15 jobs found

London, United Kingdom; United Kingdom (Remote) At Hudl, we build great teams. We hire the best of the best to ensure you're working with people you can constantly learn from. You're trusted to get your work done your way while testing the limits of what's possible and what's next. We work hard to provide a culture where everyone feels supported, and our employees feel it- their votes helped us become one of Newsweek's Top 100 Global Most Loved Workplaces. We think of ourselves as the team behind the team, supporting the lifelong impact sports can have: the lessons in teamwork and dedication, the influence of inspiring coaches, and the opportunities to reach new heights. That's why we help teams from all over the world see their game differently. Our products make it easier for coaches and athletes at any level to capture video, analyze data, share highlights and more. Ready to join us? Your Role We're hiring a Senior MLOps Engineer to join our Hardware Group, where you'll build and scale the machine learning infrastructure that powers our smart cameras, Focus. You'll own the edge deployment pipelines that transport neural networks from training clusters to tens of thousands of devices globally and will act as the bridge between our Applied Machine Learning team in London and our Software squads in the Netherlands and the U.S., building the "nervous system" for the next generation of automated sports capture. As a Senior MLOps Engineer, you'll: Build scalable Edge infrastructure. You'll design, develop, and maintain the delivery systems that enable us to deploy models to fleets of devices. You will lead the re-architecture to a dynamic, granular update system allowing faster learning. Work with cross-functional teams. You'll collaborate with Data Scientists, Embedded Engineers and Product Managers to ensure smooth integration of complex features and capabilities, translating research requirements into deployable hardware realities. Drive automation and reliability. You'll implement infrastructure to silently test candidate models on production devices, and build telemetry pipelines to monitor drift, thermal impact, and inference latency in the wild. Solve complex physical challenges. You'll tackle the unique constraints of the edge-building resilient update mechanisms for low-bandwidth environments, optimising for limited storage, and ensuring devices recover gracefully from network failures. Mentor and lead. You'll share your MLOps expertise to establish best practices in Python tooling, Infrastructure-as-Code, and CI/CD, guiding the team toward a more robust, automated future. We'd like to hire someone for this role who lives near our offices in London or Barcelona, but we're also open to remote candidates in the UK and Spain. Must-Haves Experienced in production MLOps. You've played a key role in building and operating pipelines that deploy models to production-specifically dealing with the "physical world" (IoT, Edge, Robotics) rather than just cloud APIs. Technical expertise. You write clean, maintainable infrastructure code and have deep experience with CI/CD pipelines, containerization (Docker), and Linux systems. Collaborative. You understand that shipping to hardware is a team sport and can communicate effectively with researchers and low-level embedded engineers to translate constraints into solutions. Systems Thinking. You can design architectures that handle failure gracefully and understand the implications of deploying to 10,000 heterogeneous devices, including how to manage risk via canary releases and safe rollbacks. Bias towards action: You see your role as solving problems; this means filling gaps and taking initiative as needed to help the team win together. Nice-to-Haves Edge AI Stack. Experience with the NVIDIA edge ecosystem (Jetson Nano/NX/Orin, DeepStream SDK, TensorRT) is a huge plus. Video Technologies. Familiarity with video pipelines, GStreamer, or ffmpeg. Fleet Management. Experience with tools like AWS IoT Greengrass, Balena, or custom OTA / fleet management solutions. Sports Passion. You have an interest in sports technology, video analytics, or performance metrics-but if not, we'll teach you the domain. Our Role Champion work-life harmony. We'll give you the flexibility you need in your work life (e.g., flexible vacation time above any required statutory leave, company-wide holidays and timeout (meeting-free) days, remote work options and more) so you can enjoy your personal life too. Guarantee autonomy. We have an open, honest culture and we trust our people from day one. Your team will support you, but you'll own your work and have the agency to try new ideas. Encourage career growth. We're lifelong learners who encourage professional development. We'll give you tons of resources and opportunities to keep growing. Provide an environment to help you succeed. We've invested in our offices, designing incredible spaces with our employees in mind. But whether you're at the office or working remotely, we'll provide you the tech you need to do your best work. Support your wellbeing. Depending on location, we offer medical and retirement benefits for employees-but no matter where you're located, we have resources like our Employee Assistance Program and employee resource groups to support your mental health. The base salary range for this role is displayed below-starting salaries will typically fall near the middle of this range. We make compensation decisions based on an individual's experience, skills and education in line with our internal pay equity practices. This role will also be eligible for a long-term incentive (LTI) award. Any bonuses awarded are based on individual and company performance paid at Hudl's discretion. Inclusion at Hudl Hudl is an equal opportunity employer. Through our actions, behaviors and attitude, we'll create an environment where everyone, no matter their differences, feels like they belong. We offer resources to ensure our employees feel safe bringing their authentic selves to work, including employee resource groups and communities. But we recognize there's ongoing work to be done, which is why we track our efforts and commitments in annual inclusion reports. We also know imposter syndrome is real and the confidence gap can get in the way of meeting spectacular candidates. Please don't hesitate to apply-we'd love to hear from you. Interested in building your career at Hudl? Get future opportunities sent straight to your email.

London, United Kingdom; United Kingdom (Remote) At Hudl, we build great teams. We hire the best of the best to ensure you're working with people you can constantly learn from. You're trusted to get your work done your way while testing the limits of what's possible and what's next. We work hard to provide a culture where everyone feels supported, and our employees feel it-their votes helped us become one of Newsweek's Top 100 Global Most Loved Workplaces . We think of ourselves as the team behind the team, supporting the lifelong impact sports can have: the lessons in teamwork and dedication; the influence of inspiring coaches; and the opportunities to reach new heights. That's why we help teams from all over the world see their game differently. Our products make it easier for coaches and athletes at any level to capture video, analyze data, share highlights and more. Ready to join us? Playing in picture-in-picture Playing in picture-in-picture (opens a new window) 00:00 01:07 Quality Auto Speed Normal CC/subtitles Off Your Role We're hiring a Senior MLOps Engineer to join our Hardware Group, where you'll build and scale the machine learning infrastructure that powers our smart cameras, Focus . You'll own the edge deployment pipelines that transport neural networks from training clusters to tens of thousands of devices globally and will act as the bridge between our Applied Machine Learning team in London and our Software squads in the Netherlands and the U.S., building the "nervous system" for the next generation of automated sports capture. As a Senior MLOps Engineer, you'll: Build scalable Edge infrastructure. You'll design, develop, and maintain the delivery systems that enable us to deploy models to fleets of devices. You will lead the re-architecture to a dynamic, granular update system allowing faster learning. Work with cross-functional teams. You'll collaborate with Data Scientists, Embedded Engineers and Product Managers to ensure smooth integration of complex features and capabilities, translating research requirements into deployable hardware realities. Drive automation and reliability. You'll implement infrastructure to silently test candidate models on production devices, and build telemetry pipelines to monitor drift, thermal impact, and inference latency in the wild. Solve complex physical challenges. You'll tackle the unique constraints of the edge-building resilient update mechanisms for low-bandwidth environments, optimising for limited storage, and ensuring devices recover gracefully from network failures. Mentor and lead. You'll share your MLOps expertise to establish best practices in Python tooling, Infrastructure-as-Code, and CI/CD, guiding the team toward a more robust, automated future. We'd like to hire someone for this role who lives near our offices in London or Barcelona, but we're also open to remote candidates in the UK and Spain. Must-Haves Experienced in production MLOps. You've played a key role in building and operating pipelines that deploy models to production-specifically dealing with the "physical world" (IoT, Edge, Robotics) rather than just cloud APIs. Technical expertise. You write clean, maintainable infrastructure code and have deep experience with CI/CD pipelines, containerization (Docker), and Linux systems. Collaborative. You understand that shipping to hardware is a team sport and can communicate effectively with researchers and low-level embedded engineers to translate constraints into solutions. Systems Thinking. You can design architectures that handle failure gracefully and understand the implications of deploying to 10,000 heterogeneous devices, including how to manage risk via canary releases and safe rollbacks. Bias towards action: You see your role as solving problems; this means filling gaps and taking initiative as needed to help the team win together. Nice-to-Haves Edge AI Stack. Experience with the NVIDIA edge ecosystem (Jetson Nano/NX/Orin, DeepStream SDK, TensorRT) is a huge plus. Video Technologies. Familiarity with video pipelines, GStreamer, or ffmpeg. Fleet Management. Experience with tools like AWS IoT Greengrass, Balena, or custom OTA / fleet management solutions. Sports Passion. You have an interest in sports technology, video analytics, or performance metrics-but if not, we'll teach you the domain. Our Role Champion work-life harmony . We'll give you the flexibility you need in your work life (e.g., flexible vacation time above any required statutory leave, company-wide holidays and timeout (meeting-free) days, remote work options and more) so you can enjoy your personal life too. Guarantee autonomy . We have an open, honest culture and we trust our people from day one. Your team will support you, but you'll own your work and have the agency to try new ideas. Encourage career growth. We're lifelong learners who encourage professional development. We'll give you tons of resources and opportunities to keep growing. Provide an environment to help you succeed . We've invested in our offices, designing incredible spaces with our employees in mind. But whether you're at the office or working remotely, we'll provide you the tech you need to do your best work. Support your wellbeing. Depending on location, we offer medical and retirement benefits for employees-but no matter where you're located, we have resources like our Employee Assistance Program and employee resource groups to support your mental health. The base salary range for this role is displayed below- starting salaries will typically fall near the middle of this range. We make compensation decisions based on an individual's experience, skills and education in line with our internal pay equity practices. This role will also be eligible for a long-term incentive (LTI) award. Any bonuses awarded are based on individual and company performance paid at Hudl's discretion. Base Salary Range Inclusion at Hudl Hudl is an equal opportunity employer. Through our actions, behaviors and attitude, we'll create an environment where everyone, no matter their differences, feels like they belong. We offer resources to ensure our employees feel safe bringing their authentic selves to work, including employee resource groups and communities . But we recognize there's ongoing work to be done, which is why we track our efforts and commitments in annual inclusion reports . We also know imposter syndrome is real and the confidence gap can get in the way of meeting spectacular candidates. Please don't hesitate to apply-we'd love to hear from you. Interested in building your career at Hudl? Get future opportunities sent straight to your email. Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf What are your preferred pronouns? What is your preferred office location? Will you require Visa sponsorship now or in the future? Select Have you agreed to any post-employment restrictions, such as non-competition or non-solicitation restrictions, with your current or any prior employer? Select What are your salary expectations? Please include a specific number or range. If you heard about this role from a current Hudl employee, please indicate their name. Voluntary self-identification, gender We'd like to know how well we're doing to ensure diversity, equity and inclusion in our recruitment processes. To help us reach this goal, we'd appreciate if you'd take our diversity questionnaire. Your voluntary choice to complete it will create a separate, confidential record of your name, where you learned about the role you applied for, and information about protected characteristics (UK: the Equity Act 2010). This information will be automatically removed from your profile prior to reviewing your application. Your data is kept strictly confidential and won't be used as a part of the selection process. We'll only use it to measure our recruitment activity and to make reasonable adjustments for disabled employees. The Regulation (EU) 2016/679 and the applicable national data processing regulations (together, the " Applicable Legislation ") for candidates applying to the positions in the EU give rights to individuals in respect of personal data held about them by others and as directed by the above Applicable Legislation Hudl provides you the following information: Hudl and its affiliates act as data controllers in relation to the personal data Hudl collects in connection with its recruiting and hiring processes, as well as with data subprocessors engaged by Hudl to help manage those processes. Hudl's headquarters and its sub processes are located in the USA. If you are located outside of the USA, your personal data will be transferred to the USA once you submit it through our careers site. Diversity information is defined by the DPA as "sensitive". The information you give will be held on both manual and electronic systems by Hudl.

Who We Are AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world's largest airlines and ground handling providers. For more information, visit . We are looking for an experienced Senior Software Engineer who can design and build best-in-class behavior planning systems for autonomous driving in structured, low-speed environments. In this role, you'll own the design and implementation of key modules in the behavior planner - the decision-making layer that determines what the vehicle should do in complex, dynamic airside scenarios. You'll work at the intersection of mission-level goals and motion-level execution, tackling problems in multi-agent interaction modeling, rule-based and learned decision-making, and robust handling of edge cases unique to airport ground operations. This opportunity offers a deeply technical engineer the chance to shape a market-defining enterprise product that combines autonomous vehicle technology with a robotics-as-a-service (RaaS) business model. This role reports to our Planning Tech Lead and works closely with the autonomy engineering team. You Will: Develop and implement advanced behavior planning algorithms for autonomous vehicles Collaborate with cross-functional teams to ensure robust integration and functionality of planning systems Design, write, and maintain efficient and scalable code in C++ and Python Contribute to the architecture and continuous improvement of behavior planning software Conduct extensive testing in simulated environments and real-world scenarios to validate and refine behavior planning algorithms Analyze system performance and implement enhancements based on data and feedback Maintain comprehensive documentation of code, algorithms, and system designs Work closely with other engineering teams to ensure seamless coordination and development You Have: Proficient in modern C++ (11/14/17) and object-oriented programming Skilled in Python for rapid prototyping and testing Strong in debugging, profiling, and optimizing code Deep understanding of behavior planning algorithms such as state machines, behavior trees, and probabilistic planning Familiarity with path planning algorithms like A , RRT, or optimization-based methods Master's degree in Computer Science, Robotics, or a related field Minimum of 3 years of industry experience in autonomous driving, robotics, or a related field We Prefer: Knowledge of state machines, behavior trees, and decision-making under uncertainty Expertise in path planning algorithms such as A , D , and Rapidly-exploring Random Trees (RRT) Knowledge of machine learning techniques, especially in the context of behavior prediction and planning Experience with ROS / ROS2 Implementing systems that can re-plan at high frequencies to adapt to dynamic changes in the environment Ensuring that behavior planning algorithms can execute with minimal latency for real-time navigation Proficiency in optimization techniques and probabilistic models for making informed planning decisions under uncertainty Master's degree or PhD in Robotics, AI, Mathematics, or a related field with a focus on planning, optimization, or control theory is a plus

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century's most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril's family of systems is powered by Lattice OS, an AI powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. About the Team Anduril's Maritime Division has assembled a diverse team of experts in software, robotics, artificial intelligence, sensor fusion, and data analysis to create software and hardware solutions that radically evolve the capabilities of our customers. We are fielding the next generation of autonomous systems to tackle the extremely challenging industry demands of maritime operations. Anduril has brought to market a unique, ultra long range, full ocean depth underwater vessel platform and a completely refreshed maritime vehicle and flexible manufacturing architecture that scales from "small" to "extra large" vehicle sizes. Today, Anduril is executing on billion dollar contracts while simultaneously performing Robot as a Service (RaaS) AUV operations. We are seeking to sustain our early successes with deep investment in an expanded product portfolio. These products, including Dive XL, Dive LD, Copperhead, Seabed Sentry, and other unannounced systems, will deliver a coherent system of systems, enabling the end to end conduct of a variety of autonomous missions in the maritime domain. If you are passionate about solving problems that have real impact and working on systems that directly contribute to achieving national strategic priorities, we want you to join Anduril's Maritime Division and help us build the future of defense capability. About the Job Senior Software Engineers independently drive the delivery of a variety of software integrated into our products. This includes autonomy, simulation, data processing, payload integration, and off board command and control and decision support. We expect Senior Software Engineers to demonstrate end to end outcome ownership at the major subsystem or system level. Senior Software Engineers contribute as a technical lead to the rapid architecting, design, delivery, support, and evolution of next generation autonomous platforms through their entire product life cycle. What You'll Do Empathize with end users and drive solutions that balance their needs with external constraints, restrictions and requirements in a multi stakeholder environment Own software enabled solutions that are deployed to customers, optimizing for the delivery of value to the end user Design and implement scalable software that rapidly delivers capability beyond the scope of current platforms, with a clear path for both architecture and capability evolution over time Contribute to the design and development of existing software services across Anduril, with the aim of developing components that are re usable across multiple Anduril product lines Develop software that runs on and off robotic platforms, using a variety of technologies Contribute to the design, implementation and execution of development processes for the initial delivery and subsequent iteration of vehicle and mission software, including full lifecycle testing, monitoring and operation Create test and simulation fixtures that operate with both software and hardware in the loop Support vehicle manufacturing and deployment Work as a member of a multi disciplinary engineering team, including as a mentor for Software Engineers from differing backgrounds Travel to co locate with end users and/or other teams up to 20% of the time Required Qualifications Bachelor's degree in Robotics, Mechatronics, Computer Science, Engineering, a relevant field, or equivalent experience Extensive professional experience working as a Software Engineer with one or more domains and/or technologies of expertise Systems and/or application programming skills including algorithms, data structures, concurrency, scaling, testing, infrastructure, software design and system design Experience troubleshooting and analyzing remotely deployed software systems Capacity to work holistically on software enabled capabilities up and down the software stack and through lifecycle through design, implementation, operation and sustainment Capacity to act as the technical owner for a software service, including stakeholder engagement, requirements definition, roadmap management, team co ordination, design, implementation, sustainment and evolution Capacity to learn and grow individually, while mentoring junior team members effectively, building team cohesion and capacity Eligible to obtain and maintain an active U.S. Secret security clearance Preferred Qualifications Experience in a senior role for the delivery of a military mission system Experience writing backend services or embedded software in C++ and/or Rust Experience with the design, implementation and operation of horizontally scaled cloud technologies Experience with the design, implementation and support of embedded software, particularly in the field of robotics Experience with modeling and simulation Experience with development of high assurance safety critical software Experience within the product delivery lifecycle including manufacturing, system acceptance, deployment, and sustainment. Familiarity with Systems Engineering concepts Desire to learn and grow into other roles that require experience as a Senior Software Engineer, such as Staff Software Engineer and/or Software Engineering Manager Desire to grow into a Tech Lead Manager role, with responsibility for line management of engineers, in addition to delivery Benefits The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers and are considered part of Anduril's total compensation package. Additionally, Anduril offers top tier benefits for full time employees, including: US Roles: Comprehensive medical, dental, and vision plans at little to no cost to you. UK & AUS Roles: We cover full cost of medical insurance premiums for you and your dependents. IE Roles: We offer an annual contribution toward your private health insurance for you and your dependents. Additional Benefits Income Protection: Anduril covers life and disability insurance for all employees. Generous time off: Highly competitive PTO plans with a holiday hiatus in December. Caregiver & Wellness Leave is available to care for family members, bond with a new baby, or address your own medical needs. Family Planning & Parenting Support: Coverage for fertility treatments (e.g., IVF, preservation), adoption, and gestational carriers, along with resources to support you and your partner from planning to parenting. Mental Health Resources: Access free mental health resources 24/7, including therapy and life coaching. Additional work life services, such as legal and financial support, are also available. Professional Development: Annual reimbursement for professional development. Commuter Benefits: Company funded commuter benefits based on your region. Relocation Assistance: Available depending on role eligibility. Retirement Savings Plan US Roles: Traditional 401(k), Roth, and after tax (mega backdoor Roth) options. UK & IE Roles: Pension plan with employer match. AUS Roles: Superannuation plan. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.

A technology firm in Greater London is seeking a Senior C++ Software Engineer to enhance their unmanned systems software. The role involves developing features that impact live operations, with a focus on C++ programming. Candidates should have experience in robotics or autonomy systems and a solid understanding of software design and debugging. This position offers the opportunity to contribute to a pioneering platform and see your work directly affect real-world applications.

Build software that powers unmanned systems already deployed in the real world. At sees.ai , we've developed a system that is already being used to inspect critical national infrastructure - operating in live environments, not simulations. Now, following a major contract with National Grid and recent investment, we're scaling that system into a robust, production-ready platform. We're looking for a Senior C++ Software Engineer to help take a working system and evolve it into something reliable, scalable, and ready for wider deployment. The Role This is a systems-focused engineering role, not a narrow backend position. You'll work across the core software stack that powers our unmanned systems - contributing to everything from flight control and mission systems, through to simulation, connectivity, and operator interfaces. You'll be working on software that directly impacts how the system behaves in the field, with a short feedback loop between development and real world use. This is an environment where: Systems are already deployed and used in live operations Issues are visible, tangible, and worth solving Improvements can be tested and validated quickly You'll balance hands on development and debugging with longer term architectural thinking as the platform evolves. What You'll Be Doing Developing and maintaining features across the unmanned systems software stack Working on systems including: Flight and mission control Autonomy algorithms (e.g. path planning, obstacle avoidance) Pilot interfaces with 3D visualisation Connectivity between drone and control systems Simulation and testing environments Debugging and improving system behaviour based on real world operational feedback Supporting testing and deployment alongside integration and operations teams Writing tests, documentation, and improving system reliability Contributing to architecture and technical direction as we scale What You'll Bring Strong experience in modern C++ (production systems) Solid understanding of software design, architecture, and debugging complex systems Interest in or exposure to robotics / autonomous systems, such as: Control systems Sensor fusion Path planning Experience working in Linux environments A pragmatic mindset - able to balance speed, reliability, and real world constraints Nice to Have Python (for tooling, testing, or analysis) Experience with simulation environments Networking or distributed systems knowledge Familiarity with CMake or similar build systems Experience with robotics, embedded systems, or real world autonomous platforms How You'll Work Enjoys working across the full system, not just one layer Wants to see their work used and tested in the real world Takes ownership of problems and follows them through to resolution Is comfortable with ambiguity and evolving systems Thrives in a collaborative, fast-moving team See your code deployed on operational systems within days Work on problems where software meets the physical world Be part of a high-performing, innovative and motivated team scaling a proven system into production Contribute to technology with visible impact on the world's energy security sees.ai has a friendly, down to earth culture where people enjoy working together and take pride in what they build. Teams collaborate closely across engineering, operations and commercial roles, sharing ideas openly and supporting each other to solve complex problems. There is real excitement in working on cutting edge autonomous technology, but it is balanced by a thoughtful, responsible approach. We're building the operating system for large scale unmanned inspection operations - enabling systems to be controlled remotely and deployed reliably in real world environments. Our technology is transforming how critical infrastructure is inspected, making it safer, more efficient, and scalable. You'll join at a pivotal stage, where a working system is being scaled into a robust platform, and where your work will directly shape how that happens.

About us Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us-we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! The role As a software engineer for Wayve's Simulation Technology team, you will be an expert software engineer who evolves a core component of Wayve's simulation platform, which is used to develop and evaluate Wayve's driving intelligence. Wayve's approach to autonomous driving presents unique challenges for simulation. Our end to end driving stack requires a simulator that is both highly realistic and highly descriptive. Our approach to simulation brings together a combination of classical simulation techniques with cutting edge developments in machine learning to represent the real world in high fidelity at scale. You will be responsible for shaping and implementing the technical roadmap in one of three key areas: robot emulator fidelity, visual fidelity, or efficient scaling. You will be working closely with our robotics, research, platform, and data teams, as well as the rest of the Simulation Technology team to ensure that our simulation platform meets the needs of our end-users by providing accurate, scalable, and high signal simulations. Challenges you will own Own key performance indicators (KPIs) for simulator cost, SLOs, throughput, latency, etc. Work cross-company on aligning technical dependencies for simulator implementation Lead technical discussions and guide technical direction Effectively integrate the components of the simulated robot into the simulation platform Effectively integrate machine learned graphics subsystems into the simulation platform Implement production quality software in Python About you Essential Experience with workflow orchestration systems (e.g. Airflow, Dagster, Flyte, etc.) and/or developing data intensive applications Excellent development skills in Python Deep knowledge of Kubernetes at the user level Good sense of systems and data oriented software engineering design - what makes code reusable and extensible Understanding of common software performance issues and design tradeoffs 5+ years of industry experience designing and programming software Excellent communication and people engagement skills Desirable Experience in the field of autonomous vehicles or robotics Proficiency with other programming languages like Go or C++ Experience scaling simulations or data intensive workloads Experience with design, implementation, and optimization of large scale machine learning inference systems running in cloud GPU environments Experience operating and scaling modern machine learned graphics techniques (NeRF, Gaussian Splatting, or GenAI) This is a full time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team. Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know. We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you're passionate about self driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply. At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. For more information visit Careers at Wayve. To learn more about what drives us, visit Values at Wayve. DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non discriminatory.

A NOTE FROM THE FOUNDERS Oxford Dynamics is at an inflection point. We operate in some of the most complex and high stakes environments in the world - defence, national security, AI and robotics. The decisions we make now will define not just how fast we grow, but who we become. You will work closely with the entire team. You will be trusted with judgment calls. You will influence the business. And you will see the impact of your work every day. If you are excited by ownership, pace and purpose - and by building something that genuinely matters - we would love to hear from you. Who We Are Founded in 2020, Oxford Dynamics is a fast growing UK deep tech company developing AI and robotic systems designed to operate in mission critical environments. Our flagship AVIS (A Very Intelligent System) AI framework fuses multi modal data - text, imagery, telemetry and sensor feeds - enabling operators to interrogate complex information at speed and make better decisions under pressure. Our STRIDER robotic platform performs autonomous tasks in hazardous environments, protecting people while extending operational reach. Our ambition is simple but demanding: to converge AI and robotics so machines can sense, understand and act in complex, real world environments. We work with defence and security organisations internationally to help protect nations, infrastructure and lives. What You Will Be Doing You'll sit at the core of our product, building the systems that make advanced AI usable in the real world. If you enjoy owning backend services end to end, care deeply about reliability and API quality, and want to work hands on with Palantir Foundry in a high impact environment, this role offers both autonomy and real impact. Backend Architecture & APIs (Primary Focus) Design and evolve scalable backend services in Python using FastAPI for high availability, high-throughput workloads. Build well versioned RESTful APIs aligned to OpenAPI/Swagger, with strong conventions for consistency, idempotency, and backward compatibility. Implement authentication and authorization using OAuth2/OIDC, session management, and fine grained permissions. Design and maintain event driven architectures and background processing pipelines (e.g. Celery, Redis Streams, Kafka) to enable scalable async workloads, retries, and fault tolerant integrations. Design data models and optimise relational databases (PostgreSQL) for performance, partitioning, and horizontal scale. Introduce caching, rate limiting, and queuing to meet performance budgets and latency goals. Integrate with AI pipelines and model serving endpoints, including streaming responses, async inference jobs, and robust error/retry semantics. Palantir Foundry Integration Work with Palantir Foundry to build and maintain data pipelines, ontologies, and integrations that connect backend services to Foundry based analytics and workflows. Leverage Foundry's APIs and tooling to support data modelling, transformation, and secure data exchange across the platform. Security & Reliability Write secure, well tested code (unit, integration, end to end) and uphold coding standards through code reviews. Contribute to logging, metrics, and alerting (Prometheus/Grafana, ELK/OpenSearch) for the services you build. Support compliance readiness (ISO 27001, GDPR) through secure by default design. Cross Functional & Process Collaborate closely with the engineering team, product and leadership to scope, sequence, and deliver outcomes. Translate product requirements into technical plans, breaking work into milestones with measurable success criteria. Mentor engineers on backend design and API ergonomics. Infrastructure Contributions (optional) Ship services via Docker containers with clean, minimal builds. Contribute to IaC (Terraform/CloudFormation) and CI/CD pipelines (GitHub Actions/Argo CD) alongside the DevOps team. Support cloud operations with sensible defaults, cost awareness, and environment promotion across dev/staging/prod. Required Skills & Experience SC Clearance or the ability to obtain SC (and later DV). 5+ years of professional software engineering experience, with a strong focus on backend development in Python and with event driven architectures. Hands on experience with Palantir Foundry, including working with Foundry APIs, data pipelines, ontologies, or Foundry based application development. Proven experience designing and operating production REST APIs with OpenAPI/Swagger. Deep understanding of relational database design, indexing, performance tuning, and migrations (PostgreSQL). Proficiency with containerisation (Docker) and Git based workflows. Experience with API versioning, security, documentation strategies, and automated testing. Strong problem solving skills and the ability to work independently with high ownership. Soft Skills High-agency engineer who owns outcomes end to end. Pragmatic, research driven approach with a bias to ship and iterate. Clear communicator who can talk to stakeholders of varying technical backgrounds. Comfortable defining SLAs, making trade offs explicit, and operating production systems. Why Oxford Dynamics? Join the most exciting growth area in the UK: AI and Robotics! Every member of the Oxford Dynamics team has a major impact on the products and services we provide. Regardless of job title, you will get to make a real difference and learn from colleagues about all areas of our business. Benefits include: Rapid career progression and personal growth Flexible working hours Opportunity to shape the future of a fast growing business Hybrid working model Company pension (NEST) with 4% employer contribution Private Healthcare 29 days holiday + public holidays Oxford Dynamics is committed to creating an inclusive team experience for all. Regardless of race, gender, religion, sexual orientation, age, disability, or parental status, we believe our work is at its best when everyone feels free to be their authentic self.

A note from the Founders Oxford Dynamics is at an inflection point. We operate in some of the most complex and high stakes environments in the world - defence, national security, AI and robotics. The decisions we make now, will define not just how fast we grow, but who we become. You will work closely with all the team. You will be trusted with judgment calls. You will influence the business. And you will see the impact of your work every day in the work we do. If you are excited by ownership, pace and purpose - and by building something that genuinely matters - we would love to hear from you. Who We Are Founded in 2020, Oxford Dynamics (OD) is a fast growing UK deep tech company developing AI and robotic systems designed to operate in mission critical environments. Our flagship AVIS (A Very Intelligent System) AI framework fuses multi modal data - text, imagery, telemetry and sensor feeds - enabling operators to interrogate complex information at speed and make better decisions under pressure. Our STRIDER robotic platform performs autonomous tasks in hazardous environments, protecting people while extending operational reach. Our ambition is simple but demanding: to converge AI and robotics so machines can sense, understand and act in complex, real world environments. We work with defence and security organisations internationally to help protect nations, infrastructure and lives. What you will be doing here/ why this role matters Oxford Dynamics is a small team who rely on a collaborative and positive approach and so the right attitude for this role is equally as important as experience. We are at an important stage and time in our growth, and as a Senior Technical Project Manageryou will be an essential part of our success. You'll work at the cutting edge of agentic and generative AI, building systems that move beyond lab demos and into real world deployment at pace. At Oxford Dynamics, you'll have the freedom to experiment in a fast-moving environment, the responsibility to deliver, and the opportunity to shape how multi agent AI systems operate in complex, constrained, and high trust environments. If you're excited by agent orchestration, VLLMs, and deploying AI where it matters, this role is built for you! Role Summary Oxford Dynamics seeks a Senior Technical Project Manager to own end to end delivery of AI driven software programmes, coordinating multi team execution from scope and planning through production launch with clear SLAs, budgets, and timelines. The role bridges cutting edge AI research and practical deployment, ensuring agentic/LLM features ship safely, on time, and to quality in regulated environments where security and compliance matter. Key Responsibilities Programme Delivery Lead multi project roadmaps managing scope, budgets, risks, RAID, milestones, and change control to deliver on time and within cost. Run Agile ceremonies (Scrum/Kanban), track burn up/burn down, and drive decisions with clear acceptance criteria and measurable outcomes for each increment. Produce crisp client and leadership reporting, acting as the single point of contact to unblock issues across internal teams, suppliers, and stakeholders. AI & Agentic Delivery Orchestrate delivery of AI features spanning LLMs, RAG, and multi agent workflows from ingestion to inference, including offline/edge constraints where required. Partner with Tech Leads to make trade offs in design and architecture, aligning research prototypes with production requirements and service levels. Coordinate release readiness across testing, evaluation, and go live plans. Infrastructure & Operations Align engineering and DevOps on environments, observability, and incident response, ensuring deployments are auditable, cost aware, and reversible. Oversee vendor and subcontractor deliverables, ensuring integrations meet contractual, performance, and compliance requirements. Own risk mitigation for compliance and security constraints typical of regulated sectors, escalating early with clear options and impacts. Cross Functional & Process Translate product goals into executable backlogs and milestones, sequencing dependencies across AI, frontend, backend, and platform teams. Review GitHub PRs alongside Tech Leads to validate scope, surface trade offs, and maintain momentum without compromising quality. Represent Oxford Dynamics with customers and partners, including contributions to bids and programme inputs where needed. Security & Reliability Drive adherence to security and quality management processes appropriate to regulated domains such as defence, aerospace, healthcare, and finance. Ensure projects maintain audit evidence for decisions, testing, and releases, with recovery plans and responsibilities defined prior to go live. Qualifications 5+ years managing software and AI programmes with multiple stakeholders, delivering production releases in fast moving environments. Proven delivery across teams using React and Python stacks (e.g., Django, FastAPI, Flask) or equivalent modern frameworks. Hands on experience coordinating projects that integrate LLMs, RAG, and related AI components into shipped products. Strong scope, requirements, and budget control; confident discussing technical trade offs and reviewing PRs with engineers. Experience in regulated environments with security and compliance responsibilities across the delivery lifecycle. SC clearance or eligibility for UK national security vetting as required by programmes. Preferred / Bonus Portfolio of shipped AI/robotics/software projects with measurable outcomes and references to regulated work where applicable. Knowledge of data security and accreditation processes; experience with offline/edge solutions or constrained deployments. Comfort presenting to senior stakeholders and contributing to business development activities and bids. Soft Skills High agency ownership from concept to launch, with a bias to clarity, iteration, and decision making under uncertainty. Excellent communication across technical and non technical audiences, enabling fast, safe progress across disciplines. Calm, structured problem solving during incidents and changing constraints, with clear follow through on actions and learning. Why Oxford Dynamics? Join the most exciting growth area in the UK: AI and Robotics! Every member of the Oxford Dynamicsteam has a major impact on the products and services we provide. Regardless of jobtitle, you'll get to make a real difference and learn from colleagues about all areas of our business. Benefits Benefits include: Salary: negotiable based on experience and attitudes Rapid career progression with meaningful ownership of core systems Opportunity to shape the future of a fast-growing, successful, early stage business Flexible working hours Hybrid working model Company pension (UK Government NEST scheme) with company contributions at 4% Private Healthcare 29 days holiday in addition to public holidays (Full Time Equivalent) Oxford Dynamics is committed to creating an inclusive team experience for all. Regardless of race, gender, religion, sexual orientation, age, disability, or parental status, we believe our work is at its best when everyone feels free to be their authentic self. Why This Role? This role sits at the intersection of advanced AI and real world delivery, turning ambitious agentic ideas into production systems that meet customer, security, and compliance expectations. For a senior project leader who thrives on clarity, pace, and outcomes, it offers both the autonomy and impact to drive mission critical programmes end to end.

The Pitch. It's a fun job with a great team - and it's a serious one too. This is not a traditional business development role. You won't be pitching products, chasing leads or working from scripts. Instead, you'll be working at the intersection of emerging technology, strategy, and long term client relationships, helping some of the world's most influential R&D led organisations make sense of what's coming next, and decide where to engage. If you enjoy intelligent conversations with very smart people, are comfortable with ambiguity, and want real ownership rather than a narrow sales remit, this role will feel unusually well matched. The role As Client Development Lead - Emerging Technology &Strategy, you will take ownership of how Outsmart Insight develops and grows its client relationships as we enter our next phase of scale. You will work directly with senior leaders (CTOs, Heads of Innovation, R&D Directors, technical strategists) across defence, aerospace, energy, elite sports, advanced manufacturing and government. Your job is to develop clients, not "sell to them": Turning early curiosity into meaningful, funded engagements Shaping broad conversations into well scoped pilots Growing trust based relationships into long term partnerships This is a role for someone who wants to be close to decision making, not buried in process. What you'll be doing Leading senior level, consultative conversations with technically sophisticated clients Developing new client relationships and expanding existing strategic accounts Helping clients define the right problem to explore before money is spent Structuring pilots and guiding clients through how to buy, not just what to buy Acting as a trusted interface between deep technical insight and commercial outcomes Feeding market insight back into how we shape and position our services Working closely with delivery teams to ensure credibility, quality and follow through This is low volume, high trust work. Success is measured in relationship depth and repeat engagement, not activity metrics. The technology landscape You'll gain exposure to - and be expected to engage thoughtfully with - a wide range of emerging technology domains, including: Artificial intelligence and human-machine teaming Robotics and autonomous systems Advanced sensing, haptics and human performance engineering Secure communications and resilient architectures Next generation materials and energy systems You don't need to be an expert. You do need to be genuinely curious. Who this role is for This role is designed for someone who is: Mid career and ready for greater autonomy and ownership Comfortable working with ambiguity and incomplete information Credible with technical, sceptical audiences Motivated by long term impact rather than short term wins Calm, thoughtful, and intellectually curious Many strong candidates have experience within: Technical / Innovation Consultancy Senior Consultant / Principal Consultant (Technology, Innovation, Foresight) External Innovation Lead Technology Scouting Manager Research Commercialisation Industry Partnerships Manager Corporate Venture Manager Ecosystem Manager Strategic Partnerships Manager If you've spent years being close to important conversations but not quite owning the outcome, this role is worth your attention. What we're looking for Rather than a checklist, we're looking for strong alignment with how we work. In practice, that usually means: You'll have 5+ years of experience in senior client facing, partnership, consulting or commercial roles, ideally in technology led or R&D driven environments Additionally: A track record of working with R&D led or technology driven organisations Comfort operating without scripts, rigid playbooks or heavy supervision A background in, or strong affinity for, science, engineering or technology The judgement to balance patience with momentum If you describe yourself primarily as a "closer" or are motivated by aggressive targets, this role is unlikely to be a good fit. Practicalities Schedule: Monday to Friday, no weekends Location: UK based Working style: Remote and flexible arrangements considered

A note from the Founders Oxford Dynamics is at an inflection point. We operate in some of the most complex and high stakes environments in the world - defence, national security, AI and robotics. The decisions we make now, will define not just how fast we grow, but who we become. You will work closely with all the team. You will be trusted with judgment calls. You will influence the business. And you will see the impact of your work every day in the work we do. If you are excited by ownership, pace and purpose - and by building something that genuinely matters - we would love to hear from you. Who We Are Founded in 2020, Oxford Dynamics (OD) is a fast growing UK deep tech company developing AI and robotic systems designed to operate in mission critical environments. Our flagship AVIS (A Very Intelligent System) AI framework fuses multi modal data - text, imagery, telemetry and sensor feeds - enabling operators to interrogate complex information at speed and make better decisions under pressure. Our STRIDER robotic platform performs autonomous tasks in hazardous environments, protecting people while extending operational reach. Our ambition is simple but demanding: to converge AI and robotics so machines can sense, understand and act in complex, real world environments. We work with defence and security organisations internationally to help protect nations, infrastructure and lives. What you will be doing here/ why this role matters Oxford Dynamics is a small team who rely on a collaborative and positive approach and so the right attitude for this role is equally as important as experience. We are at an important stage and time in our growth, and as a Senior Technical Project Manageryou will be an essential part of our success. You'll work at the cutting edge of agentic and generative AI, building systems that move beyond lab demos and into real world deployment at pace. At Oxford Dynamics, you'll have the freedom to experiment in a fast-moving environment, the responsibility to deliver, and the opportunity to shape how multi agent AI systems operate in complex, constrained, and high trust environments. If you're excited by agent orchestration, VLLMs, and deploying AI where it matters, this role is built for you! Role Summary Oxford Dynamics seeks a Senior Technical Project Manager to own end to end delivery of AI driven software programmes, coordinating multi team execution from scope and planning through production launch with clear SLAs, budgets, and timelines. The role bridges cutting edge AI research and practical deployment, ensuring agentic/LLM features ship safely, on time, and to quality in regulated environments where security and compliance matter. Key Responsibilities Programme Delivery Lead multi project roadmaps managing scope, budgets, risks, RAID, milestones, and change control to deliver on time and within cost. Run Agile ceremonies (Scrum/Kanban), track burn up/burn down, and drive decisions with clear acceptance criteria and measurable outcomes for each increment. Produce crisp client and leadership reporting, acting as the single point of contact to unblock issues across internal teams, suppliers, and stakeholders. AI & Agentic Delivery Orchestrate delivery of AI features spanning LLMs, RAG, and multi agent workflows from ingestion to inference, including offline/edge constraints where required. Partner with Tech Leads to make trade offs in design and architecture, aligning research prototypes with production requirements and service levels. Coordinate release readiness across testing, evaluation, and go live plans. Infrastructure & Operations Align engineering and DevOps on environments, observability, and incident response, ensuring deployments are auditable, cost aware, and reversible. Oversee vendor and subcontractor deliverables, ensuring integrations meet contractual, performance, and compliance requirements. Own risk mitigation for compliance and security constraints typical of regulated sectors, escalating early with clear options and impacts. Cross Functional & Process Translate product goals into executable backlogs and milestones, sequencing dependencies across AI, frontend, backend, and platform teams. Review GitHub PRs alongside Tech Leads to validate scope, surface trade offs, and maintain momentum without compromising quality. Represent Oxford Dynamics with customers and partners, including contributions to bids and programme inputs where needed. Security & Reliability Drive adherence to security and quality management processes appropriate to regulated domains such as defence, aerospace, healthcare, and finance. Ensure projects maintain audit evidence for decisions, testing, and releases, with recovery plans and responsibilities defined prior to go live. Qualifications 5+ years managing software and AI programmes with multiple stakeholders, delivering production releases in fast moving environments. Proven delivery across teams using React and Python stacks (e.g., Django, FastAPI, Flask) or equivalent modern frameworks. Hands on experience coordinating projects that integrate LLMs, RAG, and related AI components into shipped products. Strong scope, requirements, and budget control; confident discussing technical trade offs and reviewing PRs with engineers. Experience in regulated environments with security and compliance responsibilities across the delivery lifecycle. SC clearance or eligibility for UK national security vetting as required by programmes. Preferred / Bonus Portfolio of shipped AI/robotics/software projects with measurable outcomes and references to regulated work where applicable. Knowledge of data security and accreditation processes; experience with offline/edge solutions or constrained deployments. Comfort presenting to senior stakeholders and contributing to business development activities and bids. Soft Skills High agency ownership from concept to launch, with a bias to clarity, iteration, and decision making under uncertainty. Excellent communication across technical and non technical audiences, enabling fast, safe progress across disciplines. Calm, structured problem solving during incidents and changing constraints, with clear follow through on actions and learning. Why Oxford Dynamics? Join the most exciting growth area in the UK: AI and Robotics! Every member of the Oxford Dynamicsteam has a major impact on the products and services we provide. Regardless of jobtitle, you'll get to make a real difference and learn from colleagues about all areas of our business. Benefits Benefits include: Salary: negotiable based on experience and attitudes Rapid career progression with meaningful ownership of core systems Opportunity to shape the future of a fast-growing, successful, early stage business Flexible working hours Hybrid working model Company pension (UK Government NEST scheme) with company contributions at 4% Private Healthcare 29 days holiday in addition to public holidays (Full Time Equivalent) Oxford Dynamics is committed to creating an inclusive team experience for all. Regardless of race, gender, religion, sexual orientation, age, disability, or parental status, we believe our work is at its best when everyone feels free to be their authentic self. Why This Role? This role sits at the intersection of advanced AI and real world delivery, turning ambitious agentic ideas into production systems that meet customer, security, and compliance expectations. For a senior project leader who thrives on clarity, pace, and outcomes, it offers both the autonomy and impact to drive mission critical programmes end to end.

Graduate Software Engineer - Build Technology That Moves in the Real World Want to write code that doesn't just sit on a screen- but powers real robots in real environments? At Dexory, our engineers build the systems behind autonomous robots that navigate warehouses, scan inventory, and generate insights at scale. From robotics and computer vision to machine learning and cloud infrastructure, the problems we solve are complex, fast-moving, and deeply technical. This is more than a graduate role. It's a launchpad. Why this role is different From your first few weeks, you'll be shipping production code-software that runs on robots, processes live data, and supports real operations. Your first year is structured to accelerate your growth: Start in a core team aligned with your interests Rotate across teams every 2-3 months Build both depth and breadth across a modern engineering stack By the end of the year, you won't just understand the system-you'll have helped build it. If you're excited by complex systems, real-world impact, and rapid growth, this is where your engineering career starts. Where you could work Autonomy - Build the systems that allow robots to safely navigate busy, real world warehouse environments. Think: motion planning, real time systems, and safety critical software. AI / Perception - Turn raw sensor data into meaningful insights using computer vision and machine learning. Think: ML pipelines, point cloud data, and large scale perception systems. Platform - Power everything behind the scenes with scalable infrastructure and developer tooling. Think: cloud systems, CI/CD, and production reliability at scale. What you'll be doing Ship production code early-whether it's running on robots, powering pipelines, or supporting infrastructure Work on systems that interact with the physical world, not just simulations Progress from well defined tasks to owning features and leading small projects Design, build, test, and deploy software to production standards from day one Collaborate with engineers and cross functional teams to deliver real world solutions Contribute to technical discussions and grow into architectural thinking What we're looking for You don't need industry experience-but you do need strong fundamentals and curiosity. You should have A degree in Computer Science, Engineering, Robotics, AI/ML, Maths, Physics, or similar Strong foundations in PythonExperience with Git and Linux Evidence of building real projects (coursework, personal projects, open source, etc.) Depending on your interests, it's great if you have Autonomy: C++, robotics, or real time systems AI / Perception: PyTorch, TensorFlow, or computer vision Platform: Docker, CI/CD, or cloud infrastructure We care more about depth than ticking every box. If you're strong in one area and motivated to learn, you'll thrive here. How you'll grow You'll be supported from day one with structured mentorship and clear progression: Dedicated mentor: A senior engineer to guide your development Real feedback: Regular input on your code, decisions, and growth Access to leadership: Learn from experienced engineers across the business Your first year 3 months: Shipping independently, confident in your team's domain 6 months: Owning features end to end, contributing to design discussions 12 months: Operating as a well rounded engineer across multiple systems Technologies you'll work with Depending on your team and rotations: Autonomy: C++, ROS AI / Perception: PyTorch, TensorFlow What you'll gain Experience building production systems from day one Exposure to robotics, AI, and scalable infrastructure A fast tracked path to becoming a confident, well rounded engineer The chance to work on technology that directly impacts real world operations Starting from the interview process and continuing into your career with us, you will be working by our four Operating Principles: Performance: High standards, outstanding results, Commitment: All in, every time One team: One mission, shared success Joining our team and company isn't just about expertise; it's about embracing uncertainty with ambition. We're crafting world changing solutions, fueled by a passion to redefine what's possible. We will look for you to help create and shape the future of logistics solutions through our products, our culture and our shared vision. Benefits Private healthcare via Bupa with 24/7 medical helpline Life insurance Income protection Pension: 4+% employee with option to opt into salary exchange, 5% employer Employee Assistance Programme - mental wellbeing, financial and legal advice/support 25 holidays per year Full meals onsite in Wallingford Fun team events on and offsite, snacks of all kinds in the office AAP/EEO Statement Dexory provides equal employment opportunities to all employees and applicants for employment. It prohibits discrimination and harassment of any type without regard to race, colour, religion, age, sex, national origin, disability status, genetics, protected veteran status, or any other characteristic protected by local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Additional Information Please note: We are unable to provide sponsorship or relocation for this role. Start date will be September 2026