloud services commonly used in serverless applications, following best practices (e.g., AWS Lambda), and working with CI/CD in agile teams. Large-Scale and Customer-Facing Solutions Strong experience building in-house models and solutions for customer-facing products, including large-scale ML systems serving tens of millions of users. Product Development and Delivery End-to-end product development skills with a passion for technology, fast-paced delivery, and a restless attitude to continuously improve speed and quality. Leadership and Collaboration Good communicator, team player, and tech leader who can also contribute individually; strong positive attitude toward success and failure. Analytical and Innovative Mindset Strong analytical skills with measurable impact, familiarity with Generative AI and its production applications, and a drive to innovate. Academic and Research Excellence (Big Plus) PhD in related subjects, extensive ML research background, academic publications in ML conferences/journals, and experience developing ML products for Voice, ASR, and NLP at scale. Team overview Our team builds and powers the voice experience that brings Sky's entertainment ecosystem to life. We design and deliver the machine learning models and cloud systems that make speaking to Sky Glass and other partner 's FFV devices feel natural, seamless and reliable. At Sky , we're creating the technology that enables millions of customers to interact effortlessly with their TV - simply by using their voice . Working as part of the Far Field Voice team and the wider Voice team at Comcast, you'll focus on continuously improving the voice experience on EntOS across all territories and syndication partners. This includes researching and delivering key and novel features - from accurate voice detection and verification, to personalised and context-aware interaction models. You'll collaborate closely with data scientists, engineers, product managers, and partners to ensure we deliver a truly frictionless, high-quality voice experience. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. The Senior Machine Learning Engineer will play a key role in shaping the future of voice at Sky - building the intelligence that makes talking to your TV feel natural, responsive, and effortless. You'll design, develop, and maintain applied machine learning solutions that power Sky's far-field voice experiences across Sky Glass and other partner devices. What you'll do Design, develop, train and optimise scalable ML models for far-field voice detection, verification, and enhancement across Sky devices and cloud platforms. Contribute to innovation discussions and research in applied speech, audio signal processing, ASR, NLP and machine learning. Build and construct cloud-based ML pipelines and APIs that process real-time audio streams at scale. Work closely with data scientists, audio engineers, product managers, and external partners to deliver robust and accurate voice experiences. Develop and document technical specifications, ensuring solutions meet latency, performance, and reliability requirements. Monitor system metrics and production model performance to proactively identify opportunities for improvement. Ensure best practices for ML operations (MLOps), including continuous integration, model deployment, and automated testing. Provide technical guidance, code reviews, and mentorship to junior members of the team. What you'll bring Demonstrated ability across the full ML lifecycle: model development, deployment, monitoring, and maintenance, with solid theoretical knowledge from classic approaches to state-of-the-art techniques. Technical Skills and Coding Practices Proven ability to refactor and write performant, secure, and clean code; strong experience with Python and ML libraries/frameworks, plus a desire to learn additional languages. Cloud and Infrastructure Experience Hands-on experience with cloud services commonly used in serverless applications, following best practices (e.g., AWS Lambda), and working with CI/CD in agile teams. Large-Scale and Customer-Facing Solutions Strong experience building in-house models and solutions for customer-facing products, including large-scale ML systems serving tens of millions of users. Product Development and Delivery End-to-end product development skills with a passion for technology, fast-paced delivery, and a restless attitude to continuously improve speed and quality. Leadership and Collaboration Good communicator, team player, and tech leader who can also contribute individually; strong positive attitude toward success and failure. Analytical and Innovative Mindset Strong analytical skills with measurable impact, familiarity with Generative AI and its production applications, and a drive to innovate. Academic and Research Excellence (Big Plus) PhD in related subjects, extensive ML research background, academic publications in ML conferences/journals, and experience developing ML products for Voice, ASR, and NLP at scale. Team overview Our team builds and powers the voice experience that brings Sky's entertainment ecosystem to life. We design and deliver the machine learning models and cloud systems that make speaking to Sky Glass and other partner 's FFV devices feel natural, seamless and reliable. At Sky , we're creating the technology that enables millions of customers to interact effortlessly with their TV - simply by using their voice . Working as part of the Far Field Voice team and the wider Voice team at Comcast, you'll focus on continuously improving the voice experience on EntOS across all territories and syndication partners. This includes researching and delivering key and novel features - from accurate voice detection and verification, to personalised and context-aware interaction models. You'll collaborate closely with data scientists, engineers, product managers, and partners to ensure we deliver a truly frictionless, high-quality voice experience. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

My client, a specialist engineering consultancy with a client base spanning a number of technical engineering sectors, requires an experienced Data Scientist for a contract role outside IR35. This role is 100% WFH. The Data Scientist will utilise their expertise to analyse complex data sets and provide insights to give clients a competitive advantage. The Data Scientist will be responsible for designing and implementing data-driven solutions to address business problems and collaborate with cross-functional teams to deliver high-quality analytics solutions. The Data Scientist will have experience in using a variety of techniques to analyse complex datasets and develop data models. You will be experienced in data visualisation, understanding how to contextualise results and communicate insights to both technical and non-technical audiences. Responsibilities Work with cross-functional teams to identify business problems and translate them into data- driven solutions. Develop algorithms and statistical models to analyse and interpret complex data sets. Collaborate with software engineers to integrate models into the production environment. Communicate insights and results to technical and non-technical stakeholders. Ensure data quality and accuracy in all deliverables. Continuously monitor and improve the performance of models and algorithms. Stay up-to-date with emerging trends and technologies in the field of data science. Requirements Proven experience as a data scientist using Python and a range of libraries (Numpy, Pandas, Scikit-Learn, Matplotlib, Plotly etc.). Strong expertise in statistical modelling, machine learning, and data mining techniques. Data engineering (pipelines, databases, infrastructure), ideally with AWS experience would be an advantage. Experience with data analysis, data visualization, and data cleansing. Experience in applying data science within the context of engineering, manufacturing, or industrial operations desirable. Degree in Computer Science, Mathematics, Statistics, Data Science, or a related field.

About this Position: This role involves leading data-driven initiatives to address complex business challenges through advanced analytics and machine learning. The successful candidate will collaborate across multidisciplinary teams, providing technical leadership and ensuring the delivery of accurate, high-quality data insights. The position also offers the opportunity to engage directly with clients or stakeholders, translating technical outcomes into actionable business solutions. Job Responsibilities: Collaborate with cross-functional teams to identify business problems and develop data-driven solutions. Provide technical mentorship and guidance to other data scientists. Design and implement algorithms, statistical models, and machine learning solutions to analyse complex data sets. Communicate analytical insights clearly to both technical and non-technical stakeholders. Engage with clients to understand requirements and convert them into deliverable insights. Ensure the accuracy, integrity, and quality of all data outputs. Stay informed on emerging trends, technologies, and best practices in data science. Experience Required: Proven experience as a Data Scientist with proficiency in Python and libraries such as NumPy, Pandas, Scikit-learn, Matplotlib, and Plotly. Strong background in statistical modelling, machine learning, and data mining, with experience working on time-series data. Knowledge of data engineering principles, including pipelines, databases, and infrastructure; AWS experience is advantageous. Experience with data visualisation, analysis, and cleansing. Familiarity with version control systems, preferably Git. Degree in Computer Science, Mathematics, Statistics, Data Science, or a related field is desirable. Background in engineering, motorsport, or industrial operations is beneficial. Experience with reinforcement learning and control optimisation is desirable. Excellent problem-solving and organisational skills, with the ability to manage multiple projects effectively. Strong communication, collaboration, and stakeholder management abilities. Self-motivated, adaptable, and capable of thriving in a dynamic, fast-paced environment. Passion for continuous learning and professional development in data science and emerging technologies.

AI Tech Start Up - Junior Data Scientist - Remote Based London £30,000 - £50,000 Robret Half have partnered with an early stage high potential AI focused Tech Start-Up who aree looking for a Junior Data Scientist to join their growing team and help develop advanced machine learning models that predict and prevent equipment failures in large-scale industrial operations. This is an exciting opportunity to apply data science to real-world engineering challenges , using rich, high-frequency data from complex machinery. Their AI-driven predictive maintenance platform is built on years of operational data and designed to help clients reduce downtime, improve efficiency, and make data-backed maintenance decisions. Delivered via a secure, cloud-based SaaS model, it leverages cutting-edge technologies to bring innovation to heavy industry. You'd join the business at a very early stage which is uniquely positioned for rapid growth! What You'll Do Build, validate, and monitor machine learning models for anomaly detection and failure prediction. Analyze sensor data and operational logs to support predictive maintenance strategies. Develop and maintain data pipelines using tools like Apache Airflow for efficient workflows. Use MLflow for experiment tracking, model versioning, and deployment management. Contribute to data cleaning, feature engineering, and model evaluation processes. Collaborate with engineers and data teams to better understand equipment behavior and enhance model performance. What We're Looking For A Bachelor's degree in Computer Science, Mathematics, Electrical Engineering, or a related field. Strong experience with Python and data science libraries (Pandas, Scikit-learn, etc.). Solid understanding of machine learning concepts and algorithms . Interest in working with real-world industrial or sensor data . Exposure to Apache Airflow and/or MLflow (through coursework or experience) is a plus. A proactive, analytical mindset with a willingness to learn and collaborate. Why Join Us Work on meaningful AI applications that have a tangible impact on real-world operations. Gain exposure to end-to-end model development , from data ingestion to deployment. Be part of a supportive, technically driven team where curiosity and innovation are encouraged. Excellent opportunity for recent graduates or early-career professionals looking to grow in applied data science. Robert Half Ltd acts as an employment business for temporary positions and an employment agency for permanent positions. Robert Half is committed to diversity, equity and inclusion. Suitable candidates with equivalent qualifications and more or less experience can apply. Rates of pay and salary ranges are dependent upon your experience, qualifications and training. If you wish to apply, please read our Privacy Notice describing how we may process, disclose and store your personal data: gb/en/privacy-notice.

Head of Data Science Salary: 110K - 120K + bonus Location: Manchester 2-4 days a month The Opportunity We're working with a high-growth business that is scaling its data function to the next level. Data scientists here have traditionally combined reporting with predictive modelling, but the business is now creating a dedicated leadership role to bring focus, structure and engineering rigour to the discipline. As Head of Data Science, you'll lead a growing team of 6+ scientists embedded across product and functional teams, while also setting the technical direction and ensuring alignment with company-wide OKRs. You'll drive the transition towards machine learning engineering, championing end-to-end model ownership from research through to deployment in production. This is a fantastic opportunity to shape the data science strategy, support the career growth of talented scientists, and deliver measurable impact in areas such as search, pricing, personalisation, vouchers, marketing, operations and finance. Skills and Experience Proven leadership experience in data science or machine learning, ideally within product-led or consumer-facing organisations Strong background in building and deploying ML models at scale in production environments Ability to structure and lead embedded data science teams, partnering effectively with senior stakeholders across multiple domains Hands-on technical expertise with tools such as Databricks, Python, Spark, and GCP/BigQuery Engineering mindset, with experience moving teams toward machine learning engineering best practice Credibility to lead long-tenured individual contributors while providing direction, mentorship and career development If you are looking for a new challenge, then please submit your CV for initial screening and more details. Head of Data Science

Systems Engineer Location: Ringwood, Hampshire Salary: £37,000 - £40,000 DOE + Profit Share Hours: 37.5 hours per week This role is subject to a clear standard DBS check being received. Trusted Technology Partnership has been a specialist IT Infrastructure and Support Services provider for over 25 years. We are an Employee Ownership Trust. We are proud winners of Best Place to Work award and overall winner of the Ringwood Business Awards 2024. Our core services include support desk, on-site engineering, project management and delivery, storage and logistics, software development and technical consultancy. We encourage progression within Trusted Technology Partnership as well as offering opportunities in other teams and departments. Join our friendly company, where a great team and a positive culture await you. The Role We are seeking a skilled and motivated Systems Engineer with a passion for designing technical solutions and delivering first-class 3rd-line support. This is a key role providing outstanding service to our customers and delivering innovation across technical operations. Working with internal and external stakeholders. You will plan, implement and document technical solutions and assist in the transitions of solutions into live service, as well as providing 3rd line support services. Skills and Experience: At least 3 years of experience in a similar role (3rd line equivalent). Proven ability to implement, configure, test, and maintain technical infrastructure. Strong problem-solving skills and a proactive approach to technical challenges. Excellent knowledge of supporting enterprise network technologies including switching, firewalling, routing, and wireless products. Committed to continuous learning and actively pursuing vendor certifications. Ability to follow and produce detailed technical documentation. Strong communication skills and stakeholder management experience. Able to work independently and collaboratively in a fast-paced environment. High attention to detail with a focus on accuracy and quality. Positive, proactive attitude with a strong sense of ownership. The Package: Company Profit Share (first £3,600 is tax free). 22 days annual leave plus bank holidays, increasing with your length of service. Birthday as additional paid leave. Additional paid leave (dependent on company performance). Private Medical Insurance, including dental. Ongoing training and support. Company sick pay policy. Pension Scheme. Fresh fruit, posh coffee machine and the occasional pizza. Hybrid Working (Non-contractual). Progression opportunities.

Systems Engineer Location: Ringwood, Hampshire Salary: £37,000 - £40,000 DOE + Profit Share Hours: 37.5 hours per week This role is subject to a clear standard DBS check being received. Trusted Technology Partnership has been a specialist IT Infrastructure and Support Services provider for over 25 years. We are an Employee Ownership Trust. We are proud winners of Best Place to Work award and overall winner of the Ringwood Business Awards 2024. Our core services include support desk, on-site engineering, project management and delivery, storage and logistics, software development and technical consultancy. We encourage progression within Trusted Technology Partnership as well as offering opportunities in other teams and departments. Join our friendly company, where a great team and a positive culture await you. The Role We are seeking a skilled and motivated Systems Engineer with a passion for designing technical solutions and delivering first-class 3rd-line support. This is a key role providing outstanding service to our customers and delivering innovation across technical operations. Working with internal and external stakeholders. You will plan, implement and document technical solutions and assist in the transitions of solutions into live service, as well as providing 3rd line support services. Skills and Experience: At least 3 years of experience in a similar role (3rd line equivalent). Proven ability to implement, configure, test, and maintain technical infrastructure. Strong problem-solving skills and a proactive approach to technical challenges. Excellent knowledge of supporting enterprise network technologies including switching, firewalling, routing, and wireless products. Committed to continuous learning and actively pursuing vendor certifications. Ability to follow and produce detailed technical documentation. Strong communication skills and stakeholder management experience. Able to work independently and collaboratively in a fast-paced environment. High attention to detail with a focus on accuracy and quality. Positive, proactive attitude with a strong sense of ownership. The Package: Company Profit Share (first £3,600 is tax free). 22 days annual leave plus bank holidays, increasing with your length of service. Birthday as additional paid leave. Additional paid leave (dependent on company performance). Private Medical Insurance, including dental. Ongoing training and support. Company sick pay policy. Pension Scheme. Fresh fruit, posh coffee machine and the occasional pizza. Hybrid Working (Non-contractual). Progression opportunities.

Our client is a technology-enabled wellbeing platform that supports neurodiverse users and individuals with disabilities to thrive in education, work, and everyday life. They are looking to develop an in-house voice generation and audio delivery system to enhance accessibility and emotional engagement and searching for the ML Engineer to work remotely that's going to make it happen! Senior Machine Learning Engineer - Speech / Voice AI (remote)Contract length: 3-monthIR-35 determination: OutsideLocation: Fully remote Our client is a technology-enabled wellbeing platform that supports neurodiverse users and individuals with disabilities to thrive in education, work, and everyday life. They offer businesses a personal productivity app featuring tools for task breakdown, priority-setting, and structured support to manage anxiety, procrastination, and executive dysfunction. The platform combines tailored learning resources, assistive technology guidance, and mental health content in one accessible space. It serves both students and professionals, helping them build resilience, independence, and sustainable wellbeing through behaviour-change frameworks. Our client is looking for someone to:- Develop an in-house voice generation and audio delivery system to enhance accessibility and emotional engagement.- Build a text-to-speech capability that produces natural, empathetic voices for guided exercises and wellbeing content.- Implement multilingual functionality and customizable voice tones to support diverse user needs.- Enable dynamic personalization so users receive content in voices and styles suited to their preferences.- Integrate the audio system seamlessly with the existing app and backend for real-time playback and consistency across devices.- Create an inclusive, emotionally intelligent audio experience that deepens user connection and supports lasting behavioural wellbeing. Required skills:- Strong background in Machine Learning / Deep Learning with hands-on experience in speech or audio processing.- Experience fine-tuning or deploying modern TTS models (e.g. VITS, Bark, or FastSpeech2).- Proficiency in PyTorch (or similar) and comfortable optimizing GPU inference.- Experience deploying ML models to production and integrating via APIs.- Familiarity with AWS, GCP, or Azure for scalable deployment. Desirable:- Understanding of speaker cloning or emotional prosody control.- Experience with multilingual TTS or phoneme alignment.- Interest in ethical AI and accessible, emotionally sensitive applications. This is an exciting opportunity to help shape an inclusive AI experience that brings empathy and accessibility to users around the world. Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates

Site Support Technician Location: Bromborough, Merseyside, CH62 Contract Type: 1 month Are you a technically skilled, solutions-focused professional looking to make a real impact in a fast-paced industrial environment? We're seeking a Site Support Technician to join our team and play a key role in supporting manufacturing operations, systems integration, and customer technical support. What You'll Be Doing As a Site Support Technician, you'll be responsible for a wide range of technical and operational tasks, including: Manufacturing & Engineering Support Execute manufacturing processes such as machine building, mechanical assembly, electrical wiring, and fabrication . Assist in the design, implementation, and verification of test bench systems to meet industrial product requirements. Collaborate with engineers and technicians across disciplines to ensure optimal product integration . Actively contribute to team discussions and provide innovative solutions to technical challenges . Technical Support & Systems Maintenance Deliver ongoing technical support and maintenance for production and development systems, software products, and configured services-both onsite and remotely . Provide hardware and software support across server and network environments, including specific vendor and brand technologies. Perform L1 and L2 troubleshooting , resolving basic to intermediate technical issues efficiently. IT Infrastructure & End-User Support Demonstrate a strong understanding of IT infrastructure environments and effective customer service principles. Provide support for Windows 10 , Microsoft Office Suite , and desktop hardware fault resolution . Build and configure laptops, including imaging processes . Offer mobile device support for iOS and Android platforms. Deliver basic printer support and ensure smooth operation of peripheral devices. Knowledge Sharing & Mentorship Document processes, test results, and troubleshooting steps to support clear communication and continuous improvement . Stay up to date with industry trends and emerging technologies , bringing fresh ideas to the team. Mentor junior team members to foster a collaborative and supportive work environment . What You'll Bring We're looking for someone who is proactive, technically proficient, and thrives in a collaborative setting. You should have: Advanced proficiency in Customer Technical Support . Demonstrated experience in manufacturing and engineering environments . Strong technical knowledge of IT systems, hardware, and software . Excellent troubleshooting skills and the ability to work independently. A passion for learning and sharing knowledge with others.

Job Description Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products. As a Senior Lead Software Engineer at JPMorgan Chase within the Infrastructure Platforms organization, you are an integral part of an agile team dedicated to enhancing, building, and delivering trusted, market-leading technology products in a secure, stable, and scalable manner. Your role involves promoting significant business impact through your expertise and contributions, utilizing deep technical knowledge and problem-solving skills to address a wide range of challenges across multiple technologies and applications. With one of the largest on-prem private cloud platforms, JPMorgan Chase requires highly scaled distributed systems to interpret the vast operational observability data it generates. We are seeking an experienced and enthusiastic lead engineer to advance these platforms. Your background in software development, data, and distributed systems design will be essential in this role. Job responsibilities Design, implement, and operate distributed telemetry systems to transport, enrich and present Observability data for the firm Work with Clients and stakeholders to make recommendations for how to evolve our platform to meet customer needs Produce rich visualizations on this data to tell the story of JPMorgan Chase's private cloud adoption, growth, and operations Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors Develops secure and high-quality production code, and reviews and debugs code written by others Drives decisions that influence the product design, application functionality, and technical operations and processes Serves as a function-wide subject matter expert in one or more areas of focus Actively contributes to the engineering community as an advocate of firm wide frameworks, tools, and practices of the Software Development Life Cycle Influences peers and project decision-makers to consider the use and application of leading-edge technologies Adds to the team culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on Software Engineering concepts and proficient advanced experience Multiple years experience of technical leadership in an equivalent role Hands-on practical experience delivering system design, application development, testing, and operational stability Advanced in one or more programming language(s) Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Ability to tackle design and functionality problems independently with little to no oversight Practical cloud native experience Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field Experience building and scaling distributed systems Preferred qualifications, capabilities, and skills Knowledge of telemetry platforms like Prometheus, Grafana Experience deploying applications on Kubernetes (experience managing Kubernetes clusters a bonus) Mastery of multiple programming languages and/or paradigms (Golang a bonus) About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

Job Description Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products. As a Senior Lead Software Engineer at JPMorgan Chase within Athena Core Hydra (CIB), 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. Job responsibilities Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors Develops secure and high-quality production code, and reviews and debugs code written by others Drives decisions that influence the product design, application functionality, and technical operations and processes Serves as a function-wide subject matter expert in one or more areas of focus Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle Influences peers and project decision-makers to consider the use and application of leading-edge technologies Adds to the team culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on Advanced C++ & Java programming concepts and proficient applied experience Hands-on practical experience delivering system design, application development, testing, and operational stability in distributed systems Advanced Python programming Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., SDLC automation, cloud, artificial intelligence, machine learning ) Ability to tackle design and functionality problems independently with little to no oversight Practical cloud native experience Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team 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.

Job Description Are you a React developer seeking an exciting opportunity to contribute to the development of JP Morgan's Salt Design system? Are you looking to be part of a collaborative team that values Open Source, leads the way in CIB UI strategy, and is actively building a design system while fostering a collaborative community around its products? The Front-end Development team at Digital Platform has an opening for an Associate role. As a Front-end developer, you will play a crucial role in the development and delivery of the Salt Design System. We leverage the latest UI technologies to deliver the maximum value to our stakeholders. The Salt design System is the next generation UI Toolkit for CIB (Commercial & Investment Bank). It provides a comprehensive set of core UI components that can be used by different lines of business to create reusable patterns for their business applications. These components and guidelines are designed to accelerate application design and development, while ensuring consistency and accessibility (WCAG 2.1) through stable design foundations. Job responsibilities Develop and maintain high-quality React components for the Salt Design System. Collaborate with designers to implement UI designs and ensure consistency across our digital products. Work closely with product managers and other developers to understand requirements and deliver solutions that meet business needs. Write clean, efficient, and maintainable code, following best practices and coding standards. Conduct code reviews and provide constructive feedback to ensure code quality and adherence to standards. Stay up-to-date with the latest trends and technologies in front-end development, and actively contribute to the improvement of our development processes and tools. Adds to team culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Existing proficiency in React, Typescript and JavaScript. Solid understanding of HTML, CSS, and responsive web design. Familiarity with modern front-end development tools and libraries (e.g. esbuild, rollup, vite). Knowledge of version control systems (e.g., Git) and collaborative development workflows. Excellent problem-solving and debugging skills. Strong communication and collaboration skills, with the ability to work effectively in a team environment. Emerging knowledge, opinion and of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Preferred qualifications, capabilities, and skills Preferable experience in building reusable UI components or working with design systems. Familiarity with modern front-end technologies (e.g. NextJS, Remix) Asynchronous operations in Javascript (maybe using libraries such as Axios, RxJS) Familiarity with solving UI state management Already contributes to an Open Source project Clean Code advocate An understanding of UI accessibility concerns Familiarity with one of JPM's existing design languages (UITK, MDS) About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team 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.

Are you passionate about applying advanced NLP and AI methodologies to real-world investment challenges? Join our Data Science team and help transform how investors make decisions by generating actionable insights from large-scale financial data. This is your opportunity to work with cutting-edge technology, collaborate with industry experts, and make a meaningful impact on our investment platform. As an Asset Management Investment Platform Data Scientist - Summer Associate in the Asset Management Data Science team, you will use your expertise in NLP and large language models to develop business-centric products that enhance investment processes, improve client experiences, and streamline operations. You will work closely with investors and portfolio managers to extract vital insights from financial reports, analyst notes, and client communications, empowering data-driven decision making and process automation. Job responsibilities Develop technical solutions utilizing large language models for content extraction, search, question answering, reasoning, and recommendation. Build comprehensive testing setups to evaluate model performance and ensure efficacy and reliability. Collaborate with engineering teams to deliver high-quality, scalable solutions. Study scientific articles and research papers to identify emerging techniques and discover new approaches. Required qualifications, capabilities, and skills Advanced degree in Data Science, Computer Science, or Machine Learning. Proven experience in natural language processing and working with large language models. Proficiency in programming languages such as Python and familiarity with machine learning libraries and frameworks. Excellent communication skills and ability to work collaboratively in a fast-paced, dynamic environment. Strong analytical skills with an understanding of financial markets and asset management.

Job Description Join our Applied AI/ML team to advance AI in financial services and optimise business decisions. As an Applied AI ML Scientist/Engineer in the Engineering Space at JPMorganChase, you'll be at the forefront of AI innovation, combining cutting-edge techniques with unique data assets to optimise business decisions and automate processes. This role offers a unique blend of artificial intelligence and software engineering, allowing you to advance engineering processes and build impactful products. In this role, you will leverage the latest research in Large Language Models, Natural Language Processing, and statistical machine learning to build AI-powered products that automate processes and enhance decision-making. You will collaborate with engineering and testing teams to design scalable Machine Learning services and communicate AI capabilities to diverse audiences. Job Responsibilities Development of advanced machine learning models to address complex operational challenges. Evaluating and communicating the impact brought by proposed solutions. Architect and oversee the deployment of generative AI applications and agents to automate and enhance business processes. Collaborate with senior stakeholders to understand strategic business needs and translate them into comprehensive technical solutions. Analyse large datasets to extract actionable insights and support data-driven decision-making at a strategic level. Ensure the scalability, reliability, and security of AI/ML solutions in a production environment, with a focus on long-term sustainability. Stay informed about the latest advancements in AI/ML technologies and drive their integration into our operations. Mentor and guide junior team members, fostering a culture of innovation and continuous learning. Required Qualifications, Capabilities, And Skills Advanced degree in a STEM field (Degree in Computer Science or Software Engineering), with experience in AI/ML. Proficiency in Python with a strong emphasis on code quality and reliability through comprehensive testing. Proven track record of AI/ML model development and deployment of AI/ML applications in a production environment, with expertise in deploying models on AWS platforms. Familiarity with MLOps practices, covering the full cycle from design, experimentation, deployment, to monitoring and maintenance of machine learning models. Familiarity with AI/ML frameworks such as OpenAI SDK, Langchain, TensorFlow, PyTorch, PyTorch Lightning, or Scikit-learn. Experience with generative AI models, mainly as cloud service APIs (e.g., OpenAI). Experience with integrating user feedback to establish self-improving AI applications. Solid understanding of data preprocessing, feature engineering, and model evaluation techniques. Familiarity with cloud platforms (AWS). Excellent problem-solving skills and the ability to work independently and collaboratively. Strong communication skills to effectively convey complex technical concepts to non-technical stakeholders. Preferred Qualifications, Capabilities, And Skills Experience in software engineering practices. Experience in developing AI solutions using agentic frameworks. Experience fine-tuning LLMs with advanced techniques. Experience with prompt optimisation to enhance the performance and effectiveness of prompt engineering. Demonstrated ability to design and implement AI application architecture. Significant experience in bringing AI applications to production with a focus on strategic impact and innovation. Please note this role is based onsite 5 days a week. About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

Job Description Are you ready to make a real impact with cutting-edge AI solutions? As part of our Data Science team, you'll work alongside talented engineers and scientists to create market-leading products. You'll have the opportunity to grow your career, expand your skills, and help drive the future of technology at a global scale. We value creativity, collaboration, and a culture of inclusion. Your expertise will help us deliver secure, scalable, and trusted AI solutions. As a Senior Lead Software Engineer at JPMorganChase within the Data Science team under Global Technology CDAO, you will design, develop, and architect AI products that support our clients and business growth. You will collaborate with software and data engineers, as well as research scientists, to deliver innovative solutions. Your role will include providing technical leadership, translating business needs into technical specifications, and recommending optimal technologies. You will help foster a culture of diversity, equity, and inclusion while driving technical excellence. Job Responsibilities: Collaborate with data scientists and machine learning engineers to deliver products to production Execute creative software solutions, design, development, and technical troubleshooting Produce architecture and design artifacts for complex applications, including data pipelines for analytics, model evaluation, and training Ensure design constraints are met by software code development Identify hidden problems and patterns in data to drive improvements in coding hygiene and system architecture Provide feedback and propose improvements to architecture governance practices Guide evaluation of current technology and lead evaluation of new technologies using existing standards and frameworks Drive decisions that influence product design, application functionality, and technical operations Add to team culture of diversity, opportunity, inclusion, and respect Required Qualifications, Capabilities, and Skills: Advanced knowledge of software architecture, applications, and technical processes in one or more technical disciplines (cloud, artificial intelligence, machine learning, etc.) Exposure to cloud technologies (AWS or GCP) through hands-on experience or certification Proven programming and scripting skills with multiple modern languages including Python, Golang, TypeScript, and similar Hands-on experience delivering system design, application development, testing, and operational stability Experience with GPT, LLM, RAG, Gen AI, and Prompt Engineering technologies Preferred Qualifications, Capabilities, and Skills: Experience working in agile development teams Strong communication and collaboration skills Ability to evaluate and recommend new tools and technologies Familiarity with compliance and validation in model development Commitment to continuous learning and professional growth About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

Job Description Join JPMorganChase, a global leader in financial services, as we revolutionize our operations with artificial intelligence and machine learning. As a Software Engineer II at JPMorgan Chase within the AIML and Data Platforms (AMDP) team, you will be addressing significant challenges in the financial services sector and creating substantial impact. You will have the opportunity to work alongside industry leaders and contribute to pioneering AI/ML capabilities that solidify JPMC's industry leadership. Your crucial role in the LLM Suite within the AMDP team will involve transforming early-stage code into production-ready solutions and developing innovative AI/ML solutions using public cloud architecture. You will also collaborate with cross-functional teams to integrate generative AI into various applications and products. Job Responsibilities: Develop innovative AI/ML solutions and agentic systems for the LLM Suite platform using Azure, AWS, and AI Agentic frameworks. Integrate with AWS Cloud Services for compute, storage, databases, and security, as well as the Azure ecosystem. Create solutions or tools to provision and monitor infrastructure for LLM and agentic systems. Utilize operational skills to provide impactful recommendations for product, process, or policy improvements. Collaborate with the Product team to design, build, and deliver capabilities in agile sprints. Work with cross-functional teams, including data scientists, software engineers, and designers. Develop and implement state-of-the-art GenAI services leveraging Azure OpenAI models and AWS Bedrock service. Required Qualifications, Capabilities, and Skills: Formal training or certification on software engineering concepts and proficient applied experience Strong hands-on experience with at least one programming language (Python/Java/Rust) Experience in developing microservices using Python with FastAPI. Commercial experience in both backend and frontend engineering Hands-on experience with AWS Cloud-based applications development, including EC2, ECS, EKS, Lambda, SQS, SNS, RDS Aurora MySQL & Postgres, DynamoDB, EMR, and Kinesis. Strong engineering background in machine learning, deep learning, and neural networks. Experience with containerized stack using Kubernetes or ECS for development, deployment, and configuration. Experience with Single Sign-On/OIDC integration and a deep understanding of OAuth, JWT/JWE/JWS. Solid understanding of backend performance optimization and debugging. Knowledge of AWS SageMaker and data analytics tools. Proficiency in frameworks TensorFlow, PyTorch, or similar. Preferred Qualifications, Capabilities, and Skills: Familiarity with LangChain, Langgraph, or any Agentic Frameworks is a strong plus. Python engineering experience React About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

Job Description Be part of a team managing a high performance compute estate, utilizing a portfolio of auxiliary micro-services to automate builds and monitor the infrastructure. As a Senior Lead Software Engineer at JPMorgan Chase within a Technology Division, you will be responsible for leading a small team of Java developers integrating various technologies to deliver modern robust tooling. In the role you will need to prioritize work within the team, promote collaboration and enable others to succeed, you will be viewed as the SME for the Java portfolio of apps and expected to help design and solve complex problems leveraging your and other's deep technical expertise. Job responsibilities Managing and mentoring a small team of Java developers to work across projects in an agile fashion Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors Develops secure and high-quality production code, and reviews and debugs code written by others Drives decisions that influence the product design, application functionality, and technical operations and processes Serves as a function-wide subject matter expert in one or more areas of focus Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle Influences peers and project decision-makers to consider the use and application of leading-edge technologies Adds to the team culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities, and skills Java with Springboot developer (v17 & v21, with view to continuous modernization) Integrating Java with other systems (Databases / Restful APIs, etc) Practiced in CICD, with understanding of managing risk whilst accelerating development Formal training or certification on Software Engineering concepts and proficient advanced experience Hands-on practical experience delivering system design, application development, testing, and operational stability Advanced in one or more programming language(s) Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Ability to tackle design and functionality problems independently with little to no oversight Practical cloud native experience Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field Preferred qualifications, capabilities, and skills Prefer to have experience with Linux Some knowledge of Python About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.