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Description ILE (Infrastructure & Logistics Engineer) Security Clearance: SC clearance required Location: Whiteley, Hampshire Leidos is a growing technology company delivering innovative solutions that protect critical national capabilities and support frontline services. In the UK, we work across defence, healthcare, government, safety and security, and transportation, helping to solve some of the country’s most complex challenges. The Role: We are recruiting an Infrastructure & Logistics Engineer (ILE) to work within a Mission‑Critical Systems and Systems Integration environment. You will support, maintain, and improve infrastructure and lab environments, working as part of a technical team while also taking ownership of tasks and technical solutions. The role involves hands‑on technical work, supporting users and systems that underpin critical operations. You’ll be comfortable working on multiple tasks at the same time and flexible when required to meet project milestones. What You’ll Do Support and maintain lab and infrastructure environments Install, configure, upgrade, and maintain hardware, software, and networks Provide hands‑on technical support, fault finding, and issue resolution Manage system setup, backups, and asset management Support customer sites with system installations and repairs Work closely with engineers, users, and team leads to deliver project objectives Assist with project planning, reporting, and progress updates Carry out testing of systems and network designs Develop an understanding of Air Traffic Control systems and how they operate Required skills: Experience in infrastructure, lab support, or systems engineering environments Strong technical and analytical problem‑solving skills Ability to work both independently and as part of a team Clear verbal and written communication skills Good organisation, time management, and reliability Customer‑focused with flexibility to support project needs Confident general IT skills across common software tools Desirable Skills & Experience Experience installing and supporting hardware and software in lab environments Experience with Linux (Red Hat) and/or AIX (v5.2+) Experience with Windows Server administration and backups Basic networking experience (e.g. Cisco or HP equipment) Understanding of networking fundamentals such as TCP/IP and DNS Experience working in mission‑critical or safety‑related environments What we do for you: At Leidos we are PASSIONATE about customer success, UNITED as a team and INSPIRED to make a difference. We offer meaningful and engaging careers, a collaborative culture, and support for your career goals, all while nurturing a healthy work-life balance. We provide an employment package that attracts, develops and retains only the best in talent. Our reward scheme includes: Contributory Pension Scheme Private Medical Insurance 33 days Annual Leave (including public and privilege holidays) Access to Flexible benefits Flexi Working Commitment to Diversity: We welcome applications from every part of the community and are committed to a truly diverse and inclusive culture. We foster a sense of belonging, welcoming all perspectives and contributions, and providing equal access to opportunities and resources for everyone. If you have a disability or need any reasonable adjustments during the application and selection stages, please let us know, and we will respond in a way that best fits your needs. Who We Are: _ – we work to make the world safer, healthier, and more efficient through technology, engineering and science. Leidos is a growing company delivering innovative technology and solutions focused on safeguarding critical capabilities and transformation in frontline services, our work in the United Kingdom includes addressing some of the most complex problems in defence, healthcare, government, safety and security, and transportation. Working together as Team Leidos we are helping to transform the UK's defence supply chain by providing an integration of a complex mixture of services, at low risk, using a modern suite of systems that will deliver one version of the truth. For the first time, the MOD will see the whole picture, as it is happening. What Makes Us Different: Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire change. Collaboration: having flexibility to do your job is one of our core benefits, enabling you to become part of our extraordinary team. We have been empowering our people to work flexibly for years. Whether you work from home, the office or on customer sites, we will give you the digital tools and the flexibility to work smarter and align your needs and ours. People: Leidos empowers people from every background to be themselves and gives you the tools to learn new skills by enabling growth whilst developing. We believe that extraordinary people need opportunities to grow, to be inspired and to inspire others. At Leidos, we invest in technical academies, career rotations and a career development plans that that enhance your future. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares. For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. £29,500.00-£34,700.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit _. Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at _. Securing Your Data Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at _. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the _. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

Description Integration Test Engineer - ATM Location: This is a Hybrid role. Whiteley, Hampshire Clearance Required: This role will require attainment and maintenance of SC clearance We are looking for an Integration Tester to join our team to help us deliver a large-scale systems integration programme. As part of a multi discipline team the successful candidate will be responsible for the design, writing and execution of test cases, as assigned by the Test Lead. The successful candidate will interface with multiple teams, and with Customer stakeholders to create and execute tests. The role will require the ability to effectively communicate with all members of the team, ranging from technical personnel to programme leadership. The role includes executing tests across a variety of software products, their interfaces and network & infrastructure configurations, and identifying and managing resulting defects. What will I be doing? Generating Test Cases by reviewing of requirements and design documentation, liaising with SMEs, suppliers and stakeholders Documenting of test results and any defects/reporting progress, risks & issues Investigating issues and working with suppliers to identify root cause and resolution Analysing data, large datasets and test evidence from suppliers to show compliance to requirements Identifying improvements in new and existing processes What does Leidos need from me? ISTQB/ISEB Foundation Certificate in software testing Ability to work onsite 2-3 days per week Excellent understanding of Testing Lifecycle and the different types of testing such as Functional, Non-Functional and Integration Testing Proven track record in developing Software solutions using 1st (1GL) through 3rd (3GL) generation languages (e.g. ADA 83/95, C, C++) Proven Experience using Waterfall and V model development models Proven experience delivering solutions on Linux type operating systems Experience of using development environments related to 1GL through 3GL generation Languages Able to estimate and plan own immediate tasks and manage their completion Good oral and written communication skills, confident in technical and non-technical discussions Good time management and organisational skills – ability to work with minimal supervision Enthusiastic, proactive, troubleshooting attitude with a willingness to learn new technologies Experience of creating Test Cases based on requirements and design documents Preferred Experience Experience of Other Software Development Techniques like Agile development (e.g. Scrum) Experience of delivering real-time and/or safety-related software Knowledge of modelling languages (e.g. SysML, UML) Knowledge of procedural and object orientated software development languages (e.g. Ada, C, C++ & Java) Knowledge of scripting languages (e.g. Python) Knowledge of COTS integration technologies (e.g. Apache) Working with large-scale and complex integration programmes Experience with service oriented architecture ATM knowledge would be advantageous but is not a pre-requisite What we do for you: At Leidos we are PASSIONATE about customer success, UNITED as a team and INSPIRED to make a difference. We offer meaningful and engaging careers, a collaborative culture, and support for your career goals, all while nurturing a healthy work-life balance. We provide an employment package that attracts, develops and retains only the best in talent. Our reward scheme includes: • Contributory Pension Scheme, • Private Medical Insurance, • 33 days Annual Leave (including public and privilege holidays), • Access to Flexible benefits (including life assurance, health schemes, gym memberships, annual buy and sell holidays and a cycle to work scheme and much more!), • Flexi-Time Working Commitment to Diversity: We welcome applications from every part of the community and are committed to a truly diverse and inclusive culture. We foster a sense of belonging, welcoming all perspectives and contributions, and providing equal access to opportunities and resources for everyone. If you have a disability or need any reasonable adjustments during the application and selection stages please let us know, and we will respond in a way that best fits your needs. Who We Are: _ – we work to make the world safer, healthier, and more efficient through technology, engineering and science. Leidos is a growing company delivering innovative technology and solutions focused on safeguarding critical capabilities and transformation in frontline services, our work in the United Kingdom includes addressing some of the most complex problems in defence, healthcare, government, safety and security, and transportation. What Makes Us Different: Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire change. Collaboration: having flexibility to do your job is one of our core benefits, enabling you to become part of our extraordinary team. We have been empowering our people to work flexibly for years. Whether you work from home, the office or on customer sites, we will give you the digital tools and the flexibility to work smarter and align your needs and ours. People: Leidos empowers people from every background to be themselves and gives you the tools to learn new skills by enabling growth whilst developing. We believe that extraordinary people need opportunities to grow, to be inspired and to inspire others. At Leidos, we invest in technical academies, career rotations and a career development plans that enhance your future. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares. For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. £36,900.00-£46,100.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit _. Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at _. Securing Your Data Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at _. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the _. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

Description AAS Test Engineer Location: This is a Hybrid role. Whiteley, Hampshire Clearance Required: This role will require attainment and maintenance of SC clearance We are looking for an Integration Test Engineer to join our team to help us deliver numerous systems integration projects. As part of an multi discipline team the successful candidate will be responsible for test case derivation, documentation and execution, as assigned by the Test Lead. The successful candidate will be work with a variety of specialists to design, create and execute tests. The role will require the ability to effectively communicate with all members of the team, ranging from technical personnel to programme leadership. The role includes executing tests across a variety of software products, their interfaces and network & infrastructure configurations, and identifying and managing resulting defects. Primary Responsibilities What will I be doing? Generating Test Cases by reviewing of requirements and design documentation, liaising with SMEs Documenting of test results and any defects/reporting progress, risks & issues Investigating issues and working with suppliers to identify root cause and resolution Analysing data and test evidence from suppliers to show compliance to requirements Reviewing Test Plans, Designs and Reports, working with suppliers and stakeholders Identifying improvements in new and existing processes Basic Qualifications What does Leidos need from me? Min 3 years test experience (including ISTQB/ISEB Foundation Certificate in software testing) Ability to take part in testing in Fareham Excellent understanding of Testing Lifecycle and the different types of testing such as Functional, Non-Functional and Integration Testing Demonstrable systems integration experience including integrating 3rd party systems or components Able to estimate and plan own immediate tasks and manage their completion What we do for you: At Leidos we are PASSIONATE about customer success, UNITED as a team and INSPIRED to make a difference. We offer meaningful and engaging careers, a collaborative culture, and support for your career goals, all while nurturing a healthy work-life balance. We provide an employment package that attracts, develops and retains only the best in talent. Our reward scheme includes: Contributory Pension Scheme Private Medical Insurance 33 days Annual Leave (including public and privilege holidays) Access to Flexible benefits Flexi Working Commitment to Diversity: We welcome applications from every part of the community and are committed to a truly diverse and inclusive culture. We foster a sense of belonging, welcoming all perspectives and contributions, and providing equal access to opportunities and resources for everyone. If you have a disability or need any reasonable adjustments during the application and selection stages, please let us know, and we will respond in a way that best fits your needs. Who We Are: _ – we work to make the world safer, healthier, and more efficient through technology, engineering and science. Leidos is a growing company delivering innovative technology and solutions focused on safeguarding critical capabilities and transformation in frontline services, our work in the United Kingdom includes addressing some of the most complex problems in defence, healthcare, government, safety and security, and transportation. Working together as Team Leidos we are helping to transform the UK's defence supply chain by providing an integration of a complex mixture of services, at low risk, using a modern suite of systems that will deliver one version of the truth. For the first time, the MOD will see the whole picture, as it is happening. What Makes Us Different: Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire change. Collaboration: having flexibility to do your job is one of our core benefits, enabling you to become part of our extraordinary team. We have been empowering our people to work flexibly for years. Whether you work from home, the office or on customer sites, we will give you the digital tools and the flexibility to work smarter and align your needs and ours. People: Leidos empowers people from every background to be themselves and gives you the tools to learn new skills by enabling growth whilst developing. We believe that extraordinary people need opportunities to grow, to be inspired and to inspire others. At Leidos, we invest in technical academies, career rotations and a career development plans that that enhance your future. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares. For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. £36,900.00-£46,100.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit _. Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at _. Securing Your Data Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at _. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the _. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws. #Remote

Mimica's mission is to empower enterprises, teams, and individuals to reclaim their most precious resource — time and work more efficiently, with greater purpose and impact. Our AI-powered task mining observes employee actions across the desktop and categorizes them into detailed process maps. Mimica’s process intelligence highlights inefficiencies, prioritizes improvements based on ROI, recommends the optimal technology for automation (RPA, intelligent document processing, GenAI), and provides a blueprint for building new automations and transforming work. Visit our _ to learn more. We are looking for a Quality Engineer to help us build a faster, and more reliable testing and release processes for one of our latest product engineering teams. You will work closely with Software and Machine Learning Engineers to establish the quality foundations for a product characterised by dynamic, non-deterministic outputs. The team is a newly formed multidisciplinary team of 5 responsible for the conversational AI components across our WebApp. As the team’s founding Quality Engineer, you will play a central role in defining how we approach quality from the outset. You will introduce thoughtful, pragmatic practices that increase confidence in releases, reduce remediation and rollback work, and enable the team to move quickly without compromising user trust or product reliability. You will have meaningful ownership from day one: exploring testing approaches, identifying quality gaps, and helping shape the systems and processes that support sustainable delivery. This is an opportunity for someone who thrives in ambiguity, combines hands-on technical testing with experimentation, and wants to define quality engineering at the intersection of software development and LLM-powered products. Develop and evolve quality practices, test strategy, and release processes for the Chatbot product. Help establish and run an output-evaluation framework for assessing Chatbot quality, reliability, and regressions. Test dynamic and non-deterministic LLM-based systems, designing pragmatic approaches for validating behaviour beyond conventional deterministic test cases. Identify, test, and improve guardrails for AI-specific risks, including prompt-injection scenarios and unsafe or unexpected model behaviour. Partner with engineers through code reviews, technical discussions, and collaborative debugging to improve quality earlier in the development lifecycle. Investigate current testing gaps, research relevant methods and tools, and make evidence-based recommendations to the team. Design proof-of-concepts for new testing approaches or tooling, then help productionise the solutions that create the most value. Support the evolution of release testing, including clearer quality signals and release-readiness criteria. Contribute performance-testing thinking for LLM-powered workflows where relevant. Share knowledge, facilitate technical discussions, and build the Quality Chapter across the wider engineering organisation. Strong hands-on experience in software quality engineering, SDET, test automation, or a closely related engineering role. Experience testing chatbot, conversational AI, RAG, LLM-powered, or other systems with dynamic and non-deterministic behaviour; even early practical exposure is valuable. Proficiency in at least one programming language and enough technical depth to understand production code, contribute to code reviews, and collaborate effectively with software engineers. An experimental, investigative mindset: you can explore an uncertain problem space, assess alternatives, and turn findings into practical improvements. Clear written and verbal communication, including the ability to explain technical concepts, testing risks, design choices, and trade-offs. Strong collaboration skills and a pragmatic approach to working with Product, Engineering, and ML colleagues. Good judgement in prioritising quality work based on risk, user impact, and delivery goals. Experience with AI security and safety testing. Experience testing conversational AI, chatbot platforms, or agentic workflows. Experience as the first Quality Engineer in a team. Experience mentoring engineers or influencing testing practices across a cross-functional team. Keeps pace with industry developments and actively fosters knowledge sharing by bringing new tech trends and methodology back to the team Stage 1 | Recruiter Screen (30 mins) Stage 2 | HM Interview (45 mins) Stage 3 | Take-home + Live Follow-up (60 mins) with members from the Chatbot team + Quality Chapter. Stage 4 | Behavioral Interview (60 mins) with Co-founder/CTO + Lead Quality Engineer This is a fully remote position. You can be based anywhere in the UK, Americas, or Europe within a UTC-5 to UTC+1 timezone. Generous compensation + stock options - aligned with our internal framework, market data, and individual skills. Distributed work: Work from anywhere - fully remote, in our hubs, or a mix. Company-issued laptop, remote setup stipend, and co-working budget Flexible schedules and location ☀️ Ample paid time off, in addition to local public holidays Enhanced parental leave ‍♀️ Health & retirement benefits Annual learning & development budget Annual workaways and regular virtual & in-person socials Opportunity to contribute to groundbreaking projects that shape the future of work Note: Some benefits may vary depending on location and role ⚠️ Mimica will only contact candidates from an @mimica.ai email address. We do not request banking or sensitive personal information during the recruiting process.

Job Title: Data Engineer Location: UK Job Type: Full-time Scrumconnect is a leading force in technology consultancy, proudly contributing to over 20% of the UK’s most significant citizen-facing public services. Our award-winning team has made a substantial impact, delivering more than 64 services in the past two years alone. This work has not only reached over 50 million citizens but also achieved considerable savings for the taxpayer, amounting to over £25 million. At Scrumconnect, we foster a community of talented consultants who thrive on collaboration, sharing knowledge, and continuous learning to address and solve complex challenges. Our mission is to combine advanced software engineering, human-focused design, and data-driven insights to deliver unparalleled service to our clients. We are looking to fill the position of Data Engineer to help develop and maintain data products. Data Engineering teams are responsible for the delivery and operational stability of the data products built and provide ongoing support for those products. Data Engineers work within, and contribute to, the overall data development lifecycle process as part of multi-functional Agile delivery teams focused on one or more products. Role: Design, build, and operate simple, repeatable ETL data pipelines within distributed processing environments and cloud platforms, as well as localized single-node processing environments. Develop and produce prototyped then productionized code that can be deployed across a range of ETL, data validation, and other data production processes. Develop understanding of the native tooling of one or more of: GCP, Azure, AWS. An intermediate or better level coding in one or more mainstream coding languages (i.e., Python, SQL, Java, Scala, and R), and critically review the code of other data engineers. Develop code for a range of data products including data matching, rule development, scans, operational outputs. Participate in development and maintenance of in-house code libraries. Undertake unit testing to support common code development. Review business requirements to ensure they are clear and robust, and transform requirements into reusable production-ready code and/or effective data models. Understand the key principles of database design and be able to resolve technical problems in databases, data processes, data products, and services as they occur. Initiate actions, monitor services, and identify trends to resolve problems. Apply correct techniques in normalizing data and building robust relational structures in database products. Undertake basic data analysis, for example, for data profiling, QA, or problem resolution. Support queries from end users on data quality issues affecting data production; communicate issues and blockers to develop solutions. Undertake source system analysis and data profiling to confirm data quality and ensure accurate metadata. Understand relevant data sources, tools, and systems. Work with experts to develop validation frameworks for both simple and complex data sources. Communicate with customers, for example, to update on progress or confirm requirements. Using a working knowledge of cloud data engineering tools in assisting with the development of data pipelines, products, and automation processes. Work with other team members in development of tool performance logging and monitoring. Work with other team members in applying engineering team and community best practice in data products and pipelines. Experience predicting and advising on technology changes in the engineering toolset(s) and platform(s) you work on. Work with the team in implementing the transition to modern data platforms including Data Warehouse, Lakehouse, across the data products, pipelines, and processes you are responsible for. Engage with other professional communities (Data Science, Architecture, etc.) to identify emerging and cross-community issues affecting your role and escalate as necessary. Describe technical, data, pipeline, and production issues to colleagues of different specialisms. Communicate within the team and across teams to monitor expectations around delivery of data engineering, products, and pipelines, blockers, priorities, and issues. Escalate issues and blockers in delivery proactively. Familiar with developing data pipelines and products for very large volume 'big data' series using a range of native engineering tools and practices and coding approaches. A working knowledge of engineering standards across a platform and native toolset. Experience implementing these standards in the day-to-day role and keeping outputs up-to-date with these. Typical Data Engineering Experience required (5+ yrs): Knowledge and experience of Azure/AWS Cloud data solution provision. Proficient in SQL. Ability to develop and deliver complex visualisation, reporting and dashboard solutions using tools like Power BI. Enterprise-scale experience with ETL tools (Informatica and or similar). Experience of data modelling and transforming raw data into datasets and extracts. Experience of working in a large project /scale complex organisation and knowledge of migrating legacy capabilities. Experience in Agile. Ability to analyse and collect information and evidence, identify problems and opportunities, and ensure recommendations fit with strategic business objectives. Experience of building team capability through role modelling, mentoring, and coaching. Ability to manage relationships with non-technical colleagues and can work in a collaborative, inclusive way. Ability to design, write, and operate ETL pipelines, in the context of distributed processing, applying coding, data, and documentation standards, in the language required by the business area. Understanding of the principles of data processing in a distributed and or cloud platform, and ability to use this understanding to ensure robust coding in a distributed or cloud environment. Able to write clean, efficient and well documented code for data processing tasks to a specification. Able to use Git for code version control to pull and push and review merge requests for team and own code. Ability to undertake simple data and code analysis for effective quality assurance and to resolve processing issues. Ability to undertake simple data and code analysis for effective quality assurance and to resolve processing issues. Experience of one or more programming/coding languages listed: Python/PySpark, SQL, Proc SQL, NoSQL, MySQL, SQLite, Spark SQL, Hive SQL, PostgreSQL, SAS, SAS E-guide, Scala, RegEx, Java, R Investigate problems in systems, processes and services, with an understanding of the level of a problem, for example, strategic, tactical or operational. Undertake data profiling and source system analysis for data evaluation, issue resolution or data standardisation. Use metadata repositories to complete complex tasks such as data and systems integration impact analysis. Good knowledge of database structures, practices, principles of database integrity etc. Basic knowledge of applying database principles and SQL coding across a range of platform database and data querying tools (i.e. SQL Server, Cloud SQL, Big Query, Hive, Athena etc.) Show an awareness of opportunities for innovation with new tools and uses of data. Experience in more than one of the following tools is required for Engineers engaging in BI development: Plotly, R Shiny, Tableau, QlikView/Qlik sense, Power BI, SAP, Business Objects, MicroStrategy Experience of several of the following tools: NiFi, Hbase, Bash, Assist, Putty, Neo4J, Spark , Kafka, HDFS, Oozie, Git Hub, Unix, Hadoop, Impala, DoJo, Flume, Elastic, Logstash, Kibana, Airflow, Glue, Big Query, Athena, CML, Hive, Informatica, CuteFTP Ability to explain and communicate technical concepts in non-technical language. Explain the types of communication that can be used with internal and external stakeholders, and their impact. Design, build and test data products based on feeds from multiple systems, using a range of different storage technologies, access methods or both. Able to explain and implement the concepts and principles of data modelling. Ability to create and run simple unit tests. Desired Qualifications Certifications in AWS, Azure, Databricks, or related technologies. Example _ Experience with public sector data initiatives and compliance requirements. Knowledge of machine learning and artificial intelligence concepts. Your working time at Scrumconnect will be split between multiple locations, including from our HQ and hub locations, client site or home. Travel requirements vary in frequency and take into account requirements of your work, our clients and the team. We welcome candidates from all identities, attributes and backgrounds to thrive with us. The diversity of our people should be reflected in the impact we deliver. Join us at Scrumconnect, where your highly demonstrable skills and expertise will drive the future of user-centred design in public services.

Join the team redefining how the world experiences design. Servus, hey, g'day, mabuhay, kia ora, 你好, hallo, vítejte! Thanks for stopping by. We know job hunting can be a little time consuming and you're probably keen to find out what's on offer, so we'll get straight to the point. Where and how you can work Our flagship campus is in Sydney, Australia but Austria is home to part of our European operations. And you have choice in where and how you work, we trust our Canvanauts to choose the balance that empowers them and their team to achieve their goals. Fun fact, a big part of our Austrian operations is developing the AI product within Canva to help reimagine how artificial intelligence can be used in design. Pretty cool ha! At Canva, our mission is to empower the world to design. We’re building AI that feels magical and lands real impact for millions of people - helping anyone create with confidence. We're looking for a Machine Learning Engineer to own the data foundations that power our multimodal agent research—building the pipelines, datasets, and tooling that turn ambitious research ideas into trainable reality. About the team We explore multimodal agentic architectures, build scalable training and evaluation loops, and partner closely with product and platform teams to turn breakthroughs into delightful product features. We are a cutting-edge post-training team, developing new multimodal agentic systems. We work on all topics of multimodal modelling, post-training and design agents, we build scalable training and evaluation loops, and partner closely with product and platform teams to turn breakthroughs into delightful product features. About the role You'll be responsible for the data lifecycle that fuels our agent research: from collection and curation through to preprocessing, quality assurance, and delivery into training pipelines. You'll work closely with research scientists to understand what data is needed, then design and build the systems to make it happen—reliably and at scale. You'll have significant autonomy over how data problems get solved, while aligning on what problems matter most with the broader team. What you'll do Design and build data pipelines for agent training: collection, filtering, deduplication, formatting, and versioning across text, image, and multimodal sources. Build and maintain infrastructure for efficient data loading, storage, and retrieval at scale (S3, distributed systems, streaming pipelines). Collaborate with research scientists to translate research requirements into concrete data specifications, and iterate as experiments reveal new needs. Create evaluation datasets and benchmarks in collaboration with researchers—curating task distributions that surface real failure modes. Develop tooling for dataset construction—including human annotation workflows, synthetic data generation, and preference data collection for RLHF/DPO-style training. Own data quality: build validation frameworks, monitor for drift and contamination, and establish standards that make datasets trustworthy and reproducible. Document datasets thoroughly: provenance, known limitations, intended use cases, and versioning history. Implement comprehensive test coverage for data pipelines and ML workflows, ensuring reliability and catching regressions early. Elevate codebase quality through code reviews, refactoring, and establishing engineering best practices that help research velocity scale sustainably. Contribute to team roadmaps by identifying data bottlenecks and proposing solutions that unblock research velocity. You're likely a match if you have Strong software engineering skills in Python, with experience building production-grade data pipelines and ML DevOps. Practical experience with prompt engineering—designing, testing, and refining prompts for reliable LLM/VLM outputs. Experience with ML data workflows: large-scale data processing and loading (Ray, or similar), data versioning, and format considerations for training (tokenization, batching, sharding). Hands-on experience working with data pipelines for large-scale distributed ML training runs. Familiarity with annotation tooling and human-in-the-loop data collection (Label Studio or internal systems). Understanding of ML training requirements—you know what "good data" looks like for LLM/VLM fine-tuning and can anticipate downstream issues. Experience loading and writing large datasets to/from cloud infrastructure (AWS) and distributed storage systems. Strong communication skills: you can work with researchers to scope ambiguous problems and translate needs into actionable plans. A collaborative approach, comfortable taking ownership and iterating quickly. Nice to have Experience with preference data collection for RLHF or reward modelling. Familiarity with multimodal data (image-text pairs, video, design assets). Experience building synthetic data generation pipelines using LLMs. Background in data quality metrics and monitoring systems. Contributions to dataset releases or benchmarks in the ML community. What's in it for you? Achieving our crazy big goals motivates us to work hard - and we do - but you'll experience lots of moments of magic, connectivity and fun woven throughout life at Canva, too. We also offer a range of benefits to set you up for every success in and outside of work. Here's a taste of what's on offer: • Equity packages - we want our success to be yours too, • Inclusive parental leave policy that supports all parents & carers, • An annual Vibe & Thrive allowance to support your wellbeing, social connection, office setup & more, • Flexible leave options that empower you to be a force for good, take time to recharge and supports you personally Check out _ for more info. Other stuff to know We make hiring decisions based on your experience, skills and passion, as well as how you can enhance Canva and our culture. When you apply, please tell us the pronouns you use and any reasonable adjustments you may need during the interview process. We celebrate all types of skills and backgrounds at Canva so even if you don’t feel like your skills quite match what’s listed above - we still want to hear from you! Please note that interviews are conducted virtually.

Full Stack Engineer / Developer (JavaScript TypeScript ISO 27001) WFH / London to £75k Are you a security focussed Full Stack Developer looking for an opportunity to progress your career? You could be working on Tech for Good application for the healthcare sector that utilises AI and Machine Learning techniques to help prevent patients from experiencing health crisis. As a Full Stack Developer you'll collaborate with a small team working on internal tools and data platforms, with a focus on refactoring code, implementing robust security practices and scalable architectures. You'll use a range of technology, primarily JavaScript on the backend and TypeScript on the frontend, you'll build secure, responsive user interfaces, implement RESTful APIs, optimise database queries for performance and ensure solutions are highly scalable and maintainable. This is a great opportunity to join a scaling start-up in a role that you can shape and influence. Location / WFH: You can work from home most of the time, meeting up with colleagues in the London office once a month / quarter. About you: • You have strong full stack development experience with JavaScript and TypeScript, • You have a strong appreciation of RDBMS, security data architecture and ISO 27001, • You are collaborative, enjoy problem solving and are proactive in getting things done, • You've previously worked in start-ups or small software companies in unstructured environments, • You have achieved a 2.1 or above at BSc in Computer Science or similar technical discipline What's in it for you: As a Full Stack Developer you will earn a competitive package: • Salary to £75k, • Remote first, flexible working with occasional team meet-ups, • Private Healthcare, • Pension, • Opportunity to make a difference, working on Tech for Good Apply now to find out more about this Full Stack Developer / Engineer (JavaScript TypeScript) opportunity. At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.

About TetraScience TetraScience is the Scientific Data and AI Company building Tetra OS, the operating system for scientific intelligence. We help the world’s leading life sciences firms turn fragmented scientific data into AI-native assets and scientific workflows that accelerate discovery, development, and manufacturing. TetraScience’s growing ecosystem of strategic partners includes NVIDIA, Databricks, Thermo Fisher Scientific, Snowflake, Google, and Microsoft. In connection with your candidacy, you will be asked to carefully review “_,” authored by our CEO, Patrick Grady; it is impossible to overstate the importance of this document, and you should take it literally as you decide whether our mission, culture, and expectations are right for you. What You Will Do TetraScience is looking for a Technical Enablement Lead / Developer Relations Lead for the EU. The ideal candidate should have expertise in customer and field enablement, adult learning principles, educational program creation, use case architecture and implementation, and a genuine passion for Data and AI technologies. The candidate should be driven by a desire to educate and inspire, and have the technical skills to quickly prototype new ideas and solutions. And finally, the candidate should seek to ensure developers can be successful with minimal friction, and champion product and process changes that make this a reality. You will work to understand the needs of different user personas (data scientists, machine learning engineers, scientists and R&D IT analysts), analyze their data environment, assist in the design and implementation of self-service solutions, and create training artifacts to accelerate adoption and growth. This is a technical enablement role, interfacing between internal and external stakeholders including; sales teams, technical teams, customers and potential customers. Your expertise not only covers the technical aspects of data integration, storage, access and architectures but also includes the skills to convey complex technical concepts in a way that aligns with business needs and potential solutions. Your work will directly impact how developers adopt TetraScience’s Scientific Data & AI Cloud, leverage new platform capabilities, and innovate in our ecosystem. You’ll collaborate closely with Product, Platform Engineering, Field Engineering, Customer Engagement & Support, Sales, and Marketing teams to empower customers, technical field team members, and all customer-facing technical roles through exceptional enablement programs. You’ll set the strategy for EU developer experience and community, including partners, customers, and independent developers; and be responsible for how developers discover, onboard, build, and scale applications. This role will be pivotal in growing our developer ecosystem, gathering crucial feedback to inform product development. Your work will educate and inspire the biopharmaceutical industry as to the power of an open ecosystem where precisely engineered scientific data flows freely and without restrictions. Your success in this role will directly shape TetraScience's growth trajectory and market position while ensuring our platform is accelerating science and patient outcomes across countless use cases. Responsibilities • Scientific & Domain Expertise, • Deep understanding of pharmaceutical/life sciences R&D workflows, data, and scientific principles, • Ability to engage credibly with data scientists, lab scientists, and R&D IT stakeholders, • Technical Skills, • Able to code and build practical solutions using scientific data platforms, pipelines, and apps, • Translate complex technical problems into working implementations within a pharma context, • Training & Enablement, • Design and deliver in-person training sessions, workshops, and demonstrations for both technical and non-technical audiences, • Create supporting materials: tutorials, documentation, sample code, and best practice guides, • Communication & Collaboration, • Translate technical and scientific concepts into clear, accessible language for non-technical stakeholders, • Collaborate with Product, Engineering, and UX teams to surface customer feedback as actionable requirements Must Have: • 2+ years professional experience in a Life Sciences company and/or a scientific background, • 3+ years professional experience as data scientist, scientific data engineer, or solutions architect, • 2+ years professional experience in technical enablement and/or developer relations, • Solid experience running large scale enablement programs, and how to evangelize and roll out the programs effectively across the organization, • Exceptional communication, storytelling, and presentation skills, coupled with a strong executive presence and the ability to effectively influence and engage large audiences, • Strong technical background with hands-on experience in SQL, Python, and modern data stack technologies, • Deep understanding of drug discovery, development, and manufacturing processes, • Ability to travel regularly to customer locations and whiteboard the product strategy with them, • Experience with data governance, privacy, and compliance considerations, • Exceptional stakeholder management skills with ability to influence C-level executives, • Ability to deal with ambiguity and thrive in a constantly changing and evolving work environment, • Experience working with high-bandwidth and high-energy professionals, • Insatiable curiosity to learn, develop, and grow year-over-year, • Great interpersonal skills and an ability to coordinate and drive initiatives supporting multiple teams Nice To Have: • Experience at high-growth SaaS companies with complex data needs, • Previous experience as a practicing bench scientist is highly valued, • Previous experience within a biopharma company in an IT related function is a big plus, • Background in technical support / field service highly valuable - this demonstrates your ability to internalize complexities and tailor explanations for a given audience, • Familiarity with enterprise sales processs within the pharmaceutical sector, • Experience with AWS application stack, • Competitive Salary and equity in a fast-growing company., • Supportive, team-oriented culture of continuous improvement., • Generous paid time off (PTO)., • Flexible working arrangements - Remote work. We are not currently providing visa sponsorship for this position

Who we are: Sardine is the leading agentic risk platform for fighting financial crime. Our integrated solution unifies data across risk teams to help organizations stop fraud in real time, prevent AI-driven attacks, and automate fraud and AML operations. Sardine’s platform is strengthened by one of the fastest-growing fraud consortiums in the market, spanning more than 6 billion profiled devices, 800 million consumers, and 3 million businesses worldwide. Leading companies including FIS, GoDaddy, Intuit, Edward Jones, ZoomInfo, and _ rely on Sardine to secure and grow trust in their products. Our culture: We have hubs in the Bay Area, NYC, Austin, Toronto, and São Paulo. However, we maintain a remote-first work culture. #WorkFromAnywhere We hire talented, self-motivated individuals with extreme ownership and high growth orientation. We value performance and not hours worked. We believe you shouldn't have to miss your family dinner, your kid's school play, friends get-together, or doctor's appointments for the sake of adhering to an arbitrary work schedule. Location: Remote - UK, Germany, Ireland, Spain, Poland, Bulgaria or Lithuania From Home / Beach / Mountain / Cafe / Anywhere! We are a remote-first company with a globally distributed team. You can find your productive zone and work from there. About The Role As a Machine Learning Engineer, you’ll do more than build models - you’ll design the systems that make fraud detection possible. You’ll work across modeling, data pipelines, and backend systems (Go) to ensure ML models run reliably, efficiently, and at scale. This is a chance to combine applied ML with large-scale systems engineering, owning end-to-end solutions that tackle high-stakes, ever-evolving challenges. What you’ll be doing: Build and optimize data pipelines and backend services to process device and behavioral data in real time. Develop and deploy ML models for fraud detection, ensuring they run reliably and efficiently in production. Turn raw data into production-ready features that feed our fraud detection systems. Collaborate with platform and backend engineers to integrate models seamlessly. Maintain high standards of security, privacy, and compliance. Champion best practices in testing, documentation, and observability. What you’ll need: Hands-on experience with applied ML using large datasets (PyTorch, Scikit-learn, etc.). Strong SQL skills and familiarity with relational and non-relational databases. Experience with end-to-end ML systems: feature pipelines, model deployment, monitoring, and iteration. Excellent communication skills in English, both written and verbal. Bachelor's or Master's in Computer Science, Engineering, or a related discipline. Bonus Points Domain knowledge in fraud, risk, or cybersecurity. Background in Software Engineering Familiarity with CI/CD, Docker, Kubernetes and the modern devops framework. Understanding of modern browser APIs and high-entropy data collection techniques. Familiarity with leveraging frontier LLMs for automation. Benefits we offer: Generous compensation in cash and equity Early exercise for all options, including pre-vested Work from anywhere: Remote-first Culture Flexible paid time off and Year-end break Health insurance, dental, and vision coverage for employees and dependents - US and Canada specific 4% matching in 401k / RRSP - US and Canada specific MacBook Pro delivered to your door One-time stipend to set up a home office — desk, chair, screen, etc. Monthly meal stipend Monthly social meet-up stipend Annual health and wellness stipend Annual Learning stipend Join a fast-growing company with world-class professionals from around the world. If you are seeking a meaningful career, you found the right place, and we would love to hear from you. To learn more about how we process your personal information and your rights in regards to your personal information as an applicant and Sardine employee, please visit our _.

Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we’re backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at and follow us on and _. We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity We build Tempo, the open-source distributed tracing backend behind Grafana Cloud Traces and Grafana Enterprise Traces (GET). Tempo makes it easy to search traces, generate metrics from spans, and connect tracing data with logs, metrics, and profiles across the Grafana stack. 2026 is an inflection point for Tempo. After a major architectural upgrade and the launch of TraceQL metrics, we are shifting from foundational work to product and operational excellence, and evolving Tempo from a SaaS database into a platform that powers Grafana’s next generation of observability products (App Observability, Asserts, Traces Drilldown, and AI-driven assistants). Over the next year, you will help us: • Make Grafana Cloud Traces “just work” for customers by eliminating rough edges, confusing limits, and hidden failure modes., • Achieve operational excellence at scale as we grow from close to 50 cells today into triple digits this year, with autoscaling, parameterized rollouts, and aggressive toil reduction., • Evolve Tempo into a platform enabler: higher-density APIs, trace aggregation, TraceQL metrics math, and machine/LLM-friendly interfaces that downstream products and agents can build on., • Push performance further: faster query latency at hundreds of MB/s ingestion and performant 30-day query ranges to match competitors., • Prepare Tempo for an agent-driven world: larger, burstier, higher-cardinality workloads, and new categories of AI-powered workflows, such as assistant-driven triage and “why is this slow?”- style investigations. What You'll Be Doing: As a Staff Engineer on Tempo, you will set technical direction on the hardest problems in our roadmap and raise the bar across the team. • Lead multi-quarter technical initiatives from problem framing through rollout, e.g., trace aggregation APIs, Limitless Tempo, autoscaling cells and customer limits, or query engine improvements., • Own the architecture of core Tempo components: ingestion, storage, query, and metrics generation. Drive design reviews, make sharp trade-offs on performance, cost, and complexity, and document the “why” for the team., • Design APIs for humans and agents. Shape the next generation of Tempo’s interfaces (structured, deterministic, discoverable) so that Act 3 products, LLM-driven assistants, and external integrators can build on Tempo reliably., • Drive operational excellence. Own outcomes against concrete SLOs (P99 write latency, incident recurrence, TCO per ingested GB) and push the team toward Zero Ops through automation, parameterized rollouts, and actionable alerts., • Partner with Product and sibling teams. Work closely with PMs and with App Observability, Asserts, Drilldown, and Grafana Assistant teams to understand how Tempo gets consumed and to ship what unblocks them., • Mentor engineers. Raise the engineering bar through code review, design feedback, pairing on hard problems, and writing that leaves the team smarter than you found it., • Participate in on-call for the services you help build, and be a force multiplier in incident response and post-incident learning., • Contribute to open source. Tempo is OSS. You will engage the community, review external contributions, and help steer the project in the open. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards. You’ll also have access to frontier models (e.g., GPT-5.6, Claude Fable, Gemini Pro 3.1). Example problems you could work on: These are the kinds of projects landing in 2026. Any one of them is a Staff-sized problem: • Trace aggregation and higher-density APIs: extend TraceQL metrics, design LLM-friendly response types, and make Tempo a first-class data source for Grafana’s AI assistant., • Autoscaling end to end: customer limits and Tempo cells, with hysteresis, predictive scaling for spikes, and safe scale-down., • Agent-scale ingestion and query: guardrails for bursty, high-cardinality, agent-generated workloads., • Query performance: new data formats, smarter query pipelines, targeted optimizations for common Drilldown and Traces workflows, and 30-day query ranges., • Rollouts and multi-cell operations: parameterized rollouts, push-button deploys, and the tooling to grow safely into triple-digit cell counts without a proportional increase in alert noise., • Limits and self-service: drive customer-facing configuration and observability so escalations trend toward zero. What Makes You a Great Fit: • Technical leadership. A track record of leading complex, multi-quarter initiatives that spanned design, delivery, and operations, and made the teams around you better., • Deep systems experience. Substantial hands-on experience building and operating distributed data systems in production: ingestion pipelines, storage engines, query execution, or similar., • Strong software craftsmanship. You write clean, robust, performant software that others can maintain, and you know when to optimize vs. when to ship., • Strong Go, or a path to it. We write Tempo in Go. Deep experience in other systems languages (Rust, C, C++) translates well., • Operational mindset. You’ve owned production services, carried a pager, reduced toil, and treated SLOs as a product feature, not a chore., • Customer focus and pragmatism. You break complex problems into short feedback loops: analyze, design, deliver an MVP, learn, iterate., • Leadership through writing and collaboration. You lead through design docs, reviews, and shipped code, not hierarchy. You communicate clearly in a fully remote, asynchronous environment. Bonus Points for: • Experience with tracing, OpenTelemetry, or large-scale observability systems., • Experience designing query languages, SQL/TraceQL-like engines, or APIs intended to be consumed programmatically (by services or agents)., • Experience with columnar storage formats (e.g., Parquet) or purpose-built on-disk formats for analytical workloads., • Experience operating multi-tenant, multi-cell SaaS infrastructure at scale on Kubernetes., • Experience building for AI/LLM consumers: structured APIs, metadata/discovery endpoints, deterministic outputs, evaluation harnesses., • Open-source contribution or maintainership, and comfort engaging a community in the open., • Experience as an on-call user of Grafana, Prometheus, Loki, or Tempo in a previous role (or on a homelab)., • Experience in a fully remote, globally distributed team. How we work: We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our Staff engineers, to contribute ideas that make it a more reliable, more useful, and more loved product. Compensation & Rewards: In the United Kingdom, the Base compensation range for this role is GBP 103,958 - GBP 124,750. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed _. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: • 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose., • Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment., • Transparent Communication – Expect open decision-making and regular company-wide updates., • Innovation-Driven – Autonomy and support to ship great work and try new things., • Open Source Roots – Built on community-driven values that shape how we work., • Empowered Teams – High trust, low ego culture that values outcomes over optics., • Career Growth Pathways – Defined opportunities to grow and develop your career., • Approachable Leadership – Transparent execs who are involved, visible, and human., • Passionate People – Join a team of smart, supportive folks who care deeply about what they do., • In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it., • Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our .

Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $2B in revenue in our last fiscal year with extensive growth potential ahead. At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company – we made history in 2021 by becoming a _ (PBC), legally bound to balancing the interests of customers, employees, society, and investors. As a _ company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment. Join us in _, committed to making a positive impact on its customers, employees, and communities. The Role Veeva Link supports the life sciences industry to connect with key people to improve research and care. It helps professionals to find the right people for, e.g., clinical trials, education programs, or advisory boards. This streamlined access helps to reduce the time-to-market of important drugs, conduct trials with the most relevant experts in the respective field, and spread information about new treatments to key people in the life science community. You can read more about Veeva Link on our product pages at _. As a data engineer, you focus on our data pipelines and take responsibility for a major part of the Link data processing platform. We value end-to-end ownership, which puts you into the sweet spot of finding, designing, and implementing improvements to the product's data pipelines and adjusting them to changing demands of the market. You take responsibility for features and innovation using SOLID and clean software principles, take part in the architectural enhancement process and care for the quality of the outcome. Monitoring, metrics, and general observability are part of the feature design process. We hire the same role for different engineering domains: Sourcing, Tagging, Matching, and Provisioning. Depending on the engineering domain, you will focus on different aspects. We decide together which domains fit best for you. \n What You'll Do • Work on Veeva Link’s next-gen Data Platform, • Improve our current environment with features, refactoring, and innovation, • Work with JVM-based languages or Python on Spark-based data pipelines, • Operate ML models in close cooperation with our data science team, • Experiment in your domain to improve precision, recall, or cost savings Requirements • Expert skills in Java or Python, • Experience with Apache Spark or PySpark, • Experience writing software for the cloud (AWS or GCP), • Speaking and writing in English enables you to take part in day-to-day conversations in the team and contribute to deep technical discussions Nice to Have • Experience with operating machine learning models (e.g., MLFlow), • Experience with Data Lakes, Lakehouses, and Warehouses (e.g., DeltaLake, Redshift), • DevOps skills, including terraform and general CI/CD experience, • Previously worked in agile environments, • Experience with expert systems Perks & Benefits • Comprehensive benefits package, • Annual allocations for continuous learning, development & charitable contributions, • Fitness reimbursement, • Veeva Work-Anywhere \n #RemoteUK Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world. As an equal opportunity employer, Veeva is committed to fostering a culture of inclusion and growing a diverse workforce. Diversity makes us stronger. It comes in many forms. Gender, race, ethnicity, religion, politics, sexual orientation, age, disability and life experience shape us all into unique individuals. We value people for the individuals they are and the contributions they can bring to our teams. If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us at _.

Spotify is on an ambitious path to reach one billion users and $100 billion in revenue, and the Subscriptions User Understanding team plays a key role in making that possible. Our team builds the foundational data platform that helps Spotify understand conversion, retention, engagement, and subscriber health for more than 200 million Premium subscribers around the world. We enable better decisions across analytics, experimentation, machine learning, and product development. We're looking for a Staff Data Engineer who combines deep technical expertise with strategic thinking. You'll help define the long-term direction of our data ecosystem, influence engineering across multiple teams, and build the foundations that will scale with Spotify's future. • Define and drive the long-term data engineering strategy for the Subscriptions User Understanding domain, identifying opportunities that improve scalability, reliability, and business impact., • Design scalable batch and streaming data platforms that power analytics, experimentation, machine learning, and subscriber experiences., • Partner with Product, Engineering, Data Science, Analytics, and Platform teams to turn complex business challenges into durable, well-designed data solutions., • Lead architectural decisions and establish engineering best practices for data quality, governance, observability, reliability, and operational excellence across multiple squads., • Design data models and platform architecture that support sustainable growth toward one billion users while balancing performance, cost, and maintainability., • Simplify complex systems, reduce technical debt, and improve the developer experience across the broader data ecosystem., • Mentor senior engineers, influence technical direction through collaboration, and help foster a culture of thoughtful engineering, knowledge sharing, and continuous improvement., • You enjoy solving broad, cross-cutting engineering challenges and bringing teams together around a shared technical vision., • You have extensive experience designing, building, and operating large-scale cloud-native data platforms., • You have deep experience building reliable distributed data pipelines using technologies such as Scio, BigQuery, Dataflow, GCS, SQL, Python, or similar cloud-native tools., • You have a strong understanding of modern data modeling, metadata management, governance, and data quality practices., • You know how to balance immediate business needs with long-term architectural sustainability., • You influence technical direction through strong communication, sound judgment, and collaboration rather than formal authority alone., • You communicate effectively with engineers, product managers, data scientists, analysts, and senior leadership., • You enjoy mentoring engineers and helping technical teams grow through coaching, technical guidance, and thoughtful feedback., • You are motivated by building platforms that directly influence Spotify's long-term subscriber growth and business success., • We offer you the flexibility to work where you work best! For this role, you can be within the EMEA region as long as we have a work location (excluding France due to on-call restrictions)., • This team operates within the Central European and GMT time zone for collaboration. Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Find our AI notice here: https://lifeatspotify.com/ai-notice

Divisional Chief Engineer An experienced Chief Engineer is required to take on this exciting Divisional Chief Engineer role. This person will lead and/or manage works of other technical staff that has significant impact on the portfolio’s results/outputs predominately fills this role. With a focus on delivery and operation, the Divisional Chief Engineer contributes to the development of solutions that influence strategic project/programme goals and business results. They have thorough understanding of advanced technical principles, theories, and concepts, they recommend and collaborate in the development of new technical solutions and/or standards in support of strategy and operations. The successful candidate will be a natural self-starter and team motivator who will guide the technical team to deliver upon Leidos commitments. They are a leader and champion in technical delivery with the experience to back up their decisions and actions, preferably hands on at a high level. You will work with field leading subject matter experts who will provide detailed designs and with supporting functions within the division such as programme management, business, financial and senior leadership. The Divisional Chief Engineer is responsible for the efficient and effective delivery of engineering across all bids and programmes within the Civil Division of Leidos UK. That includes all proposals and contracts that are not related to National Security, Defence or Intelligence. Instead, they are focused on other mission-critical customers whether Government or pseudo-government, devolved government, Air Traffic Control, the Environment Agency, NHS Supply Chain etc. Core skills and behaviours: Drives the team towards delivery by shaping and encouraging the team to achieve outcomes Significant experience in delivery of complex technical deliverables, preferably in Air Traffic Management using a diverse engineering and technology team Significant experience in breaking down technical deliveries into manageable and trackable parts. Experience in lifecycle methodologies, technical governance and technical solutions. Experience of technical business analysis or systems engineering, including requirements management and Model-Based Systems Engineering. Experience of large-scale integrations, service orientated architecture and key technologies. Keen technical advocate and self-learner up to date with the latest technology and innovations; encourages and inspires those around them. Proven experience leading complex, multi‑disciplinary engineering programmes with significant technical and business impact Authority in Concept of Operations (ConOps) development, shaping solutions from early concept through delivery and operation. Strong background in systems engineering, including requirements analysis, requirements management, and technical assurance Experience providing technical leadership and governance, guiding engineering teams and influencing senior stakeholders Demonstrable expertise in systems integration and systems architecture, including large‑scale or safety‑critical environments Ability to decompose complex technical problems into manageable, measurable delivery plans Experience across the full engineering lifecycle, including lifecycle cost analysis, performance analysis, and trade studies Advanced capability in modelling, simulation, and evidence‑based technical decision‑making Strong understanding of data and information architectures and their role in system performance and delivery Ownership of configuration management, risk management, and technical compliance Excellent stakeholder management, with the credibility to challenge, influence, and advise at senior levels A recognised technical authority who mentors engineers and sets the standard for technical excellence Tools & Professional Practice Microsoft Office suite, with advanced use of Excel for analysis and reporting Microsoft Visio for system, architecture, and process modelling At Leidos we are PASSIONATE about customer success, UNITED as a team and INSPIRED to make a difference. We offer meaningful and engaging careers, a collaborative culture, and support for your career goals, all while nurturing a healthy work-life balance. We provide an employment package that attracts, develops and retains only the best in talent. Our reward scheme includes: • Contributory Pension Scheme, • Private Medical Insurance, • 33 days Annual Leave (including public and privilege holidays), • Access to Flexible benefits (including life assurance, health schemes, gym memberships, annual buy and sell holidays and a cycle to work scheme), • Flexi-Time working We welcome applications from every part of the community and are committed to a truly diverse and inclusive culture. We foster a sense of belonging, welcoming all perspectives and contributions, and providing equal access to opportunities and resources for everyone.If you have a disability or need any reasonable adjustments during the application and selection stages please let us know, and we will respond in a way that best fits your needs. Leidos UK & EUROPE– we work to make theworldsafer,healthier,andmore efficient through technology, engineering andscience. Leidosis agrowing company delivering innovative technology and solutions focused on safeguarding critical capabilities and transformation in frontline services, our work in the United Kingdom includes addressing some of the most complex problems in defence, healthcare, government, safety and security, and transportation. Purpose:you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire change. Collaboration:having flexibility to do your job is one of our core benefits, enabling you to become part of our extraordinary team. We have been empowering our people to work flexibly for years. Whether you work from home, the office or on customer sites, we will give you the digital tools and the flexibility to work smarter and align your needs andours. People:Leidos empowers people from every background to be themselves and gives you the tools to learn new skills by enabling growthwhilst developing. We believe that extraordinary people need opportunities to grow, to be inspired and to inspire others. At Leidos, we invest in technical academies, career rotations and a career development plans that enhance your future. #J-18808-Ljbffr

Backed by a16z and Salesforce Ventures, Sequence is reinventing the accounts receivable category, building a flexible toolkit to help B2B finance teams to scale their revenue collection infrastructure. The team behind Sequence has decades of experience building and operating category-defining marketplace, machine learning, fintech, and enterprise software companies. We are no ordinary start-up; the maturity of our leadership and technology means we are operating at a lightning fast pace. This is a fantastic opportunity to be a part of the next wave of innovation for the CFO office, doing your best work with talented, ambitious and creative teammates. Sequence is the ultimate billing and revenue stack for B2B companies. We help our customers design and iterate on their pricing and revenue flows, so they can stay completely focused on their mission without worrying about billing. At the end of your career, we want you to look back at your time with Sequence and say it was the best job you ever had. We're looking for software engineers with strong backend and cloud infrastructure experience to build the systems that power billing for modern B2B companies. You'll own revenue-critical infrastructure - the kind where correctness isn't negotiable and downtime isn't an option. Our usage events platform processes every merchant action that determines how their customers get billed, making it one of the most critical systems we run. You'll work on the evolution of this platform to handle exponential growth while maintaining perfect accuracy. This is a rare opportunity: you're joining early enough to make fundamental architectural decisions, but late enough that real customers depend on what you build. You'll design systems that process high-velocity event streams, make technical decisions that balance cost and performance at scale, and build infrastructure that never compromises on reliability. Own revenue-critical event infrastructure. You'll work on systems that process customer usage data on which billing and invoicing depend. Design event streaming pipelines that handle high throughput with low latency. Build robust systems where data accuracy is non-negotiable and uptime is measured in nines. Design scalable data systems. You'll work with event streaming architectures, building sophisticated ingestion pipelines and query optimization strategies. Our event volumes grow with every new customer, so you'll architect systems that scale efficiently while keeping costs reasonable. Shape our backend architecture. You'll tackle our most complex technical challenges and set the standards for how we solve them. Our services run on Kotlin with Spring Boot, and you'll have significant influence over architectural patterns and how we approach infrastructure problems. Build for the next phase of growth. You'll design systems that work beautifully today and scale to 10x the load tomorrow. This means thinking about data storage strategies, horizontal scalability, and how your architectural decisions affect performance as volume increases. Drive impact on a small team. We've built an engineering culture around collaboration, learning, and shipping. You'll have significant influence on what we build, how we build it, and how we work together. ✅ Love building systems that scale. You've worked on backends that handle significant load and understand the tradeoffs in designing for throughput, latency, and cost. You know when to optimize and when good enough is actually good enough. ✅ Have strong experience in event-driven architectures. You've built pub/sub systems, worked with event streaming platforms, and understand the nuances of event delivery semantics, backpressure, and ordering guarantees. ✅ Think deeply about data systems. You've worked with analytical databases or OLAP systems. You can reason about columnar storage, indexing strategies, and query optimization without needing a whiteboard. ✅ Own your infrastructure. You've provisioned cloud resources, written infrastructure-as-code, and made architectural decisions that balance competing constraints. You understand how to model and optimize costs as systems scale. ✅ Write backend code in strongly-typed languages. Our services run on Kotlin, though you don't need prior experience - many of our engineers learned it here and loved the challenge. What matters is that you're comfortable with type systems and backend development. ✅ Want to work on something new. The biggest technical decisions still lie ahead. You'll help define our infrastructure strategy, not just implement someone else's vision. ✅ Thrive in uncertainty. We're an early-stage company. Priorities shift as we learn from customers. Requirements evolve as we understand the problem space. You find this energizing, not frustrating. ✅ Care about customers and their problems. You'll work directly with customer data and build systems that power their revenue. You'll need to understand not just how to build things, but why they matter. 👎 Prefer staying in your lane. We're small and fast-moving. Engineers here work across different parts of the system and adapt as needs change. 👎 Want a predictable roadmap. We don't have a year-long backlog of perfectly scoped tickets. We figure out what to build based on customer needs and technical priorities. 👎 Prefer a slower pace. We're solving real problems for customers today, which means we need to move quickly and make pragmatic tradeoffs. 👎 Want startup perks with big company stability. We're early stage - that comes with excitement and opportunity, but not the benefits package of an established tech company. The salary range for this role is £90,000 - £110,000 + share options Early ownership of critical infrastructure at a fast-growing company Real architectural influence - your decisions will shape how we build for years A collaborative team that values deep technical work and continuous learning We support remote work within +/- 3 hours of GMT and EST, or you can work from our offices in central London or New York - whatever you prefer. The hiring process follows the same general outline for all engineering roles. 1️⃣ First interview (15 mins): A 15 minute interview with an engineer to learn more about you and your experience. 2️⃣ Technical Interview (60 mins): A live pair-programming exercise with one or two of our engineers. We'll ask you to start a new project in a language of your choice, and you'll work with the engineers to solve some requirements and write a test suite. 3️⃣ System Design Interview (60 mins): Focused on how you approach system design problems, own the solutions, and apply a product mindset. 4️⃣ Final interview (30 mins): A final interview with our CEO, Riya.

We are seeking a Machine Learning Engineer to join the User Fraud R&D Studio at Spotify. Our mission is to protect Spotify from fake accounts and artificial streaming. You’ll work in a fast-moving team that experiments, iterates, and deploys innovative fraud prevention solutions. This includes analysing diverse user behaviours, uncovering patterns of abuse, and developing robust, scalable ML models that power real-time and batch decisions. If you're excited by adversarial modelling, anomaly detection, and building systems that defend one of the world's leading streaming platforms, we'd love to hear from you. • Contribute to designing, building, evaluating, shipping, and refining Spotify’s anti-fraud product by hands-on ML development, • Collaborate with a multi-functional team spanning data science, product management, and engineering to combat fraud, • Prototype new approaches and productionise solutions, • Help drive optimisation, testing, and tooling to improve quality, • Be part of an active group of machine learning practitioners in your mission and across Spotify, • Conduct analyses to gain insights on fraudulent behaviours and trends, • Be responsible for monitoring the quality and performance of the squad's ML models, • You have a strong background in machine learning, theory, and practice, • You are comfortable explaining the intuition and assumptions behind ML concepts, • You have hands-on experience implementing and maintaining production ML systems in Python, Scala, or similar languagesExperience with TensorFlow or Pytorch, • You are experienced with building data pipelines, and you are self-sufficient in getting the data you need to build and evaluate your modelsYou preferably have experience with cloud platforms like GCP or AWS, • You care about agile software processes, data development, reliability, and focused experimentation, • You focus on delivering the simplest solution that drives business impact, • This role is based in Stockholm, Sweden or London, United Kingdom, • We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.

Full Stack Engineer / Developer (JavaScript TypeScript) WFH / London to £75k Opportunity to progress your career as a Full Stack Developer working on Tech for Good application for the healthcare sector that utilises AI and Machine Learning techniques to help prevent patients from experiencing health crisis. As a Full Stack Engineer you'll collaborate with a small team working on internal tools and data platforms, with a focus on implementing robust security practices and scalable architectures. You'll use a range of technology, primarily JavaScript on the backend and TypeScript on the frontend, you'll build secure, responsive user interfaces, implement RESTful APIs, optimise database queries for performance and ensure solutions are highly scalable and maintainable. This is a great opportunity to join a scaling start-up in a role that you can shape and influence. Location / WFH: You can work from home most of the time, meeting up with colleagues in the London office once a month / quarter. About you: • You have strong full stack development experience with JavaScript and TypeScript, • You have a strong appreciation of RDBMS, security data architecture and ISO 27001, • You are collaborative, enjoy problem solving and are proactive in getting things done, • You've previously worked in start-ups or small software companies in unstructured environments, • You have achieved a 2.1 or above at BSc in Computer Science or similar technical discipline What's in it for you: • Salary to £75k, • Remote first, flexible working with occasional team meet-ups, • Private Healthcare, • Pension, • Opportunity to make a difference, working on Tech for Good Apply now to find out more about this Full Stack Engineer / Developer (JavaScript TypeScript) opportunity. At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.

We are seeking a Senior Research Engineer to join our Artist-First AI Music lab. Our team pioneers and advances state-of-the-art generative technologies for music that create breakthrough experiences for fans and artists. We invent entirely new listening experiences that center and celebrate artists and creatives. All of our products will put artists and songwriters first, through these four principles: Partnerships with record labels, distributors, and music publishers: We’ll develop new products for artists and fans through upfront agreements, not by asking for forgiveness later.Choice in participation: We recognize there’s a wide range of views on use of generative music tools within the artistic community. Therefore, artists and rightsholders will choose if and how to participate to ensure the use of AI tools aligns with the values of the people behind the music.Fair compensation and new revenue: We will build products that create wholly new revenue streams for rightsholders, artists, and songwriters, ensuring they are properly compensated for uses of their work and transparently credited for their contributions.Artist-fan connection: AI tools we develop will not replace human artistry. They will give artists new ways to be creative and connect with fans. We will leverage our role as the place where more than 700 million people already come to listen to music every month to ensure that generative AI deepens artist-fan connections. For more information, see this press release! _ • Close Collaboration: Work side-by-side with research scientists to conduct ground breaking research in music generation (diffusion, flow matching, or autoregressive models), as well as related domains like ML-based audio processing, music information retrieval, machine learning, and signal processing., • Improve model training pipelines. You’ll debug distributed training, optimize data loading at massive scale, and ensure smooth scaling across compute environments., • Optimize performance. You’ll profile and accelerate existing training and inference code to make experiments faster and production systems more responsive., • Integrate models into production environments. You’ll work directly with platform and product teams to deploy models into the hands of hundreds of millions of Spotify’s users., • Incorporate state-of-the-art research. You'll translate models and techniques described in the literature into robust, well-engineered prototypes., • Maintain a high-quality codebase. You’ll enforce clear structure, consistency, and testing practices to support long-term maintainability on a codebase shared between members of a fast-paced globally distributed team., • Enhance researcher experience. You’ll build internal tooling, libraries, and workflows to make experimentation, debugging, and deployment more efficient for the whole team., • You have experience training or fine-tuning large machine learning models on GPUs using PyTorch or similar frameworks., • You have experience working with cloud platforms like Google Cloud Platform, AWS, or Microsoft Azure., • You understand how to debug problems in machine learning training code., • You communicate effectively with global teams and are ready to work both face-to-face and asynchronously with collaborators on multiple continents., • You have experience optimizing code for performance and can make GPUs “go brrr” (train at maximum efficiency)., • You learn new concepts and technologies quickly and keep up to date with the rapid pace of development in machine learning and AI., • You are resourceful and proactive; when faced with blockers, you seek out solutions through research, experimentation, and collaboration., • You’re not afraid to dig deep into the stack: working with lldb, NVIDIA Nsight, or other low-level debugging tools is a plus., • You have a solid grasp of computer science concepts like type systems, compilers, parallelism, thread safety, encapsulation, and the like., • You have an interest in learning more about audio processing and music information retrieval and you're excited about building amazing products that use these technologies., • We offer you the flexibility to work where you work best! For this role, you can be within the EMEA region as long as we have_, • This team operates within the Central European and GMT time zone for collaboration., • Core working hours are CET 3pm-6pm / EST 9am-12pm.Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Find our AI notice here: https://lifeatspotify.com/ai-notice

About Us Sophos is a cybersecurity leader defending 600,000 organizations globally with an AI-driven platform and expert-led services. Sophos meets organizations wherever they are in their security maturity and grows with them to defeat cyberattacks. Its solutions combine machine learning, automation, and real-time threat intelligence with frontline human expertise from Sophos X-Ops to deliver advanced, 24/7 threat monitoring, detection, and response. Sophos offers industry-leading managed detection and response (MDR) alongside a comprehensive portfolio of cybersecurity technologies — including endpoint, network, email, and cloud security, extended detection and response (XDR), identity threat detection and response (ITDR), and next-gen SIEM. Together with expert advisory services, these capabilities help organizations proactively reduce risk and respond faster, with the visibility and scalability needed to stay ahead of evolving threats. Sophos goes to market with a global partner ecosystem, including Managed Service Providers (MSPs), Managed Security Service Providers (MSSPs), resellers and distributors, marketplace integrations, and cyber risk partners, giving organizations the flexibility to choose trusted relationships when securing their business. Sophos is headquartered in Oxford, U.K. More information is available at _. About the Role We’re looking for a Senior Software Engineer who cares deeply about building high-quality products - not just testing them after the fact. In this role, you’ll help shape how quality is engineered into our products from day one, working across software development, automation, and modern testing practices. This role includes a blend of hands-on testing and automation. You’ll design systems, build tooling, and dive into manual testing where it adds the most value - all while helping the team deliver reliable software at scale. We’re exploring how AI can meaningfully improve quality engineering beyond code assistants, and you’ll have the opportunity to shape that journey in a practical, grounded way. This is an area we’re actively evolving, not a fully mature capability today. If you enjoy solving real engineering problems, improving how teams build software, and taking a pragmatic approach to quality, this role will give you the space to do it. Engineering Quality into the Product • Partner with engineers, product managers, and designers to build quality into features from the start - not bolt it on at the end., • Contribute directly to product code where it improves reliability, testability, and observability., • Help shape system design decisions to reduce defects before they happen. Building Scalable Test & Automation Systems • Design and implement robust, maintainable automation across API, integration, and UI layers., • Evolve our testing approach using modern engineering practices - focusing on fast feedback, meaningful and reliable results, and developer productivity., • Improve CI/CD pipelines so quality checks are fast, reliable, and genuinely useful (not just gates). Exploring AI-Driven Engineering • Experiment with AI to improve how we test and validate software - from intelligent test generation, smarter failure analysis and self-healing approaches., • Build or integrate tools that reduce manual effort and increase confidence in releases. Raising the Bar for Engineering • Help establish a strong, pragmatic quality culture that developers actually value., • Ensure quality is a shared responsibility across the team, not owned by a single individual., • Share ideas, mentor others, and contribute to how we continuously improve as a team., • Influence engineering practices beyond your immediate team., • Strong software engineering experience (JavaScript, TypeScript, or similar)., • A track record of building or improving automated testing in real-world systems., • Experience working in modern development environments with CI/CD and cloud platforms., • A practical mindset: you care about outcomes, not just frameworks or theory., • Hands-on experience applying AI within quality engineering or testing contexts - for example, test generation, failure analysis, test optimisation, or similar., • Ability to go beyond basic coding assistants and use AI to solve real testing or quality problems in innovative ways., • Experience working on security or high-reliability systems., • Exposure to performance or security testing., • Contributions to engineering communities, blogs, or open source., • Engineers move faster with more confidence because quality is built into their workflow., • Testing provides fast, meaningful feedback - not noise., • AI-driven approaches reduce manual effort and uncover issues earlier., • The team sees quality as an enabler, not a bottleneck., • You’ll be treated as a software engineer first, not a gatekeeper., • You’ll have room to experiment with new ideas, including AI, and turn them into real impact., • You’ll influence how software is built - not just how it’s tested. Ready to Join Us? At Sophos, we believe in the power of diverse perspectives to fuel innovation. Research shows that candidates sometimes hesitate to apply if they don't check every box in a job description. We challenge that notion. Your unique experiences and skills might be exactly what we need to enhance our team. Don't let a checklist hold you back – we encourage you to apply. What's Great About Sophos? · Sophos operates a remote-first working model, making remote work the primary option for most employees. However, some roles may necessitate a hybrid approach. While we are a remote first organization, applicants must have legal authorization to work in the jurisdiction where the position is posted, without requiring employer sponsorship. · Our people – we innovate and create, all of which are accompanied by a great sense of fun and team spirit · Employee-led diversity and inclusion networks that build community and provide education and advocacy · Annual charity and fundraising initiatives and volunteer days for employees to support local communities · Global employee sustainability initiatives to reduce our environmental footprint · Global fitness and trivia competitions to keep our bodies and minds sharp · Global wellbeing days for employees to relax and recharge · Monthly wellbeing webinars and training to support employee health and wellbeing Our Commitment To You We’re proud of the diverse and inclusive environment we have at Sophos, and we’re committed to ensuring equality of opportunity. We believe that diversity, combined with excellence, builds a better Sophos, so we encourage applicants who can contribute to the diversity of our team. All applicants will be treated in a fair and equal manner and in accordance with the law regardless of gender, sex, gender reassignment, marital status, race, religion or belief, color, age, military veteran status, disability, pregnancy, maternity or sexual orientation. We want to give you every opportunity to show us your best self, so if there are any adjustments we could make to the recruitment and selection process to support you, please let us know. Data Protection If you choose to explore an opportunity, and subsequently share your CV or other personal details with Sophos, these details will be held by Sophos for 12 months in accordance with our Privacy Policy and used by our recruitment team to contact you regarding this or other relevant opportunities at Sophos. If you would like Sophos to delete or update your details at any time, please follow the steps set out in the Privacy Policy describing your individual rights. For more information on Sophos’ data protection practices, please consult our Privacy Policy _We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we’re backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at and follow us on and _. We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a fully remote position and we're considering candidates in the UK. The Opportunity: Grafana Labs is building an Interactive Learning system, an open source, in-product learning experience that helps users learn and succeed without leaving Grafana. A central part of that vision is a personalized recommendation system that helps each user discover the next guide, action, or product experience most likely to help them succeed. Today, the Interactive Learning tool includes a rule-based recommendation engine that provides useful contextual recommendations. We are hiring an ML Engineer to lead its evolution into an increasingly personalized, continuously improving system driven by real-time product behavior, content metadata, customer context, and experimentation. This is an applied product data science role. You will personally build, deploy, and operate recommendation models, design experiments, establish evaluation methodology, and define the scientific roadmap. You will partner closely with software engineers who own the production recommender codebase and with an existing Data Analyst who supports measurement, instrumentation, and analysis across Developer Advocacy. What You’ll Be Doing: The long-term vision is ambitious, but we do not expect it to arrive in one release. We are looking for someone who can understand the whole problem, establish strong foundations, and ship measurable improvements into the existing recommender one iteration at a time. • Evolve the Interactive Learning Plugin's recommendation system, • Develop increasingly personalized approaches to candidate selection, ranking, sequencing, and next-best-action recommendations., • You’ll own a real-time recommendation service, • Build and operate applied models, • Develop, validate, version, monitor, and iterate on models used by the recommendation system., • You’ll own model training & serving, • Define what recommendation quality means, • Develop offline, online, and longitudinal measures of recommendation performance., • You’ll own feature pipelines, monitoring of the model and architecture, • Ship incremental improvements, • Use the data and infrastructure available today while identifying the instrumentation and platform capabilities needed tomorrow., • Integrate improvements into the existing recommender rather than waiting for a complete replacement system., • Partner across disciplines, • Work closely with software engineers & data analysts to productionize models and integrate them safely into the recommender service., • Partner with the Product Analytics team on metric definitions, instrumentation, data quality, dashboards, and experiment analysis., • Collaborate with Developer Advocacy, Docs, Product, Engineering, GTM, and other teams to translate ambiguous needs into testable hypotheses and measurable product decisions., • Explain modeling choices, tradeoffs, uncertainty, and results clearly to both technical and non-technical audiences. What Makes You a Great Fit: We know it is rare to find everything. Strong candidates should demonstrate credible ability across all three core areas below and be particularly strong in at least two. • Recommendation and personalization science: you have built recommendation, ranking, search, matching, propensity, or next-best-action systems. You are comfortable beginning with simple, explainable approaches when they are the best way to learn., • HTTP/gRPC, streaming, Go/TypeScript previous experience in distributed systems, • Applied model ownership. You have personally built, validated, monitored, and iterated on models used in a product or operational environment. You can work effectively in version-controlled codebases and collaborate with engineers on production implementation. You should also be a strong product thinker and technical communicator. You can take an ambitious and ambiguous objective, identify the most important unknowns, and create a sequence of models and experiments that steadily improves the product. Bonus Points For: • Experience with content, education, onboarding, or learning recommendation systems, • Experience with SaaS product telemetry and customer-account data, • Experience using warehouse-scale behavioral data, • Experience with directed graphs, sequence models, or prerequisite-aware recommendations, • Experience with contextual bandits or other exploration strategies, • Familiarity with Grafana or the broader observability ecosystem, • Experience with open source software or transparent development practices, • Experience working with privacy, fairness, explainability, or responsible personalization constraints Compensation & Rewards: In the UK, the base compensation range for this role is GBP 91,755 - GBP 110,106. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: • 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose., • Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment., • Transparent Communication – Expect open decision-making and regular company-wide updates., • Innovation-Driven – Autonomy and support to ship great work and try new things., • Open Source Roots – Built on community-driven values that shape how we work., • Empowered Teams – High trust, low ego culture that values outcomes over optics., • Career Growth Pathways – Defined opportunities to grow and develop your career., • Approachable Leadership – Transparent execs who are involved, visible, and human., • Passionate People – Join a team of smart, supportive folks who care deeply about what they do., • In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it., • Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our .

BPM – where caring and community are in our company DNA. We are always striving to be our best selves and are compelled BPM – where caring and community are in our company DNA. We are always striving to be our best selves and are compelled to ask the questions that lead to innovation. As a [Job Title] at BPM UK, you will be part of an exciting growth journey as we establish and expand our UK presence. BPM has a strong global advisory focus, and the UK team is at the forefront of this expansion. Our people-first culture sets us apart—we combine the best of UK business practices with the backing and resources of a well-established international firm. You will work with ambitious, high-growth clients, including recognizable UK brands, as they navigate the complexities of international expansion. At BPM, we take a true advisory approach, partnering with clients throughout their business lifecycle to provide strategic insights across tax, finance, and business operations. At BPM, you will broaden your skills, challenge yourself, and make a difference for your colleagues and communities. Our entrepreneurial spirit drives us to see and do things differently. Our passion for people makes BPM a place where everyone feels welcome, valued, and part of something bigger. Because People Matter. What You Get:International Exposure & Collaboration – Work alongside a global team, integrating with US colleagues and clients.Flexible Working Arrangements – Hybrid model with regular Central London team meetups and colleague events.Challenging & Exciting Client Work – Serve a diverse client base, from UK-based high-growth companies to North American businesses expanding internationally.A Strong, People-First Culture – We prioritize work-life balance, career development, and flexibility, setting us apart from traditional firms.Professional Growth & Development – Support for ACA, AAT, and other professional qualifications, with structured training, mentorship, and learning opportunities. About the role: We are seeking an AI/ML Engineer to join BPM’s Enterprise Technology Solutions team. This role is for a builder — someone who doesn’t just experiment with AI but makes it work inside the firm at scale. You’ll take AI tools and models and embed them into BPM’s day-to-day operations, ensuring they deliver real business value. In this role, you’ll design and develop AI-powered applications — from chatbots and copilots to workflow automations — that streamline processes across Tax, Assurance, Advisory, and our Corporate Services Team. You’ll partner with teams to spot opportunities where AI can cut manual effort, increase accuracy, and speed up delivery, then turn those opportunities into working solutions. At BPM, this isn’t about chasing hype — it’s about applying AI where it matters most and seeing your work make an immediate impact. You’ll be part of standing up a brand-new AI-focused development team, not only building solutions but also shaping the team’s processes, tools, and standards. This is a chance to learn new technologies, push technical boundaries, and set the foundation for how AI gets delivered across the firm. Success in this role means turning ideas into reliable solutions colleagues can depend on — helping BPM move faster, work smarter, and stay ahead in a rapidly changing industry. Key Responsibilities: Model Development: Design and evaluate AI/ML models tailored to BPM use cases (e.g., tax AI bot, Copilot extensions). Data Engineering: Prepare and manage structured and unstructured datasets, ensuring quality inputs for training and evaluation. AI Integration: Build and deploy AI features into BPM systems and workflows, using tools like Copilot Studio, Azure OpenAI, and Power Platform. Automation: Deliver automation solutions that streamline operations and reduce manual effort for Tax, Assurance, and Advisory practices. Collaboration: Work closely with IT, business stakeholders, and data governance teams to identify use cases and ensure solutions align with firm goals. Experimentation & Innovation: Rapidly prototype AI solutions, test emerging tools, and recommend best practices for adoption. Governance & Quality: Apply responsible AI practices, ensuring models are accurate, explainable, and compliant with BPM’s standards. • Strong background in machine learning, data science, and applied AI., • Proficiency with Azure OpenAI, Copilot Studio, and Microsoft ecosystem tools., • Experience building chatbots, copilots, or similar AI-driven automation., • Solid programming skills with Python., • Knowledge of MCP (Model Context Protocol) is a plus., • Experience preparing datasets and building ML pipelines., • Familiarity with product development lifecycles and agile delivery practices., • Security-conscious mindset with knowledge of data protection best practices, especially when working with sensitive or regulated data., • Strong problem-solving skills with ability to translate business needs into AI solutions., • Excellent collaboration and communication skills to work across technical and non-technical teams., • Ability to explain complex AI concepts simply to stakeholders., • Bachelor’s degree in a relevant field along with at least 5 years of related work experience, • Experience with cloud platforms (Azure preferred), • Familiarity with frameworks and libraries such as OpenAI SDK, Azure AI SDK, LangChain, and Pandas., • Knowledge of enterprise data governance, compliance, and responsible AI practices., • Prior experience in professional services (accounting, consulting, or similar) a plus., • At least 1 year of applied AI experience, • Proficiency with Azure OpenAI, Copilot Studio, Power Platform, and Microsoft ecosystem tools, with proven success embedding AI solutions into enterprise environments., • Strong programming background in Python and SQL, with experience using frameworks and libraries like LangChain, Pandas, and Azure AI SDK., • Experience building and deploying chatbots, Copilot extensions, and automation workflows that reduce manual work and improve efficiency., • Skilled in data engineering and pipeline development, including preparation of structured and unstructured datasets for AI/ML use cases., • Solid understanding of cloud platforms (Azure preferred), enterprise data governance, and responsible AI practices., • Strong collaboration skills with ability to translate technical concepts into plain language for non-technical stakeholders., • Able to work independently or in collaborative, cross-functional teams to deliver AI and data-driven solutions and helping shape a newly implemented Ai focused team at BPM., • Strong analytical and problem-solving skills with ability to adapt quickly to shifting priorities and emerging technologies., • Able to adjust quickly to the fast-evolving AI/ML landscape, • Skilled at translating complex technical concepts into plain language for non-technical colleagues and leadership., • Effective at building trust and collaboration across diverse teams, including technical staff, business stakeholders, and leadership., • Naturally curious, persuasive, and motivated to drive adoption of innovative technologies., • Strong written and verbal communicator, with experience preparing clear documentation, training materials, and presentations., • Adept at researching new AI tools, frameworks, and industry trends, and applying them to practical business use cases., • Customer- and colleague-focused mindset, ensuring AI solutions align with real-world needs., • Highly organized with ability to prioritize and execute tasks in high-pressure, deadline-driven environments., • Persistent and results-oriented, with a track record of seeing projects through to completion. $150,000 - $180,000 a yearThe salary range provided is intended for candidates in the San Francisco Bay Area who meet the minimum requirements of the position. Candidates who do not reside in the San Francisco Bay Area, do not meet the minimum requirements, or exceed the requirements are encouraged to apply and a recruiter will provide you with a range specific to your location and qualifications.Wondering if you should apply? At BPM we are people who value people. We are progressive and purposeful. We are a firm with flexibility. Our shared entrepreneurial spirit drives us to see and do things differently. And our passion for people makes BPM a place where everyone feels welcome, valued, and part of something bigger. BPM provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. For positions based in San Francisco, consideration of qualified candidates with arrest and conviction records will be in a manner consistent with the San Francisco Fair Chance Ordinance. Please note - this posting is for prospective candidates only. Unsolicited third-party resume submissions will be considered property of BPM and will not be acknowledged or returned. About BPM UK: BPM is an established global advisory firm, and our UK expansion is a key part of our growth journey. We specialise in partnering with clients throughout their business lifecycle, supporting everything from domestic tax and audit compliance to international expansion strategies. Unlike traditional firms, BPM offers a true global advisory experience, ensuring clients receive proactive, strategic guidance. Our UK team brings together the best of UK business practices with BPM’s international expertise, fostering a collaborative, flexible, and people-first culture. We are looking for driven professionals who are excited to be part of something new—helping shape BPM’s future in the UK while working with some of the most dynamic and recognisable brands in the market.

Product Manager (Biometrics) About iProov iProov provides science-based biometric solutions that enable the world’s most security-conscious organizations to streamline secure remote onboarding and authentication for digital and physical access. Our award-winning liveness technology and iSOC offer unmatched resilience against deepfakes and generative AI threats while ensuring effortless, scalable user experiences. Trusted by leading governments and enterprises, including the U.S. Department of Homeland Security, U.K. Home Office, GovTech Singapore, ING, and UBS, iProov sets the standard in biometric identity assurance. This global trust is built not only on our technology but on the strength of the people behind it. For us, diversity at iProov is about reflecting the customers we serve, holding the principles of equality and inclusion at the heart of everything we do and all that we stand for, embracing differences, creating possibilities, and growing together. We aim to foster a culture where individuals of all backgrounds feel confident in bringing their whole selves to work, feel included, and their talents are nurtured, empowering them to contribute fully to our purpose. The Role Reports to: Head of Product (Biometrics) Location: (WeWork Waterloo) London, UK - Hybrid (1-2 times per week in office) Comp: Negotiable (Base) + Company Performance Bonus (10%) + Share Options (EMI) + iProov Benefits IProov is looking for a Product Manager to join our growing Product & Innovation team to work on our core Biometric product. In a team of Product Managers working on our Biometric Product, you will work closely with our Engineer and Machine Learning functions owning the Product Experience. You will play an integral part in streamlining our efforts understanding customer pain points and turning them into usable, lovable solutions. This is a role that involves a large amount of autonomy and ambiguity. In a typical week, you can expect to work closely with our customers to draw requirements from both a technical and security perspective, whiteboard R&D options with various teams of Software and Machine Learning Engineers, productionize and commercialize new features where you see fit, and champion the next generation of usable and inclusive biometric products. • Experience in Product Management in a B2B environment, • Experience in User-centric Design, Mobile Applications, and Machine Learning disciplines are assets, • Experience in identifying and implementing data-backed changes, • Experience in conducting customer/user interviews, • Ability to effectively communicate with various stakeholders, • Exposure to operating within a scale up environment, • A drive to make an impact, • 25 days Annual Leave, plus 8 Bank Holidays (more holiday with service - up to an extra 5 days off per year based on your continuous service), • Growth Shares allocated after passing probation (6 months of service), • Salary sacrifice schemes including: Pension, Cycle To Work and Electric Car Scheme, • Nursery Sacrifice Scheme, • Work Overseas Perk - Work globally for up to 2 weeks, • Life Assurance, • SmartHealth - Access to private GP, Psychologist, Nutritionist along with tailored fitness plans for both you and your family, • Benefit from personalized 1:1 career coaching with our in-house Occupational Psychologist, • Award winning L&D platform with personal allocated training budgets, • Enhanced paid family leave, • Pension - 5% employee, 3% employer, • Flexible hybrid working environment, • Free Barista Coffee/Tea, biscuits with fruit in the WeWork office, • Free access to WeWork discounts and free online well-being sessions, • Vitality Health - a range of options available on this below The Vitality Programme includes a number of reward benefits that all employees have access to as part of the plan, for example: • Private Health cover including Dental, Optical, and Audiology, • 50% off monthly gym memberships, • Apple watches significantly discounted based member vitality status, • Half price trainers with Runners Need, • Weekly rewards – Free coffee with Café Nero, • Monthly rewards – Free Cinema ticket, • Discounts on travel with Expedia (hotels) and Mr & Mrs Smith with discounts getting greater throughout the year based on a members vitality status, • Amazon prime free months based on activity, • Up to 25% cashback at Waitrose when buying healthy foods, • 75% off stays at Champneys Health Spas, • Allen Carr’s £299 no smoking programme for free, • Access to Vitality Healthy Mind with 30% off Headspace subscriptions and the ability to earn Vitality points for using Buddhify, Calm and Headspace, • Discounts on Weight Watchers, • 50%-80% off Comprehensive Private Health screenings Our Culture & Recruitment Process At iProov, we're incredibly proud of the culture we've carefully curated. Our culture enables diverse thought, curiosity and innovation. Our team strives to do everything to the highest standard possible to achieve the remarkable. To do that we need different perspectives, experiences and ideas alongside an environment where these are welcomed - we want everyone to feel confident in bringing their full capabilities to work. We firmly believe psychological safety is key to building and nurturing great teams. We’re a small and dynamic company, that means having the right skills is important, and we know that our best work emerges when people feel secure, welcomed and respected. As an equal opportunities employer, we encourage applications from people of all backgrounds. We’re committed to building a workforce that is representative of the people we serve. We will not put someone at a disadvantage or treat them less favourably because of race, color, national origin, ancestry, age, disability, creed, religion or belief, sex, sexual orientation, gender reassignment, marriage or civil partnership, or pregnancy and maternity. Our goal is to find people who are passionate about creating a safer, more secure world. Our recruitment process is designed to be fair and transparent, focusing solely on your qualifications, competence, and suitability for the role. We review all applications carefully and will be in touch with shortlisted candidates regarding the next steps in our interview process. If you need an adjustment for a disability or any other reason during the hiring process, please send a request to _

Senior Data Engineer - Greater Manchester An exciting opportunity has arisen for a Senior Data Engineer to join my client’s dynamic and growing data team. In this role, you will work across the full data lifecycle—streaming, enrichment, and curation—within a cloud-based environment. You will be responsible for ensuring data quality, integrating key data sets, and supporting the insights and data science teams. As part of this role, you will also develop your expertise in Artificial Intelligence (AI) and Machine Learning (ML), with access to advanced training in ML Ops. Additionally, you will play a key role in mentoring and developing junior data engineers. Key Responsibilities: • Automate and maintain data pipelines within a cloud-based environment (AWS/GCP/Azure)., • Source and verify data from multiple sources, ensuring it is ready for ingestion., • Gain experience in data infrastructure and contribute to the development of new cloud-based methodologies., • Analyse large datasets using Python and SQL., • Set up new pipelines for data streaming, enrichment, and curation., • Manage and maintain source code repositories (GitHub)., • Investigate and apply AI/ML solutions to enhance cloud capabilities. Key Skills & Experience: • Strong proficiency in SQL and Python., • Experience in cloud data solutions (AWS, GCP, or Azure)., • Experience in AI/ML., • Experience with PySpark or equivalent., • Strong problem-solving and analytical skills., • Excellent attention to detail., • Ability to manage stakeholder relationships effectively., • Strong communication skills and a collaborative approach. Why Join Us? • Work with cutting-edge technologies in cloud data engineering and AI/ML., • Opportunity for career growth and professional development., • Be part of an innovative and forward-thinking data team. If you are a motivated Senior Data Engineer with a passion for cloud technologies, AI, and data analytics, we’d love to hear from you. Interested? Please Click Apply Now! Senior Data Engineer - Greater Manchester

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Edge Impulse is the leading edge AI platform, enabling companies to build smarter edge products. Our technology empowers over 100,000 developers to bring more machine learning products to market faster. Enterprise teams develop industry-specific solutions in weeks instead of years because of our robust platform with custom pre-processing blocks and deployment blocks, which make it significantly easier to put a trained model onto a device. We believe that data-centric engineering is the future of industry transformation, unlocking a positive impact on our society and environment. Have a passion for distributed systems, user interaction, accessibility, and delivering customer value? This could be your next career step. Our studio team is the glue for all user-facing Edge Impulse features. We are responsible for the polished UI and the and _. Because we build and support the overall Edge Impulse platform, we seek truly full-stack programmers who thrive on cross-organization coordination and collaboration. \n Responsibilities • Work closely with our Product team as well as with our UX, Marketing, and Solutions teams to design and develop new features that emphasize accessibility, CSS structure, and implementing user-centric designs., • Improve existing code by making it faster, idiomatic, and easier to maintain. Build systems that are reliable, maintainable, scalable, and secure., • Collaborate with our Embedded engineers to integrate new deployment targets in Studio. Experience with embedded development is nice to have, but not required. We have an amazing team to take care of the low-level aspects., • Collaborate with our world-class ML team to showcase their research through Studio. No ML background is required, but a readiness to learn is essential!, • Maintain and extend the Edge Impulse API, SDK, and CLI. We love happy developers., • Embrace an iterative approach by delivering work incrementally to gather feedback., • Lead cross-team initiatives end-to-end, including code reviews, design reviews, operational robustness, security hygiene, etc. Preferred skills and experience • A minimum of six years of software development experience with a balance of front-end and back-end technologies., • Proficiency in TypeScript, NodeJS, or similar technologies., • Strong expertise in HTML and CSS., • Foundational knowledge of UX principles and a track record of prioritizing accessibility in design., • Comfort working with data storage systems at scale, using technologies like PostgreSQL and Redis., • Experience with Docker and an understanding of containerization., • Track record of easily working on a fully distributed team. Bonus points! • Background and interest in Machine Learning and/or mathematics., • Familiarity with monitoring and observability tools like DataDog., • Experience or interest in implementing performant Web Applications and responsive design. \n£63,600 - £98,325 a yearWe base our salary ranges from compensation research using both historic and real-time salary data sets. We have a reasonable estimate of the current salary range to be GBP63K-98K + annual bonus + benefits. This range reflects the minimum and maximum target for new hire salaries for this remote position where the engineer is based in the UK. Edge Impulse targets overall compensation at the 75th quartile of the market for similarly placed companies, job families, and grade levels. Our salary ranges take into account a wide range of factors including but not limited to role, grade level, location, training, degrees, certifications, and other business needs. \n We are an equal opportunity employer. We appreciate diversity in our remote, global organization. We value inclusivity across our teams. We encourage applicants of all genders to apply for this position. We do not discriminate against any employee or applicant for employment because of race, religion, color, national origin, gender identity, sex, sexual orientation, age, marital status, veteran status, disability status, or any other federal, state, or local protected class. #LI-Remote

StackAdapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision. With 465 billion automated optimizations per second, the AI-powered StackAdapt Marketing Platform seamlessly connects brand and performance marketing to drive measurable results across the entire customer journey. The most forward-thinking marketers choose StackAdapt to orchestrate high-impact campaigns across programmatic advertising and marketing channels. We're looking to add a Machine Learning Engineer to our Data Science team! This team works on solving complex problems for StackAdapt's digital advertising platform. You'll be working directly with our Data Scientists, Machine Learning Engineers, Engineering teams, and our CTO/Co-Founder on building pipelines and ad optimization models. With databases that process millions of requests per second, there's no shortage of data and problems to tackle. StackAdapt is a remote-first company with teams around the world. Our teams work in a fully distributed environment, and we are open to candidates based in the UK, Ireland or Germany. This role will remain open until February 27, 2026. Applications will be reviewed on a rolling basis, and the posting will close once the deadline is reached. Want to learn more about our Data Science Team: _ Learn more about our team culture here: _ Watch our talk at Amazon Tech Talks: _ • Design modular and scalable real time data pipelines to handle huge datasets, • Understand and implement custom ML algorithms in a low latency environment, • Work on microservice architectures that run training, inference, and monitoring on thousands of ML models concurrently, • Have the ability to take an ambiguously defined task, and break it down into actionable steps, • Have deep understanding of algorithm and software design, concurrency, and data structures, • Experience in implementing probabilistic or machine learning algorithms, • Interest in designing scalable distributed systems, • A high GPA from a well-respected Computer Science program, • Enjoy working in a friendly, collaborative environment with others, • Highly competitive salary, • Retirement/ 401K/ Pension Savings globally, • Competitive Paid time off packages including birthday's off!, • Access to a comprehensive mental health care program, • Health benefits from day one of employment, • Work from home reimbursements, • Optional global WeWork membership for those who want a change from their home office and hubs in London and Toronto, • Robust training and onboarding program, • Coverage and support of personal development initiatives (conferences, courses, books etc), • Access to StackAdapt programmatic courses and certifications to support continuous learning, • An awesome parental leave program, • A friendly, welcoming, and supportive culture, • Our social and team events! StackAdapt is a diverse and inclusive team of collaborative, hardworking individuals trying to make a dent in the universe. No matter who you are, where you are from, who you love, follow in faith, disability (or superpower) status, ethnicity, or the gender you identify with (if you’re comfortable, let us know your pronouns), you are welcome at StackAdapt. If you have any requests or requirements to support you throughout any part of the interview process, please let our Talent team know. We use artificial intelligence (AI) to streamline the resume reviews of candidates and assess their fit based on the criteria outlined in the job posting. We do not use AI to make any final hiring or interview decisions. About StackAdapt We've been recognized for our diverse and supportive workplace, high performing campaigns, award-winning customer service, and innovation. We've been awarded: _ _ _ and by Great Place to Work® _ To learn more about our privacy practices, please see our . #LI-REMOTE

A1 is building a proactive AI chat app for everyday users to bring intelligence to conversations, errands, organising and workflows. Unlike traditional chat-based applications, our product focuses on achieving high reliability for long-running workflows, persistent context, and real-world task completion. The system must handle multi-step reasoning, interact with external tools, and remain reliable despite non-deterministic model behavior. As Technical Lead, Machine Learning, you own the execution layer of A1’s intelligence. You translate research direction into reliable, scalable, production-grade ML systems. This role sits at the intersection of research, infrastructure, and product. You are responsible for making models trainable, deployable, observable, and performant under real-world constraints. Own end-to-end ML system execution: data pipelines, training workflows, evaluation systems, inference architecture, and deployment. Fine-tune and adapt models using state-of-the-art methods such as LoRA, QLoRA, SFT, DPO, and distillation. Architect and operate scalable inference systems, balancing latency, cost, and reliability. Design and maintain data systems for high-quality synthetic and real-world training data. Implement evaluation pipelines covering performance, robustness, safety, and bias, in partnership with research leadership. Own production deployment, including GPU optimization, memory efficiency, latency reduction, and scaling policies. Collaborate closely with application engineering to integrate ML systems cleanly into backend, mobile, and desktop products. Make pragmatic trade-offs and ship improvements quickly, learning from real usage. Work under real production constraints: latency, cost, reliability, and safety Research and models reliably translate into production-ready solutions with clear performance and quality targets. ML pipelines, training loops, and inference systems are stable, efficient, and maintainable. Production issues are detected, debugged, and resolved quickly, minimizing user impact. Team members are supported, aligned, and able to deliver high-impact ML work with minimal friction. Iterations on models and systems are measurable, safe, and improve user experience over time. Python PyTorch / JAX GPU-based training and inference system You have built or shipped real ML systems used by people, not just demos. You are comfortable working with large models and understanding their failure modes. You write strong, production-grade code and care about system correctness. You are self-directed, pragmatic, and take full ownership of outcomes. You communicate clearly and collaborate well in small, high-trust teams. The best products today in the world were built by small, world class teams. We are a high talent density and hands-on team. We make decisions collectively, move at rapid speed, striking a balance between shipping high quality work and learning. Joining our team requires the ability to bring structure, exercise judgment, and execute independently. Our goal is to put in hands of our users a truly magical product If there appears to be a fit, we'll reach to schedule 3, but no more than 4 interviews. Applications are evaluated by our technical team members. Interviews will be conducted via virtual meetings and/or onsite. We value transparency and efficiency, so expect a prompt decision. If you've demonstrated the exceptional skills and mindset we're looking for, we'll extend an offer to join us. This isn't just a job offer; it's an invitation to be part of a team that's bringing AI to have practical benefits to billions globally.

Junior AI Engineer Our client is a rapidly growing tech-driven company based in central Manchester, leveraging artificial intelligence to build smarter, more efficient solutions across their digital platforms. With recent investment and a growing data team, they're looking to bring on a Junior AI Engineer to support the development and deployment of scalable AI applications. This is a fantastic opportunity for a recent graduate or early-career AI enthusiast to work in a collaborative environment with experienced engineers and data scientists. The successful candidate will assist in designing, training, and integrating machine learning models into real-world systems, contributing to projects that have immediate business impact. Key Responsibilities • Collaborate with senior engineers and data scientists to build ML/AI models., • Perform data wrangling, cleaning, and feature engineering on varied datasets., • Help deploy machine learning pipelines and support integration into production., • Evaluate model performance and suggest improvements., • Keep up with advancements in AI/ML to contribute fresh ideas to the team. Skills and Experience: • Degree in Computer Science, Artificial Intelligence, Data Science, or a related field., • Proficiency in Python and key libraries such as NumPy, Pandas, scikit-learn, TensorFlow or PyTorch., • Basic understanding of machine learning algorithms and model evaluation techniques., • Strong analytical and communication skills., • Comfortable working in a collaborative environment and taking feedback. Desirable: • MSc in a relevant discipline., • Exposure to NLP, computer vision, or recommendation systems., • Familiarity with cloud services (AWS, GCP, or Azure)., • Experience with Git and modern development practices., • Interest in deploying models into real-world applications. What’s on Offer • Competitive salary with room for growth., • Hybrid working model – 2 days a week in their modern Manchester office., • Mentorship and structured development plan., • Access to cutting-edge projects and tools., • 25 days annual leave plus bank holidays, pension scheme, and more. Interested? Please Click Apply Now! Junior AI Engineer

The Company Nigel Wright Tech is pleased to be working closely with a unique consultancy in their search for a Data and AI Engineer. The Role You will play a key role in designing, developing and deploying machine learning models. Your work will directly contribute to transforming data into actionable insights, driving business growth and supporting decision making for clients. The Requirements This is a fantastic opportunity where you will get the chance to work on cutting edge AI projects within a collaborative and innovative environment. Key requirements include: • Experience in designing, developing and maintaining production ready, secure applications using AWS, GCP or Azure, • Exceptional stakeholder management skills with the ability to build strong relationships, • Implementation of data modelling and transformation processes to support advanced analytics and AI initiatives, • Explore and apply LLMs to build novel, AI driven applications, • Develop and maintain CI/CD pipelines to ensure seamless deployment and integration

Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy - fast. We're combining first-principles thinking with cutting-edge technology to build a radically better energy system. We raised $100M from top-tier investors including Multicoin, Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, Box Group and strategic angels like Nico Rosberg, the Co-Founder of Solana and GPs behind Meta, Revolut, Spotify, Uber and more. We’re creating a fully integrated energy company: from developing solar, wind and hydrogen projects to real-time power trading and distributed energy installations. By selling directly to consumers, we cut out the middleman, lower costs and pass on savings to customers. But we’re not stopping there. We’re also building the Energy Network: a decentralised platform of smart devices that rewards users in Energy Dollars for electrifying their homes, shifting usage to off-peak hours, and helping balance the grid. This network strengthens grid stability - a critical foundation for scaling AI data centers and other energy-intensive industries. We're now looking to establish a cutting-edge AI team. As an Applied AI Engineer, this position is ideal for someone who possesses the technical expertise of a backend engineer but is specifically interested in applied AI and how it can be used to enhance the energy experience for our customers and our internal operations. You'll be working on a variety of exciting projects, including consumer-focused features like the Energy Co-Pilot and the Speedy Onboarding process (leveraging tools such as VLM/LLM). You will also collaborate across teams to build AI tools that enhance productivity and streamline processes within Fuse. • Design, develop and deploy AI-powered features that directly impact consumer experiences, including personalised energy recommendations and seamless onboarding via AI models (e.g. using energy bills for quick setup), • Build and optimise internal AI tools that will make the whole company more productive with a focus on automation and enhancing workflows, • Collaborate with backend engineers and data scientists to integrate AI-driven features into our platforms, • Collaborate with the trading and operations teams to ensure AI models are aligned with real-time market conditions and energy pricing, • Improve AI models to optimise trading strategies by anticipating market shifts based on weather and demand forecasts, • Stay up to date with the latest advancements in applied AI and machine learning and apply them to solve real-world problems within the energy space, • Monitor the performance of AI tools and models, ensuring they are functioning efficiently and effectively, • Minimum 3 years of engineering experience, • Proven experience as a Backend Engineer with a strong interest and practical experience in applied AI or machine learning, • Strong programming skills in Python (or similar languages) with familiarity in AI/ML libraries (TensorFlow, PyTorch, etc.), • Experience working with large-scale models (LLMs/VLMs) and deploying AI-driven solutions into production, • Solid understanding of cloud technologies, containerisation and building scalable AI applications, • Ability to integrate AI/ML models into real-world applications, focusing on usability and performance, • Strong problem-solving skills and a practical approach to implementing AI solutions in a fast-paced environment, • Experience working with large datasets, particularly in relation to demand and supply forecasting Bonus • Experience or strong interest in energy markets and trading strategies, • Understanding of weather forecasting, energy demand patterns, and production modelling, • Exposure to Natural Language Processing (NLP) or other related fields, • Competitive salary and an equity sign-on bonus, • Biannual bonus scheme, • Fully expensed tech to match your needs, • Paid annual leave, • Breakfast and dinner for office based employees

Join the Growth Story at Envitia Envitia operates at the heart of the UK’s most sensitive and high-profile operations. Our approach is entirely mission-focused, enabling customers to see more, decide faster, and act with confidence across complex domains. We deliver situational awareness and information advantage across C5ISR, fusing cyber, geospatial, and kinetic data into an operational picture. This transforms fragmented data into a shared understanding of the battlespace, delivering actionable insight when it matters most. Our solutions are secure-by-design, built from the ground up to protect sensitive information and ensure resilience in contested environments. We simplify complex heterogeneous data sources into a rich picture of fused intelligence, providing a digital backbone that underpins success. We operate as small teams delivering fast value, blending deep technical expertise with agile methods to deliver measurable outcomes. Every engagement focuses on capability, clarity, and confidence for those who protect the nation. A career with Envitia enables you to work with mission driven innovation. We’re thrilled to announce that Envitia has been named one of the Sunday Times Top 100 Medium-Sized Companies to Work For in 2025—a prestigious recognition that highlights our commitment to creating an outstanding workplace where innovation, collaboration, and personal growth thrive. The Role Envitia is recruiting for a Data Engineer to join our Security and Intelligence consulting team, who will be responsible for designing, building and maintaining secure, scalable data platforms and pipelines that enable advanced analytics and operational intelligence capabilities. The role focuses on engineering robust data architectures capable of ingesting, processing and distributing large-scale datasets, supporting downstream analytics, machine learning and mission applications. The successful candidate will work within multi-disciplinary agile teams, collaborating with data scientists, software engineers, DevOps specialists and mission analysts to deliver production-grade data solutions. Typical engagements include: • Engineering large-scale data ingestion and processing pipelines, • Designing data lakes and distributed data platforms, • Enabling analytics and AI/ML workloads, • Supporting intelligence data exploitation workflows, • Integrating multiple classified data sources across secure environments Job Responsibilities • Design, build and maintain secure, scalable data platforms capable of processing large volumes of operational data., • Develop and operate robust data lakes and distributed data processing environments within secure or regulated settings., • Engineer high‑performance data ingestion pipelines for batch and streaming data from multiple sources, including sensor, geospatial, communications and operational systems., • Design and implement ETL/ELT workflows to transform, enrich and validate data for downstream analytics and machine learning use., • Build scalable, distributed data processing solutions using modern big data and parallel processing technologies., • Ensure data quality, reliability and performance through monitoring, validation and operational support mechanisms., • Collaborate closely with data scientists to enable analytics and AI/ML workloads, including feature pipelines and data preparation processes., • Optimise data storage and processing architectures to support high‑performance analytical environments., • Contribute to DevSecOps and cloud‑native delivery, including automated deployment, infrastructure provisioning and containerised environments., • Support the ongoing operation, observability and resilience of production data platforms. Skills Required • Experience in data engineering using modern programming languages such as Python, Java or Scala, and SQL., • Hands‑on experience building and operating large‑scale data pipelines using big data and distributed processing technologies (e.g. Apache Spark, Hadoop)., • Experience designing and maintaining data lakes, distributed storage platforms, and data pipeline orchestration tools., • Experience working with cloud‑native data platforms, with strong expertise in AWS and native data services., • Familiarity with Infrastructure as Code and modern cloud‑native data architectures., • Experience working in DevSecOps environments, including Docker, Kubernetes, CI/CD pipelines, and observability/monitoring tooling., • Ability to work directly with stakeholders to understand data requirements and translate them into robust, scalable data engineering solutions., • Comfortable working in secure, regulated or constrained environments, delivering solutions within complex operational settings. Security Clearance Requirements The successful candidate must be eligible for an enhanced Developed Vetted / eDV security clearance. Location It is anticipated the role will require up to 80% (4d/wk) onsite working at client locations – Gloucester, London, Manchester (based on project requirements). What’s in it for you? At Envitia, our greatest asset is our team. We are committed to ensuring our workplace is one where every employee feels valued, supported and motivated to reach their full potential. As part of this commitment, we offer an exciting range of benefits designed to enhance both your professional and personal well-being. • More time for you: Enjoy 25 days of annual leave plus your birthday off, because you deserve to celebrate you. Want more flexibility? You can buy or sell up to 5 extra days to tailor time off around what matters most., • Private Medical Insurance: We’ve got you covered with comprehensive private healthcare, including family options for added peace of mind., • Security Clearance Bonus: Up to £5,000 year, • Career growth that keeps you ahead: We invest in your future with ongoing training and development, so you’re always learning, growing and staying ahead of the curve., • Wellness that works for you: Love yoga, or going to the gym? We encourage an active lifestyle and support your wellness goals with a fitness reimbursement scheme that helps cover your gym membership or fitness-related expenses., • Life Assurance: Gain peace of mind with our life insurance coverage that ensures your loved ones are protected, because we care about your future as much as your present., • Smarter Retirement Planning: Plan for your future with our pension options and resources to help build a secure financial foundation., • Perkbox: Treat yourself! From shopping to spa days, to saving money on that new TV, our Perkbox membership gives you access to exclusive discounts on hundreds of products and services., • Recognition that counts: Great work doesn’t go unnoticed here. Our reward and recognition scheme celebrate your impact and let your brilliance shine., • Give back and get involved: Join us in making a difference through paid volunteering days that let you support the causes that matter to you. Inclusion at Envitia At Envitia, we celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applicants from all backgrounds and walks of life. We believe that our strength lies in our differences, and we are dedicated to fostering a workplace where everyone feels valued, respected, and empowered. We encourage applications from people of all abilities, ages, genders, sexual orientations, races, ethnicities, and religions. We strive to support a culture of inclusion, accessibility, and work-life balance. If you require any accommodations during the application or interview process, please let us know.

3 billion people across the world work in frontline jobs. Yet, despite rising costs and staff shortages, frontline organisations are still left to choose between paper, Excel, and WhatsApp, or decade-old workforce management solutions to take care of the most important part of their businesses - their people. Enter Sona: the next generation of AI-native, frontline workforce management. We've built an end-to-end platform covering Scheduling, HR, Payroll, and Communications that gives the largest frontline organisations everything they need to staff more intelligently and empower their teams. In under 5 years, we've already made a deep impact on the lives of over 100k frontline workers and the operation of their organisations, grown the team to 140+, and secured over $100M in funding from notable VC's, including our Series B led by N47 alongside Felicis, Northzone, and Gradient Ventures (Google). It's a hugely exciting time to be joining the team as we're still small enough that you'll have a significant impact on the company's growth trajectory and culture, yet large enough to have a great structure, experienced leaders and world-class benefits in place. More on working at Sona here. About the Role You'll join a two-person ML team that has built a production forecasting system running daily half-hourly predictions across multiple restaurant chains. Our forecasting models enter into a complex environment with key machine and human decisions being made on their predictions, facing feedback loops and a highly variable environment. The system works - the challenge now is scaling it from a handful of clients to 100s. You'll own client launches end-to-end: validating data, selecting models, running UAT, going live, and monitoring performance afterwards. You'll join client calls, build relationships, and understand what actually matters on the ground - not just whether the model is accurate, but whether the kitchen prepped the right amount of food. You'll love this role if: You enjoy taking ownership of the product and outcome end-to-end. Machine learning at Sona is a success if we have happy clients running successful businesses as well as the models which are best in industry You have a focus on solving the problem and when given the choice between "complicated and shiny" vs "get something simple in front of a user", you choose the latter You're excited by working with our industry experts to really understand what's happening in our client's businesses and the realities of working there You see beyond the data to the world that resulted in this data generating process, the issues that come with it and the opportunity that it gives us You're experienced in and excited by taking a machine learning project from business idea to deployed production system You default to AI tools for development. You use Claude Code, Cursor, or equivalent daily - not as a novelty, but as your standard working mode Our role won't be for you if: You're hoping to do research and publish research papers as a key element of the work that you do You're looking to move into a less technical, more managerial role You're keen to get your hands on fancy new technology X and apply it to something You prefer to work on one thing and make it perfect before moving on - the role requires pragmatism, parallelism, and iterative improvement Requirements You'll need these skills/experience to be successful: Production ML experience, with a track record of deploying ML systems that handle messy data, fail gracefully, and need monitoring Strong ML fundamentals - you can reason about trade-offs in practice, explain why certain features matter more than model selection, and make good judgement calls when something unexpected happens Client-facing deployment experience - you've personally owned an ML deployment end-to-end and are comfortable on calls with non-technical stakeholders Strong programming skills in Python, including the ML/scientific Python stack (e.g. numpy, scikit-learn) Daily use of AI development tools (Claude Code, Cursor, Copilot or equivalent) as your default working mode It would be great if you have experience in some of these areas too: Forecasting, time-series, or demand-planning - someone who understands lag features, calendar effects, and evaluation integrity intuitively will ramp significantly faster Our stack: Python, scikit-learn, MLflow, Docker, GCP A small team where ownership is wide and context-switching is normal Benefits Salary: £95,000-£110,000 Fully remote (European timezones) Share options 35 days annual leave (25 days standard plus 10 flexible public holiday days) Extra day of leave for every year of service Pension contributions matched up to 5% Comprehensive health insurance Enhanced parental leave & pay Co-working space stipend for those based outside London Bi-annual all expenses paid team retreats The latest Macbook and equipment budget for your home office Professional development budget Unlimited free books Note: this represents a typical benefits package for a UK-based, full-time employee. Exact details may vary based on location and employment type but we try to be as fair as possible to all of our team members. Please ask your contact in the Talent team to clarify the available benefits for you.

Ready to make travel easier for millions? Airalo is the world’s first and largest eSIM store, helping travellers stay connected seamlessly in over 200 countries and regions. We trust our teams to take ownership, put customers first, and do work that has a real impact every day. What’s in it for you? Airalo offers team members a range of perks, including remote work, generous PTO, wellness and learning allowances, and, of course, our annual Airalo Away retreat. Learn more about our benefits here; _ Hi, I'm Andra, Director of Data at Airalo! Our team works across the full data ecosystem, from collection to insights activation, ensuring that every piece of data drives meaningful action. We’re curious problem-solvers who love tackling challenges that haven’t been solved before and building tools and processes that scale impact across the company. Airalo’s fully remote Data team is growing. You’ll turn numbers into decisions that shape the future of our business, collaborating with cross-functional teams to solve complex problems and influence how millions of travellers stay connected. This isn’t just dashboards - it’s using data to drive strategy, inform product and growth decisions, and create real impact. You’ll have access to best-in-class tools, the freedom to experiment, and a team ready to turn insights into action. As the Data Engineering Manager, you will lead the foundational backend of our data organization. YYou will directly manage our current pod of Data Engineers (2 Senior Data Engineers and 1 Customer Data Platform Engineer) and shape the hiring roadmap as the function grows - including scoping future specialized roles such as Machine Learning Engineers. Partnering closely with the Data Director, you will help us transition out of the reactive, ad-hoc phase and into a structured, highly scalable data ecosystem. You will own the architecture, ingestion, and orchestration that powers the rest of the data team - ensuring that our Analytics Engineers, Data Analysts and other users have a rock-solid, high-quality foundation to build upon. This role goes beyond building a data platform. You'll be the connective tissue between Product & Engineering, MarTech, and our partner ecosystem - ensuring data is produced cleanly at the source, captured reliably, and delivered cohesively across the entire organization. Manage, mentor, and grow a high-performing team of Senior Data Engineers and CDP Engineers. Drive hiring for the Data Engineering function as it grows, including scoping future specialized roles such as Machine Learning Engineers Foster a culture of engineering excellence, continuous learning, and cross-pollination of knowledge. Own the technical roadmap for Airalo’s data infrastructure (GCP, BigQuery), orchestration (Dagster, Airflow), and ingestion (Fivetran, custom APIs). Drive data-platform architecture decisions, turning ambiguous business problems into scalable, production-grade technical designs. Bridge the data platform with MarTech and third-party ecosystems (PSPs, MNOs, CDPs, attribution platforms), ensuring customer events, campaign data, and partner integrations flow cohesively in both directions. Partner with Software Engineering to embed data quality at the source - implementing data contracts, co-owning schema decisions, and driving the rollout of a data catalogue across the organization. Establish the foundations for real-time data capabilities as the business matures beyond batch processing Design systems that prioritize data quality, privacy, and governance standards across all data initiatives. Transition the team's workflow from reactive problem-solving to structured, agile delivery. Oversee the maintenance and optimization of high-performance data pipelines, implementing CI/CD automation, observability frameworks, and strict data quality gates. Roll up your sleeves when necessary to assist with complex code reviews, Python/Scala development, or unblocking the team on difficult architectural challenges. Act as a strategic partner to the Analytics Engineering Manager and Data Director to build the backend requirements necessary to achieve our company-wide goal of 80% self-serve analytics. 7+ years of professional experience as a Data/Software Engineer, with at least 2+ years of experience directly managing and scaling data engineering teams. You thrive in low-maturity or greenfield data environments. You're comfortable navigating ambiguity and enjoy the process of laying down paved roads and engineering standards where none existed before. Deep, hands-on background with major cloud platforms (GCP preferred) and cloud-native data warehouses (BigQuery preferred, or Snowflake/Redshift). Strong experience with orchestration tools (Airflow, Dagster), ELT pipelines (Fivetran, dbt), and distributed data processing frameworks (Apache Spark, Flink). Hands-on experience using AI tools to accelerate engineering workflows - code generation, code review, pipeline debugging, or documentation Strong coding experience in Python (and/or Scala) and advanced SQL across relational and non-relational databases. Experience implementing CI/CD, Infrastructure as Code, and observability/monitoring for data pipelines. Bachelor's degree in Computer Science, Engineering, Statistics, Information Systems, or a related quantitative field. Experience implementing data contracts, data catalogues (Atlan, Amundsen, DataHub), or federated governance models. Experience with Customer Data Platforms (Segment, mParticle, or similar), MarTech data integration, and real-time event processing. Experience in marketplace, B2C, or high-volume transactional businesses. Previous work in globally distributed data environments (multi-currency, multi-region, multi-language). Experience building or contributing to experimentation platform infrastructure (A/B testing pipelines, feature flag data, experiment analysis frameworks). Exposure to Machine Learning infrastructure - not necessarily building models, but scoping teams, tooling, and pipelines that support ML workloads. If you are interested in this position, please apply via the link. Please note that to be considered for this role, you must reside in and be fully eligible to work in either Romania, Spain, or the UK. Proof of a valid right to work in one of these three countries will be required. By applying, you acknowledge and agree that, in case of successful application, Airalo may request to run background checks as a condition for entering into an agreement with you. Rest assured that these checks will only occur upon your prior consent and at the end of the selection process, and will be strictly limited to what is allowed under the laws that are applicable to you. All data that you share or that we collect in connection with such checks will be processed in accordance with our Privacy Policy, available here: _ We sincerely thank all applicants in advance for submitting their interest in this opportunity. Airalo is an equal-opportunity employer and values diversity, equity & inclusion. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to providing reasonable accommodations upon request for individuals with disabilities throughout our job interview process. At Airalo, we use AI-assisted tools as part of our recruitment process. Your application will be reviewed using tools that help our recruiters analyze and organize CV information. These tools support, but do not replace, human judgment; all hiring decisions are made by humans. If you progress to an interview, we may use tools to generate AI-assisted notes - you can opt out of these. For more information on how we handle your data, please see our Privacy Policy: https://www.airalo.com/more-info/privacy-policy.

At RemoteStar, we're currently hiring for one of our clients based in Houston, TX. Years of experience: 3 to 5 years Location: USA About Client: A fast-growing US-based SaaS company is transforming how energy firms manage operations. Their end-to-end ERP platform streamlines field data, production, finance, land, and compliance, delivering real-time insights and operational efficiency. With a strong client base and innovative tech, they’re redefining digital transformation in the energy and utilities sector. You’ll design and implement AI-driven functionality that improves automation and user experience. This includes leveraging LLMs, machine learning models, and modern AI tooling within a production SaaS environment. This is a hands-on role for someone who can move quickly, make pragmatic decisions, and bring AI concepts into real, scalable product features. Responsibilities • Design and implement AI-powered features within the platform (e.g., automation, recommendations, copilots) • Integrate LLMs and/or ML models into existing services and workflows, • Evaluate, select, and optimize AI tools, APIs, and frameworks for production use, • Collaborate with Product to translate business problems into AI-driven solutions, • Build and maintain scalable backend services to support AI functionality, • Profile, test, and optimize performance of AI-integrated systems, • Ensure reliability, security, and cost-efficiency of AI components in production, • Contribute to architecture decisions around AI integration and system design, • Partner with engineering teams to embed AI into existing applications without degrading stability Requirements • 3+ years of experience as a software engineer in a SaaS or cloud-based environment, • Strong backend engineering experience (RoR and/or Golang preferred), • Experience integrating APIs and working within distributed systems, • Hands-on experience with AI/ML tools (e.g., OpenAI, Anthropic, Hugging Face, or similar), • Experience building or integrating AI-powered features into applications (not just experimentation) • Strong understanding of data flow, system design, and performance optimization, • Experience with relational databases (SQL Server or similar), • Familiarity with microservices architecture, Kubernetes, and CI/CD pipelines, • Experience deploying applications in Azure or similar cloud environments, • Strong problem-solving skills with ability to work in ambiguous, fast-moving environments, • Builder mindset—someone who can take an idea and turn it into a working feature quickly, • Pragmatic approach to AI (focus on value, not hype), • Ability to work independently in a contract environment while collaborating closely with internal teams • Strong communication skills and ability to explain AI concepts to non-technical stakeholders Preferred • Experience with prompt engineering, embeddings, or retrieval-augmented generation (RAG) • Exposure to model evaluation, fine-tuning, or AI performance monitoring, • Experience with event-driven architectures or real-time data processing, • Background in energy, fintech, or other complex data-driven industries

Senior Machine Learning Engineer UK or Poland (Remote or Hybrid, it’s up to you!) Dependent on experience Be part of our success with the opportunity to join our company equity scheme Our Perks ❤️ Monthly Health & Wellness budget, increasing with length of service Annual Learning and Development budget, increasing with length of service ‍♂️ Flexible working in a choice-first environment - we trust the way you want to work! ️ Work From Home Allowance 25 Holiday Days + your local bank holidays, plus an extra day for every year of service Your birthday off Enhanced Family Leave (UK Only), Fertility Leave, and Neonatal Leave ⚕️ Optional Healthcare Plan Life & income protection (Location dependent) Employee Assistance Programme (UK Only) The opportunity to share in the company’s success through options If you’re in London, a dog-friendly office with great classes, events, and a rooftop terrace ‍♀️ The Role ‍♀️ Our mission is to help large successful brands like Uber, Amazon, Wise, HelloFresh (and more!) put their customers at the centre of everything they do. Using best-in-class tech in a fast-developing AI space, our Customer Experience Intelligence platform continuously analyses explicit and implicit feedback to enable our clients to identify what they should do next. We're hiring a Senior Machine Learning Engineer to join the team and help build and ship the next generation of that stack. What you'll be doing: Unlike many companies, we use our own custom models, specialised for customer feedback, across various parts of the stack: extraction, retrieval, reranking, summarisation, and sentiment analysis. We are also pragmatic and understand that the right solution can be a combination of off-the-shelf LLMs, bespoke fine-tuned models, and sometimes techniques that utilise no LLM at all. This means you will: Train, evaluate, and iterate on ML models and agentic systems for customer feedback, including owning our custom fine-tuning pipelines. Run experiments end-to-end, track results rigorously, and make clear recommendations on what to ship, iterate, or retire. Build and maintain LLM-powered features: retrieval pipelines, reranking systems, insight agents, data mining agents, and automated taxonomy generation. Design and run robust evaluation frameworks: build test sets, define metrics, evaluate non-deterministic systems, handle class imbalance, and automate checkpoint comparisons. Improve and extend semantic search and retrieval, evolving from embedding-based approaches toward more advanced methods. Write production-quality code and collaborate closely with Engineering on productionisation, model serving, data pipelines, and monitoring. Work with Product and Commercial teams to translate business needs into practical ML solutions, and support client evaluations and accuracy benchmarking. Mentor team members, review code and research, and bring relevant advances from the literature into the product. What you’ll need: A deep working knowledge of transformer architectures. Strong PyTorch skills, with the ability to write custom training loops, modify model architectures, and debug issues at the tensor level. Ideally, experience with parameter-efficient fine-tuning techniques such as LoRA Extensive experience working with large-scale, messy real-world text data, including classification, extraction, embeddings, re-rankers, clustering, and search. Experience in instruction fine-tuning and serving language models, familiarity with frameworks such as vLLM, DeepSpeed, or similar tools A solid grounding in classical ML and statistics, and the judgement to choose simpler methods when they’re the right solution. Practical experience building with GenAI and agentic patterns. Excellent communication skills and confidence translating complex technical concepts for non-technical audiences (and vice versa!). Technical curiosity and a keen interest in AI – a love of experimenting to make the most of available technology. High ownership and initiative, with the ability to identify problems, prioritise effectively, and drive solutions forward. ➕It would be a bonus if you: MSc/PhD in Computer Science, Machine Learning, Artificial Intelligence, Data Science, Computational Linguistics or a closely related STEM field. Experience with reinforcement learning techniques, such as with verifiable reward (RLVR) Our Hiring Process Let’s introduce ourselves – you’ll complete an introductory asynchronous interview - we’d love to learn more about you, your ambitions, and what you’re looking for in your next step. Get to know your would-be manager – you’ll have a call with Aji, our Chief Scientist, to learn more about the role and show off your experience. Show us how you work – you'll complete a short take home assignment Get to know your would-be team – You'll meet a mix of people who you'll be working closely with from the Data Science, Engineering and Product teams. How our values and your career goals align – you’ll have a call with our cofounder to learn more about life at Chattermill and ensure we’re the right place for your next stage of growth. Our Values We are obsessed with experience – We take our mission to rid the world of bad Customer Experience seriously, and we practice what we preach. We believe in the power of trust – Whether it's with each other, our customers, partners, or other stakeholders, we always communicate with openness and trust. We act as responsible owners – Whether it's about the company, a team, a project, or a task, having the freedom to make decisions in our area of responsibility is a crucial driver for us. We share a passion for growth & progress – On every level, we’re motivated by taking on new challenges – even if they seem out of reach. We recognise that we are learning machines and we always seek to action feedback and improve collectively. We set our ambitions high but stay humble – We've come together to build a product and a category that’s never been seen before. While we're an ambitious bunch with lofty goals, we don't approach this goal carelessly. We believe the right team is the key to success – At Chattermill we’ve learned that all our important achievements have been the result of the right people collaborating together – that’s why we need you to apply today! Diversity & Inclusion We want to enable exceptional experiences for everyone, and to achieve this we need everyone’s voice in our team. We are on a mission to bring more diversity into the business and to give everyone (from all backgrounds and abilities) a chance to join us, even if they may not fit all of the requirements set out in this job spec. We realise that some may be hesitant to apply for a role when they don’t meet 100% of the listed requirements – we believe in potential and will happily consider all applications based on the skills and experience you have, we’d love to be part of your growth and we encourage you to apply! #machinelearning #machinelearningscientist #seniormachinelearningscientist #datascience #machinelearningengineer #seniormachinelearningengineer #deeplearning #LLM #ML #data #AI #PyTorch

ML Engineer About iProov iProov provides science-based biometric solutions that enable the world’s most security-conscious organizations to streamline secure remote onboarding and authentication for digital and physical access. Our award-winning liveness technology and iSOC offer unmatched resilience against deepfakes and generative AI threats while ensuring effortless, scalable user experiences. Trusted by leading governments and enterprises, including the U.S. Department of Homeland Security, U.K. Home Office, GovTech Singapore, ING, and UBS, iProov sets the standard in biometric identity assurance. This global trust is built not only on our technology but on the strength of the people behind it. For us, diversity at iProov is about reflecting the customers we serve, holding the principles of equality and inclusion at the heart of everything we do and all that we stand for, embracing differences, creating possibilities, and growing together. We aim to foster a culture where individuals of all backgrounds feel confident in bringing their whole selves to work, feel included, and their talents are nurtured, empowering them to contribute fully to our purpose. The Role Reports to: Head of Core AI Location: WeWork Waterloo - Hybrid Comp: Negotiable (Base) + Company Performance Bonus (10%) + Share Options + UK iProov Benefits iProov is looking for a Machine Learning Engineer to join our Core AI team. You will be responsible for working on the biometric systems, developing new techniques and algorithms ensuring security and performance. • Drive research projects in the areas of computer vision, machine learning and biometrics., • Research new biometric systems and contribute to prototyping new products - by testing and integrating existing technologies or by designing a new solution., • Develop and train deep learning models for face verification, liveness and attack detection., • Improve upon data and evaluation strategies, including synthetic and adversarial data., • Investigate failure modes and improve generalisation, robustness and fairness., • Collaborate cross-functionally to turn models into production-quality services., • A Masters or PhD in a numerate discipline such as Computer Science, Engineering, Computational Neuroscience., • Proven proficiency or experience in machine learning and computer vision., • Enjoys collaborating with cross-functional teams., • Proficiency in Python and modern deep learning frameworks., • Strong problem-solving skills and out-of-box thinking. Extras: • Experience working on 0->1 products., • Experience generating and using synthetic data, • 25 days Annual Leave, plus 8 Bank Holidays (more holiday with service - up to an extra 5 days off per year based on your continuous service), • Growth Shares allocated after passing probation (6 months of service), • Salary sacrifice schemes including: Pension, Cycle To Work and Electric Car Scheme, • Nursery Sacrifice Scheme, • Work Overseas Perk - Work globally for up to 2 weeks, • Life Assurance, • SmartHealth - Access to private GP, Psychologist, Nutritionist along with tailored fitness plans for both you and your family, • Benefit from personalized 1:1 career coaching with our in-house Occupational Psychologist, • Award winning L&D platform with personal allocated training budgets, • Enhanced paid family leave, • Pension - 5% employee, 3% employer, • Flexible hybrid working environment, • Free Barista Coffee/Tea, biscuits with fruit in the WeWork office, • Free access to WeWork discounts and free online well-being sessions, • Vitality Health - a range of options available on this below The Vitality Programme includes a number of reward benefits that all employees have access to as part of the plan, for example: • Private Health cover including Dental, Optical, and Audiology, • 50% off monthly gym memberships, • Apple watches significantly discounted based member vitality status, • Half price trainers with Runners Need, • Weekly rewards – Free coffee with Café Nero, • Monthly rewards – Free Cinema ticket, • Discounts on travel with Expedia (hotels) and Mr & Mrs Smith with discounts getting greater throughout the year based on a members vitality status, • Amazon prime free months based on activity, • Up to 25% cashback at Waitrose when buying healthy foods, • 75% off stays at Champneys Health Spas, • Allen Carr’s £299 no smoking programme for free, • Access to Vitality Healthy Mind with 30% off Headspace subscriptions and the ability to earn Vitality points for using Buddhify, Calm and Headspace, • Discounts on Weight Watchers, • 50%-80% off Comprehensive Private Health screenings Our Culture & Recruitment Process At iProov, we're incredibly proud of the culture we've carefully curated. Our culture enables diverse thought, curiosity and innovation. Our team strives to do everything to the highest standard possible to achieve the remarkable. To do that we need different perspectives, experiences and ideas alongside an environment where these are welcomed - we want everyone to feel confident in bringing their full capabilities to work. We firmly believe psychological safety is key to building and nurturing great teams. We’re a small and dynamic company, that means having the right skills is important, and we know that our best work emerges when people feel secure, welcomed and respected. As an equal opportunities employer, we encourage applications from people of all backgrounds. We’re committed to building a workforce that is representative of the people we serve. We will not put someone at a disadvantage or treat them less favourably because of race, color, national origin, ancestry, age, disability, creed, religion or belief, sex, sexual orientation, gender reassignment, marriage or civil partnership, or pregnancy and maternity. Our goal is to find people who are passionate about creating a safer, more secure world. Our recruitment process is designed to be fair and transparent, focusing solely on your qualifications, competence, and suitability for the role. We review all applications carefully and will be in touch with shortlisted candidates regarding the next steps in our interview process. If you need an adjustment for a disability or any other reason during the hiring process, please send a request to _

Who we are: We are a leader in fraud prevention and AML compliance. Our platform uses device intelligence, behavior biometrics, machine learning, and AI to stop fraud before it happens. Today, over 300 banks, retailers, and fintechs worldwide use Sardine to stop identity fraud, payment fraud, account takeovers, and social engineering scams. We have raised $145M from world-class investors, including Andreessen Horowitz, Activant, Visa, Experian, FIS, and Google Ventures. Our culture: We have hubs in the Bay Area, NYC, Austin, and Toronto. However, we maintain a remote-first work culture. #WorkFromAnywhere We hire talented, self-motivated individuals with extreme ownership and high growth orientation. We value performance and not hours worked. We believe you shouldn't have to miss your family dinner, your kid's school play, friends get-together, or doctor's appointments for the sake of adhering to an arbitrary work schedule. Location: Remote; based in UK or EU About the role We’re looking for an Integration Engineer to lead client onboarding for Sardine’s fraud and compliance products. You’ll manage end-to-end integrations, translate technical requirements into solutions, and ensure a smooth, successful deployment. This is a hands-on role working closely with clients and internal teams, perfect for someone who thrives in fast-paced environments and enjoys solving complex problems with practical, scalable solutions. What you’ll be doing Lead implementation and integration efforts for fraud and compliance products Work closely with clients and provide end-to-end support during their onboarding process, setting our clients up for success Own public-facing SDKs, APIs, integration guides, and support documents Analyze clients' requirements from the technical and functional perspectives and design solutions by having a deep understanding of our system and products' capabilities Manage implementation projects, including monitoring project quality, managing timelines, mitigating risk, and driving deliverables Build a deep understanding of customers' business problems, technical requirements, and success criteria so that you can provide solutions utilizing Sardine's technology Provide product feedback to internal stakeholders as the eyes and ears on the ground What you’ll need 3+ years of hands-on experience as an implementation manager, integrations engineer, technical account manager, solution architect, and systems analyst, working with multiple technical teams, both internal and external 1+ years of B2B SaaS experience, preferably working in the relevant domain (payment, fraud, risk, or compliance) Excellent written and verbal communication skills, including the ability to communicate complex technical and business concepts to technical and non-technical personas Excellent organizational skills and the ability to manage multiple projects simultaneously and drive deliverables to completion Experience with basic SQL querying and JSON payload analysis Experience with APIs specs like OpenAPI, web development, and writing scripts to build internal tools (e.g., bash scripting, Python, SQL, Ruby, Golang, Postman) Compensation: Base pay range of 35,000 - 45,000 GBP in UK; 40,000 - 50,000 Euro in EU + Series C equity with tremendous upside potential + Attractive benefits The compensation offered for this role will depend on various factors, including the candidate's location, qualifications, work history, and interview performance, and may differ from the stated range. Benefits we offer: Generous compensation in cash and equity Early exercise for all options, including pre-vested Work from anywhere: Remote-first Culture Flexible paid time off, Year-end break, Self care days off Health insurance, dental, and vision coverage for employees and dependents - US and Canada specific 4% matching in 401k / RRSP - US and Canada specific MacBook Pro delivered to your door One-time stipend to set up a home office — desk, chair, screen, etc. Monthly meal stipend Monthly social meet-up stipend Annual health and wellness stipend Annual Learning stipend Unlimited access to an expert financial advisory Join a fast-growing company with world-class professionals from around the world. If you are seeking a meaningful career, you found the right place, and we would love to hear from you. To learn more about how we process your personal information and your rights in regards to your personal information as an applicant and Sardine employee, please visit our _.

📍London, Cardiff or Remote in the UK | 💰 £97,800 -125,000 + | ✨ ⭐Our Borrowing Analytics Engineering Team: Our Mission in Borrowing is to enable people's financial goals through better borrowing. Our customers look to borrow money to enable them to achieve something in their lives - whether that’s making a big life event affordable, buying something they need now without affecting their monthly budget, or getting by until payday. And we’re looking to shape this mission by building products that our customers love, whilst scaling those top revenue lines across the business safely. We're looking for a Lead Analytics Engineer within our borrowing team to help build world class service for the bank of the future. You will play a critical role in overseeing our foundational data platforms, identifying and driving opportunities to enhance our current capabilities. Your expertise will be pivotal in allowing us to scale into new global markets, build new products and shape the future of how we serve our customers. We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. 🔑You’ll play a key role by... • Serving as a data architect for Monzo’s Borrowing data, contributing to the design and scalability of data models that measure the performance of our product suite., • Develop robust data models downstream of backend services, primarily in BigQuery, to support internal reporting, machine learning, large language models, as well as financial and regulatory use cases., • Be a key voice in shaping and maintaining best practices for our Data Warehouse, including source data payload design, logical data modelling, implementation, metadata, and testing standards., • Collaboratively set standards and work with data across Monzo, fostering knowledge sharing and continuously improving data practices., • Contribute to prioritising data governance issues, ensuring a comprehensive approach to data integrity and compliance., • Being a key technical leader who’s able to champion central platform initiatives that aim to elevate the data standards across Borrowing and beyond. 🤩We’d love to hear from you : • You have a strong passion for data modelling, ETL projects, and Big Data., • You enjoy working with data streams from various services, such as financial, transactional, and operational systems., • SQL and data modelling are second nature to you, and you are comfortable with general Data Warehousing concepts., • You are committed to continuous improvement, proactively identifying opportunities and addressing challenges in your work and the work of others., • You have experience building robust and reliable data sets that require a high level of control., • You enjoy working with cross functional fast moving teams and are passionate about serving our customers., • You are able to think strategically about credit products and how our underlying data models will unlock more insights for our team and more value for our customers., • You are excited about enabling other data scientists, analytics engineers and credit analysts by sharing your expertise on data architecture., • You have the ability to shape big, ambiguous data domains and get the required buy-in from key leaders across the business., • You are able to shape and manage the technical roadmap of an entire domain and execute against the project plan’s deliverables., • You are leading through the contributions of others by effectively leveraging the multiplier effect to create exponential value across Borrowing and Analytics Engineering., • Excel in cross-functional stakeholder communication (back-end engineers, product managers, and credit analysts), while also effectively engaging with senior technical leaders. The interview process: Our interview process involves 4 main stages: • Recruiter call, • Initial call, • Technical task, • 3 x 1 hours sessions (final interview) Our average process takes around 3-4 weeks but we will always work around your availability. What’s in it for you: 💰 £97,800-£125,000 base + _ ✈️ We can help you relocate to the UK ✅ We can sponsor visas 📍This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London). ⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. 📚 Learning budget of £1,000 a year for books, training courses and conferences ➕ And much more, see our full list of benefits_ #LI-AS #LI-Remote

At Air Apps, we believe in thinking bigger—and moving faster. We’re a family-founded company on a mission to create the world’s first AI-powered Personal & Entrepreneurial Resource Planner (PRP), and we need your passion and ambition to help us change how people plan, work, and live. Born in Lisbon, Portugal in 2018—and now with offices in both Lisbon and San Francisco—we’ve remained self-funded while reaching over 100 million downloads worldwide. Our long-term focus drives us to challenge the status quo every day, pushing the boundaries of AI-driven solutions that truly make a difference. Here, you’ll be a creative force, shaping products that empower people across the globe. Join us on this journey to redefine resource management—and change lives along the way. As an AI/ML Engineer, you will play a crucial role in designing, developing, and optimizing machine learning models to power our mobile applications. You will work closely with product managers, engineers, and designers to create intelligent, data-driven features that enhance user experiences. Your expertise in artificial intelligence and deep learning will help us innovate and stay ahead in the mobile app industry. This is a fully onsite position, based at our office in Lisbon, where you will collaborate closely with cross-functional teams in person and contribute to a dynamic and fast-paced environment. We are open to support with relocation efforts. Develop, train, and optimize machine learning models for various mobile app features. Research and implement state-of-the-art AI techniques to improve user engagement and app performance. Collaborate with cross-functional teams to integrate AI-driven solutions into our applications. Design and maintain scalable ML pipelines, ensuring efficient model deployment and monitoring. Analyze large datasets to derive insights and drive data-driven decision-making. Stay updated with the latest AI trends and best practices, incorporating them into our development processes. Optimize AI models for mobile environments to ensure high performance and low latency. Around 4+ years of experience in AI/ML development, preferably in mobile applications. Proficiency in Python, TensorFlow, PyTorch, or other ML frameworks. Experience with deep learning, NLP, computer vision, and statistical modeling. Familiarity with cloud-based ML services (AWS, Google Cloud, or Azure). Strong understanding of data structures, algorithms, and software engineering best practices. Experience in deploying and maintaining ML models in production. Ability to work collaboratively in a remote team environment. Strong problem-solving skills and a passion for innovation. Apple hardware ecosystem for work. Annual Bonus Top-tier Health and Life Insurance for peace of mind. Transportation Budget to support your commute needs. Coverflex benefits package for meal allowances, well-being, and more. Childcare support. Air Conference - an opportunity to meet the team, collaborate, and grow together. Pension Fund to support your long-term financial planning. Urban Sports Club membership to keep you active. Meals 100% free at the hub. At Air Apps, we are committed to fostering a diverse, inclusive, and equitable workplace. We enthusiastically welcome applicants from all backgrounds, experiences, and perspectives. We celebrate diversity in all its forms and believe that varied voices and experiences make us stronger. At Air Apps, we value transparency and integrity in our hiring process. Applicants must submit their own work without any AI-generated assistance. Any use of AI in application materials, assessments, or interviews will result in disqualification.

Global supply chain is one of the hottest markets in technology – and Streamba has the world’s most advanced SaaS platform for managing it. We are busy deploying our cloud-native platform on assets around the world and supercharging our tech with machine learning and generative AI functionality. Streamba is a very exciting place to be at. The Customer Success Engineer (CSE) role provides our customers with deep subject matter expertise on cloud platforms, product solutions and best practices. Our CSEs ensure successful framing and deployment of our products with our customers – so you certainly need your passport ready to travel the world from Australia to Trinidad, the US to Qatar, and beyond. As a Customer Success Engineer at Streamba, you will play a critical role in ensuring that our customers realise maximum value from our products. You will act as the bridge between our engineering team and our customers, providing technical support, guidance, and solutions that drive customer satisfaction and retention. Key Responsibilities: • Technical Expertise: Serve as the primary technical contact for our customers, helping them to troubleshoot issues, optimise usage, and fully leverage our platform’s capabilities., • Onboarding: Lead technical onboarding sessions for new customers, ensuring a smooth and efficient implementation of our solutions., • Customer Advocacy: Work closely with customers to understand their needs and challenges, advocating for their requirements within our product development team., • Proactive Support: Anticipate customer needs by monitoring usage patterns and proactively suggesting improvements or additional features., • Collaborative Problem-Solving: Collaborate with our engineering and product teams to address complex technical issues, ensuring a quick resolution and continuous improvement of our offerings., • Documentation & Training: Develop and maintain comprehensive documentation and training materials to support our customers’ success., • Technical Background: Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience., • Experience: +5 years in a customer-facing technical role (Customer Success, Technical Support, or Solutions Engineering) within the SaaS or technology industry., • Problem-Solving Skills: Strong analytical and problem-solving abilities, with a knack for troubleshooting complex technical issues., • Communication: Excellent verbal and written communication skills, with the ability to translate complex technical concepts into clear, user-friendly language., • Customer-Centric: Passionate about delivering exceptional customer experiences and building long-lasting relationships., • Team Player: Collaborative mindset with the ability to work effectively across departments and with diverse teams., • Impactful Work: Contribute to a fast-growing company that is delivering value to customers around the world., • Growth Opportunities: We’re committed to your professional development and offer opportunities for career progression and skill enhancement., • Inclusive Culture: Be part of a diverse, supportive, and innovative team that values your unique contributions., • Competitive Compensation: We offer a competitive salary, comprehensive benefits, and a flexible work environment., • 25 days annual leave plus 11 bank holidays., • Salary sacrifice pension scheme with 8% company contribution., • Employee Assistance Program (EAP)., • Performance bonuses, • Remote/hybrid working – office space in Glasgow & hot-desking in Edinburgh. No minimum requirement for office working., • Opportunities to visit customers around the world (from the USA to Australia and beyond)., • Flexible working for family needs, working abroad etc

About Tripadvisor The Tripadvisor Group connects people to experiences worth sharing, and aims to be the world’s most trusted source for travel and experiences. We leverage our brands, technology, and capabilities to connect our global audience with partners through rich content, travel guidance, and two-sided marketplaces for experiences, accommodations, restaurants, and other travel categories. The subsidiaries of Tripadvisor, Inc. (Nasdaq: TRIP), include a portfolio of travel brands and businesses, including Tripadvisor, Viator, and TheFork. Tripadvisor, the world’s largest travel site, operates at scale with over 500 million reviews, opinions, photos, and videos reaching over 390 million unique visitors each month. We are a data driven company that leverages our data to empower our decisions. Tripadvisor is extremely excited to play a pivotal role in supporting our travellers. With travel plans dashed in early 2020, many people have been dreaming about their next big holiday for more than a year, so it’s no surprise that travellers are extra conscious of getting it just right when they do travel. Helping to play an important role in enabling travellers is an amazing opportunity over the next year and beyond. Our data engineering team is lookig to hire a Senior Data Engineer in the UK. The new Senior Data Engineer will be focused on delivering Tripadvisor’s first-in-class data products that serve all data users across the organization. As a member of the Data Platform Enterprise Services Team, you will collaborate with engineering and business stakeholders to build, optimize, maintain, and secure the full data vertical including tracking instrumentation, information architecture, ETL pipelines, and tooling that provide key analytics insights for business-critical decisions at the highest levels of Product, Finance, Sales, CRM, Marketing, Data Science, and more. All in a dynamic environment of continuously modernizing tech stack including highly scalable architecture, cloud-based infrastructure, and real-time responsiveness. Tripadvisor provides a unique, global work environment that captures the speed, innovation and excitement of a startup, at a thriving, growing and well-established industry brand. We take pride in our data engineering and are looking for a talented and highly-motivated engineer with a passion for solving interesting problems to add to our high-performing team. What You'll Do • Providing the organization’s data consumers high quality data sets by data curation, consolidation, and manipulation from a wide variety of large scale (terabyte and growing) sources., • Building high quality data pipelines and ETL processes that interact with terabytes of data on leading platforms such as Snowflake and BigQuery., • Developing and improving our enterprise data marts by creating efficient and scalable data models to be used across the organization., • Partnering with our analytics, data science, crm, and machine learning teams for data solutions., • Responsible for an enterprise data mart integrity, validation, and documentation., • Responsible for the data pipelines’ SLA and dependency management., • Writing technical documentation for data solutions, and presenting at design reviews, • Solving data pipeline failure events and implementing sound anomaly detection, • Working with various teams from analytics to product owners and front end developers on tracking solutions and solving technical challenges, • Leading medium to large size projects in terms of writing technical specs and project planning, • Mentoring junior members of the team. Skills & Experience • BS or MS degree in Computer Science or a related technical discipline, • 6+ years of data engineering or general software development experience, • Experience working with large datasets (terabyte scale and growing) and familiarity with various technologies and tooling associated with databases and big data:, • Big Data (i.e. Hadoop, Hive, BigQuery, Snowflake), • Relational DB (MS SQL, PostgreSQL/MySQL), • Comprehensive data design and data modeling experience, • Solid experience developing complex ETL processes from concept to implementation; these should include defining SLA, performance measurements and monitoring., • Advanced query language and data exploration skills, proven record of writing complex SQL queries across large datasets., • Systems performance and optimization experience, with an eye for how systems architecture and design impacts performance and scalability, • Experience in functional programming in Python or in an equivalent language, • Strong software engineering principles, • Self-paced, organized, and detail-oriented person with a strong sense of ownership, • Strong communication skills to effectively communicate with both business and technical teams., • Ability to work in a fast-paced and dynamic environment, • Proven record of technical leadership on planning and driving medium to large size projects and handling challenging deadlines., • Strong interpersonal skills, intense curiosity, and an enthusiasm for solving difficult problems., • Ability to break down complex problems into simple solutions., • Ability to work with end users to solve technical challenges, • Comfortable owning the full data vertical and work autonomously, • Ability to mentor and support more junior members of the Team Nice to have • Exposure to and/or interest in machine learning and data science specifically to help solve day-to-day problems and reach objectives in an innovative way, • Experience working with task orchestration tools, Airflow or similar systems, • Comfortable working in a Linux CLI environment, • Experience in designing high-scale, fault-tolerant and performant distributed applications, • Experience in developing and managing real-time data pipelines, • Experience in programming languages such as Java or equivalent, • Experience with data governance. What We Offer • Competitive compensation packages, including base salary, annual bonus, and more., • “Work your way” with flexibility to suit your lifestyle. We take a remote-friendly approach to collaboration, with the option to join on-site as often as you’d like in select locations., • Flexible schedule. Work-life balance is ingrained in our culture by design. Trust and accountability make it work., • Donation matching. Give back? Give more! We match qualifying charitable donations annually., • Tuition assistance. Want to level up your career? We love to hear it! Receive annual support for qualified programs., • Lifestyle benefit. An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you., • Travel perks. We believe that travel is employee development, so we provide discounts and more., • Employee assistance program. We’re here for you with resources and programs to help you through life’s challenges., • Health benefits. We offer great coverage and competitive premiums., • Generous referral scheme. Help us grow and be rewarded with generous awards for referring successful candidates. Our Cultural Pillars: • Traveller first: We exist to create value for our customer, the traveler. We enable our suppliers and partners to unlock this value. Their collective behaviors and insights are what drives us., • Execution is our edge: We act fast, experiment, learn from failure, iterate, and improve the solutions of tomorrow across every aspect of our business. Our execution is agile, data-driven, prioritised, and built to scale. We assume no problem is someone else’s problem and finish what can be done today, knowing tomorrow will bring fresh challenges., • We succeed together: The best outcomes are driven by empathic, humble, and diverse subject matter experts working toward shared goals. We collaborate relentlessly, challenge assumptions, give actionable feedback, and set each other up for success through empowered teams with a clear charter. We transparently take ownership of our growth, individually and as a team. We celebrate the quality of our effort, our learnings, and our collective achievements. Discover more in our _, for an inside look into some of our exciting and ground-breaking technical projects here at Tripadvisor Group. Tripadvisor Group champions the unique identities, abilities, and experiences of all our people – employees, customers, and partners. This stems from our belief in the transformative power of travel, dining, and experiences to connect us and open doors to worlds very different from our own. Our _shapes how we approach our people, culture, business, and reputation. Tripadvisor Group strives to embed inclusion and belonging across all our brands. We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or the recruiting process, please make sure to reach out to your individual recruiter or our team at AccessibleRecruiting@tripadvisor.com. If you have any additional questions about careers at Tripadvisor you can email us at recruitment@tripadvisor.com. We have all the answers! #Tripadvisor #Remote #LI-AMCVAY

Computer Vision Research Engineer (PAD) About iProov iProov provides science-based biometric solutions that enable the world’s most security-conscious organizations to streamline secure remote onboarding and authentication for digital and physical access. Our award-winning liveness technology and iSOC offer unmatched resilience against deepfakes and generative AI threats while ensuring effortless, scalable user experiences. Trusted by leading governments and enterprises, including the U.S. Department of Homeland Security, U.K. Home Office, GovTech Singapore, ING, and UBS, iProov sets the standard in biometric identity assurance. This global trust is built not only on our technology but on the strength of the people behind it. For us, diversity at iProov is about reflecting the customers we serve, holding the principles of equality and inclusion at the heart of everything we do and all that we stand for, embracing differences, creating possibilities, and growing together. We aim to foster a culture where individuals of all backgrounds feel confident in bringing their whole selves to work, feel included, and their talents are nurtured, empowering them to contribute fully to our purpose. The Role Reports to: Platform AI Lead Location: WeWork Waterloo - Hybrid (2+ days a week in office) Comp: Negotiable (Base) + Company Performance Bonus (10%) + Share Options + UK iProov Benefits iProov is looking for a Computer Vision Research Engineer to join our Platform AI team. You will be responsible for working on the biometric systems, developing new techniques and algorithms ensuring security and performance. • Research, prototype, and evaluate new approaches to strengthen biometric security against both presentation attacks, such as masks, printed photos, and screen replays, and emerging threats such as face swaps, synthetic media, and injection attacks., • Improve the accuracy, robustness, and performance of our biometric systems through experimentation, model development, and analysis of system weaknesses., • Work closely with Data Engineers and Machine Learning Engineers to understand data challenges, investigate issues, and develop scalable solutions for biometric security., • Help develop datasets, tools, and evaluation methods that support the testing and improvement of biometric systems., • Proactively identify new attack patterns, failure modes, and opportunities to strengthen the resilience of our biometric systems., • Stay up to date with developments in computer vision, machine learning, and biometric security, and apply relevant ideas to our products., • Collaborate with engineers and researchers to share findings and bring new ideas into production., • A Masters or PhD in a numerate discipline such as Computer Science, Engineering, Computational Neuroscience., • Proven proficiency or experience in machine learning and computer vision., • Proactive, highly motivated, and curious, with a desire to understand problems and find effective solutions., • Comfortable turning ideas into experiments and prototypes, and using evidence to drive decisions., • Interest in modern AI technologies, including generative AI and agentic systems, and a willingness to explore how they can be applied to real-world problems., • Strong communication skills and enjoys working with cross-functional teams., • 25 days Annual Leave, plus 8 Bank Holidays (more holiday with service - up to an extra 5 days off per year based on your continuous service), • Growth Shares allocated after passing probation (6 months of service), • Salary sacrifice schemes including: Pension, Cycle To Work and Electric Car Scheme, • Nursery Sacrifice Scheme, • Work Overseas Perk - Work globally for up to 2 weeks, • Life Assurance, • SmartHealth - Access to private GP, Psychologist, Nutritionist along with tailored fitness plans for both you and your family, • Benefit from personalized 1:1 career coaching with our in-house Occupational Psychologist, • Award winning L&D platform with personal allocated training budgets, • Enhanced paid family leave, • Pension - 5% employee, 3% employer, • Flexible hybrid working environment, • Free Barista Coffee/Tea, biscuits with fruit in the WeWork office, • Free access to WeWork discounts and free online well-being sessions, • Vitality Health - a range of options available on this below The Vitality Programme includes a number of reward benefits that all employees have access to as part of the plan, for example: • Private Health cover including Dental, Optical, and Audiology, • 50% off monthly gym memberships, • Apple watches significantly discounted based member vitality status, • Half price trainers with Runners Need, • Weekly rewards – Free coffee with Café Nero, • Monthly rewards – Free Cinema ticket, • Discounts on travel with Expedia (hotels) and Mr & Mrs Smith with discounts getting greater throughout the year based on a members vitality status, • Amazon prime free months based on activity, • Up to 25% cashback at Waitrose when buying healthy foods, • 75% off stays at Champneys Health Spas, • Allen Carr’s £299 no smoking programme for free, • Access to Vitality Healthy Mind with 30% off Headspace subscriptions and the ability to earn Vitality points for using Buddhify, Calm and Headspace, • Discounts on Weight Watchers, • 50%-80% off Comprehensive Private Health screenings Our Culture & Recruitment Process At iProov, we're incredibly proud of the culture we've carefully curated. Our culture enables diverse thought, curiosity and innovation. Our team strives to do everything to the highest standard possible to achieve the remarkable. To do that we need different perspectives, experiences and ideas alongside an environment where these are welcomed - we want everyone to feel confident in bringing their full capabilities to work. We firmly believe psychological safety is key to building and nurturing great teams. We’re a small and dynamic company, that means having the right skills is important, and we know that our best work emerges when people feel secure, welcomed and respected. As an equal opportunities employer, we encourage applications from people of all backgrounds. We’re committed to building a workforce that is representative of the people we serve. We will not put someone at a disadvantage or treat them less favourably because of race, color, national origin, ancestry, age, disability, creed, religion or belief, sex, sexual orientation, gender reassignment, marriage or civil partnership, or pregnancy and maternity. Our goal is to find people who are passionate about creating a safer, more secure world. Our recruitment process is designed to be fair and transparent, focusing solely on your qualifications, competence, and suitability for the role. We review all applications carefully and will be in touch with shortlisted candidates regarding the next steps in our interview process. If you need an adjustment for a disability or any other reason during the hiring process, please send a request to _

What Makes Us Unique At Cloudbeds, we're not just building software, we’re transforming hospitality. Our intelligently designed platform powers properties across 150 countries, processing billions in bookings annually. From independent properties to hotel groups, we help hoteliers transform operations and uplevel their commercial strategy through a unified platform that integrates with hundreds of partners. And we do it with a completely remote team. Imagine working alongside global innovators to build AI-powered solutions that solve hoteliers' biggest challenges. Since our founding in 2012, we've become the World's Best Hotel PMS Solutions Provider and landed on Deloitte's Technology Fast 500 again in 2024 – but we're just getting started. Location - Remote (Europe) How You'll Make an Impact: As a Staff Machine Learning Engineer, you will play a key role in building and implementing features that empower lodging customers to make data-driven pricing decisions. Some of these features will use simple heuristic data, while others will leverage advanced machine learning techniques to optimize revenue strategies. You’ll work closely with product and engineering teams to identify opportunities for improvement, develop innovative solutions, and drive revenue growth for the hotels that rely on our platform. Your impact will be focused on ensuring the reliability, scalability, and high quality of our ML systems from development to production. You’ll be instrumental in establishing robust ML practices and rigorous testing processes across the entire ML lifecycle. From structuring data pipelines to implementing and validating ML models, you’ll own the end-to-end development of our revenue management application—ensuring hotels have the reliable, accurate insights they need to maximize their success. Our Machine Learning Team: Our machine learning team is energized by the unique challenge of revolutionizing guest experiences through AI-driven insights, transforming traditional hospitality with cutting-edge predictive algorithms. We thrive on collaborative innovation, where data scientists, engineers, and product experts seamlessly blend their expertise to prototype bold ideas and directly impact operational efficiency. People who are passionate about continuous learning, unafraid to challenge conventions, and excited by the intersection of hospitality and deep technical prowess will find their home among our forward-thinking team. What You Bring to the Team: • Architectural Expertise: Proven track record in designing, deploying, and maintaining production-grade, distributed ML systems (Sagemaker), • Deep MLOps Proficiency: Expert-level knowledge of CI/CD, orchestration (e.g., Apache Airflow, Flink), and model monitoring/drift detection at scale., • Software Engineering Rigor: Strong background in Python, distributed systems, and backend development, with a firm grasp of software engineering best practices., • Technical Strategy: Experience defining SLIs/SLOs and managing large-scale technical roadmaps., • Leadership: Demonstrated ability to influence cross-functional teams, mentor junior talent, and drive consensus on complex technical decisions., • Domain Knowledge: Ability to apply statistical and ML methods to optimize revenue management and pricing strategies. What Sets You Up for Success: • 5+ years of experience in a machine learning role, with demonstrated success in ML Engineering and deploying models to production., • Proven expertise in designing and implementing ML testing strategies (e.g., data validation, model correctness, performance testing)., • Great understanding of machine learning principles (experimental design, statistical distributions and test, machine learning algorithms), • Expertise in deploying ML models at scale on AWS, with experience using MLFlow, Sagemaker or similar platforms., • Strong Python programming skills and adherence to software engineering best practices (e.g., clean code, version control, code reviews, using Docker, Terform, Kubernetes)., • Expert-level SQL skills and experience working with large datasets for analysis and modeling., • Strong problem-solving skills with the ability to apply creative, data-driven solutions to complex business challenges., • Excellent communication and collaboration skills, with experience working cross-functionally with product and engineering teams., • Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field. Bonus Skills to Stand Out (Optional): • Experience with CI/CD tooling (e.g., GitHub Actions, Jenkins) specifically for ML pipelines and Airflow DAG deployment., • Experience with data quality monitoring tools and frameworks., • Master’s or PhD in Computer Science, Mathematics, or a related field. #LI-IK1 What to Expect - Your Journey with Us Behind Cloudbeds' revolutionary technology is a team of redefining what's possible in hospitality. We're 650+ employees across 40+ countries, bringing together elite engineers, AI architects, world-class designers, and hospitality veterans to solve challenges others haven't dared to tackle. Our diverse team speaks 30+ languages, but we all share one language: a passion for innovation and travel. From pioneering breakthroughs in machine learning to revolutionizing how hotels operate, we're not just watching the future of hospitality unfold – we're coding it, designing it, writing it and shipping it. If you're ready to work alongside some of the brightest minds in tech who are obsessed with using AI to transform a trillion-dollar industry, this is your chance to be part of something extraordinary. Learn more online at _ Company _ to Check Out! • Best All-In-One Hotel Management System | HotelTechAwards (2025), • Overall 10 Best Places to Work | HotelTechAwards (2025), • Most Loved Workplace® Certified (2024), • Top 10 People’s Choice(2024), • Deloitte Technology Fast 500 (2024) Discover our Benefits: • Remote First, Remote Always, • PTO in accordance with local labor requirements, • Monthly Wellness Fridays - enjoy an extra long weekend every month, • Full Paid Parental Leave, • Home office stipend based on country of residency, • Professional development courses in Cloudbeds University, • Access to professional development, including manager training, upskilling and knowledge transfer. Everyone is Welcome - A Culture of Inclusion Cloudbeds is proud to be an Equal Opportunity Employer that celebrates the diversity in our global team! We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Cloudbeds is committed to the full inclusion of all qualified individuals. As part of this commitment, Cloudbeds will ensure that persons with disabilities are provided reasonable accommodations in the hiring process. We encourage deaf, hard of hearing, deaf-blind, and deaf-disabled individuals to apply. If reasonable accommodation is needed to participate in the job application or interview process or to perform essential job functions, please contact our HR team by phone at (858) 201-7832 or via email at _. Cloudbeds will provide an American Sign Language (ASL) interpreter where needed as a reasonable accommodation for the hiring processes. To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Cloudbeds. Staffing, recruiting agencies, and individuals being represented by an agency are not authorized to use this site or to submit applications, and any such submissions will be considered unsolicited. Cloudbeds does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Cloudbeds employees, or any other company location. Cloudbeds is not responsible for any fees related to unsolicited resumes/applications. #LI-REMOTE

Role: AI Engineer Experience: 8-10years Location: London Contract duration: 12 months Job Description: Proven experience as an AI, Machine Learning, or Privacy Engineer. • Proficiency in programming languages such as Python is added advantage., • Experience with deep learning frameworks like TensorFlow, PyTorch, or JAX., • Experience working with multi-cloud technologies. GCP is mandatory., • Excellent analytical and communication skills, with the ability to explain complex technical and privacy concepts to non-technical stakeholders, • Experience with adversarial testing and robustness evaluation of AI models., • Experience in the end-to-end development of AI/ML models and applications., • Ability to lead and train the team on model training

Description Senior software Engineer Location: This is a Hybrid working role. Whiteley, Hampshire Clearance Required: This role will require attainment and maintenance of SC clearance. At Leidos, we deliver innovative solutions through the expertise, dedication and diversity of our people. We work alongside customers across Defence, Government, Safety, Security and Transportation. Everything we do is guided by our commitment to doing the right thing for our customers and our colleagues. Our Mission, Vision and Values shape the way we work and the impact we deliver. We are seeking an experienced Software Engineer to join our Air Traffic Management programme. This is an opportunity to play a key role in the development and sustainment of safety-critical, real-time Air Traffic Control systems. As part of a multi-disciplinary engineering team, you will be responsible for delivering complex software solutions across the full software development lifecycle, from requirements analysis and system design through to implementation, integration, testing, deployment and operational support. You will work across multiple applications and technical domains, applying your expertise to solve challenging engineering problems and drive successful project outcomes. You will contribute technical leadership within project teams, influence engineering approaches and design decisions, and collaborate closely with customers, stakeholders and engineering disciplines to ensure the delivery of robust, high-quality software solutions. While knowledge of Air Traffic Management systems would be advantageous, it is not a prerequisite for the role as we recognise that strong software engineering skills are transferable. Successful candidates will receive domain-specific training and support to build their understanding of Air Traffic Management systems and operational practices. Knowledge and Experience We are interested in candidates who can demonstrate significant experience in several of the following areas: Strong software development experience using Ada (83/95), C++, C or similar engineering-focused languages Software design, development and integration within Linux or Unix style environments Scripting and automation using technologies such as Python, Shell or Perl Networked and distributed systems, including TCP/IP-based communications Requirements analysis, software design, implementation, integration, verification and maintenance Experience delivering software within safety-critical, mission-critical or high-integrity environments Configuration management, change management and release processes Experience working within structured development lifecycles, including Waterfall and V-Model approaches Typical Responsibilities Investigation and resolution of complex software and system issues Define, develop and maintain software requirements and technical baselines Contribute to software architecture and design decisions across multiple applications and projects Develop and implement robust software solutions that meet customer and business requirements Provide technical leadership and guidance to engineering teams Identify, assess and manage technical risks, opportunities and dependencies Support project planning, estimation and delivery activities Work collaboratively with Systems Engineering, Formal Test, Cyber, DevOps and Programme Management teams Engage with customers, suppliers and other stakeholders to support delivery objectives Review engineering deliverables and ensure compliance with applicable standards, processes and best practices Produce and review technical documentation, design artefacts and engineering reports Support operational deployments and customer acceptance activities as required Qualifications and Attributes Strong problem-solving and analytical skills with the ability to develop innovative solutions to complex technical challenges Excellent written and verbal communication skills Ability to influence technical direction and support engineering decision-making Experience working across multiple projects or technical domains simultaneously Ability to build effective working relationships with customers, stakeholders and engineering teams Degree in Computer Science, Software Engineering, Engineering or a related discipline, or equivalent experience Appointment is subject to the successful candidate holding, or being eligible to obtain, UK Security Check (SC) clearance. What we do for you: At Leidos we are PASSIONATE about customer success, UNITED as a team and INSPIRED to make a difference. We offer meaningful and engaging careers, a collaborative culture, and support for your career goals, all while nurturing a healthy work-life balance. We provide an employment package that attracts, develops and retains only the best in talent. Our reward scheme includes: • Contributory Pension Scheme, • Private Medical Insurance, • 33 days Annual Leave (including public and privilege holidays), • Access to Flexible benefits (including life assurance, health schemes, gym memberships, annual buy and sell holidays and a cycle to work scheme and much more!), • Flexi-Time Working Commitment to Diversity: We welcome applications from every part of the community and are committed to a truly diverse and inclusive culture. We foster a sense of belonging, welcoming all perspectives and contributions, and providing equal access to opportunities and resources for everyone. If you have a disability or need any reasonable adjustments during the application and selection stages please let us know, and we will respond in a way that best fits your needs. Who We Are: _ – we work to make the world safer, healthier, and more efficient through technology, engineering and science. Leidos is a growing company delivering innovative technology and solutions focused on safeguarding critical capabilities and transformation in frontline services, our work in the United Kingdom includes addressing some of the most complex problems in defence, healthcare, government, safety and security, and transportation. What Makes Us Different: Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire change. Collaboration: having flexibility to do your job is one of our core benefits, enabling you to become part of our extraordinary team. We have been empowering our people to work flexibly for years. Whether you work from home, the office or on customer sites, we will give you the digital tools and the flexibility to work smarter and align your needs and ours. People: Leidos empowers people from every background to be themselves and gives you the tools to learn new skills by enabling growth whilst developing. We believe that extraordinary people need opportunities to grow, to be inspired and to inspire others. At Leidos, we invest in technical academies, career rotations and a career development plans that enhance your future. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares. For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. £61,500.00-£78,800.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit _. Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at _. Securing Your Data Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at _. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the _. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

Description Software Engineer Location: This is a Hybrid working role. Whiteley, Hampshire Clearance Required: This role will require attainment and maintenance of SC clearance. At Leidos, we deliver innovative solutions through the expertise, dedication and diversity of our people. We work alongside customers across Defence, Government, Safety, Security and Transportation. Everything we do is guided by our commitment to doing the right thing for our customers and our colleagues. Our Mission, Vision and Values shape the way we work and the impact we deliver. We are looking for a Software Engineer to join our Air Traffic Management programme. This is an excellent opportunity to develop your software engineering career while working on safety-critical, real-time Air Traffic Control systems. You will receive support and mentoring from experienced engineers as you develop your technical and professional skills within a safety-critical engineering environment. As part of a multi-disciplinary engineering team, you will gain experience across the full software development lifecycle, from requirements analysis and design through to implementation, testing, deployment and operational support. Knowledge and Experience We are interested in candidates who can demonstrate experience of, or an interest in, some of the following areas: Unix/Linux operating systems Programming languages such as C, C++, Python, PL/SQL, HTML or JavaScript Scripting languages such as Python, Bourne Shell or Perl Virtualisation and cloud computing concepts Networking and communications protocols, particularly TCP/IP Software engineering lifecycle activities, including requirements, design, development, testing and maintenance Typical Responsibilities Investigate issues across software applications and supporting systems Contribute to the development, implementation and maintenance of software solutions. Contribute to software architecture and design activities Contribute to the development and implementation of software solutions Support change, configuration and release management activities Identify and help manage technical risks and opportunities Work closely with Systems Engineering, Formal Test, project management and technical leaders Develop software test plans and support test execution Produce technical documentation, reports and supporting artefacts Follow established engineering processes, standards and best practices This role is based in Whiteley, Hampshire, with opportunities for hybrid working. Appointment is subject to the successful candidate holding, or being eligible to obtain, UK Security Check (SC) clearance. What we do for you: At Leidos we are PASSIONATE about customer success, UNITED as a team and INSPIRED to make a difference. We offer meaningful and engaging careers, a collaborative culture, and support for your career goals, all while nurturing a healthy work-life balance. We provide an employment package that attracts, develops and retains only the best in talent. Our reward scheme includes: • Contributory Pension Scheme, • Private Medical Insurance, • 33 days Annual Leave (including public and privilege holidays), • Access to Flexible benefits (including life assurance, health schemes, gym memberships, annual buy and sell holidays and a cycle to work scheme and much more!), • Flexi-Time Working Commitment to Diversity: We welcome applications from every part of the community and are committed to a truly diverse and inclusive culture. We foster a sense of belonging, welcoming all perspectives and contributions, and providing equal access to opportunities and resources for everyone. If you have a disability or need any reasonable adjustments during the application and selection stages please let us know, and we will respond in a way that best fits your needs. Who We Are: _ – we work to make the world safer, healthier, and more efficient through technology, engineering and science. Leidos is a growing company delivering innovative technology and solutions focused on safeguarding critical capabilities and transformation in frontline services, our work in the United Kingdom includes addressing some of the most complex problems in defence, healthcare, government, safety and security, and transportation. What Makes Us Different: Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire change. Collaboration: having flexibility to do your job is one of our core benefits, enabling you to become part of our extraordinary team. We have been empowering our people to work flexibly for years. Whether you work from home, the office or on customer sites, we will give you the digital tools and the flexibility to work smarter and align your needs and ours. People: Leidos empowers people from every background to be themselves and gives you the tools to learn new skills by enabling growth whilst developing. We believe that extraordinary people need opportunities to grow, to be inspired and to inspire others. At Leidos, we invest in technical academies, career rotations and a career development plans that enhance your future. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares. For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. £30,400.00-£35,800.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit _. Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at _. Securing Your Data Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at _. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the _. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

Coach – Applied AI Engineering (Level 6) | Machine Learning Remote | National travel required Corndel is a multi award‑winning UK training provider delivering high‑quality management and technology programmes with leading organisations. We’re growing fast and are passionate about transformational learning that empowers people to be their professional best. The Role We’re looking for an Applied AI Engineering Coach (Level 6) to support apprentices on our AI Engineer / Machine Learning apprenticeship programme. This role suits an experienced AI Engineer, Machine Learning Engineer, or Data Scientist who enjoys coaching others and enabling the responsible application of AI in real business environments. You’ll combine strong technical expertise with a coaching mindset—helping learners apply AI confidently, ethically, and effectively at work. What You’ll Do Coach and mentor a caseload of Level 6 AI Engineering apprentices Deliver engaging 1:1 coaching, workshops, and group learning Support learners across the full machine learning lifecycle, from problem scoping to deployment and monitoring Guide learners through End Point Assessment (EPA) and portfolio development Promote responsible AI, ethics, security, and governance Collaborate with employers and internal teams to ensure high‑quality learner outcomes What You’ll Bring Applied experience in machine learning, AI engineering, or data science Hands‑on experience with production ML systems Strong Python skills and experience with tools such as: scikit‑learn, PyTorch, TensorFlow Pandas, NumPy Hugging Face / generative AI tooling Understanding of MLOps, cloud platforms (AWS, Azure, GCP), and SQL A passion for coaching, mentoring, and developing others Why Join Corndel? Remote, flexible, and supportive working environment Opportunity to shape AI and ML capability across the UK Inclusive, values‑driven culture focused on quality and impact Apply now if you want to use your AI and machine learning expertise to make a meaningful impact through education. As part of our commitment to create an inclusive workplace where all colleagues can be their true selves, excel in their roles and progress in their careers, we recognise the importance of embracing the diversity in the working population and making Corndel a fully accessible employer. As Corndel is a Disability Confident Employer, we make sure that a fair and proportionate number of disabled applicants who meet the minimum criteria for a job will be offered an interview. If you would like to be considered under this scheme, when submitting your application, please select the appropriate option to let us know that you have a disability. Please note this does not mean that all disabled people are entitled to an interview, in some recruitment situations such as peak times, we might need to limit the overall numbers of interviews we offer. If you have a disability that might affect any stage of the recruitment process, please let us know about any help or reasonable adjustments you need before any interview or assessment. We’ll work with you to make sure any appropriate support is in place and make the application process a more positive experience. Corndel is committed to safeguarding and safer recruitment practices, and will undertake pre-employment checks on the successful candidate, including DBS Disclosure. For more information contact _

1Password is growing. We’ve surpassed $400M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. The Technical Account Management team ensures customers realize long-term value from their 1Password investment. We combine technical expertise with customer advocacy, guiding organizations from implementation through adoption, expansion, and renewal. Our team partners closely with Onboarding and Implementation, Customer Success Managers, Product, Support, and Enablement to ensure customers experience a seamless journey post-sale. We are customer-obsessed, technically curious, and committed to building deep, trusted partnerships that help organizations succeed securely with 1Password. As a Staff Technical Account Manager, you’ll own the technical side of the post-sale customer lifecycle. You’ll guide implementations, drive adoption, and act as a trusted technical advisor on identity, access, device trust, and SaaS security, driving tangible outcomes for our customers and helping shape the future of access management. You’ll take on our most strategic and complex accounts, mentor your fellow team members, and influence how we scale customer engagement, processes, and best practices across the organization. You’ll balance technical depth with business acumen, always with an eye on driving customer value and retention. As a Sr Staff level TAM, you’ll work alongside leadership to shape processes, drive product outcomes, and learning opportunities for the rest of the team while being the go-to subject matter expert cross-functionally for your particular product domain of expertise. How we’re using AI today Across GTM, we’re transforming the way we work with AI. We expect every seller, CSM, and team member to become a power user, using it daily to work smarter and move faster. AI is already embedded in how we operate – from real-time coaching that sharpens how we sell and interact with customers, to surfacing insights that help us anticipate needs – creating more time for meaningful customer engagement. If you’re excited to reshape how you think, make decisions, and drive growth with AI, you’ll feel right at home here. This is a remote opportunity within the UK. What we're looking for: 6+ years in a customer-facing technical role (Technical Account Manager, Solutions Engineer, or Implementation Consultant) within a SaaS or security focused B2B environment. Proven ability to lead technical onboarding and implementation conversations with both technical and business stakeholders throughout the entire post-sale journey with the most complex customer requirements. Strong communication, storytelling, and demo skills. You are able to translate complex technical concepts into clear business value. Extensive experience driving customer adoption, expansion, or renewal through proactive technical engagement. Advanced understanding of modern security frameworks and identity protocols (e.g.,SSO, SCIM, SAML, OAuth), and how they support compliance standards such as SOC 2, ISO 27001, and GDPR. Extensive experience with the identity space and a deep understanding of how the space is adapting to modern work environments. Must be able to work autonomously in a remote-first environment, while collaborating cross-functionally as a trusted subject matter expert in your domain. Strong familiarity with AI technologies and the ability to advise customers on evolving product roadmaps. Deep experience mentoring peers, shaping enablement, and improving customer lifecycle processes. Strong ability to develop new/improved team practices, processes, models, and metrics based on research and best practices. Experience with 1Password (or other password managers), SaaS lifecycle management, MDM or device posture tools is a strong plus. What you can expect: Own our most complex post-sale technical relationships, guiding customers from onboarding through adoption and renewal. Lead technical implementation, including integrations, configuration, and security reviews. Act as the technical advisor for our most complex accounts, ensuring customers are set up for long-term success. Partner with Customer Success Managers to proactively identify risks, drive expansion opportunities, and maximize customer value while minimizing contraction/churn and identifying opportunities to expand the use of our products. Contribute to strategic customer health reviews and success planning across the full 1Password ecosystem. As a Staff level IC, you’ll assist leadership in a team lead capacity by supporting admin tasks including, but not limited to, call assignments, technical 1:1s, and co-lead/lead team meetings. Represent the customer voice internally by partnering with Product, Marketing, and Support as a subject matter expert on our products. Create and maintain resources (playbooks, knowledge base, etc) that scale customer impact in close partnership with leadership. Mentor other team members, contribute to enablement, and shape scalable processes. Act as an escalation point for highly complex technical challenges and strategic accounts. Occasionally represent 1Password at customer meetings, industry events, or team offsites (some travel may be required). UK-based roles only: The annual base salary for this role is between £71,000 GBP and £103,000 GBP. This role is also immediate participation in 1Password's benefits program (health, dental, pension, and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, _. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. Our approach to work We recognize the power of both in person collaboration and remote work. Some roles are designated as remote-first, with an expectation that individuals work from their homes majority of the time, while others are designated as in-office roles, with an expectation of being on-site on a regular basis. We recognize that certain roles benefit from regular, in-person connection to support collaboration, team cohesion, and customer engagement. For all roles, occasional travel may be required. This includes things like: department-wide offsites, quarterly department meetings and periodic customer events. These events are typically held in varying locations across Canada, USA and/or EMEA. In leadership roles, you can expect to travel once per month on average. Note: All go-to market roles will have an in-person onboarding in Toronto. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing . For additional information see our _.

Senior Security Engineer (AI & DevOps) iProov provides science-based biometric solutions that enable the world’s most security-conscious organizations to streamline secure remote onboarding and authentication for digital and physical access. Our award-winning liveness technology and iSOC offer unmatched resilience against deepfakes and generative AI threats while ensuring effortless, scalable user experiences. Trusted by leading governments and enterprises, including the U.S. Department of Homeland Security, U.K. Home Office, GovTech Singapore, ING, and UBS, iProov sets the standard in biometric identity assurance. This global trust is built not only on our technology but on the strength of the people behind it. For us, diversity at iProov is about reflecting the customers we serve, holding the principles of equality and inclusion at the heart of everything we do and all that we stand for, embracing differences, creating possibilities, and growing together. We aim to foster a culture where individuals of all backgrounds feel confident in bringing their whole selves to work, feel included, and their talents are nurtured, empowering them to contribute fully to our purpose. The Role Reports to: Head of Cybersecurity Location: WeWork Waterloo - Hybrid ( Comp: $ (Base) + Company Performance Bonus (20%) + Share Options + US iProov Benefits The role was created specifically to provide the technical security depth that will allow us to accelerate our adoption of agentic AI, equipping developers and data scientists building our biometric products with the tools and workflows to use AI safely and at pace. You will work as the direct counterpart to our GRC-focused InfoSec Manager, owning the engineering and implementation side of our security posture across cloud infrastructure, developer workflows, AI systems, and our core security toolstack. This is a role for someone who has built and shipped software or infrastructure and brings that experience into a security context. • Architect and deploy the secure technical framework that governs the security controls for how our developers and scientists use agentic AI, including AI coding assistants, autonomous agents, and LLM-integrated tooling. Given that these systems can autonomously access data, execute code, and interact with external services, the guardrails you design will need to address a substantially broader attack surface than traditional AI tooling, and must hold up in a context where the underlying data is among the most sensitive we handle., • Be the primary technical security voice in decisions around the use and deployment of externally developed AI, ensuring the right controls are in place from the onset, • Continuously mature automated security controls into CI/CD pipelines and infrastructure-as-code deployments, championing the DevSecOps culture across a large engineering organisation., • Take hands-on ownership of our core security technology stack, including Wiz, CrowdStrike, Google SecOps, and Tailscale, ensuring these platforms are correctly configured, tuned, and integrated., • Drive continuous technical delivery of strategic security initiatives, systematically identifying, triaging, and closing gaps across our cloud environments, internal networks, and developer workflows., • Provide technical oversight of the security of the data pipelines feeding our internal AI systems and, critically, the permissions and access boundaries of agentic AI systems reaching out into other environments, enforcing the principle of least privilege, maintaining audit trails, and ensuring sensitive data and code integrity is handled with the rigour required., • Complement the work of our existing biometric and product focused Red Team by owning security coverage of the DevSecOps surface, the build pipeline, internal toolchain, cloud environments and developer infrastructure., • Act as the primary technical security partner to our GRC-focused InfoSec Manager, translating governance and compliance mandates into concrete, automated engineering controls., • Represent the technical security function in external audits. This includes presenting evidence of controls, articulating the security posture of our cloud and AI environments to auditors, and working closely with the InfoSec Manager to ensure the technical substance behind our compliance position is clearly and credibly communicated., • A foundational background in software engineering or DevOps before moving into a dedicated security role: you understand how code is written, tested, and deployed, and that experience is central to how you approach security problems., • Proven, hands-on experience securing modern cloud infrastructure and containerised environments, with a solid understanding of infrastructure-as-code principles and the security implications of how infrastructure is defined and provisioned., • Proficiency in deploying and administering enterprise security platforms, ideally with direct experience managing tools spanning CNAPP, EDR, SIEM, and zero-trust networking., • A heavy and active user of AI in both professional and personal contexts, including agentic AI tools and coding assistants, with a grounded understanding of the evolving AI threat landscape, including model supply chain risks, prompt injection, data exfiltration, agent misuse, and LLM-specific attack vectors., • Scripting and automation capability, particularly in Python, to build internal tooling, automate security checks, and reduce reliance on manual processes across the security function., • Prior experience or a demonstrated practical interest in securing AI workloads, data pipelines, and machine learning environments., • The communication skills to collaborate effectively with highly technical stakeholders, champion security initiatives without hindering developer productivity, and translate risk into language that resonates with both engineering peers and business leadership, including the confidence to present technical security evidence clearly in formal external audit settings., • 25 days Annual Leave, plus 8 Bank Holidays (more holiday with service - up to an extra 5 days off per year based on your continuous service), • Growth Shares allocated after passing probation (6 months of service), • Salary sacrifice schemes including: Pension, Cycle To Work and Electric Car Scheme, • Nursery Sacrifice Scheme, • Work Overseas Perk - Work globally for up to 2 weeks, • Life Assurance, • SmartHealth - Access to private GP, Psychologist, Nutritionist along with tailored fitness plans for both you and your family, • Benefit from personalized 1:1 career coaching with our in-house Occupational Psychologist, • Award winning L&D platform with personal allocated training budgets, • Enhanced paid family leave, • Pension - 5% employee, 3% employer, • Flexible hybrid working environment, • Free Barista Coffee/Tea, biscuits with fruit in the WeWork office, • Free access to WeWork discounts and free online well-being sessions, • Vitality Health - a range of options available on this below The Vitality Programme includes a number of reward benefits that all employees have access to as part of the plan, for example: • Private Health cover including Dental, Optical, and Audiology, • 50% off monthly gym memberships, • Apple watches significantly discounted based member vitality status, • Half price trainers with Runners Need, • Weekly rewards – Free coffee with Café Nero, • Monthly rewards – Free Cinema ticket, • Discounts on travel with Expedia (hotels) and Mr & Mrs Smith with discounts getting greater throughout the year based on a members vitality status, • Amazon prime free months based on activity, • Up to 25% cashback at Waitrose when buying healthy foods, • 75% off stays at Champneys Health Spas, • Allen Carr’s £299 no smoking programme for free, • Access to Vitality Healthy Mind with 30% off Headspace subscriptions and the ability to earn Vitality points for using Buddhify, Calm and Headspace, • Discounts on Weight Watchers, • 50%-80% off Comprehensive Private Health screenings Our Culture & Recruitment Process At iProov, we're incredibly proud of the culture we've carefully curated. Our culture enables diverse thought, curiosity and innovation. Our team strives to do everything to the highest standard possible to achieve the remarkable. To do that we need different perspectives, experiences and ideas alongside an environment where these are welcomed - we want everyone to feel confident in bringing their full capabilities to work. We firmly believe psychological safety is key to building and nurturing great teams. We’re a small and dynamic company, that means having the right skills is important, and we know that our best work emerges when people feel secure, welcomed and respected. As an equal opportunities employer, we encourage applications from people of all backgrounds. We’re committed to building a workforce that is representative of the people we serve. We will not put someone at a disadvantage or treat them less favourably because of race, color, national origin, ancestry, age, disability, creed, religion or belief, sex, sexual orientation, gender reassignment, marriage or civil partnership, or pregnancy and maternity. Our goal is to find people who are passionate about creating a safer, more secure world. Our recruitment process is designed to be fair and transparent, focusing solely on your qualifications, competence, and suitability for the role. We review all applications carefully and will be in touch with shortlisted candidates regarding the next steps in our interview process. If you need an adjustment for a disability or any other reason during the hiring process, please send a request to _