Summary Marcom is the creatively led global team that oversees Apple's consumer facing marketing. We ensure the flawless development and execution of world class communications across all medias and platforms. Every day, hundreds of millions of Apple customers around the world interact with our products. We drive the strategy and creative work that provide both new and existing customers with simple, engaging and inspiring marketing experiences. Marcom's Special Projects Group is a research and development studio, prototyping forward thinking experiences that leverage emerging technologies to advance Apple's global marketing communications. This nimble, multi disciplinary team of creative technologists, artists and designers works together to drive innovation in rapidly evolving fields such as spatial and generative computing. We partner with teams across the company to evolve how we work with emerging technologies to improve our internal workflows and customer facing experiences. Description Apple is looking for a Creative Technologist to join the Marcom Special Projects Group. In this role you would be responsible developing technology that drives innovation in interactive experiences across multiple platforms, with a focus on emerging technologies such as generative AI. Your time in the studio will be spent collaboratively researching, writing code, prototyping, presenting, and debating ideas. You'll be responsible for discovering and developing new research, educating and driving adoption of emerging technologies in internal workflows and new customer experiences. Your clear vision of the future of design and technology will inspire our team and others to push the boundaries of what's possible. Responsibilities Develop prototypes of world class interactive product experiences, using a deep understanding of generative AI and user interface principles. Quickly grasp and distill highly complex, ambiguous concepts of nascent technologies and turn them into simple, useful and delightful product experiences. Write software for internal tools and define processes that advance Marcom's creative pursuits across multiple platforms including web, native and generative AI. Conduct open ended research, including designing experiments with LLMs, diffusion models and agents, while writing reusable code, running evaluations, and organizing results. Create clear and concise documentation, including technical specifications, best practices guides, and presentations, to communicate complex concepts to both technical and non technical stakeholders across the organization. Collaborate with engineering teams across Apple to transform prototypes into production ready solutions. Exhibit collaborative and diplomatic fluency within a multi disciplinary design studio, using exceptional communication and organizational skills. Minimum Qualifications A diverse portfolio demonstrating proficiency in web and native Apple platform development, including projects utilizing generative AI. Proven ability to create hi fidelity interactive prototypes and think through complex interaction design. Ability to rapidly adapt and implement new technologies in the service of project goals. Bachelor's degree. Preferred Qualifications At least 7 years of experience in creative tech/ R&D environment, with an emphasis in implementing emerging technologies. Proficiency in Python and familiarity with ML tooling such as PyTorch or TensorFlow. Hands on experience fine tuning, debugging and optimizing model performance through experimentation. Experience building frameworks around models to apply AI solutions to specific problems. Ability to cut through ambiguity and find a path forward, despite uncertainty or challenges. Excellent communication and presentation skills, with the ability to build trust and influence while advocating for your ideas. Deep subject matter technical expert, paired with high level of curiosity and eagerness to learn. Intrinsic ability to educate and inspire others, influencing the adoption of new technologies and workflows. Degree in Design, Human Computer Interaction, Computer Science, or a related field. At Apple, we're not all the same. And that's our greatest strength. We draw on the differences in who we are, what we've experienced and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. As a registered Disability Confident employer, we will work with applicants to make any reasonable accommodations. Apple will consider for employment all qualified applicants with criminal backgrounds in a manner consistent with applicable law.
24/06/2026
Full time
Summary Marcom is the creatively led global team that oversees Apple's consumer facing marketing. We ensure the flawless development and execution of world class communications across all medias and platforms. Every day, hundreds of millions of Apple customers around the world interact with our products. We drive the strategy and creative work that provide both new and existing customers with simple, engaging and inspiring marketing experiences. Marcom's Special Projects Group is a research and development studio, prototyping forward thinking experiences that leverage emerging technologies to advance Apple's global marketing communications. This nimble, multi disciplinary team of creative technologists, artists and designers works together to drive innovation in rapidly evolving fields such as spatial and generative computing. We partner with teams across the company to evolve how we work with emerging technologies to improve our internal workflows and customer facing experiences. Description Apple is looking for a Creative Technologist to join the Marcom Special Projects Group. In this role you would be responsible developing technology that drives innovation in interactive experiences across multiple platforms, with a focus on emerging technologies such as generative AI. Your time in the studio will be spent collaboratively researching, writing code, prototyping, presenting, and debating ideas. You'll be responsible for discovering and developing new research, educating and driving adoption of emerging technologies in internal workflows and new customer experiences. Your clear vision of the future of design and technology will inspire our team and others to push the boundaries of what's possible. Responsibilities Develop prototypes of world class interactive product experiences, using a deep understanding of generative AI and user interface principles. Quickly grasp and distill highly complex, ambiguous concepts of nascent technologies and turn them into simple, useful and delightful product experiences. Write software for internal tools and define processes that advance Marcom's creative pursuits across multiple platforms including web, native and generative AI. Conduct open ended research, including designing experiments with LLMs, diffusion models and agents, while writing reusable code, running evaluations, and organizing results. Create clear and concise documentation, including technical specifications, best practices guides, and presentations, to communicate complex concepts to both technical and non technical stakeholders across the organization. Collaborate with engineering teams across Apple to transform prototypes into production ready solutions. Exhibit collaborative and diplomatic fluency within a multi disciplinary design studio, using exceptional communication and organizational skills. Minimum Qualifications A diverse portfolio demonstrating proficiency in web and native Apple platform development, including projects utilizing generative AI. Proven ability to create hi fidelity interactive prototypes and think through complex interaction design. Ability to rapidly adapt and implement new technologies in the service of project goals. Bachelor's degree. Preferred Qualifications At least 7 years of experience in creative tech/ R&D environment, with an emphasis in implementing emerging technologies. Proficiency in Python and familiarity with ML tooling such as PyTorch or TensorFlow. Hands on experience fine tuning, debugging and optimizing model performance through experimentation. Experience building frameworks around models to apply AI solutions to specific problems. Ability to cut through ambiguity and find a path forward, despite uncertainty or challenges. Excellent communication and presentation skills, with the ability to build trust and influence while advocating for your ideas. Deep subject matter technical expert, paired with high level of curiosity and eagerness to learn. Intrinsic ability to educate and inspire others, influencing the adoption of new technologies and workflows. Degree in Design, Human Computer Interaction, Computer Science, or a related field. At Apple, we're not all the same. And that's our greatest strength. We draw on the differences in who we are, what we've experienced and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. As a registered Disability Confident employer, we will work with applicants to make any reasonable accommodations. Apple will consider for employment all qualified applicants with criminal backgrounds in a manner consistent with applicable law.
Summary Yelp engineering culture is driven by our values: we're a cooperative team that values individual authenticity and encourages creative solutions to problems. All new engineers deploy working code their first week, and we strive to broaden individual impact with support from managers, mentors, and teams. At the end of the day, we're all about helping our users, growing as engineers, and having fun in a collaborative environment. Are you intrigued by data? Yelp has hundreds of millions of pieces of user-contributed content, millions of users and business listings, and hundreds of thousands of advertising customers - and all of these numbers are constantly growing. Making sense of this data, deducing relationships between variables, and figuring out different interactions is hard work, but these insights are hugely impactful to Yelp's business. At Yelp's Lead Optimization team, we are passionate about connecting users with the service professional that matches their needs. Whether you're looking for a plumber, contractor, or an electrician, we believe that better matching and accurate pricing in Yelp's Service marketplace results in higher engagement from business owners and users, who are a critical part of what allows Yelp's business model to thrive. We are looking for an entrepreneurial, self-driven machine learning scientist who will help invent the future of optimization at Yelp. In this role, you'll hone your skills in ML techniques like GBDT, ensemble models, and embeddings while building scalable industrial systems. As a member of a collaborative team of talented software and ML engineers, you'll have a unique opportunity to drive massive impact for users, businesses and Yelp. This opportunity requires you to be located in the United Kingdom. We'd love to have you apply, even if you don't feel you meet every single requirement in this posting. At Yelp, we're looking for great people, not just those who simply check off all the boxes. What you'll do: Identify and own challenging problems, form testable hypotheses, and drive significant business impact Lead the design and analysis of experiments or development of causal and predictive models to test your ideas Collaborate with product and engineering to affect changes in production systems and provide intelligence to other teams and communicate your conclusions to technical and non-technical audiences alike Keep the team and our projects current on new developments in ML and statistics by reading papers and attending conferences and local events Productionize and automate model pipelines within Python services What it takes to succeed: Experience with data analysis/statistical software and packages (pandas/statsmodels/sklearn within Python, R, etc.) Experience with predictive modeling/machine learning, forecasting, or causal inference Comfortable working in a Unix environment Sufficient software engineering skills to effectively work with software engineers. A demonstrated capability for original research, the curiosity to uncover promising solutions to new problems, and the persistence to carry your ideas through to an end goal The motivation to develop deep product and business knowledge and to connect abstract modeling and analysis tasks with business value What you'll get: Full responsibility for projects from day one, a collaborative team, and a dynamic work environment. Competitive salary, a pension scheme, and an optional employee stock purchase plan. 25 days paid holiday (rising to 29 with service), plus one floating holiday. £150 monthly reimbursement to help cover remote working expenses. £75 caregiver reimbursement to support dependent care for families. Private health insurance, including dental and vision. Flexible working hours and meeting-free Wednesdays. Regular 3-day Hackathons, bi-weekly learning groups, and productivity spending to support and encourage your career growth. Opportunities to participate in digital events and conferences. £75 per month to use toward qualifying wellness expenses. Quarterly team offsites. Closing Yelp values diversity. We're proud to be an equal opportunity employer and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition, disability, or any other protected status. Notice to Northern Ireland Applicants A Basic criminal background check viaAccessNIis required for employment. Yelp complies with the AccessNI Code of Practice. Having a criminal record will not necessarily prevent a candidate from working with Yelp. Yelp will consider the nature of the position together with the circumstances and background of the candidate's offences or other information contained on a disclosure certificate. AccessNI's Privacy Policy is availablehere. Yelp's Criminal Background Check Policy is available upon request. Note: Yelp does not accept agency resumes. Please do not forward resumes to any recruiting alias or employee. Yelp is not responsible for any fees related to unsolicited resumes.
23/06/2026
Full time
Summary Yelp engineering culture is driven by our values: we're a cooperative team that values individual authenticity and encourages creative solutions to problems. All new engineers deploy working code their first week, and we strive to broaden individual impact with support from managers, mentors, and teams. At the end of the day, we're all about helping our users, growing as engineers, and having fun in a collaborative environment. Are you intrigued by data? Yelp has hundreds of millions of pieces of user-contributed content, millions of users and business listings, and hundreds of thousands of advertising customers - and all of these numbers are constantly growing. Making sense of this data, deducing relationships between variables, and figuring out different interactions is hard work, but these insights are hugely impactful to Yelp's business. At Yelp's Lead Optimization team, we are passionate about connecting users with the service professional that matches their needs. Whether you're looking for a plumber, contractor, or an electrician, we believe that better matching and accurate pricing in Yelp's Service marketplace results in higher engagement from business owners and users, who are a critical part of what allows Yelp's business model to thrive. We are looking for an entrepreneurial, self-driven machine learning scientist who will help invent the future of optimization at Yelp. In this role, you'll hone your skills in ML techniques like GBDT, ensemble models, and embeddings while building scalable industrial systems. As a member of a collaborative team of talented software and ML engineers, you'll have a unique opportunity to drive massive impact for users, businesses and Yelp. This opportunity requires you to be located in the United Kingdom. We'd love to have you apply, even if you don't feel you meet every single requirement in this posting. At Yelp, we're looking for great people, not just those who simply check off all the boxes. What you'll do: Identify and own challenging problems, form testable hypotheses, and drive significant business impact Lead the design and analysis of experiments or development of causal and predictive models to test your ideas Collaborate with product and engineering to affect changes in production systems and provide intelligence to other teams and communicate your conclusions to technical and non-technical audiences alike Keep the team and our projects current on new developments in ML and statistics by reading papers and attending conferences and local events Productionize and automate model pipelines within Python services What it takes to succeed: Experience with data analysis/statistical software and packages (pandas/statsmodels/sklearn within Python, R, etc.) Experience with predictive modeling/machine learning, forecasting, or causal inference Comfortable working in a Unix environment Sufficient software engineering skills to effectively work with software engineers. A demonstrated capability for original research, the curiosity to uncover promising solutions to new problems, and the persistence to carry your ideas through to an end goal The motivation to develop deep product and business knowledge and to connect abstract modeling and analysis tasks with business value What you'll get: Full responsibility for projects from day one, a collaborative team, and a dynamic work environment. Competitive salary, a pension scheme, and an optional employee stock purchase plan. 25 days paid holiday (rising to 29 with service), plus one floating holiday. £150 monthly reimbursement to help cover remote working expenses. £75 caregiver reimbursement to support dependent care for families. Private health insurance, including dental and vision. Flexible working hours and meeting-free Wednesdays. Regular 3-day Hackathons, bi-weekly learning groups, and productivity spending to support and encourage your career growth. Opportunities to participate in digital events and conferences. £75 per month to use toward qualifying wellness expenses. Quarterly team offsites. Closing Yelp values diversity. We're proud to be an equal opportunity employer and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition, disability, or any other protected status. Notice to Northern Ireland Applicants A Basic criminal background check viaAccessNIis required for employment. Yelp complies with the AccessNI Code of Practice. Having a criminal record will not necessarily prevent a candidate from working with Yelp. Yelp will consider the nature of the position together with the circumstances and background of the candidate's offences or other information contained on a disclosure certificate. AccessNI's Privacy Policy is availablehere. Yelp's Criminal Background Check Policy is available upon request. Note: Yelp does not accept agency resumes. Please do not forward resumes to any recruiting alias or employee. Yelp is not responsible for any fees related to unsolicited resumes.
Machine Learning Engineer Place of work: Abu Dhabi, United Arab Emirates About Role: Insilico Medicine is seeking a Machine Learning Engineer to develop, support and improve predictive models and retrosynthesis in Chemistry & Biology. The candidate will write production-level Python code, run ML experiments, integrate new functionalities, and work with foundation models. The candidate will also provide technical support to the DevOps team and perform intra-team MLOps. Reports to: Team Lead in Cheminformatics Responsibilities: Develop and maintain the internal machine learning pipeline at production level to support drug discovery initiatives. Optimize, refactor, and debug existing Python code to enhance performance, scalability, and efficiency. Deploy ML models into the platform for real-world applications in chemistry and biology. Implement and fine-tune ML-dedicated algorithms in Python, ensuring high accuracy and robustness. Collaborate on MLOps practices to ensure seamless model integration, deployment, and continuous improvement. Education: Bachelor's, Master's, or PhD in a Machine Learning related field. Experience and Skills: Strong background in machine learning with practical application experience. 4+ years of experience in Python production-level development. Proficiency with coding standards such as PEP8 and Google style guide. Experience with NoSQL databases such as MongoDB. Experience working with Linux or other Unix-based operating systems. Proficiency in version control systems like Git. Hands on experience with NumPy, Pandas, PyTorch, and scikit learn. Solid understanding of object-oriented programming, design patterns, and software architecture best practices. Proactive attitude, strong problem solving skills, and commitment to continuous learning. Preferred Skills: Experience with deep learning frameworks and techniques. Familiarity with RDKit for cheminformatics and Plotly for data visualization. Hands on experience with Transformers, RNNs, CNNs, GNNs, and Gradient Boosting. Expertise in feature engineering and optimization techniques. Knowledge of cheminformatics and the drug discovery process. Ability to quickly learn and adapt to new libraries, tools, and emerging ML technologies. Experience in programming with C++ is an advantage. Please send your CV to Senior Machine Learning Scientist Place of work: TBD About Role: We are seeking a Senior Machine Learning Scientist with expertise in modern generative modelling and structure aware machine learning to develop advanced AI systems for modelling complex three dimensional molecular data. The role involves building deep learning approaches that operate on spatial molecular representations, integrating physical and geometric constraints, and supporting computational workflows. Reports to: Head of AI for Chemistry Solutions Responsibilities: Model Research & Development: Develop ML models to analyze 3D molecular structures and interactions. Design computational workflows to evaluate and prioritize candidate structures based on predicted structural and physicochemical properties. Build architectures that integrate multiple predictive tasks across structural modelling and interaction prediction. Develop representations and embeddings for complex molecular geometries and spatial relationships. Work with large scale structural datasets. Technical Leadership: Design scalable pipelines for training models on large structural datasets. Define modelling approaches that incorporate spatial context, interaction interfaces, and geometric constraints. Collaborate with engineers to ensure efficient training, inference, and integration into internal platforms. Research & Strategy: Stay up to date with advances in protein design, molecular ML, and geometric deep learning. Evaluate emerging methods such as all atom diffusion models, graph networks, and multimodal foundation models. Contribute to internal research directions and experimentation with new modelling paradigms for complex spatial data. Education: PhD or MS in Machine Learning, Computational Biology, Structural Biology, Computer Science, Biophysics, or related field. Experience and Skills: Strong experience developing ML models operating on 3D spatial or geometric data, including diffusion based generative models, graph neural networks, equivariant neural networks (SE(3)/SO(3 , and transformer based architectures applied to structured data. Proficiency with PyTorch. Understanding of molecular structure, spatial interactions, and physical constraints in molecular systems. Experience working with coordinate based structural datasets and molecular data formats. Experience with distributed training, model optimization, and high performance compute environments. Strong software engineering practices (Git, testing, reproducibility). Preferred Qualifications: Familiarity with modern ML approaches for macromolecular structure modelling and prediction, including systems such as AlphaFold. Exposure to emerging structure aware generative or modelling architectures in scientific ML. Experience with open source research systems used in structural modelling pipelines. Background in computational chemistry, structural biophysics, or molecular simulation. Experience developing geometry aware or constraint aware ML models. Contributions to open source ML or scientific computing projects. Please send your CV to Business Development Manager Place of work: Fully remote, open globally (Preferred: Japan, South Korea, Europe) About Role: We are scaling our Business Development team and are looking for commercially strong, technically fluent BD Managers to shape the adoption of AI driven platforms globally. The role focuses on outbound pipeline development, strategic partnerships, and representing AI technologies at conferences. Insilico is AI native, utilizing LLMs and AI agents for prospect research, segmentation, campaign personalization, follow ups, competitive analysis, and CRM optimization. Candidates should understand AI benchmarks and articulate performance metrics effectively. Key Responsibilities: Collaborate with Line Manager to design and execute sales strategies, including targeted email campaigns. Identify target groups, build prospect lists, and generate qualified sales leads. Qualify interest through inbound lead follow up, outbound calling, and email outreach. Secure meetings and product demonstrations with prospects and existing customers. Handle follow up and drive completion of contractual documents. Work closely with Legal, AI, Chemistry, Biology, R&D, and Alliance Management teams. Represent Insilico's AI platforms at international conferences and industry events. Maintain disciplined CRM records and provide pipeline updates to senior management. Adjust outreach strategy based on evolving business priorities. Required Experience: Industry Background: Experience in Big Pharma, biotech, or drug discovery, or AI solutions and data sales. Prior BD experience licensing or commercializing AI platform technologies. Commercial Capability: Demonstrated success in B2B sales with complex, multi stakeholder cycles. Proven ability to generate meetings and build a pipeline through outbound efforts. Experience selling complex technical platforms. Comfortable engaging scientific, technical, and executive audiences. Professional Skills: Strong communication, presentation, and networking; CRM discipline (Salesforce preferred); relevant graduate/postgraduate qualification preferred with interest in AI/ML in drug discovery. AI & Benchmark Proficiency (Required): Solid understanding of large language models (LLMs). Actively using generative AI tools or AI agents to optimize workflow productivity. Ability to discuss AI driven drug discovery platforms credibly in both technical and commercial contexts. Strong interest in AI benchmarking frameworks and performance validation. Comfortable interpreting and communicating benchmark results and comparative model performance. Data driven mindset to differentiate validated performance from marketing claims. Bonus Experience: Familiarity with Insilico's platforms (PandaOmics, Chemistry42, Generative Biologics, Science42, etc.). Experience in pharmaceutical contract negotiation. Background in AI driven drug discovery or computational platforms. Existing network within pharma BD or R&D leadership. Multilingual capabilities are a strong plus, particularly Japanese or Korean, and other major business languages in Europe and Asia. Profile We're Looking For: Genuinely interested in Pharma.AI and platform technologies. Motivated by Insilico Medicine's work. Self starter with minimal supervision. Creative in sourcing and outreach strategies. . click apply for full job details
22/06/2026
Full time
Machine Learning Engineer Place of work: Abu Dhabi, United Arab Emirates About Role: Insilico Medicine is seeking a Machine Learning Engineer to develop, support and improve predictive models and retrosynthesis in Chemistry & Biology. The candidate will write production-level Python code, run ML experiments, integrate new functionalities, and work with foundation models. The candidate will also provide technical support to the DevOps team and perform intra-team MLOps. Reports to: Team Lead in Cheminformatics Responsibilities: Develop and maintain the internal machine learning pipeline at production level to support drug discovery initiatives. Optimize, refactor, and debug existing Python code to enhance performance, scalability, and efficiency. Deploy ML models into the platform for real-world applications in chemistry and biology. Implement and fine-tune ML-dedicated algorithms in Python, ensuring high accuracy and robustness. Collaborate on MLOps practices to ensure seamless model integration, deployment, and continuous improvement. Education: Bachelor's, Master's, or PhD in a Machine Learning related field. Experience and Skills: Strong background in machine learning with practical application experience. 4+ years of experience in Python production-level development. Proficiency with coding standards such as PEP8 and Google style guide. Experience with NoSQL databases such as MongoDB. Experience working with Linux or other Unix-based operating systems. Proficiency in version control systems like Git. Hands on experience with NumPy, Pandas, PyTorch, and scikit learn. Solid understanding of object-oriented programming, design patterns, and software architecture best practices. Proactive attitude, strong problem solving skills, and commitment to continuous learning. Preferred Skills: Experience with deep learning frameworks and techniques. Familiarity with RDKit for cheminformatics and Plotly for data visualization. Hands on experience with Transformers, RNNs, CNNs, GNNs, and Gradient Boosting. Expertise in feature engineering and optimization techniques. Knowledge of cheminformatics and the drug discovery process. Ability to quickly learn and adapt to new libraries, tools, and emerging ML technologies. Experience in programming with C++ is an advantage. Please send your CV to Senior Machine Learning Scientist Place of work: TBD About Role: We are seeking a Senior Machine Learning Scientist with expertise in modern generative modelling and structure aware machine learning to develop advanced AI systems for modelling complex three dimensional molecular data. The role involves building deep learning approaches that operate on spatial molecular representations, integrating physical and geometric constraints, and supporting computational workflows. Reports to: Head of AI for Chemistry Solutions Responsibilities: Model Research & Development: Develop ML models to analyze 3D molecular structures and interactions. Design computational workflows to evaluate and prioritize candidate structures based on predicted structural and physicochemical properties. Build architectures that integrate multiple predictive tasks across structural modelling and interaction prediction. Develop representations and embeddings for complex molecular geometries and spatial relationships. Work with large scale structural datasets. Technical Leadership: Design scalable pipelines for training models on large structural datasets. Define modelling approaches that incorporate spatial context, interaction interfaces, and geometric constraints. Collaborate with engineers to ensure efficient training, inference, and integration into internal platforms. Research & Strategy: Stay up to date with advances in protein design, molecular ML, and geometric deep learning. Evaluate emerging methods such as all atom diffusion models, graph networks, and multimodal foundation models. Contribute to internal research directions and experimentation with new modelling paradigms for complex spatial data. Education: PhD or MS in Machine Learning, Computational Biology, Structural Biology, Computer Science, Biophysics, or related field. Experience and Skills: Strong experience developing ML models operating on 3D spatial or geometric data, including diffusion based generative models, graph neural networks, equivariant neural networks (SE(3)/SO(3 , and transformer based architectures applied to structured data. Proficiency with PyTorch. Understanding of molecular structure, spatial interactions, and physical constraints in molecular systems. Experience working with coordinate based structural datasets and molecular data formats. Experience with distributed training, model optimization, and high performance compute environments. Strong software engineering practices (Git, testing, reproducibility). Preferred Qualifications: Familiarity with modern ML approaches for macromolecular structure modelling and prediction, including systems such as AlphaFold. Exposure to emerging structure aware generative or modelling architectures in scientific ML. Experience with open source research systems used in structural modelling pipelines. Background in computational chemistry, structural biophysics, or molecular simulation. Experience developing geometry aware or constraint aware ML models. Contributions to open source ML or scientific computing projects. Please send your CV to Business Development Manager Place of work: Fully remote, open globally (Preferred: Japan, South Korea, Europe) About Role: We are scaling our Business Development team and are looking for commercially strong, technically fluent BD Managers to shape the adoption of AI driven platforms globally. The role focuses on outbound pipeline development, strategic partnerships, and representing AI technologies at conferences. Insilico is AI native, utilizing LLMs and AI agents for prospect research, segmentation, campaign personalization, follow ups, competitive analysis, and CRM optimization. Candidates should understand AI benchmarks and articulate performance metrics effectively. Key Responsibilities: Collaborate with Line Manager to design and execute sales strategies, including targeted email campaigns. Identify target groups, build prospect lists, and generate qualified sales leads. Qualify interest through inbound lead follow up, outbound calling, and email outreach. Secure meetings and product demonstrations with prospects and existing customers. Handle follow up and drive completion of contractual documents. Work closely with Legal, AI, Chemistry, Biology, R&D, and Alliance Management teams. Represent Insilico's AI platforms at international conferences and industry events. Maintain disciplined CRM records and provide pipeline updates to senior management. Adjust outreach strategy based on evolving business priorities. Required Experience: Industry Background: Experience in Big Pharma, biotech, or drug discovery, or AI solutions and data sales. Prior BD experience licensing or commercializing AI platform technologies. Commercial Capability: Demonstrated success in B2B sales with complex, multi stakeholder cycles. Proven ability to generate meetings and build a pipeline through outbound efforts. Experience selling complex technical platforms. Comfortable engaging scientific, technical, and executive audiences. Professional Skills: Strong communication, presentation, and networking; CRM discipline (Salesforce preferred); relevant graduate/postgraduate qualification preferred with interest in AI/ML in drug discovery. AI & Benchmark Proficiency (Required): Solid understanding of large language models (LLMs). Actively using generative AI tools or AI agents to optimize workflow productivity. Ability to discuss AI driven drug discovery platforms credibly in both technical and commercial contexts. Strong interest in AI benchmarking frameworks and performance validation. Comfortable interpreting and communicating benchmark results and comparative model performance. Data driven mindset to differentiate validated performance from marketing claims. Bonus Experience: Familiarity with Insilico's platforms (PandaOmics, Chemistry42, Generative Biologics, Science42, etc.). Experience in pharmaceutical contract negotiation. Background in AI driven drug discovery or computational platforms. Existing network within pharma BD or R&D leadership. Multilingual capabilities are a strong plus, particularly Japanese or Korean, and other major business languages in Europe and Asia. Profile We're Looking For: Genuinely interested in Pharma.AI and platform technologies. Motivated by Insilico Medicine's work. Self starter with minimal supervision. Creative in sourcing and outreach strategies. . click apply for full job details
About WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible - through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. About the role As an AI engineer at WRITER, you'll be at the forefront of shaping how enterprises harness superintelligence. This isn't just about theory; you'll be building tangible AI solutions that power the future of work for hundreds of the world's leading companies. Your work will directly impact the performance, scalability, and ethical alignment of our cutting edge LLMs and AI agents, enabling businesses to unlock unprecedented levels of productivity and innovation with AI that is truly grounded in their data. This role can be hybrid in our London hub. You'll report to the head of AI engineering. ️ What you'll do Architect, develop, and deploy high performance, scalable AI applications into production environments, ensuring robust integrations with our end to end platform. Drive the development of intelligent agents and AI powered features, translating complex research into practical, impactful solutions for our customers. Collaborate closely with research scientists, data scientists, and product managers to define technical requirements and deliver features that address critical business needs. Contribute to the research and evaluation of emerging AI technologies, frameworks, and tools to maintain WRITER's leadership in the enterprise generative AI space. Champion responsible AI practices, including bias detection, explainability, and safety alignment, making sure our AI is trustworthy and ethical. ️ What you need 5+ years of professional experience building and deploying machine learning or AI systems in a production environment. Proficiency in Python and experience with relevant AI/ML frameworks such as PyTorch, TensorFlow, or JAX. A strong foundation in machine learning principles, deep learning architectures, and natural language processing, particularly with large language models. Experience with cloud platforms (e.g., AWS, GCP, Azure) and MLOps tools for managing the AI lifecycle. Demonstrated ability to write clean, efficient, and well tested code for scalable software systems. Exceptional problem solving skills and a passion for tackling complex technical challenges with creative AI solutions. You Connect by collaborating seamlessly across diverse teams, Challenge the status quo to innovate, and Own your projects with a commitment to impact and excellence. Benefits & perks (UK full time employees): Generous PTO, plus company holidays Comprehensive medical and dental insurance Paid parental leave for all parents (12 weeks) Fertility and family planning support Early detection cancer testing through Galleri Competitive pension scheme and company contribution Annual work life stipends for: Wellness stipend for gym, massage/chiropractor, personal training, etc. Learning and development stipend Company wide off sites and team off sites Competitive compensation and company stock options
19/06/2026
Full time
About WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible - through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. About the role As an AI engineer at WRITER, you'll be at the forefront of shaping how enterprises harness superintelligence. This isn't just about theory; you'll be building tangible AI solutions that power the future of work for hundreds of the world's leading companies. Your work will directly impact the performance, scalability, and ethical alignment of our cutting edge LLMs and AI agents, enabling businesses to unlock unprecedented levels of productivity and innovation with AI that is truly grounded in their data. This role can be hybrid in our London hub. You'll report to the head of AI engineering. ️ What you'll do Architect, develop, and deploy high performance, scalable AI applications into production environments, ensuring robust integrations with our end to end platform. Drive the development of intelligent agents and AI powered features, translating complex research into practical, impactful solutions for our customers. Collaborate closely with research scientists, data scientists, and product managers to define technical requirements and deliver features that address critical business needs. Contribute to the research and evaluation of emerging AI technologies, frameworks, and tools to maintain WRITER's leadership in the enterprise generative AI space. Champion responsible AI practices, including bias detection, explainability, and safety alignment, making sure our AI is trustworthy and ethical. ️ What you need 5+ years of professional experience building and deploying machine learning or AI systems in a production environment. Proficiency in Python and experience with relevant AI/ML frameworks such as PyTorch, TensorFlow, or JAX. A strong foundation in machine learning principles, deep learning architectures, and natural language processing, particularly with large language models. Experience with cloud platforms (e.g., AWS, GCP, Azure) and MLOps tools for managing the AI lifecycle. Demonstrated ability to write clean, efficient, and well tested code for scalable software systems. Exceptional problem solving skills and a passion for tackling complex technical challenges with creative AI solutions. You Connect by collaborating seamlessly across diverse teams, Challenge the status quo to innovate, and Own your projects with a commitment to impact and excellence. Benefits & perks (UK full time employees): Generous PTO, plus company holidays Comprehensive medical and dental insurance Paid parental leave for all parents (12 weeks) Fertility and family planning support Early detection cancer testing through Galleri Competitive pension scheme and company contribution Annual work life stipends for: Wellness stipend for gym, massage/chiropractor, personal training, etc. Learning and development stipend Company wide off sites and team off sites Competitive compensation and company stock options
As climate change forces the world to change priorities, we've changed ours. LoweConex, a division of Lowe Corporation, is a patented, award winning, cloud based Centralised Data Platform offering innovative energy management techniques and cutting edge automation protocols. Our technology is helping our customers reduce their environmental impact and meet energy reduction and carbon emission targets ahead of schedule. The Role Are you an experienced engineer looking for a new experience in a fast growing organisation? Are you passionate about building cutting edge technology and accelerating your career growth? LoweConex are looking for experienced Engineers who are interested in contributing to the development of market leading IoT products and applications. At LoweConex, you'll have the opportunity to make a real impact in a dynamic and innovative team. We're looking for independent, critical thinkers and creative problem solvers who thrive in a fast paced environment and are ready to help shape the future of logistics tech. Our Software Engineers are at the forefront of designing and building enterprise solutions that enable real time monitoring and control of IoT devices for some of the world's leading brands. We craft systems that scale seamlessly, perform reliably, and deliver exceptional user experiences, ensuring our platform stays ahead in a fast moving industry. As technology constantly evolves, so do we. Our Engineers tackle the challenge of helping customers make real time, data driven decisions using IoT device insights. Beyond that, we leverage advanced data science and AI/ML cloud services to extract powerful business intelligence from historical data, providing deeper value to our clients. LoweConex engineers work in a highly collaborative, agile environment, following best in class practices. We focus on building solutions that are impactful, scalable, and sustainable, empowering both our team and our clients to stay ahead of the curve in the dynamic world of IoT. If you're driven by innovation and eager to solve complex problems with cutting edge technology, we'd love for you to join us. Responsibilities Design, develop, test, deploy, maintain, and enhance a range of software products. Provide technical leadership within a growing team - collaborating with key contributors to develop the architecture of a global multi cloud/multi region IoT platform. Influence development practices, contribute to process enhancements, and enforce best practices on project work. Work with Partner teams to understand their requirements and build systems that ensure that changes are correctly applied to the platform. Ensure SDLC Processes are followed and enhanced to deliver increasingly effective and productive software solutions for a DevSecOps 24/7 Cloud environment. Deliver non functional enterprise requirements and support decision making on approaches in partnership with technical leadership. Provide mentoring and technical direction to development, helping to identify technical solutions to realize design. Complete research and conduct POCs on new technologies. Participate in CICD development pipelines, contributing to modern test and delivery techniques. Qualifications Relevant Bachelor's degree, or equivalent level of skills and experience, MSc or higher preferred. Strong knowledge of core Java skills. Ability to write clean, bug free code that is easy to understand, and easily maintainable. Experience working with multi threaded applications and core Java libraries (Spring). Experience of IOT Cloud - AWS IoT CORE, IoT Hub, PTC IoT. Experience CICD and Cloud operations - Jenkins, Argo, Kubernetes. Experience with enterprise security and compliance processes and tools. Experience using Confluence, JIRA, or other Atlassian tools. Lowe is an equal opportunity employer and committed to a diverse workforce. We are incredibly selective in our hiring and shortlisting for this vacancy will be completed on the basis of merit. Candidates should tailor their CVs to reflect our essential criteria.
18/06/2026
Full time
As climate change forces the world to change priorities, we've changed ours. LoweConex, a division of Lowe Corporation, is a patented, award winning, cloud based Centralised Data Platform offering innovative energy management techniques and cutting edge automation protocols. Our technology is helping our customers reduce their environmental impact and meet energy reduction and carbon emission targets ahead of schedule. The Role Are you an experienced engineer looking for a new experience in a fast growing organisation? Are you passionate about building cutting edge technology and accelerating your career growth? LoweConex are looking for experienced Engineers who are interested in contributing to the development of market leading IoT products and applications. At LoweConex, you'll have the opportunity to make a real impact in a dynamic and innovative team. We're looking for independent, critical thinkers and creative problem solvers who thrive in a fast paced environment and are ready to help shape the future of logistics tech. Our Software Engineers are at the forefront of designing and building enterprise solutions that enable real time monitoring and control of IoT devices for some of the world's leading brands. We craft systems that scale seamlessly, perform reliably, and deliver exceptional user experiences, ensuring our platform stays ahead in a fast moving industry. As technology constantly evolves, so do we. Our Engineers tackle the challenge of helping customers make real time, data driven decisions using IoT device insights. Beyond that, we leverage advanced data science and AI/ML cloud services to extract powerful business intelligence from historical data, providing deeper value to our clients. LoweConex engineers work in a highly collaborative, agile environment, following best in class practices. We focus on building solutions that are impactful, scalable, and sustainable, empowering both our team and our clients to stay ahead of the curve in the dynamic world of IoT. If you're driven by innovation and eager to solve complex problems with cutting edge technology, we'd love for you to join us. Responsibilities Design, develop, test, deploy, maintain, and enhance a range of software products. Provide technical leadership within a growing team - collaborating with key contributors to develop the architecture of a global multi cloud/multi region IoT platform. Influence development practices, contribute to process enhancements, and enforce best practices on project work. Work with Partner teams to understand their requirements and build systems that ensure that changes are correctly applied to the platform. Ensure SDLC Processes are followed and enhanced to deliver increasingly effective and productive software solutions for a DevSecOps 24/7 Cloud environment. Deliver non functional enterprise requirements and support decision making on approaches in partnership with technical leadership. Provide mentoring and technical direction to development, helping to identify technical solutions to realize design. Complete research and conduct POCs on new technologies. Participate in CICD development pipelines, contributing to modern test and delivery techniques. Qualifications Relevant Bachelor's degree, or equivalent level of skills and experience, MSc or higher preferred. Strong knowledge of core Java skills. Ability to write clean, bug free code that is easy to understand, and easily maintainable. Experience working with multi threaded applications and core Java libraries (Spring). Experience of IOT Cloud - AWS IoT CORE, IoT Hub, PTC IoT. Experience CICD and Cloud operations - Jenkins, Argo, Kubernetes. Experience with enterprise security and compliance processes and tools. Experience using Confluence, JIRA, or other Atlassian tools. Lowe is an equal opportunity employer and committed to a diverse workforce. We are incredibly selective in our hiring and shortlisting for this vacancy will be completed on the basis of merit. Candidates should tailor their CVs to reflect our essential criteria.
Overview As a global market leader, iPipeline combines technology, innovation, and expertise to deliver ground-breaking, award-winning software solutions that transform the life insurance, financial services, and protection industries. With one of the industry's largest data sets, we help advisors/advisers and agents to transform paper and manual operations into a secure, seamless digital experience - from proposal to commission- so they can help better secure the financial futures of their clients. At iPipeline, you'll play a major role in helping us to provide best-in class, transformative solutions. We're passionate, creative, and innovative, and together as a team, we continually strive to advance, accelerate, and expand the reach of our technology. We value different perspectives and are committed to creating an environment that embraces diverse backgrounds and fosters inclusion. We're proud that we've been recognized as a repeat winner of various industry awards, demonstrating our excellence and highlighting us as a top workplace in both the US and the UK. We believe that the culture we've built for our nearly 900 employees around the word is exceptional - and we've created a place where our employees love to come to work, every single day. Come join our team! About iPipeline Founded in 1995, iPipeline operates as a business unit of Roper Technologies (Nasdaq: ROP), a constituent of the Nasdaq 100, S&P 500 , and Fortune 1000 indices. iPipeline is a leading global provider of comprehensive and integrated digital solutions for the life insurance and financial services industries in North America, and life insurance and pensions industries in the UK. We couple one of the most expansive digital and automated platforms with one of the industry's largest data libraries to accelerate, automate, and simplify various applications, processes, and workflows - from quote to commission - with seamless integration. Our vision is to help everyone achieve lasting financial security by delivering innovative solutions that connect, simplify, and transform the industry. iPipeline is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to gender, race, color, religious creed, national origin, age, sexual orientation, gender identity, physical or mental disability, and/or protected veteran status. We are committed to building a supportive and inclusive environment for all employees. This is a Hybrid position. Responsibilities The Advisory Software Architect is a senior strategic leader responsible for defining and driving the enterprise wide architectural vision across software systems and applications. This role ensures that technology solutions align with business needs while maintaining the highest standards of security, performance, scalability, and quality. As a trusted advisor to senior leadership, the role influences long term technology strategy, leads complex transformation initiatives (e.g., Micro Service Architecture and SaaS transformation, cloud adoption, AI integration, technical stack modernisation), and governs architectural consistency across the enterprise and partner ecosystems. The position also plays a key role in shaping industry best practices and representing the organisation externally. Key Responsibilities Enterprise & Ecosystem Architecture Design and oversee the implementation of enterprise wide software architecture, spanning internal platforms, cloud environments, and external partner ecosystems Develop "big picture" architectural frameworks to guide engineering teams and ensure alignment with business strategy Ensure architectural consistency, scalability, performance, and maintainability across all systems Strategic Technology Leadership Influence executive level decision making by aligning architectural strategy with evolving business and market needs Evaluate and recommend emerging tools, technologies, and processes to enhance platform capability and innovation Define development standards, including technology choices, workflows, and coding practices Transformation & Modernisation Lead large scale technology transformations such as: Cloud migration and hybrid architecture strategies Monolith-to-microservices evolution AI, analytics, and data platform integration Drive innovation in digital customer experiences within fintech and insurtech domains Architecture Governance & Risk Management Establish and lead enterprise architectural governance frameworks Ensure adherence to security, compliance, regulatory, and quality standards Identify and mitigate long term architectural risks (e.g., vendor lock in, scalability constraints, regulatory exposure) Technical Design & Solution Development Conduct research, analyse data, gather requirements, and define end to end solutions Create architectural artefacts representing system functions, integrations, and user interfaces Provide expert technical guidance and oversight to development teams Integration & Interoperability Lead enterprise and ecosystem wide integration strategies, including APIs, partner platforms, and third party systems Ensure seamless interoperability across internal systems and external stakeholders External Representation & Industry Influence Represent the organisation at industry forums, regulatory groups, and technical consortiums Contribute to shaping broader industry architecture standards and best practices Leadership & Mentorship Coach and mentor architects and senior engineering leaders across the organisation Develop internal architectural frameworks, standards, and talent strategies Foster a strong engineering culture focused on excellence, collaboration, and continuous improvement Scope, Impact, and Influence (P5 Level) Scope: Enterprise wide architecture, including partner ecosystems and regulatory alignment Scale: Organisation wide and often global technology influence Impact: Drives innovation, reduces systemic risk, and ensures future readiness of platforms Influence: Shapes enterprise technology direction, engineering culture, and industry positioning Product & Platform Initiatives Microservice/SaaS Transformation: Lead the transition from monolith and on premise solutions to scalable, resilient SaaS platforms, defining tenancy, deployment models, and operational patterns. Cloud Modernisation (AWS): Architect and govern migrations to AWS using native services (e.g., serverless, managed databases, API Gateway), ensuring security, performance, and cost efficiency. AI Enablement: Enable responsible adoption of AI and GenAI capabilities across the SDLC, including code generation, review, testing, documentation, and deployment automation. Take the technical ownership on implementing AI solutions for product enhancements. Cost of Ownership Optimisation: Drive architectural decisions that reduce TCO through right sizing, serviceselection, automation, and platform standardisation. Architecture & Governance Processes Central Change Governance: Contribute to and lead architecture forums to assess change impact, manage technical risk, and ensure alignment with enterprise strategy. Technical Design Authority (TDA): Act as a design authority for complex initiatives, reviewing and approving architectures, patterns, and non functional requirements. Security & Compliance by Design: Embed global security best practices into architecture and delivery, ensuring compliance with regulatory and organisational standards. Pre Sales Enablement: Provide architectural leadership for RFI/RFP responses and Proofs of Concept, shaping credible, scalable, and secure technical propositions. Technical Competencies System & Application Architecture: Expert level authority across distributed systems, APIs, security, and compliance Cloud Architecture & Infrastructure: Mastery in defining enterprise cloud strategy, including vendor selection and governance Integration & Interoperability: Deep expertise in ecosystem integrations and platform connectivity Security & Compliance: Advanced knowledge of enterprise security frameworks and regulatory requirements Development Tools & Methodologies: Leadership in engineering enablement, tooling strategy, and delivery practices Domain Expertise: Strong experience in insurance and/or wealth management, with the ability to drive innovation within these sectors Qualifications Core Engineering: .NET Framework and C#, SQL, MVC, REST and SOAP APIs, with strong experience in designing maintainable, testable systems. AI Assisted Engineering: Practical use of GenAI to accelerate development while maintaining quality, security, and governance standards. API & Integration: Headless API design, event driven and service oriented architectures, and secure integration across distributed systems. Cloud & DevOps: AWS native architectures, CI/CD automation using GitHub Actions, infrastructure and deployment optimisation. Security Engineering: Security by design mindset with applied knowledge of OWASP Top 10, WCAG, OAuth2, MFA, and secure identity patterns. . click apply for full job details
17/06/2026
Full time
Overview As a global market leader, iPipeline combines technology, innovation, and expertise to deliver ground-breaking, award-winning software solutions that transform the life insurance, financial services, and protection industries. With one of the industry's largest data sets, we help advisors/advisers and agents to transform paper and manual operations into a secure, seamless digital experience - from proposal to commission- so they can help better secure the financial futures of their clients. At iPipeline, you'll play a major role in helping us to provide best-in class, transformative solutions. We're passionate, creative, and innovative, and together as a team, we continually strive to advance, accelerate, and expand the reach of our technology. We value different perspectives and are committed to creating an environment that embraces diverse backgrounds and fosters inclusion. We're proud that we've been recognized as a repeat winner of various industry awards, demonstrating our excellence and highlighting us as a top workplace in both the US and the UK. We believe that the culture we've built for our nearly 900 employees around the word is exceptional - and we've created a place where our employees love to come to work, every single day. Come join our team! About iPipeline Founded in 1995, iPipeline operates as a business unit of Roper Technologies (Nasdaq: ROP), a constituent of the Nasdaq 100, S&P 500 , and Fortune 1000 indices. iPipeline is a leading global provider of comprehensive and integrated digital solutions for the life insurance and financial services industries in North America, and life insurance and pensions industries in the UK. We couple one of the most expansive digital and automated platforms with one of the industry's largest data libraries to accelerate, automate, and simplify various applications, processes, and workflows - from quote to commission - with seamless integration. Our vision is to help everyone achieve lasting financial security by delivering innovative solutions that connect, simplify, and transform the industry. iPipeline is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to gender, race, color, religious creed, national origin, age, sexual orientation, gender identity, physical or mental disability, and/or protected veteran status. We are committed to building a supportive and inclusive environment for all employees. This is a Hybrid position. Responsibilities The Advisory Software Architect is a senior strategic leader responsible for defining and driving the enterprise wide architectural vision across software systems and applications. This role ensures that technology solutions align with business needs while maintaining the highest standards of security, performance, scalability, and quality. As a trusted advisor to senior leadership, the role influences long term technology strategy, leads complex transformation initiatives (e.g., Micro Service Architecture and SaaS transformation, cloud adoption, AI integration, technical stack modernisation), and governs architectural consistency across the enterprise and partner ecosystems. The position also plays a key role in shaping industry best practices and representing the organisation externally. Key Responsibilities Enterprise & Ecosystem Architecture Design and oversee the implementation of enterprise wide software architecture, spanning internal platforms, cloud environments, and external partner ecosystems Develop "big picture" architectural frameworks to guide engineering teams and ensure alignment with business strategy Ensure architectural consistency, scalability, performance, and maintainability across all systems Strategic Technology Leadership Influence executive level decision making by aligning architectural strategy with evolving business and market needs Evaluate and recommend emerging tools, technologies, and processes to enhance platform capability and innovation Define development standards, including technology choices, workflows, and coding practices Transformation & Modernisation Lead large scale technology transformations such as: Cloud migration and hybrid architecture strategies Monolith-to-microservices evolution AI, analytics, and data platform integration Drive innovation in digital customer experiences within fintech and insurtech domains Architecture Governance & Risk Management Establish and lead enterprise architectural governance frameworks Ensure adherence to security, compliance, regulatory, and quality standards Identify and mitigate long term architectural risks (e.g., vendor lock in, scalability constraints, regulatory exposure) Technical Design & Solution Development Conduct research, analyse data, gather requirements, and define end to end solutions Create architectural artefacts representing system functions, integrations, and user interfaces Provide expert technical guidance and oversight to development teams Integration & Interoperability Lead enterprise and ecosystem wide integration strategies, including APIs, partner platforms, and third party systems Ensure seamless interoperability across internal systems and external stakeholders External Representation & Industry Influence Represent the organisation at industry forums, regulatory groups, and technical consortiums Contribute to shaping broader industry architecture standards and best practices Leadership & Mentorship Coach and mentor architects and senior engineering leaders across the organisation Develop internal architectural frameworks, standards, and talent strategies Foster a strong engineering culture focused on excellence, collaboration, and continuous improvement Scope, Impact, and Influence (P5 Level) Scope: Enterprise wide architecture, including partner ecosystems and regulatory alignment Scale: Organisation wide and often global technology influence Impact: Drives innovation, reduces systemic risk, and ensures future readiness of platforms Influence: Shapes enterprise technology direction, engineering culture, and industry positioning Product & Platform Initiatives Microservice/SaaS Transformation: Lead the transition from monolith and on premise solutions to scalable, resilient SaaS platforms, defining tenancy, deployment models, and operational patterns. Cloud Modernisation (AWS): Architect and govern migrations to AWS using native services (e.g., serverless, managed databases, API Gateway), ensuring security, performance, and cost efficiency. AI Enablement: Enable responsible adoption of AI and GenAI capabilities across the SDLC, including code generation, review, testing, documentation, and deployment automation. Take the technical ownership on implementing AI solutions for product enhancements. Cost of Ownership Optimisation: Drive architectural decisions that reduce TCO through right sizing, serviceselection, automation, and platform standardisation. Architecture & Governance Processes Central Change Governance: Contribute to and lead architecture forums to assess change impact, manage technical risk, and ensure alignment with enterprise strategy. Technical Design Authority (TDA): Act as a design authority for complex initiatives, reviewing and approving architectures, patterns, and non functional requirements. Security & Compliance by Design: Embed global security best practices into architecture and delivery, ensuring compliance with regulatory and organisational standards. Pre Sales Enablement: Provide architectural leadership for RFI/RFP responses and Proofs of Concept, shaping credible, scalable, and secure technical propositions. Technical Competencies System & Application Architecture: Expert level authority across distributed systems, APIs, security, and compliance Cloud Architecture & Infrastructure: Mastery in defining enterprise cloud strategy, including vendor selection and governance Integration & Interoperability: Deep expertise in ecosystem integrations and platform connectivity Security & Compliance: Advanced knowledge of enterprise security frameworks and regulatory requirements Development Tools & Methodologies: Leadership in engineering enablement, tooling strategy, and delivery practices Domain Expertise: Strong experience in insurance and/or wealth management, with the ability to drive innovation within these sectors Qualifications Core Engineering: .NET Framework and C#, SQL, MVC, REST and SOAP APIs, with strong experience in designing maintainable, testable systems. AI Assisted Engineering: Practical use of GenAI to accelerate development while maintaining quality, security, and governance standards. API & Integration: Headless API design, event driven and service oriented architectures, and secure integration across distributed systems. Cloud & DevOps: AWS native architectures, CI/CD automation using GitHub Actions, infrastructure and deployment optimisation. Security Engineering: Security by design mindset with applied knowledge of OWASP Top 10, WCAG, OAuth2, MFA, and secure identity patterns. . click apply for full job details
IMPORTANT: This isn't a traditional product manager role. If your first instinct when you have a question is to ask an engineer, this isn't for you. If you measure yourself by features shipped or ceremonies run, this isn't for you. But if you've built your own AI agent to scratch a personal itch, shipped a side project using Lovable or Cursor just to see how far you could take an idea, or read a product spec and immediately rebuilt a prototype before anyone asked you to, then we should talk. About Dragonfly Have you ever wanted to build something that doesn't just improve the status quo, but makes it 100x better? Not just a small step forward, but a complete reinvention. That's what we're doing, and we need the best people to help us make it happen. We're an early-stage start-up out of London working at the intersection of system design, cloud infrastructure and AI to accelerate the adoption of modern tools and technologies. Our goal is nothing less than to enable businesses of all sizes and shapes to leverage best-of-class technologies and latest advancements in GenAI, including agentic frameworks. We've recently launched our product, having raised a hefty pre seed fund from Tier 1 investors with additional contributions from some awesome angels to bring the vision to life. We are now in delivery mode and have already partnered up with 20+ world renowned brands to bring the product to the market. Sounds exciting? This is a rare opportunity to join at the earliest stage and help build the foundations of a generational product. What you'll be doing Focusing on the "slow things" that let the team move fast: the decisions, definitions, and direction that engineers shouldn't need to stop for Participating in two week sprint cycles, with a target of one week sprints: thinking one sprint ahead while the current one is in flight, enabling fast feedback loops without pulling engineers into every conversation Leading strategic sessions: clarifying what's been decided, preventing the team from revisiting settled questions, and defending product direction under pressure Defining what good looks like from a user's perspective: if the product suggests Datadog alternatives, you know whether that list would make a senior buyer trust it or dismiss it, and you use that judgment to shape what we build Shaping how our intelligence agents reason: what they should weigh, surface, and present Being the team's deepest source of user understanding: through genuine ongoing proximity to the people who buy and use these products, not periodic research sprints Working with a generative product surface: the product composes interfaces from data and AI on demand; you define what users need to understand, not what the screen should look like Helping set the foundational design guardrails the team can build within: working with our designer to move from pixel level decisions to principles that scale Staying at the frontier of AI powered product development: trialling new tools and techniques, evangelising what works, and raising the bar on what fast looks like. This is a core responsibility, not a nice to have We are looking for someone who Has a technical background, ideally a degree in Computer Science, Engineering, or equivalent. Fully fluent in how software is built: you understand what's happening under the hood and never create noise by asking what you could find yourself Reaches for internal documentation, agents, and tooling first. Self reliance isn't a preference here, it's the baseline Is AI native, not occasionally, but as default. Claude Code, Cursor, Lovable, and similar tools are how you work. You build prototypes before meetings, validate hypotheses without pulling in engineering, and move faster because of it. If you're not already using AI tooling daily to ship real work, this isn't the right role Has already taken a product idea as far as it will go on their own, built a prototype, shipped a side project, entered a hackathon (without waiting to be asked) Thinks in components and generative interfaces, not fixed screens and wireframes Can look at a product comparison and immediately articulate what's useful, what's missing, and what would make a senior buyer trust it Makes and defends product direction decisions: doesn't just synthesise, but takes a position and holds it Is comfortable moving fast with imperfect information; knows validation is cheap and acts accordingly Our stack You won't code day to day, but you need to understand what's happening under the hood and be comfortable working directly alongside the systems that power the product. Frontend TypeScript Next.js + React (App Router, RSC) Shadcn UI, Radix UI & Tailwind CSS Data BigQuery Dataform Cube.js Superset Algolia / Vertex AI Search PostgreSQL Infrastructure & DevOps Google Cloud Platform Pulumi GitHub Actions Firebase Cloudflare AI & Machine Learning Python BAML Vertex AI Autonomous engineering agent (ships production code daily) AI Dev Tools Cursor Claude What we offer Competitive salary and meaningful equity package 30 days' annual leave, plus 8 bank holidays Private health insurance Direct access to founders and an experienced, mission driven team Creative freedom and a high trust environment focused on outcomes over process Hybrid setup with weekly in person collaboration in Clerkenwell (3x / week) We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
16/06/2026
Full time
IMPORTANT: This isn't a traditional product manager role. If your first instinct when you have a question is to ask an engineer, this isn't for you. If you measure yourself by features shipped or ceremonies run, this isn't for you. But if you've built your own AI agent to scratch a personal itch, shipped a side project using Lovable or Cursor just to see how far you could take an idea, or read a product spec and immediately rebuilt a prototype before anyone asked you to, then we should talk. About Dragonfly Have you ever wanted to build something that doesn't just improve the status quo, but makes it 100x better? Not just a small step forward, but a complete reinvention. That's what we're doing, and we need the best people to help us make it happen. We're an early-stage start-up out of London working at the intersection of system design, cloud infrastructure and AI to accelerate the adoption of modern tools and technologies. Our goal is nothing less than to enable businesses of all sizes and shapes to leverage best-of-class technologies and latest advancements in GenAI, including agentic frameworks. We've recently launched our product, having raised a hefty pre seed fund from Tier 1 investors with additional contributions from some awesome angels to bring the vision to life. We are now in delivery mode and have already partnered up with 20+ world renowned brands to bring the product to the market. Sounds exciting? This is a rare opportunity to join at the earliest stage and help build the foundations of a generational product. What you'll be doing Focusing on the "slow things" that let the team move fast: the decisions, definitions, and direction that engineers shouldn't need to stop for Participating in two week sprint cycles, with a target of one week sprints: thinking one sprint ahead while the current one is in flight, enabling fast feedback loops without pulling engineers into every conversation Leading strategic sessions: clarifying what's been decided, preventing the team from revisiting settled questions, and defending product direction under pressure Defining what good looks like from a user's perspective: if the product suggests Datadog alternatives, you know whether that list would make a senior buyer trust it or dismiss it, and you use that judgment to shape what we build Shaping how our intelligence agents reason: what they should weigh, surface, and present Being the team's deepest source of user understanding: through genuine ongoing proximity to the people who buy and use these products, not periodic research sprints Working with a generative product surface: the product composes interfaces from data and AI on demand; you define what users need to understand, not what the screen should look like Helping set the foundational design guardrails the team can build within: working with our designer to move from pixel level decisions to principles that scale Staying at the frontier of AI powered product development: trialling new tools and techniques, evangelising what works, and raising the bar on what fast looks like. This is a core responsibility, not a nice to have We are looking for someone who Has a technical background, ideally a degree in Computer Science, Engineering, or equivalent. Fully fluent in how software is built: you understand what's happening under the hood and never create noise by asking what you could find yourself Reaches for internal documentation, agents, and tooling first. Self reliance isn't a preference here, it's the baseline Is AI native, not occasionally, but as default. Claude Code, Cursor, Lovable, and similar tools are how you work. You build prototypes before meetings, validate hypotheses without pulling in engineering, and move faster because of it. If you're not already using AI tooling daily to ship real work, this isn't the right role Has already taken a product idea as far as it will go on their own, built a prototype, shipped a side project, entered a hackathon (without waiting to be asked) Thinks in components and generative interfaces, not fixed screens and wireframes Can look at a product comparison and immediately articulate what's useful, what's missing, and what would make a senior buyer trust it Makes and defends product direction decisions: doesn't just synthesise, but takes a position and holds it Is comfortable moving fast with imperfect information; knows validation is cheap and acts accordingly Our stack You won't code day to day, but you need to understand what's happening under the hood and be comfortable working directly alongside the systems that power the product. Frontend TypeScript Next.js + React (App Router, RSC) Shadcn UI, Radix UI & Tailwind CSS Data BigQuery Dataform Cube.js Superset Algolia / Vertex AI Search PostgreSQL Infrastructure & DevOps Google Cloud Platform Pulumi GitHub Actions Firebase Cloudflare AI & Machine Learning Python BAML Vertex AI Autonomous engineering agent (ships production code daily) AI Dev Tools Cursor Claude What we offer Competitive salary and meaningful equity package 30 days' annual leave, plus 8 bank holidays Private health insurance Direct access to founders and an experienced, mission driven team Creative freedom and a high trust environment focused on outcomes over process Hybrid setup with weekly in person collaboration in Clerkenwell (3x / week) We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
About Air Apps At Air Apps, we believe in thinking bigger-and moving faster. We're a family-founded company on a mission to create the world's first AI-powered Personal & Entrepreneurial Resource Planner (PRP), and we need your passion and ambition to help us change how people plan, work, and live. Born in Lisbon, Portugal in 2018-and now with offices in both Lisbon and San Francisco-we've remained self-funded while reaching over 100 million downloads worldwide. Our long-term focus drives us to challenge the status quo every day, pushing the boundaries of AI-driven solutions that truly make a difference. Here, you'll be a creative force, shaping products that empower people across the globe. Join us on this journey to redefine resource management-and change lives along the way. The Role As an AI/ML Engineer, you will play a crucial role in designing, developing, and optimizing machine learning models to power our mobile applications. You will work closely with product managers, engineers, and designers to create intelligent, data-driven features that enhance user experiences. Your expertise in artificial intelligence and deep learning will help us innovate and stay ahead in the mobile app industry. This is a fully onsite position, based at our office in Lisbon, where you will collaborate closely with cross-functional teams in person and contribute to a dynamic and fast-paced environment. We are open to support with relocation efforts. Responsibilities Develop, train, and optimize machine learning models for various mobile app features. Research and implement state-of-the-art AI techniques to improve user engagement and app performance. Collaborate with cross-functional teams to integrate AI-driven solutions into our applications. Design and maintain scalable ML pipelines, ensuring efficient model deployment and monitoring. Analyze large datasets to derive insights and drive data-driven decision-making. Stay updated with the latest AI trends and best practices, incorporating them into our development processes. Optimize AI models for mobile environments to ensure high performance and low latency. Requirements Around 4+ years of experience in AI/ML development, preferably in mobile applications. Proficiency in Python, TensorFlow, PyTorch, or other ML frameworks. Experience with deep learning, NLP, computer vision, and statistical modeling. Familiarity with cloud-based ML services (AWS, Google Cloud, or Azure). Strong understanding of data structures, algorithms, and software engineering best practices. Experience in deploying and maintaining ML models in production. Ability to work collaboratively in a remote team environment. Strong problem-solving skills and a passion for innovation. What benefits do we offer? Apple hardware ecosystem for work. Annual Bonus Top-tier Health and Life Insurance for peace of mind. Transportation Budget to support your commute needs. Coverflex benefits package for meal allowances, well-being, and more. Childcare support. Air Conference - an opportunity to meet the team, collaborate, and grow together. Pension Fund to support your long-term financial planning. Urban Sports Club membership to keep you active. Meals 100% free at the hub. Diversity & Inclusion At Air Apps, we are committed to fostering a diverse, inclusive, and equitable workplace. We enthusiastically welcome applicants from all backgrounds, experiences, and perspectives. We celebrate diversity in all its forms and believe that varied voices and experiences make us stronger.
13/06/2026
Full time
About Air Apps At Air Apps, we believe in thinking bigger-and moving faster. We're a family-founded company on a mission to create the world's first AI-powered Personal & Entrepreneurial Resource Planner (PRP), and we need your passion and ambition to help us change how people plan, work, and live. Born in Lisbon, Portugal in 2018-and now with offices in both Lisbon and San Francisco-we've remained self-funded while reaching over 100 million downloads worldwide. Our long-term focus drives us to challenge the status quo every day, pushing the boundaries of AI-driven solutions that truly make a difference. Here, you'll be a creative force, shaping products that empower people across the globe. Join us on this journey to redefine resource management-and change lives along the way. The Role As an AI/ML Engineer, you will play a crucial role in designing, developing, and optimizing machine learning models to power our mobile applications. You will work closely with product managers, engineers, and designers to create intelligent, data-driven features that enhance user experiences. Your expertise in artificial intelligence and deep learning will help us innovate and stay ahead in the mobile app industry. This is a fully onsite position, based at our office in Lisbon, where you will collaborate closely with cross-functional teams in person and contribute to a dynamic and fast-paced environment. We are open to support with relocation efforts. Responsibilities Develop, train, and optimize machine learning models for various mobile app features. Research and implement state-of-the-art AI techniques to improve user engagement and app performance. Collaborate with cross-functional teams to integrate AI-driven solutions into our applications. Design and maintain scalable ML pipelines, ensuring efficient model deployment and monitoring. Analyze large datasets to derive insights and drive data-driven decision-making. Stay updated with the latest AI trends and best practices, incorporating them into our development processes. Optimize AI models for mobile environments to ensure high performance and low latency. Requirements Around 4+ years of experience in AI/ML development, preferably in mobile applications. Proficiency in Python, TensorFlow, PyTorch, or other ML frameworks. Experience with deep learning, NLP, computer vision, and statistical modeling. Familiarity with cloud-based ML services (AWS, Google Cloud, or Azure). Strong understanding of data structures, algorithms, and software engineering best practices. Experience in deploying and maintaining ML models in production. Ability to work collaboratively in a remote team environment. Strong problem-solving skills and a passion for innovation. What benefits do we offer? Apple hardware ecosystem for work. Annual Bonus Top-tier Health and Life Insurance for peace of mind. Transportation Budget to support your commute needs. Coverflex benefits package for meal allowances, well-being, and more. Childcare support. Air Conference - an opportunity to meet the team, collaborate, and grow together. Pension Fund to support your long-term financial planning. Urban Sports Club membership to keep you active. Meals 100% free at the hub. Diversity & Inclusion At Air Apps, we are committed to fostering a diverse, inclusive, and equitable workplace. We enthusiastically welcome applicants from all backgrounds, experiences, and perspectives. We celebrate diversity in all its forms and believe that varied voices and experiences make us stronger.
Overview As a global market leader, iPipeline combines technology, innovation, and expertise to deliver ground-breaking, award-winning software solutions that transform the life insurance, financial services, and protection industries. With one of the industry's largest data sets, we help advisors/advisers and agents to transform paper and manual operations into a secure, seamless digital experience - from proposal to commission- so they can help better secure the financial futures of their clients. At iPipeline, you'll play a major role in helping us to provide best-in-class, transformative solutions. We're passionate, creative, and innovative, and together as a team, we continually strive to advance, accelerate, and expand the reach of our technology. We value different perspectives and are committed to creating an environment that embraces diverse backgrounds and fosters inclusion. iPipeline is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to gender, race, color, religious creed, national origin, age, sexual orientation, gender identity, physical or mental disability, and/or protected veteran status. We are committed to building a supportive and inclusive environment for all employees. This is a Hybrid position. Responsibilities The Advisory Software Architect is a senior strategic leader responsible for defining and driving the enterprise-wide architectural vision across software systems and applications. This role ensures that technology solutions align with business needs while maintaining the highest standards of security, performance, scalability, and quality. As a trusted advisor to senior leadership, the role influences long-term technology strategy, leads complex transformation initiatives (e.g., Micro Service Architecture and SaaS transformation, cloud adoption, AI integration, technical stack modernisation), and governs architectural consistency across the enterprise and partner ecosystems. The position also plays a key role in shaping industry best practices and representing the organisation externally. Key Responsibilities Enterprise & Ecosystem Architecture Design and oversee the implementation of enterprise-wide software architecture, spanning internal platforms, cloud environments, and external partner ecosystems Develop "big picture" architectural frameworks to guide engineering teams and ensure alignment with business strategy Ensure architectural consistency, scalability, performance, and maintainability across all systems Strategic Technology Leadership Influence executive-level decision-making by aligning architectural strategy with evolving business and market needs Evaluate and recommend emerging tools, technologies, and processes to enhance platform capability and innovation Define development standards, including technology choices, workflows, and coding practices Transformation & Modernisation Lead large-scale technology transformations such as: Cloud migration and hybrid architecture strategies Monolith-to-microservices evolution AI, analytics, and data platform integration Drive innovation in digital customer experiences within fintech and insurtech domains Architecture Governance & Risk Management Establish and lead enterprise architectural governance frameworks Ensure adherence to security, compliance, regulatory, and quality standards Identify and mitigate long term architectural risks (e.g., vendor lock-in, scalability constraints, regulatory exposure) Technical Design & Solution Development Conduct research, analyse data, gather requirements, and define end to end solutions Create architectural artefacts representing system functions, integrations, and user interfaces Provide expert technical guidance and oversight to development teams Integration & Interoperability Lead enterprise and ecosystem wide integration strategies, including APIs, partner platforms, and third party systems Ensure seamless interoperability across internal systems and external stakeholders External Representation & Industry Influence Represent the organisation at industry forums, regulatory groups, and technical consortiums Contribute to shaping broader industry architecture standards and best practices Leadership & Mentorship Coach and mentor architects and senior engineering leaders across the organisation Develop internal architectural frameworks, standards, and talent strategies Foster a strong engineering culture focused on excellence, collaboration, and continuous improvement Scope, Impact, and Influence (P5 Level) Scope: Enterprise-wide architecture, including partner ecosystems and regulatory alignment Scale: Organisation-wide and often global technology influence Impact: Drives innovation, reduces systemic risk, and ensures future readiness of platforms Influence: Shapes enterprise technology direction, engineering culture, and industry positioning Product & Platform Initiatives Microservice/SaaS Transformation: Lead the transition from monolith and on premise solutions to scalable, resilient SaaS platforms, defining tenancy, deployment models, and operational patterns. Cloud Modernisation (AWS): Architect and govern migrations to AWS using native services (e.g., serverless, managed databases, API Gateway), ensuring security, performance, and cost efficiency. AI Enablement: Enable responsible adoption of AI and GenAI capabilities across the SDLC, including code generation, review, testing, documentation, and deployment automation. Take the technical ownership on implementing AI solutions for product enhancements. Cost of Ownership Optimisation: Drive architectural decisions that reduce TCO through right sizing, serviceselection, automation, and platform standardisation. Architecture & Governance Processes Central Change Governance: Contribute to and lead architecture forums to assess change impact, manage technical risk, and ensure alignment with enterprise strategy. Technical Design Authority (TDA): Act as a design authority for complex initiatives, reviewing and approving architectures, patterns, and non functional requirements. Security & Compliance by Design: Embed global security best practices into architecture and delivery, ensuring compliance with regulatory and organisational standards. Pre Sales Enablement: Provide architectural leadership for RFI/RFP responses and Proofs of Concept, shaping credible, scalable, and secure technical propositions. Technical Competencies System & Application Architecture: Expert-level authority across distributed systems, APIs, security, and compliance Cloud Architecture & Infrastructure: Mastery in defining enterprise cloud strategy, including vendor selection and governance Integration & Interoperability: Deep expertise in ecosystem integrations and platform connectivity Security & Compliance: Advanced knowledge of enterprise security frameworks and regulatory requirements Development Tools & Methodologies: Leadership in engineering enablement, tooling strategy, and delivery practices Domain Expertise: Strong experience in insurance and/or wealth management, with the ability to drive innovation within these sectors Qualifications Core Engineering: .NET Framework and C#, SQL, MVC, REST and SOAP APIs, with strong experience in designing maintainable, testable systems. AI Assisted Engineering: Practical use of GenAI to accelerate development while maintaining quality, security, and governance standards. API & Integration: Headless API design, event driven and service oriented architectures, and secure integration across distributed systems. Cloud & DevOps: AWS native architectures, CI/CD automation using GitHub Actions, infrastructure and deployment optimisation. Security Engineering: Security by design mindset with applied knowledge of OWASP Top 10, WCAG, OAuth2, MFA, and secure identity patterns. Quality & Assurance: Proficient in unit testing frameworks; governance and execution of SAST, DAST, SCA, and penetration testing processes.
13/06/2026
Full time
Overview As a global market leader, iPipeline combines technology, innovation, and expertise to deliver ground-breaking, award-winning software solutions that transform the life insurance, financial services, and protection industries. With one of the industry's largest data sets, we help advisors/advisers and agents to transform paper and manual operations into a secure, seamless digital experience - from proposal to commission- so they can help better secure the financial futures of their clients. At iPipeline, you'll play a major role in helping us to provide best-in-class, transformative solutions. We're passionate, creative, and innovative, and together as a team, we continually strive to advance, accelerate, and expand the reach of our technology. We value different perspectives and are committed to creating an environment that embraces diverse backgrounds and fosters inclusion. iPipeline is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to gender, race, color, religious creed, national origin, age, sexual orientation, gender identity, physical or mental disability, and/or protected veteran status. We are committed to building a supportive and inclusive environment for all employees. This is a Hybrid position. Responsibilities The Advisory Software Architect is a senior strategic leader responsible for defining and driving the enterprise-wide architectural vision across software systems and applications. This role ensures that technology solutions align with business needs while maintaining the highest standards of security, performance, scalability, and quality. As a trusted advisor to senior leadership, the role influences long-term technology strategy, leads complex transformation initiatives (e.g., Micro Service Architecture and SaaS transformation, cloud adoption, AI integration, technical stack modernisation), and governs architectural consistency across the enterprise and partner ecosystems. The position also plays a key role in shaping industry best practices and representing the organisation externally. Key Responsibilities Enterprise & Ecosystem Architecture Design and oversee the implementation of enterprise-wide software architecture, spanning internal platforms, cloud environments, and external partner ecosystems Develop "big picture" architectural frameworks to guide engineering teams and ensure alignment with business strategy Ensure architectural consistency, scalability, performance, and maintainability across all systems Strategic Technology Leadership Influence executive-level decision-making by aligning architectural strategy with evolving business and market needs Evaluate and recommend emerging tools, technologies, and processes to enhance platform capability and innovation Define development standards, including technology choices, workflows, and coding practices Transformation & Modernisation Lead large-scale technology transformations such as: Cloud migration and hybrid architecture strategies Monolith-to-microservices evolution AI, analytics, and data platform integration Drive innovation in digital customer experiences within fintech and insurtech domains Architecture Governance & Risk Management Establish and lead enterprise architectural governance frameworks Ensure adherence to security, compliance, regulatory, and quality standards Identify and mitigate long term architectural risks (e.g., vendor lock-in, scalability constraints, regulatory exposure) Technical Design & Solution Development Conduct research, analyse data, gather requirements, and define end to end solutions Create architectural artefacts representing system functions, integrations, and user interfaces Provide expert technical guidance and oversight to development teams Integration & Interoperability Lead enterprise and ecosystem wide integration strategies, including APIs, partner platforms, and third party systems Ensure seamless interoperability across internal systems and external stakeholders External Representation & Industry Influence Represent the organisation at industry forums, regulatory groups, and technical consortiums Contribute to shaping broader industry architecture standards and best practices Leadership & Mentorship Coach and mentor architects and senior engineering leaders across the organisation Develop internal architectural frameworks, standards, and talent strategies Foster a strong engineering culture focused on excellence, collaboration, and continuous improvement Scope, Impact, and Influence (P5 Level) Scope: Enterprise-wide architecture, including partner ecosystems and regulatory alignment Scale: Organisation-wide and often global technology influence Impact: Drives innovation, reduces systemic risk, and ensures future readiness of platforms Influence: Shapes enterprise technology direction, engineering culture, and industry positioning Product & Platform Initiatives Microservice/SaaS Transformation: Lead the transition from monolith and on premise solutions to scalable, resilient SaaS platforms, defining tenancy, deployment models, and operational patterns. Cloud Modernisation (AWS): Architect and govern migrations to AWS using native services (e.g., serverless, managed databases, API Gateway), ensuring security, performance, and cost efficiency. AI Enablement: Enable responsible adoption of AI and GenAI capabilities across the SDLC, including code generation, review, testing, documentation, and deployment automation. Take the technical ownership on implementing AI solutions for product enhancements. Cost of Ownership Optimisation: Drive architectural decisions that reduce TCO through right sizing, serviceselection, automation, and platform standardisation. Architecture & Governance Processes Central Change Governance: Contribute to and lead architecture forums to assess change impact, manage technical risk, and ensure alignment with enterprise strategy. Technical Design Authority (TDA): Act as a design authority for complex initiatives, reviewing and approving architectures, patterns, and non functional requirements. Security & Compliance by Design: Embed global security best practices into architecture and delivery, ensuring compliance with regulatory and organisational standards. Pre Sales Enablement: Provide architectural leadership for RFI/RFP responses and Proofs of Concept, shaping credible, scalable, and secure technical propositions. Technical Competencies System & Application Architecture: Expert-level authority across distributed systems, APIs, security, and compliance Cloud Architecture & Infrastructure: Mastery in defining enterprise cloud strategy, including vendor selection and governance Integration & Interoperability: Deep expertise in ecosystem integrations and platform connectivity Security & Compliance: Advanced knowledge of enterprise security frameworks and regulatory requirements Development Tools & Methodologies: Leadership in engineering enablement, tooling strategy, and delivery practices Domain Expertise: Strong experience in insurance and/or wealth management, with the ability to drive innovation within these sectors Qualifications Core Engineering: .NET Framework and C#, SQL, MVC, REST and SOAP APIs, with strong experience in designing maintainable, testable systems. AI Assisted Engineering: Practical use of GenAI to accelerate development while maintaining quality, security, and governance standards. API & Integration: Headless API design, event driven and service oriented architectures, and secure integration across distributed systems. Cloud & DevOps: AWS native architectures, CI/CD automation using GitHub Actions, infrastructure and deployment optimisation. Security Engineering: Security by design mindset with applied knowledge of OWASP Top 10, WCAG, OAuth2, MFA, and secure identity patterns. Quality & Assurance: Proficient in unit testing frameworks; governance and execution of SAST, DAST, SCA, and penetration testing processes.
AI EngineerApplylocations: Kings Cross, Londontime type: Full timeposted on: Posted 11 Days Agojob requisition id: UMG-25167Music is Universal It's the passionate and dedicated team at Universal Music who help make us the world's leading music company. From A&R to finance, legal to digital, sales to marketing, Universal Music is the place to grow and develop your career within a truly commercial and innovative business that leads in everything it does.Everyone is welcome to apply for our roles, and we are determined to ensure that no applicant or employee receives less favourable treatment because of gender, race, disability, sexual orientation, religion, belief, age, marital status, background, pregnancy, or caring responsibilities. We also recognise the importance of diversity of thought within our teams and are fully committed to embracing the talents of people with autism, dyslexia, ADHD, and other forms of neurocognitive variation.We will always seek to make appropriate adjustments to recruitment, workplaces, and work processes to be fully inclusive to people with different needs and working styles. If you need us to make any reasonable adjustments for you from application onwards, including alternatives to the online form or to disclose a neurocognitive condition, please email . Department Part of the Global Technology organization, the team's mission is to design and build state of the art AI/ML tools to support and empower Royalty Manager & Artists, and industry professionals.The team covers the full design & development lifecycle, from explorative research to design to prototypes to production scale programs. It typically undertakes programs with applications such as, but not limited to, royalty calculations, income claim, contract agreements, search, recommendation, etc.We are curious, passionate and committed to push the envelope in AI for music. If you are excited at the idea of working on state-of-the-art AI at industry scale and make an impact, we want to hear from you! The Role We're looking for an AI Engineer to build and ship machine learning and generative AI solutions that power how a modern music company operates across A&R insights, marketing optimization, audience growth, content operations, rights/royalty workflows, and creative tools. You'll partner with product, engineering, data, legal, and business teams to take ideas from prototype to production, with a strong focus on reliability, safety, and measurable impact. Key Responsibilities Be Technical Design and implement AI pipelines for automating royalty calculation and relation processes etc. Integrate foundation models (LLMs, vision models, etc.) into products using APIs and custom fine-tuning. Develop and maintain retrieval systems that operate efficiently at scale. Explore frontier software engineering in AI/ML for media, and related opportunities for UMG. Build on state-of-the-art cloud infrastructure. Be collaborative Collaborate with the team and stakeholders to deliver, operate and maintain products. Be part of an innovative and dynamic team. Skills and Experience Required Must have Background in Computer Science, Software Engineering, ML Ops, Artificial Intelligence or related technical field. 5+ years of hands-on professional experience in software/ML engineering. Proven ability to come up with designs for AI/ML systems, pipelines and/or applications, and to implement them successfully. Expertise in quantitative evaluation and benchmarking of state-of-the-art AI models. Up to date knowledge of state of the art for ML Ops, ML infrastructure, including related tools, design patterns, best practices etc. Experience with vector databases (e.g., Pinecone, FAISS, Milvus, Weaviate) and information retrieval systems and methods. Familiarity with media content (video, audio) ML pipelines. Proficiency in Python and common AI/ML libraries (e.g., PyTorch, Hugging Face Transformers, LangChain) and cloud frameworks (VertexAI, Bedrock, Sagemaker). Strong proficiency in Git, CI/CD workflows, and containerization (Docker/Kubernetes). Proficiency with Linux environments and cloud platforms (e.g. AWS, Google Cloud Platform). Ability to write clean, efficient, well documented, and reusable code. Good communication skills, both oral and written. Curious, self-motivated, and proactive. Nice to have Experience training and/or fine-tuning AI models. Experience with LLMs integration, fine-tuning and associated tools (e.g. LangChain, Agent frameworks). Competency in at least one other programming language (e.g. C/C++, Java). Experience going from POC to production-grade system. Key Behaviours Curious Innovator: You stay up to date with frontier AI technologies and enjoy experimenting with fresh ideas that push the boundaries, running experiments, and learning fast from results. Ownership Mindset: You take initiative, follow through on challenges, and bring a sense of accountability to everything you build. Pragmatic Problem Solver: You balance technical depth with real-world practicality - delivering elegant, efficient and robust solutions that get the job done. Collaborative Builder: You thrive in cross-functional teams, translating complex AI concepts into simple, impactful solutions that empower others. Culturally Connected: You have a genuine interest in music and the role of technology in supporting culture. About UMG UK We are Universal Music Group UK - the UK's leading music-based entertainment company. We exist to shape culture through the power of artistry. We help UK artists produce, distribute and promote the most critically acclaimed and commercially successful music to inspire and entertain fans at home and around the world. Bonus Tracks: Your Benefits Group Personal Pension Scheme (between 3% and 9%) Private Medical Insurance 25 paid days of annual leave Interest Free Season Ticket Loan Holiday Purchase scheme Dental and Travel Insurance options Cycle to Work Scheme Salary Sacrifice Cars Subsidised Gym Membership Employee Discounts (Reward Gateway)Just So You Know The company presents this job description as a guide to the major areas and duties for which the jobholder is accountable. However, the business operates in an environment that demands change and the jobholder's specific responsibilities and activities will vary and develop. Therefore, the job description should be seen as indicative and not as a permanent, definitive, and exhaustive statement.
12/06/2026
Full time
AI EngineerApplylocations: Kings Cross, Londontime type: Full timeposted on: Posted 11 Days Agojob requisition id: UMG-25167Music is Universal It's the passionate and dedicated team at Universal Music who help make us the world's leading music company. From A&R to finance, legal to digital, sales to marketing, Universal Music is the place to grow and develop your career within a truly commercial and innovative business that leads in everything it does.Everyone is welcome to apply for our roles, and we are determined to ensure that no applicant or employee receives less favourable treatment because of gender, race, disability, sexual orientation, religion, belief, age, marital status, background, pregnancy, or caring responsibilities. We also recognise the importance of diversity of thought within our teams and are fully committed to embracing the talents of people with autism, dyslexia, ADHD, and other forms of neurocognitive variation.We will always seek to make appropriate adjustments to recruitment, workplaces, and work processes to be fully inclusive to people with different needs and working styles. If you need us to make any reasonable adjustments for you from application onwards, including alternatives to the online form or to disclose a neurocognitive condition, please email . Department Part of the Global Technology organization, the team's mission is to design and build state of the art AI/ML tools to support and empower Royalty Manager & Artists, and industry professionals.The team covers the full design & development lifecycle, from explorative research to design to prototypes to production scale programs. It typically undertakes programs with applications such as, but not limited to, royalty calculations, income claim, contract agreements, search, recommendation, etc.We are curious, passionate and committed to push the envelope in AI for music. If you are excited at the idea of working on state-of-the-art AI at industry scale and make an impact, we want to hear from you! The Role We're looking for an AI Engineer to build and ship machine learning and generative AI solutions that power how a modern music company operates across A&R insights, marketing optimization, audience growth, content operations, rights/royalty workflows, and creative tools. You'll partner with product, engineering, data, legal, and business teams to take ideas from prototype to production, with a strong focus on reliability, safety, and measurable impact. Key Responsibilities Be Technical Design and implement AI pipelines for automating royalty calculation and relation processes etc. Integrate foundation models (LLMs, vision models, etc.) into products using APIs and custom fine-tuning. Develop and maintain retrieval systems that operate efficiently at scale. Explore frontier software engineering in AI/ML for media, and related opportunities for UMG. Build on state-of-the-art cloud infrastructure. Be collaborative Collaborate with the team and stakeholders to deliver, operate and maintain products. Be part of an innovative and dynamic team. Skills and Experience Required Must have Background in Computer Science, Software Engineering, ML Ops, Artificial Intelligence or related technical field. 5+ years of hands-on professional experience in software/ML engineering. Proven ability to come up with designs for AI/ML systems, pipelines and/or applications, and to implement them successfully. Expertise in quantitative evaluation and benchmarking of state-of-the-art AI models. Up to date knowledge of state of the art for ML Ops, ML infrastructure, including related tools, design patterns, best practices etc. Experience with vector databases (e.g., Pinecone, FAISS, Milvus, Weaviate) and information retrieval systems and methods. Familiarity with media content (video, audio) ML pipelines. Proficiency in Python and common AI/ML libraries (e.g., PyTorch, Hugging Face Transformers, LangChain) and cloud frameworks (VertexAI, Bedrock, Sagemaker). Strong proficiency in Git, CI/CD workflows, and containerization (Docker/Kubernetes). Proficiency with Linux environments and cloud platforms (e.g. AWS, Google Cloud Platform). Ability to write clean, efficient, well documented, and reusable code. Good communication skills, both oral and written. Curious, self-motivated, and proactive. Nice to have Experience training and/or fine-tuning AI models. Experience with LLMs integration, fine-tuning and associated tools (e.g. LangChain, Agent frameworks). Competency in at least one other programming language (e.g. C/C++, Java). Experience going from POC to production-grade system. Key Behaviours Curious Innovator: You stay up to date with frontier AI technologies and enjoy experimenting with fresh ideas that push the boundaries, running experiments, and learning fast from results. Ownership Mindset: You take initiative, follow through on challenges, and bring a sense of accountability to everything you build. Pragmatic Problem Solver: You balance technical depth with real-world practicality - delivering elegant, efficient and robust solutions that get the job done. Collaborative Builder: You thrive in cross-functional teams, translating complex AI concepts into simple, impactful solutions that empower others. Culturally Connected: You have a genuine interest in music and the role of technology in supporting culture. About UMG UK We are Universal Music Group UK - the UK's leading music-based entertainment company. We exist to shape culture through the power of artistry. We help UK artists produce, distribute and promote the most critically acclaimed and commercially successful music to inspire and entertain fans at home and around the world. Bonus Tracks: Your Benefits Group Personal Pension Scheme (between 3% and 9%) Private Medical Insurance 25 paid days of annual leave Interest Free Season Ticket Loan Holiday Purchase scheme Dental and Travel Insurance options Cycle to Work Scheme Salary Sacrifice Cars Subsidised Gym Membership Employee Discounts (Reward Gateway)Just So You Know The company presents this job description as a guide to the major areas and duties for which the jobholder is accountable. However, the business operates in an environment that demands change and the jobholder's specific responsibilities and activities will vary and develop. Therefore, the job description should be seen as indicative and not as a permanent, definitive, and exhaustive statement.
Job Description - ML Engineering Manager Position: ML Engineering Manager Reporting to: Head of Data Engineering Location: York or Lisbon Type: Permanent Band: II Key Responsibilities Line Management of the ML Engineers, leading recruitment and onboarding of new engineers and identifying gaps in capacity and capability. Oversee the team's deployment of ML capabilities and provide support to the Head of Data Engineering, specifically around capacity and delivery of the portfolio. As a Team Lead encouraging coaching and mentoring of team members and supporting value stream management with partner resources. Influence key architectural decisions early on based on business, budgets and resiliency. Moving from a proof of concept to a production ready platform. Coach, mentor and influence ML Engineers into greater ML maturity. Experience building a platform as a service product on top of cloud architecture. Identify bottlenecks and use engineering practices to improve processes. Turn business requirements into solution design diagrams and iterate on them. Break solution diagrams into deliverable pieces of work and milestones. Develop and maintain infrastructure for deploying ML models in real time and batch environments. Build and maintain Python APIs (Flask/FastAPI) to serve ML models. Collaborate with cross discipline engineers to integrate ML services into user facing applications. Work with platform engineers to align with infrastructure best practices and ensure scalable deployments. Review pull requests and contribute to code quality across the MLE team. Monitor and maintain cloud based ML services, ensuring reliability and performance. Design and implement CI/CD pipelines for ML model deployment. Write unit tests and follow object oriented programming principles to ensure maintainable code. Support data modelling and cloud networking tasks as needed. Contribute to development and improvement of the model registry, including tracking and implementation of model discontinuation upgrades and model monitoring. Own the deployment framework for all data science services. Oversee the automation of the data science life cycle (dataset build, training, evaluation, deployment, monitoring) when moving to production. Collaborate closely with data scientists, data engineers and other technical teams to support maturation of analytics practice. Write high quality Python code using industry best practice for model training and deployment. Person Specification / Qualifications Bachelor's/Master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Physics, Engineering) or equivalent. 5+ years as an ML engineer. Good understanding of core data science principles and challenges of migrating research code into production code. Hands on experience with GCP and machine learning engineering, including deploying, monitoring and maintaining ML models in production (neural networks, random forests, etc.). Experience in financial services or insurance with high regulation is an advantage but not required. Solid experience as a Python developer (Flask/FastAPI, OOP, unit testing). Strong understanding of software engineering best practices. Experience with TDD. Experience with infrastructure as code tools like Terraform. Hands on experience with cloud platforms (GCP, AWS, or Azure). Familiarity with Docker and orchestration of deployments. Experience with CI/CD tools and Git based development workflows. Understanding of API operations monitoring and logging. Strong problem solving skills and ability to work independently on technical tasks. Familiarity with Agile methodologies and experience working in Agile teams. Ability to articulate processes and tools used to ensure quality, stability, performance, scalability, deployment, security, and documentation. Creative, proactive, logical, and innovative; will push hard for innovation and automation. Highly results driven, with energy and determination to succeed in a fast paced environment. Ability to work as part of a small team that is part of a larger product division. Proven communication and presentation skills. Comfortable in a rapidly changing environment.
09/06/2026
Full time
Job Description - ML Engineering Manager Position: ML Engineering Manager Reporting to: Head of Data Engineering Location: York or Lisbon Type: Permanent Band: II Key Responsibilities Line Management of the ML Engineers, leading recruitment and onboarding of new engineers and identifying gaps in capacity and capability. Oversee the team's deployment of ML capabilities and provide support to the Head of Data Engineering, specifically around capacity and delivery of the portfolio. As a Team Lead encouraging coaching and mentoring of team members and supporting value stream management with partner resources. Influence key architectural decisions early on based on business, budgets and resiliency. Moving from a proof of concept to a production ready platform. Coach, mentor and influence ML Engineers into greater ML maturity. Experience building a platform as a service product on top of cloud architecture. Identify bottlenecks and use engineering practices to improve processes. Turn business requirements into solution design diagrams and iterate on them. Break solution diagrams into deliverable pieces of work and milestones. Develop and maintain infrastructure for deploying ML models in real time and batch environments. Build and maintain Python APIs (Flask/FastAPI) to serve ML models. Collaborate with cross discipline engineers to integrate ML services into user facing applications. Work with platform engineers to align with infrastructure best practices and ensure scalable deployments. Review pull requests and contribute to code quality across the MLE team. Monitor and maintain cloud based ML services, ensuring reliability and performance. Design and implement CI/CD pipelines for ML model deployment. Write unit tests and follow object oriented programming principles to ensure maintainable code. Support data modelling and cloud networking tasks as needed. Contribute to development and improvement of the model registry, including tracking and implementation of model discontinuation upgrades and model monitoring. Own the deployment framework for all data science services. Oversee the automation of the data science life cycle (dataset build, training, evaluation, deployment, monitoring) when moving to production. Collaborate closely with data scientists, data engineers and other technical teams to support maturation of analytics practice. Write high quality Python code using industry best practice for model training and deployment. Person Specification / Qualifications Bachelor's/Master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Physics, Engineering) or equivalent. 5+ years as an ML engineer. Good understanding of core data science principles and challenges of migrating research code into production code. Hands on experience with GCP and machine learning engineering, including deploying, monitoring and maintaining ML models in production (neural networks, random forests, etc.). Experience in financial services or insurance with high regulation is an advantage but not required. Solid experience as a Python developer (Flask/FastAPI, OOP, unit testing). Strong understanding of software engineering best practices. Experience with TDD. Experience with infrastructure as code tools like Terraform. Hands on experience with cloud platforms (GCP, AWS, or Azure). Familiarity with Docker and orchestration of deployments. Experience with CI/CD tools and Git based development workflows. Understanding of API operations monitoring and logging. Strong problem solving skills and ability to work independently on technical tasks. Familiarity with Agile methodologies and experience working in Agile teams. Ability to articulate processes and tools used to ensure quality, stability, performance, scalability, deployment, security, and documentation. Creative, proactive, logical, and innovative; will push hard for innovation and automation. Highly results driven, with energy and determination to succeed in a fast paced environment. Ability to work as part of a small team that is part of a larger product division. Proven communication and presentation skills. Comfortable in a rapidly changing environment.
About Rebellion Rebellion has been independently developing and publishing incredible video games for 30 years, founded by Jason & Chris Kingsley. In addition to games, the company runs its own film studio, board game division, book publishing arm, and through 2000AD publishes comics and graphic novels such as Judge Dredd. Job Overview We're seeking a skilled and innovative Machine Learning Engineer to join our cutting edge ML Team. You'll be part of a small, highly collaborative group dedicated to pushing the boundaries of AI/ML technology in gaming. Position Summary This mid level position is ideal for someone ready to take ownership of projects, mentor junior engineers, and deliver impactful solutions that help shape the future of our game products. Key Responsibilities Generate game levels and 3D worlds. Enhance our game products. Develop custom tools for our teams. Integrate ML and deep learning (DL) models into our production workflows and real time gaming environments. Implementation, and optimisation of ML algorithms and tools for game level generation and enhancement. Collaborate with cross disciplinary teams (art, design, code) to integrate ML models into real time game workflows. Conduct and direct experiments to improve accuracy, performance, and scalability of ML/DL models. Manage and maintain ML systems, libraries, and pipelines, ensuring robust deployment into production. Analyse diverse datasets to inform model architecture and feature engineering. Stay current with state of the art ML/DL research and evaluate new technologies for practical application. Mentor and guide junior ML engineers, sharing best practices and reviewing their work. Present technical findings, progress, and recommendations to stakeholders and leadership. Requirements MSc in Computer Science, Mathematics, or a similar technical discipline; advanced certifications are a bonus. Proficiency in Python and C++ with a proven track record of delivering robust, scalable ML systems. Professional experience as a Machine Learning Engineer or similar role, with expertise in machine learning algorithms and statistical methods. Hands on experience with supervised, unsupervised, semi supervised, and reinforcement learning; 3D ML/DL exposure is highly desirable. Strong understanding of data structures, software architecture, and data modelling, with experience handling diverse datasets (tabular, computer vision, point cloud, game data). Proficient with ML frameworks (NumPy, OpenCV, scikit learn, PyTorch/PyTorch3D, TensorFlow, Keras). Experience with CI/CD pipelines, version control (GitLab, Perforce), cloud platforms (preferably AWS) and scalable deployment workflows. Outstanding problem solving and analytical capabilities, coupled with the ability to work autonomously and collaborate effectively with other disciplines. Benefits 22 days holidays + Christmas closure (typically 4 days) & bank holidays (increasing with service at 5 years - one day each year until you reach 31 days). Private Medical Insurance, healthcare cash plan, including dental and Vision. Life Assurance, Income Protection & Critical Illness Cover. Enhanced Family Leave. Interest free, tax free loans. Enhanced Pension Scheme. EAP - a range of Mental Health and Wellbeing Support. Loads of additional benefits, including a wide range of discounts, freebies, and social events. Location & Remote Policy The role is based at our riverside headquarters in Oxford, offering a creative and relaxed atmosphere. We provide a relocation package, including moving assistance, temporary accommodation, and full support to ensure a smooth transition. We believe in face to face collaboration and encourage working from our Oxford headquarters, but we understand flexibility matters and are open to discussing hybrid options. Right to Work Statement This role is only open to applicants who have the permanent right to work in the UK. We are unable to provide or take over visa sponsorship. Company Rebellion
09/06/2026
Full time
About Rebellion Rebellion has been independently developing and publishing incredible video games for 30 years, founded by Jason & Chris Kingsley. In addition to games, the company runs its own film studio, board game division, book publishing arm, and through 2000AD publishes comics and graphic novels such as Judge Dredd. Job Overview We're seeking a skilled and innovative Machine Learning Engineer to join our cutting edge ML Team. You'll be part of a small, highly collaborative group dedicated to pushing the boundaries of AI/ML technology in gaming. Position Summary This mid level position is ideal for someone ready to take ownership of projects, mentor junior engineers, and deliver impactful solutions that help shape the future of our game products. Key Responsibilities Generate game levels and 3D worlds. Enhance our game products. Develop custom tools for our teams. Integrate ML and deep learning (DL) models into our production workflows and real time gaming environments. Implementation, and optimisation of ML algorithms and tools for game level generation and enhancement. Collaborate with cross disciplinary teams (art, design, code) to integrate ML models into real time game workflows. Conduct and direct experiments to improve accuracy, performance, and scalability of ML/DL models. Manage and maintain ML systems, libraries, and pipelines, ensuring robust deployment into production. Analyse diverse datasets to inform model architecture and feature engineering. Stay current with state of the art ML/DL research and evaluate new technologies for practical application. Mentor and guide junior ML engineers, sharing best practices and reviewing their work. Present technical findings, progress, and recommendations to stakeholders and leadership. Requirements MSc in Computer Science, Mathematics, or a similar technical discipline; advanced certifications are a bonus. Proficiency in Python and C++ with a proven track record of delivering robust, scalable ML systems. Professional experience as a Machine Learning Engineer or similar role, with expertise in machine learning algorithms and statistical methods. Hands on experience with supervised, unsupervised, semi supervised, and reinforcement learning; 3D ML/DL exposure is highly desirable. Strong understanding of data structures, software architecture, and data modelling, with experience handling diverse datasets (tabular, computer vision, point cloud, game data). Proficient with ML frameworks (NumPy, OpenCV, scikit learn, PyTorch/PyTorch3D, TensorFlow, Keras). Experience with CI/CD pipelines, version control (GitLab, Perforce), cloud platforms (preferably AWS) and scalable deployment workflows. Outstanding problem solving and analytical capabilities, coupled with the ability to work autonomously and collaborate effectively with other disciplines. Benefits 22 days holidays + Christmas closure (typically 4 days) & bank holidays (increasing with service at 5 years - one day each year until you reach 31 days). Private Medical Insurance, healthcare cash plan, including dental and Vision. Life Assurance, Income Protection & Critical Illness Cover. Enhanced Family Leave. Interest free, tax free loans. Enhanced Pension Scheme. EAP - a range of Mental Health and Wellbeing Support. Loads of additional benefits, including a wide range of discounts, freebies, and social events. Location & Remote Policy The role is based at our riverside headquarters in Oxford, offering a creative and relaxed atmosphere. We provide a relocation package, including moving assistance, temporary accommodation, and full support to ensure a smooth transition. We believe in face to face collaboration and encourage working from our Oxford headquarters, but we understand flexibility matters and are open to discussing hybrid options. Right to Work Statement This role is only open to applicants who have the permanent right to work in the UK. We are unable to provide or take over visa sponsorship. Company Rebellion
Please note that this is a hybrid position based in Cardiff, requiring 3 days onsite each week, with the option for remote work on the remaining days. Part of the Rocket Science Group, Atomic Theory comprises a multinational team of seasoned AAA veterans with roots extending from Blizzard, PUBG, Epic, and Unity. We have a track record of delivering player centric, AAA quality experiences, and we're unwavering in our commitment to performance, accessibility, and the meticulous attention to the engineering tools and frameworks that underpin exceptional gameplay. But Atomic Theory is also more than just a studio; for us, it's a sanctuary, a place where our diverse experiences can intersect and combine to carry our solutions to the next level. We're dedicated to aiding studios and publishers in navigating the toughest challenges across today's game development landscape - and with offices in Albany, NY, Brighton, UK and Cardiff, UK, we thrive at the opportunity to Get Sh!t Done on a global scale. Our passion for gaming is at the core of everything we do, inspiring us to collaborate seamlessly. We're not afraid to take on big challenges and push for bold, innovative solutions. Every decision we make is guided by the goal of delivering maximum value and creating a significant, positive impact on our projects. By consistently going above and beyond, we transform every interaction into an exceptional partnership, building trust and delivering excellence. Please note: We have the internal structure to support someone looking to grow or a seasoned veteran ready to drive from day one. Final levelling (Intermediate vs. Senior) will be determined based on the candidate's portfolio, interview performance, and years of relevant experience. About the Role We are seeking a talented and versatile Game Developer to join our growing co dev team. In this role, you will draw upon your broad technical experience to help build high quality game systems and features across a variety of projects. You will contribute to designing, implementing, and evolving gameplay, systems, and tools that help our partners deliver excellent player experiences. You will have the opportunity to work across both proprietary and commercially available game engines, and you should be comfortable adapting to new technologies, workflows, and problem spaces as projects evolve. An ideal candidate is passionate about games, enjoys tackling a wide range of technical challenges, and has a track record of delivering great player and customer experiences across different areas of game development. What You'll Do Feature Development: Implement, maintain, and collaborate on gameplay features, systems, and tools within proprietary and commercially available game engines. Generalist Development: Work across multiple areas of game development such as gameplay, systems, tools, or engine level code, depending on project needs. Critical Problem Solving: Use strong debugging and analytical skills to investigate and resolve complex technical issues across multiple systems. Technical Design: Collaborate with designers, artists, and product leads to break down requirements and deliver practical, player focused solutions. Code Review: Participate in code reviews, provide constructive feedback, and help maintain high standards of code quality and maintainability. What We Value Strong Technical Skills: Professional experience developing games using modern game engines, with proficiency in C++ or similar languages and solid mathematical fundamentals. Engineering Excellence: A commitment to writing clean, maintainable, and efficient code, with a focus on quality and best practices. Breadth of Experience: Comfort working across different systems and disciplines within game development, with a generalist mindset. Team Collaboration: Strong communication skills and the ability to work collaboratively with engineers, designers, producers, and project leads. Problem Solving: A proactive and thoughtful approach to identifying, diagnosing, and resolving technical challenges. Passion for Gaming: A genuine enthusiasm for games and a desire to help create engaging, high quality experiences for players. Interest in Learning: Curiosity and eagerness to learn new technologies, engines, and practices to remain adaptable and effective. What You May Also Have Console Experience: Experience developing for current generation consoles such as Xbox Series X/S, PlayStation 5, or Switch. Mentorship Skills: Experience supporting or mentoring less experienced developers as they build new skills. Stakeholder Communication: Experience working with internal or external partners to gather feedback, provide technical input, and solve problems collaboratively. What We Can Offer Competitive Salary and Benefits Package: Your health and wellbeing is important to us, so we offer a variety of benefits including: Private Pension via Salary Sacrifice Optional Private Medical, Dental, and Vision Coverage Annual Leave, plus Bank Holidays and Winter Break Office Closure Annual Research Credit: We always encourage personal growth, so we provide all of our team members with an annual credit to further enhance your skills! Professional Development: We offer annual reviews, as well as opportunities to collaborate across disciplines, internal tech talks, and the chance to learn from specialists with backgrounds from across the games and software development industries. Work Life Balance: We really believe that home life comes first and we promote a flexible working environment. And as an added bonus: We don't crunch! Family Friendly: We understand the importance of family, which is why we offer 6 weeks full of Maternity, Paternity, and Adoption Leave to support you during this exciting time! Office Perks: In addition to everything above, we also provide: Weekly Team Lunches Snacks, Including the Good (Yorkshire) Tea Fully Equipped Team Lounge, Including our Favourite Consoles and Games And, most importantly, a supportive and creative working environment made up of talented and friendly people, as well as the opportunity to work on some pretty cool games and projects - if we do say so ourselves! A friendly note from the recruitment team: Let us do the work for you: Even if your profile isn't an exact match for all of the qualifications listed above, we still want you to apply. Our team members come from a variety of different industries, not all of which are immediately relevant to game or software development, and we welcome all candidates of similarly varied backgrounds, communities, and identities. Rocket Science is an equal opportunity employer and is committed to providing a worry free workplace void of discrimination or harassment. Rocket Scientists are expected to foster and champion an environment in which everyone has the opportunity to feel included and is afforded the respect and dignity they deserve. Rocket Science does not accept unsolicited résumés from recruiters, employment agencies, or staffing firms.
08/06/2026
Full time
Please note that this is a hybrid position based in Cardiff, requiring 3 days onsite each week, with the option for remote work on the remaining days. Part of the Rocket Science Group, Atomic Theory comprises a multinational team of seasoned AAA veterans with roots extending from Blizzard, PUBG, Epic, and Unity. We have a track record of delivering player centric, AAA quality experiences, and we're unwavering in our commitment to performance, accessibility, and the meticulous attention to the engineering tools and frameworks that underpin exceptional gameplay. But Atomic Theory is also more than just a studio; for us, it's a sanctuary, a place where our diverse experiences can intersect and combine to carry our solutions to the next level. We're dedicated to aiding studios and publishers in navigating the toughest challenges across today's game development landscape - and with offices in Albany, NY, Brighton, UK and Cardiff, UK, we thrive at the opportunity to Get Sh!t Done on a global scale. Our passion for gaming is at the core of everything we do, inspiring us to collaborate seamlessly. We're not afraid to take on big challenges and push for bold, innovative solutions. Every decision we make is guided by the goal of delivering maximum value and creating a significant, positive impact on our projects. By consistently going above and beyond, we transform every interaction into an exceptional partnership, building trust and delivering excellence. Please note: We have the internal structure to support someone looking to grow or a seasoned veteran ready to drive from day one. Final levelling (Intermediate vs. Senior) will be determined based on the candidate's portfolio, interview performance, and years of relevant experience. About the Role We are seeking a talented and versatile Game Developer to join our growing co dev team. In this role, you will draw upon your broad technical experience to help build high quality game systems and features across a variety of projects. You will contribute to designing, implementing, and evolving gameplay, systems, and tools that help our partners deliver excellent player experiences. You will have the opportunity to work across both proprietary and commercially available game engines, and you should be comfortable adapting to new technologies, workflows, and problem spaces as projects evolve. An ideal candidate is passionate about games, enjoys tackling a wide range of technical challenges, and has a track record of delivering great player and customer experiences across different areas of game development. What You'll Do Feature Development: Implement, maintain, and collaborate on gameplay features, systems, and tools within proprietary and commercially available game engines. Generalist Development: Work across multiple areas of game development such as gameplay, systems, tools, or engine level code, depending on project needs. Critical Problem Solving: Use strong debugging and analytical skills to investigate and resolve complex technical issues across multiple systems. Technical Design: Collaborate with designers, artists, and product leads to break down requirements and deliver practical, player focused solutions. Code Review: Participate in code reviews, provide constructive feedback, and help maintain high standards of code quality and maintainability. What We Value Strong Technical Skills: Professional experience developing games using modern game engines, with proficiency in C++ or similar languages and solid mathematical fundamentals. Engineering Excellence: A commitment to writing clean, maintainable, and efficient code, with a focus on quality and best practices. Breadth of Experience: Comfort working across different systems and disciplines within game development, with a generalist mindset. Team Collaboration: Strong communication skills and the ability to work collaboratively with engineers, designers, producers, and project leads. Problem Solving: A proactive and thoughtful approach to identifying, diagnosing, and resolving technical challenges. Passion for Gaming: A genuine enthusiasm for games and a desire to help create engaging, high quality experiences for players. Interest in Learning: Curiosity and eagerness to learn new technologies, engines, and practices to remain adaptable and effective. What You May Also Have Console Experience: Experience developing for current generation consoles such as Xbox Series X/S, PlayStation 5, or Switch. Mentorship Skills: Experience supporting or mentoring less experienced developers as they build new skills. Stakeholder Communication: Experience working with internal or external partners to gather feedback, provide technical input, and solve problems collaboratively. What We Can Offer Competitive Salary and Benefits Package: Your health and wellbeing is important to us, so we offer a variety of benefits including: Private Pension via Salary Sacrifice Optional Private Medical, Dental, and Vision Coverage Annual Leave, plus Bank Holidays and Winter Break Office Closure Annual Research Credit: We always encourage personal growth, so we provide all of our team members with an annual credit to further enhance your skills! Professional Development: We offer annual reviews, as well as opportunities to collaborate across disciplines, internal tech talks, and the chance to learn from specialists with backgrounds from across the games and software development industries. Work Life Balance: We really believe that home life comes first and we promote a flexible working environment. And as an added bonus: We don't crunch! Family Friendly: We understand the importance of family, which is why we offer 6 weeks full of Maternity, Paternity, and Adoption Leave to support you during this exciting time! Office Perks: In addition to everything above, we also provide: Weekly Team Lunches Snacks, Including the Good (Yorkshire) Tea Fully Equipped Team Lounge, Including our Favourite Consoles and Games And, most importantly, a supportive and creative working environment made up of talented and friendly people, as well as the opportunity to work on some pretty cool games and projects - if we do say so ourselves! A friendly note from the recruitment team: Let us do the work for you: Even if your profile isn't an exact match for all of the qualifications listed above, we still want you to apply. Our team members come from a variety of different industries, not all of which are immediately relevant to game or software development, and we welcome all candidates of similarly varied backgrounds, communities, and identities. Rocket Science is an equal opportunity employer and is committed to providing a worry free workplace void of discrimination or harassment. Rocket Scientists are expected to foster and champion an environment in which everyone has the opportunity to feel included and is afforded the respect and dignity they deserve. Rocket Science does not accept unsolicited résumés from recruiters, employment agencies, or staffing firms.
About WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it is possible - through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. About the role As an AI engineer at WRITER, you'll be at the forefront of shaping how enterprises harness superintelligence. This isn't just about theory; you'll be building tangible AI solutions that power the future of work for hundreds of the world's leading companies. Your work will directly impact the performance, scalability, and ethical alignment of our cutting-edge LLMs and AI agents, enabling businesses to unlock unprecedented levels of productivity and innovation with AI that is truly grounded in their data. This role can be hybrid in our London hub. You'll report to the head of AI engineering. What you'll do Architect, develop, and deploy high-performance, scalable AI applications into production environments, ensuring robust integrations with our end-to-end platform. Drive the development of intelligent agents and AI-powered features, translating complex research into practical, impactful solutions for our customers. Collaborate closely with research scientists, data scientists, and product managers to define technical requirements and deliver features that address critical business needs. Contribute to the research and evaluation of emerging AI technologies, frameworks, and tools to maintain WRITER's leadership in the enterprise generative AI space. Champion responsible AI practices, including bias detection, explainability, and safety alignment, making sure our AI is trustworthy and ethical. What you need 5+ years of professional experience building and deploying machine learning or AI systems in a production environment. Proficiency in Python and experience with relevant AI/ML frameworks such as PyTorch, TensorFlow, or JAX. A strong foundation in machine learning principles, deep learning architectures, and natural language processing, particularly with large language models. Experience with cloud platforms (e.g., AWS, GCP, Azure) and MLOps tools for managing the AI lifecycle. Demonstrated ability to write clean, efficient, and well-tested code for scalable software systems. Exceptional problem-solving skills and a passion for tackling complex technical challenges with creative AI solutions. You Connect by collaborating seamlessly across diverse teams, Challenge the status quo to innovate, and Own your projects with a commitment to impact and excellence. Benefits & perks (UK full-time employees) Generous PTO, plus company holidays Comprehensive medical and dental insurance Paid parental leave for all parents (16 weeks) Fertility and family planning support Early-detection cancer testing through Galleri Competitive pension scheme and company contribution Annual work-life stipends for: Wellness stipend for gym, massage/chiropractor, personal training, etc. Learning and development stipend Company-wide off-sites and team off-sites Competitive compensation and company stock options
04/06/2026
Full time
About WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it is possible - through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. About the role As an AI engineer at WRITER, you'll be at the forefront of shaping how enterprises harness superintelligence. This isn't just about theory; you'll be building tangible AI solutions that power the future of work for hundreds of the world's leading companies. Your work will directly impact the performance, scalability, and ethical alignment of our cutting-edge LLMs and AI agents, enabling businesses to unlock unprecedented levels of productivity and innovation with AI that is truly grounded in their data. This role can be hybrid in our London hub. You'll report to the head of AI engineering. What you'll do Architect, develop, and deploy high-performance, scalable AI applications into production environments, ensuring robust integrations with our end-to-end platform. Drive the development of intelligent agents and AI-powered features, translating complex research into practical, impactful solutions for our customers. Collaborate closely with research scientists, data scientists, and product managers to define technical requirements and deliver features that address critical business needs. Contribute to the research and evaluation of emerging AI technologies, frameworks, and tools to maintain WRITER's leadership in the enterprise generative AI space. Champion responsible AI practices, including bias detection, explainability, and safety alignment, making sure our AI is trustworthy and ethical. What you need 5+ years of professional experience building and deploying machine learning or AI systems in a production environment. Proficiency in Python and experience with relevant AI/ML frameworks such as PyTorch, TensorFlow, or JAX. A strong foundation in machine learning principles, deep learning architectures, and natural language processing, particularly with large language models. Experience with cloud platforms (e.g., AWS, GCP, Azure) and MLOps tools for managing the AI lifecycle. Demonstrated ability to write clean, efficient, and well-tested code for scalable software systems. Exceptional problem-solving skills and a passion for tackling complex technical challenges with creative AI solutions. You Connect by collaborating seamlessly across diverse teams, Challenge the status quo to innovate, and Own your projects with a commitment to impact and excellence. Benefits & perks (UK full-time employees) Generous PTO, plus company holidays Comprehensive medical and dental insurance Paid parental leave for all parents (16 weeks) Fertility and family planning support Early-detection cancer testing through Galleri Competitive pension scheme and company contribution Annual work-life stipends for: Wellness stipend for gym, massage/chiropractor, personal training, etc. Learning and development stipend Company-wide off-sites and team off-sites Competitive compensation and company stock options
About WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it is possible - through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. About the role As an AI engineer at WRITER, you'll be at the forefront of shaping how enterprises harness superintelligence. This isn't just about theory; you'll be building tangible AI solutions that power the future of work for hundreds of the world's leading companies. Your work will directly impact the performance, scalability, and ethical alignment of our cutting-edge LLMs and AI agents, enabling businesses to unlock unprecedented levels of productivity and innovation with AI that is truly grounded in their data. This role can be hybrid in our London hub. You'll report to the head of AI engineering. What you'll do Architect, develop, and deploy high-performance, scalable AI applications into production environments, ensuring robust integrations with our end-to-end platform. Drive the development of intelligent agents and AI-powered features, translating complex research into practical, impactful solutions for our customers. Collaborate closely with research scientists, data scientists, and product managers to define technical requirements and deliver features that address critical business needs. Contribute to the research and evaluation of emerging AI technologies, frameworks, and tools to maintain WRITER's leadership in the enterprise generative AI space. Champion responsible AI practices, including bias detection, explainability, and safety alignment, making sure our AI is trustworthy and ethical. What you need 5+ years of professional experience building and deploying machine learning or AI systems in a production environment. Proficiency in Python and experience with relevant AI/ML frameworks such as PyTorch, TensorFlow, or JAX. A strong foundation in machine learning principles, deep learning architectures, and natural language processing, particularly with large language models. Experience with cloud platforms (e.g., AWS, GCP, Azure) and MLOps tools for managing the AI lifecycle. Demonstrated ability to write clean, efficient, and well-tested code for scalable software systems. Exceptional problem-solving skills and a passion for tackling complex technical challenges with creative AI solutions. You Connect by collaborating seamlessly across diverse teams, Challenge the status quo to innovate, and Own your projects with a commitment to impact and excellence. Benefits & perks (UK full-time employees) Generous PTO, plus company holidays Comprehensive medical and dental insurance Paid parental leave for all parents (16 weeks) Fertility and family planning support Early-detection cancer testing through Galleri Competitive pension scheme and company contribution Annual work-life stipends for: Wellness stipend for gym, massage/chiropractor, personal training, etc. Learning and development stipend Company-wide off-sites and team off-sites Competitive compensation and company stock options
04/06/2026
Full time
About WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it is possible - through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. About the role As an AI engineer at WRITER, you'll be at the forefront of shaping how enterprises harness superintelligence. This isn't just about theory; you'll be building tangible AI solutions that power the future of work for hundreds of the world's leading companies. Your work will directly impact the performance, scalability, and ethical alignment of our cutting-edge LLMs and AI agents, enabling businesses to unlock unprecedented levels of productivity and innovation with AI that is truly grounded in their data. This role can be hybrid in our London hub. You'll report to the head of AI engineering. What you'll do Architect, develop, and deploy high-performance, scalable AI applications into production environments, ensuring robust integrations with our end-to-end platform. Drive the development of intelligent agents and AI-powered features, translating complex research into practical, impactful solutions for our customers. Collaborate closely with research scientists, data scientists, and product managers to define technical requirements and deliver features that address critical business needs. Contribute to the research and evaluation of emerging AI technologies, frameworks, and tools to maintain WRITER's leadership in the enterprise generative AI space. Champion responsible AI practices, including bias detection, explainability, and safety alignment, making sure our AI is trustworthy and ethical. What you need 5+ years of professional experience building and deploying machine learning or AI systems in a production environment. Proficiency in Python and experience with relevant AI/ML frameworks such as PyTorch, TensorFlow, or JAX. A strong foundation in machine learning principles, deep learning architectures, and natural language processing, particularly with large language models. Experience with cloud platforms (e.g., AWS, GCP, Azure) and MLOps tools for managing the AI lifecycle. Demonstrated ability to write clean, efficient, and well-tested code for scalable software systems. Exceptional problem-solving skills and a passion for tackling complex technical challenges with creative AI solutions. You Connect by collaborating seamlessly across diverse teams, Challenge the status quo to innovate, and Own your projects with a commitment to impact and excellence. Benefits & perks (UK full-time employees) Generous PTO, plus company holidays Comprehensive medical and dental insurance Paid parental leave for all parents (16 weeks) Fertility and family planning support Early-detection cancer testing through Galleri Competitive pension scheme and company contribution Annual work-life stipends for: Wellness stipend for gym, massage/chiropractor, personal training, etc. Learning and development stipend Company-wide off-sites and team off-sites Competitive compensation and company stock options
Job Summary Position Overview: We are looking for a self motivated Software Engineer to join the Research and Development team responsible for significant contributions to software project initiatives associated with product development and improvements. This person is expected to be responsible for well designed and well tested code, with the ability to apply creative solutions to problems, and thrive in a multi discipline team environment. Responsibilities Designs, develops, tests and documents embedded system software for new and existing Insulet products. Ensures that design is in compliance with company policies and that software activities are appropriate for the design and maintenance of medical products. Writes and maintains design documentation and testing requirements. Works with Quality, Regulatory, Marketing and Manufacturing to ensure that designs meet technical, regulatory and manufacturing requirements. Works closely with other software, software QA, and hardware engineers to integrate, debug, and test systems. Participates in product design reviews. Performs other duties as required. Education and Experience Bachelor's degree in software engineering and 5+ years of relevant work experience. Strong programming skills in C and/or C++. Hands on experience with embedded systems. Experience on processors like ARM, TI and MSP (or similar embedded systems/microcontrollers). Preferred Skills and Competencies Demonstrated working knowledge of software design. Experience developing software for embedded microcontrollers. Knowledge of I2C, SPI, Flash, EEPROM and/or USB. Familiarity with communication systems and/or wireless protocols. Medical device experience. Able to work independently with minimum supervision. Able to be responsible for designing, implementing, and maintaining a section of a design. Detail oriented, effective verbal and written communication skills. Able to communicate with candor and trust at multiple levels of the organization. Demonstrated abilities to leverage creativity in order to overcome obstacles and work with a sense of urgency. Strong software engineering development skills. Knowledge of OS concepts like dead locks, threading, mutual exclusion, interrupt services. Good understanding of RTOS and real time systems. In depth object oriented programming. Familiar with reading electrical schematics. Able to organize and judge multiple priorities. Agile or other software development life cycle concepts. Knowledge of wireless protocols like Bluetooth Low Energy (BLE). Physical Requirements General office environment, may sit for long periods of time. Process We are seeking a mid level Okta Customer Identity (CIAM) Engineer to design, implement, and operate customer facing identity capabilities using the Okta platform. This role is ideal for an engineer who can independently deliver well scoped solutions, apply security best practices to customer authentication flows, and improve reliability through automation and testable deployments. Key Responsibilities Administer and enhance Okta CIAM configurations including customer authentication policies, MFA enrollment, session management, and sign on policies. Build, maintain, and optimize customer identity flows (e.g., login, registration, account recovery, step up authentication) with attention to security and user experience. Implement and manage customer identity features such as custom claims, token/session behavior, and Authorization Server configurations where applicable. Monitor platform health and customer authentication signals; respond to incidents and trends impacting customer login success and security posture. Design and implement integrations with customer facing applications using OIDC/OAuth2.0 and SAML2.0, including troubleshooting end to end auth flows. Partner with application teams to define requirements for claims, scopes, redirect URIs, logout behavior, and session controls. Build and maintain automation using Okta Workflows, event hooks/inline hooks (as applicable), and scripting to reduce manual operations and improve consistency. Improve operational readiness via runbooks, standardized onboarding of new apps, and reusable configuration patterns. Apply security best practices across customer identity including least privilege, secure token policies, MFA strategy, and strong auditability. Support compliance and audit evidence collection including configuration traceability, change history, logs, and documented controls. Maintain high quality, versioned documentation including architecture notes, configuration standards, integration guides, and operational runbooks. Collaborate with security and governance teams to ensure identity designs align to enterprise policies and customer risk tolerances. Lead small to medium initiatives end to end: scoping, design, implementation, testing, and production rollout. Provide technical guidance to junior admins/engineers through reviews, pairing, and knowledge sharing. Contribute to reference architecture and platform standards including reusable patterns, best practices, guardrails, and design templates. Required Qualifications Bachelor's Degree and/or equivalent combination of education and experience. Proven relevant engineering experience including hands on with Okta in a customer identity context. Strong understanding of CIAM fundamentals including authentication flows, MFA enrollment, sessions, and secure customer login patterns. Hands on experience implementing and troubleshooting protocols such as OIDC, OAuth2.0, and SAML2.0. Strong troubleshooting, analytical, written, and verbal communication skills. Preferred Qualifications Okta certification(s) such as Okta Certified Administrator or Professional. Experience with Authorization Servers, custom claims, token customization, and hooks. Experience integrating identity logs with monitoring or SIEM tools. Familiarity with security and compliance frameworks such as NIST, SOC2, and HIPAA. Familiarity with ITSM tools and change management processes (e.g., ServiceNow, Jira). Experience managing identity configuration using tools like Terraform. Practical experience with automation and repeatability concepts. Insulet Corporation is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
03/06/2026
Full time
Job Summary Position Overview: We are looking for a self motivated Software Engineer to join the Research and Development team responsible for significant contributions to software project initiatives associated with product development and improvements. This person is expected to be responsible for well designed and well tested code, with the ability to apply creative solutions to problems, and thrive in a multi discipline team environment. Responsibilities Designs, develops, tests and documents embedded system software for new and existing Insulet products. Ensures that design is in compliance with company policies and that software activities are appropriate for the design and maintenance of medical products. Writes and maintains design documentation and testing requirements. Works with Quality, Regulatory, Marketing and Manufacturing to ensure that designs meet technical, regulatory and manufacturing requirements. Works closely with other software, software QA, and hardware engineers to integrate, debug, and test systems. Participates in product design reviews. Performs other duties as required. Education and Experience Bachelor's degree in software engineering and 5+ years of relevant work experience. Strong programming skills in C and/or C++. Hands on experience with embedded systems. Experience on processors like ARM, TI and MSP (or similar embedded systems/microcontrollers). Preferred Skills and Competencies Demonstrated working knowledge of software design. Experience developing software for embedded microcontrollers. Knowledge of I2C, SPI, Flash, EEPROM and/or USB. Familiarity with communication systems and/or wireless protocols. Medical device experience. Able to work independently with minimum supervision. Able to be responsible for designing, implementing, and maintaining a section of a design. Detail oriented, effective verbal and written communication skills. Able to communicate with candor and trust at multiple levels of the organization. Demonstrated abilities to leverage creativity in order to overcome obstacles and work with a sense of urgency. Strong software engineering development skills. Knowledge of OS concepts like dead locks, threading, mutual exclusion, interrupt services. Good understanding of RTOS and real time systems. In depth object oriented programming. Familiar with reading electrical schematics. Able to organize and judge multiple priorities. Agile or other software development life cycle concepts. Knowledge of wireless protocols like Bluetooth Low Energy (BLE). Physical Requirements General office environment, may sit for long periods of time. Process We are seeking a mid level Okta Customer Identity (CIAM) Engineer to design, implement, and operate customer facing identity capabilities using the Okta platform. This role is ideal for an engineer who can independently deliver well scoped solutions, apply security best practices to customer authentication flows, and improve reliability through automation and testable deployments. Key Responsibilities Administer and enhance Okta CIAM configurations including customer authentication policies, MFA enrollment, session management, and sign on policies. Build, maintain, and optimize customer identity flows (e.g., login, registration, account recovery, step up authentication) with attention to security and user experience. Implement and manage customer identity features such as custom claims, token/session behavior, and Authorization Server configurations where applicable. Monitor platform health and customer authentication signals; respond to incidents and trends impacting customer login success and security posture. Design and implement integrations with customer facing applications using OIDC/OAuth2.0 and SAML2.0, including troubleshooting end to end auth flows. Partner with application teams to define requirements for claims, scopes, redirect URIs, logout behavior, and session controls. Build and maintain automation using Okta Workflows, event hooks/inline hooks (as applicable), and scripting to reduce manual operations and improve consistency. Improve operational readiness via runbooks, standardized onboarding of new apps, and reusable configuration patterns. Apply security best practices across customer identity including least privilege, secure token policies, MFA strategy, and strong auditability. Support compliance and audit evidence collection including configuration traceability, change history, logs, and documented controls. Maintain high quality, versioned documentation including architecture notes, configuration standards, integration guides, and operational runbooks. Collaborate with security and governance teams to ensure identity designs align to enterprise policies and customer risk tolerances. Lead small to medium initiatives end to end: scoping, design, implementation, testing, and production rollout. Provide technical guidance to junior admins/engineers through reviews, pairing, and knowledge sharing. Contribute to reference architecture and platform standards including reusable patterns, best practices, guardrails, and design templates. Required Qualifications Bachelor's Degree and/or equivalent combination of education and experience. Proven relevant engineering experience including hands on with Okta in a customer identity context. Strong understanding of CIAM fundamentals including authentication flows, MFA enrollment, sessions, and secure customer login patterns. Hands on experience implementing and troubleshooting protocols such as OIDC, OAuth2.0, and SAML2.0. Strong troubleshooting, analytical, written, and verbal communication skills. Preferred Qualifications Okta certification(s) such as Okta Certified Administrator or Professional. Experience with Authorization Servers, custom claims, token customization, and hooks. Experience integrating identity logs with monitoring or SIEM tools. Familiarity with security and compliance frameworks such as NIST, SOC2, and HIPAA. Familiarity with ITSM tools and change management processes (e.g., ServiceNow, Jira). Experience managing identity configuration using tools like Terraform. Practical experience with automation and repeatability concepts. Insulet Corporation is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Consultant - Junior Java Engineer - DE - TC - UKI - Belfast Location: Belfast Other locations: Primary Location Only Salary: Competitive Date: 27 May 2026 Job description Requisition ID: At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Junior Java Engineer - Technology Consulting - Belfast In Digital Engineering we shape, concept and build innovative solutions that address the most important issues and opportunities for our clients. Our consultants work in agile, cross-functional teams addressing some of most significant issues facing society today, such as transition to sustainable energy, digitisation of government, scaling high-growth businesses, exploiting the potential of AI and improving wellness with digital healthcare. The core capabilities of our team include: Digital strategy, horizon scanning, and strategic planning. Working in combined teams with Business Designers, Researchers, Strategists, Industry and Functional Specialists, we develop a vision, roadmap and case for change to address fundamental issues facing our clients, such as "how can we grow?", "how do we respond to disruption?" and "what can we do next?" Digital technology delivery management. Using principles of lean start-up and agile, we manage large-scale delivery programmes that include custom software and SaaS solutions, using an ecosystem of EY, client and partner agency resources. We have a range of skills across programme management, solution architecture, product management, business analysis and delivery management. Digital software engineering. Many of our solutions involve custom engineering of unique solutions and experiences created from modern web-scale technologies, such as HTML5, JavaScript, Micro-Services, Cloud Computing and Machine Learning. As a technology specialist, EY offers you the opportunity to apply your skills in a highly strategic context, working on meaningful and impactful solutions that build a better working world. EY is a leader in Business Transformation services and the Digital Engineering team is rapidly growing to enable us to deliver more of our technology work. This is an exciting time for new joiners who will have many opportunities to make their mark on the business and accelerate their personal and professional growth. The opportunity EY is actively growing our Digital Engineering team in Belfast and are expanding our Java Developer team. This is a fantastic opportunity to be part of a leading firm whilst being instrumental in the growth of our service offering. Your key responsibilities Coding new backend developments and / or enhancements. Quality assures program specifications and code. Adhere to code quality and unit testing standards. Work closely with the product team to understand complex business requirements. Identify and implement integration tests, automating tests where appropriate. Investigate and manage complex Live Incidents. Coordinate or escalate defects / problems. Present delivered features to the client. Peer reviewing code changes completed by developers. Support non functional tasks such as technical debt reduction and creation of clear API documentation. Skills and attributes for success A Bachelor's degree in Computer Science, Software Engineering, Software Programming or Information Management. Minimum of 2 years of experience in a backend software development role. Proficiency in Java, including strong understanding of object-oriented programming and core language features. Experience with JUnit and Mockito for unit testing, mocking dependencies, and writing maintainable automated tests. Hands-on experience with build tools such as Gradle or Maven to manage dependencies and automate project builds. Containerisation experience with Docker, including building and running containerised Java applications. Strong understanding of Git for version control, branching strategies, and collaborative development workflows. Experience working with databases, preferably MongoDB and MySQL. Experience working on engagements with technologies and architectures in a product environment Desired knowledge in front end technologies (HTML, JavaScript, CSS, Angular JS, React) Knowledge/experience of agile delivery methodologies (Scrum and DevOps) and application development lifecycle To qualify for the role, you must have Team Player Self-starter and highly motivated Ability to handle high pressure and fast paced situations Excellent communication skills and ability to produce high-quality written deliverables in fluent English Interview process: If you are successful in your application, you will be invited to attend an in-person assessment centre towards the end of February. As part of the assessment centre, candidates will complete a 45-minute technical assessment designed to evaluate their understanding of our technology stack and their ability to work with real code. This exercise will include a series of focused technical questions alongside a practical code-review task, where candidates will be asked to interpret what the code is doing, identify potential issues, and suggest improvements. We will be looking for clear reasoning around maintainability, readability, robustness, and modern best practices, as well as an ability to communicate technical insights effectively. What we look for We're interested in candidates with a genuine creative vision and the confidence to make it happen. You can expect plenty of autonomy in this role, so you'll need the ability to take initiative and seek out opportunities to improve our current relationships and processes. If you're serious about joining Digital Engineering and ready to take on some of our clients' most complex issues, this role is for you. What working at EY offers We offer a competitive remuneration package where you'll be rewarded for your individual and team performance. Our comprehensive Total Rewards package includes support for flexible working and career development, and with FlexEY you can select benefits that suit your needs, covering holidays, health and well-being, insurance, savings and a wide range of discounts, offers and promotions. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that's right for you If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible. Join us in building a better working world. Apply now.
03/06/2026
Full time
Consultant - Junior Java Engineer - DE - TC - UKI - Belfast Location: Belfast Other locations: Primary Location Only Salary: Competitive Date: 27 May 2026 Job description Requisition ID: At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Junior Java Engineer - Technology Consulting - Belfast In Digital Engineering we shape, concept and build innovative solutions that address the most important issues and opportunities for our clients. Our consultants work in agile, cross-functional teams addressing some of most significant issues facing society today, such as transition to sustainable energy, digitisation of government, scaling high-growth businesses, exploiting the potential of AI and improving wellness with digital healthcare. The core capabilities of our team include: Digital strategy, horizon scanning, and strategic planning. Working in combined teams with Business Designers, Researchers, Strategists, Industry and Functional Specialists, we develop a vision, roadmap and case for change to address fundamental issues facing our clients, such as "how can we grow?", "how do we respond to disruption?" and "what can we do next?" Digital technology delivery management. Using principles of lean start-up and agile, we manage large-scale delivery programmes that include custom software and SaaS solutions, using an ecosystem of EY, client and partner agency resources. We have a range of skills across programme management, solution architecture, product management, business analysis and delivery management. Digital software engineering. Many of our solutions involve custom engineering of unique solutions and experiences created from modern web-scale technologies, such as HTML5, JavaScript, Micro-Services, Cloud Computing and Machine Learning. As a technology specialist, EY offers you the opportunity to apply your skills in a highly strategic context, working on meaningful and impactful solutions that build a better working world. EY is a leader in Business Transformation services and the Digital Engineering team is rapidly growing to enable us to deliver more of our technology work. This is an exciting time for new joiners who will have many opportunities to make their mark on the business and accelerate their personal and professional growth. The opportunity EY is actively growing our Digital Engineering team in Belfast and are expanding our Java Developer team. This is a fantastic opportunity to be part of a leading firm whilst being instrumental in the growth of our service offering. Your key responsibilities Coding new backend developments and / or enhancements. Quality assures program specifications and code. Adhere to code quality and unit testing standards. Work closely with the product team to understand complex business requirements. Identify and implement integration tests, automating tests where appropriate. Investigate and manage complex Live Incidents. Coordinate or escalate defects / problems. Present delivered features to the client. Peer reviewing code changes completed by developers. Support non functional tasks such as technical debt reduction and creation of clear API documentation. Skills and attributes for success A Bachelor's degree in Computer Science, Software Engineering, Software Programming or Information Management. Minimum of 2 years of experience in a backend software development role. Proficiency in Java, including strong understanding of object-oriented programming and core language features. Experience with JUnit and Mockito for unit testing, mocking dependencies, and writing maintainable automated tests. Hands-on experience with build tools such as Gradle or Maven to manage dependencies and automate project builds. Containerisation experience with Docker, including building and running containerised Java applications. Strong understanding of Git for version control, branching strategies, and collaborative development workflows. Experience working with databases, preferably MongoDB and MySQL. Experience working on engagements with technologies and architectures in a product environment Desired knowledge in front end technologies (HTML, JavaScript, CSS, Angular JS, React) Knowledge/experience of agile delivery methodologies (Scrum and DevOps) and application development lifecycle To qualify for the role, you must have Team Player Self-starter and highly motivated Ability to handle high pressure and fast paced situations Excellent communication skills and ability to produce high-quality written deliverables in fluent English Interview process: If you are successful in your application, you will be invited to attend an in-person assessment centre towards the end of February. As part of the assessment centre, candidates will complete a 45-minute technical assessment designed to evaluate their understanding of our technology stack and their ability to work with real code. This exercise will include a series of focused technical questions alongside a practical code-review task, where candidates will be asked to interpret what the code is doing, identify potential issues, and suggest improvements. We will be looking for clear reasoning around maintainability, readability, robustness, and modern best practices, as well as an ability to communicate technical insights effectively. What we look for We're interested in candidates with a genuine creative vision and the confidence to make it happen. You can expect plenty of autonomy in this role, so you'll need the ability to take initiative and seek out opportunities to improve our current relationships and processes. If you're serious about joining Digital Engineering and ready to take on some of our clients' most complex issues, this role is for you. What working at EY offers We offer a competitive remuneration package where you'll be rewarded for your individual and team performance. Our comprehensive Total Rewards package includes support for flexible working and career development, and with FlexEY you can select benefits that suit your needs, covering holidays, health and well-being, insurance, savings and a wide range of discounts, offers and promotions. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that's right for you If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible. Join us in building a better working world. Apply now.
Senior Product Designer - EY's Hive About Our mission is to transform the working lives of tax and finance professionals. Here at the Innovation Hive, we are an energetic and driven team with a passion for revolutionising the ways in which tax and finance teams work. Founded only a few years ago, we have built a platform leveraging the latest technology (including AI) and have already enjoyed strong internal and external adoption. Our early success has ensured significant ongoing investment to scale the platform and build new features, we are well set to become the leading tech solution in the market. With the move towards making tax digital and increased remote working, there has never been a better time to join our team, work on real challenges and help build game-changing digital solutions for our industry. The opportunity We are looking for a talented senior product designer who can work across all stages of design, from understanding the core user problem to shipping a well-tested UI. As a senior member of the team, you will help build UX maturity within the Innovation Hive and champion human-centred design. You will enjoy working with stakeholders, engineers, and product managers to create simple solutions that solve complex problems for our users. The ideal candidate is someone who: Can empathise with users and have a holistic view of the product in mind Enjoy s working on problems, rather than features Acts as a facilitator and can work effectively alongside product managers and engineers Welcomes and invites feedback regularly from stakeholders and users Is comfortable working in a fast-paced and collaborative environment Proactively identifies and tackles opportunities to improve our ways of working What you will do Innovate - own every aspect of the product's design, focusing on the key user problems and creating innovative solutions that deliver a simple and intuitive user experience Manage - gather user and business requirements for design briefs Discover - collaborate with our researcher and product managers to conduct user research Prototype and test - create wireframes and prototypes to validate with users for rapid iteration Deliver - create beautifully polished UI and be able to communicate the detail to development scrum teams ensuring seamless hand-offs Collaborate - foster strong working relationships with product managers and engineers Communicate - be transparent and be able to communicate ideas to stakeholders Coach - coach and encourage junior product designers in a continuous learning environment What You Definitely Need We expect our product designers to be well rounded so you should have user experience, user interaction and commercial product experience Ability to apply a wide range of design thinking techniques, able to deliver innovative conceptual thinking, whilst also having the right analytical and technical mind-set and skills to work out the details to deliver real value to the product Experience running design workshops Proven experience with design systems, grid frameworks, delivering to and creating style guides and other responsive design experience Experience working alongside developers in an iterative way as part of an agile team Recognised Degree or similar experience (essential) and Masters (desirable) Proficient with design tools such as Sketch, Figma, Adobe CS, InVision, Zeplin, Marvel Experience designing enterprise or financial software (desirable) Our core values Empathetic - you take the time to understand what drives other team members, what motivates them and how to achieve mutual objectives Humble - you actively seek feedback and feel comfortable providing it to others. You are not overly influenced by organisational hierarchy Hungry - you are excited by what you do, and you bring an enthusiasm to your job Adaptable - you are comfortable re-evaluating your view when presented with contrasting facts and your opinions What working at EY offers We offer a competitive remuneration package where you'll be rewarded for your individual and team performance. Our comprehensive Total Rewards package includes support for flexible working and career development, and with FlexEY you can select benefits that suit your needs, covering holidays, health and well-being, insurance, savings and a wide range of discounts, offers and promotions. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that's right for you EY is committed to being an inclusive employer and we are happy to consider flexible working arrangements. We strive to achieve the right balance for our people, enabling us to deliver excellent client service whilst allowing you to build your career without sacrificing your personal priorities. While our client- facing professionals can be required to travel regularly, and at times be based at client sites, our flexible working arrangements can help you to achieve a lifestyle balance. About EY As a global leader in assurance, tax, transaction, and advisory services, we're using the finance products, expertise and systems we've developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities, and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. Want to build a better working world? We'd love to hear from you.
01/02/2022
Full time
Senior Product Designer - EY's Hive About Our mission is to transform the working lives of tax and finance professionals. Here at the Innovation Hive, we are an energetic and driven team with a passion for revolutionising the ways in which tax and finance teams work. Founded only a few years ago, we have built a platform leveraging the latest technology (including AI) and have already enjoyed strong internal and external adoption. Our early success has ensured significant ongoing investment to scale the platform and build new features, we are well set to become the leading tech solution in the market. With the move towards making tax digital and increased remote working, there has never been a better time to join our team, work on real challenges and help build game-changing digital solutions for our industry. The opportunity We are looking for a talented senior product designer who can work across all stages of design, from understanding the core user problem to shipping a well-tested UI. As a senior member of the team, you will help build UX maturity within the Innovation Hive and champion human-centred design. You will enjoy working with stakeholders, engineers, and product managers to create simple solutions that solve complex problems for our users. The ideal candidate is someone who: Can empathise with users and have a holistic view of the product in mind Enjoy s working on problems, rather than features Acts as a facilitator and can work effectively alongside product managers and engineers Welcomes and invites feedback regularly from stakeholders and users Is comfortable working in a fast-paced and collaborative environment Proactively identifies and tackles opportunities to improve our ways of working What you will do Innovate - own every aspect of the product's design, focusing on the key user problems and creating innovative solutions that deliver a simple and intuitive user experience Manage - gather user and business requirements for design briefs Discover - collaborate with our researcher and product managers to conduct user research Prototype and test - create wireframes and prototypes to validate with users for rapid iteration Deliver - create beautifully polished UI and be able to communicate the detail to development scrum teams ensuring seamless hand-offs Collaborate - foster strong working relationships with product managers and engineers Communicate - be transparent and be able to communicate ideas to stakeholders Coach - coach and encourage junior product designers in a continuous learning environment What You Definitely Need We expect our product designers to be well rounded so you should have user experience, user interaction and commercial product experience Ability to apply a wide range of design thinking techniques, able to deliver innovative conceptual thinking, whilst also having the right analytical and technical mind-set and skills to work out the details to deliver real value to the product Experience running design workshops Proven experience with design systems, grid frameworks, delivering to and creating style guides and other responsive design experience Experience working alongside developers in an iterative way as part of an agile team Recognised Degree or similar experience (essential) and Masters (desirable) Proficient with design tools such as Sketch, Figma, Adobe CS, InVision, Zeplin, Marvel Experience designing enterprise or financial software (desirable) Our core values Empathetic - you take the time to understand what drives other team members, what motivates them and how to achieve mutual objectives Humble - you actively seek feedback and feel comfortable providing it to others. You are not overly influenced by organisational hierarchy Hungry - you are excited by what you do, and you bring an enthusiasm to your job Adaptable - you are comfortable re-evaluating your view when presented with contrasting facts and your opinions What working at EY offers We offer a competitive remuneration package where you'll be rewarded for your individual and team performance. Our comprehensive Total Rewards package includes support for flexible working and career development, and with FlexEY you can select benefits that suit your needs, covering holidays, health and well-being, insurance, savings and a wide range of discounts, offers and promotions. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that's right for you EY is committed to being an inclusive employer and we are happy to consider flexible working arrangements. We strive to achieve the right balance for our people, enabling us to deliver excellent client service whilst allowing you to build your career without sacrificing your personal priorities. While our client- facing professionals can be required to travel regularly, and at times be based at client sites, our flexible working arrangements can help you to achieve a lifestyle balance. About EY As a global leader in assurance, tax, transaction, and advisory services, we're using the finance products, expertise and systems we've developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities, and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. Want to build a better working world? We'd love to hear from you.
UK CITIZENSHIP REQUIRED FOR THIS POSITION: YesRELOCATION ASSISTANCE: No relocation assistance availableCLEARANCE TYPE: UK-Baseline Personnel Security Standard (BPSS)TRAVEL: Yes, 25% of the TimeDescriptionJoin Northrop Grumman on our continued mission to push the boundaries of possible across land, sea, air, space, and cyberspace. Enjoy a culture where your voice is valued and start contributing to our team of passionate professionals providing real-life solutions to our world's biggest challenges. We take pride in creating purposeful work and allowing our employees to grow and achieve their goals every day by Defining Possible. With our competitive pay and comprehensive benefits, we have the right opportunities to fit your life and launch your career today.Are you a Senior UX Specialist who would like to join a leading software engineering team within an evolving and dynamic organisation?Due to the success of a number of strategic Gloucestershire based programmes, we are growing our User Experience team with creative and ambitious UX Specialists. With a primary focus on developing cutting-edge digital surfaces in a rapid iterative way, this is an opportunity for you to help shape the future of our HCI provision.What you'll be doing:Delivering cutting edge User Centred Design (UCD) focused applicationsResearching, ideating and conceptualising digital solutions within a multi-disciplinary team of stakeholders, analysts, developers, UX specialists (and more)Participating in user research, research analysis and user interviewsTesting your output with varied and inclusive user groups so that you may validate your ideas and use feedback to introduce new features and/or discover methods of improvementDocumenting features, specifications and use-cases into practical guides for development teams and peers to followKnowledge sharing and collaborating on a routine basis by attending weekly design forums and workshopsPresenting to stakeholders in multi-team project demonstrationsPromoting UX standards and practices across the wider business as well as contributing to the internal UX communityWhat we're looking for in you:A varied portfolio showing the quality of your design work, UX work and any user researchMust have experience as a UX SpecialistCapable of understanding business/stakeholder needs as well as user needs Familiar with Agile & Lean methodology with a willingness to work in a fast paced agile environmentEvidence of good communication skills across the project-team and stakeholders in order to manage and make progress, keeping the product delivery on trackA solid understanding of UX practices with particular emphasis on digital surfaces and software developmentA solid understanding of accessibility (WCAG 2.1) and inclusive design techniques or keen willingness to learnAn ability to analyse user behaviour and needs from both qualitative and quantitative methodsAn ability to use your own initiative to generate ideas, suggest processes and ways of workingA keen eye for detail and consistency across your own workAt ease using typical UX design tools, (either) Figma, Balsamiq, Draw.io and where there is an absence of tools, capable of using your own initiative in order to maintain progressComfortable participating in collaborative workshopsGood interpersonal skillsWhat would also be advantageous?Experience using Agile tools such as Jira and ConfluenceComfortable with HTML5, CSS3 and vanilla JavaScriptExperience using a range of design tools, Photoshop, Illustrator, InkScape, Gimp, PowerPoint (yes, PowerPoint)A knowledge of, or experience with, JavaScript front-end web frameworks such as React.js or AngularA knowledge of, or experience with, modern style libraries such as Bootstrap or Material DesignAn interest in current UX communities and eventsAdditional information for your consideration...You must be able obtain and hold UK Government clearances Opportunities exist across the UK to enhance your career progressionNorthrop Grumman is committed to equality and diversity in our workplace. Northrop Grumman provides equal employment opportunity to all employees and applicants without regard to an individual's protected status, including race/ethnic origin, color, nationality, national origin, ancestry, sex/gender, gender identity/expression, gender reassignment, sexual orientation, marriage/civil partnership, pregnancy/maternity, religion or belief, creed, age, disability, genetic information, or any other protected status or characteristic.
06/10/2021
Full time
UK CITIZENSHIP REQUIRED FOR THIS POSITION: YesRELOCATION ASSISTANCE: No relocation assistance availableCLEARANCE TYPE: UK-Baseline Personnel Security Standard (BPSS)TRAVEL: Yes, 25% of the TimeDescriptionJoin Northrop Grumman on our continued mission to push the boundaries of possible across land, sea, air, space, and cyberspace. Enjoy a culture where your voice is valued and start contributing to our team of passionate professionals providing real-life solutions to our world's biggest challenges. We take pride in creating purposeful work and allowing our employees to grow and achieve their goals every day by Defining Possible. With our competitive pay and comprehensive benefits, we have the right opportunities to fit your life and launch your career today.Are you a Senior UX Specialist who would like to join a leading software engineering team within an evolving and dynamic organisation?Due to the success of a number of strategic Gloucestershire based programmes, we are growing our User Experience team with creative and ambitious UX Specialists. With a primary focus on developing cutting-edge digital surfaces in a rapid iterative way, this is an opportunity for you to help shape the future of our HCI provision.What you'll be doing:Delivering cutting edge User Centred Design (UCD) focused applicationsResearching, ideating and conceptualising digital solutions within a multi-disciplinary team of stakeholders, analysts, developers, UX specialists (and more)Participating in user research, research analysis and user interviewsTesting your output with varied and inclusive user groups so that you may validate your ideas and use feedback to introduce new features and/or discover methods of improvementDocumenting features, specifications and use-cases into practical guides for development teams and peers to followKnowledge sharing and collaborating on a routine basis by attending weekly design forums and workshopsPresenting to stakeholders in multi-team project demonstrationsPromoting UX standards and practices across the wider business as well as contributing to the internal UX communityWhat we're looking for in you:A varied portfolio showing the quality of your design work, UX work and any user researchMust have experience as a UX SpecialistCapable of understanding business/stakeholder needs as well as user needs Familiar with Agile & Lean methodology with a willingness to work in a fast paced agile environmentEvidence of good communication skills across the project-team and stakeholders in order to manage and make progress, keeping the product delivery on trackA solid understanding of UX practices with particular emphasis on digital surfaces and software developmentA solid understanding of accessibility (WCAG 2.1) and inclusive design techniques or keen willingness to learnAn ability to analyse user behaviour and needs from both qualitative and quantitative methodsAn ability to use your own initiative to generate ideas, suggest processes and ways of workingA keen eye for detail and consistency across your own workAt ease using typical UX design tools, (either) Figma, Balsamiq, Draw.io and where there is an absence of tools, capable of using your own initiative in order to maintain progressComfortable participating in collaborative workshopsGood interpersonal skillsWhat would also be advantageous?Experience using Agile tools such as Jira and ConfluenceComfortable with HTML5, CSS3 and vanilla JavaScriptExperience using a range of design tools, Photoshop, Illustrator, InkScape, Gimp, PowerPoint (yes, PowerPoint)A knowledge of, or experience with, JavaScript front-end web frameworks such as React.js or AngularA knowledge of, or experience with, modern style libraries such as Bootstrap or Material DesignAn interest in current UX communities and eventsAdditional information for your consideration...You must be able obtain and hold UK Government clearances Opportunities exist across the UK to enhance your career progressionNorthrop Grumman is committed to equality and diversity in our workplace. Northrop Grumman provides equal employment opportunity to all employees and applicants without regard to an individual's protected status, including race/ethnic origin, color, nationality, national origin, ancestry, sex/gender, gender identity/expression, gender reassignment, sexual orientation, marriage/civil partnership, pregnancy/maternity, religion or belief, creed, age, disability, genetic information, or any other protected status or characteristic.
Category: Information Technology Location: Cheltenham - GLS, United Kingdom Citizenship Required: United Kingdom Citizenship Clearance Type: Baseline Personnel Security Standard (BPSS) Telecommute: Yes- May Consider Occasional/Part-Time Teleworking for this position Travel Required: Yes, 25% of the Time Positions Available: 3 At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Are you a Senior UX Specialist who would like to join a leading software engineering team within an evolving and dynamic organisation?Due to the success of a number of strategic Gloucestershire based programmes, we are growing our User Experience team with creative and ambitious UX Specialists. With a primary focus on developing cutting-edge digital surfaces in a rapid iterative way, this is an opportunity for you to help shape the future of our HCI provision. What you'll be doing:Delivering cutting edge User Centred Design (UCD) focused applicationsResearching, ideating and conceptualising digital solutions within a multi-disciplinary team of stakeholders, analysts, developers, UX specialists (and more)Participating in user research, research analysis and user interviewsTesting your output with varied and inclusive user groups so that you may validate your ideas and use feedback to introduce new features and/or discover methods of improvementDocumenting features, specifications and use-cases into practical guides for development teams and peers to followKnowledge sharing and collaborating on a routine basis by attending weekly design forums and workshopsPresenting to stakeholders in multi-team project demonstrationsPromoting UX standards and practices across the wider business as well as contributing to the internal UX communityWhat we're looking for in you: A varied portfolio showing the quality of your design work, UX work and any user research Must have experience as a UX Specialist Capable of understanding business/stakeholder needs as well as user needs Familiar with Agile & Lean methodology with a willingness to work in a fast paced agile environment Evidence of good communication skills across the project-team and stakeholders in order to manage and make progress, keeping the product delivery on track A solid understanding of UX practices with particular emphasis on digital surfaces and software development A solid understanding of accessibility (WCAG 2.1) and inclusive design techniques or keen willingness to learn An ability to analyse user behaviour and needs from both qualitative and quantitative methods An ability to use your own initiative to generate ideas, suggest processes and ways of working A keen eye for detail and consistency across your own work At ease using typical UX design tools, (either) Figma, Balsamiq, Draw.io and where there is an absence of tools, capable of using your own initiative in order to maintain progress Comfortable participating in collaborative workshops Good interpersonal skills What would also be advantageous? Experience using Agile tools such as Jira and Confluence Comfortable with HTML5, CSS3 and vanilla JavaScript Experience using a range of design tools, Photoshop, Illustrator, InkScape, Gimp, PowerPoint (yes, PowerPoint) A knowledge of, or experience with, JavaScript front-end web frameworks such as React.js or Angular A knowledge of, or experience with, modern style libraries such as Bootstrap or Material Design An interest in current UX communities and events Additional information for your consideration...You must be able obtain and hold UK Government clearances Opportunities exist across the UK to enhance your career progression Northrop Grumman is committed to equality and diversity in our workplace. Northrop Grumman provides equal employment opportunity to all employees and applicants without regard to an individual's protected status, including race/ethnic origin, color, nationality, national origin, ancestry, sex/gender, gender identity/expression, gender reassignment, sexual orientation, marriage/civil partnership, pregnancy/maternity, religion or belief, creed, age, disability, genetic information, or any other protected status or characteristic.
15/09/2021
Full time
Category: Information Technology Location: Cheltenham - GLS, United Kingdom Citizenship Required: United Kingdom Citizenship Clearance Type: Baseline Personnel Security Standard (BPSS) Telecommute: Yes- May Consider Occasional/Part-Time Teleworking for this position Travel Required: Yes, 25% of the Time Positions Available: 3 At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Are you a Senior UX Specialist who would like to join a leading software engineering team within an evolving and dynamic organisation?Due to the success of a number of strategic Gloucestershire based programmes, we are growing our User Experience team with creative and ambitious UX Specialists. With a primary focus on developing cutting-edge digital surfaces in a rapid iterative way, this is an opportunity for you to help shape the future of our HCI provision. What you'll be doing:Delivering cutting edge User Centred Design (UCD) focused applicationsResearching, ideating and conceptualising digital solutions within a multi-disciplinary team of stakeholders, analysts, developers, UX specialists (and more)Participating in user research, research analysis and user interviewsTesting your output with varied and inclusive user groups so that you may validate your ideas and use feedback to introduce new features and/or discover methods of improvementDocumenting features, specifications and use-cases into practical guides for development teams and peers to followKnowledge sharing and collaborating on a routine basis by attending weekly design forums and workshopsPresenting to stakeholders in multi-team project demonstrationsPromoting UX standards and practices across the wider business as well as contributing to the internal UX communityWhat we're looking for in you: A varied portfolio showing the quality of your design work, UX work and any user research Must have experience as a UX Specialist Capable of understanding business/stakeholder needs as well as user needs Familiar with Agile & Lean methodology with a willingness to work in a fast paced agile environment Evidence of good communication skills across the project-team and stakeholders in order to manage and make progress, keeping the product delivery on track A solid understanding of UX practices with particular emphasis on digital surfaces and software development A solid understanding of accessibility (WCAG 2.1) and inclusive design techniques or keen willingness to learn An ability to analyse user behaviour and needs from both qualitative and quantitative methods An ability to use your own initiative to generate ideas, suggest processes and ways of working A keen eye for detail and consistency across your own work At ease using typical UX design tools, (either) Figma, Balsamiq, Draw.io and where there is an absence of tools, capable of using your own initiative in order to maintain progress Comfortable participating in collaborative workshops Good interpersonal skills What would also be advantageous? Experience using Agile tools such as Jira and Confluence Comfortable with HTML5, CSS3 and vanilla JavaScript Experience using a range of design tools, Photoshop, Illustrator, InkScape, Gimp, PowerPoint (yes, PowerPoint) A knowledge of, or experience with, JavaScript front-end web frameworks such as React.js or Angular A knowledge of, or experience with, modern style libraries such as Bootstrap or Material Design An interest in current UX communities and events Additional information for your consideration...You must be able obtain and hold UK Government clearances Opportunities exist across the UK to enhance your career progression Northrop Grumman is committed to equality and diversity in our workplace. Northrop Grumman provides equal employment opportunity to all employees and applicants without regard to an individual's protected status, including race/ethnic origin, color, nationality, national origin, ancestry, sex/gender, gender identity/expression, gender reassignment, sexual orientation, marriage/civil partnership, pregnancy/maternity, religion or belief, creed, age, disability, genetic information, or any other protected status or characteristic.
