43 jobs found

Accelerate the possible by joining a winning Amcor team that's transforming the packaging industry and improving lives around the world. At Amcor, we unpack possibility through our innovative and responsible packaging to provide solutions that benefit our customers, our people and our planet. More than 10,000 consumers worldwide encounter our products every second and rely on us for safe access to food, medicine and other goods. We value their trust by making safety our guiding principle. It's our core value and integral to how we do business. Beyond this core principle, our shared values and behaviors unite us as we work together to elevate customers, shape lives and protect the future. We champion our customers and help them succeed. We play to win - adapting quickly in an everchanging world - and make smart choices to safeguard our business, our communities and the people we serve for generations to come. And we invest in our world class team, empowering our colleagues to unpack their potential, because we believe when our people grow, so does our business. To ensure we provide a consistent high level of service to the business. Be pro active by being onsite speaking to key stakeholders to understand their challenges and how I.T can help the business achieve its goals. This can also be achieved by using tools provided and preventing re occurring issues. The role should be at a minimum 75% travel visiting Amcor sites and 25% doing admin on tickets and / or hardware replacement / repairs. Key Job Accountabilities Work towards key business KPI's set by I.T Management Provide remote and onsite hardware and software support Record all activity in Amcor's ITSM tool Provide and update feedback to users as their calls are progressed Work as part of a geographically distributed team Liaise with 3rd parties and wider I.T team where necessary Identify and mitigate security incidents, GDPR compliance issues, application vulnerabilities, network/infrastructure and other vulnerabilities. Ensure correct documentation and procedures are followed or produced if needed Ensure all systems have a backup and are monitored for any failures Undertake training and research to maintain knowledge of current technology and systems Understand business operations and the key role IT plays within its operation Qualifications/Requirements Able to prioritise under pressure and work to deadlines Excellent decision making, judgement, planning and organisation skills Flexible, calm and approachable, 'can do' attitude Solid customer relations skills to understand customers concerns and requirements Able to lead projects and / or work as part of a project team Ability to work well within team, supporting other team members Willingness to gain relevant qualifications and accreditations Pro active approach to work Good verbal and written communications skills Willing and able to travel not only to the expected time for the role but also in emergency scenarios Full Driving License About Amcor Amcor is the global leader in developing and producing responsible consumer packaging and dispensing solutions across a variety of materials for nutrition, health, beauty and wellness categories. Our global product innovation and sustainability expertise enables us to solve packaging challenges around the world every day, producing a range of flexible packaging, rigid packaging, cartons and closures that are more sustainable, functional and appealing for our customers and their consumers. We are guided by our purpose of elevating customers, shaping lives and protecting the future. Supported by a commitment to safety, over 75,000 people generate $23 billion in annualised sales from operations that span over 400 locations in more than 40 countries. NYSE: AMCR; ASX: AMC LinkedIn YouTube

Overview Aircall is a unicorn, AI-powered customer communications platform used by 22,000+ companies worldwide. We're redefining customer communications by bringing voice, SMS, WhatsApp, and AI together into one seamless workspace. Our AI Voice Agent automates routine calls, AI Assist streamlines post-call work, and AI Assist Pro provides real-time guidance so teams can scale with confidence. Aircall is headquartered in Paris with a North American presence in Seattle and teams across Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City. We're a product-driven, execution-focused company with visible impact and rapid AI innovation across multiple product lines. At Aircall, you'll join a company in motion. We value ownership, continuous learning, and thoughtful speed. If you thrive in a collaborative, fast-moving environment where trust and impact matter, you'll feel at home here. About the Role We are looking for a Database Engineer with a platform mindset to join our Infrastructure department. In this role, you will move beyond managing tickets or manually tuning SQL queries. You will be a force multiplier and an enabler focused on reliability and scalability, codifying deep database expertise into tools, modules, and platforms that make database management and observability effortless for product engineers. You will build the "Golden Paths" that allow developers to spin up, scale, and monitor databases autonomously, ensuring safety, security, and best practices by default. The Mission: Make "The Right Way" the "Easy Way" You will abstract the complexity of our data layer. When a developer needs a database, they shouldn't need to be an expert in AWS parameter groups or replication lag-your tools should handle that complexity for them. What You'll Do Build Self-Service Tooling: Design and develop internal platform capabilities (using Terraform and automation scripts) that allow engineers to provision and manage their own data resources. Turn complex infrastructure requirements into simple, declarative interfaces for developers. Embed Knowledge into Code: Shift left your database expertise. Write automation that applies best practices for indexing, schema design, and security configurations, effectively embedding your knowledge into the platform. Democratize Observability: Create out-of-the-box observability. Build systems in which databases are preconfigured with the right dashboards, SLIs/SLOs, and alerts in Datadog, making performance visibility automatic. Automate Guardrails: Implement automated checks and policy-as-code (e.g., OPA, Terraform Sentinel) to prevent dangerous operations while enabling safe fast development. Evolve the Stack: Architect and maintain core data infrastructure codebases for AWS RDS (Postgres+MySQL), OpenSearch, ElastiCache and DynamoDB. Educate & Enable: Act as a consultant to engineering teams, promoting database literacy and helping teams leverage the platform you build. Technical Stack Cloud & IaC: AWS, Terraform (Advanced usage) Scripting/Coding: Python, Go, Bash Data Stores: RDS Postgres, RDS MySQL, DynamoDB, OpenSearch, ElastiCache Observability: Datadog Orchestration: GitLab CI, Kubernetes A Little About You You have at least 3+ years of experience in Database Engineering and Infrastructure, specializing in design, automation, and optimization of distributed data stores. Enabler: You derive satisfaction from making others more productive. Automation First: You automate manual tasks with scripts or tools. AI First Mindset: You focus on leveraging AI to drive efficiency and innovation. Communication: You can explain complex database constraints to developers and communicate effectively with stakeholders regarding incidents, changes, and projects. Why Join Us? Key moment to join Aircall in terms of growth and opportunities People matter; work-life balance is important at Aircall Fast-learning environment, entrepreneurial spirit, and strong team 45+ nationalities; cosmopolitan and multicultural mindset Competitive salary package & benefits DE&I Statement: Aircall believes in diversity, equity and inclusion as core to our journey. We promote active inclusion to foster belonging for all and are committed to equal opportunities to develop and thrive. We are dedicated to hiring a diverse and multicultural team and encourage applications from traditionally underrepresented backgrounds.

RDQ426R108 About the Role Lead a team dedicated to embedding security into Databricks' core platforms - including compute, identity, data plane, control plane, Kubernetes infrastructure, and developer frameworks. Shape company wide security architecture by driving "secure by default" platforms, opinionated frameworks, and systemic guardrails. Partner closely with engineering teams to make the secure path the easiest path. Eliminate entire classes of security risk through scalable design, not manual reviews or ticket triage. Set technical direction and empower engineers to build secure systems at massive scale. The Impact You Will Have Build secure platforms: Integrate security into infrastructure and platform systems from the ground up. Create reusable security frameworks: Develop secure reference architectures and automated guardrails that simplify adoption. Reduce systemic risks: Identify patterns of architectural weaknesses and drive durable, root cause fixes across product areas. Influence roadmaps: Work with engineering and Red Teams to validate assumptions, improve controls, and strengthen design decisions. Scale security leadership: Grow and mentor senior security engineers, ensuring engagement happens early and proactively. Drive meaningful outcomes: Within 12 months, your team will enable security frameworks to be adopted by default, eliminate recurring vulnerability classes, and permanently reduce at least one major systemic risk. What We Look For Deep technical background in distributed systems, cloud, or platform security. Proven experience securing large scale, multi tenant architectures. Strong grasp of identity, authorization, isolation, and cryptographic trust boundaries. Comfortable influencing principal engineers and product roadmaps. Demonstrated success leading technically senior engineers with high autonomy. A mindset that focuses on failure chains, not just individual vulnerabilities. Passion for building security solutions that are scalable, elegant, and frictionless for developers. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Full-stack Developer (Backend orientation) Description Hybrid role (3+ days based at our Norwich office) Artlist is a leading creative technology company on a mission to empower creators and brands to bring their vision to life with video. Offering cutting-edge AI tools and models for image, video, and voiceover creation, alongside high-quality creative assets and powerful editing tools, Artlist enables creators to stay on trend, and achieve their creative goals. Trusted by over 30 million creators worldwide and top brands including Google, Amazon, Microsoft, and Versace, Artlist provides a seamless, subscription-based platform with a global license, giving creators everything they need to produce professional video content efficiently. For more information, visit artlist.io . Artlist is looking for an exceptional senior Full-Stack Developer to join our R&D team. This is a foundational role where you will be instrumental in building the shared systems, frameworks, and tooling that power every product across the company. If you are passionate about tackling complex technical challenges, shaping internal architecture, and scaling robust engineering best practices across multiple product teams, we would love to hear from you. Key Responsibilities Build the Foundation: Design, develop, and deploy the core platform infrastructure that internal teams rely on-ranging from shared backend services, resilient APIs, and internal developer tools, to critical performance optimisations. Engineer for Scale and Reliability: Work across the modern full-stack, focusing on the backend while contributing all across the board, ensuring our systems are performant, consistent, and flexible. Drive Technical Excellence: Partner with architects, product managers, and other developers across the organisation to define technical standards, champion best practices, and guide critical decisions. Mentor and Lead: Take ownership of complex features, lead by example, and help elevate the overall quality and maintainability of code across the platform through constructive collaboration and mentorship. Deliver Real Impact: Your work will directly enhance developer velocity, boost code quality, and significantly improve the user experience for millions of creators globally. Requirements Strong professional experience in software development, with a strong focus on backend systems. Proven hands on experience with Node.js in a high volume, production environment. Proven experience designing and maintaining shared platform systems (e.g., internal APIs, microservices, developer tooling, or infrastructure as code initiatives). Strong understanding of application architecture, distributed systems, performance optimisation, and scalability principles in a cloud environment. Practical experience with cloud platforms (e.g., AWS, GCP, or Azure) for deploying, monitoring, and scaling backend services. A firm grasp of database technologies (SQL and/or NoSQL), including schema design, query optimisation, and ensuring data integrity. Demonstrated ability to lead technical projects independently, collaborate effectively across cross functional teams, and mentor junior colleagues. Familiarity with CI/CD pipelines, robust testing strategies, and a security first approach to development. A passion for delivering clean code, improving the developer experience, and empowering teams with better tooling.

The opportunity We are looking for a highly skilled machine learning research engineer with significant experience in training and implementing large scale generative models. In this role you will manage our high performance computing environment, and our model serving initiatives. You will join an interdisciplinary team of machine learners, protein engineers and biologists, jointly working to change the way that we control biology and cure diseases Who we are At Latent Labs, we are building frontier models that learn the fundamentals of biology. We pursue ambitious goals with curiosity and are committed to scientific excellence. Before building Latent Labs, our team co-developed DeepMind's Nobel-prize winning AlphaFold, invented latent diffusion, and built pioneering lab data management systems as well as high throughput protein screening platforms. At Latent Labs you will be working with some of the brightest minds in generative AI and biology. Our team is committed to interdisciplinary exchange, continuous learning and collaboration. Team offsites help us foster a culture of trust across our London and San Francisco sites. We're looking for innovators passionate about tackling complex challenges and maximizing positive global impact. Join us on our moonshot mission. Who you are Deep experience with Kubernetes and containerized workflows Experience with major cloud platforms (AWS, GCP, Azure) Knowledge of DevOps and related tools (Terraform, etc) knowledge of HPC frameworks (Slurm, Ray, etc) Production engineering & reliability experience PyTorch & distributed computing experience Your Responsibilities Deploy, maintain, and optimize production and research compute clusters Design and implement scalable and efficient ML inference solutions Develop dynamic / heterogeneous compute solutions for balancing research and production needs Contribute to productizing model APIs for external use Develop infrastructure observability and monitoring solutions Apply We offer strongly competitive compensation and benefits packages, including: Private health insurance Pension/401(K) contributions Generous leave policies (including gender neutral parental leave) Hybrid working Travel opportunities and more We also offer a stimulating work environment, and the opportunity to shape the future of synthetic biology through the application of breakthrough generative models. We welcome applicants from all backgrounds and we are committed to building a team that represents a variety of backgrounds, perspectives, and skills.

About Vercel: Vercel gives developers the tools and cloud infrastructure to build, scale, and secure a faster, more personalized web. As the team behind v0, Next.js, and AI SDK, Vercel helps customers like Ramp, Supreme, PayPal, and Under Armour build for the AI-native web. Our mission is to enable the world to ship the best products. That starts with creating a place where everyone can do their best work. Whether you're building on our platform, supporting our customers, or shaping our story: You can just ship things. About the Role Reporting to the Manager, Customer Support Engineering, you'll resolve customer concerns, create and improve internal tooling, and engineer solutions that help Vercel customers get the most out of the platform. We're seeking a deeply technical engineer with relevant support experience who can specialize in multiple core domains while partnering across teams to drive great outcomes. You're an excellent communicator who earns customer trust, understands complex systems quickly, and enjoys digging deep to find and resolve root causes. You're comfortable participating in an occasional weekend or holiday on-call rotation (scheduled in advance) as part of our global coverage model. If you're based within a pre-determined commuting distance of one of our offices (SF, NY, London, or Berlin), the role includes in-office anchor days on Monday, Tuesday, and Friday. If you're located beyond that distance, the role is fully remote. For location-specific details, please connect with our recruiting team. What You Will Do Solve interesting, technically complex cases for Vercel customers. Troubleshoot issues alongside Engineering; identify and drive fixes and mitigations. Partner with Product, Solutions, and Customer Success to provide guidance internally and externally. Develop and improve internal tools and scripts that increase team efficiency. Specialize in a given product area v0 and act as a domain owner within the team. Improve existing documentation and create new runbooks, guides, and internal processes. Assist Customer Success Managers with Enterprise requests and escalations. About You You lead by example and provide feedback to mentor other members of the team. You have hands-on experience using Vercel and v0 as a platform. You have modern development and architecture experience in the AI or web space (e.g., building LLM-powered apps, web services, or production web applications) and can explain these concepts to others. You have prior customer support experience in a technical role: troubleshooting customer cases, writing clear solutions, and proactively problem-solving. You enjoy engineering solutions to resolve root causes of recurring problems. You have strong written and verbal communication; able to explain complex systems clearly. You are comfortable working with a fully remote, globally distributed team. You have a passion for delivering a customer experience second to none. You are willing to participate in a weekend/holiday on-call rotation. Bonus If You Have frontend development experience (e.g., React/Next.js). Enjoy technical writing for public docs or developer education. Have experience automating workflows with agentic services.

Software Development Engineer page is loaded Software Development Engineerlocations: Office - London: Office - Edinburghtime type: Full timeposted on: Posted Todayjob requisition id: R11711Clearwater Analytics' mission is to become the world's most trusted and comprehensive technology platform for investment reporting, accounting, and analytics. With our team, you will partner with the most sophisticated and innovative institutional investors around the world. If you are infectiously passionate about what you do, intensely committed to clients, and driven by continuous innovation and improvement We want you to apply! This software engineering role joins one of our Alternative Assets Engineering teams - a dedicated group focused on developing solutions for fund analytics and fund research products that support our clients' alternative investment portfolios, including private funds, real estate, and infrastructure. We collaborate closely with investment professionals to create tools that streamline operations, enhance data accuracy, and provide actionable insights. This role is part of an AI-based engineering team, with product and engineering experts working side by side. Some experience in Claude or another AI-based engineering practice, as well as a willingness to work in this way, is what we are looking for in this role. Responsibilities: Developing quality software that is used by some of the world's largest technology firms, fixed income asset managers, and custodian banks Participate in Agile meetings to contribute with development strategies and product roadmap Owning critical processes that are highly available and scalable Producing tremendous feature enhancements and reacting quickly to emerging technologies Encouraging collaboration and stimulating creativity Helping mentor entry-level developers Contributing to design and architectural decisions Providing leadership and expertise to our ever-growing workforce Testing and validating in development and production code that they own, deploy, and monitor Understanding, responding to, and addressing customer issues with empathy and in a timely manner Independently can move a major feature or service through an entire lifecycle of design, development, deployment, and maintenance Deep knowledge in multiple teams' domains; broad understanding of CW systems. Creates documentation of system requirements and behavior across domains Willingly takes on unowned and undesirable work that helps team velocity and quality Is in touch with client needs and understands their usage Consulted on quality, scaling and performance requirements before development on new features begins. Understands, finds, and proposes solutions for systemic problems Leads in the technical breakdown of deliverables and capabilities into features and stories. Expert in unit testing techniques and design for testability, contributes to automated system testing requirements and design Improves code quality and architecture to ensure testability and maintainability Understands, designs, and tests for impact/performance on dependencies and adjacent components and services. Builds and maintains code in the context and awareness of the larger system Requirements: Bachelor's degree in Computer Science or related field Strong problem-solving skills 4+ years professional experience programming in Java Knowledge of financial markets is essential, experience working in a Private Markets environment is a strong plus Some experience using LLM or AI-based engineering is a strong plus Background in SDLC & Agile practices. Experience in monitoring production systems. Experience with Machine Learning Experience working with Cloud Platforms (AWS/Azure/GCP). Must be able to communicate (speak, read, comprehend, write in English). Desired Experience or Skills: Ability to build scalable backend services (Microservices, polyglot storage, messaging systems, data processing pipelines). Possess strong analytical skills, with excellent problem-solving abilities in the face of ambiguity. Excellent written and verbal skills. Ability to contribute to software design documentation, presentation, sequence diagrams and present complex technical designs in a concise manner. Professional experience in building distributed software systems, specializing in big data and NoSQL database technologies is good to have (Hadoop, Spark, DynamoDB, HBase, Hive, Cassandra, Vertica). Strong problem-solving skills. Strong organizational, interpersonal, and communication skills. Detail oriented. Motivated, team player.Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. We are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with the job description, we encourage you to still apply! You may be just what we're looking for.

Sr. Software Development Engineer page is loaded Sr. Software Development Engineerlocations: Office - London: Office - Edinburghtime type: Full timeposted on: Posted Todayjob requisition id: R11712Clearwater Analytics' mission is to become the world's most trusted and comprehensive technology platform for investment reporting, accounting, and analytics. With our team, you will partner with the most sophisticated and innovative institutional investors around the world. If you are infectiously passionate about what you do, intensely committed to clients, and driven by continuous innovation and improvement We want you to apply! This software engineering role joins one of our Alternative Assets Engineering teams - a dedicated group focused on developing solutions for fund analytics and fund research products that support our clients' alternative investment portfolios, including private funds, real estate, and infrastructure. We collaborate closely with investment professionals to create tools that streamline operations, enhance data accuracy, and provide actionable insights. This role is part of an AI-based engineering team, with product and engineering experts working side by side. Some experience in Claude or another AI-based engineering practice, as well as a willingness to work in this way, is what we are looking for in this role. Responsibilities: Developing quality software that is used by some of the world's largest technology firms, fixed income asset managers, and custodian banks Participate in Agile meetings to contribute with development strategies and product roadmap Owning critical processes that are highly available and scalable Producing tremendous feature enhancements and reacting quickly to emerging technologies Encouraging collaboration and stimulating creativity Helping mentor entry-level developers Contributing to design and architectural decisions Providing leadership and expertise to our ever-growing workforce Testing and validating in development and production code that they own, deploy, and monitor Understanding, responding to, and addressing customer issues with empathy and in a timely manner Independently can move a major feature or service through an entire lifecycle of design, development, deployment, and maintenance Deep knowledge in multiple teams' domains; broad understanding of CW systems. Creates documentation of system requirements and behavior across domains Willingly takes on unowned and undesirable work that helps team velocity and quality Is in touch with client needs and understands their usage Consulted on quality, scaling and performance requirements before development on new features begins. Understands, finds, and proposes solutions for systemic problems Leads in the technical breakdown of deliverables and capabilities into features and stories. Expert in unit testing techniques and design for testability, contributes to automated system testing requirements and design Improves code quality and architecture to ensure testability and maintainability Understands, designs, and tests for impact/performance on dependencies and adjacent components and services. Builds and maintains code in the context and awareness of the larger system Requirements: Bachelor's degree in Computer Science or related field Strong problem-solving skills 6+ years professional experience programming in Java Knowledge of financial markets is essential, experience working in a Private Markets environment is a strong plus Some experience using LLM or AI-based engineering is a strong plus Background in SDLC & Agile practices. Experience in monitoring production systems. Experience with Machine Learning Experience working with Cloud Platforms (AWS/Azure/GCP). Must be able to communicate (speak, read, comprehend, write in English). Desired Experience or Skills: Ability to build scalable backend services (Microservices, polyglot storage, messaging systems, data processing pipelines). Possess strong analytical skills, with excellent problem-solving abilities in the face of ambiguity. Excellent written and verbal skills. Ability to contribute to software design documentation, presentation, sequence diagrams and present complex technical designs in a concise manner. Professional experience in building distributed software systems, specializing in big data and NoSQL database technologies is good to have (Hadoop, Spark, DynamoDB, HBase, Hive, Cassandra, Vertica). Strong organizational, interpersonal, and communication skills. Detail oriented. Motivated, team player.Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. We are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with the job description, we encourage you to still apply! You may be just what we're looking for.

About the Role Do you want to push the boundaries of what frontier AI models can be? Join as one of the founding members of the Flower Frontier Model Team, a new group at Flower Labs charged with building category-defining models that blend the bleeding-edge in existing practices together with Flower's pioneering decentralized learning methods. This is a fundamentally different direction than the one vanilla frontier labs are taking, one that not only eases the path to GPU scaling but also unlocks new data silos currently unable to be leveraged for frontier model training. We will ship models with superhuman capabilities in domains spanning science, health, finance, drug discovery, and more. This is an opportunity to help invent and build the training paradigms that will define the next decade of AI, and to work on technologies that others will study, emulate, and build upon. About the Role (Preference given to candidates with post-training expertise. But any talented individual with a track record of exceptional drive and determination are encouraged to apply regardless of prior experience.) As a founding ML Engineer in this new team, you will play a critical role in building SOTA LLMs and foundation models within a small, high-impact team composed of contributors that have a mix of both research and engineering backgrounds. This role combines fast-paced development with disciplined software engineering: you will help build a reliable, maintainable and scalable software stack and use this to produce world-leading models that are open-sourced and integrated into new Flower Lab products. You will design, implement and optimize core components across the full spectrum of stages relevant to frontier model building: data curation, evals, pre-training, post-training - everything is in scope as the team seeks to release its first series of models. Experience in these areas is obviously welcome, but a general expectation of problem solving, learning on the job and working collaboratively to efficiently combine the talents of the team is an explicit requirement for success. Familiarity with ML distributed and scaling strategies will be essential, as will experience working with GPU clusters (or similar) for multi-node training. You will diagnose and resolve GPU/kernel issues, memory/storage bottlenecks, and multi-node failures at scale - and collaborate on the debugging of training instabilities and related issues. Ability to adapt to different HPC configurations and GPU architectures (e.g., AMD/NVIDIA) will be a big plus. You will also devise surrounding infrastructure, tooling, monitoring, and observability, all essential for large-scale LLM development. This is a foundational role for an ambitious technical effort. We are looking for a special talent that brings strong engineering discipline to the team, and has the ability to assume technical leadership as the training system scales in complexity and capability. More broadly, you can expect a collaborative, fast-paced and demanding start-up environment containing a team of experts in their respective fields, in which everyone still learns something new every day. You will have the opportunity to contribute ideas, be heard and influence the direction of the company across the board. About the Company Flower Labs is the world-class AI startup best known for being behind the most popular open-source framework in the world for training AI on distributed data and compute resources using decentralized and federated methods. Trusted by industry leaders such as Mozilla, JP Morgan, Owkin, Banking Circle and Temenos use Flower to easily improve their AI models on sensitive data that is distributed across organizational silos or user devices. In a world where most AI relies on centralized public datasets - just a fraction of the data available - we believe unlocking access to (orders of magnitude more) sensitive data will drive the next breakthroughs in artificial intelligence. Flower Labs is a Y Combinator (YCW23) graduate and backed by top-tier investors and renowned angels, including Felicis, First Spark Ventures, Mozilla Ventures, Hugging Face CEO Clem Delangue, GitHub Co-Founder Scott Chacon, Factorial Capital, Betaworks, and Pioneer Fund. Together, we are redefining how AI is built, deployed, and scaled. Must Have Skills Exceptional software engineering skills (Python, deep learning frameworks, testing, profiling, refactoring, reproducibility) Expertise with modern ML training stacks: PyTorch, JAX or equivalent; experience implementing model architectures from scratch and working within libraries like DeepSpeed, Megatron or equivalent Ability to tune, debug, and profile large-scale training runs Hands-on experience working with large GPU clusters, including job orchestration, scheduling, multi-node runs, NCCL/RDMA issues, and GPU performance optimization Ability to collaborate effectively with both research-oriented and engineering-oriented colleagues; comfortable turning research ideas into robust, maintainable implementations Good engineering hygiene: modular design, code reviews, documentation, reproducibility, versioning of data/models/configurations Familiarity with common tools (Linux command line, git, Docker, ) Openness to adopting new tooling Solid understanding of distributed systems and networking Strong written English Open, honest and transparent communication skills Optional Skills PhD or Masters degree in a relevant discipline Familiarity with various components and stages relevant to building LLMs and foundation models, such as architectures, pre-training, data curation, post-training, and evaluation. Experience with post-training methods (SFT, RLHF, DPO, reward modeling, or equivalent) - note, reference will be given to individuals with post-training experience. Ability to read, implement, and extend cutting-edge research papers quickly Prior track-record in advanced distributed training frameworks and concepts Strong grasp of optimization and training techniques: mixed precision, curriculum/data strategies, LR schedules, checkpointing or equivalent Background writing high-performance kernels (CUDA, Triton) Experience in developing components within systems used by thousands of users Track record of working in open-source projects

Join a high performing team of applied AI experts to drive innovation and new capabilities in the Commercial & Investment Bank. As an Applied AI / ML Senior Associate Machine Learning Engineer in the Applied AI ML team at JPMorgan Commercial & Investment Bank, you will be at the forefront of combining cutting-edge AI techniques with the company's unique data assets to optimize business decisions and automate processes. You will have the opportunity to advance the state-of-the-art in AI as applied to financial services, leveraging the latest research from fields of Natural Language Processing, Computer Vision, and statistical machine learning. You will be instrumental in building products that automate processes, help experts prioritize their time, and make better decisions. We have a growing portfolio of AI powered products and services and increasing opportunity for re use of foundational components through careful design of libraries and services to be leveraged across the team. This role offers a unique blend of scientific research and software engineering, requiring a deep understanding of both mindsets. Job responsibilities Build robust Data Science capabilities which can be scaled across multiple business use cases Collaborate with software engineering team to design and deploy Machine Learning services that can be integrated with strategic systems Research and analyse data sets using a variety of statistical and machine learning techniques Communicate AI capabilities and results to both technical and non-technical audiences Document approaches taken, techniques used and processes followed to comply with industry regulation Collaborate closely with cloud and SRE teams while taking a leading role in the design and delivery of the production architectures for our solutions. Act as an individual contributor, though there will be optional opportunity for management responsibility dependent on the candidate's experience. Required qualifications, capabilities, and skills Masters or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Statistics Solid understanding of fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures (transformers, CNN, autoencoders etc.) Specialism or well-researched interest in NLP Broad knowledge of MLOps tooling - for versioning, reproducibility, observability etc. Experience monitoring, maintaining, enhancing existing models over an extended time period Extensive experience with pytorch and related data science python libraries (e.g. pandas) Experience of containerising applications or models for deployment (Docker) Experience with one of the major public cloud providers (Azure, AWS, GCP) Ability to communicate technical information and ideas at all levels; convey information clearly and create trust with stakeholders. Preferred qualifications, capabilities, and skills Experience designing/ implementing pipelines using DAGs (e.g. Kubeflow, DVC, Ray) Experience of big data technologies Have constructed batch and streaming microservices exposed as REST/gRPC endpoints Experience with container orchestration tools (e.g. Kubernetes, Helm) Knowledge of open source datasets and benchmarks in NLP Hands on experience in implementing distributed/multi threaded/scalable applications Track record of developing, deploying business critical machine learning models

Why Socure? Socure is building the identity trust infrastructure for the digital economy - verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day. We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won't be your place. If you want to help build the future of identity with a team that holds a high bar for itself - keep reading. At Socure, software engineers are embedded in product-focused teams dedicated to designing and building systems that operate at scale and deliver meaningful, real-world impact. We engage directly with customers to drive satisfaction and foster continuous improvement across our product suite. As a Senior Backend Engineer, you will lead the design and implementation of distributed systems, take ownership of critical non-functional requirements-including scalability, security, and reliability-and mentor fellow engineers while remaining hands on in development. Your expertise will play a pivotal role throughout the entire software development lifecycle: from architecture and implementation to testing, documentation, and production support. This position is perfect for backend engineers who are passionate about building robust systems with Golang, thrive in a product-driven environment, and want to shape technology at scale. What you'll do: Architect, develop, test, and debug scalable backend services within distributed systems. Own and deliver key non-functional requirements, including scalability, availability, performance, and security. Author and maintain comprehensive tests (unit, integration, functional) to ensure exceptional coverage and reliability. Produce and contribute to technical documentation for internal knowledge sharing and external collaboration. Decompose complex projects into clear, actionable tasks and drive them through to completion. Mentor and support engineers through code reviews, technical guidance, and sharing of best practices. Collaborate cross functionally with product managers, designers, and engineers to deliver impactful features. Continuously enhance engineering processes, tools, and practices within an agile environment. What you bring: 5-8 years of professional software engineering experience, with substantial expertise coding in Golang (ideally in product based companies). Strong programming fundamentals, problem solving ability, and system design skills. Deep understanding of concurrency, multi threading, and distributed computing concepts. Experience building microservices architectures and developing RESTful APIs. Excellent analytical and reasoning skills, particularly in visualizing and simplifying complex systems. Experience with high throughput, low latency systems is highly desirable. Familiarity with cloud platforms (AWS/GCP), NoSQL databases, big data analytics, or machine learning services is a plus. Growth mindset with a genuine desire to learn, grow, and contribute to building best in class backend systems. Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need an accommodation during any stage of the application or hiring process-including interview or onboarding support-please reach out to your Socure recruiting partner directly.

A leading technology company in Greater London seeks a Senior Backend Engineer to lead the design and implementation of scalable backend systems using Golang. This role involves mentoring engineers, managing non-functional requirements, and fostering continuous improvement. Ideal candidates will have 5-8 years of experience and a strong grasp of concurrency and microservices architecture. Join a diverse, innovative team dedicated to building identity trust infrastructure in the digital economy.

Senior Software Engineer - Research Management Systems (Analytics & Reporting) Location London Business Area Engineering and CTO Ref # Description & Requirements Research Management Systems (RMS) provides structure, control, efficiency and transparency to the investment research process of institutional investors. Every client has their own approach to identifying investible opportunities, it forms a key part of their strategy for beating the market. RMS seeks to provide custom solutions that align to the unique needs of every client, in a scalable way. We are a recently formed engineering group and a rapidly growing part of the business. RMS has multiple teams, in multiple locations, each with a clear mission. The mission of the Analytics & Reporting team is to give research leaders visibility into the internal operations of their team to empower evidence driven decisions about the process, the tools and the team. This transparency is important in becoming more effective, in sustaining their effectiveness and in demonstrating their effectiveness to prospective partners. About the Role We're seeking a Senior Full Stack Software Engineer with experience in scalable, distributed system design and ideally, some familiarity with our core languages (Python, C++ & JavaScript). Experience of business intelligence or operational analytics would be helpful as our mission requires us to build a new analytics platform providing this. You will influence key technical decisions for us and thereby build a system that will influence key decisions and processes for our clients. We'll trust you to: Design and build core components of our analytics platform as part of a team. Lead projects and technical decision making. Ensure the team adopts best engineering practices across the entire SDLC. Collaborate with a broad set of stakeholders including your immediate team, the broader RMS group, other parts of the engineering community, sales, implementations, support, product managers and user experience experts. Support and mentor less experienced colleagues as appropriate. Embrace an inclusive approach to communication and collaboration. You'll need to have: Proven experience in software engineering, with a strong background in designing and building distributed systems or data platforms. Proficiency in an object oriented language with a demonstrable ability to write production quality code. Experience with OLTP and OLAP technologies and a demonstrable familiarity with query languages. Excellent communication skills and ability to collaborate across interdisciplinary teams in a variety of locations. We'd love to see: Proficiency in Python, C++ and JavaScript Experience with, or an interest in, data visualisation and communicating insights as clearly and impactfully as possible. Familiarity with industry standard and open source analytics tools such as PowerBI, Tableau, Trino. Experience with semantic data modelling. Familiarity with container technologies (Docker, Kubernetes). Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success. Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law. Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email

Newcastle upon Tyne, United Kingdom Posted on 04/02/2026 Our product-configuration and content-production platform establishes competitive advantages for automotive OEMs around the world, using the cloud to make real-time rendering accessible and affordable for any user in any market. Featuring innovative experiences and stunning graphics, it enhances every stage of the vehicle-shopping journey by increasing engagement, delivering personalization, and driving sales. Formed in Newcastle in 2014, we have expanded to become a truly international company, trusted to deliver major global projects with brands including VW, Audi, BRP, BMW, Nissan, and Mitsubishi Job Description Senior Back End Developer Location: Newcastle upon Tyne / Hybrid Working Type: Full Time Note: We are seeking candidates based in the North East and are unable to offer visa sponsorship for this role. The Role We are looking for a high calibre Senior Back End Developer who thrives on technical ownership and architectural challenges. This role requires a unique blend of product and project thinking. You will be equally comfortable architecting systems for our core platform as you are pivoting to deliver bespoke technical solutions for our global automotive partners. The Person You have previously held sole or primary responsibility for the technical delivery of at least one large and complex project. You don't just fix bugs; you identify root causes and design elegant, long-term solutions for complex data and rendering pipelines. You enjoy the variety of moving between long-term product roadmaps and high-velocity client-facing work. Key Responsibilities Lead the delivery of major back-end workstreams, ensuring code quality, security, and performance. Design and maintain high availability and self-healing, fault-tolerant systems to support global launches. While back-end focused, you will utilise your fullstack web development skills to ensure seamless integration and occasionally lead end-to-end feature development. Build and optimise distributed systems capable of handling massive concurrent users across different global regions. Requirements Technical Experience Python: Deep expertise in building scalable services. Node.js: Proficiency in asynchronous programming and API development. MongoDB: Strong experience in No SQL schema design and performance tuning. Linux: Comfort working within and optimizing Linux based environments. Kubernetes & Docker: Expert level containerization and orchestration for cloud native applications. 5-10 years of professional experience in software engineering. A solid understanding of distributed systems and the challenges of data consistency and latency. Proven experience in building systems that can automatically recover from failure. Experience working with AWS or similar cloud providers. Excellent communication skills, with the ability to explain complex technical decisions to non technical stakeholders or clients. What to Expect At ZeroLight, we value innovation and creativity, shaping our lifestyle and professional benefits around a supportive, collaborative, and rewarding environment. Reward & Contribution Annual salary review process Contributory Pension Scheme Life Assurance program Provision of all the tools you need to perform your best work Fully stocked kitchen with free drinks, crisps, fruit, yoghurts, biscuits, chocolate bars, porridge and granola. Development & Progression A comprehensive onboarding process to ensure you hit the ground running Quarterly Collaboration Weeks where teams gather to share knowledge and best practices One to one coaching sessions with qualified coaches Company wide personal development sessions on topics such as psychological safety and overcoming imposter syndrome Mentorship from a team of seasoned professionals across different disciplines Travel & conference opportunities Time Generous holiday allowance: 25 days holiday, which rises to 30 days based on length of service Additional free holidays over the Christmas period when the studio closes. All standard bank holidays Flexible working hours with start and finish times between 8am - 10am / 4pm - 6pm Employee Assistance Program (EAP) access for mental health and wellbeing support including access to therapy sessions Free fruit and healthy snacks, running and sports clubs, Cycle to Work Scheme, and showers in the studio Quarterly social gatherings, including our famous Christmas Party Enjoy a creative, inclusive, and collaborative culture

ABOUT THE COMPANY Infleqtion is a global quantum technology company solving the world's most challenging problems. The company harnesses quantum mechanics to build and integrate quantum computers, sensors, and networks. From fundamental physics to leading edge commercial products, Infleqtion enables "quantum everywhere" through our ecosystem of devices and platforms. Our mission is to commercialise atom-based quantum products that provide orders of magnitude improvements in performance and computing applications. LOCATION Infleqtion has offices in the USA, United Kingdom and Australia. This is a full time position in our Kidlington and Harwell offices. Our flexible working policy enables all full time employees to work up to 2 days a week from home as work permits. POSITION SUMMARY Infleqtion is seeking a Research Software Engineer to develop and maintain software across the full quantum control stack, enabling high performance operation of both quantum computers and quantum sensors. This role spans low level hardware integration, real time control systems, waveform generation, calibration automation, experiment orchestration, and scalable data pipelines. You will work at the boundary between physics and production software, partnering with physicists and hardware engineers to translate experimental requirements into robust, deterministic, and extensible control infrastructure. The ideal candidate brings programming expertise, familiarity with hardware adjacent or real time systems, and a strong foundation in scientific or high performance computing, with a passion for building the core software that drives next generation quantum technologies. JOB RESPONSIBILITIES The duties and responsibilities outlined below include essential functions of the role. Depending on business needs, this role may perform a combination of some or all of the following duties. Duties, responsibilities, and activities may change, or new ones may be assigned at any time. Design, develop, and deploy reliable, maintainable, scalable, and fault tolerant backend services and frameworks that control and calibrate our quantum hardware. Collaborate with interdisciplinary teams, including scientists, opto mechanical engineers, and electrical engineers, to solve complex problems and deliver high quality software solutions. Participate in code and design reviews, upholding engineering best practices and promoting a culture of quality and collaboration. Support and debug all layers of the control stack from real time embedded kernels to distributed and cloud based services. Advocate for and implement innovative software development methodologies and tools to improve team efficiency and product quality. Bachelor's degree in Engineering, Applied Mathematics, Physics or related field Master's degree in Engineering, Applied Mathematics, Physics or related field or 2 years of work experience in a scientific domain Experience with modern Python development. Experience in other languages, such as Rust or C++ would be advantageous but not essential. Good verbal and written communication skills, able to effectively share information with technical and non technical staff Good collaboration skills, able to work in a team environment where engagement and participation are an expected part of successful job performance Desire to constantly improve and learn inside and outside of expertise Desirable Skills or Knowledge Domain specific experience in statistics, machine learning, or AMO physics Experience with Linux and virtualization technologies like Docker or Kubernetes Experience with Numpy, Scipy, and Pytorch Experience with image analysis, emphasis on real time object detection Experience with databases (relational and non relational) including but not limited to timeseries data, SQL, and ETL processes Experience creating and maintaining CI/CD pipelines, and Python package creation with C or Rust extensions Experience developing basic GUIs and/or web front end applications EQUAL OPPORTUNITY Regardless of your interest in the quantum industry, you can take pride in the fact that Infleqtion is building an ecosystem of quantum technologies and commercial products, driving the industry towards the future. Studies reveal that while men apply for jobs when they meet an average of 60% of the requirements, women and other groups tend to apply only when they meet all the criteria. If you believe you have the potential but don't meet every single point in our job advertisement, please don't hesitate to contact us! We would love to chat with you and see how you could bring great value to our team. Our goal is to find exceptional individuals who can enrich our team culture, actively contribute, and have a genuine passion for their work. Here you have freedom to embrace your whole self: who you love, your gender identity and expression, skin colour, age, appearance, disability, neurodiversity, DNA, military/veteran status, citizenship, and other factors that make up who you are. Your uniqueness is valued, welcomed, and appreciated here. We are dedicated to providing a positive workplace and base all employment decisions on your qualifications, performance, merits, as well as business needs. We are proud to be an Equal Employment Opportunity Employer. In addition to your base compensation, we offer a generous Total Rewards program which includes: Competitive salary Incentive Stock Option Plan Generous company 10% pension contribution regardless of employee contribution Unlimited PTO BUPA healthcare after probation period Cycle to work and Technology scheme

ABOUT THE COMPANY Infleqtion is a global quantum technology company solving the world's most challenging problems. The company harnesses quantum mechanics to build and integrate quantum computers, sensors, and networks. From fundamental physics to leading edge commercial products, Infleqtion enables "quantum everywhere" through our ecosystem of devices and platforms. Our mission is to commercialise atom-based quantum products that provide orders of magnitude improvements in performance and computing applications. LOCATION Infleqtion has offices in the USA, United Kingdom and Australia. This is a full-time position in our Kidlington and Harwell offices. Our flexible working policy enables all full-time employees to work up to 2 days a week from home as work permits. POSITION SUMMARY Infleqtion is seeking a Senior Research Software Engineer to architect and develop software across the full quantum control stack, enabling high-performance operation of both quantum computers and quantum sensors. This role spans low-level hardware integration, real-time control systems, waveform generation, calibration automation, experiment orchestration, and scalable data pipelines. You will work at the boundary between physics and production software, partnering with physicists and hardware engineers to translate experimental requirements into robust, deterministic, and extensible control infrastructure. The ideal candidate brings deep systems programming expertise, experience with hardware-adjacent or real-time systems, and a strong foundation in scientific or high-performance computing, with a passion for building the core software that drives next-generation quantum technologies. JOB RESPONSIBILITIES The duties and responsibilities outlined below include essential functions of the role. Depending on business needs, this role may perform a combination of some or all of the following duties. Duties, responsibilities, and activities may change, or new ones may be assigned at any time. Design, develop, and deploy reliable, maintainable, scalable, and fault-tolerant backend services and frameworks that control and calibrate our quantum hardware. Collaborate with interdisciplinary teams, including scientists, opto-mechanical engineers, and electrical engineers, to solve complex problems and deliver high-quality software solutions. Empower interdisciplinary teams to create the tools they need by teaching engineering and programming best practices. Mentor and guide junior engineers, fostering their growth and enhancing the team's technical expertise. Lead code and design reviews, upholding engineering best practices and promoting a culture of quality and collaboration. Support and debug all layers of the control stack from real-time embedded kernels to distributed and cloud-based services. Advocate for and implement innovative software development methodologies and tools to improve team efficiency and product quality. Bachelor's degree in Engineering, Applied Mathematics, Physics or related field and a minimum of 5 years prior work experience in a scientific domain. Experience with Python and at least one compiled language, with a desire to learn and work in Rust. Experience with Linux and virtualization technologies like Docker. Good verbal and written communication skills, able to effectively share information with technical and non-technical staff. Good collaboration skills, able to work in a team environment where engagement and participation are an expected part of successful job performance. Skilled in typical software engineering disciplines: testing, debugging, version control, error-handling, readability, documentation, general code health, etc. Desire to constantly improve and learn inside and outside of expertise Desirable Skills or Knowledge Domain-specific experience in statistics, machine learning, or AMO physics. Experience with Numpy, Scipy, and Pytorch. Experience with image analysis, emphasis on realtime object detection. Experience with databases (relational and non-relational) including but not limited to timeseries data, SQL, and ETL processes. Experience creating and maintaining CI/CD pipelines, and Python package creation with C or Rust extensions. Experince developing basic GUIs and/or web front-end applications. EQUAL OPPORTUNITY Regardless of your interest in the quantum industry, you can take pride in the fact that Infleqtion is building an ecosystem of quantum technologies and commercial products, driving the industry towards the future. Studies reveal that while men apply for jobs when they meet an average of 60% of the requirements, women and other groups tend to apply only when they meet all the criteria. If you believe you have the potential but don't meet every single point in our job advertisement, please don't hesitate to contact us! We would love to chat with you and see how you could bring great value to our team. Our goal is to find exceptional individuals who can enrich our team culture, actively contribute, and have a genuine passion for their work. Here you have freedom to embrace your whole self: who you love, your gender identity and expression, skin colour, age, appearance, disability, neurodiversity, DNA, military/veteran status, citizenship, and other factors that make up who you are. Your uniqueness is valued, welcomed, and appreciated here. We are dedicated to providing a positive workplace and base all employment decisions on your qualifications, performance, merits, as well as business needs. We are proud to be an Equal Employment Opportunity Employer. In addition to your base compensation, we offer a generous Total Rewards program which includes: Competitive salary Incentive Stock Option Plan Generous company 10% pension contribution regardless of employee contribution Unlimited PTO BUPA healthcare after probation period Cycle to work and Technology scheme

Title: Principle Engineer Location: Primarily remote in Scotland, with some travel to Edinburgh. Reports to: VP of Engineering It's rare for companies to break out of the start up stage, rarer still to become profitable and keep growing. At Hyble, we've done both, and we're not slowing down. We started as 12 people in a tech incubator, taking on a problem the entire beverage industry had quietly accepted as normal: why did it take weeks for a sales rep to get their customer the marketing support they needed to start selling? We built the answer. Hyble is now the only end to end point of sale ecosystem built for the global beverage industry. Active in 50+ markets, helping the world's leading drinks brands create, approve, print, and deliver fully compliant POS materials in hours, not weeks. From 10 venues to 10,000, we give brands complete control at every touchpoint. High Growth Scale Up We've delivered consistent revenue growth for eight consecutive years. Over the last three years alone, the business has grown 213% and reached profitability. That's a milestone that reflects years of deliberate, disciplined investment decisions that have paid off. In 2023, we won a landmark contract with Southern Glazer's Wine & Spirits, a $25 billion business and the largest wine and spirits distributor in the US. Today we're a 135+ person, award winning MarTech company operating across three continents - with 70% of our revenue generated in the US and a sales pipeline exceeding $70 million. The AI Opportunity The next chapter is AI first, and it's happening now. We're not retrofitting AI onto an existing product. We're rebuilding around it - embedding AI at the core of how our platform thinks, personalises, and performs. The opportunity is significant: a traditional, relationship driven industry that is ripe for disruption, and a product already trusted by the brands that matter most. For senior hires, that means something specific: you arrive at the point where architecture decisions stick, where what you build becomes the standard, and where the market is still open enough for genuinely bold thinking to win. What you'll find here: Ownership without bureaucracy. You'll move at the pace of someone who has real authority, because you will. You won't inherit a fully packaged function. You'll shape how it operates across a growing international scale up. Problems worth solving. The intersection of AI, distribution networks, and global beverage brands is not a solved space. You'll be figuring things out, not inheriting playbooks. Impact you can see. We're small enough that your decisions shape the product, the team, and the trajectory of the business and large enough that the scale of that impact is real. We're hiring a Principal Engineer who is just as energised by making the person next to them better as they are by writing great code. The most valuable contribution you'll make won't come from producing architecture in isolation. It will come from working alongside engineers, helping them think through hard problems, and walking away having made both the solution and the person stronger. We want someone who leads from within, not from above. Our engineering team has real talent and real potential. What it needs is someone who raises the ceiling, not just the floor. Someone who brings technical depth the team can genuinely learn from, working in partnership with the VP of Engineering to build a culture of strong technical thinking, commercial awareness, and continuous improvement. You will be hands on. You will write code. You will also own outcomes. Your biggest impact will come from the engineers around you getting better because of how you work, and from the platform getting meaningfully closer to where it needs to be. You will: Pair with engineers on complex technical challenges, solving problems together rather than solving them for them Take a leading role in Hyble's AI transformation, helping the engineering organisation understand, adopt, and build with AI tools and integrations across the stack Lead Architecture Guild sessions, setting the technical direction of the platform and holding the team accountable to it Identify gaps in technical knowledge across the team and address them through mentoring, code review, and hands on collaboration Drive improvements to code quality, architecture patterns, and engineering practices across the teams Own the transition of Hyble's platform from a monolithic architecture toward an AI ready, scalable foundation Lead AI integration work, including LLM pipelines, data architecture improvements, and intelligent feature development Be a trusted technical voice in conversations about build vs buy, platform strategy, and tooling decisions Help engineers develop commercial and product led thinking, not just technical execution Contribute to hiring and technical assessment as the engineering organisation grows Key Challenges We want to give you an honest picture of what you're walking into. Raising the technical ceiling. The engineering team has capable people who are ready to grow. The challenge is building the habits, practices, and culture that take them from good to genuinely strong. That doesn't happen by telling people what to do. It happens by working alongside them consistently. Leading the AI transition. AI first is the direction. Getting a team of engineers to genuinely adopt AI in their day to day work, not as a gimmick but as a real productivity and quality multiplier, requires someone who can demonstrate it, not just advocate for it. Evolving a live platform. Hyble's platform serves enterprise clients who depend on it. Improving the architecture, increasing test coverage, and moving toward a more scalable foundation all need to happen without breaking what's already working. Building trust fast. The team has been through a period of change. The Principal Engineer will need to earn credibility through consistency, technical depth, and genuine investment in the people around them. What Good Looks Like at 6 Months We want you to be able to measure your own success. Here is what we'd expect to see: Engineers across the teams are visibly improving their technical judgment, not just their output AI tools and practices are embedded into the engineering workflow, with adoption measurable and growing The Architecture Guild is running consistently, with clear decisions documented and followed through At least one meaningful improvement to the platform architecture is in production or clearly underway You are trusted by the engineering team and working as a genuine partner to the VP of Engineering The Truth About Working Here It's messy and fast. We're scaling quickly, priorities shift, and nothing stays still for long. We fail, we learn and we iterate. If you need perfect architecture or stable requirements, this won't be for you. It's demanding. The team will look to you. The bar is high. You'll be trusted with real influence and real accountability early, and you'll see the impact of your work immediately. It's team first. No egos, no silos, no coasting. We push each other, support each other, and expect everyone to pull their weight. We help each other win. What You Need to Bring Deep technical engineering experience. You have strong command of backend systems, distributed architecture, and modern engineering practices. You've built and maintained production systems at scale and can engage with hard problems from first principles. A coaching instinct. You genuinely enjoy making other engineers better. You have experience mentoring junior and mid level engineers and you do it through questioning, pairing, and guiding rather than just telling them the answer. Hands on delivery. You write code regularly and take pride in it. You don't just review and advise. You roll up your sleeves and build alongside the team. AI fluency. You have practical experience building with LLMs, AI integrations, or AI powered features. You understand how AI changes what good architecture looks like and you can bring a team along on that journey. Ownership mindset. You don't just influence. You take accountability for outcomes. If the architecture isn't improving, that's on you. If the team isn't growing, that's on you too. Commercial awareness. You understand that engineering decisions have business consequences. You can think about trade offs in terms of customer impact and commercial value, not just technical elegance. Strong communication. You can explain complex technical ideas clearly to engineers at all levels. You contribute to architecture conversations in a way that opens up thinking rather than closing it down. Bonus Points Experience with .NET Core, React, or Azure cloud infrastructure Background in B2B SaaS, MarTech, or enterprise software Experience with vector databases, RAG pipelines, or semantic search Track record of running or contributing to architecture review processes Experience in a scale up environment where you've had to build and improve practices, not just inherit them What We Are Not Looking For The ivory tower architect click apply for full job details

Our Mission At Omnea, we're reinventing how enterprise businesses operate, starting with the most painful parts: procurement - where a single purchase can drag on for months, trigger 50+ emails, and pull in Finance, Legal, Security, and IT just to get something approved. We've raised $75M from Khosla Ventures, Insight Partners, and Accel to change that. Our AI-native platform connects every person, step, and system so buying is fast, safe, and efficient - one place to request, automated approvals and renewals, real time supplier risk, and complete spend visibility. It's a $7B+ untapped market, and our traction reflects the scale of the opportunity: we've 10x'd ARR to double digit millions in 18 months and are trusted by global enterprises like Spotify, MongoDB, Monzo, and Albertsons. We're now the 4th fastest growing startup in Europe. Our team previously scaled Tessian (cybersecurity tech, backed by Sequoia, Balderton, Accel, acquired post Series C), and our team includes ex founders operators who've grown unicorns, shipped world class products, and executed at the highest levels. You'll work alongside leaders like Ben, Abs, Sabrina, and Rebe. Find out more about the team and life at Omnea here. What we're looking for We're looking for an ambitious and talented Engineering Manager to join Omnea, the UK's Startup in 2026, as part of our Engineering leadership team. As we grow from tens to hundreds of enterprise customers and through 10x revenue growth in the next 2 3 years, you'll play a crucial role in building and leading the best Engineering function in its category. You'll be responsible for multiple teams, ensuring we ship high quality solutions while maintaining the velocity a fast growing environment demands. You'll operate with high autonomy, collaborating closely with other EMs, Team Leads, and Product to drive real impact. What you'll do Build and lead high performing teams: Lead multiple engineering teams, fostering a culture of technical excellence and continuous improvement Drive engineering best practices, quality standards, and high performance Mentor and develop engineers, helping them grow their careers and impact Collaborate with Product, Design, Team Leads and other key stakeholders on team structures and deliveries to ensure optimal outcomes Drive technical excellence: Implement and refine engineering processes that scale Facilitate architectural decisions that impact multiple teams Champion quality improvements across teams while maintaining high velocity Ensure robust monitoring, observability, and incident response processes Shape technical product strategy: Partner with Product leadership to define and execute our technical roadmap Balance technical debt, feature development, and system reliability with other deliverables Ensure customer feedback drives technical priorities Teams and products you might end up working on: Accounting and Goods Receipting - ensuring procurement and finance teams have the right information and tools to operate accurately, automatically, and at scale Insights and Reporting - deep, complex custom visualisations bringing together AI and data to surface meaningful insights and context across the platform Sourcing - building the tools that find the right suppliers, shape the right deals, and make sure the best option is already in play before a request is even created Workflow Orchestration - the configurable backbone of our systems that accurately model company operations, underpinning a single source of truth And many more areas we're actively starting or expanding upon! About You Leadership Experience: You have 8+ years of software engineering experience, with 3+ years managing engineering teams You've successfully managed multiple teams simultaneously (typically 2 3 teams / engineers) You've demonstrated success in fast moving, ambiguous environments, particularly in rapid growth periods Ideally, you have experience as an Engineering Manager at multiple companies, including at least one successful Series A+ SaaS company Technical Excellence: Strong technical background with hands on experience in modern web technologies Deep understanding of distributed systems, cloud architecture (preferably AWS), and scalability challenges Experience with our stack (TypeScript, React, AWS Serverless) is a plus, but not required Track Record of Impact: Strong track record of successful project delivery in fast paced environments Proven history of improving team velocity and quality Experience scaling engineering teams through rapid growth Experience implementing engineering processes that scale effectively at pace Experience working directly with customers and translating their needs into technical solutions Leadership Style: You're data driven but know when to trust intuition You're comfortable making decisions with incomplete information You excel at collaboration and influence across teams and stakeholders You have a track record of growing and developing engineering talent Nice to haves that really stand out to us: Track record of successful product launches in B2B SaaS Experience with procurement / finance systems History of contributions to engineering communities You can learn more about Engineering at Omnea and our hiring process via our R&D Candidate Hub here. At Omnea, we embrace diversity. To build a product that's loved by everyone, we're best served by a team with all sorts of backgrounds, experiences, and perspectives. We encourage you to apply even if your experience doesn't quite match the full job spec! And regardless of your race, religion, colour, gender, or anything else! If you think you could be a good fit for Omnea, please reach out. A few things to note: We work Tuesdays, Wednesdays & Thursdays in person at our offices. At this early stage of our company life cycle it's important to us that we get this together time, and you can read more about why we believe this is a winning move here We're commercial, ambitious and we don't pretend otherwise! We're actively seeking folks looking to make the most of a career defining opportunity, with the hunger to be part of building something really impressive. You can see our values here We sometimes use AI note takers to help us transcribe interview notes, so we can be more present in your interview. If you'd like to opt out of us using automatic transcribers, please note this in the free text field in your application, otherwise we'll take your application as confirmation that you're happy for us to use notetakers (whether added to video calls or in the background). We are proud to be recognised for both our culture and product, and we are just getting started. Join us as we grow! Legal note: if you are viewing this posting outside of the Omnea careers' page, this may be an auto generated advertisement and may lack the full range of advertised information - please click through to the posting at to view additional advertised information on this posting. Additionally, where roles have hard specified requirements (e.g. x days in office, unable to provide visas, etc), if in your application you provide deterministic check box confirmation that you do not meet the hard specified requirements, deterministic (not AI or subjective) automatic rejection criteria are in place.