Software Engineer Location: London, UK Length: 6 months Duration: 19/12/2025 - 19/06/2026 Rate: £52.40 per hour (Inside IR35) Hours: 40 hours per week Job Description The client is at the forefront of building products that facilitate connection, deliver cutting edge, wire free VR experiences, and advance the future of computing platforms. We are a team of global experts dedicated to developing and shipping products at the intersection of hardware, software, and content. As an OS Frameworks Engineer on the Reality Labs team, you will contribute to building innovative hardware and software that profoundly redefine how people work, play, and connect. What we create today has the potential to become the norm tomorrow. To be part of this team is to be at the heart of change and on the frontier of what's to come. While we may not have all the answers, together, we are making progress. Responsibilities Understand industry and Client-wide technology trends in computing technology to assess and develop new technologies within the Reality Labs roadmap. Enable teams to deliver best in class experiences for current and future products. Build on OS internals and set technical direction for significant improvements. Contribute towards building tools, system architecture, frameworks, and infrastructure for any of the following: operating systems, kernel development, low level debugging, system profiling, AOSP, performance profiling, that will impact VR and AR product lines. Collaborate with cross functional teams including product management, application software engineers, and partners to understand requirements, specify interfaces for new software frameworks, and enhance existing frameworks. Develop APIs in the system level framework layer that enable other layers of the stack to implement compelling and performant use cases. Uplift coding and design skills on the team through reviews and the introduction of best practices. Model desired behaviours through clean, readable code, upfront debug ability, and testability when implementing complex components. Effectively communicate complex features and systems in detail while advocating for higher product quality and engineering efficiency. Minimum Qualifications Bachelor's degree or equivalent experience in Computer Science, Computer Engineering, or a similar field. Experience with cross functional partnerships, working across functions to drive solutions. 6+ years of Software development experience. Extensive experience with Android (preferred), Linux, or MacOS internals or frameworks services. Alternatively, experience in developing embedded engineering solutions within a resource constrained environment. 3+ years of experience in developing any of the following: Operating Systems, AOSP, NDK, Device management on iOS/Android, Device Security, Android Enterprise. Experience with coding in both C++ and Java. Preferred Qualifications Extensive experience with any of the following: Android internals, AOSP, Android SDK, Android NDK, Android JNI, Android IPC mechanisms, Linux OS development. Experience with Android performance tools and security models. Experience developing software for Mobile platforms (Android/iOS). Experience with Android UI frameworks and services. Extensive experience with JUnit tests or any unit testing framework. The client builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it transformed the way people connect. Apps like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, the cllient is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.
Dec 16, 2025
Full time
Software Engineer Location: London, UK Length: 6 months Duration: 19/12/2025 - 19/06/2026 Rate: £52.40 per hour (Inside IR35) Hours: 40 hours per week Job Description The client is at the forefront of building products that facilitate connection, deliver cutting edge, wire free VR experiences, and advance the future of computing platforms. We are a team of global experts dedicated to developing and shipping products at the intersection of hardware, software, and content. As an OS Frameworks Engineer on the Reality Labs team, you will contribute to building innovative hardware and software that profoundly redefine how people work, play, and connect. What we create today has the potential to become the norm tomorrow. To be part of this team is to be at the heart of change and on the frontier of what's to come. While we may not have all the answers, together, we are making progress. Responsibilities Understand industry and Client-wide technology trends in computing technology to assess and develop new technologies within the Reality Labs roadmap. Enable teams to deliver best in class experiences for current and future products. Build on OS internals and set technical direction for significant improvements. Contribute towards building tools, system architecture, frameworks, and infrastructure for any of the following: operating systems, kernel development, low level debugging, system profiling, AOSP, performance profiling, that will impact VR and AR product lines. Collaborate with cross functional teams including product management, application software engineers, and partners to understand requirements, specify interfaces for new software frameworks, and enhance existing frameworks. Develop APIs in the system level framework layer that enable other layers of the stack to implement compelling and performant use cases. Uplift coding and design skills on the team through reviews and the introduction of best practices. Model desired behaviours through clean, readable code, upfront debug ability, and testability when implementing complex components. Effectively communicate complex features and systems in detail while advocating for higher product quality and engineering efficiency. Minimum Qualifications Bachelor's degree or equivalent experience in Computer Science, Computer Engineering, or a similar field. Experience with cross functional partnerships, working across functions to drive solutions. 6+ years of Software development experience. Extensive experience with Android (preferred), Linux, or MacOS internals or frameworks services. Alternatively, experience in developing embedded engineering solutions within a resource constrained environment. 3+ years of experience in developing any of the following: Operating Systems, AOSP, NDK, Device management on iOS/Android, Device Security, Android Enterprise. Experience with coding in both C++ and Java. Preferred Qualifications Extensive experience with any of the following: Android internals, AOSP, Android SDK, Android NDK, Android JNI, Android IPC mechanisms, Linux OS development. Experience with Android performance tools and security models. Experience developing software for Mobile platforms (Android/iOS). Experience with Android UI frameworks and services. Extensive experience with JUnit tests or any unit testing framework. The client builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it transformed the way people connect. Apps like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, the cllient is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.
The Onyx Research Data Tech organization represents a major investment by GSK R&D and Digital & Tech, designed to deliver a step-change in our ability to leverage data, knowledge, and prediction to find new medicines. We are a full stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next generation data experience for GSK's scientists, engineers, and decision makers, increasing productivity and reducing time spent on "data mechanics" Providing best in class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top tier talent Aggressively engineering our data at scale to unlock the value of our combined data assets and predictions in real time Onyx Product Management is at the heart of our mission, ensuring that everything from our infrastructure, to platforms, to end user facing data assets and environments is designed to maximize our impact on R&D. The Product Management team partners with R&D stakeholders and Onyx leadership to develop a strategic roadmap for all customer facing aspects of Onyx, including data assets, ontology, Knowledge Graph / semantic search, data / computing / analysis platforms, and data powered applications. We are seeking an experienced Senior Product Manager who will be accountable for designing and delivering the road map for molecule design products to support GSK Research and Development. This role will be pivotal in ensuring a cohesive enterprise level strategy towards molecule design solutions and will ensure our scientists have access to best in class technology products to improve research productivity and ultimately deliver new medicines for our patients. In this role you will: Own and lead the product roadmap, product development, launch and adoption of novel molecule design solutions to benefit the scientific community at GSK across multiple departments Play a key role in defining the strategic direction for molecule design tools with GenAI capabilities at the core Partner closely with the wider Onyx tech team, as well as R&D scientists and leaders, to deliver industry leading cloud based products and solutions with GenAI and agentic capabilities. Key Responsibilities: Product Strategy and Roadmap: Develop and execute a comprehensive product strategy and roadmap for molecule design solutions and tools, aligned with the Onyx's overall product vision and objectives. Customer Understanding: Conduct in depth customer research, gather customer insights, and engage with customers regularly to understand emerging requirements. Product Planning and Definition: Collaborate with stakeholders to define product requirements, features, and specifications based on customer feedback, product vision, and business goals. Agile Product Development: Work closely with portfolio and engineering teams in an agile environment to ensure successful and timely delivery of product releases, including prioritization, sprint planning, and backlog management. GenAI Product and Capability Upgrade: Spearhead the development of a new class of AI Agents, powered by LLMs and Generative AI, designed to autonomously execute complex scientific research tasks like hypothesis generation, experimental design, and data interpretation. Design and productize the human agent interaction layer, moving beyond traditional UIs to create conversational and goal driven interfaces that allow scientists to delegate multi step tasks and interpret the outputs of autonomous GenAI systems. Own the product lifecycle for models and agents, leading the strategy for data acquisition, model fine tuning, and the development of APIs/agents that allow them to be leveraged as "tools" by other agents and systems. Model In The Loop Design: Structuring products so that R&D users can easily challenge, verify, and provide feedback to improve the agentic tools and underlying models (human guided iteration). Demonstrate Human + AI collaboration with minimum friction to drive user adoption. Lead highly technical product discussions with engineering leaders, translating ambiguous scientific objectives into precise requirements for fine tuning foundational models, vector databases, and multi agent system architectures. Cross Functional Collaboration: Collaborate with both tech and RD teams, including DevOps & Infrastructure, data engineering, computing platform engineering, data & knowledge platform engineering, program management teams and RD data leadership teams, to align product strategies, gather input, and drive successful implementation plans. Product Launch and Adoption: Lead product launches, ensuring effective communication, training, and support materials to drive successful product adoption and customer satisfaction. Product Performance and Optimization: Continuously monitor product performance, collect and analyze data, and drive iterative improvements to enhance product usability, performance, and customer experience. Why you? Qualifications & Skills: Bachelors degree in Bioinformatics, Computational Biology, cheminformatics, AI/ML, Computer Science, Software Engineering, or related discipline. Significant experience in product management with a proven track record of shipping 0 to 1 software products powered by AI/GenAI, LLMs, or autonomous agents in a commercial or large scale enterprise setting. Demonstrated experience defining product strategy for modern applications, including hands on experience with technologies core to AI systems such as vector databases, MLOps, retrieval augmented generation, and model fine tuning. Direct product management experience designing and launching AI agents that can utilize tools (APIs, function calling) to perform complex, multi step actions and reason about their environment. Deep technical fluency with cloud native architectures (e.g., AWS, GCP, Azure), API design, and the infrastructure required to serve and scale LLM based applications Preferred Qualifications & Skills: Master's degree or PhD in Bioinformatics, Computational Biology, Computational Chemistry, Data Science, Computer Science/Software Engineering, Cloud Computing or related discipline. Hands on software engineering or data science experience in a GenAI focused team prior to transitioning into product management. Familiarity with the architecture of modern transformer based models and the strategic product trade offs between using proprietary models (e.g., GPT 4, Claude), open source models (e.g., Llama, Mistral), and fine tuning custom models. Experience building products that manage or interpret complex, unstructured biomedical data. Extensive knowledge of bioinformatics, computational biology, or cheminformatics, and a strong vision for how agentic AI can revolutionize the drug discovery process. Extensive product experience designing, optimizing, and implementing Model Context Protocols (MCP) for LLM powered agents, including advanced strategies for prompt engineering, context window management, memory architectures (e.g., short term, long term memory), and ensuring model coherence over extended multi turn interactions. Hands on experience with product management tools such as Confluence, Jira, Miro, Monday, Notion, etc. Previous experience in life science industry or biopharma R&D is a plus. Closing Date for Applications Closing Date for Applications: Tuesday 6th January 2026 (COB) Please note:As we approach the holiday season, our recruitment team and hiring managers will have limited availability between now and early January. We encourage you to apply and will review all applications, however response times may be longer than usual, and interviews may be scheduled after the New Year. We appreciate your understanding and look forward to connecting soon! Please take a copy of the Job Description, as this will not be available post closure of the advert. When applying for this role, please use the cover letter of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application. During the course of your application, you will be requested to complete voluntary information which will be used in monitoring the effectiveness of our equality and diversity policies. Your information will be treated as confidential and will not be used in any part of the selection process. If you require a reasonable adjustment to the application / selection process to enable you to demonstrate your ability to perform the job requirements, please contact . This will help us to understand any modifications we may need to make to support you throughout our selection process. GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. We believe in an agile working culture for all our roles. If flexibility is important to you . click apply for full job details
Dec 16, 2025
Full time
The Onyx Research Data Tech organization represents a major investment by GSK R&D and Digital & Tech, designed to deliver a step-change in our ability to leverage data, knowledge, and prediction to find new medicines. We are a full stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next generation data experience for GSK's scientists, engineers, and decision makers, increasing productivity and reducing time spent on "data mechanics" Providing best in class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top tier talent Aggressively engineering our data at scale to unlock the value of our combined data assets and predictions in real time Onyx Product Management is at the heart of our mission, ensuring that everything from our infrastructure, to platforms, to end user facing data assets and environments is designed to maximize our impact on R&D. The Product Management team partners with R&D stakeholders and Onyx leadership to develop a strategic roadmap for all customer facing aspects of Onyx, including data assets, ontology, Knowledge Graph / semantic search, data / computing / analysis platforms, and data powered applications. We are seeking an experienced Senior Product Manager who will be accountable for designing and delivering the road map for molecule design products to support GSK Research and Development. This role will be pivotal in ensuring a cohesive enterprise level strategy towards molecule design solutions and will ensure our scientists have access to best in class technology products to improve research productivity and ultimately deliver new medicines for our patients. In this role you will: Own and lead the product roadmap, product development, launch and adoption of novel molecule design solutions to benefit the scientific community at GSK across multiple departments Play a key role in defining the strategic direction for molecule design tools with GenAI capabilities at the core Partner closely with the wider Onyx tech team, as well as R&D scientists and leaders, to deliver industry leading cloud based products and solutions with GenAI and agentic capabilities. Key Responsibilities: Product Strategy and Roadmap: Develop and execute a comprehensive product strategy and roadmap for molecule design solutions and tools, aligned with the Onyx's overall product vision and objectives. Customer Understanding: Conduct in depth customer research, gather customer insights, and engage with customers regularly to understand emerging requirements. Product Planning and Definition: Collaborate with stakeholders to define product requirements, features, and specifications based on customer feedback, product vision, and business goals. Agile Product Development: Work closely with portfolio and engineering teams in an agile environment to ensure successful and timely delivery of product releases, including prioritization, sprint planning, and backlog management. GenAI Product and Capability Upgrade: Spearhead the development of a new class of AI Agents, powered by LLMs and Generative AI, designed to autonomously execute complex scientific research tasks like hypothesis generation, experimental design, and data interpretation. Design and productize the human agent interaction layer, moving beyond traditional UIs to create conversational and goal driven interfaces that allow scientists to delegate multi step tasks and interpret the outputs of autonomous GenAI systems. Own the product lifecycle for models and agents, leading the strategy for data acquisition, model fine tuning, and the development of APIs/agents that allow them to be leveraged as "tools" by other agents and systems. Model In The Loop Design: Structuring products so that R&D users can easily challenge, verify, and provide feedback to improve the agentic tools and underlying models (human guided iteration). Demonstrate Human + AI collaboration with minimum friction to drive user adoption. Lead highly technical product discussions with engineering leaders, translating ambiguous scientific objectives into precise requirements for fine tuning foundational models, vector databases, and multi agent system architectures. Cross Functional Collaboration: Collaborate with both tech and RD teams, including DevOps & Infrastructure, data engineering, computing platform engineering, data & knowledge platform engineering, program management teams and RD data leadership teams, to align product strategies, gather input, and drive successful implementation plans. Product Launch and Adoption: Lead product launches, ensuring effective communication, training, and support materials to drive successful product adoption and customer satisfaction. Product Performance and Optimization: Continuously monitor product performance, collect and analyze data, and drive iterative improvements to enhance product usability, performance, and customer experience. Why you? Qualifications & Skills: Bachelors degree in Bioinformatics, Computational Biology, cheminformatics, AI/ML, Computer Science, Software Engineering, or related discipline. Significant experience in product management with a proven track record of shipping 0 to 1 software products powered by AI/GenAI, LLMs, or autonomous agents in a commercial or large scale enterprise setting. Demonstrated experience defining product strategy for modern applications, including hands on experience with technologies core to AI systems such as vector databases, MLOps, retrieval augmented generation, and model fine tuning. Direct product management experience designing and launching AI agents that can utilize tools (APIs, function calling) to perform complex, multi step actions and reason about their environment. Deep technical fluency with cloud native architectures (e.g., AWS, GCP, Azure), API design, and the infrastructure required to serve and scale LLM based applications Preferred Qualifications & Skills: Master's degree or PhD in Bioinformatics, Computational Biology, Computational Chemistry, Data Science, Computer Science/Software Engineering, Cloud Computing or related discipline. Hands on software engineering or data science experience in a GenAI focused team prior to transitioning into product management. Familiarity with the architecture of modern transformer based models and the strategic product trade offs between using proprietary models (e.g., GPT 4, Claude), open source models (e.g., Llama, Mistral), and fine tuning custom models. Experience building products that manage or interpret complex, unstructured biomedical data. Extensive knowledge of bioinformatics, computational biology, or cheminformatics, and a strong vision for how agentic AI can revolutionize the drug discovery process. Extensive product experience designing, optimizing, and implementing Model Context Protocols (MCP) for LLM powered agents, including advanced strategies for prompt engineering, context window management, memory architectures (e.g., short term, long term memory), and ensuring model coherence over extended multi turn interactions. Hands on experience with product management tools such as Confluence, Jira, Miro, Monday, Notion, etc. Previous experience in life science industry or biopharma R&D is a plus. Closing Date for Applications Closing Date for Applications: Tuesday 6th January 2026 (COB) Please note:As we approach the holiday season, our recruitment team and hiring managers will have limited availability between now and early January. We encourage you to apply and will review all applications, however response times may be longer than usual, and interviews may be scheduled after the New Year. We appreciate your understanding and look forward to connecting soon! Please take a copy of the Job Description, as this will not be available post closure of the advert. When applying for this role, please use the cover letter of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application. During the course of your application, you will be requested to complete voluntary information which will be used in monitoring the effectiveness of our equality and diversity policies. Your information will be treated as confidential and will not be used in any part of the selection process. If you require a reasonable adjustment to the application / selection process to enable you to demonstrate your ability to perform the job requirements, please contact . This will help us to understand any modifications we may need to make to support you throughout our selection process. GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. We believe in an agile working culture for all our roles. If flexibility is important to you . click apply for full job details
About the role We are looking for a Senior Machine Learning Engineer to join our AI team and help us build cutting edge legal solutions for some of the world's largest law firms. In this role, you will leverage your deep expertise in machine learning, natural language processing, and large language model (LLM) agents to push the boundaries of legal technology. You'll be collaborating closely with data scientists, software engineers, and product managers to integrate advanced NLP techniques into our products. What You'll Do Innovative NLP Research: Research, evaluate, and implement state of the art NLP methodologies and large language model approaches to drive product innovation and develop new functionalities. LLM Agents & Multi Agent Systems: Design, develop, and deploy LLM agents and multi agent systems to automate complex legal workflows and enhance user experiences. Advanced Technology Integration: Collaborate on projects that leverage emerging technologies - such as Retrieval Augmented Generation (RAG) and Knowledge Graphs - to enhance our core product and explore new use cases. Cross Functional Collaboration: Work closely with cross functional teams to integrate advanced ML models and NLP solutions into our platform, ensuring they align with business objectives and provide tangible value. Strategic Innovation: Stay current with the latest trends and breakthroughs in NLP, machine learning, and multi agent systems, and contribute ideas that shape the strategic direction of our AI initiatives. About You Machine Learning & NLP Expertise: Strong understanding of machine learning and natural language processing with relevant commercial experience in building and deploying NLP solutions. Cloud & Containerization Skills: Experience with the AWS cloud platform and containerization technologies (e.g., Docker, Kubernetes). Collaboration & Communication: Strong collaboration and communication skills to work effectively with cross functional teams and articulate technical concepts to non technical stakeholders. Proactivity & Continuous Improvement: Proactive in identifying problems, performance bottlenecks, and areas for improvement while taking pride in building and operating scalable, reliable, and secure systems. LLM Agents & Multi Agent Systems: Proven experience in designing, deploying, and scaling large language model (LLM) agents and multi agent systems to enhance NLP capabilities and automate complex workflows. Nice to have: Experience with knowledge graphs like Neo4j Experience in optimising graph database performance and ensuring the scalability of graph based solutions. Experience with LangGraph for Agentic Systems Most importantly, if you're someone with a can do attitude who is willing to get their hands dirty to help us exceed our wildest expectations, then please do not hesitate to apply. What we offer Competitive Salary We offer a highly competitive salary that reflects your skills, experience, and contributions. Impact & Growth Join a fast growing startup where your ideas matter; experiment, innovate, and see your work come to life. High Performance Culture Work in a truly meritocratic environment alongside ambitious, driven professionals who push each other to excel. Prestigious Partnerships Collaborate with some of the world's top law firms, financial institutions, and multinational corporations. Prime London Location & Hybrid Flexibility Enjoy a vibrant office in the heart of Aldgate with the option to work in a hybrid environment. We tend to come into the office 2 3 times a week, although you can come in more! Ongoing Learning & Development Access top tier training, mentorship, and continuous support to advance your career. Time Off Enjoy 25 days of holiday per year, plus UK bank holidays, to recharge and unwind. Pension Plan Secure your future with our competitive pension scheme. Private Healthcare Access to Vitality healthcare, including dental and optical. Flexible Working Work in a way that suits your lifestyle, with the freedom to balance professional and personal priorities. Enhanced Parental Leave We support working parents with generous parental leave policies that go far beyond statutory requirements. Cycle to Work Scheme Save on a new bike and accessories while promoting a healthier, more sustainable commute. Workplace Nursery Scheme Saving working parents lots of money through our salary sacrifice scheme! Top Quality Equipment Get the tools you need to perform at your best, from cutting edge tech to ergonomic office setups. About Definely Named in the top 25 of the prestigious Deloitte UK Technology Fast50 in 2023, as well as the EMEA Technology Fast 500, Definely is a fast growing, venture backed company transforming the $900bn global legal services market. Our customers include some of the world's top law firms, financial institutions, and multinational corporations such as Allen & Overy, Dentons, and Deloitte. We are backed by prominent investors and VCs, including Octopus Ventures, Raine Ventures, Microsoft, Google for Startups, and Nick Jenkins (founder of Moonpig and former Dragon). By submitting your application, you agree that DEFEYENE LEGAL SOLUTIONS LIMITED ("Definely") may collect, process, and store your personal data as part of our recruitment process. We will use the information you provide to assess your qualifications for the role you are applying for and to communicate with you regarding your application. Your personal data will be stored for up to 12 months, after which it will be securely deleted unless we have another lawful basis to retain it. You have the right to access, correct, or request the deletion of your data at any time. For more details on how we handle your personal data and your rights, please send us an email to and we will send you our privacy policy. If you have any concerns about how your data is being processed, please do not hesitate to contact us.
Dec 16, 2025
Full time
About the role We are looking for a Senior Machine Learning Engineer to join our AI team and help us build cutting edge legal solutions for some of the world's largest law firms. In this role, you will leverage your deep expertise in machine learning, natural language processing, and large language model (LLM) agents to push the boundaries of legal technology. You'll be collaborating closely with data scientists, software engineers, and product managers to integrate advanced NLP techniques into our products. What You'll Do Innovative NLP Research: Research, evaluate, and implement state of the art NLP methodologies and large language model approaches to drive product innovation and develop new functionalities. LLM Agents & Multi Agent Systems: Design, develop, and deploy LLM agents and multi agent systems to automate complex legal workflows and enhance user experiences. Advanced Technology Integration: Collaborate on projects that leverage emerging technologies - such as Retrieval Augmented Generation (RAG) and Knowledge Graphs - to enhance our core product and explore new use cases. Cross Functional Collaboration: Work closely with cross functional teams to integrate advanced ML models and NLP solutions into our platform, ensuring they align with business objectives and provide tangible value. Strategic Innovation: Stay current with the latest trends and breakthroughs in NLP, machine learning, and multi agent systems, and contribute ideas that shape the strategic direction of our AI initiatives. About You Machine Learning & NLP Expertise: Strong understanding of machine learning and natural language processing with relevant commercial experience in building and deploying NLP solutions. Cloud & Containerization Skills: Experience with the AWS cloud platform and containerization technologies (e.g., Docker, Kubernetes). Collaboration & Communication: Strong collaboration and communication skills to work effectively with cross functional teams and articulate technical concepts to non technical stakeholders. Proactivity & Continuous Improvement: Proactive in identifying problems, performance bottlenecks, and areas for improvement while taking pride in building and operating scalable, reliable, and secure systems. LLM Agents & Multi Agent Systems: Proven experience in designing, deploying, and scaling large language model (LLM) agents and multi agent systems to enhance NLP capabilities and automate complex workflows. Nice to have: Experience with knowledge graphs like Neo4j Experience in optimising graph database performance and ensuring the scalability of graph based solutions. Experience with LangGraph for Agentic Systems Most importantly, if you're someone with a can do attitude who is willing to get their hands dirty to help us exceed our wildest expectations, then please do not hesitate to apply. What we offer Competitive Salary We offer a highly competitive salary that reflects your skills, experience, and contributions. Impact & Growth Join a fast growing startup where your ideas matter; experiment, innovate, and see your work come to life. High Performance Culture Work in a truly meritocratic environment alongside ambitious, driven professionals who push each other to excel. Prestigious Partnerships Collaborate with some of the world's top law firms, financial institutions, and multinational corporations. Prime London Location & Hybrid Flexibility Enjoy a vibrant office in the heart of Aldgate with the option to work in a hybrid environment. We tend to come into the office 2 3 times a week, although you can come in more! Ongoing Learning & Development Access top tier training, mentorship, and continuous support to advance your career. Time Off Enjoy 25 days of holiday per year, plus UK bank holidays, to recharge and unwind. Pension Plan Secure your future with our competitive pension scheme. Private Healthcare Access to Vitality healthcare, including dental and optical. Flexible Working Work in a way that suits your lifestyle, with the freedom to balance professional and personal priorities. Enhanced Parental Leave We support working parents with generous parental leave policies that go far beyond statutory requirements. Cycle to Work Scheme Save on a new bike and accessories while promoting a healthier, more sustainable commute. Workplace Nursery Scheme Saving working parents lots of money through our salary sacrifice scheme! Top Quality Equipment Get the tools you need to perform at your best, from cutting edge tech to ergonomic office setups. About Definely Named in the top 25 of the prestigious Deloitte UK Technology Fast50 in 2023, as well as the EMEA Technology Fast 500, Definely is a fast growing, venture backed company transforming the $900bn global legal services market. Our customers include some of the world's top law firms, financial institutions, and multinational corporations such as Allen & Overy, Dentons, and Deloitte. We are backed by prominent investors and VCs, including Octopus Ventures, Raine Ventures, Microsoft, Google for Startups, and Nick Jenkins (founder of Moonpig and former Dragon). By submitting your application, you agree that DEFEYENE LEGAL SOLUTIONS LIMITED ("Definely") may collect, process, and store your personal data as part of our recruitment process. We will use the information you provide to assess your qualifications for the role you are applying for and to communicate with you regarding your application. Your personal data will be stored for up to 12 months, after which it will be securely deleted unless we have another lawful basis to retain it. You have the right to access, correct, or request the deletion of your data at any time. For more details on how we handle your personal data and your rights, please send us an email to and we will send you our privacy policy. If you have any concerns about how your data is being processed, please do not hesitate to contact us.
Overview Prolific is not just another player in the AI space - we are the architects of the human data infrastructure that reshapes AI development. In a world where foundational AI technologies are increasingly commoditized, the quality and diversity of human-generated data differentiate products and models. The future of AI development relies on a critical, indispensable component: high-quality human data. Prolific provides the world's largest and most trusted source of this data to teams pushing the boundaries of AI technology. As an AI Engineer, you will build intelligent systems that power the interface between humans and models, shaping how next-generation AI systems are trained, evaluated, and aligned. This is a unique opportunity to solve novel problems and have a foundational impact on the entire AI ecosystem, working with a world-class team and the industry's leading AI labs. The Role Responsibilities and expectations are centered on developing production-grade AI systems that enhance how human feedback is collected, validated, and utilized across our platform. Responsibilities Architect & Build: Lead the design and implementation of production-grade AI systems that enhance how human feedback is collected, validated, and utilised across our platform. Solve Core Challenges: Develop systems for fraud detection, quality assurance, and intelligent participant-to-task matching using techniques like vector search and advanced profile representation. Innovate with LLMs: Create and deploy AI agents and systems with immediate product impact-from basic automated data tagging to advanced features like LLM-based evaluation judges, including ideas like synthetic personas. Drive Technical Strategy: Provide technical leadership and mentorship on applying AI/LLM techniques, defining best practices for prompt engineering, fine-tuning, and retrieval-augmented generation (RAG). Ensure Reliability: Implement and own LLM observability and evaluation systems to ensure AI features are reliable, performant, and continuously improving. Collaborate Cross-Functionally: Work with data scientists, platform engineers, and research teams to build cohesive, end-to-end solutions that advance human-AI interaction. Qualifications Core Requirements: A strong track record of designing, building, and shipping AI-powered features that solve real business problems. An inquisitive and experimental mindset with a passion for tackling ambiguous problems without established solutions. Deep practical knowledge of the modern AI engineering stack (e.g., RAG, vector databases, prompt engineering, fine-tuning techniques, evaluation frameworks). The ability to balance cutting-edge research with production reliability and scalability. Deep expertise in one or both of the following areas: Software Engineering & Systems Design: Proficiency in Python and building scalable services (e.g., FastAPI, Django). Strong command of system design, infrastructure, and CI/CD; capable of taking a feature from concept to deployment. Machine Learning Engineering & Research: Solid ML background with experience in ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) and understanding of the theory behind models and techniques used. Bonus Points Experience with modern LLM orchestration frameworks (e.g., LangChain, LlamaIndex, DSPy, LangGraph). Experience in agentic system design and tool calling (Adk, A2A, MCP, etc.). Prior work on human-in-the-loop systems, data annotation platforms, or RLHF. Interest or experience in synthetic data, human-in-the-loop systems, or AI alignment. Experience building robust monitoring and observability for AI/ML systems in production. Why Prolific is a great place to work We've built a platform that connects researchers and companies with a global pool of participants to collect high-quality, ethically sourced human data and feedback. This data underpins more accurate, nuanced, and aligned AI systems. We believe the next leap in AI capabilities will come from integrating diverse human perspectives and behaviors into AI development. By providing this crucial human data infrastructure, Prolific positions itself at the forefront of the next wave of AI innovation that reflects the breadth of humanity. Joining us places you at the forefront of AI innovation, with access to our unique human data platform and opportunities for groundbreaking research. We offer a competitive salary, benefits, and remote work within a mission-driven environment. Privacy and Legal By submitting your application, you agree that Prolific may collect your personal data for recruitment and organizational planning. Prolific's Candidate Privacy Notice explains what information may be processed, where, purposes for processing, and your rights over your data.
Dec 16, 2025
Full time
Overview Prolific is not just another player in the AI space - we are the architects of the human data infrastructure that reshapes AI development. In a world where foundational AI technologies are increasingly commoditized, the quality and diversity of human-generated data differentiate products and models. The future of AI development relies on a critical, indispensable component: high-quality human data. Prolific provides the world's largest and most trusted source of this data to teams pushing the boundaries of AI technology. As an AI Engineer, you will build intelligent systems that power the interface between humans and models, shaping how next-generation AI systems are trained, evaluated, and aligned. This is a unique opportunity to solve novel problems and have a foundational impact on the entire AI ecosystem, working with a world-class team and the industry's leading AI labs. The Role Responsibilities and expectations are centered on developing production-grade AI systems that enhance how human feedback is collected, validated, and utilized across our platform. Responsibilities Architect & Build: Lead the design and implementation of production-grade AI systems that enhance how human feedback is collected, validated, and utilised across our platform. Solve Core Challenges: Develop systems for fraud detection, quality assurance, and intelligent participant-to-task matching using techniques like vector search and advanced profile representation. Innovate with LLMs: Create and deploy AI agents and systems with immediate product impact-from basic automated data tagging to advanced features like LLM-based evaluation judges, including ideas like synthetic personas. Drive Technical Strategy: Provide technical leadership and mentorship on applying AI/LLM techniques, defining best practices for prompt engineering, fine-tuning, and retrieval-augmented generation (RAG). Ensure Reliability: Implement and own LLM observability and evaluation systems to ensure AI features are reliable, performant, and continuously improving. Collaborate Cross-Functionally: Work with data scientists, platform engineers, and research teams to build cohesive, end-to-end solutions that advance human-AI interaction. Qualifications Core Requirements: A strong track record of designing, building, and shipping AI-powered features that solve real business problems. An inquisitive and experimental mindset with a passion for tackling ambiguous problems without established solutions. Deep practical knowledge of the modern AI engineering stack (e.g., RAG, vector databases, prompt engineering, fine-tuning techniques, evaluation frameworks). The ability to balance cutting-edge research with production reliability and scalability. Deep expertise in one or both of the following areas: Software Engineering & Systems Design: Proficiency in Python and building scalable services (e.g., FastAPI, Django). Strong command of system design, infrastructure, and CI/CD; capable of taking a feature from concept to deployment. Machine Learning Engineering & Research: Solid ML background with experience in ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) and understanding of the theory behind models and techniques used. Bonus Points Experience with modern LLM orchestration frameworks (e.g., LangChain, LlamaIndex, DSPy, LangGraph). Experience in agentic system design and tool calling (Adk, A2A, MCP, etc.). Prior work on human-in-the-loop systems, data annotation platforms, or RLHF. Interest or experience in synthetic data, human-in-the-loop systems, or AI alignment. Experience building robust monitoring and observability for AI/ML systems in production. Why Prolific is a great place to work We've built a platform that connects researchers and companies with a global pool of participants to collect high-quality, ethically sourced human data and feedback. This data underpins more accurate, nuanced, and aligned AI systems. We believe the next leap in AI capabilities will come from integrating diverse human perspectives and behaviors into AI development. By providing this crucial human data infrastructure, Prolific positions itself at the forefront of the next wave of AI innovation that reflects the breadth of humanity. Joining us places you at the forefront of AI innovation, with access to our unique human data platform and opportunities for groundbreaking research. We offer a competitive salary, benefits, and remote work within a mission-driven environment. Privacy and Legal By submitting your application, you agree that Prolific may collect your personal data for recruitment and organizational planning. Prolific's Candidate Privacy Notice explains what information may be processed, where, purposes for processing, and your rights over your data.
NPI Engineer page is loaded NPI Engineerlocations: Abingdon - 141 Park Drivetime type: Full timeposted on: Posted Todayjob requisition id: Ris a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company's three core products are , a visual messaging app that enhances your relationships with friends, family, and the world; , an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, .The Spectacles team is pushing the boundaries of technology to bring people closer together in the real world. Our fifth-generation Spectacles, powered by Snap OS, showcase how standalone, see-through AR glasses make playing, learning, and working better together.We're looking for an NPI Engineer to join the Optical Engine Delivery Team at Snap Inc! What you'll do: The Optical Engine (OE) Delivery Team is responsible for the early prototyping of opto-mechanical designs, characterisation and transfer to manufacture of Snap's AR display platform. The team delivers high-quality processes, instrumentation and analysis to characterise and develop the next generation of AR products. The team works with third party contract manufacturers to deliver OE's in volume. You will: Help transfer designs and process' to CM's & manufacturing partners Understand the mechanical design and manufacturing processes. Analyse incoming component and sub-assembly data from component supplier contract manufacturer, and provide expertise to understand component and sub-assembly performance (e.g., dimensional). Provide support with failure analysis including metrology and running DOE's. Support process development (optimising for yield, CT, etc ) Knowledge, Skills & Abilities: Mechanical engineering experience with a focus on metrology (including CMM and CT) Ability to work in a dynamic environment with fast changing needs and priorities Running analysis of mechanical designs (e.g., running DOE's) Minimum Qualifications: Extensive experience in mechanical engineering or other relevant engineering experience. Experience with transferring mechanical designs to production Experience with CAD design software (eg: NX,Solidworks) Experience operating CMM and CT scanners Preferred Qualifications: Experience with opto-mechanical systems Understanding of manufacturing processes Experience with mechanical design and rapid prototyping of jigs and fixtures Experience in AR/VR systems Experience with small highly toleranced components and assemblies Software experience (eg: Python)If you have a disability or special need that requires accommodation, please don't be shy and provide us some ."Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a "default together" approach and expect our team members to work in an office 4+ days per week. At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.: Snap Inc. is its own community, so we've got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap's long-term success!
Dec 16, 2025
Full time
NPI Engineer page is loaded NPI Engineerlocations: Abingdon - 141 Park Drivetime type: Full timeposted on: Posted Todayjob requisition id: Ris a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company's three core products are , a visual messaging app that enhances your relationships with friends, family, and the world; , an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, .The Spectacles team is pushing the boundaries of technology to bring people closer together in the real world. Our fifth-generation Spectacles, powered by Snap OS, showcase how standalone, see-through AR glasses make playing, learning, and working better together.We're looking for an NPI Engineer to join the Optical Engine Delivery Team at Snap Inc! What you'll do: The Optical Engine (OE) Delivery Team is responsible for the early prototyping of opto-mechanical designs, characterisation and transfer to manufacture of Snap's AR display platform. The team delivers high-quality processes, instrumentation and analysis to characterise and develop the next generation of AR products. The team works with third party contract manufacturers to deliver OE's in volume. You will: Help transfer designs and process' to CM's & manufacturing partners Understand the mechanical design and manufacturing processes. Analyse incoming component and sub-assembly data from component supplier contract manufacturer, and provide expertise to understand component and sub-assembly performance (e.g., dimensional). Provide support with failure analysis including metrology and running DOE's. Support process development (optimising for yield, CT, etc ) Knowledge, Skills & Abilities: Mechanical engineering experience with a focus on metrology (including CMM and CT) Ability to work in a dynamic environment with fast changing needs and priorities Running analysis of mechanical designs (e.g., running DOE's) Minimum Qualifications: Extensive experience in mechanical engineering or other relevant engineering experience. Experience with transferring mechanical designs to production Experience with CAD design software (eg: NX,Solidworks) Experience operating CMM and CT scanners Preferred Qualifications: Experience with opto-mechanical systems Understanding of manufacturing processes Experience with mechanical design and rapid prototyping of jigs and fixtures Experience in AR/VR systems Experience with small highly toleranced components and assemblies Software experience (eg: Python)If you have a disability or special need that requires accommodation, please don't be shy and provide us some ."Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a "default together" approach and expect our team members to work in an office 4+ days per week. At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.: Snap Inc. is its own community, so we've got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap's long-term success!
About Nevis Nevis is building the world's first AI wealth management platform. We are building the system financial advisors will run on for the next decade. Our AI completes work, automates workflows end to end, and frees advisors to spend more time with clients. In the future, every wealth management firm will run on Nevis. Nevis was founded by an exceptional team of ex-Revolut executives and has raised a total of $40 million from world leading investors including Sequoia Capital, ICONIQ and Ribbit. The Role We are looking for an exceptional Software Engineer (Python) to help build the AI platform that powers intelligent workflows for the world's top financial firms. In this role, you will design and implement the Python systems, services, and orchestration layers that accelerate AI development across Nevis. You'll work across applied AI, data pipelines, model execution frameworks, agentic systems, retrieval infrastructure, and backend components that support our AI products. You'll thrive here if you love building production-grade AI platforms, care about performance and reliability, and want to work on systems that move from idea to production in days. You'll be joining a world-class engineering team with deep experience building AI systems at scale. What You'll Do Build and evolve Nevis' Python-based AI platform, powering core workflows and agentic automation. Develop model orchestration, data processing pipelines, retrieval systems, and execution runtimes for applied AI features. Create scalable APIs, services, and internal tools enabling rapid development, evaluation, and deployment of AI systems. Architect robust systems for model inference, prompt execution, vector retrieval, and multi-step agent reasoning. Maintain high engineering standards through clean code, testing, observability, and CI/CD. Collaborate closely with AI engineers, product managers, and designers to ship features used by thousands of clients. Own greenfield AI platform components from architecture through production rollout. Participate in design reviews, code reviews, and technical debates that shape the future of Nevis' technical direction. Who You Are 4+ years of experience in Python engineering, ideally building AI platforms, ML infrastructure, or applied AI products. Deep expertise in Python, asynchronous programming, system design, and backend engineering fundamentals. Hands-on experience building production systems involving: LLM orchestration or agent frameworks (Pydantic, LangChain, custom orchestration). Data pipelines, ETL, embeddings, or vector search Retrieval-augmented generation (RAG) or model-backed workflows High-performance APIs and distributed services Strong understanding of modern cloud environments (AWS preferred). Solid foundation in computer science, distributed systems, or related fields. Fast learner with a bias for action and a strong ownership mindset. Excellent communication and collaboration skills. Comfortable operating in a fast-paced, high-growth environment. Nice to Have Experience shipping applied AI or ML-powered products in production. Knowledge of vector databases, feature stores, or streaming systems. Background in fintech, financial services, wealth management, or startups. Why Join Nevis? Work alongside a world-class founding team backed by Sequoia, ICONIQ, and Ribbit. Build core systems at a hyper-growth AI startup redefining wealth management. Fast-paced environment with huge scope for ownership, impact, and career growth. Mission-driven culture with global industry-changing potential. 25 days' annual leave. Private medical insurance. Competitive salary and benefits, including company equity.
Dec 16, 2025
Full time
About Nevis Nevis is building the world's first AI wealth management platform. We are building the system financial advisors will run on for the next decade. Our AI completes work, automates workflows end to end, and frees advisors to spend more time with clients. In the future, every wealth management firm will run on Nevis. Nevis was founded by an exceptional team of ex-Revolut executives and has raised a total of $40 million from world leading investors including Sequoia Capital, ICONIQ and Ribbit. The Role We are looking for an exceptional Software Engineer (Python) to help build the AI platform that powers intelligent workflows for the world's top financial firms. In this role, you will design and implement the Python systems, services, and orchestration layers that accelerate AI development across Nevis. You'll work across applied AI, data pipelines, model execution frameworks, agentic systems, retrieval infrastructure, and backend components that support our AI products. You'll thrive here if you love building production-grade AI platforms, care about performance and reliability, and want to work on systems that move from idea to production in days. You'll be joining a world-class engineering team with deep experience building AI systems at scale. What You'll Do Build and evolve Nevis' Python-based AI platform, powering core workflows and agentic automation. Develop model orchestration, data processing pipelines, retrieval systems, and execution runtimes for applied AI features. Create scalable APIs, services, and internal tools enabling rapid development, evaluation, and deployment of AI systems. Architect robust systems for model inference, prompt execution, vector retrieval, and multi-step agent reasoning. Maintain high engineering standards through clean code, testing, observability, and CI/CD. Collaborate closely with AI engineers, product managers, and designers to ship features used by thousands of clients. Own greenfield AI platform components from architecture through production rollout. Participate in design reviews, code reviews, and technical debates that shape the future of Nevis' technical direction. Who You Are 4+ years of experience in Python engineering, ideally building AI platforms, ML infrastructure, or applied AI products. Deep expertise in Python, asynchronous programming, system design, and backend engineering fundamentals. Hands-on experience building production systems involving: LLM orchestration or agent frameworks (Pydantic, LangChain, custom orchestration). Data pipelines, ETL, embeddings, or vector search Retrieval-augmented generation (RAG) or model-backed workflows High-performance APIs and distributed services Strong understanding of modern cloud environments (AWS preferred). Solid foundation in computer science, distributed systems, or related fields. Fast learner with a bias for action and a strong ownership mindset. Excellent communication and collaboration skills. Comfortable operating in a fast-paced, high-growth environment. Nice to Have Experience shipping applied AI or ML-powered products in production. Knowledge of vector databases, feature stores, or streaming systems. Background in fintech, financial services, wealth management, or startups. Why Join Nevis? Work alongside a world-class founding team backed by Sequoia, ICONIQ, and Ribbit. Build core systems at a hyper-growth AI startup redefining wealth management. Fast-paced environment with huge scope for ownership, impact, and career growth. Mission-driven culture with global industry-changing potential. 25 days' annual leave. Private medical insurance. Competitive salary and benefits, including company equity.
NPI Engineer page is loaded NPI Engineerlocations: Abingdon - 141 Park Drivetime type: Full timeposted on: Posted Todayjob requisition id: Ris a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company's three core products are , a visual messaging app that enhances your relationships with friends, family, and the world; , an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, .The Spectacles team is pushing the boundaries of technology to bring people closer together in the real world. Our fifth-generation Spectacles, powered by Snap OS, showcase how standalone, see-through AR glasses make playing, learning, and working better together.We're looking for an NPI Engineer to join the Optical Engine Delivery Team at Snap Inc! What you'll do: The Optical Engine (OE) Delivery Team is responsible for the early prototyping of opto-mechanical designs, characterisation and transfer to manufacture of Snap's AR display platform. The team delivers high-quality processes, instrumentation and analysis to characterise and develop the next generation of AR products. The team works with third party contract manufacturers to deliver OE's in volume. You will: Help transfer designs and process' to CM's & manufacturing partners Understand the mechanical design and manufacturing processes. Analyse incoming component and sub-assembly data from component supplier contract manufacturer, and provide expertise to understand component and sub-assembly performance (e.g., dimensional). Provide support with failure analysis including metrology and running DOE's. Support process development (optimising for yield, CT, etc ) Knowledge, Skills & Abilities: Mechanical engineering experience with a focus on metrology (including CMM and CT) Ability to work in a dynamic environment with fast changing needs and priorities Running analysis of mechanical designs (e.g., running DOE's) Minimum Qualifications: Extensive experience in mechanical engineering or other relevant engineering experience. Experience with transferring mechanical designs to production Experience with CAD design software (eg: NX,Solidworks) Experience operating CMM and CT scanners Preferred Qualifications: Experience with opto-mechanical systems Understanding of manufacturing processes Experience with mechanical design and rapid prototyping of jigs and fixtures Experience in AR/VR systems Experience with small highly toleranced components and assemblies Software experience (eg: Python)If you have a disability or special need that requires accommodation, please don't be shy and provide us some ."Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a "default together" approach and expect our team members to work in an office 4+ days per week. At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.: Snap Inc. is its own community, so we've got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap's long-term success!
Dec 16, 2025
Full time
NPI Engineer page is loaded NPI Engineerlocations: Abingdon - 141 Park Drivetime type: Full timeposted on: Posted Todayjob requisition id: Ris a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company's three core products are , a visual messaging app that enhances your relationships with friends, family, and the world; , an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, .The Spectacles team is pushing the boundaries of technology to bring people closer together in the real world. Our fifth-generation Spectacles, powered by Snap OS, showcase how standalone, see-through AR glasses make playing, learning, and working better together.We're looking for an NPI Engineer to join the Optical Engine Delivery Team at Snap Inc! What you'll do: The Optical Engine (OE) Delivery Team is responsible for the early prototyping of opto-mechanical designs, characterisation and transfer to manufacture of Snap's AR display platform. The team delivers high-quality processes, instrumentation and analysis to characterise and develop the next generation of AR products. The team works with third party contract manufacturers to deliver OE's in volume. You will: Help transfer designs and process' to CM's & manufacturing partners Understand the mechanical design and manufacturing processes. Analyse incoming component and sub-assembly data from component supplier contract manufacturer, and provide expertise to understand component and sub-assembly performance (e.g., dimensional). Provide support with failure analysis including metrology and running DOE's. Support process development (optimising for yield, CT, etc ) Knowledge, Skills & Abilities: Mechanical engineering experience with a focus on metrology (including CMM and CT) Ability to work in a dynamic environment with fast changing needs and priorities Running analysis of mechanical designs (e.g., running DOE's) Minimum Qualifications: Extensive experience in mechanical engineering or other relevant engineering experience. Experience with transferring mechanical designs to production Experience with CAD design software (eg: NX,Solidworks) Experience operating CMM and CT scanners Preferred Qualifications: Experience with opto-mechanical systems Understanding of manufacturing processes Experience with mechanical design and rapid prototyping of jigs and fixtures Experience in AR/VR systems Experience with small highly toleranced components and assemblies Software experience (eg: Python)If you have a disability or special need that requires accommodation, please don't be shy and provide us some ."Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a "default together" approach and expect our team members to work in an office 4+ days per week. At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.: Snap Inc. is its own community, so we've got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap's long-term success!
Transform language models into real-world, high-impact product experiences. A1 is a self-funded AI group, operating in full stealth. We're building a new global consumer AI application focused on an important but underexplored use case. You will shape the core technical direction of A1 - model selection, training strategy, infrastructure, and long-term architecture. This is a founding technical role: your decisions will define our model stack, our data strategy, and our product capabilities for years ahead. You won't just fine-tune models - you'll design systems: training pipelines, evaluation frameworks, inference stacks, and scalable deployment architectures. You will have full autonomy to experiment with frontier models (LLaMA, Mistral, Qwen, Claude-compatible architectures) and build new approaches where existing ones fall short. Why This Role Matters You are creating the intelligence layer of A1's first product, defining how it understands, reasons, and interacts with users. Your decisions shape our entire technical foundation - model architectures, training pipelines, inference systems, and long-term scalability. You will push beyond typical chatbot use cases, working on a problem space that requires original thinking, experimentation, and contrarian insight. You influence not just how the product works, but what it becomes, helping steer the direction of our earliest use cases. You are joining as a founding builder, setting engineering standards, contributing to culture, and helping create one of the most meaningful AI applications of this wave. What You'll Do Build end-to-end training pipelines: data training eval inference Design new model architectures or adapt open-source frontier models Fine-tune models using state-of-the-art methods (LoRA/QLoRA, SFT, DPO, distillation) Architect scalable inference systems using vLLM / TensorRT-LLM / DeepSpeed Build data systems for high-quality synthetic and real-world training data Develop alignment, safety, and guardrail strategies Design evaluation frameworks across performance, robustness, safety, and bias Own deployment: GPU optimization, latency reduction, scaling policies Shape early product direction, experiment with new use cases, and build AI-powered experiences from zero Explore frontier techniques: retrieval-augmented training, mixture-of-experts, distillation, multi-agent orchestration, multimodal models What It's Like to Work Here You take ownership - you solve problems end-to-end rather than wait for perfect instructions You learn through action - prototype test iterate ship You're calm in ambiguity - zero-to-one building energises you You bias toward speed with discipline - V1 now > perfect later You see failures and feedback as essential to growth You work with humility, curiosity, and a founder's mindset You lift the bar for yourself and your teammates every day Requirements Strong background in deep learning and transformer architectures Hands-on experience training or fine-tuning large models (LLMs or vision models) Proficiency with PyTorch, JAX, or TensorFlow Experience with distributed training frameworks (DeepSpeed, FSDP, Megatron, ZeRO, Ray) Strong software engineering skills - writing robust, production-grade systems Experience with GPU optimization: memory efficiency, quantization, mixed precision Comfortable owning ambiguous, zero-to-one technical problems end-to-end Nice to Have Experience with LLM inference frameworks (vLLM, TensorRT-LLM, FasterTransformer) Contributions to open-source ML libraries Background in scientific computing, compilers, or GPU kernels Experience with RLHF pipelines (PPO, DPO, ORPO) Experience training or deploying multimodal or diffusion models Experience in large-scale data processing (Apache Arrow, Spark, Ray) Prior work in a research lab (Google Brain, DeepMind, FAIR, Anthropic, OpenAI) What You'll Get Extreme ownership and autonomy from day one - you define and build key model systems. Founding-level influence over technical direction, model architecture, and product strategy. Remote-first flexibility High-impact scope-your work becomes core infrastructure of a global consumer AI product. Competitive compensation and performance-based bonuses Backing of a profitable US$2B group, with the speed of a startup Insurance coverage, flexible time off, and global travel insurance Opportunity to shape a new global AI product from zero A small, senior, high-performance team where you collaborate directly with founders and influence every major decision. Our Team & Culture We operate as a dense, senior, high-performance team. We value clarity, speed, craftsmanship, and relentless ownership. We behave like founders - we build, ship, iterate, and hold ourselves to a high technical bar. If you value excellence, enjoy building real systems, and want to be part of a small team creating something globally impactful, you'll thrive here. About A1 A1 is a self-funded, independent AI group backed by BJAK, focused on building a new consumer AI product with global impact. We're assembling a small, elite team of ML and engineering builders who want to work on meaningful, high-impact problems.
Dec 15, 2025
Full time
Transform language models into real-world, high-impact product experiences. A1 is a self-funded AI group, operating in full stealth. We're building a new global consumer AI application focused on an important but underexplored use case. You will shape the core technical direction of A1 - model selection, training strategy, infrastructure, and long-term architecture. This is a founding technical role: your decisions will define our model stack, our data strategy, and our product capabilities for years ahead. You won't just fine-tune models - you'll design systems: training pipelines, evaluation frameworks, inference stacks, and scalable deployment architectures. You will have full autonomy to experiment with frontier models (LLaMA, Mistral, Qwen, Claude-compatible architectures) and build new approaches where existing ones fall short. Why This Role Matters You are creating the intelligence layer of A1's first product, defining how it understands, reasons, and interacts with users. Your decisions shape our entire technical foundation - model architectures, training pipelines, inference systems, and long-term scalability. You will push beyond typical chatbot use cases, working on a problem space that requires original thinking, experimentation, and contrarian insight. You influence not just how the product works, but what it becomes, helping steer the direction of our earliest use cases. You are joining as a founding builder, setting engineering standards, contributing to culture, and helping create one of the most meaningful AI applications of this wave. What You'll Do Build end-to-end training pipelines: data training eval inference Design new model architectures or adapt open-source frontier models Fine-tune models using state-of-the-art methods (LoRA/QLoRA, SFT, DPO, distillation) Architect scalable inference systems using vLLM / TensorRT-LLM / DeepSpeed Build data systems for high-quality synthetic and real-world training data Develop alignment, safety, and guardrail strategies Design evaluation frameworks across performance, robustness, safety, and bias Own deployment: GPU optimization, latency reduction, scaling policies Shape early product direction, experiment with new use cases, and build AI-powered experiences from zero Explore frontier techniques: retrieval-augmented training, mixture-of-experts, distillation, multi-agent orchestration, multimodal models What It's Like to Work Here You take ownership - you solve problems end-to-end rather than wait for perfect instructions You learn through action - prototype test iterate ship You're calm in ambiguity - zero-to-one building energises you You bias toward speed with discipline - V1 now > perfect later You see failures and feedback as essential to growth You work with humility, curiosity, and a founder's mindset You lift the bar for yourself and your teammates every day Requirements Strong background in deep learning and transformer architectures Hands-on experience training or fine-tuning large models (LLMs or vision models) Proficiency with PyTorch, JAX, or TensorFlow Experience with distributed training frameworks (DeepSpeed, FSDP, Megatron, ZeRO, Ray) Strong software engineering skills - writing robust, production-grade systems Experience with GPU optimization: memory efficiency, quantization, mixed precision Comfortable owning ambiguous, zero-to-one technical problems end-to-end Nice to Have Experience with LLM inference frameworks (vLLM, TensorRT-LLM, FasterTransformer) Contributions to open-source ML libraries Background in scientific computing, compilers, or GPU kernels Experience with RLHF pipelines (PPO, DPO, ORPO) Experience training or deploying multimodal or diffusion models Experience in large-scale data processing (Apache Arrow, Spark, Ray) Prior work in a research lab (Google Brain, DeepMind, FAIR, Anthropic, OpenAI) What You'll Get Extreme ownership and autonomy from day one - you define and build key model systems. Founding-level influence over technical direction, model architecture, and product strategy. Remote-first flexibility High-impact scope-your work becomes core infrastructure of a global consumer AI product. Competitive compensation and performance-based bonuses Backing of a profitable US$2B group, with the speed of a startup Insurance coverage, flexible time off, and global travel insurance Opportunity to shape a new global AI product from zero A small, senior, high-performance team where you collaborate directly with founders and influence every major decision. Our Team & Culture We operate as a dense, senior, high-performance team. We value clarity, speed, craftsmanship, and relentless ownership. We behave like founders - we build, ship, iterate, and hold ourselves to a high technical bar. If you value excellence, enjoy building real systems, and want to be part of a small team creating something globally impactful, you'll thrive here. About A1 A1 is a self-funded, independent AI group backed by BJAK, focused on building a new consumer AI product with global impact. We're assembling a small, elite team of ML and engineering builders who want to work on meaningful, high-impact problems.
About us Over the last 18 years, we have helped over a million satisfied customers move and manage their money. Our award-winning product portfolio allows our customers to make low-cost multi-currency payments across various payment products. From travel money to transfers, currency hedging, to expense management, we are focused on a single goal of making it easy for our customers to manage and move their money. As a business, we are committed to delivering value to our customers through the combination of advanced payments technology and personal expert service. We're doing this by hiring exceptional people and are now looking for a Staff AI Developer Productivity Engineer to join our team. Within our offices in London, Chester and Los Angeles and Europe, Equals comprises of three business lines and brands - Equals Money, FairFX and CardOneMoney. You will join a very close-knit, talented and supportive team from various backgrounds who believe that bringing different perspectives together helps us understand our customers needs. United, by one thing, making money management straightforward and cost-effective for our customers. About the role This is a staff-level, hands-on role at the intersection of Developer Productivity, Developer Experience (DevEx) and AI. You'll accelerate a 100+ engineer organisation by identifying bottlenecks across the developer lifecycle and build and ship internal tools that measurably improve delivery speed and quality. You'll operate with an AI-first mindset: rapidly experiment with cutting-edge AI technologies and agentic flows to see what's possible today, map the frontier and forecast capabilities likely to become viable in the next 3-6 months. When AI isn't the right fit, you'll pragmatically fall back to conventional solutions. You'll self-manage discovery, roadmap and backlog; run short, data-driven trials and productionise solutions which work. You'll partner closely with Engineering and DevOps teams to ensure changes integrate cleanly into existing workflows. About you We believe that certain skills are essential in order to be successful in this role and these are detailed below. You may not have all the other skills we have outlined as desirable, we understand that and will still welcome your application. We will carry out individual interviews for shortlisted candidates and assess who is best suited for the role after we have discussed everything with you. Responsibilities AI-first discovery roadmap - Interview engineers, analyse telemetry and prioritise the highest-leverage opportunities across coding, review, testing, releases and knowledge flows. Set baselines and target deltas and maintain a transparent backlog/roadmap grounded in measurable outcomes. Ship internal tools - Build and maintain AI-augmented dev tools across IDE/CLI, GitHub, Slack, Notion, Retool and internal web apps that reduce manual effort and cycle time. Agentic flows across the SDLC - Design structured, agentic workflows (including MCP and tool-use with human-in-the-loop gates) to improve code authoring/review, test creation/selection and the release, incident response and onboarding processes. Frontier scouting & evaluation - Continuously experiment with cutting-edge AI models, frameworks and runtimes; run short, hypothesis-driven pilots with clear success criteria and developer-fit assessments; productionise successful approaches. Automation pipelines - Implement LLM-assisted and AST-based code-mod workflows for migrations, boilerplate generation, test creation and docs updates. Enablement & change management - Drive adoption with playbooks, golden prompts, demos, office hours and a champions network across build teams; measure usage and satisfaction and iterate. Accountabilities Measurable impact - Reduced cycle time for new features. Quality & reliability - Improved stability; fewer defects and incidents attributable to code changes. Adoption & enablement - Growth in weekly active users of AI and other dev tools; strong satisfaction with guidance, prompts and enablement materials. Developer satisfaction - Higher engineer NPS and engagement Operational excellence - Well-maintained internal tools with monitoring, docs and responsive support; clear deprecation paths for experiments that don't meet the bar. Essential Skills 8+ years in software engineering with a track record of building internal developer tooling/DevEx (CLI/IDE plugins, bots, internal services or web apps). Strong proficiency in TypeScript/Node.js, C#/.NET and front-end experience with React/Next.js. Hands-on LLM integration: prompting, tool/function calling, retrieval (embeddings/vector stores) and basic evaluation of quality. Solid understanding of CI/CD, test strategy and code-quality tooling; able to design fast inner loops and reliable pipelines. Product mindset: discovery interviews, hypothesis-driven experiments, before/after evaluation and clear business cases. Excellent communication and influence skills; comfortable enabling teams via docs, workshops and remote office hours. A role model for our values: Make it happen, Succeed together, Be the customer, Go beyond Desirable Skills Experience administering/rolling out AI coding tools (Copilot, Cursor) and code search. Familiarity with structured/agentic AI workflow frameworks for multi-step tasks. Observability for developer platforms (metrics, tracing, dashboards) and performance tuning of AI workloads. Evaluation techniques for LLM output quality (human-in-the-loop, rubric scoring, golden datasets). Experience with GitHub, Slack, Notion and Retool. Background in fintech/payments or other regulated domains. Our investment in you We welcome people into Equals and desire to grow and develop our talented teams. We believe in teamwork and celebrating our successes. We strive to embrace our values. We want to put you in the driving seat of your career and achieve your full potential through growth opportunities and developmental support. Benefits A competitive salary benchmarked against a peer group. 25 days holiday per year + your birthday off Opportunities for progression, development and learning new skills - £250 towards the cost of learning & development. Free onsite Nuffield Health gym & pool (London) and discounted gym membership elsewhere GetActive with Aviva - Health and Wellbeing discounts on services and products Interbank currency rates on travel money and international transfers. Bupa Private Healthcare Free Eye Test and £50 up to the cost of glasses EAP Service - Mental Health Services Life Assurance Policy - x3 annual salary Contributory pension scheme Cycle to Work Scheme Season Ticket Loans Enhanced Parental Policies Complimentary tea, coffee, soft drinks and fruit We operate a hybrid working arrangement where possible Equals strives to create a workplace where we can all be ourselves. We believe in inclusion, equality and the power of diversity, so you'll be encouraged to bring your unique perspectives and experiences, and help us understand what you need to do your best work.
Dec 13, 2025
Full time
About us Over the last 18 years, we have helped over a million satisfied customers move and manage their money. Our award-winning product portfolio allows our customers to make low-cost multi-currency payments across various payment products. From travel money to transfers, currency hedging, to expense management, we are focused on a single goal of making it easy for our customers to manage and move their money. As a business, we are committed to delivering value to our customers through the combination of advanced payments technology and personal expert service. We're doing this by hiring exceptional people and are now looking for a Staff AI Developer Productivity Engineer to join our team. Within our offices in London, Chester and Los Angeles and Europe, Equals comprises of three business lines and brands - Equals Money, FairFX and CardOneMoney. You will join a very close-knit, talented and supportive team from various backgrounds who believe that bringing different perspectives together helps us understand our customers needs. United, by one thing, making money management straightforward and cost-effective for our customers. About the role This is a staff-level, hands-on role at the intersection of Developer Productivity, Developer Experience (DevEx) and AI. You'll accelerate a 100+ engineer organisation by identifying bottlenecks across the developer lifecycle and build and ship internal tools that measurably improve delivery speed and quality. You'll operate with an AI-first mindset: rapidly experiment with cutting-edge AI technologies and agentic flows to see what's possible today, map the frontier and forecast capabilities likely to become viable in the next 3-6 months. When AI isn't the right fit, you'll pragmatically fall back to conventional solutions. You'll self-manage discovery, roadmap and backlog; run short, data-driven trials and productionise solutions which work. You'll partner closely with Engineering and DevOps teams to ensure changes integrate cleanly into existing workflows. About you We believe that certain skills are essential in order to be successful in this role and these are detailed below. You may not have all the other skills we have outlined as desirable, we understand that and will still welcome your application. We will carry out individual interviews for shortlisted candidates and assess who is best suited for the role after we have discussed everything with you. Responsibilities AI-first discovery roadmap - Interview engineers, analyse telemetry and prioritise the highest-leverage opportunities across coding, review, testing, releases and knowledge flows. Set baselines and target deltas and maintain a transparent backlog/roadmap grounded in measurable outcomes. Ship internal tools - Build and maintain AI-augmented dev tools across IDE/CLI, GitHub, Slack, Notion, Retool and internal web apps that reduce manual effort and cycle time. Agentic flows across the SDLC - Design structured, agentic workflows (including MCP and tool-use with human-in-the-loop gates) to improve code authoring/review, test creation/selection and the release, incident response and onboarding processes. Frontier scouting & evaluation - Continuously experiment with cutting-edge AI models, frameworks and runtimes; run short, hypothesis-driven pilots with clear success criteria and developer-fit assessments; productionise successful approaches. Automation pipelines - Implement LLM-assisted and AST-based code-mod workflows for migrations, boilerplate generation, test creation and docs updates. Enablement & change management - Drive adoption with playbooks, golden prompts, demos, office hours and a champions network across build teams; measure usage and satisfaction and iterate. Accountabilities Measurable impact - Reduced cycle time for new features. Quality & reliability - Improved stability; fewer defects and incidents attributable to code changes. Adoption & enablement - Growth in weekly active users of AI and other dev tools; strong satisfaction with guidance, prompts and enablement materials. Developer satisfaction - Higher engineer NPS and engagement Operational excellence - Well-maintained internal tools with monitoring, docs and responsive support; clear deprecation paths for experiments that don't meet the bar. Essential Skills 8+ years in software engineering with a track record of building internal developer tooling/DevEx (CLI/IDE plugins, bots, internal services or web apps). Strong proficiency in TypeScript/Node.js, C#/.NET and front-end experience with React/Next.js. Hands-on LLM integration: prompting, tool/function calling, retrieval (embeddings/vector stores) and basic evaluation of quality. Solid understanding of CI/CD, test strategy and code-quality tooling; able to design fast inner loops and reliable pipelines. Product mindset: discovery interviews, hypothesis-driven experiments, before/after evaluation and clear business cases. Excellent communication and influence skills; comfortable enabling teams via docs, workshops and remote office hours. A role model for our values: Make it happen, Succeed together, Be the customer, Go beyond Desirable Skills Experience administering/rolling out AI coding tools (Copilot, Cursor) and code search. Familiarity with structured/agentic AI workflow frameworks for multi-step tasks. Observability for developer platforms (metrics, tracing, dashboards) and performance tuning of AI workloads. Evaluation techniques for LLM output quality (human-in-the-loop, rubric scoring, golden datasets). Experience with GitHub, Slack, Notion and Retool. Background in fintech/payments or other regulated domains. Our investment in you We welcome people into Equals and desire to grow and develop our talented teams. We believe in teamwork and celebrating our successes. We strive to embrace our values. We want to put you in the driving seat of your career and achieve your full potential through growth opportunities and developmental support. Benefits A competitive salary benchmarked against a peer group. 25 days holiday per year + your birthday off Opportunities for progression, development and learning new skills - £250 towards the cost of learning & development. Free onsite Nuffield Health gym & pool (London) and discounted gym membership elsewhere GetActive with Aviva - Health and Wellbeing discounts on services and products Interbank currency rates on travel money and international transfers. Bupa Private Healthcare Free Eye Test and £50 up to the cost of glasses EAP Service - Mental Health Services Life Assurance Policy - x3 annual salary Contributory pension scheme Cycle to Work Scheme Season Ticket Loans Enhanced Parental Policies Complimentary tea, coffee, soft drinks and fruit We operate a hybrid working arrangement where possible Equals strives to create a workplace where we can all be ourselves. We believe in inclusion, equality and the power of diversity, so you'll be encouraged to bring your unique perspectives and experiences, and help us understand what you need to do your best work.
Job description The Onyx Research Data Tech organization represents a major investment by GSK R&D and Digital & Tech, designed to deliver a step-change in our ability to leverage data, knowledge, and prediction to find new medicines. We are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next-generation data experience for GSK's scientists, engineers, and decision-makers, increasing productivity and reducing time spent on 'data mechanics' Providing best-in-class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top-tier talent Aggressively engineering our data at scale to unlock the value of our combined data assets and predictions in real-time Onyx Product Management is at the heart of our mission, ensuring that everything from our infrastructure, to platforms, to end-user facing data assets and environments is designed to maximize our impact on R&D. The Product Management team partners with R&D stakeholders and Onyx leadership to develop a strategic roadmap for all customer-facing aspects of Onyx, including data assets, ontology, Knowledge Graph / semantic search, data / computing / analysis platforms, and data-powered applications. We are seeking an experienced Senior Product Manager who will be accountable for designing and delivering the road map for molecule design products to support GSK Research and Development. This role will be pivotal in ensuring a cohesive enterprise level strategy towards molecule design solutions and will ensure our scientists have access to best-in-in-class technology products to improve research productivity and ultimately deliver new medicines for our patients. In this role you will: Own and lead the product roadmap, product development, launch and adoption of novel molecule design solutions to benefit the scientific community at GSK across multiple departments Play a key role in defining the strategic direction for molecule design tools with GenAI capabilities at the core Partner closely with the wider Onyx tech team, as well as R&D scientists and leaders, to deliver industry-leading cloud-based products and solutions with GenAI and agentic capabilities. Key Responsibilities: Product Strategy and Roadmap: Develop and execute a comprehensive product strategy and roadmap for molecule design solutions and tools, aligned with the Onyx's overall product vision and objectives. Customer Understanding: Conduct in-depth customer research, gather customer insights, and engage with customers regularly to understand emerging requirements. Product Planning and Definition: Collaborate with stakeholders to define product requirements, features, and specifications based on customer feedback, product vision, and business goals. Agile Product Development: Work closely with portfolio and engineering teams in an agile environment to ensure successful and timely delivery of product releases, including prioritization, sprint planning, and backlog management. GenAI Product and Capability Upgrade: Spearhead the development of a new class of AI Agents, powered by LLMs and Generative AI, designed to autonomously execute complex scientific research tasks like hypothesis generation, experimental design, and data interpretation. Design and productize the human-agent interaction layer, moving beyond traditional UIs to create conversational and goal-driven interfaces that allow scientists to delegate multi-step tasks and interpret the outputs of autonomous GenAI systems. Own the product lifecycle for models and agents, leading the strategy for data acquisition, model fine-tuning, and the development of APIs/agents that allow them to be leveraged as 'tools' by other agents and systems. Model-In-The-Loop Design: Structuring products so that R&D users can easily challenge, verify, and provide feedback to improve the agentic tools and underlying models (human-guided iteration). Demonstrate Human + AI collaboration with minimum friction to drive user adoption. Technical Product Discussions: Lead highly technical product discussions with engineering leaders, translating ambiguous scientific objectives into precise requirements for fine-tuning foundational models, vector databases, and multi-agent system architectures. Cross-Functional Collaboration: Collaborate with both tech and RD teams, including DevOps & Infrastructure, data engineering, computing platform engineering, data & knowledge platform engineering, program management teams and RD data leadership teams, to align product strategies, gather input, and drive successful implementation plans. Product Launch and Adoption: Lead product launches, ensuring effective communication, training, and support materials to drive successful product adoption and customer satisfaction. Product Performance and Optimization: Continuously monitor product performance, collect and analyze data, and drive iterative improvements to enhance product usability, performance, and customer experience. Why you? Qualifications & Skills: Bachelors degree in Bioinformatics, Computational Biology, cheminformatics, AI/ML, Computer Science, Software Engineering, or related discipline. Significant experience in product management with a proven track record of shipping 0-to-1 software products powered by AI/GenAI, LLMs, or autonomous agents in a commercial or large-scale enterprise setting. Demonstrated experience defining product strategy for modern applications, including hands-on experience with technologies core to AI systems such as vector databases, MLOps, retrieval-augmented generation, and model fine-tuning. Direct product management experience designing and launching AI agents that can utilize tools (APIs, function calling) to perform complex, multi-step actions and reason about their environment. Deep technical fluency with cloud-native architectures (e.g., AWS, GCP, Azure), API design, and the infrastructure required to serve and scale LLM-based applications Preferred Qualifications & Skills: Master's degree or PhD in Bioinformatics, Computational Biology, Computational Chemistry, Data Science, Computer Science/Software Engineering, Cloud Computing or related discipline. Hands on software engineering or data science experience in a GenAI-focused team prior to transitioning into product management. Familiarity with the architecture of modern transformer-based models and the strategic product trade-offs between using proprietary models (e.g., GPT 4, Claude), open source models (e.g., Llama, Mistral), and fine tuning custom models. Experience building products that manage or interpret complex, unstructured biomedical data. Extensive knowledge of bioinformatics, computational biology, or cheminformatics, and a strong vision for how agentic AI can revolutionize the drug discovery process. Extensive product experience designing, optimizing, and implementing Model Context Protocols (MCP) for LLM powered agents, including advanced strategies for prompt engineering, context window management, memory architectures (e.g., short term, long term memory), and ensuring model coherence over extended multi turn interactions. Hands on experience with product management tools such as Confluence, Jira, Miro, Monday, Notion, etc. Previous experience in life science industry or biopharma R&D is a plus. Closing Date for Applications: Tuesday 6th January 2026 (COB) Please note: As we approach the holiday season, our recruitment team and hiring managers will have limited availability between now and early January. We encourage you to apply and will review all applications, however response times may be longer than usual, and interviews may be scheduled after the New Year. We appreciate your understanding and look forward to connecting soon! Please take a copy of the Job Description, as this will not be available post closure of the advert. When applying for this role, please use the 'cover letter' of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application. During the course of your application, you will be requested to complete voluntary information which will be used in monitoring the effectiveness of our equality and diversity policies. Your information will be treated as confidential and will not be used in any part of the selection process. If you require a reasonable adjustment to the application / selection process to enable you to demonstrate your ability to perform the job requirements, please contact . This will help us to understand any modifications we may need to make to support you throughout our selection process. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory . click apply for full job details
Dec 13, 2025
Full time
Job description The Onyx Research Data Tech organization represents a major investment by GSK R&D and Digital & Tech, designed to deliver a step-change in our ability to leverage data, knowledge, and prediction to find new medicines. We are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next-generation data experience for GSK's scientists, engineers, and decision-makers, increasing productivity and reducing time spent on 'data mechanics' Providing best-in-class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top-tier talent Aggressively engineering our data at scale to unlock the value of our combined data assets and predictions in real-time Onyx Product Management is at the heart of our mission, ensuring that everything from our infrastructure, to platforms, to end-user facing data assets and environments is designed to maximize our impact on R&D. The Product Management team partners with R&D stakeholders and Onyx leadership to develop a strategic roadmap for all customer-facing aspects of Onyx, including data assets, ontology, Knowledge Graph / semantic search, data / computing / analysis platforms, and data-powered applications. We are seeking an experienced Senior Product Manager who will be accountable for designing and delivering the road map for molecule design products to support GSK Research and Development. This role will be pivotal in ensuring a cohesive enterprise level strategy towards molecule design solutions and will ensure our scientists have access to best-in-in-class technology products to improve research productivity and ultimately deliver new medicines for our patients. In this role you will: Own and lead the product roadmap, product development, launch and adoption of novel molecule design solutions to benefit the scientific community at GSK across multiple departments Play a key role in defining the strategic direction for molecule design tools with GenAI capabilities at the core Partner closely with the wider Onyx tech team, as well as R&D scientists and leaders, to deliver industry-leading cloud-based products and solutions with GenAI and agentic capabilities. Key Responsibilities: Product Strategy and Roadmap: Develop and execute a comprehensive product strategy and roadmap for molecule design solutions and tools, aligned with the Onyx's overall product vision and objectives. Customer Understanding: Conduct in-depth customer research, gather customer insights, and engage with customers regularly to understand emerging requirements. Product Planning and Definition: Collaborate with stakeholders to define product requirements, features, and specifications based on customer feedback, product vision, and business goals. Agile Product Development: Work closely with portfolio and engineering teams in an agile environment to ensure successful and timely delivery of product releases, including prioritization, sprint planning, and backlog management. GenAI Product and Capability Upgrade: Spearhead the development of a new class of AI Agents, powered by LLMs and Generative AI, designed to autonomously execute complex scientific research tasks like hypothesis generation, experimental design, and data interpretation. Design and productize the human-agent interaction layer, moving beyond traditional UIs to create conversational and goal-driven interfaces that allow scientists to delegate multi-step tasks and interpret the outputs of autonomous GenAI systems. Own the product lifecycle for models and agents, leading the strategy for data acquisition, model fine-tuning, and the development of APIs/agents that allow them to be leveraged as 'tools' by other agents and systems. Model-In-The-Loop Design: Structuring products so that R&D users can easily challenge, verify, and provide feedback to improve the agentic tools and underlying models (human-guided iteration). Demonstrate Human + AI collaboration with minimum friction to drive user adoption. Technical Product Discussions: Lead highly technical product discussions with engineering leaders, translating ambiguous scientific objectives into precise requirements for fine-tuning foundational models, vector databases, and multi-agent system architectures. Cross-Functional Collaboration: Collaborate with both tech and RD teams, including DevOps & Infrastructure, data engineering, computing platform engineering, data & knowledge platform engineering, program management teams and RD data leadership teams, to align product strategies, gather input, and drive successful implementation plans. Product Launch and Adoption: Lead product launches, ensuring effective communication, training, and support materials to drive successful product adoption and customer satisfaction. Product Performance and Optimization: Continuously monitor product performance, collect and analyze data, and drive iterative improvements to enhance product usability, performance, and customer experience. Why you? Qualifications & Skills: Bachelors degree in Bioinformatics, Computational Biology, cheminformatics, AI/ML, Computer Science, Software Engineering, or related discipline. Significant experience in product management with a proven track record of shipping 0-to-1 software products powered by AI/GenAI, LLMs, or autonomous agents in a commercial or large-scale enterprise setting. Demonstrated experience defining product strategy for modern applications, including hands-on experience with technologies core to AI systems such as vector databases, MLOps, retrieval-augmented generation, and model fine-tuning. Direct product management experience designing and launching AI agents that can utilize tools (APIs, function calling) to perform complex, multi-step actions and reason about their environment. Deep technical fluency with cloud-native architectures (e.g., AWS, GCP, Azure), API design, and the infrastructure required to serve and scale LLM-based applications Preferred Qualifications & Skills: Master's degree or PhD in Bioinformatics, Computational Biology, Computational Chemistry, Data Science, Computer Science/Software Engineering, Cloud Computing or related discipline. Hands on software engineering or data science experience in a GenAI-focused team prior to transitioning into product management. Familiarity with the architecture of modern transformer-based models and the strategic product trade-offs between using proprietary models (e.g., GPT 4, Claude), open source models (e.g., Llama, Mistral), and fine tuning custom models. Experience building products that manage or interpret complex, unstructured biomedical data. Extensive knowledge of bioinformatics, computational biology, or cheminformatics, and a strong vision for how agentic AI can revolutionize the drug discovery process. Extensive product experience designing, optimizing, and implementing Model Context Protocols (MCP) for LLM powered agents, including advanced strategies for prompt engineering, context window management, memory architectures (e.g., short term, long term memory), and ensuring model coherence over extended multi turn interactions. Hands on experience with product management tools such as Confluence, Jira, Miro, Monday, Notion, etc. Previous experience in life science industry or biopharma R&D is a plus. Closing Date for Applications: Tuesday 6th January 2026 (COB) Please note: As we approach the holiday season, our recruitment team and hiring managers will have limited availability between now and early January. We encourage you to apply and will review all applications, however response times may be longer than usual, and interviews may be scheduled after the New Year. We appreciate your understanding and look forward to connecting soon! Please take a copy of the Job Description, as this will not be available post closure of the advert. When applying for this role, please use the 'cover letter' of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application. During the course of your application, you will be requested to complete voluntary information which will be used in monitoring the effectiveness of our equality and diversity policies. Your information will be treated as confidential and will not be used in any part of the selection process. If you require a reasonable adjustment to the application / selection process to enable you to demonstrate your ability to perform the job requirements, please contact . This will help us to understand any modifications we may need to make to support you throughout our selection process. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory . click apply for full job details
About us Over the last 18 years, we have helped over a million satisfied customers move and manage their money. Our award-winning product portfolio allows our customers to make low-cost multi-currency payments across various payment products. From travel money to transfers, currency hedging, to expense management, we are focused on a single goal of making it easy for our customers to manage and move their money. As a business, we are committed to delivering value to our customers through the combination of advanced payments technology and personal expert service. We're doing this by hiring exceptional people and are now looking for a Staff AI Developer Productivity Engineer to join our team. Within our offices in London, Chester and Los Angeles and Europe, Equals comprises of three business lines and brands - Equals Money, FairFX and CardOneMoney. You will join a very close-knit, talented and supportive team from various backgrounds who believe that bringing different perspectives together helps us understand our customers needs. United, by one thing, making money management straightforward and cost-effective for our customers. About the role This is a staff-level, hands-on role at the intersection of Developer Productivity, Developer Experience (DevEx) and AI. You'll accelerate a 100+ engineer organisation by identifying bottlenecks across the developer lifecycle and build and ship internal tools that measurably improve delivery speed and quality. You'll operate with an AI-first mindset: rapidly experiment with cutting-edge AI technologies and agentic flows to see what's possible today, map the frontier and forecast capabilities likely to become viable in the next 3-6 months. When AI isn't the right fit, you'll pragmatically fall back to conventional solutions. You'll self-manage discovery, roadmap and backlog; run short, data-driven trials and productionise solutions which work. You'll partner closely with Engineering and DevOps teams to ensure changes integrate cleanly into existing workflows. About you We believe that certain skills are essential in order to be successful in this role and these are detailed below. You may not have all the other skills we have outlined as desirable, we understand that and will still welcome your application. We will carry out individual interviews for shortlisted candidates and assess who is best suited for the role after we have discussed everything with you. Responsibilities AI-first discovery roadmap - Interview engineers, analyse telemetry and prioritise the highest-leverage opportunities across coding, review, testing, releases and knowledge flows. Set baselines and target deltas and maintain a transparent backlog/roadmap grounded in measurable outcomes. Ship internal tools - Build and maintain AI-augmented dev tools across IDE/CLI, GitHub, Slack, Notion, Retool and internal web apps that reduce manual effort and cycle time. Agentic flows across the SDLC - Design structured, agentic workflows (including MCP and tool-use with human-in-the-loop gates) to improve code authoring/review, test creation/selection and the release, incident response and onboarding processes. Frontier scouting & evaluation - Continuously experiment with cutting-edge AI models, frameworks and runtimes; run short, hypothesis-driven pilots with clear success criteria and developer-fit assessments; productionise successful approaches. Automation pipelines - Implement LLM-assisted and AST-based code-mod workflows for migrations, boilerplate generation, test creation and docs updates. Enablement & change management - Drive adoption with playbooks, golden prompts, demos, office hours and a champions network across build teams; measure usage and satisfaction and iterate. Accountabilities Measurable impact - Reduced cycle time for new features. Quality & reliability - Improved stability; fewer defects and incidents attributable to code changes. Adoption & enablement - Growth in weekly active users of AI and other dev tools; strong satisfaction with guidance, prompts and enablement materials. Developer satisfaction - Higher engineer NPS and engagement Operational excellence - Well-maintained internal tools with monitoring, docs and responsive support; clear deprecation paths for experiments that don't meet the bar. Essential Skills 8+ years in software engineering with a track record of building internal developer tooling/DevEx (CLI/IDE plugins, bots, internal services or web apps). Strong proficiency in TypeScript/Node.js, C#/.NET and front-end experience with React/Next.js. Hands-on LLM integration: prompting, tool/function calling, retrieval (embeddings/vector stores) and basic evaluation of quality. Solid understanding of CI/CD, test strategy and code-quality tooling; able to design fast inner loops and reliable pipelines. Product mindset: discovery interviews, hypothesis-driven experiments, before/after evaluation and clear business cases. Excellent communication and influence skills; comfortable enabling teams via docs, workshops and remote office hours. A role model for our values: Make it happen, Succeed together, Be the customer, Go beyond Desirable Skills Experience administering/rolling out AI coding tools (Copilot, Cursor) and code search. Familiarity with structured/agentic AI workflow frameworks for multi-step tasks. Observability for developer platforms (metrics, tracing, dashboards) and performance tuning of AI workloads. Evaluation techniques for LLM output quality (human-in-the-loop, rubric scoring, golden datasets). Experience with GitHub, Slack, Notion and Retool. Background in fintech/payments or other regulated domains. Our investment in you We welcome people into Equals and desire to grow and develop our talented teams. We believe in teamwork and celebrating our successes. We strive to embrace our values. We want to put you in the driving seat of your career and achieve your full potential through growth opportunities and developmental support. Benefits A competitive salary benchmarked against a peer group. 25 days holiday per year + your birthday off Opportunities for progression, development and learning new skills - £250 towards the cost of learning & development. Free onsite Nuffield Health gym & pool (London) and discounted gym membership elsewhere GetActive with Aviva - Health and Wellbeing discounts on services and products Interbank currency rates on travel money and international transfers. Bupa Private Healthcare Free Eye Test and £50 up to the cost of glasses EAP Service - Mental Health Services Life Assurance Policy - x3 annual salary Contributory pension scheme Cycle to Work Scheme Season Ticket Loans Enhanced Parental Policies Complimentary tea, coffee, soft drinks and fruit We operate a hybrid working arrangement where possible Equals strives to create a workplace where we can all be ourselves. We believe in inclusion, equality and the power of diversity, so you'll be encouraged to bring your unique perspectives and experiences, and help us understand what you need to do your best work.
Dec 13, 2025
Full time
About us Over the last 18 years, we have helped over a million satisfied customers move and manage their money. Our award-winning product portfolio allows our customers to make low-cost multi-currency payments across various payment products. From travel money to transfers, currency hedging, to expense management, we are focused on a single goal of making it easy for our customers to manage and move their money. As a business, we are committed to delivering value to our customers through the combination of advanced payments technology and personal expert service. We're doing this by hiring exceptional people and are now looking for a Staff AI Developer Productivity Engineer to join our team. Within our offices in London, Chester and Los Angeles and Europe, Equals comprises of three business lines and brands - Equals Money, FairFX and CardOneMoney. You will join a very close-knit, talented and supportive team from various backgrounds who believe that bringing different perspectives together helps us understand our customers needs. United, by one thing, making money management straightforward and cost-effective for our customers. About the role This is a staff-level, hands-on role at the intersection of Developer Productivity, Developer Experience (DevEx) and AI. You'll accelerate a 100+ engineer organisation by identifying bottlenecks across the developer lifecycle and build and ship internal tools that measurably improve delivery speed and quality. You'll operate with an AI-first mindset: rapidly experiment with cutting-edge AI technologies and agentic flows to see what's possible today, map the frontier and forecast capabilities likely to become viable in the next 3-6 months. When AI isn't the right fit, you'll pragmatically fall back to conventional solutions. You'll self-manage discovery, roadmap and backlog; run short, data-driven trials and productionise solutions which work. You'll partner closely with Engineering and DevOps teams to ensure changes integrate cleanly into existing workflows. About you We believe that certain skills are essential in order to be successful in this role and these are detailed below. You may not have all the other skills we have outlined as desirable, we understand that and will still welcome your application. We will carry out individual interviews for shortlisted candidates and assess who is best suited for the role after we have discussed everything with you. Responsibilities AI-first discovery roadmap - Interview engineers, analyse telemetry and prioritise the highest-leverage opportunities across coding, review, testing, releases and knowledge flows. Set baselines and target deltas and maintain a transparent backlog/roadmap grounded in measurable outcomes. Ship internal tools - Build and maintain AI-augmented dev tools across IDE/CLI, GitHub, Slack, Notion, Retool and internal web apps that reduce manual effort and cycle time. Agentic flows across the SDLC - Design structured, agentic workflows (including MCP and tool-use with human-in-the-loop gates) to improve code authoring/review, test creation/selection and the release, incident response and onboarding processes. Frontier scouting & evaluation - Continuously experiment with cutting-edge AI models, frameworks and runtimes; run short, hypothesis-driven pilots with clear success criteria and developer-fit assessments; productionise successful approaches. Automation pipelines - Implement LLM-assisted and AST-based code-mod workflows for migrations, boilerplate generation, test creation and docs updates. Enablement & change management - Drive adoption with playbooks, golden prompts, demos, office hours and a champions network across build teams; measure usage and satisfaction and iterate. Accountabilities Measurable impact - Reduced cycle time for new features. Quality & reliability - Improved stability; fewer defects and incidents attributable to code changes. Adoption & enablement - Growth in weekly active users of AI and other dev tools; strong satisfaction with guidance, prompts and enablement materials. Developer satisfaction - Higher engineer NPS and engagement Operational excellence - Well-maintained internal tools with monitoring, docs and responsive support; clear deprecation paths for experiments that don't meet the bar. Essential Skills 8+ years in software engineering with a track record of building internal developer tooling/DevEx (CLI/IDE plugins, bots, internal services or web apps). Strong proficiency in TypeScript/Node.js, C#/.NET and front-end experience with React/Next.js. Hands-on LLM integration: prompting, tool/function calling, retrieval (embeddings/vector stores) and basic evaluation of quality. Solid understanding of CI/CD, test strategy and code-quality tooling; able to design fast inner loops and reliable pipelines. Product mindset: discovery interviews, hypothesis-driven experiments, before/after evaluation and clear business cases. Excellent communication and influence skills; comfortable enabling teams via docs, workshops and remote office hours. A role model for our values: Make it happen, Succeed together, Be the customer, Go beyond Desirable Skills Experience administering/rolling out AI coding tools (Copilot, Cursor) and code search. Familiarity with structured/agentic AI workflow frameworks for multi-step tasks. Observability for developer platforms (metrics, tracing, dashboards) and performance tuning of AI workloads. Evaluation techniques for LLM output quality (human-in-the-loop, rubric scoring, golden datasets). Experience with GitHub, Slack, Notion and Retool. Background in fintech/payments or other regulated domains. Our investment in you We welcome people into Equals and desire to grow and develop our talented teams. We believe in teamwork and celebrating our successes. We strive to embrace our values. We want to put you in the driving seat of your career and achieve your full potential through growth opportunities and developmental support. Benefits A competitive salary benchmarked against a peer group. 25 days holiday per year + your birthday off Opportunities for progression, development and learning new skills - £250 towards the cost of learning & development. Free onsite Nuffield Health gym & pool (London) and discounted gym membership elsewhere GetActive with Aviva - Health and Wellbeing discounts on services and products Interbank currency rates on travel money and international transfers. Bupa Private Healthcare Free Eye Test and £50 up to the cost of glasses EAP Service - Mental Health Services Life Assurance Policy - x3 annual salary Contributory pension scheme Cycle to Work Scheme Season Ticket Loans Enhanced Parental Policies Complimentary tea, coffee, soft drinks and fruit We operate a hybrid working arrangement where possible Equals strives to create a workplace where we can all be ourselves. We believe in inclusion, equality and the power of diversity, so you'll be encouraged to bring your unique perspectives and experiences, and help us understand what you need to do your best work.
About hyperexponential (hx) At hyperexponential, we're building the AI-powered platform that enables the world's most critical decisions in a $7 trillion industry, which risks to take, and how to price them. These are the decisions that shape real-world outcomes: whether rockets successfully launch into space, autonomous vehicles make it to market, or communities recover after major storms. Until now, insurance has been making billion-dollar decisions using outdated tools. We're changing that. Our platform brings together data, AI, and human expertise to give insurers the fastest path from submission to decision - helping them move faster, act smarter, and take on more risk with confidence. Backed by a16z, Highland Europe, and Battery Ventures, we're scaling globally - already trusted by nearly 50 of the world's largest insurers, with zero churn and billions in premiums flowing through hx. What began as a single product in one market has rapidly evolved into a multi-product, multi-territory platform powering every stage of pricing and underwriting. AI is at the core of what we do - from building the world's first domain-specific AI peer programmer for insurance (think GitHub Copilot with a PhD in actuarial science) to shaping agentic workflows that reinvent how this industry operates. What makes hx different is the people who build it. Here, impact isn't tied to title or tenure; it's defined by the challenges you take on and the discipline you bring. Surrounded by peers who stretch you, you'll do the best, hardest work of your life in a company engineered to endure. If that sounds like you, join us in building what comes next. About the hxAI team At hx, AI is not an add-on, it is central to our mission. We are redefining how the insurance industry builds software and makes decisions, powered by generative AI. Our team combines state-of-the-art LLM technology with deep insurance domain expertise to solve problems no one else is tackling. We're currently focused on two flagship products. The first is a powerful ingestion engine that transforms unstructured insurance documents into structured insights. The second is our crown jewel: a domain-specific AI peer-programmer embedded inside a custom IDE, designed to reshape how actuaries and underwriters code, model risk, and make billion-dollar decisions. This is applied AI with teeth. Our team moves fast, experiments often, and ships real value into the hands of customers. As a Staff Engineer, you'll join a small, high-ownership group with the autonomy to drive innovation and directly influence how AI transforms an entire industry. What you'll be doing Architect and scale advanced AI and ML systems that power hx's next generation of products - solving problems where no off-the-shelf solution exists. Lead the design and deployment of cutting-edge model capabilities, from LLM-driven workflows to domain-specific ML pipelines optimised for messy, high-value real-world data. Drive foundational decisions across data, modelling, and production infrastructure to ensure performance, robustness, and long-term scalability of our AI platform. Rapidly prototype novel ideas, validate them in live environments, and evolve successful experiments into production-grade systems used by customers at scale. Advance hx's broader AI strategy: shaping technical direction, embedding best practices, and raising the bar for how we build, test, and ship ML-powered features. Act as a technical multiplier: mentoring engineers, cultivating deep ML craftsmanship, and fostering a culture anchored in curiosity, speed, and scientific rigor. What you'll need to have done Built and operated production-grade ML products in Python, with deep expertise across software development, model development, data processing, evaluation, and optimisation. Designed and scaled distributed, cloud-native pipelines - bringing clarity and structure to ambiguous real-world data challenges. Taken full ownership of impactful AI initiatives: from identifying the opportunity, to modelling, to deploying and measuring value in production. Communicated complex ML concepts clearly and persuasively across engineering, product, and business teams. Influenced technical direction and culture, translating local wins into durable engineering practices. Delivered AI/ML-powered products end-to-end, balancing rapid experimentation with the demands of high-reliability production systems. (Nice to have) Brought LLMs into production, especially for NLP-heavy or retrieval-augmented use cases. You're unlikely to thrive here if You prefer predefined playbooks and predictable projects over ambiguous, exploratory work. You see your contribution as limited to code, rather than shaping products and systems end-to-end. You're uncomfortable with rapid iteration and experimentation in live environments. If reading our Culture Document leaves you feeling neutral rather than energised, hx may not be the place where you'll do your best work. We're building something that asks for commitment and conviction, and we want you to feel excited by the opportunity to grow with us. Compensation At hx, we're committed to salary transparency. You'll always have clarity on pay early in the process - our Talent Partner will share details with you during initial conversations - and we're working towards publishing salary information for all roles globally. Because we're building at the intersection of technology/SaaS and insurance, our roles don't always map neatly onto traditional benchmarks. Our approach is to design compensation that's competitive in the market, fair across teams, and aligned with the impact our people make. Equity: We offer equity across all roles at hx, making it a significant component of total compensation. Your talent partner will be able to share more details about this. Benefits £5,000 training and conference budget for individual and group development. 25 days of holiday plus 8 bank holidays (33 days total). Company pension scheme via Penfold. Mental health support and therapy via Spectrum.life. Individual wellbeing allowance via Juno. Private healthcare insurance through AXA. Income protection and Life Insurance. Cycle to Work Scheme Additional perks Top-spec equipment (laptop, screens, adjustable desks, etc.). Regular remote and in-person hackathons, lunch and learns, socials, and game nights. Team breakfasts and lunches, snacks, drinks fridge, and a fun office at The Ministry. Exceptional opportunities for personal development and growth as we build something remarkable together. Interview process Initial call with Talent team (30 minutes) Manager Interview (60 minutes) Technical Assessment (e.g., code review, system design) (120 minutes) Values Interview with Tech Leadership (60 minutes) Offer Our commitment to Diversity hxer's are at the centre of everything we build. We know that progress depends on diverse perspectives, and we are committed to creating an environment where everyone can thrive, grow, and make an impact. We recognise there is always more to do, and we take responsibility for shaping a workplace that is not only diverse but genuinely inclusive. Diversity is not just the right thing to do, it is key to solving the complex challenges we choose to take on. By welcoming people from all backgrounds and experiences, we strengthen our ability to question assumptions, push boundaries, and design solutions that endure. If you're energised by complexity and motivated to grow, we encourage you to apply and join our global team. Next steps If this opportunity resonates with you, we encourage you to apply or share it with your connections! Our dedicated talent team reviews all applications, and we promise to provide feedback regardless of the outcome. For more information about applying and to view other opportunities, you can visit our careers page. Please note that background checks will be conducted as part of the hiring process to ensure compliance with our governance policies. We handle all background checks sensitively and in full compliance with relevant regulations. All applicant data will be processed in accordance with data protection regulations and our privacy policy.
Dec 13, 2025
Full time
About hyperexponential (hx) At hyperexponential, we're building the AI-powered platform that enables the world's most critical decisions in a $7 trillion industry, which risks to take, and how to price them. These are the decisions that shape real-world outcomes: whether rockets successfully launch into space, autonomous vehicles make it to market, or communities recover after major storms. Until now, insurance has been making billion-dollar decisions using outdated tools. We're changing that. Our platform brings together data, AI, and human expertise to give insurers the fastest path from submission to decision - helping them move faster, act smarter, and take on more risk with confidence. Backed by a16z, Highland Europe, and Battery Ventures, we're scaling globally - already trusted by nearly 50 of the world's largest insurers, with zero churn and billions in premiums flowing through hx. What began as a single product in one market has rapidly evolved into a multi-product, multi-territory platform powering every stage of pricing and underwriting. AI is at the core of what we do - from building the world's first domain-specific AI peer programmer for insurance (think GitHub Copilot with a PhD in actuarial science) to shaping agentic workflows that reinvent how this industry operates. What makes hx different is the people who build it. Here, impact isn't tied to title or tenure; it's defined by the challenges you take on and the discipline you bring. Surrounded by peers who stretch you, you'll do the best, hardest work of your life in a company engineered to endure. If that sounds like you, join us in building what comes next. About the hxAI team At hx, AI is not an add-on, it is central to our mission. We are redefining how the insurance industry builds software and makes decisions, powered by generative AI. Our team combines state-of-the-art LLM technology with deep insurance domain expertise to solve problems no one else is tackling. We're currently focused on two flagship products. The first is a powerful ingestion engine that transforms unstructured insurance documents into structured insights. The second is our crown jewel: a domain-specific AI peer-programmer embedded inside a custom IDE, designed to reshape how actuaries and underwriters code, model risk, and make billion-dollar decisions. This is applied AI with teeth. Our team moves fast, experiments often, and ships real value into the hands of customers. As a Staff Engineer, you'll join a small, high-ownership group with the autonomy to drive innovation and directly influence how AI transforms an entire industry. What you'll be doing Architect and scale advanced AI and ML systems that power hx's next generation of products - solving problems where no off-the-shelf solution exists. Lead the design and deployment of cutting-edge model capabilities, from LLM-driven workflows to domain-specific ML pipelines optimised for messy, high-value real-world data. Drive foundational decisions across data, modelling, and production infrastructure to ensure performance, robustness, and long-term scalability of our AI platform. Rapidly prototype novel ideas, validate them in live environments, and evolve successful experiments into production-grade systems used by customers at scale. Advance hx's broader AI strategy: shaping technical direction, embedding best practices, and raising the bar for how we build, test, and ship ML-powered features. Act as a technical multiplier: mentoring engineers, cultivating deep ML craftsmanship, and fostering a culture anchored in curiosity, speed, and scientific rigor. What you'll need to have done Built and operated production-grade ML products in Python, with deep expertise across software development, model development, data processing, evaluation, and optimisation. Designed and scaled distributed, cloud-native pipelines - bringing clarity and structure to ambiguous real-world data challenges. Taken full ownership of impactful AI initiatives: from identifying the opportunity, to modelling, to deploying and measuring value in production. Communicated complex ML concepts clearly and persuasively across engineering, product, and business teams. Influenced technical direction and culture, translating local wins into durable engineering practices. Delivered AI/ML-powered products end-to-end, balancing rapid experimentation with the demands of high-reliability production systems. (Nice to have) Brought LLMs into production, especially for NLP-heavy or retrieval-augmented use cases. You're unlikely to thrive here if You prefer predefined playbooks and predictable projects over ambiguous, exploratory work. You see your contribution as limited to code, rather than shaping products and systems end-to-end. You're uncomfortable with rapid iteration and experimentation in live environments. If reading our Culture Document leaves you feeling neutral rather than energised, hx may not be the place where you'll do your best work. We're building something that asks for commitment and conviction, and we want you to feel excited by the opportunity to grow with us. Compensation At hx, we're committed to salary transparency. You'll always have clarity on pay early in the process - our Talent Partner will share details with you during initial conversations - and we're working towards publishing salary information for all roles globally. Because we're building at the intersection of technology/SaaS and insurance, our roles don't always map neatly onto traditional benchmarks. Our approach is to design compensation that's competitive in the market, fair across teams, and aligned with the impact our people make. Equity: We offer equity across all roles at hx, making it a significant component of total compensation. Your talent partner will be able to share more details about this. Benefits £5,000 training and conference budget for individual and group development. 25 days of holiday plus 8 bank holidays (33 days total). Company pension scheme via Penfold. Mental health support and therapy via Spectrum.life. Individual wellbeing allowance via Juno. Private healthcare insurance through AXA. Income protection and Life Insurance. Cycle to Work Scheme Additional perks Top-spec equipment (laptop, screens, adjustable desks, etc.). Regular remote and in-person hackathons, lunch and learns, socials, and game nights. Team breakfasts and lunches, snacks, drinks fridge, and a fun office at The Ministry. Exceptional opportunities for personal development and growth as we build something remarkable together. Interview process Initial call with Talent team (30 minutes) Manager Interview (60 minutes) Technical Assessment (e.g., code review, system design) (120 minutes) Values Interview with Tech Leadership (60 minutes) Offer Our commitment to Diversity hxer's are at the centre of everything we build. We know that progress depends on diverse perspectives, and we are committed to creating an environment where everyone can thrive, grow, and make an impact. We recognise there is always more to do, and we take responsibility for shaping a workplace that is not only diverse but genuinely inclusive. Diversity is not just the right thing to do, it is key to solving the complex challenges we choose to take on. By welcoming people from all backgrounds and experiences, we strengthen our ability to question assumptions, push boundaries, and design solutions that endure. If you're energised by complexity and motivated to grow, we encourage you to apply and join our global team. Next steps If this opportunity resonates with you, we encourage you to apply or share it with your connections! Our dedicated talent team reviews all applications, and we promise to provide feedback regardless of the outcome. For more information about applying and to view other opportunities, you can visit our careers page. Please note that background checks will be conducted as part of the hiring process to ensure compliance with our governance policies. We handle all background checks sensitively and in full compliance with relevant regulations. All applicant data will be processed in accordance with data protection regulations and our privacy policy.
About the team Q-CTRL's Quantum Sensing Research team performs basic and applied research in quantum sensing and quantum-enabled navigation. It is a highly dynamic team comprising approximately 30 specialists in theoretical and experimental atomic physics, cold-atom interferometry, navigation modelling, and modern Bayesian estimation and signal processing techniques. The Quantum Sensing Research and Quantum Sensing Engineering teams work closely together, translating novel quantum sensing research into a useful capability and product. We are focussed on pushing the boundary of what is possible in quantum sensing and ensuring our R&D has real-world impact. About the role This role aims to perform essential research and development into next generation quantum sensors. The role will be working on control solutions, control system development, and classical and quantum sensor fusion algorithms to enhance the performance of real-world quantum sensors using atom interferometry. This will involve developing novel simulation tools and partnering with experimental physicists to perform data analysis for assessing sensor performance in real-world environments and demonstrating your new methods function. Additionally, you will contribute to the efficient and effective functioning of Q-CTRL. This will sometimes include helping out regardless of boundaries of responsibility to help us achieve our mission of making quantum technology useful. What you'll be doing: Perform essential research and development into novel quantum control solutions and sensor fusion algorithms to enhance the performance of real-world quantum sensors (including atom interferometers and magnetometers). Develop theoretical models and numerical simulation tools suitable for assessing the performance of quantum sensors in real-world environments. Analyse sensor performance in realistic environments and apply optimization and machine learning techniques for performance enhancement. Work closely with our quantum control engineers, experimental physicists, and sensor hardware specialists to deploy your developed quantum control and sensor fusion protocols on real quantum sensor hardware. Collaborate with your colleagues in the Quantum Sensing (Modelling) Team, the Quantum Sensing Division, and the company more broadly. Share your insights into control-augmented quantum sensing with the broader Quantum Sensing Division, company, external stakeholders and customers through verbal presentations and written outlets (e.g. academic publications, technical reports, blog posts). Other duties within the Employee's skills and experience, or with reasonable training. Ideally you'll have: A PhD in Physics, Engineering or a closely related discipline. Experience in the theory, numerical modelling, and/or optimization of one or more of the following: Atom interferometry, Cold and/or ultracold atomic systems, Quantum sensing in warm atomic vapours, Pulse-level optimisation and quantum control techniques. Strong desire to work with a world leading team and a company that is fundamentally building the future of the quantum technology industry. Bonus points if you have (but not essential): Expertise with Python programming language for scientific computing. Experience modelling real quantum experiments/hardware and working closely with both theoretical and experimental teams. Demonstrated experience in improving experimental outcomes through novel signal processing or denoising algorithms. About Q-CTRL Q-CTRL is the global leader in AI-powered quantum control infrastructure software. We build the tools that make quantum technology useful, solving the hardest challenges in quantum computing and quantum sensing to deliver real-world impact. Founded in 2017, we operate globally with offices in Sydney, Los Angeles, San Francisco, Berlin, and Oxford. Our teams bring together technical and multi-disciplinary expertise across the product lifecycle, and we're hiring talent to help scale every part of the business. We work quickly to turn cutting edge science into deployable technology. In 2024 we raised US$113 million in Series B funding, the largest aggregate investment for a quantum software company. Six months later we delivered the first commercial quantum advantage with Ironstone Opal, our field validated quantum navigation solution for defense and industry. At Q-CTRL, we prioritize outcomes over hours. We offer flexibility, equity potential, and competitive benefits that reflect our high-performance culture. If you're ready to help shape the future of quantum, we'd love to hear from you!
Dec 13, 2025
Full time
About the team Q-CTRL's Quantum Sensing Research team performs basic and applied research in quantum sensing and quantum-enabled navigation. It is a highly dynamic team comprising approximately 30 specialists in theoretical and experimental atomic physics, cold-atom interferometry, navigation modelling, and modern Bayesian estimation and signal processing techniques. The Quantum Sensing Research and Quantum Sensing Engineering teams work closely together, translating novel quantum sensing research into a useful capability and product. We are focussed on pushing the boundary of what is possible in quantum sensing and ensuring our R&D has real-world impact. About the role This role aims to perform essential research and development into next generation quantum sensors. The role will be working on control solutions, control system development, and classical and quantum sensor fusion algorithms to enhance the performance of real-world quantum sensors using atom interferometry. This will involve developing novel simulation tools and partnering with experimental physicists to perform data analysis for assessing sensor performance in real-world environments and demonstrating your new methods function. Additionally, you will contribute to the efficient and effective functioning of Q-CTRL. This will sometimes include helping out regardless of boundaries of responsibility to help us achieve our mission of making quantum technology useful. What you'll be doing: Perform essential research and development into novel quantum control solutions and sensor fusion algorithms to enhance the performance of real-world quantum sensors (including atom interferometers and magnetometers). Develop theoretical models and numerical simulation tools suitable for assessing the performance of quantum sensors in real-world environments. Analyse sensor performance in realistic environments and apply optimization and machine learning techniques for performance enhancement. Work closely with our quantum control engineers, experimental physicists, and sensor hardware specialists to deploy your developed quantum control and sensor fusion protocols on real quantum sensor hardware. Collaborate with your colleagues in the Quantum Sensing (Modelling) Team, the Quantum Sensing Division, and the company more broadly. Share your insights into control-augmented quantum sensing with the broader Quantum Sensing Division, company, external stakeholders and customers through verbal presentations and written outlets (e.g. academic publications, technical reports, blog posts). Other duties within the Employee's skills and experience, or with reasonable training. Ideally you'll have: A PhD in Physics, Engineering or a closely related discipline. Experience in the theory, numerical modelling, and/or optimization of one or more of the following: Atom interferometry, Cold and/or ultracold atomic systems, Quantum sensing in warm atomic vapours, Pulse-level optimisation and quantum control techniques. Strong desire to work with a world leading team and a company that is fundamentally building the future of the quantum technology industry. Bonus points if you have (but not essential): Expertise with Python programming language for scientific computing. Experience modelling real quantum experiments/hardware and working closely with both theoretical and experimental teams. Demonstrated experience in improving experimental outcomes through novel signal processing or denoising algorithms. About Q-CTRL Q-CTRL is the global leader in AI-powered quantum control infrastructure software. We build the tools that make quantum technology useful, solving the hardest challenges in quantum computing and quantum sensing to deliver real-world impact. Founded in 2017, we operate globally with offices in Sydney, Los Angeles, San Francisco, Berlin, and Oxford. Our teams bring together technical and multi-disciplinary expertise across the product lifecycle, and we're hiring talent to help scale every part of the business. We work quickly to turn cutting edge science into deployable technology. In 2024 we raised US$113 million in Series B funding, the largest aggregate investment for a quantum software company. Six months later we delivered the first commercial quantum advantage with Ironstone Opal, our field validated quantum navigation solution for defense and industry. At Q-CTRL, we prioritize outcomes over hours. We offer flexibility, equity potential, and competitive benefits that reflect our high-performance culture. If you're ready to help shape the future of quantum, we'd love to hear from you!
About the team Q-CTRL's Quantum Sensing Research team performs basic and applied research in quantum sensing and quantum-enabled navigation. It is a highly dynamic team comprising approximately 30 specialists in theoretical and experimental atomic physics, cold-atom interferometry, navigation modelling, and modern Bayesian estimation and signal processing techniques. The Quantum Sensing Research and Quantum Sensing Engineering teams work closely together, translating novel quantum sensing research into a useful capability and product. We are focused on pushing the boundary of what is possible in quantum sensing and ensuring our R&D has real-world impact. This role aims to perform essential software development to support Q-CTRL's quantum sensors taking them from the laboratory to the field. This position will be focused on data analysis and signal processing across a range of Q-CTRL's prototypes and fieldable quantum sensors. This position will develop novel algorithms to extract the optimal performance through advanced noise removal techniques and sensor fusion between multiple classical and quantum sensors. Additionally, you will contribute to the efficient and effective functioning of Q-CTRL. This will sometimes include helping out regardless of boundaries of responsibility to help us achieve our mission of making quantum technology useful. What you'll be doing: Perform essential research and development into novel quantum control solutions and sensor fusion algorithms to enhance the performance of real-world quantum sensors (including atom interferometers and magnetometers). Develop theoretical models and numerical simulation tools suitable for assessing the performance of quantum sensors in real-world environments. Analyse sensor performance in realistic environments and apply optimization and machine learning techniques for performance enhancement. Work closely with our quantum control engineers, experimental physicists, and sensor hardware specialists to deploy your developed quantum control and sensor fusion protocols on real quantum sensor hardware. Collaborate with your colleagues in the Quantum Sensing (Modelling) Team, the Quantum Sensing Division, and the company more broadly. Share your insights into control-augmented quantum sensing with the broader Quantum Sensing Division, company, external stakeholders and customers through verbal presentations and written outlets (e.g. academic publications, technical reports, blog posts). Other duties within the Employee's skills and experience, or with reasonable training. Ideally you'll have: A PhD in Physics, Engineering or a closely related discipline. Experience in the theory, numerical modelling, and/or optimization of one or more of the following: Atom interferometry, Cold and/or ultracold atomic systems, Quantum sensing in warm atomic vapours, Pulse-level optimisation and quantum control techniques. Knowledge of denoising and signal processing techniques for optimally extracting signals. Finally, you will have a strong desire to work with a world leading team and a company that is fundamentally building the future of the quantum technology industry. Bonus points if you have (but not essential): Expertise with Python programming language for scientific computing. Experience modelling real quantum experiments/hardware and working closely with both theoretical and experimental teams. Demonstrated experience in improving experimental outcomes through novel signal processing or denoising algorithms About Q-CTRL Q-CTRL is the global leader in AI-powered quantum control infrastructure software. We build the tools that make quantum technology useful, solving the hardest challenges in quantum computing and quantum sensing to deliver real-world impact. Founded in 2017, we operate globally with offices in Sydney, Los Angeles, San Francisco, Berlin, and Oxford. Our teams bring together technical and multi-disciplinary expertise across the product lifecycle, and we're hiring talent to help scale every part of the business. We work quickly to turn cutting-edge science into deployable technology. In 2024 we raised US$113 million in Series B funding, the largest aggregate investment for a quantum software company. Six months later we delivered the first commercial quantum advantage with Ironstone Opal, our field-validated quantum navigation solution for defense and industry. At Q-CTRL, we prioritize outcomes over hours. We offer flexibility, equity potential, and competitive benefits that reflect our high-performance culture. If you're ready to help shape the future of quantum, we'd love to hear from you!
Dec 12, 2025
Full time
About the team Q-CTRL's Quantum Sensing Research team performs basic and applied research in quantum sensing and quantum-enabled navigation. It is a highly dynamic team comprising approximately 30 specialists in theoretical and experimental atomic physics, cold-atom interferometry, navigation modelling, and modern Bayesian estimation and signal processing techniques. The Quantum Sensing Research and Quantum Sensing Engineering teams work closely together, translating novel quantum sensing research into a useful capability and product. We are focused on pushing the boundary of what is possible in quantum sensing and ensuring our R&D has real-world impact. This role aims to perform essential software development to support Q-CTRL's quantum sensors taking them from the laboratory to the field. This position will be focused on data analysis and signal processing across a range of Q-CTRL's prototypes and fieldable quantum sensors. This position will develop novel algorithms to extract the optimal performance through advanced noise removal techniques and sensor fusion between multiple classical and quantum sensors. Additionally, you will contribute to the efficient and effective functioning of Q-CTRL. This will sometimes include helping out regardless of boundaries of responsibility to help us achieve our mission of making quantum technology useful. What you'll be doing: Perform essential research and development into novel quantum control solutions and sensor fusion algorithms to enhance the performance of real-world quantum sensors (including atom interferometers and magnetometers). Develop theoretical models and numerical simulation tools suitable for assessing the performance of quantum sensors in real-world environments. Analyse sensor performance in realistic environments and apply optimization and machine learning techniques for performance enhancement. Work closely with our quantum control engineers, experimental physicists, and sensor hardware specialists to deploy your developed quantum control and sensor fusion protocols on real quantum sensor hardware. Collaborate with your colleagues in the Quantum Sensing (Modelling) Team, the Quantum Sensing Division, and the company more broadly. Share your insights into control-augmented quantum sensing with the broader Quantum Sensing Division, company, external stakeholders and customers through verbal presentations and written outlets (e.g. academic publications, technical reports, blog posts). Other duties within the Employee's skills and experience, or with reasonable training. Ideally you'll have: A PhD in Physics, Engineering or a closely related discipline. Experience in the theory, numerical modelling, and/or optimization of one or more of the following: Atom interferometry, Cold and/or ultracold atomic systems, Quantum sensing in warm atomic vapours, Pulse-level optimisation and quantum control techniques. Knowledge of denoising and signal processing techniques for optimally extracting signals. Finally, you will have a strong desire to work with a world leading team and a company that is fundamentally building the future of the quantum technology industry. Bonus points if you have (but not essential): Expertise with Python programming language for scientific computing. Experience modelling real quantum experiments/hardware and working closely with both theoretical and experimental teams. Demonstrated experience in improving experimental outcomes through novel signal processing or denoising algorithms About Q-CTRL Q-CTRL is the global leader in AI-powered quantum control infrastructure software. We build the tools that make quantum technology useful, solving the hardest challenges in quantum computing and quantum sensing to deliver real-world impact. Founded in 2017, we operate globally with offices in Sydney, Los Angeles, San Francisco, Berlin, and Oxford. Our teams bring together technical and multi-disciplinary expertise across the product lifecycle, and we're hiring talent to help scale every part of the business. We work quickly to turn cutting-edge science into deployable technology. In 2024 we raised US$113 million in Series B funding, the largest aggregate investment for a quantum software company. Six months later we delivered the first commercial quantum advantage with Ironstone Opal, our field-validated quantum navigation solution for defense and industry. At Q-CTRL, we prioritize outcomes over hours. We offer flexibility, equity potential, and competitive benefits that reflect our high-performance culture. If you're ready to help shape the future of quantum, we'd love to hear from you!
Our Mission Our mission is to restore cell health and resilience through cell rejuvenation to reverse disease, injury, and the disabilities that can occur throughout life. For more information, see our website at Our Value Our Single Altos Value: Everyone Owns Achieving Our Inspiring Mission. Diversity at Altos We believe that diverse perspectives are foundational to scientific innovation and inquiry. At Altos, exceptional scientists and industry leaders from around the world work together to advance a shared mission. Our intentional focus is on Belonging, so that all employees know that they are valued for their unique perspectives. We are all accountable for sustaining a diverse and inclusive environment. What You Will Contribute To Altos The Altos Labs Institute of Computation (IoC) is seeking an independent and highly motivated Computational Biology Scientist to build, maintain, and support our hybrid AI initiative to model cellular processes. The position will work in a multi-disciplinary research environment to assist investigators in algorithm development and implementation, and will work across the software development life cycle, including software design, coding, testing, deployment, and maintenance. The ideal candidate will be a good communicator and have a growth mindset with an enthusiasm for scientific discovery and strong interest in applying a combination of AI methods and mathematical models toward understanding mechanistic aspects of cellular processes with all experimental labs at Altos Labs. The ideal candidate is particularly interested in multi-scale (systems) biochemistry and molecular biology of reprogramming, a dynamic field that seeks to understand complex biological systems by integrating data about biochemical components and help design interventions that direct cellular states along desired trajectories. This includes working with quantitative "big data" and building predictive models to develop novel theories. Our ultimate goal is to contribute to improving human lives through better-informed treatments. Responsibilities: - Contribute to modeling, simulation, and analysis of mechanistic or data-driven models of biological processes through software development in a highly collaborative environment. This will include: - Exploring and developing ML algorithms to solve complex problems and draw conclusions. Apply state of the art AI tools to infer and model cellular dynamics from large data sets Applying strong coding experience to model development using existing languages(s) and framework(s) Using AI as a tool to answer a scientific question, involved in the research and development aspects - Design and implement pipelines to mechanistically model cellular processes from model instantiation to simulation, calibration, and analysis. Collaborate with other scientists to characterize model behaviors, predictions, refinements, and accelerate the biological knowledge discovery. Developing research programs on partial cellular reprogramming, with the intent of closing the feedback loop between experimental and theoretical work, at multiple scales, from molecules to cells, tissues and even whole organisms. Working at the interface between mathematical and computational models, and AI methods, with the aim of establishing design principles of rejuvenated cells. Collaborating with both experimental and computational scientists across Altos. Influence best practices in areas such as Bayesian optimization, causal inference, building and assessing predictive models, analyzing biological networks, and analysis and visualization of -omics data. Maintain documentation and keep up-to-date as needed. Contribute to software releases (e.g. via GitHub, PyPI, Anaconda, Docker Hub). Who You Are The ideal candidate will be a strong collaborator with a background in dynamical systems and mathematical modeling of biological systems. Be able to demonstrate significant AI experience / application in conjunction with a working understanding of cell biology and/or biophysics. The level of the position will depend on the qualifications of the selected candidate. Minimum Qualifications - PhD in Biology, Computational Biology, Computer Science, or closely related field with strong emphasis in biological modeling. Relevant industry and/or academic experience. Expertise and a track record of using methods from artificial intelligence for biological design. Record of applications of dynamical systems to problems of synthetic biology. Record of applications of data driven modeling methods and AI to synthetic biology. Demonstrable experience of developing new statistical and machine learning-based methods for analyzing biological data to produce biological insights about cell health and rejuvenation. Experience working with mechanistic models (PDE/ODE, SDE, dynamical systems). Experience working with state of the art ML tools (transformers, GNN, etc.) Experience working with hybrid AI models (e.g., SINDy) Working knowledge of cell biology. Experience with Python, C, R or related scientific computing languages. Preferred Qualifications - Experience working with causal representation learning Experience with RAG (retrieval-augmented generation) and GraphRAG a big plus Experience with building and deploying software on GitHub, PyPI, Anaconda Cloud, and Docker Hub, as well as use of Pytorch lightning, Git, test-driven design. Knowledge of parallel computing technologies, such as NVIDIA's CUDA platform, OpenCL, and OpenMPI. The salary range for Cambridge, UK: - Senior Scientist I, Computational Biology: £75,000 - £117,500 Senior Scientist II, Computational Biology: £94,000 - £152,500 Exact compensation may vary based on skills, experience, and location.
Dec 12, 2025
Full time
Our Mission Our mission is to restore cell health and resilience through cell rejuvenation to reverse disease, injury, and the disabilities that can occur throughout life. For more information, see our website at Our Value Our Single Altos Value: Everyone Owns Achieving Our Inspiring Mission. Diversity at Altos We believe that diverse perspectives are foundational to scientific innovation and inquiry. At Altos, exceptional scientists and industry leaders from around the world work together to advance a shared mission. Our intentional focus is on Belonging, so that all employees know that they are valued for their unique perspectives. We are all accountable for sustaining a diverse and inclusive environment. What You Will Contribute To Altos The Altos Labs Institute of Computation (IoC) is seeking an independent and highly motivated Computational Biology Scientist to build, maintain, and support our hybrid AI initiative to model cellular processes. The position will work in a multi-disciplinary research environment to assist investigators in algorithm development and implementation, and will work across the software development life cycle, including software design, coding, testing, deployment, and maintenance. The ideal candidate will be a good communicator and have a growth mindset with an enthusiasm for scientific discovery and strong interest in applying a combination of AI methods and mathematical models toward understanding mechanistic aspects of cellular processes with all experimental labs at Altos Labs. The ideal candidate is particularly interested in multi-scale (systems) biochemistry and molecular biology of reprogramming, a dynamic field that seeks to understand complex biological systems by integrating data about biochemical components and help design interventions that direct cellular states along desired trajectories. This includes working with quantitative "big data" and building predictive models to develop novel theories. Our ultimate goal is to contribute to improving human lives through better-informed treatments. Responsibilities: - Contribute to modeling, simulation, and analysis of mechanistic or data-driven models of biological processes through software development in a highly collaborative environment. This will include: - Exploring and developing ML algorithms to solve complex problems and draw conclusions. Apply state of the art AI tools to infer and model cellular dynamics from large data sets Applying strong coding experience to model development using existing languages(s) and framework(s) Using AI as a tool to answer a scientific question, involved in the research and development aspects - Design and implement pipelines to mechanistically model cellular processes from model instantiation to simulation, calibration, and analysis. Collaborate with other scientists to characterize model behaviors, predictions, refinements, and accelerate the biological knowledge discovery. Developing research programs on partial cellular reprogramming, with the intent of closing the feedback loop between experimental and theoretical work, at multiple scales, from molecules to cells, tissues and even whole organisms. Working at the interface between mathematical and computational models, and AI methods, with the aim of establishing design principles of rejuvenated cells. Collaborating with both experimental and computational scientists across Altos. Influence best practices in areas such as Bayesian optimization, causal inference, building and assessing predictive models, analyzing biological networks, and analysis and visualization of -omics data. Maintain documentation and keep up-to-date as needed. Contribute to software releases (e.g. via GitHub, PyPI, Anaconda, Docker Hub). Who You Are The ideal candidate will be a strong collaborator with a background in dynamical systems and mathematical modeling of biological systems. Be able to demonstrate significant AI experience / application in conjunction with a working understanding of cell biology and/or biophysics. The level of the position will depend on the qualifications of the selected candidate. Minimum Qualifications - PhD in Biology, Computational Biology, Computer Science, or closely related field with strong emphasis in biological modeling. Relevant industry and/or academic experience. Expertise and a track record of using methods from artificial intelligence for biological design. Record of applications of dynamical systems to problems of synthetic biology. Record of applications of data driven modeling methods and AI to synthetic biology. Demonstrable experience of developing new statistical and machine learning-based methods for analyzing biological data to produce biological insights about cell health and rejuvenation. Experience working with mechanistic models (PDE/ODE, SDE, dynamical systems). Experience working with state of the art ML tools (transformers, GNN, etc.) Experience working with hybrid AI models (e.g., SINDy) Working knowledge of cell biology. Experience with Python, C, R or related scientific computing languages. Preferred Qualifications - Experience working with causal representation learning Experience with RAG (retrieval-augmented generation) and GraphRAG a big plus Experience with building and deploying software on GitHub, PyPI, Anaconda Cloud, and Docker Hub, as well as use of Pytorch lightning, Git, test-driven design. Knowledge of parallel computing technologies, such as NVIDIA's CUDA platform, OpenCL, and OpenMPI. The salary range for Cambridge, UK: - Senior Scientist I, Computational Biology: £75,000 - £117,500 Senior Scientist II, Computational Biology: £94,000 - £152,500 Exact compensation may vary based on skills, experience, and location.
XYZ Reality are a leading Augmented Reality technology company based in London, developing the world's first AR HMD for Construction that aims to eliminate 2D plans. This allows builders, for the first time, to walk on site and use AR/3D models to construct from start to finish enabling the possibilities to 'Built is right, First time!' We are currently looking for a talented full time Production Assembly Engineer to join our fast growing team. This role will report directly into the Production Director and will work alongside the Quality, Software and Hardware teams to ensure complex electro mechanical devices are produced in a timely manner at their highest quality. By working at XYZ Reality all staff enjoy the following benefits: Benefits Competitive Salary 25 days paid holidays plus bank holidays Company pension Private Healthcare through Vitality Weekly free lunch Cycle to work scheme Flexible working hours Summer and Christmas parties Easily accessible location Casual dress code Modern, friendly environment Start up culture Playing a valuable part in revolutionising the industry The successful candidate will be responsible for the assembly of all our Augmented Reality devices from the HMD to the supporting accessories. We are looking for someone who can carefully follow assembly procedures and ensure assembly is carried out with the highest care and attention to quality. This role will involve good communication and organisation skills, directly liaising with our tech leads, bringing each aspect of our product through assembly, to a completed sales ready state. Attention to detail is critical. We pride our business on accuracy and precision, which is essential to this role to ensure the highest level of quality is achieved and reflected in our premium product offering. Extensive experience in hands on product assembly, preferably on products that have a high level of complexity, including electronics, and software installation. Good time management skills & working to a production plan. Good organisational skills will be required to ensure care is taken in looking after tools and equipment required to carry out assembly tasks. Ability to utilise an Inventory Management System to create picking lists, manage stock levels and update from stock counts when required. Experience debugging electronics and running repairs and rework on mechanical product assemblies. Ability to work with basic command prompts for software testing during the assembly process. Confidence with software and firmware uploading during the assembly process. Ability to follow clear assembly SOP's and support with updates and document optimisation where required. Constant search for process improvement. Working directly with Design and Engineering teams for jigs and fixtures to improve the efficiency of assembly. Experience working alongside advanced assembly/calibration equipment (robotics etc.) preferable but not essential. Qualifications 3 years+ credible industry experience including: Working on assembly lines Following SOP's Following and carrying out production processes Utilised Inventory Management Systems Advanced user in MS Office (Word, Excel, Power Point)
Dec 11, 2025
Full time
XYZ Reality are a leading Augmented Reality technology company based in London, developing the world's first AR HMD for Construction that aims to eliminate 2D plans. This allows builders, for the first time, to walk on site and use AR/3D models to construct from start to finish enabling the possibilities to 'Built is right, First time!' We are currently looking for a talented full time Production Assembly Engineer to join our fast growing team. This role will report directly into the Production Director and will work alongside the Quality, Software and Hardware teams to ensure complex electro mechanical devices are produced in a timely manner at their highest quality. By working at XYZ Reality all staff enjoy the following benefits: Benefits Competitive Salary 25 days paid holidays plus bank holidays Company pension Private Healthcare through Vitality Weekly free lunch Cycle to work scheme Flexible working hours Summer and Christmas parties Easily accessible location Casual dress code Modern, friendly environment Start up culture Playing a valuable part in revolutionising the industry The successful candidate will be responsible for the assembly of all our Augmented Reality devices from the HMD to the supporting accessories. We are looking for someone who can carefully follow assembly procedures and ensure assembly is carried out with the highest care and attention to quality. This role will involve good communication and organisation skills, directly liaising with our tech leads, bringing each aspect of our product through assembly, to a completed sales ready state. Attention to detail is critical. We pride our business on accuracy and precision, which is essential to this role to ensure the highest level of quality is achieved and reflected in our premium product offering. Extensive experience in hands on product assembly, preferably on products that have a high level of complexity, including electronics, and software installation. Good time management skills & working to a production plan. Good organisational skills will be required to ensure care is taken in looking after tools and equipment required to carry out assembly tasks. Ability to utilise an Inventory Management System to create picking lists, manage stock levels and update from stock counts when required. Experience debugging electronics and running repairs and rework on mechanical product assemblies. Ability to work with basic command prompts for software testing during the assembly process. Confidence with software and firmware uploading during the assembly process. Ability to follow clear assembly SOP's and support with updates and document optimisation where required. Constant search for process improvement. Working directly with Design and Engineering teams for jigs and fixtures to improve the efficiency of assembly. Experience working alongside advanced assembly/calibration equipment (robotics etc.) preferable but not essential. Qualifications 3 years+ credible industry experience including: Working on assembly lines Following SOP's Following and carrying out production processes Utilised Inventory Management Systems Advanced user in MS Office (Word, Excel, Power Point)
About us UCL is a diverse global community of world-class academics, students, industry links, external partners, and alumni. Our powerful collective of individuals and institutions work together to explore new possibilities. Academic excellence is demonstrated by our 30 Nobel laureates and our top ranking in the UK for research strength. We are a global university with 14,300 employees and over 150 nationalities represented in a student body of 43,800 students. Our main location in Central London has recently been augmented by a campus on the Queen Elizabeth Olympic Park. The UCL Faculty of Engineering is the largest of its kind in the UK, ranked as the second most impactful engineering faculty in Europe and first for Research Strength in the Research Excellence Framework. Within Engineering, the UCL Department of Civil, Environmental & Geomatic Engineering is a multidisciplinary department renowned for innovation and excellence in research and teaching. We are ranked in the Top 50 worldwide for civil and structural engineering according to the 2021 QS World University and Subject rankings. About the role The Making & Production Team support all aspects of Technical work on projects at the UCL PEARL facility. Ensure that the facility has the appropriate making and production capabilities to support the experimental work required Lead, develop and line-manage dirent line reports Collaborate and build positive relationships with UCL members and external contacts to ensure current and future technical infrastructure requirements and strategy Be the main point of contact for technical issues Liaise with all users of the facility (internal and external), researchers and research technicians to assist and advise them on making and production aspects of their experiments/events so that they run smoothly and safely On-site First (working more than 80% of time on-site) About you Key requirements of the role are: Demonstrated ability to lead and manage technical teams, ensuring effective performance and development. Proven experience managing supplier, distributor, and contractor relationships to deliver projects on time and within budget. Broad technical theatre expertise or similar, including sound, lighting, set construction, design, and stage management. In-depth knowledge of Health and Safety regulations relevant to theatre environments or similar (e.g.Regulatory Reform (Fire Safety) Order/COSHH/LOLER/PUWER/working at height). Proven ability to articulate clearly to Project teams the user requirements to aid the experimental design process . Advanced proficiency in 2D and 3D CAD software. What we offer To apply for the vacancy please click on the 'Apply Now' button below. If you have any queries regarding the vacancy or the application process, please contact If you need reasonable adjustments or a more accessible format to apply for this job online or have any queries about the application process, please contact the HR team at We will consider applications to work on a part-time, flexible and job share basis wherever possible. The UCL Ways of Working supports colleagues to be successful and happy at UCL through sharing expectations around how we work - please visit to find out more. In the event we get a high number of applications, we may close the advert early before the published closing date. As a minimum we will keep all adverts open for 2 weeks. As well as the exciting opportunities this role presents, we also offer some great benefits some of which are below: 41 Days holiday (27 days annual leave 8 bank holiday and 6 closure days) Additional 5 days' annual leave purchase scheme Defined benefit career average revalued earnings pension scheme (CARE) Cycle to work scheme and season ticket loan Immigration loan Relocation scheme for certain posts On-Site nursery On-site gym Enhanced maternity, paternity and adoption pay Employee assistance programme: Staff Support Service Discounted medical insurance Visit to find out more. Our commitment to Equality, Diversity and Inclusion As London's Global University, we know diversity fosters creativity and innovation, and we want our community to represent the diversity of the world's talent. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong. We therefore particularly encourage applications from candidates who are likely to be underrepresented in UCL's workforce. These include people from Black, Asian and ethnic minority backgrounds; disabled people; LGBTQI+ people; and for our Grade 9 and 10 roles, women. Our department holds an Athena SWAN Bronze award, in recognition of our commitment to advancing gender equality. You can read more about our commitment to Equality, Diversity and Inclusion here :
Dec 11, 2025
Full time
About us UCL is a diverse global community of world-class academics, students, industry links, external partners, and alumni. Our powerful collective of individuals and institutions work together to explore new possibilities. Academic excellence is demonstrated by our 30 Nobel laureates and our top ranking in the UK for research strength. We are a global university with 14,300 employees and over 150 nationalities represented in a student body of 43,800 students. Our main location in Central London has recently been augmented by a campus on the Queen Elizabeth Olympic Park. The UCL Faculty of Engineering is the largest of its kind in the UK, ranked as the second most impactful engineering faculty in Europe and first for Research Strength in the Research Excellence Framework. Within Engineering, the UCL Department of Civil, Environmental & Geomatic Engineering is a multidisciplinary department renowned for innovation and excellence in research and teaching. We are ranked in the Top 50 worldwide for civil and structural engineering according to the 2021 QS World University and Subject rankings. About the role The Making & Production Team support all aspects of Technical work on projects at the UCL PEARL facility. Ensure that the facility has the appropriate making and production capabilities to support the experimental work required Lead, develop and line-manage dirent line reports Collaborate and build positive relationships with UCL members and external contacts to ensure current and future technical infrastructure requirements and strategy Be the main point of contact for technical issues Liaise with all users of the facility (internal and external), researchers and research technicians to assist and advise them on making and production aspects of their experiments/events so that they run smoothly and safely On-site First (working more than 80% of time on-site) About you Key requirements of the role are: Demonstrated ability to lead and manage technical teams, ensuring effective performance and development. Proven experience managing supplier, distributor, and contractor relationships to deliver projects on time and within budget. Broad technical theatre expertise or similar, including sound, lighting, set construction, design, and stage management. In-depth knowledge of Health and Safety regulations relevant to theatre environments or similar (e.g.Regulatory Reform (Fire Safety) Order/COSHH/LOLER/PUWER/working at height). Proven ability to articulate clearly to Project teams the user requirements to aid the experimental design process . Advanced proficiency in 2D and 3D CAD software. What we offer To apply for the vacancy please click on the 'Apply Now' button below. If you have any queries regarding the vacancy or the application process, please contact If you need reasonable adjustments or a more accessible format to apply for this job online or have any queries about the application process, please contact the HR team at We will consider applications to work on a part-time, flexible and job share basis wherever possible. The UCL Ways of Working supports colleagues to be successful and happy at UCL through sharing expectations around how we work - please visit to find out more. In the event we get a high number of applications, we may close the advert early before the published closing date. As a minimum we will keep all adverts open for 2 weeks. As well as the exciting opportunities this role presents, we also offer some great benefits some of which are below: 41 Days holiday (27 days annual leave 8 bank holiday and 6 closure days) Additional 5 days' annual leave purchase scheme Defined benefit career average revalued earnings pension scheme (CARE) Cycle to work scheme and season ticket loan Immigration loan Relocation scheme for certain posts On-Site nursery On-site gym Enhanced maternity, paternity and adoption pay Employee assistance programme: Staff Support Service Discounted medical insurance Visit to find out more. Our commitment to Equality, Diversity and Inclusion As London's Global University, we know diversity fosters creativity and innovation, and we want our community to represent the diversity of the world's talent. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong. We therefore particularly encourage applications from candidates who are likely to be underrepresented in UCL's workforce. These include people from Black, Asian and ethnic minority backgrounds; disabled people; LGBTQI+ people; and for our Grade 9 and 10 roles, women. Our department holds an Athena SWAN Bronze award, in recognition of our commitment to advancing gender equality. You can read more about our commitment to Equality, Diversity and Inclusion here :
Locations : London Gurgaon 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 BCG is transforming the way our people experience technology through the power of Generative AI. Ava, our IT Support GenAI chatbot, is live and serving over 40,000 BCG users globally, helping employees get IT help faster, smarter, and more intuitively than ever before. As the Global IT Software Engineer Director - GenAI, you will play a hands-on role in building upon Ava's success. You will design, develop, and deliver high-impact GenAI solutions that expand Ava's capabilities and reach. You will serve as the technical counterpart to the Product Owner, accountable for delivery speed, quality, and ensuring alignment between the technical roadmap and product vision. You'll work across teams to scale Ava's impact and apply emerging GenAI technologies to improve IT service experiences for BCG's global workforce. YOU'RE GOOD AT Taking ownership and driving complex technical solutions from design through delivery. Being hands-on with modern cloud and AI technologies, while maintaining focus on delivery quality and scalability. Collaborating effectively with product managers, engineers, and architecture teams to translate business goals into practical solutions. Balancing speed, quality, and technical depth, ensuring solutions are secure, maintainable, and aligned to roadmap priorities. Staying curious and adaptive, quickly learning new technologies and applying them to enterprise-scale challenges. What You'll Bring Full-stack engineering expertise with experience in cloud-native application development (AWS preferred). Hands-on experience in building and deploying Generative AI or LLM-based systems at scale. Proficiency in at least two programming languages such as Java, .NET, TypeScript, or Python, along with experience in modern frontend frameworks like React.js or Stencil. Deep understanding of authorization and authentication standards (OAuth) and secure-by-design development practices. Strong awareness of OWASP Top 10 and a proactive approach to identifying and mitigating security vulnerabilities during development. Experience designing and deploying Retrieval-Augmented Generation (RAG) pipelines, working with LLM APIs (AWS Bedrock, OpenAI, Azure OpenAI), and using frameworks like LangChain or LangGraph. Strong knowledge of SDLC principles, CI/CD pipelines, and modern engineering practices. Excellent communication and collaboration skills to partner across engineering, product, and governance teams. Bachelor's degree in computer science, engineering, or related field (or equivalent experience) Who You'll Work With You will be part of the IT & Business Platforms (ITBP) team, partnering closely with the Genie team (BCG's internal GenAI platform built on AWS), as well as the AI Center of Excellence (AI CoE), Responsible AI, and Security/Architecture teams. Together, you'll deliver scalable, secure, and innovative GenAI solutions that transform how BCG's global employees engage with technology. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.
Dec 09, 2025
Full time
Locations : London Gurgaon 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 BCG is transforming the way our people experience technology through the power of Generative AI. Ava, our IT Support GenAI chatbot, is live and serving over 40,000 BCG users globally, helping employees get IT help faster, smarter, and more intuitively than ever before. As the Global IT Software Engineer Director - GenAI, you will play a hands-on role in building upon Ava's success. You will design, develop, and deliver high-impact GenAI solutions that expand Ava's capabilities and reach. You will serve as the technical counterpart to the Product Owner, accountable for delivery speed, quality, and ensuring alignment between the technical roadmap and product vision. You'll work across teams to scale Ava's impact and apply emerging GenAI technologies to improve IT service experiences for BCG's global workforce. YOU'RE GOOD AT Taking ownership and driving complex technical solutions from design through delivery. Being hands-on with modern cloud and AI technologies, while maintaining focus on delivery quality and scalability. Collaborating effectively with product managers, engineers, and architecture teams to translate business goals into practical solutions. Balancing speed, quality, and technical depth, ensuring solutions are secure, maintainable, and aligned to roadmap priorities. Staying curious and adaptive, quickly learning new technologies and applying them to enterprise-scale challenges. What You'll Bring Full-stack engineering expertise with experience in cloud-native application development (AWS preferred). Hands-on experience in building and deploying Generative AI or LLM-based systems at scale. Proficiency in at least two programming languages such as Java, .NET, TypeScript, or Python, along with experience in modern frontend frameworks like React.js or Stencil. Deep understanding of authorization and authentication standards (OAuth) and secure-by-design development practices. Strong awareness of OWASP Top 10 and a proactive approach to identifying and mitigating security vulnerabilities during development. Experience designing and deploying Retrieval-Augmented Generation (RAG) pipelines, working with LLM APIs (AWS Bedrock, OpenAI, Azure OpenAI), and using frameworks like LangChain or LangGraph. Strong knowledge of SDLC principles, CI/CD pipelines, and modern engineering practices. Excellent communication and collaboration skills to partner across engineering, product, and governance teams. Bachelor's degree in computer science, engineering, or related field (or equivalent experience) Who You'll Work With You will be part of the IT & Business Platforms (ITBP) team, partnering closely with the Genie team (BCG's internal GenAI platform built on AWS), as well as the AI Center of Excellence (AI CoE), Responsible AI, and Security/Architecture teams. Together, you'll deliver scalable, secure, and innovative GenAI solutions that transform how BCG's global employees engage with technology. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.
CAD-IT are currently looking for a highly motivated and experienced Project Manager to join our Technical Content team providing technical publications for a well-known automotive OEM. What you'll be doing: The successful candidate will join the technical content team responsible for leading and facilitating the scoping, design and delivery of various technical aftersales projects. You will report directly to the Head of Technical Content and be responsible for the following: Agree project objectives , benefits and plans for delivering these with your project stakeholders Define project tasks and manage resource requirements accordingly Lead on the creation, ownership and maintenance of project documentation, for example; exception reports, risks and issues logs, user stories for Agile based projects Develop and manage project schedules and progress updates Provide direction and support to project teams Liaise with all key stakeholders including relevant internal departments and global teams Manage quality assurance Continuously monitor risks and issues Manage exceptions and changes in programmes and projects Provide input to relevant review meetings and represent the company as required Any other ad hoc management responsibilities as they arise Your Skills and Experience: A proven and successful background in project delivery at a senior level, and a broad range of project management skills, eg PRINCE2, PMP, SCRUM Experience of working in an Automotive environment or Engineering environment Experience in sprint planning, backlog maintenance, facilitating daily stand-up calls, sprint reviews, capacity planning and sprint retrospectives Familiar with tools such as Jira and Confluence Experience of collaborating closely and building excellent working relationships with customers, partners, and on-site technical teams Pro-active and pragmatic with regards to problem-solving Why CAD-IT? We are a software sales and consulting company focusing primarily on industrial aftermarket, Service Lifecycle Management (SLM), Industrial IoT and Augmented Reality application in Service. We are global partners with Siemens providing Service Business Strategy consultancy and support, Industry 4.0 for Service, outsourced technical publications support and digital transformation to industries globally. We are passionate about innovation and work collaboratively to give our very best to our staff and customers. Job satisfaction, wellbeing and career progression are top of our list for our employees. Joining our dynamic, ambitious and friendly team you'll be empowered to fulfil your potential and be part of an inclusive culture that values diversity and rewards innovation, hard work, integrity, and merit. We have an excellent Company Benefits package that focuses on employee reward and wellbeing: Private Medical Insurance 25 days annual leave + bank holidays Enhanced Maternity pay Companywide and team social events, plus more! Job Features Job Title Project Manager - Automotive Technical Aftersales Negotiable based on experience + Company Benefits
Dec 09, 2025
Full time
CAD-IT are currently looking for a highly motivated and experienced Project Manager to join our Technical Content team providing technical publications for a well-known automotive OEM. What you'll be doing: The successful candidate will join the technical content team responsible for leading and facilitating the scoping, design and delivery of various technical aftersales projects. You will report directly to the Head of Technical Content and be responsible for the following: Agree project objectives , benefits and plans for delivering these with your project stakeholders Define project tasks and manage resource requirements accordingly Lead on the creation, ownership and maintenance of project documentation, for example; exception reports, risks and issues logs, user stories for Agile based projects Develop and manage project schedules and progress updates Provide direction and support to project teams Liaise with all key stakeholders including relevant internal departments and global teams Manage quality assurance Continuously monitor risks and issues Manage exceptions and changes in programmes and projects Provide input to relevant review meetings and represent the company as required Any other ad hoc management responsibilities as they arise Your Skills and Experience: A proven and successful background in project delivery at a senior level, and a broad range of project management skills, eg PRINCE2, PMP, SCRUM Experience of working in an Automotive environment or Engineering environment Experience in sprint planning, backlog maintenance, facilitating daily stand-up calls, sprint reviews, capacity planning and sprint retrospectives Familiar with tools such as Jira and Confluence Experience of collaborating closely and building excellent working relationships with customers, partners, and on-site technical teams Pro-active and pragmatic with regards to problem-solving Why CAD-IT? We are a software sales and consulting company focusing primarily on industrial aftermarket, Service Lifecycle Management (SLM), Industrial IoT and Augmented Reality application in Service. We are global partners with Siemens providing Service Business Strategy consultancy and support, Industry 4.0 for Service, outsourced technical publications support and digital transformation to industries globally. We are passionate about innovation and work collaboratively to give our very best to our staff and customers. Job satisfaction, wellbeing and career progression are top of our list for our employees. Joining our dynamic, ambitious and friendly team you'll be empowered to fulfil your potential and be part of an inclusive culture that values diversity and rewards innovation, hard work, integrity, and merit. We have an excellent Company Benefits package that focuses on employee reward and wellbeing: Private Medical Insurance 25 days annual leave + bank holidays Enhanced Maternity pay Companywide and team social events, plus more! Job Features Job Title Project Manager - Automotive Technical Aftersales Negotiable based on experience + Company Benefits
The Onyx Research Data Tech organization represents a major investment by GSK R&D and Digital & Tech, designed to deliver a step-change in our ability to leverage data, knowledge, and prediction to find new medicines. We are a full stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data/metadata/knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next generation data experience for GSK's scientists, engineers, and decision makers, increasing productivity and reducing time spent on "data mechanics". Providing best in class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top tier talent. Aggressively engineering our data at scale to unlock the value of our combined data assets and predictions in real time. Onyx Product Management is at the heart of our mission, ensuring that everything from our infrastructure to platforms to end user facing data assets and environments is designed to maximize our impact on R&D. The Product Management team partners with R&D stakeholders and Onyx leadership to develop a strategic roadmap for all customer facing aspects of Onyx, including data assets, ontology, Knowledge Graph / semantic search, data/computing/analysis platforms, and data powered applications. Responsibilities Contribute to Product Development & Adoption: Actively contribute to the full product lifecycle, from development to launch and adoption, focusing on specific features and components within novel molecule design solutions for the scientific community at GSK. Support GenAI Strategy: Support the strategic integration and enhancement of GenAI capabilities within molecule design tools, helping to define and implement next generation AI powered functionalities. Collaborative Delivery: Partner closely with Onyx tech teams, R&D scientists, and leaders to facilitate the delivery of impactful cloud based products and solutions that leverage Generative AI and agentic capabilities. GenAI Feature Implementation Support: Contribute to the development and implementation of specific features within AI Agents, leveraging LLMs and Generative AI to automate well defined parts of scientific research tasks. Assist in the design and testing of human agent interaction components, focusing on specific conversational flows or user interface elements to enhance usability. Support the product lifecycle for individual models or agents by assisting with data gathering, testing of fine tuned models, and developing documentation for APIs/agents. Support the implementation of Model In The Loop designs by gathering R&D user feedback and contributing to the process. Participate in highly technical product discussions with engineering leaders, translating ambiguous scientific objectives into precise requirements for fine tuning foundational models, vector databases, and multi agent system architectures. Cross Functional Coordination: Coordinate with tech and R&D teams, including DevOps & Infrastructure, data engineering, computing platform engineering, data & knowledge platform engineering, program management teams and R&D data leadership teams, to align product strategies, gather input, ensuring clear communication and smooth execution. Product Release Support: Assist with product launch activities for new features, including preparing documentation, training materials, and support resources to ensure successful adoption. Performance Monitoring & Optimization: Monitor key metrics for specific product features, gather user feedback on performance, and identify potential areas for improvement. Qualifications Bachelor's degree in Bioinformatics, Computational Biology, cheminformatics, AI/ML, Computer Science, Software Engineering, or related discipline. Experience in product management with a proven track record of shipping 0 to 1 software products powered by AI/GenAI, LLMs, or autonomous agents in a commercial or large scale enterprise setting. Demonstrated experience executing product strategy for modern applications, including hands on experience with technologies core to AI systems such as vector databases, MLOps, retrieval augmented generation, and model fine tuning. Demonstrated technical fluency with cloud native architectures (e.g., AWS, GCP, Azure), API design, and the infrastructure required to serve and scale LLM based applications. Preferred Qualifications Master's degree or PhD in Bioinformatics, Computational Biology, Computational Chemistry, Data Science, Computer Science/Software Engineering, or related discipline. Experience contributing to products that involve AI agents, their tool utilisation (APIs, function calling), or the development of conversational AI interfaces. Hands on software engineering or data science experience in an AI/GenAI focused team prior to transitioning into product management. Familiarity with the architecture of modern transformer based models and an understanding of the strategic trade offs when selecting between proprietary, open source, or fine tuned custom models. Experience contributing to products that manage or interpret complex, unstructured biomedical data. Familiarity with Model Context Protocols (MCP) for LLM powered agents, including basic concepts of prompt engineering, context window management, and maintaining model coherence in multi turn interactions. Foundational knowledge of bioinformatics, computational biology, or cheminformatics, and an interest in how agentic AI can impact drug discovery. Hands on experience with product management tools such as Confluence, Jira, Miro, Monday, Notion, etc. Previous experience in the life science industry or biopharma R&D is a plus. Closing Date for Applications: Tuesday 6th January 2026 (COB) PLEASE NOTE: As we approach the holiday season, our recruitment team and hiring managers will have limited availability between now and early January. We encourage you to apply and we will review all applications; however response times may be longer than usual, and interviews may be scheduled after the New Year. GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.
Dec 09, 2025
Full time
The Onyx Research Data Tech organization represents a major investment by GSK R&D and Digital & Tech, designed to deliver a step-change in our ability to leverage data, knowledge, and prediction to find new medicines. We are a full stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data/metadata/knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next generation data experience for GSK's scientists, engineers, and decision makers, increasing productivity and reducing time spent on "data mechanics". Providing best in class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top tier talent. Aggressively engineering our data at scale to unlock the value of our combined data assets and predictions in real time. Onyx Product Management is at the heart of our mission, ensuring that everything from our infrastructure to platforms to end user facing data assets and environments is designed to maximize our impact on R&D. The Product Management team partners with R&D stakeholders and Onyx leadership to develop a strategic roadmap for all customer facing aspects of Onyx, including data assets, ontology, Knowledge Graph / semantic search, data/computing/analysis platforms, and data powered applications. Responsibilities Contribute to Product Development & Adoption: Actively contribute to the full product lifecycle, from development to launch and adoption, focusing on specific features and components within novel molecule design solutions for the scientific community at GSK. Support GenAI Strategy: Support the strategic integration and enhancement of GenAI capabilities within molecule design tools, helping to define and implement next generation AI powered functionalities. Collaborative Delivery: Partner closely with Onyx tech teams, R&D scientists, and leaders to facilitate the delivery of impactful cloud based products and solutions that leverage Generative AI and agentic capabilities. GenAI Feature Implementation Support: Contribute to the development and implementation of specific features within AI Agents, leveraging LLMs and Generative AI to automate well defined parts of scientific research tasks. Assist in the design and testing of human agent interaction components, focusing on specific conversational flows or user interface elements to enhance usability. Support the product lifecycle for individual models or agents by assisting with data gathering, testing of fine tuned models, and developing documentation for APIs/agents. Support the implementation of Model In The Loop designs by gathering R&D user feedback and contributing to the process. Participate in highly technical product discussions with engineering leaders, translating ambiguous scientific objectives into precise requirements for fine tuning foundational models, vector databases, and multi agent system architectures. Cross Functional Coordination: Coordinate with tech and R&D teams, including DevOps & Infrastructure, data engineering, computing platform engineering, data & knowledge platform engineering, program management teams and R&D data leadership teams, to align product strategies, gather input, ensuring clear communication and smooth execution. Product Release Support: Assist with product launch activities for new features, including preparing documentation, training materials, and support resources to ensure successful adoption. Performance Monitoring & Optimization: Monitor key metrics for specific product features, gather user feedback on performance, and identify potential areas for improvement. Qualifications Bachelor's degree in Bioinformatics, Computational Biology, cheminformatics, AI/ML, Computer Science, Software Engineering, or related discipline. Experience in product management with a proven track record of shipping 0 to 1 software products powered by AI/GenAI, LLMs, or autonomous agents in a commercial or large scale enterprise setting. Demonstrated experience executing product strategy for modern applications, including hands on experience with technologies core to AI systems such as vector databases, MLOps, retrieval augmented generation, and model fine tuning. Demonstrated technical fluency with cloud native architectures (e.g., AWS, GCP, Azure), API design, and the infrastructure required to serve and scale LLM based applications. Preferred Qualifications Master's degree or PhD in Bioinformatics, Computational Biology, Computational Chemistry, Data Science, Computer Science/Software Engineering, or related discipline. Experience contributing to products that involve AI agents, their tool utilisation (APIs, function calling), or the development of conversational AI interfaces. Hands on software engineering or data science experience in an AI/GenAI focused team prior to transitioning into product management. Familiarity with the architecture of modern transformer based models and an understanding of the strategic trade offs when selecting between proprietary, open source, or fine tuned custom models. Experience contributing to products that manage or interpret complex, unstructured biomedical data. Familiarity with Model Context Protocols (MCP) for LLM powered agents, including basic concepts of prompt engineering, context window management, and maintaining model coherence in multi turn interactions. Foundational knowledge of bioinformatics, computational biology, or cheminformatics, and an interest in how agentic AI can impact drug discovery. Hands on experience with product management tools such as Confluence, Jira, Miro, Monday, Notion, etc. Previous experience in the life science industry or biopharma R&D is a plus. Closing Date for Applications: Tuesday 6th January 2026 (COB) PLEASE NOTE: As we approach the holiday season, our recruitment team and hiring managers will have limited availability between now and early January. We encourage you to apply and we will review all applications; however response times may be longer than usual, and interviews may be scheduled after the New Year. GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.
