Date Posted: 2026-02-23 Country: United Kingdom Location: Gloucester, South Gloucestershire Position Role Type: Unspecified Senior Data Scientist & Machine Learning Researcher Location Gloucester, London or Manchester Hybrid role: Must be prepared to work from a Raytheon or customer site depending on demand. Average of 3 days a week on-site. SC Required Must already hold or be able to gain an eDV clearance. Duration Permanent Hours Fulltime 37 hrs Raytheon UK At Raytheon UK, we take immense pride in being a leader in defence and aerospace technology. As an employer, we are dedicated to fuelling innovation, nurturing talent, and fostering a culture of excellence. Joining our team means being part of an organisation that shapes the future of national security whilst investing in your growth and personal development. We provide a collaborative environment, abundant opportunities for professional development, and a profound sense of purpose in what we do. Together, we are not just advancing technology; we're building a community committed to safeguarding a safer and more connected world. About the role This role is within the Strategic Research Group (SRG). The SRG are a team of Data Science, Machine Learning and AI specialists who develop novel AI solutions to mission focussed problems. In this role you will be responsible for the technical development and leadership of AI/ML projects from initial idea scoping right through to final project delivery both in customer and internal domains. You will demonstrate novel thinking and propose new ideas for solving challenging problems while mentoring others on your project team to deliver towards your proposed solution. Skills and Experience Requirements BSc in Machine Learning, Data Science, Computer Science, Mathematics or related field. Experience coding in Python and associated ML packages (HuggingFace, TensorFlow, PyTorch). Have an established track record of delivering ML solutions to customers and internal stakeholders. Demonstrate deep understanding of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to undertake research and development beyond existing literature. Experience of training and developing AI models including Large Language Models. Ability to produce high-quality scientific writing for internal & external stakeholders as well as academic publications. Problem solve with autonomy. Be a self-starter, being pro-active in finding solutions. Experience of mentoring other team members and undertaking technical leadership on small projects or sub-parts of larger deliveries. Desirable PhD. or Masters degree highlighting experience of academic research. Experience using robust ML pipelines, appropriate version control and environment management (such as venvs or Docker). Working knowledge of Linux systems, using basic commandline functionality (e.g. AWS CLI, Docker CLI, Linux commands like ssh, ls, cd ) Experience of deploying AI models in a scalable way for external users. Experience working in Cloud, especially AWS but also equivalents such as GCP or Azure. Research publications in peer reviewed journals. Comfortable following agile processes for project delivery. Experience of delivering AI/ML projects in defence or government. Existing network of contacts across defence and government. Experience of writing technical project proposals. Responsibilities Develop complex, novel data science solutions, contributing significantly to machine learning projects with minimal guidance. Brings experience in scoping, designing, and delivering data-centric solutions while working collaboratively across disciplines. Undertake research and applied AI/ML tasks on both customer and internal research projects. Provide technical leadership in small project groups. Generate ideas for new research directions. Advise on suitability of group research ideas based on previous experience. Mentor more junior team members within their project team and the wider SRG. Deliver AI/ML/Data Science solutions to broad range of problems in defence. Work with customers and internal stakeholders to determine appropriate technical approaches and do the technical development required for delivery. Excellent communication skills, prepared to present and undertake practical demonstrations of work internally in the team and to senior stakeholders with adaptability to audiences of different levels of technical expertise. Benefits and Work Culture Benefits Competitive salaries. 25 days holiday + statutory public holidays, plus opportunity to buy and sell up to 5 days (37hr) Contributory Pension Scheme (up to 10.5% company contribution) Company bonus scheme (discretionary). 6 times salary 'Life Assurance' with pension. Flexible Benefits scheme with extensive salary sacrifice schemes, including Health Cashplan, Dental, and Cycle to Work amongst others. Enhanced sick pay. Enhanced family friendly policies including enhanced maternity, paternity & shared parental leave. Car / Car allowance (dependant on grade/ role) Private Medical Insurance (dependant on grade) Work Culture 37hr working week, although hours may vary depending on role, job requirement or site-specific arrangements. Early 1.30pm finish Friday, start your weekend early! Remote, hybrid and site based working opportunities, dependant on your needs and the requirements of the role. A grownup flexible working culture that is output, not time spent at desk, focussed. More formal flexible working arrangements can also be requested and assessed subject to the role. Please enquire or highlight any request to our Talent Acquisition team to explore the flexible working possibilities. Up to 5 paid days volunteering each year. RTX Raytheon UK is a landed company and part of the wider RTX organisation. Headquartered in Arlington, Virginia, USA, but with over 180,000 employees globally across every continent, RTX provides advanced systems and services for commercial, military and government customers worldwide and comprises three industry-leading businesses - Collins Aerospace Systems, Pratt & Whitney, and Raytheon. Supporting over 35,000 jobs across 13 UK sites, RTX is helping to drive prosperity. Each year our work contributes over £2.7bn to the UK economy and offers a wealth of opportunities to 4,000 suppliers across England, Scotland, Wales and Northern Ireland. We're investing in all corners of the country, supporting 29,040 jobs in England, 3,040 in Northern Ireland, 1,900 in Scotland and 1,600 in Wales. RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, color, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law. Tagged as: Industry, Language Modeling, Machine Learning, NLP, United Kingdom
Mar 02, 2026
Full time
Date Posted: 2026-02-23 Country: United Kingdom Location: Gloucester, South Gloucestershire Position Role Type: Unspecified Senior Data Scientist & Machine Learning Researcher Location Gloucester, London or Manchester Hybrid role: Must be prepared to work from a Raytheon or customer site depending on demand. Average of 3 days a week on-site. SC Required Must already hold or be able to gain an eDV clearance. Duration Permanent Hours Fulltime 37 hrs Raytheon UK At Raytheon UK, we take immense pride in being a leader in defence and aerospace technology. As an employer, we are dedicated to fuelling innovation, nurturing talent, and fostering a culture of excellence. Joining our team means being part of an organisation that shapes the future of national security whilst investing in your growth and personal development. We provide a collaborative environment, abundant opportunities for professional development, and a profound sense of purpose in what we do. Together, we are not just advancing technology; we're building a community committed to safeguarding a safer and more connected world. About the role This role is within the Strategic Research Group (SRG). The SRG are a team of Data Science, Machine Learning and AI specialists who develop novel AI solutions to mission focussed problems. In this role you will be responsible for the technical development and leadership of AI/ML projects from initial idea scoping right through to final project delivery both in customer and internal domains. You will demonstrate novel thinking and propose new ideas for solving challenging problems while mentoring others on your project team to deliver towards your proposed solution. Skills and Experience Requirements BSc in Machine Learning, Data Science, Computer Science, Mathematics or related field. Experience coding in Python and associated ML packages (HuggingFace, TensorFlow, PyTorch). Have an established track record of delivering ML solutions to customers and internal stakeholders. Demonstrate deep understanding of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to undertake research and development beyond existing literature. Experience of training and developing AI models including Large Language Models. Ability to produce high-quality scientific writing for internal & external stakeholders as well as academic publications. Problem solve with autonomy. Be a self-starter, being pro-active in finding solutions. Experience of mentoring other team members and undertaking technical leadership on small projects or sub-parts of larger deliveries. Desirable PhD. or Masters degree highlighting experience of academic research. Experience using robust ML pipelines, appropriate version control and environment management (such as venvs or Docker). Working knowledge of Linux systems, using basic commandline functionality (e.g. AWS CLI, Docker CLI, Linux commands like ssh, ls, cd ) Experience of deploying AI models in a scalable way for external users. Experience working in Cloud, especially AWS but also equivalents such as GCP or Azure. Research publications in peer reviewed journals. Comfortable following agile processes for project delivery. Experience of delivering AI/ML projects in defence or government. Existing network of contacts across defence and government. Experience of writing technical project proposals. Responsibilities Develop complex, novel data science solutions, contributing significantly to machine learning projects with minimal guidance. Brings experience in scoping, designing, and delivering data-centric solutions while working collaboratively across disciplines. Undertake research and applied AI/ML tasks on both customer and internal research projects. Provide technical leadership in small project groups. Generate ideas for new research directions. Advise on suitability of group research ideas based on previous experience. Mentor more junior team members within their project team and the wider SRG. Deliver AI/ML/Data Science solutions to broad range of problems in defence. Work with customers and internal stakeholders to determine appropriate technical approaches and do the technical development required for delivery. Excellent communication skills, prepared to present and undertake practical demonstrations of work internally in the team and to senior stakeholders with adaptability to audiences of different levels of technical expertise. Benefits and Work Culture Benefits Competitive salaries. 25 days holiday + statutory public holidays, plus opportunity to buy and sell up to 5 days (37hr) Contributory Pension Scheme (up to 10.5% company contribution) Company bonus scheme (discretionary). 6 times salary 'Life Assurance' with pension. Flexible Benefits scheme with extensive salary sacrifice schemes, including Health Cashplan, Dental, and Cycle to Work amongst others. Enhanced sick pay. Enhanced family friendly policies including enhanced maternity, paternity & shared parental leave. Car / Car allowance (dependant on grade/ role) Private Medical Insurance (dependant on grade) Work Culture 37hr working week, although hours may vary depending on role, job requirement or site-specific arrangements. Early 1.30pm finish Friday, start your weekend early! Remote, hybrid and site based working opportunities, dependant on your needs and the requirements of the role. A grownup flexible working culture that is output, not time spent at desk, focussed. More formal flexible working arrangements can also be requested and assessed subject to the role. Please enquire or highlight any request to our Talent Acquisition team to explore the flexible working possibilities. Up to 5 paid days volunteering each year. RTX Raytheon UK is a landed company and part of the wider RTX organisation. Headquartered in Arlington, Virginia, USA, but with over 180,000 employees globally across every continent, RTX provides advanced systems and services for commercial, military and government customers worldwide and comprises three industry-leading businesses - Collins Aerospace Systems, Pratt & Whitney, and Raytheon. Supporting over 35,000 jobs across 13 UK sites, RTX is helping to drive prosperity. Each year our work contributes over £2.7bn to the UK economy and offers a wealth of opportunities to 4,000 suppliers across England, Scotland, Wales and Northern Ireland. We're investing in all corners of the country, supporting 29,040 jobs in England, 3,040 in Northern Ireland, 1,900 in Scotland and 1,600 in Wales. RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, color, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law. Tagged as: Industry, Language Modeling, Machine Learning, NLP, United Kingdom
Job title: Principal Software Engineer - Autonomy Location: Fareham, Hampshire Responsible to: Autonomy & Control Director Liaison with: All staff, sub-contractors, customers, and suppliers Role overview: To lead the software development of a high-level autonomy capability to be deployed to autonomous vehicles. This is a diverse R&D-led role covering vessel guidance, mission frameworks and behaviours, obstacle avoidance, and other high-level capabilities including modern AI techniques. Most development will require strong expertise with C++, Python, ROS/ROS2, DDS, and embedded Linux environments. You will be responsible for designing, implementing, and optimising autonomy algorithms and systems in both experimental and production settings. You should be comfortable handling complex workloads across R&D, prototyping, and mission-critical production deployments. Primary responsibilities include, but are not limited to: Lead the development and implementation of high-level autonomous behaviours for unmanned vehicles. Design and optimise algorithms for obstacle avoidance, path planning, and mission-level autonomy. Work extensively with ROS2, DDS, and Linux-based systems to develop robust autonomy software. Collaborate with cross-functional teams, including perception, navigation, and hardware engineers, to integrate autonomy solutions. Develop and maintain high-quality, well-documented code using C++ and Python. Conduct rigorous testing and validation of autonomy software in both simulated and real-world environments. Provide technical leadership, mentoring, and guidance to junior engineers and researchers. Balance R&D experimentation with production-level software deployment and optimisation. PERSON SPECIFICIATION Essential skills, knowledge and experience: Extensive experience in C++, with a focus on software architecture and algorithms. Strong understanding of autonomous system design, including motion planning, state estimation, and behaviour-based control. Experience working with Linux, including system-level debugging and performance tuning. Solid knowledge of real-time systems, distributed computing, and middleware communication frameworks. Experience developing and deploying software in an R&D and production environment. Excellent problem-solving skills with the ability to innovate and iterate on autonomy algorithms. Strong verbal and written communication skills, capable of conveying complex technical ideas clearly. Desirable skills, knowledge and experience: Proven expertise in ROS or ROS2 and/or DDS based systems, Python. Experience with sensor fusion techniques (LIDAR, RADAR, cameras, IMUs). Knowledge of deep learning-based perception for autonomous systems. Experience with simulation tools such as Gazebo, CARLA, or Unreal Engine. Familiarity with real-time and embedded systems. Familiarity with cloud-based robotics and containerization (Docker, Kubernetes). Familiarity with PX4 and MAVLink based flight control systems. Previous work in the defence, aerospace, or maritime autonomy sectors. Key behaviours that align with our commitment to excellence, collaboration and efficiency within the workplace: To be punctual and manage workload effectively to meet deadlines and priorities. Clearly convey ideas and information while actively listening to others. Work well with colleagues to achieve common goals and support team members as needed. Identify issues and develop practical solutions in a timely manner. Maintain a high standard of conduct, respecting confidentiality and addressing challenges respectfully. Ensure work is accurate, thorough and free from errors through careful review. Take ownership of tasks, following through on commitments. Maintain professionalism in client interactions. General accountabilities and responsibilities: To use personal judgement and initiative to develop effective and constructive solutions to challenges and obstacles in day-to-day activities and procedures within the specified role To maintain personal ability in, and appropriate use of, all relevant IT (Information and Technology) and other systems required to adequately perform the role To act ethically, with integrity and in the best interest of the business at all times To maintain a professional and supportive relationship with team members and other departments to deliver business objectives or deadlines To carry out any other duties as detailed by a member of the senior management team or authorised representative To keep good time management to minimise any wasted time and maximise productivity and effectiveness Health & Safety responsibilities: To ensure that the working area is a clean and a safe environment in compliance with the best practice and health and safety policies To ensure any equipment used is safe, within electrical test date and all guards and interlocks are working and in place To act safely and responsibly in line with company processes and Health and Safety procedures to ensure your safety and the safety of others To report any potential Health and safety hazards or violations to your line manager or directly to the QHSE Manager To ensure any PPE or work wear required or provided for the job is worn and checked regularly for wear and then reported when replacements required
Feb 27, 2026
Full time
Job title: Principal Software Engineer - Autonomy Location: Fareham, Hampshire Responsible to: Autonomy & Control Director Liaison with: All staff, sub-contractors, customers, and suppliers Role overview: To lead the software development of a high-level autonomy capability to be deployed to autonomous vehicles. This is a diverse R&D-led role covering vessel guidance, mission frameworks and behaviours, obstacle avoidance, and other high-level capabilities including modern AI techniques. Most development will require strong expertise with C++, Python, ROS/ROS2, DDS, and embedded Linux environments. You will be responsible for designing, implementing, and optimising autonomy algorithms and systems in both experimental and production settings. You should be comfortable handling complex workloads across R&D, prototyping, and mission-critical production deployments. Primary responsibilities include, but are not limited to: Lead the development and implementation of high-level autonomous behaviours for unmanned vehicles. Design and optimise algorithms for obstacle avoidance, path planning, and mission-level autonomy. Work extensively with ROS2, DDS, and Linux-based systems to develop robust autonomy software. Collaborate with cross-functional teams, including perception, navigation, and hardware engineers, to integrate autonomy solutions. Develop and maintain high-quality, well-documented code using C++ and Python. Conduct rigorous testing and validation of autonomy software in both simulated and real-world environments. Provide technical leadership, mentoring, and guidance to junior engineers and researchers. Balance R&D experimentation with production-level software deployment and optimisation. PERSON SPECIFICIATION Essential skills, knowledge and experience: Extensive experience in C++, with a focus on software architecture and algorithms. Strong understanding of autonomous system design, including motion planning, state estimation, and behaviour-based control. Experience working with Linux, including system-level debugging and performance tuning. Solid knowledge of real-time systems, distributed computing, and middleware communication frameworks. Experience developing and deploying software in an R&D and production environment. Excellent problem-solving skills with the ability to innovate and iterate on autonomy algorithms. Strong verbal and written communication skills, capable of conveying complex technical ideas clearly. Desirable skills, knowledge and experience: Proven expertise in ROS or ROS2 and/or DDS based systems, Python. Experience with sensor fusion techniques (LIDAR, RADAR, cameras, IMUs). Knowledge of deep learning-based perception for autonomous systems. Experience with simulation tools such as Gazebo, CARLA, or Unreal Engine. Familiarity with real-time and embedded systems. Familiarity with cloud-based robotics and containerization (Docker, Kubernetes). Familiarity with PX4 and MAVLink based flight control systems. Previous work in the defence, aerospace, or maritime autonomy sectors. Key behaviours that align with our commitment to excellence, collaboration and efficiency within the workplace: To be punctual and manage workload effectively to meet deadlines and priorities. Clearly convey ideas and information while actively listening to others. Work well with colleagues to achieve common goals and support team members as needed. Identify issues and develop practical solutions in a timely manner. Maintain a high standard of conduct, respecting confidentiality and addressing challenges respectfully. Ensure work is accurate, thorough and free from errors through careful review. Take ownership of tasks, following through on commitments. Maintain professionalism in client interactions. General accountabilities and responsibilities: To use personal judgement and initiative to develop effective and constructive solutions to challenges and obstacles in day-to-day activities and procedures within the specified role To maintain personal ability in, and appropriate use of, all relevant IT (Information and Technology) and other systems required to adequately perform the role To act ethically, with integrity and in the best interest of the business at all times To maintain a professional and supportive relationship with team members and other departments to deliver business objectives or deadlines To carry out any other duties as detailed by a member of the senior management team or authorised representative To keep good time management to minimise any wasted time and maximise productivity and effectiveness Health & Safety responsibilities: To ensure that the working area is a clean and a safe environment in compliance with the best practice and health and safety policies To ensure any equipment used is safe, within electrical test date and all guards and interlocks are working and in place To act safely and responsibly in line with company processes and Health and Safety procedures to ensure your safety and the safety of others To report any potential Health and safety hazards or violations to your line manager or directly to the QHSE Manager To ensure any PPE or work wear required or provided for the job is worn and checked regularly for wear and then reported when replacements required
Job title: Principal Software Engineer - Autonomy Location: Fareham, Hampshire Responsible to: Autonomy & Control Director Liaison with: All Kraken staff, sub-contractors, customers, and suppliers Role overview: To lead the software development of a high-level autonomy capability to be deployed to all Kraken autonomous vehicles. This is a diverse R&D-led role covering vessel guidance, mission frameworks and behaviours, obstacle avoidance, and other high-level capabilities including modern AI techniques. Most development will require strong expertise with C++, Python, ROS/ROS2, DDS, and embedded Linux environments. You will be responsible for designing, implementing, and optimising autonomy algorithms and systems in both experimental and production settings. You should be comfortable handling complex workloads across R&D, prototyping, and mission-critical production deployments. Primary responsibilities include, but are not limited to: Lead the development and implementation of high-level autonomous behaviours for unmanned vehicles. Design and optimise algorithms for obstacle avoidance, path planning, and mission-level autonomy. Work extensively with ROS2, DDS, and Linux-based systems to develop robust autonomy software. Collaborate with cross-functional teams, including perception, navigation, and hardware engineers, to integrate autonomy solutions. Develop and maintain high-quality, well-documented code using C++ and Python. Conduct rigorous testing and validation of autonomy software in both simulated and real-world environments. Provide technical leadership, mentoring, and guidance to junior engineers and researchers. Balance R&D experimentation with production-level software deployment and optimisation. PERSON SPECIFICIATION Essential skills, knowledge and experience: Extensive experience in C++, with a focus on software architecture and algorithms. Strong understanding of autonomous system design, including motion planning, state estimation, and behaviour-based control. Experience working with Linux, including system-level debugging and performance tuning. Solid knowledge of real-time systems, distributed computing, and middleware communication frameworks. Experience developing and deploying software in an R&D and production environment. Excellent problem-solving skills with the ability to innovate and iterate on autonomy algorithms. Strong verbal and written communication skills, capable of conveying complex technical ideas clearly. Desirable skills, knowledge and experience: Proven expertise in ROS or ROS2 and/or DDS based systems, Python. Experience with sensor fusion techniques (LIDAR, RADAR, cameras, IMUs). Knowledge of deep learning-based perception for autonomous systems. Experience with simulation tools such as Gazebo, CARLA, or Unreal Engine. Familiarity with real-time and embedded systems. Familiarity with cloud-based robotics and containerization (Docker, Kubernetes). Familiarity with PX4 and MAVLink based flight control systems. Previous work in the defence, aerospace, or maritime autonomy sectors. Key behaviours that align with our commitment to excellence, collaboration and efficiency within the workplace: To be punctual and manage workload effectively to meet deadlines and priorities. Clearly convey ideas and information while actively listening to others. Work well with colleagues to achieve common goals and support team members as needed. Identify issues and develop practical solutions in a timely manner. Maintain a high standard of conduct, respecting confidentiality and addressing challenges respectfully. Ensure work is accurate, thorough and free from errors through careful review. Take ownership of tasks, following through on commitments. Maintain professionalism in client interactions. General accountabilities and responsibilities: To use personal judgement and initiative to develop effective and constructive solutions to challenges and obstacles in day-to-day activities and procedures within the specified role To maintain personal ability in, and appropriate use of, all relevant IT (Information and Technology) and other systems required to adequately perform the role To act ethically, with integrity and in the best interest of the business at all times To maintain a professional and supportive relationship with team members and other departments to deliver business objectives or deadlines To carry out any other duties as detailed by a member of the senior management team or authorised representative To keep good time management to minimise any wasted time and maximise productivity and effectiveness Health & Safety responsibilities: To ensure that the working area is a clean and a safe environment in compliance with the best practice and health and safety policies To ensure any equipment used is safe, within electrical test date and all guards and interlocks are working and in place To act safely and responsibly in line with company processes and Health and Safety procedures to ensure your safety and the safety of others To report any potential Health and safety hazards or violations to your line manager or directly to the QHSE Manager To ensure any PPE or work wear required or provided for the job is worn and checked regularly for wear and then reported when replacements required
Feb 26, 2026
Full time
Job title: Principal Software Engineer - Autonomy Location: Fareham, Hampshire Responsible to: Autonomy & Control Director Liaison with: All Kraken staff, sub-contractors, customers, and suppliers Role overview: To lead the software development of a high-level autonomy capability to be deployed to all Kraken autonomous vehicles. This is a diverse R&D-led role covering vessel guidance, mission frameworks and behaviours, obstacle avoidance, and other high-level capabilities including modern AI techniques. Most development will require strong expertise with C++, Python, ROS/ROS2, DDS, and embedded Linux environments. You will be responsible for designing, implementing, and optimising autonomy algorithms and systems in both experimental and production settings. You should be comfortable handling complex workloads across R&D, prototyping, and mission-critical production deployments. Primary responsibilities include, but are not limited to: Lead the development and implementation of high-level autonomous behaviours for unmanned vehicles. Design and optimise algorithms for obstacle avoidance, path planning, and mission-level autonomy. Work extensively with ROS2, DDS, and Linux-based systems to develop robust autonomy software. Collaborate with cross-functional teams, including perception, navigation, and hardware engineers, to integrate autonomy solutions. Develop and maintain high-quality, well-documented code using C++ and Python. Conduct rigorous testing and validation of autonomy software in both simulated and real-world environments. Provide technical leadership, mentoring, and guidance to junior engineers and researchers. Balance R&D experimentation with production-level software deployment and optimisation. PERSON SPECIFICIATION Essential skills, knowledge and experience: Extensive experience in C++, with a focus on software architecture and algorithms. Strong understanding of autonomous system design, including motion planning, state estimation, and behaviour-based control. Experience working with Linux, including system-level debugging and performance tuning. Solid knowledge of real-time systems, distributed computing, and middleware communication frameworks. Experience developing and deploying software in an R&D and production environment. Excellent problem-solving skills with the ability to innovate and iterate on autonomy algorithms. Strong verbal and written communication skills, capable of conveying complex technical ideas clearly. Desirable skills, knowledge and experience: Proven expertise in ROS or ROS2 and/or DDS based systems, Python. Experience with sensor fusion techniques (LIDAR, RADAR, cameras, IMUs). Knowledge of deep learning-based perception for autonomous systems. Experience with simulation tools such as Gazebo, CARLA, or Unreal Engine. Familiarity with real-time and embedded systems. Familiarity with cloud-based robotics and containerization (Docker, Kubernetes). Familiarity with PX4 and MAVLink based flight control systems. Previous work in the defence, aerospace, or maritime autonomy sectors. Key behaviours that align with our commitment to excellence, collaboration and efficiency within the workplace: To be punctual and manage workload effectively to meet deadlines and priorities. Clearly convey ideas and information while actively listening to others. Work well with colleagues to achieve common goals and support team members as needed. Identify issues and develop practical solutions in a timely manner. Maintain a high standard of conduct, respecting confidentiality and addressing challenges respectfully. Ensure work is accurate, thorough and free from errors through careful review. Take ownership of tasks, following through on commitments. Maintain professionalism in client interactions. General accountabilities and responsibilities: To use personal judgement and initiative to develop effective and constructive solutions to challenges and obstacles in day-to-day activities and procedures within the specified role To maintain personal ability in, and appropriate use of, all relevant IT (Information and Technology) and other systems required to adequately perform the role To act ethically, with integrity and in the best interest of the business at all times To maintain a professional and supportive relationship with team members and other departments to deliver business objectives or deadlines To carry out any other duties as detailed by a member of the senior management team or authorised representative To keep good time management to minimise any wasted time and maximise productivity and effectiveness Health & Safety responsibilities: To ensure that the working area is a clean and a safe environment in compliance with the best practice and health and safety policies To ensure any equipment used is safe, within electrical test date and all guards and interlocks are working and in place To act safely and responsibly in line with company processes and Health and Safety procedures to ensure your safety and the safety of others To report any potential Health and safety hazards or violations to your line manager or directly to the QHSE Manager To ensure any PPE or work wear required or provided for the job is worn and checked regularly for wear and then reported when replacements required
Job title: Principal Software Engineer - Autonomy Location: Fareham, Hampshire Responsible to: Autonomy & Control Director Liaison with: All Kraken staff, sub-contractors, customers, and suppliers Role overview: To lead the software development of a high-level autonomy capability to be deployed to all Kraken autonomous vehicles. This is a diverse R&D-led role covering vessel guidance, mission frameworks and behaviours, obstacle avoidance, and other high-level capabilities including modern AI techniques. Most development will require strong expertise with C++, Python, ROS/ROS2, DDS, and embedded Linux environments. You will be responsible for designing, implementing, and optimising autonomy algorithms and systems in both experimental and production settings. You should be comfortable handling complex workloads across R&D, prototyping, and mission-critical production deployments. Primary responsibilities include, but are not limited to: Lead the development and implementation of high-level autonomous behaviours for unmanned vehicles. Design and optimise algorithms for obstacle avoidance, path planning, and mission-level autonomy. Work extensively with ROS2, DDS, and Linux-based systems to develop robust autonomy software. Collaborate with cross-functional teams, including perception, navigation, and hardware engineers, to integrate autonomy solutions. Develop and maintain high-quality, well-documented code using C++ and Python. Conduct rigorous testing and validation of autonomy software in both simulated and real-world environments. Provide technical leadership, mentoring, and guidance to junior engineers and researchers. Balance R&D experimentation with production-level software deployment and optimisation. PERSON SPECIFICIATION Essential skills, knowledge and experience: Extensive experience in C++, with a focus on software architecture and algorithms. Strong understanding of autonomous system design, including motion planning, state estimation, and behaviour-based control. Experience working with Linux, including system-level debugging and performance tuning. Solid knowledge of real-time systems, distributed computing, and middleware communication frameworks. Experience developing and deploying software in an R&D and production environment. Excellent problem-solving skills with the ability to innovate and iterate on autonomy algorithms. Strong verbal and written communication skills, capable of conveying complex technical ideas clearly. Desirable skills, knowledge and experience: Proven expertise in ROS or ROS2 and/or DDS based systems, Python. Experience with sensor fusion techniques (LIDAR, RADAR, cameras, IMUs). Knowledge of deep learning-based perception for autonomous systems. Experience with simulation tools such as Gazebo, CARLA, or Unreal Engine. Familiarity with real-time and embedded systems. Familiarity with cloud-based robotics and containerization (Docker, Kubernetes). Familiarity with PX4 and MAVLink based flight control systems. Previous work in the defence, aerospace, or maritime autonomy sectors. Key behaviours that align with our commitment to excellence, collaboration and efficiency within the workplace: To be punctual and manage workload effectively to meet deadlines and priorities. Clearly convey ideas and information while actively listening to others. Work well with colleagues to achieve common goals and support team members as needed. Identify issues and develop practical solutions in a timely manner. Maintain a high standard of conduct, respecting confidentiality and addressing challenges respectfully. Ensure work is accurate, thorough and free from errors through careful review. Take ownership of tasks, following through on commitments. Maintain professionalism in client interactions. General accountabilities and responsibilities: To use personal judgement and initiative to develop effective and constructive solutions to challenges and obstacles in day-to-day activities and procedures within the specified role To maintain personal ability in, and appropriate use of, all relevant IT (Information and Technology) and other systems required to adequately perform the role To act ethically, with integrity and in the best interest of the business at all times To maintain a professional and supportive relationship with team members and other departments to deliver business objectives or deadlines To carry out any other duties as detailed by a member of the senior management team or authorised representative To keep good time management to minimise any wasted time and maximise productivity and effectiveness Health & Safety responsibilities: To ensure that the working area is a clean and a safe environment in compliance with the best practice and health and safety policies To ensure any equipment used is safe, within electrical test date and all guards and interlocks are working and in place To act safely and responsibly in line with company processes and Health and Safety procedures to ensure your safety and the safety of others To report any potential Health and safety hazards or violations to your line manager or directly to the QHSE Manager To ensure any PPE or work wear required or provided for the job is worn and checked regularly for wear and then reported when replacements required
Feb 26, 2026
Full time
Job title: Principal Software Engineer - Autonomy Location: Fareham, Hampshire Responsible to: Autonomy & Control Director Liaison with: All Kraken staff, sub-contractors, customers, and suppliers Role overview: To lead the software development of a high-level autonomy capability to be deployed to all Kraken autonomous vehicles. This is a diverse R&D-led role covering vessel guidance, mission frameworks and behaviours, obstacle avoidance, and other high-level capabilities including modern AI techniques. Most development will require strong expertise with C++, Python, ROS/ROS2, DDS, and embedded Linux environments. You will be responsible for designing, implementing, and optimising autonomy algorithms and systems in both experimental and production settings. You should be comfortable handling complex workloads across R&D, prototyping, and mission-critical production deployments. Primary responsibilities include, but are not limited to: Lead the development and implementation of high-level autonomous behaviours for unmanned vehicles. Design and optimise algorithms for obstacle avoidance, path planning, and mission-level autonomy. Work extensively with ROS2, DDS, and Linux-based systems to develop robust autonomy software. Collaborate with cross-functional teams, including perception, navigation, and hardware engineers, to integrate autonomy solutions. Develop and maintain high-quality, well-documented code using C++ and Python. Conduct rigorous testing and validation of autonomy software in both simulated and real-world environments. Provide technical leadership, mentoring, and guidance to junior engineers and researchers. Balance R&D experimentation with production-level software deployment and optimisation. PERSON SPECIFICIATION Essential skills, knowledge and experience: Extensive experience in C++, with a focus on software architecture and algorithms. Strong understanding of autonomous system design, including motion planning, state estimation, and behaviour-based control. Experience working with Linux, including system-level debugging and performance tuning. Solid knowledge of real-time systems, distributed computing, and middleware communication frameworks. Experience developing and deploying software in an R&D and production environment. Excellent problem-solving skills with the ability to innovate and iterate on autonomy algorithms. Strong verbal and written communication skills, capable of conveying complex technical ideas clearly. Desirable skills, knowledge and experience: Proven expertise in ROS or ROS2 and/or DDS based systems, Python. Experience with sensor fusion techniques (LIDAR, RADAR, cameras, IMUs). Knowledge of deep learning-based perception for autonomous systems. Experience with simulation tools such as Gazebo, CARLA, or Unreal Engine. Familiarity with real-time and embedded systems. Familiarity with cloud-based robotics and containerization (Docker, Kubernetes). Familiarity with PX4 and MAVLink based flight control systems. Previous work in the defence, aerospace, or maritime autonomy sectors. Key behaviours that align with our commitment to excellence, collaboration and efficiency within the workplace: To be punctual and manage workload effectively to meet deadlines and priorities. Clearly convey ideas and information while actively listening to others. Work well with colleagues to achieve common goals and support team members as needed. Identify issues and develop practical solutions in a timely manner. Maintain a high standard of conduct, respecting confidentiality and addressing challenges respectfully. Ensure work is accurate, thorough and free from errors through careful review. Take ownership of tasks, following through on commitments. Maintain professionalism in client interactions. General accountabilities and responsibilities: To use personal judgement and initiative to develop effective and constructive solutions to challenges and obstacles in day-to-day activities and procedures within the specified role To maintain personal ability in, and appropriate use of, all relevant IT (Information and Technology) and other systems required to adequately perform the role To act ethically, with integrity and in the best interest of the business at all times To maintain a professional and supportive relationship with team members and other departments to deliver business objectives or deadlines To carry out any other duties as detailed by a member of the senior management team or authorised representative To keep good time management to minimise any wasted time and maximise productivity and effectiveness Health & Safety responsibilities: To ensure that the working area is a clean and a safe environment in compliance with the best practice and health and safety policies To ensure any equipment used is safe, within electrical test date and all guards and interlocks are working and in place To act safely and responsibly in line with company processes and Health and Safety procedures to ensure your safety and the safety of others To report any potential Health and safety hazards or violations to your line manager or directly to the QHSE Manager To ensure any PPE or work wear required or provided for the job is worn and checked regularly for wear and then reported when replacements required
Service Designer (UX-Led) My client is seeking an experienced Service Designer who has evolved from a UX background into service design - someone who understands interaction design deeply but now operates at a broader, end-to-end service level. This is not a product design role. It s about shaping holistic services across journeys, systems, people, and touchpoints - ensuring experiences work seamlessly across digital and physical channels. You ll be passionate about human-centred design and driven to improve real-life customer moments. The ambition is simple but powerful: transforming moments of worry into moments of hope through thoughtful, well-designed services. You ll also be someone who cares deeply about the craft - advocating for service design thinking, elevating UX maturity, and helping embed service principles across the organisation. The Role As a Service Designer, you will: Lead end-to-end service design activity across complex customer journeys. Map current and future state services, identifying pain points, dependencies, and opportunities. Work within agile environments to uncover priorities, visualise outcomes, and define scope from a service perspective. Use research and insight to shape service improvements, ensuring solutions are grounded in real human needs. Facilitate workshops and stakeholder sessions to align on service vision, risks, and constraints. Champion human-centred design, constructively challenging business or technical limitations where needed. Collaborate closely with UX designers, researchers, product owners, engineers, and operational teams. Support the evolution of service design capability and ways of working across the organisation. Clearly communicate service concepts, blueprints, and journey thinking to both senior and non-technical stakeholders. What You ll Bring A strong foundation in UX design, with clear progression into service design. Experience designing end-to-end services beyond individual screens or features. Confidence working across multiple touchpoints, channels, and operational processes. Strong journey mapping and service blueprinting experience. The ability to connect research insights to strategic service decisions. Excellent stakeholder management skills, including experience working with senior leaders. Resilience and adaptability in complex, fast-moving environments. A collaborative mindset and genuine passion for improving customer experiences. Benefits Excellent career development opportunities Birthday off + Wellness Days Flexible working Interested? Please click Apply Now. Service Designer (UX-Led)
Feb 19, 2026
Full time
Service Designer (UX-Led) My client is seeking an experienced Service Designer who has evolved from a UX background into service design - someone who understands interaction design deeply but now operates at a broader, end-to-end service level. This is not a product design role. It s about shaping holistic services across journeys, systems, people, and touchpoints - ensuring experiences work seamlessly across digital and physical channels. You ll be passionate about human-centred design and driven to improve real-life customer moments. The ambition is simple but powerful: transforming moments of worry into moments of hope through thoughtful, well-designed services. You ll also be someone who cares deeply about the craft - advocating for service design thinking, elevating UX maturity, and helping embed service principles across the organisation. The Role As a Service Designer, you will: Lead end-to-end service design activity across complex customer journeys. Map current and future state services, identifying pain points, dependencies, and opportunities. Work within agile environments to uncover priorities, visualise outcomes, and define scope from a service perspective. Use research and insight to shape service improvements, ensuring solutions are grounded in real human needs. Facilitate workshops and stakeholder sessions to align on service vision, risks, and constraints. Champion human-centred design, constructively challenging business or technical limitations where needed. Collaborate closely with UX designers, researchers, product owners, engineers, and operational teams. Support the evolution of service design capability and ways of working across the organisation. Clearly communicate service concepts, blueprints, and journey thinking to both senior and non-technical stakeholders. What You ll Bring A strong foundation in UX design, with clear progression into service design. Experience designing end-to-end services beyond individual screens or features. Confidence working across multiple touchpoints, channels, and operational processes. Strong journey mapping and service blueprinting experience. The ability to connect research insights to strategic service decisions. Excellent stakeholder management skills, including experience working with senior leaders. Resilience and adaptability in complex, fast-moving environments. A collaborative mindset and genuine passion for improving customer experiences. Benefits Excellent career development opportunities Birthday off + Wellness Days Flexible working Interested? Please click Apply Now. Service Designer (UX-Led)
Meet DeepL DeepL is a global AI product and research company focused on building secure, intelligent solutions to complex business problems. Over 200,000 business customers and millions of individuals across 228 global markets today trust DeepL's Language AI platform for human like translation, improved writing and real time voice translation. Building on a history of innovation, quality and security, DeepL continues to expand its offerings beyond the field of Language, including DeepL Agent - an autonomous AI assistant designed to transform the way businesses and knowledge workers get work done. Founded in 2017 by CEO Jarek Kutylowski, DeepL now has over 1,000 passionate employees and is supported by world renowned investors including Benchmark, IVP, and Index Ventures. Our goal is to become the global leader in trusted, intelligent AI technology, building products that drive better communication, foster connections, and create a meaningful impact. To achieve this, we need talented people like you to join our journey. If you're ready to shape the future of AI and grow your career in a fast moving, purpose driven environment, DeepL is your next destination. What sets us apart What sets us apart is our blend of cutting edge AI technology, meaningful work, and a culture where people truly thrive. We're a team of innovators, researchers, and creators driven by a shared purpose to unlock human potential by making work simpler, smarter, and more connected. When we share what it's like to work at DeepL, the reactions are overwhelmingly positive. This might be because of our technology that helps millions of people and businesses communicate and work better every day, or because of the trust, curiosity, and care that shape our culture. What we know for sure is this: being part of DeepL means joining a team dedicated to innovation, growth, and well being. Discover more about life at DeepL on LinkedIn , Instagram , and our Blog . Meet the team behind this journey At DeepL, we're on an exciting adventure to expand our operations to match our ambitious growth plans. At the heart of this journey is our wider Sales team, a cornerstone of DeepL's market expansion and customer engagement strategy. The successful candidate will be the local technical expert and strategic advisor to our customers and bridge the gap between DeepL's technical features and the customer's desired outcomes, ultimately driving adoption and satisfaction. Our Solutions Consultants are a global group of product experts who work hand in hand with our Account Executives, ensuring every customer's technical needs are met. Through regular knowledge exchange across regions, they stay at the forefront of innovation, ready to guide our larger SME and Enterprise clients alike. Your responsibilities Act as a trusted advisor to prospects and customers in BeNeLux, aligning DeepL's solutions with their business goals and technical requirements. Lead technical discovery and conduct highly tailored demos, presentations, and prototypes that highlight how DeepL integrates into SaaS, iPaaS, and enterprise environments. Manage complex sales cycles alongside Account Executives by translating customer needs into technical solutions that demonstrate meaningful business impact. Conduct and oversee technical evaluations, including scoping and executing proofs of concept, facilitating workshops, and supporting the RFP/RFI process. Simplify complex technical information into clear, actionable insights for both executive and technical audiences. Provide expert guidance on REST APIs, SSO standards (e.g., SAML, OAuth, OpenID), and integration patterns relevant to enterprise workflows. Build and maintain enablement materials-demo environments, best practice guides, technical collateral-to support Sales and Customer teams. Collaborate closely with Product and Engineering teams by surfacing customer feedback, sharing market insights, and influencing roadmap priorities. Foster deep customer relationships by supporting early adoption, advising on integration patterns, and providing hands on technical expertise during pre sales engagements. Contribute to team process improvements and help shape the growing pre sales playbook in a fast moving scale up environment. Qualities we look for Fluency in English and French is required for this role. 5+ years of professional experience, with at least two years in client facing pre sales, sales engineering, customer success at a senior level, software implementation or account management at a SaaS company. Strong experience supporting customers in a fast paced, high growth SaaS environment, ideally within enterprise or mid market segments. Hands on expertise conducting customer evaluations, including technical discovery, workshops, proofs of concept, and early stage deployments. Solid technical foundation, including knowledge of REST APIs, authentication and SSO frameworks (SAML, OAuth, OpenID, Azure AD), and common SaaS integration patterns. You enjoy leading complex technical conversations involving multiple stakeholders, navigating ambiguity, and driving clarity in customer architectures. Ability to rapidly learn, understand, and work with emerging technologies, methodologies, and solutions. Familiarity with IT, security, and compliance requirements, including experience supporting customers through security questionnaires, vendor assessments, and RFP/RFI processes. Motivated by working in a dynamic scale up environment, contributing to process improvements, adapting to evolving priorities, and helping shape the growing pre sales playbook. What we offer Diverse and internationally distributed team: joining our team means becoming part of a large, global community with people of more than 90 nationalities. We're more than just colleagues; we're a group of professionals with a shared mission to connect diverse cultures. Our global presence is growing- we've doubled in size nearly every year, with our employees based in the UK, Germany, the Netherlands, Poland, the US, and Japan, and we continue to expand our network. Open communication, regular feedback: as a language focused company, we value the importance of clear, honest communication. We value smooth collaboration, direct and actionable feedback, and believe that leading with empathy makes us better together. Hybrid work, flexible hours: we offer a hybrid work schedule, with team members coming into the office twice a week. This allows you to engage directly with your team and experience the unique energy of our workspace, while still enjoying the flexibility and comfort of working from home. With flexible working hours and trust in your productivity, we are in sync with your team's general locations and time zones to foster effective and seamless collaboration. Regular in person team events: we bond over vibrant events that are as unique as our team, from local team and business unit gatherings, to new joiner onboardings, to company wide events that bring us all together-literally. Monthly full day hacking sessions: every month, we have Hack Fridays, where you can spend your time diving into a project you're passionate about and get the opportunity to work with other teams- we value your initiatives, impact, and creativity. 30 days of annual leave: we value your peace of mind. With 30 days off (excluding public holidays) and access to mental health resources, we make sure you're as strong mentally as you are professionally. Annual learning budget: because we never stop learning, we've set up an annual budget for your professional development-pick a learning path which contributes to your career development and we'll back you up. If this role and our mission resonate with you, but you're hesitant because you don't check all the boxes, don't let that hold you back. At DeepL, it's all about the value you bring and the growth we can foster together. Go ahead, apply-let's discover your potential together. We can't wait to meet you! We are an equal opportunity employer You are welcome at DeepL for who you are-we appreciate authenticity here. Our product is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all succeed, contribute, and think forward! So bring us your personal experience, your perspectives, and your background. It's in our diversity that we will find the power to break down language barriers in the world.
Feb 15, 2026
Full time
Meet DeepL DeepL is a global AI product and research company focused on building secure, intelligent solutions to complex business problems. Over 200,000 business customers and millions of individuals across 228 global markets today trust DeepL's Language AI platform for human like translation, improved writing and real time voice translation. Building on a history of innovation, quality and security, DeepL continues to expand its offerings beyond the field of Language, including DeepL Agent - an autonomous AI assistant designed to transform the way businesses and knowledge workers get work done. Founded in 2017 by CEO Jarek Kutylowski, DeepL now has over 1,000 passionate employees and is supported by world renowned investors including Benchmark, IVP, and Index Ventures. Our goal is to become the global leader in trusted, intelligent AI technology, building products that drive better communication, foster connections, and create a meaningful impact. To achieve this, we need talented people like you to join our journey. If you're ready to shape the future of AI and grow your career in a fast moving, purpose driven environment, DeepL is your next destination. What sets us apart What sets us apart is our blend of cutting edge AI technology, meaningful work, and a culture where people truly thrive. We're a team of innovators, researchers, and creators driven by a shared purpose to unlock human potential by making work simpler, smarter, and more connected. When we share what it's like to work at DeepL, the reactions are overwhelmingly positive. This might be because of our technology that helps millions of people and businesses communicate and work better every day, or because of the trust, curiosity, and care that shape our culture. What we know for sure is this: being part of DeepL means joining a team dedicated to innovation, growth, and well being. Discover more about life at DeepL on LinkedIn , Instagram , and our Blog . Meet the team behind this journey At DeepL, we're on an exciting adventure to expand our operations to match our ambitious growth plans. At the heart of this journey is our wider Sales team, a cornerstone of DeepL's market expansion and customer engagement strategy. The successful candidate will be the local technical expert and strategic advisor to our customers and bridge the gap between DeepL's technical features and the customer's desired outcomes, ultimately driving adoption and satisfaction. Our Solutions Consultants are a global group of product experts who work hand in hand with our Account Executives, ensuring every customer's technical needs are met. Through regular knowledge exchange across regions, they stay at the forefront of innovation, ready to guide our larger SME and Enterprise clients alike. Your responsibilities Act as a trusted advisor to prospects and customers in BeNeLux, aligning DeepL's solutions with their business goals and technical requirements. Lead technical discovery and conduct highly tailored demos, presentations, and prototypes that highlight how DeepL integrates into SaaS, iPaaS, and enterprise environments. Manage complex sales cycles alongside Account Executives by translating customer needs into technical solutions that demonstrate meaningful business impact. Conduct and oversee technical evaluations, including scoping and executing proofs of concept, facilitating workshops, and supporting the RFP/RFI process. Simplify complex technical information into clear, actionable insights for both executive and technical audiences. Provide expert guidance on REST APIs, SSO standards (e.g., SAML, OAuth, OpenID), and integration patterns relevant to enterprise workflows. Build and maintain enablement materials-demo environments, best practice guides, technical collateral-to support Sales and Customer teams. Collaborate closely with Product and Engineering teams by surfacing customer feedback, sharing market insights, and influencing roadmap priorities. Foster deep customer relationships by supporting early adoption, advising on integration patterns, and providing hands on technical expertise during pre sales engagements. Contribute to team process improvements and help shape the growing pre sales playbook in a fast moving scale up environment. Qualities we look for Fluency in English and French is required for this role. 5+ years of professional experience, with at least two years in client facing pre sales, sales engineering, customer success at a senior level, software implementation or account management at a SaaS company. Strong experience supporting customers in a fast paced, high growth SaaS environment, ideally within enterprise or mid market segments. Hands on expertise conducting customer evaluations, including technical discovery, workshops, proofs of concept, and early stage deployments. Solid technical foundation, including knowledge of REST APIs, authentication and SSO frameworks (SAML, OAuth, OpenID, Azure AD), and common SaaS integration patterns. You enjoy leading complex technical conversations involving multiple stakeholders, navigating ambiguity, and driving clarity in customer architectures. Ability to rapidly learn, understand, and work with emerging technologies, methodologies, and solutions. Familiarity with IT, security, and compliance requirements, including experience supporting customers through security questionnaires, vendor assessments, and RFP/RFI processes. Motivated by working in a dynamic scale up environment, contributing to process improvements, adapting to evolving priorities, and helping shape the growing pre sales playbook. What we offer Diverse and internationally distributed team: joining our team means becoming part of a large, global community with people of more than 90 nationalities. We're more than just colleagues; we're a group of professionals with a shared mission to connect diverse cultures. Our global presence is growing- we've doubled in size nearly every year, with our employees based in the UK, Germany, the Netherlands, Poland, the US, and Japan, and we continue to expand our network. Open communication, regular feedback: as a language focused company, we value the importance of clear, honest communication. We value smooth collaboration, direct and actionable feedback, and believe that leading with empathy makes us better together. Hybrid work, flexible hours: we offer a hybrid work schedule, with team members coming into the office twice a week. This allows you to engage directly with your team and experience the unique energy of our workspace, while still enjoying the flexibility and comfort of working from home. With flexible working hours and trust in your productivity, we are in sync with your team's general locations and time zones to foster effective and seamless collaboration. Regular in person team events: we bond over vibrant events that are as unique as our team, from local team and business unit gatherings, to new joiner onboardings, to company wide events that bring us all together-literally. Monthly full day hacking sessions: every month, we have Hack Fridays, where you can spend your time diving into a project you're passionate about and get the opportunity to work with other teams- we value your initiatives, impact, and creativity. 30 days of annual leave: we value your peace of mind. With 30 days off (excluding public holidays) and access to mental health resources, we make sure you're as strong mentally as you are professionally. Annual learning budget: because we never stop learning, we've set up an annual budget for your professional development-pick a learning path which contributes to your career development and we'll back you up. If this role and our mission resonate with you, but you're hesitant because you don't check all the boxes, don't let that hold you back. At DeepL, it's all about the value you bring and the growth we can foster together. Go ahead, apply-let's discover your potential together. We can't wait to meet you! We are an equal opportunity employer You are welcome at DeepL for who you are-we appreciate authenticity here. Our product is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all succeed, contribute, and think forward! So bring us your personal experience, your perspectives, and your background. It's in our diversity that we will find the power to break down language barriers in the world.
