Huawei Technologies Research & Development (UK) Ltd
About Huawei Research and Development UK Limited Founded in 1987, Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. We have 207,000 employees and operate in over 170 countries and regions, serving more than three billion people around the world. Our vision and mission is to bring digital to every person, home and organization for a fully connected, intelligent world. To this end, we will drive ubiquitous connectivity and promote equal access to networks; bring cloud and artificial intelligence to all four corners of the earth to provide superior computing power where you need it, when you need it; build digital platforms to help all industries and organizations become more agile, efficient, and dynamic; redefine user experience with AI, making it more personalized for people in all aspects of their life, whether they're at home, in the office, or on the go. This spirit of innovation has led Huawei to work in close partnership with leading academic institutions in the UK to develop and refine the latest technologies. With a shared commitment to innovation and progress, both parties have worked together to achieve common goals and establish a strong partnership. The partnership between UK and Huawei help to develop the technologies of the future that will transform the way we all communicate, work and live. For the past 30 years we have maintained an unwavering focus, rejecting shortcuts and easy opportunities that don't align with our core business. With a practical approach to everything we do, we concentrate our efforts and invest patiently to drive technological breakthroughs. This strategic focus is a reflection of our core values: Staying customer-centric Inspiring dedication Persevering Growing by reflection Huawei Research and Development UK Limited Overview Huawei's vision is a fully connected, intelligent world. To achieve this, we work to inspire passion for basic research around the world. Our combined passion drives development across the global innovation value chain. Huawei has the largest Research and Development organization in the world with 96,000+ employees in research centers around the globe. In the UK, we already have design centers in Cambridge, London, Edinburgh and Ipswich. We continue to explore and define new research directions and new services. We have expanded our collaborations with academic researchers; researched new network architectures, integration of communications and key enabling technologies; and developed the fundamental theories of these technologies. We invite you to join us on this exciting journey and drive your career forward. Job Summary Research and develop AI-driven systems for autonomous materials discovery, with focus on crystal structure prediction and property optimization. Design hybrid world models combining symbolic physics simulators with neural surrogates, and implement LLM-guided search algorithms coordinated through reinforcement learning and Bayesian optimization frameworks targeting accelerated discovery of superconductors, catalysts, and functional materials. Bridge the sim-to-real gap by integrating computational chemistry tools (DFT, molecular dynamics) with autonomous laboratory feedback loops for closed-loop experimentation and model refinement. Key Responsibilities: Conduct original research at the intersection of materials science and machine learning, leading to publications in top conferences and journals (e.g., NeurIPS, ICLR, ICML, Nature Materials, JACS, Physical Review). Design and implement algorithms for materials discovery using reinforcement learning, Bayesian optimization, and LLM-guided search. Develop and validate world models for materials systems, including hybrid symbolic-neural simulators and surrogate models for expensive quantum mechanical calculations. Collaborate with domain experts to translate materials science problems into computational frameworks and validate results against experimental data. Actively engage with both the ML and materials research communities through publications, open-source contributions, and cross-disciplinary collaboration. This job description is only an outline of the tasks, responsibilities and outcomes required of the role. The jobholder will carry out any other duties as may be reasonably required by his/her line manager. The job description and personal specification may be reviewed on an ongoing basis in accordance with the changing needs of Huawei Research and Development UK Limited. Required: Master's or PhD (or currently pursuing) in Materials Science, Computational Chemistry, Chemical Physics, or related field, with demonstrated exposure to machine learning applications. Strong foundation in crystallography, solid-state chemistry, or computational materials science (DFT, molecular dynamics, structure-property relationships). Familiarity with at least one of the following ML areas: Reinforcement learning, Bayesian optimization, world models, or LLM applications. Proficiency in Python and experience with scientific computing libraries and at least one ML framework (PyTorch, JAX, or TensorFlow). Ability to work in a fast-paced, research-oriented environment bridging materials science and AI. Passion for applying AI to accelerate scientific discovery in the physical sciences. Desired: Publications in materials science, chemistry, or physics journals (e.g., Nature Materials, Advanced Materials, JACS, Physical Review) or at ML/AI conferences. Hands-on experience with computational chemistry tools. Experience with materials databases and high-throughput computational screening. Familiarity with graph neural networks for materials or surrogate modeling techniques. Knowledge of autonomous laboratories, robotic experimentation, or closed-loop optimization in physical sciences. Active GitHub portfolio showcasing materials informatics or AI-for-science projects. Understanding of structure prediction methods (genetic algorithms, particle swarm, basin hopping) and their limitations.
Mar 11, 2026
Full time
About Huawei Research and Development UK Limited Founded in 1987, Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. We have 207,000 employees and operate in over 170 countries and regions, serving more than three billion people around the world. Our vision and mission is to bring digital to every person, home and organization for a fully connected, intelligent world. To this end, we will drive ubiquitous connectivity and promote equal access to networks; bring cloud and artificial intelligence to all four corners of the earth to provide superior computing power where you need it, when you need it; build digital platforms to help all industries and organizations become more agile, efficient, and dynamic; redefine user experience with AI, making it more personalized for people in all aspects of their life, whether they're at home, in the office, or on the go. This spirit of innovation has led Huawei to work in close partnership with leading academic institutions in the UK to develop and refine the latest technologies. With a shared commitment to innovation and progress, both parties have worked together to achieve common goals and establish a strong partnership. The partnership between UK and Huawei help to develop the technologies of the future that will transform the way we all communicate, work and live. For the past 30 years we have maintained an unwavering focus, rejecting shortcuts and easy opportunities that don't align with our core business. With a practical approach to everything we do, we concentrate our efforts and invest patiently to drive technological breakthroughs. This strategic focus is a reflection of our core values: Staying customer-centric Inspiring dedication Persevering Growing by reflection Huawei Research and Development UK Limited Overview Huawei's vision is a fully connected, intelligent world. To achieve this, we work to inspire passion for basic research around the world. Our combined passion drives development across the global innovation value chain. Huawei has the largest Research and Development organization in the world with 96,000+ employees in research centers around the globe. In the UK, we already have design centers in Cambridge, London, Edinburgh and Ipswich. We continue to explore and define new research directions and new services. We have expanded our collaborations with academic researchers; researched new network architectures, integration of communications and key enabling technologies; and developed the fundamental theories of these technologies. We invite you to join us on this exciting journey and drive your career forward. Job Summary Research and develop AI-driven systems for autonomous materials discovery, with focus on crystal structure prediction and property optimization. Design hybrid world models combining symbolic physics simulators with neural surrogates, and implement LLM-guided search algorithms coordinated through reinforcement learning and Bayesian optimization frameworks targeting accelerated discovery of superconductors, catalysts, and functional materials. Bridge the sim-to-real gap by integrating computational chemistry tools (DFT, molecular dynamics) with autonomous laboratory feedback loops for closed-loop experimentation and model refinement. Key Responsibilities: Conduct original research at the intersection of materials science and machine learning, leading to publications in top conferences and journals (e.g., NeurIPS, ICLR, ICML, Nature Materials, JACS, Physical Review). Design and implement algorithms for materials discovery using reinforcement learning, Bayesian optimization, and LLM-guided search. Develop and validate world models for materials systems, including hybrid symbolic-neural simulators and surrogate models for expensive quantum mechanical calculations. Collaborate with domain experts to translate materials science problems into computational frameworks and validate results against experimental data. Actively engage with both the ML and materials research communities through publications, open-source contributions, and cross-disciplinary collaboration. This job description is only an outline of the tasks, responsibilities and outcomes required of the role. The jobholder will carry out any other duties as may be reasonably required by his/her line manager. The job description and personal specification may be reviewed on an ongoing basis in accordance with the changing needs of Huawei Research and Development UK Limited. Required: Master's or PhD (or currently pursuing) in Materials Science, Computational Chemistry, Chemical Physics, or related field, with demonstrated exposure to machine learning applications. Strong foundation in crystallography, solid-state chemistry, or computational materials science (DFT, molecular dynamics, structure-property relationships). Familiarity with at least one of the following ML areas: Reinforcement learning, Bayesian optimization, world models, or LLM applications. Proficiency in Python and experience with scientific computing libraries and at least one ML framework (PyTorch, JAX, or TensorFlow). Ability to work in a fast-paced, research-oriented environment bridging materials science and AI. Passion for applying AI to accelerate scientific discovery in the physical sciences. Desired: Publications in materials science, chemistry, or physics journals (e.g., Nature Materials, Advanced Materials, JACS, Physical Review) or at ML/AI conferences. Hands-on experience with computational chemistry tools. Experience with materials databases and high-throughput computational screening. Familiarity with graph neural networks for materials or surrogate modeling techniques. Knowledge of autonomous laboratories, robotic experimentation, or closed-loop optimization in physical sciences. Active GitHub portfolio showcasing materials informatics or AI-for-science projects. Understanding of structure prediction methods (genetic algorithms, particle swarm, basin hopping) and their limitations.
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next generation computing experiences-from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you'll discover the real differentiator is our culture. We push the limits of innovation to solve the world's most important challenges-striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. We are currently seeking a Senior Engineering Software Manager to join our Customer eXperience Engineering (CXE) team, which is part of AMD's Embedded Computing Group. This is an exciting opportunity to work within a highly strategic and important part of AMD's business, targeting the next generation of Embedded & AI technologies and tools to meet the needs of our customers. As part of the CXE team you will act as 'Customer Zero', developing industrial proof of concept system solutions on our next generations of Embedded products. You will provide a customer perspective to influence the architecture of our next generation silicon, software and tools. The successful candidate will lead the development of Embedded software platforms that can enable Physical AI systems-AI that perceives, reasons, and acts in the physical world. This role combines hands on technical depth in embedded software (C/C++, RTOS, Linux/Yocto) with strong people leadership, system level thinking, and close collaboration across hardware, software, and AI teams. You will manage and grow a high performing team responsible for real time, safety aware, resource constrained software that bridges silicon, firmware, operating systems, middleware, AI and other runtime stacks. The ideal candidate is equally comfortable reviewing RTOS scheduling decisions, shaping Yocto based Linux platforms, and setting a long term strategy for our Embedded SW requirements. As a key contributor, you will work alongside a diverse and experienced design team that will enable enormous opportunities for learning and self development. Key Responsibilities Technical Leadership Provide technical direction and architectural leadership for embedded software stacks spanning: RTOS based systems Embedded Linux platforms (Yocto) Device drivers, BSPs, middleware, AI and other runtimes Lead system level design decisions balancing latency, determinism, power, memory, safety, and performance Guide the integration of AI/ML workloads (inference pipelines, sensor fusion, control loops) into real time and embedded Linux environments Establish best practices for software quality, reliability, security, and functional safety Support bring up, debugging, and root cause analysis across the full HW/SW stack People & Organization Leadership Build, mentor, and retain a world class embedded software team Set clear technical expectations while enabling engineers to grow in both depth and scope Foster a culture of ownership, accountability, and engineering excellence Conduct performance management, career development, and succession planning Own embedded platform roadmaps aligned with product and silicon timelines Technical Expertise 10+ years of experience in embedded software development, with significant time in C/C++ Proven experience managing senior engineers and technical leads Strong hands on experience with RTOS (e.g., FreeRTOS, Zephyr, QNX, VxWorks, or equivalent) Deep knowledge of embedded Linux, including Yocto (recipes, layers, BSPs, CI integration) AI Driven Development Experience delivering software for production embedded systems Qualifications Bachelor's or Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or a related discipline Benefits offered Benefits offered are described: AMD benefits at a glance. Equal Employment Opportunity AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD's "Responsible AI Policy" is available here. This posting is for an existing vacancy.
Mar 10, 2026
Full time
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next generation computing experiences-from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you'll discover the real differentiator is our culture. We push the limits of innovation to solve the world's most important challenges-striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. We are currently seeking a Senior Engineering Software Manager to join our Customer eXperience Engineering (CXE) team, which is part of AMD's Embedded Computing Group. This is an exciting opportunity to work within a highly strategic and important part of AMD's business, targeting the next generation of Embedded & AI technologies and tools to meet the needs of our customers. As part of the CXE team you will act as 'Customer Zero', developing industrial proof of concept system solutions on our next generations of Embedded products. You will provide a customer perspective to influence the architecture of our next generation silicon, software and tools. The successful candidate will lead the development of Embedded software platforms that can enable Physical AI systems-AI that perceives, reasons, and acts in the physical world. This role combines hands on technical depth in embedded software (C/C++, RTOS, Linux/Yocto) with strong people leadership, system level thinking, and close collaboration across hardware, software, and AI teams. You will manage and grow a high performing team responsible for real time, safety aware, resource constrained software that bridges silicon, firmware, operating systems, middleware, AI and other runtime stacks. The ideal candidate is equally comfortable reviewing RTOS scheduling decisions, shaping Yocto based Linux platforms, and setting a long term strategy for our Embedded SW requirements. As a key contributor, you will work alongside a diverse and experienced design team that will enable enormous opportunities for learning and self development. Key Responsibilities Technical Leadership Provide technical direction and architectural leadership for embedded software stacks spanning: RTOS based systems Embedded Linux platforms (Yocto) Device drivers, BSPs, middleware, AI and other runtimes Lead system level design decisions balancing latency, determinism, power, memory, safety, and performance Guide the integration of AI/ML workloads (inference pipelines, sensor fusion, control loops) into real time and embedded Linux environments Establish best practices for software quality, reliability, security, and functional safety Support bring up, debugging, and root cause analysis across the full HW/SW stack People & Organization Leadership Build, mentor, and retain a world class embedded software team Set clear technical expectations while enabling engineers to grow in both depth and scope Foster a culture of ownership, accountability, and engineering excellence Conduct performance management, career development, and succession planning Own embedded platform roadmaps aligned with product and silicon timelines Technical Expertise 10+ years of experience in embedded software development, with significant time in C/C++ Proven experience managing senior engineers and technical leads Strong hands on experience with RTOS (e.g., FreeRTOS, Zephyr, QNX, VxWorks, or equivalent) Deep knowledge of embedded Linux, including Yocto (recipes, layers, BSPs, CI integration) AI Driven Development Experience delivering software for production embedded systems Qualifications Bachelor's or Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or a related discipline Benefits offered Benefits offered are described: AMD benefits at a glance. Equal Employment Opportunity AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD's "Responsible AI Policy" is available here. This posting is for an existing vacancy.
Are you ready to take your career to the next level with an exciting opportunity in the manufacturing industry? This is your chance to join a forward-thinking company that is shaping the future of smart manufacturing and Industry 4.0. As an IoT Developer - Manufacturing Systems, you will play a pivotal role in transforming the way manufacturing operates, driving innovation and operational excellence. With cutting-edge projects, a dynamic work environment, and the opportunity to make a real impact, this role offers the perfect blend of challenge and reward. What You Will Do: - Connect shop floor equipment, including assembly cells, robots, CNC machines, and die-casting equipment, to publish data to an MQTT broker. - Implement Condition-Based Monitoring systems and contribute to energy management and sustainability initiatives. - Develop and configure Grafana dashboards to visualise data effectively. - Prepare build documentation for Single Board Computers using Docker. - Troubleshoot issues by performing root cause analysis and continuously improve operational processes. - Collaborate with project managers and senior leadership to drive projects forward. What You Will Bring: - A Bachelor's degree in Computer Science, Controls Engineering, or a related field. - Technical expertise in programming languages such as Python, JavaScript, and IEC 61131-3, as well as IoT application protocols like MQTT and OPC UA. - Knowledge of smart manufacturing concepts, SCADA systems, and predictive maintenance. - Experience with edge computing devices, databases, and cybersecurity basics. - A proactive mindset, strong interpersonal skills, and the ability to work collaboratively in a fast-paced environment. As an IoT Developer - Manufacturing Systems, your work will be instrumental in driving innovation and operational excellence. This company is committed to developing fully connected manufacturing systems, enabling smarter, more efficient processes that align with sustainability goals. By joining this team, you will contribute to a culture of continuous improvement and cutting-edge advancements in the manufacturing industry. Location: This role is based in Telford, offering you the opportunity to work in a vibrant and growing manufacturing hub. Interested?: If you're ready to embrace this exciting challenge and make your mark as an IoT Developer - Manufacturing Systems, apply today! Don't miss the chance to be part of a company that's leading the way in smart manufacturing innovation. Your CV will be forwarded to Jonathan Lee Recruitment, a leading engineering and manufacturing recruitment consultancy established in 1978. The services advertised by Jonathan Lee Recruitment are those of an Employment Agency.In order for your CV to be processed effectively, please ensure your name, email address, phone number and location (post code OR town OR county, as a minimum) are included.
Mar 04, 2026
Full time
Are you ready to take your career to the next level with an exciting opportunity in the manufacturing industry? This is your chance to join a forward-thinking company that is shaping the future of smart manufacturing and Industry 4.0. As an IoT Developer - Manufacturing Systems, you will play a pivotal role in transforming the way manufacturing operates, driving innovation and operational excellence. With cutting-edge projects, a dynamic work environment, and the opportunity to make a real impact, this role offers the perfect blend of challenge and reward. What You Will Do: - Connect shop floor equipment, including assembly cells, robots, CNC machines, and die-casting equipment, to publish data to an MQTT broker. - Implement Condition-Based Monitoring systems and contribute to energy management and sustainability initiatives. - Develop and configure Grafana dashboards to visualise data effectively. - Prepare build documentation for Single Board Computers using Docker. - Troubleshoot issues by performing root cause analysis and continuously improve operational processes. - Collaborate with project managers and senior leadership to drive projects forward. What You Will Bring: - A Bachelor's degree in Computer Science, Controls Engineering, or a related field. - Technical expertise in programming languages such as Python, JavaScript, and IEC 61131-3, as well as IoT application protocols like MQTT and OPC UA. - Knowledge of smart manufacturing concepts, SCADA systems, and predictive maintenance. - Experience with edge computing devices, databases, and cybersecurity basics. - A proactive mindset, strong interpersonal skills, and the ability to work collaboratively in a fast-paced environment. As an IoT Developer - Manufacturing Systems, your work will be instrumental in driving innovation and operational excellence. This company is committed to developing fully connected manufacturing systems, enabling smarter, more efficient processes that align with sustainability goals. By joining this team, you will contribute to a culture of continuous improvement and cutting-edge advancements in the manufacturing industry. Location: This role is based in Telford, offering you the opportunity to work in a vibrant and growing manufacturing hub. Interested?: If you're ready to embrace this exciting challenge and make your mark as an IoT Developer - Manufacturing Systems, apply today! Don't miss the chance to be part of a company that's leading the way in smart manufacturing innovation. Your CV will be forwarded to Jonathan Lee Recruitment, a leading engineering and manufacturing recruitment consultancy established in 1978. The services advertised by Jonathan Lee Recruitment are those of an Employment Agency.In order for your CV to be processed effectively, please ensure your name, email address, phone number and location (post code OR town OR county, as a minimum) are included.
Role: AI/ML Computational Science Senior Manager Location: London Salary: Competitive salary and package dependent on experience Career Level: Senior Manager (CL6) Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next generation technology to each business challenge. We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too. "Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and with the communities in which we work and live. It is personal to all of us." - Julie Sweet, Accenture CEO As a team: Working across industry groups, our Centre for Advanced AI team combines deep technology, business and industry expertise to design and deliver some of the largest, most challenging and highest profile technology solutions in the world. You'll work on innovative projects with colleagues to drive collaboration from strategy through to implementation. You will be using the latest technologies, with a particular focus on AI and GenAI, with clients to help them get to the next level. You'll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways. If you're looking for a challenging career working in a vibrant environment with access to training and a global network of experts, this could be the role for you. As part of our team, you'll be working with cutting edge technologies and will have the opportunity to develop a wide range of new skills on the job. We Are The beginning of a new Data & AI decade that will reshape work and society has begun. Accenture is stepping boldly into this future with a clear strategy and purpose: to help clients optimize and reinvent their business with data & AI - backed by a $3B investment and commitment to our people to do industry defining work. With over 45,000 professionals dedicated to Data & AI, Accenture's Data & AI organization brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem. You Are As an Artificial Intelligence and Machine Learning Computational Science professional, you will play a pivotal role in formulating real world problems into practical, efficient, and scalable AI and Machine Learning solutions. You will be responsible for developing and implementing cutting edge artificial intelligence solutions that drive innovation and enhance performance. You will collaborate with cross functional teams and leverage your expertise in machine learning, deep learning, and data analysis to solve complex problems and deliver impactful AI driven solutions. The Work We are seeking an experienced Agentic DevOps Lead to lead our Agentic DevOps initiatives. This role is pivotal in scaling our Generative AI agentic solutions across diverse cloud environments. You will architect and operationalize a reusable, portable Agentic DevOps framework that ensures production readiness, observability, and deployment efficiency for agentic applications. You will lead a team of reinventors-engineers, architects, and DevOps specialists-focused on delivering industry leading agentic systems that are robust, scalable, and client ready. Key Responsibilities Lead Agentic DevOps Strategy: Define and implement scalable DevOps frameworks for agentic systems using LangGraph, Crew AI, Autogen, and other orchestration tools. Framework Development: Build reusable scaffolding for agent lifecycle management, orchestration, monitoring, and metering. Cloud Native Deployment: Architect and manage CI/CD pipelines for public and private cloud environments (AWS, Azure, GCP). Production Readiness: Ensure agentic applications meet enterprise grade standards for security, reliability, and compliance. Team Leadership: Mentor and manage cross functional teams across DevOps, AI engineering, and client enablement. Client Enablement: Collaborate with solution architects to tailor deployments for client environments and ensure seamless onboarding. Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements. Job Qualifications Design and develop artificial intelligence AI and machine learning ML systems leveraging existing cloud AI services. Design and build scalable data pipelines to support model training and production with DevOpsMLOps. Customize and apply Deep Learning and Gen AI models for use cases based on business needs, data availability, system and infrastructure requirements including edge devices and High-Performance Computers HPCs. Justify the quality and value of the solution. Engage in research and development of new AI and high-performance computing algorithms, models, and simulations along with their applications to solve complex problems. Work with large scale datasets and utilize data preprocessing techniques to ensure high quality input for training and production. Implement and maintain efficient data storage and retrieval mechanisms for models and knowledge using appropriate tools. What's in it for you At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes 30 days' vacation per year, private medical insurance and 3 extra days leave per year for charitable work of your choice! Flexibility and mobility are required to deliver this role as there may be requirements to spend time onsite with our clients and partners to enable delivery of the first class services we are known for. Closing Date for Applications: 26/06/26 Accenture reserves the right to close the role prior to this date should a suitable applicant be found.
Mar 02, 2026
Full time
Role: AI/ML Computational Science Senior Manager Location: London Salary: Competitive salary and package dependent on experience Career Level: Senior Manager (CL6) Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next generation technology to each business challenge. We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too. "Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and with the communities in which we work and live. It is personal to all of us." - Julie Sweet, Accenture CEO As a team: Working across industry groups, our Centre for Advanced AI team combines deep technology, business and industry expertise to design and deliver some of the largest, most challenging and highest profile technology solutions in the world. You'll work on innovative projects with colleagues to drive collaboration from strategy through to implementation. You will be using the latest technologies, with a particular focus on AI and GenAI, with clients to help them get to the next level. You'll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways. If you're looking for a challenging career working in a vibrant environment with access to training and a global network of experts, this could be the role for you. As part of our team, you'll be working with cutting edge technologies and will have the opportunity to develop a wide range of new skills on the job. We Are The beginning of a new Data & AI decade that will reshape work and society has begun. Accenture is stepping boldly into this future with a clear strategy and purpose: to help clients optimize and reinvent their business with data & AI - backed by a $3B investment and commitment to our people to do industry defining work. With over 45,000 professionals dedicated to Data & AI, Accenture's Data & AI organization brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem. You Are As an Artificial Intelligence and Machine Learning Computational Science professional, you will play a pivotal role in formulating real world problems into practical, efficient, and scalable AI and Machine Learning solutions. You will be responsible for developing and implementing cutting edge artificial intelligence solutions that drive innovation and enhance performance. You will collaborate with cross functional teams and leverage your expertise in machine learning, deep learning, and data analysis to solve complex problems and deliver impactful AI driven solutions. The Work We are seeking an experienced Agentic DevOps Lead to lead our Agentic DevOps initiatives. This role is pivotal in scaling our Generative AI agentic solutions across diverse cloud environments. You will architect and operationalize a reusable, portable Agentic DevOps framework that ensures production readiness, observability, and deployment efficiency for agentic applications. You will lead a team of reinventors-engineers, architects, and DevOps specialists-focused on delivering industry leading agentic systems that are robust, scalable, and client ready. Key Responsibilities Lead Agentic DevOps Strategy: Define and implement scalable DevOps frameworks for agentic systems using LangGraph, Crew AI, Autogen, and other orchestration tools. Framework Development: Build reusable scaffolding for agent lifecycle management, orchestration, monitoring, and metering. Cloud Native Deployment: Architect and manage CI/CD pipelines for public and private cloud environments (AWS, Azure, GCP). Production Readiness: Ensure agentic applications meet enterprise grade standards for security, reliability, and compliance. Team Leadership: Mentor and manage cross functional teams across DevOps, AI engineering, and client enablement. Client Enablement: Collaborate with solution architects to tailor deployments for client environments and ensure seamless onboarding. Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements. Job Qualifications Design and develop artificial intelligence AI and machine learning ML systems leveraging existing cloud AI services. Design and build scalable data pipelines to support model training and production with DevOpsMLOps. Customize and apply Deep Learning and Gen AI models for use cases based on business needs, data availability, system and infrastructure requirements including edge devices and High-Performance Computers HPCs. Justify the quality and value of the solution. Engage in research and development of new AI and high-performance computing algorithms, models, and simulations along with their applications to solve complex problems. Work with large scale datasets and utilize data preprocessing techniques to ensure high quality input for training and production. Implement and maintain efficient data storage and retrieval mechanisms for models and knowledge using appropriate tools. What's in it for you At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes 30 days' vacation per year, private medical insurance and 3 extra days leave per year for charitable work of your choice! Flexibility and mobility are required to deliver this role as there may be requirements to spend time onsite with our clients and partners to enable delivery of the first class services we are known for. Closing Date for Applications: 26/06/26 Accenture reserves the right to close the role prior to this date should a suitable applicant be found.
