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General Summary The Senior Test Development Engineer is responsible for pre silicon and post silicon validation and production test development of Qualcomm IPs, ensuring readiness for new product introduction and high volume manufacturing. This role requires strong hardware and software expertise, hands on ATE experience, and advanced debugging and analytical skills. The engineer will work closely with cross functional teams including Analog, Digital, Firmware/Software, DFT, Validation (VI), and Systems Engineering to define and execute efficient and high quality test solutions. Focus areas include Audio, Power Management Units (PMU), charger, radio, auxiliary system functions and digital. The role expects independent technical ownership and execution with minimal supervision. Key Responsibilities Own and deliver production test development for analog and digital IPs across validation and manufacturing. Contribute to test requirements capture, test planning, and program level technical reviews. Design, develop, and support hardware and software test systems on Automatic Test Equipment (UltraFlex ATE). Develop automation and data analysis solutions to improve test coverage, yield, quality, and test time. Participate in pre silicon emulation and post silicon bring up, validation, and compliance testing. Debug complex test and hardware issues, including root cause analysis and defect investigation. Drive yield improvement, test time reduction, and continuous test program quality improvements. Review test programs, scripts, data analysis flows, and hardware designs. Analyse and present technical data for design, validation, and program level reviews. Collaborate proactively with global cross functional teams to meet program milestones. Provide technical guidance and mentorship to junior. Required Skills Strong programming skills in Python and C; experience with Visual Basic or similar ATE scripting languages is a plus. Solid understanding of analog and digital semiconductor circuits. Experience with analog and digital audio, PMU, and battery charging IPs. Working knowledge of Bluetooth radio architectures and test considerations. Hands on experience with lab equipment such as power supplies, multimeters, oscilloscopes, audio analysers, signal generators, and spectrum analysers. Strong analytical skills with the ability to extract clear insights from data. Proven ability to work effectively with cross functional. Preferred Skills Experience in semiconductor test labs or manufacturing test environments. Exposure to RTL verification (UVM/OVM, SystemVerilog assertions) or pre silicon emulation. Familiarity with revision control and tracking tools such as Perforce, DesignSync, ClearCase/ClearQuest, and Jira. Minimum Qualifications Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience. Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 1+ year of Hardware Engineering or related work experience. PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field. Master's degree in a relevant engineering discipline with 2+ years of industry experience in test development or post silicon validation. Bachelor's degree in a relevant engineering discipline with 3+ years of industry experience in test development or post silicon validation. References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies. Equal Opportunity & Accessibility Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities.

We're growing our team and looking for a Quality Technician who wants to work at the heart of a purpose led biotech company. Are you detail driven, quality obsessed, and ready to make a real world impact in healthcare? At LEX Diagnostics, we're shaking up the world of diagnostics. Our breakthrough technology delivers PCR test results in under 10 minutes, right at the point of care. It's science that moves fast, so that doctors and patients don't have to wait. As a Quality Technician, you'll be making sure our consumable medical products meet the gold standard, from the moment components arrive to the second our products are boxed and ready to ship. You'll work closely with production, engineering, and quality teams, helping to maintain product integrity, patient safety, and full compliance with ISO 13485 standards. What you'll be doing: Carrying out inspections on incoming materials and finished products. Supporting timely product releases with accurate documentation Conducting in-process and final checks on our consumables Preparing approved products for dispatch, safely and compliantly Identifying and escalating quality concerns early Keeping quality records up to date and inspection ready Contributing to improvements in processes, tools, and documentation What we're looking for: Experience working in a regulated environment (ISO 13485 or cGMP is a plus) A proactive mindset, you're not afraid to speak up when something looks off. Experience in cleanroom environments and quality inspections Comfortable adapting to new instructions and processes Familiarity with stock control and quality documentation Confidence using QMS tools and systems. Why join LEX? You'll be part of brilliant team of scientists and engineers, in a culture that encourages ownership, curiosity, and collaboration. Who are we and what does the future hold for you? LEX Diagnostics was founded in 2020. Our innovative system integrates effortlessly into primary care settings, bringing PCR-level sensitivity to urgent care centres, physicians, labs, and pharmacies. 2026 is seeing the elevation of the LEX Diagnostics teamfrom startup environment into a well supported, international diagnostics powerhouse without sacrificing the very thing that made our team successful, innovation. You'll help drive forward a platform within a growing team that needs to invest in your development and career growth. We also offer fantastic employee benefits including: Employer pension contribution of 10% (+3% personal contribution) Private Medical Insurance Life insurance 25 days' annual holiday plus bank holidays Discounts and memberships to local sports facilities and the theatre Into the details, but ready for the bigger picture? Come help us build something extraordinary. We'd love to hear from you.

About Chainlink Chainlink is the industry-standard oracle platform bringing the capital markets onchain and powering the majority of decentralized finance (DeFi). The Chainlink stack provides the essential data, interoperability, compliance, and privacy standards needed to power advanced blockchain use cases for institutional tokenized assets, lending, payments, stablecoins, and more. Since inventing decentralized oracle networks, Chainlink has enabled tens of trillions in transaction value and now secures the vast majority of DeFi. Many of the world's largest financial services institutions have also adopted Chainlink's standards and infrastructure, including Swift, Euroclear, Mastercard, Fidelity International, UBS, S&P Dow Jones Indices, FTSE Russell, WisdomTree, ANZ, and top protocols such as Aave, Lido, GMX and many others. Chainlink leverages a novel fee model where offchain and onchain revenue from enterprise adoption is converted to LINK tokens and stored in a strategic Chainlink Reserve. Learn more at chain.link. About the role The Senior Software Engineer will play a critical role in advancing the reliability, scalability, and operational excellence of the Chainlink Runtime Environment (CRE) platform. Working on foundational platform capabilities, this role will design and build distributed systems that enable resilient workflow execution while supporting the continued growth of one of Chainlink's flagship products. Your Impact Design, build, and operate highly scalable platform services that improve the reliability and performance of the CRE platform. Lead the development of production grade backend services and APIs that support multiple internal stakeholders and platform consumers. Drive architectural improvements that enable both vertical and horizontal platform scaling. Improve workflow execution durability and platform resilience through thoughtful engineering, rigorous testing, and operational excellence. Partner with engineering teams across the organization to deliver cross functional platform initiatives from architectural design through production deployment. Strengthen platform ownership by reducing operational silos, improving documentation, and increasing shared knowledge across the engineering organization. Contribute to improving platform reliability through engineering practices aligned with service reliability objectives and measurable operational outcomes. Required Skills Experience designing, building, and operating large scale production platforms. Advanced proficiency developing production systems in Go (Golang). Experience building production APIs and backend applications serving multiple stakeholders. Strong experience designing and operating distributed systems. Demonstrated ability to deliver reliable, high quality software through rigorous engineering practices. Strong systems thinking with the ability to evaluate architectural trade offs and solve complex technical problems. Self driven approach with a high degree of ownership, technical curiosity, and continuous learning. Excellent collaboration and communication skills within cross functional engineering environments. Preferred Skills Experience defining, measuring, and improving service reliability through SLOs and SLIs. Experience developing software using TypeScript, Solidity, or additional backend technologies. Strong interest in blockchain infrastructure and Web3 technologies. Experience building decentralized applications (dApps). Experience developing financial infrastructure, banking systems, or other mission critical distributed platforms. All roles with Chainlink Labs are global and remote based. Unless otherwise stated, we ask that you try to overlap some working hours with Eastern Standard Time (EST). We carefully review all applications and aim to provide a response to every candidate within two weeks after the job posting closes. The closing date is listed on the job advert, so we encourage you to take the time to thoughtfully prepare your application. We want to fully consider your experience and skills, and you will hear from us regarding the status of your application shortly after the closing date. Commitment to Equal Opportunity Chainlink Labs is an equal opportunity employer. All qualified applicants will receive equal consideration for employment in compliance with applicable laws, regulations, or ordinances. 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 via this form. Global Data Privacy Notice for Job Candidates and Applicants Information collected and processed as part of your Chainlink Labs Careers profile, and any job applications you choose to submit, is subject to our Recruiting Privacy Policy. By submitting your application, you are agreeing to our use and processing of your data as required.

HypervisionSurgical("Hypervision")is a spin-out from King's College London, founded by clinicians and experts in medical imaging and artificial intelligence. Using safe light alone, our mission is to equip surgeons with real-time, AI-driven tissue intelligence to improve precision and patient safety. We are pioneering the world's first regulatory-cleared real-time intraoperative spectral imaging platform, combining on-chip spectral sensing with high-speed AI analytics at over 60 frames per second. Seamlessly integrating into existing surgical vision systems, our technology transforms standard cameras into intelligent, data-rich tools, revealing anatomical, physiological, and pathological information beyond human vision. Certified for both open and minimally invasive surgery, our platform achievedUKCA certificationandFDA clearancein 2025 under a newly established AI/ML productcode, andwas admitted into the FDA's Safer Technology Program. With multi-centre clinical evaluations underway and strategic partnershipswith world-leading technology and surgical manufactures,includingimecandZEISS Ventures,Hypervisionis shaping the future of data-driven surgery. Hypervision Surgical process all personal data in accordance with the UK GDPR and Data Protection Act 2018. For further information on how we collect, use and protect your data, please refer to our Applicant Privacy Notice. The Role We are seeking a curious, hands-on and motivated individual to join us as our Imaging Systems Engineer, to play a key role in the development, validation, and deployment of our surgical vision platform, spanning benchtop experimentation, data acquisition, system validation, and real-world system support. In this role, you will work at the intersection of optical imaging, instrumentation, and scientific software, supporting system validation and ensuring that our cameras, scopes, and accessories are characterised, calibrated, and validated to the standards required for surgical use. You will contribute to the design and execution of experiments for system-level characterisation, alongside the acquisition of high-quality reference datasets to support algorithm development and performance benchmarking. A particular focus of your work will be characterising the spectral performance and image quality of our surgical vision system. In addition, you will help translate benchtop performance into real-world settings by supporting system deployment, troubleshooting, and technical interactions with clinical and external partners. Working closely with our research scientists and system integration engineers, you will plan and execute benchtop experiments, build the automation that makes those experiments robust and repeatable, and produce the analyses that turn raw measurements into actionable engineering decisions. Your work will be foundational to the reliability and performance of our intraoperative imaging platform, supporting both ongoing maintenance of deployed clinical systems and the development of next-generation hardware. You will contribute to the technical records and performance baselines that underpin our regulatory submissions and post-market surveillance activities. Key Responsibilities Optical & Spectral Characterisation Plan, set up, and execute optical and imaging benchtop tests for new camera platforms, light sources, scopes, and accessories. Collect optical and spectral performance data and produce the analyses to interpret them, referencing defined performance metrics and acceptance criteria. Maintain accurate and up-to-date technical documentation of benchtop procedures, characterisation results, and component performance baselines, to the standard required for regulatory submissions. Acquisition Automation & Integration Design and implement automated data-acquisition routines in Python (or similar) for repeatable benchtop and integration testing, including scripted control of cameras, light sources, motion stages, and spectrometers via their respective hardware interfaces and SDKs. Develop and maintain scripts that link multiple instruments into reproducible, well-documented measurement workflows. Contribute to internal tooling that lowers the friction of routine characterisation, calibration, maintenance, and verification work across the team. Calibration & Maintenance Cycle Take ownership of routine calibration, maintenance and quality control across deployed clinical systems, including management of calibration schedules, traceability to reference standards, and clear pass/fail records. Support the development and formalisation of calibration and maintenance procedures as the number of deployed systems grows. Investigate anomalies and perform root-cause analysis on imaging performance issues identified in the lab or in the field. Cross-Functional Collaboration Work closely with research scientists, system integration engineers, software developers, clinical application specialists and the clinical development team members to bring learnings from the bench into product and pipeline improvements. Translate findings from characterisation and testing into clear, actionable input for engineering and product decisions. Contribute to test documentation and evidence packages in support of verification, validation, and regulatory submissions. About You You are a hands-on, methodical engineer who enjoys working in the lab, assembling optics-based rigs and writing scripts that makes lab work repeatable. You are comfortable bridging hardware and software, enjoying wiring up instrumentation, scripting acquisition pipelines, and analysing the resulting data. You take pride in well-characterised systems, well-documented procedures, and measurements that other people can rely on, including in regulated contexts where the quality of your records matters as much as the quality of your data. You bring: BSc or MSc (with strong practical experience) in Physics, Optics, Biomedical Engineering, Electrical Engineering, or a related technical discipline Hands-on experience with optical imaging systems and optics-bench measurements, including spectral and transmission characterisation, gain and exposure characterisation, and resolution or image quality assessment. Experience working with image and video data, including basic processing, quality assessment, and debugging of imaging pipelines. Comfortable interacting with clinicians, customers, or external partners to diagnose issues and translate them into engineering improvements Proficiency in Python (or similar) for instrument control, benchtop automation, and data analysis using scientific libraries (NumPy, SciPy, Pandas); experience interfacing Python with hardware via vendor SDKs or standard protocols Comfortable bridging hardware and software - wiring up cameras, light sources, and motion control to scripted acquisition pipelines Strong attention to detail and a methodical, documentation-first approach to lab work Excellent oral and written communication skills Analytical thinker, attentive to details, creative and a team player Experience working with hyperspectral, multispectral, or other scientific imaging cameras, including spectral and per-band performance characterisation Experience working in a regulated industry, preferably MedTech, including familiarity with ISO 13485-compliant laboratory practice Experience working with liquid tissue phantoms, tissue-mimicking optical materials, or comparable experimental imaging targets Bonus points if you bring a special talent, interest, language, or unique life experience to the team. What We Offer The opportunity to make a direct contribution to patient care and deliver real-world surgical impact Access to state-of-the-art surgical development facilities at St Thomas' MedTech Hub, including hospitals, operating rooms, labs, and computational resources, with offices located at the London Institute for Healthcare Engineering Equity participation via share option scheme 25 days of annual leave plus bank holidays Hybrid working arrangements, tailored with your manager to suit the needs of the role Employee Assistance Programme for wellbeing, legal, and financial support Cycle to Work Scheme and Workplace Nursery Benefits £150 annual tech stipend for productivity and office essentials Complimentary office snacks and drinks Monthly team socials in an inclusive, collaborative culture

Software Security Architect - CRA (m/f/d)Applylocations: Gratkorn: Glasgowtime type: Full timeposted on: Posted Todayjob requisition id: R-Join one of the largest industrial security teams and build technology that protects real devices, worldwide.At NXP's Competence Center Crypto & Security, we design, build, and deliver end-to-end security - from innovation to architecture to products in the field.If you're a security engineer who wants impact, on real life security solutions, we'd love to hear from you.Our Chief Technology Office (CTO) organization drives innovation across NXP and supports Business Units with the tools, knowledge, and processes required to create secure products for our customers. The Security Architecture Team within the Competence Center Crypto & Security (CC C&S) plays a key role in enabling secure products across the Automotive, Industrial, IoT, Mobile, and Edge Processing markets. Your Role Join our team and support product development teams in gathering requirements, specifying, designing, reviewing, verifying, and implementing security solutions for NXP products.As a Software Security Architect, you will help ensure that security is built into products throughout their entire lifecycle. You will collaborate with product teams, security experts, and stakeholders across the company to develop robust security architectures, assess security risks, and support compliance with relevant cybersecurity standards and regulations, including the Cyber Resilience Act (CRA). Your Responsibilities Specify, design, review, and evolve system software security architectures and implementations. Conduct threat analysis, attack surface analysis, and security risk assessments for embedded systems and software platforms. Define security requirements and establish traceability from security objectives to implementation and verification activities. Integrate security-by-design principles throughout the complete product lifecycle. Support secure development lifecycle (SDL) activities, including architecture reviews, security assessments, and security verification. Analyze security vulnerabilities and defects, perform root cause analysis, and define appropriate mitigations and countermeasures. Define and review security mechanisms such as secure boot, secure update, cryptographic services, key management, device identity, and root-of-trust solutions. Translate cybersecurity standards, regulatory requirements, and industry best practices into practical engineering requirements and architectures. Support compliance activities related to product security regulations and standards, including the Cyber Resilience Act (CRA), through security documentation, evidence generation, and risk management activities. Drive adoption of security best practices across project teams and product lines. Serve as a technical interface to customers, evaluation labs, compliance experts, and product development teams. Contribute to the continuous improvement of NXP's product security methodologies, frameworks, and processes. Your Profile Master's degree, PhD, or equivalent experience in Computer Science, Cybersecurity, Software Engineering, Electronics, Mathematics, or a related technical field. Strong background in cybersecurity and software security architecture. Extensive experience in embedded software development using C, Rust, and/or assembly language. Strong understanding of SoC software stacks, middleware, firmware, operating systems, and applications. Experience with threat modelling, security risk assessment, and secure system design. Familiarity with security technologies such as: + Secure Boot + Cryptography and Key Management + Device Identity and Root of Trust + Firmware Protection + Secure Update Mechanisms Familiarity with cybersecurity regulations, standards, and certification schemes applicable to embedded and connected products. Strong analytical skills and ability to address complex system-level security challenges. Experience or interest in AI security is a plus. Independent working style with a willingness to listen, learn, and adapt. Excellent communication and stakeholder management skills. Strong team player with the ability to work effectively in global and cross-functional environments. Preferred Qualifications Experience in one or more of the following areas is highly desirable: Security architecture for automotive, industrial, or IoT products. Product security regulations and compliance frameworks, including the Cyber Resilience Act (CRA). Secure Development Lifecycle (SDL) practices. Security certification frameworks such as PSA Certified, SESIP, or Common Criteria. Vulnerability management, penetration testing, or security assessments. Hardware/software security co-design. Artificial Intelligence and AI security. Creating Secure Connections and Infrastructure for a Smarter World NXP Semiconductors N.V. (NASDAQ: NXPI) makes products and environments safer, more sustainable, and more secure with innovative connectivity and edge processing solutions for a smarter world.We are in the business of better. Not just better technologies, but better innovations to improve society. As the world leader in secure connectivity and processing solutions for embedded applications, NXP is solving the world's most complex technology challenges to accelerate business innovation, enhance how we work, and advance how we live.Ready to create a smarter world? Visit our career website and follow us on social: LinkedIn , Facebook , and X .To learn more bout our products visit our showroom here .Please note: The successful candidate may/will be responsible for security related tasks. The assignment may/will be in scope of security certifications, therefore a conscious and reliable way of working is necessary.For applications in Gratkorn: NXP provides market competitive compensation according to the benchmarking of the electronic and semiconductor industry. Due to the Austrian Equal Treatment Act we are obligated to state the employment group of our applicable collective bargaining agreement (CBA) "Kollektivvertrag für Angestellte Gewerbe und Handwerk und in der Dienstleistung", this position (fulltime) is graded in Employment Group V after 6 years. Your individual experiences and expectations will be considered in the application process. Moreover, we provide attractive benefits to our employees like home office, flexible working time, meal benefits and more.More information about NXP in Austria

What we do. Electric Car Leasing Why we do it. Greener. Fairer. Future. At Octopus Electric Vehicles we've built a data platform that provides data services to all areas of our business. The aim of the platform is to enable self-service of data analytics to data hungry internal users as well as automation of all our data workflows - from simple ETL jobs to ML training and prediction. The data team at OEV is growing at speed. We have invested time and resources on establishing a core data platform, and are now leveraging technology to automate processes and reporting, so we can focus on improving how our data platform works as a system - from improving data latency and reliability, to thinking about making our data ready for productionised data science applications. We are looking for an experienced Senior data engineer that is equally passionate about using technology to grow the business and decarbonise the UK's fleet. This is a fantastic opportunity to work on data problems that genuinely move us closer to Net Zero with a company that is passionate about building great technology to change the way customers travel sustainably. What you'll do Own and optimise our platform architecture (improve reliability, scalability, maintainability, etc) Build new data sources and data pipelines that deliver key data and insights to the business (this will include integration with third party systems and ingestion through APIs) Scope and deliver new data engineering projects in collaboration with business stakeholders Develop and deploy ML infrastructure to help build out our ever-growing AI requirements and use cases Collaborate closely with our dev teams to build seamless integrations between our back-end databases and our data platform Shape the direction of our growing team and coach team members on best practices What you'll have You don't need experience with electric vehicles (we can teach you that!), but having worked in similar environments might be a bonus. First and foremost, a passion for decarbonisation Ability to work with ambiguity and own problems end-to-end A passion for writing high quality code and building lean processes Experience with distributed data processing Experience with monitoring, testing, and data quality Experience building robust pipelines from diverse sources e.g. parquet, SQL & no-SQL databases, API endpoints It would be helpful to have experience/expertise/knowledge in the following: Python AWS Kubernetes Spark & distributed computing dbt Terraform Data Warehousing (we use Databricks but experience with other platforms is fine) MLOps implementation (desirable but not required) Airflow (or other orchestration tooling) Governance Things to note Just to let you know, we are dog friendly company so you may see our 4 legged friends in the offices - feel free to bring yours! Rest assured though, we've taken lots of precautions for those who have allergies We use AI to help us assess applications fairly and objectively. We're totally fine with you using AI as a tool to help prepare too. That said, when we get to the interview and assessment stage, we're really interested in hearing your unique perspective and real-world stories. That's the stuff we can't get from a bot or a prompt! About us The electric revolution has arrived - and from 2035 you'll no longer be able to buy a new petrol or diesel car in the UK. We're building a whole new way for drivers to join the electric charge and not only learn about and shop for their EV online, but experience a 'lease for life' through an industry changing customer experience. This is the chance to join one of the UK's most exciting start ups - making it easy for individuals and businesses to go electric by getting their car, charger and energy all in one cracking deal. Octopus Electric Vehicles launched in 2018 to make it seamless to switch to cleaner, greener driving. Our mission is to drive sustainable change, decarbonise the planet and provide our customers with fair pricing and a fantastic experience. We're an Octopus Energy company-an innovative new energy supplier. We are part of the Octopus Energy Group, which seeks to improve the lives of millions of people by transforming the industries we operate in. The Octopus Group incorporates Octopus Energy, Octopus Healthcare, Octopus Investments, Octopus Property, Octopus Ventures and Octopus Labs. If this sounds like you then we'd love to hear from you. Are you ready for a career with us? We want to ensure you have all the tools and environment you need to unleash your potential. Need any specific accommodations? Whether you require specific accommodations or have a unique preference, let us know, and we'll do what we can to customise your interview process for comfort and maximum magic! Studies have shown that some groups of people, like women, are less likely to apply to a role unless they meet 100% of the job requirements. Whoever you are, if you like one of our jobs, we encourage you to apply as you might just be the candidate we hire. Across Octopus, we're looking for genuinely decent people who are honest and empathetic. Our people are our strongest asset and the unique skills and perspectives people bring to the team are the driving force of our success. As an equal opportunity employer, we do not discriminate on the basis of any protected attribute. Our commitment is to provide equal opportunities, an inclusive work environment, and fairness for everyone.

HypervisionSurgical("Hypervision")is a spin-out from King's College London, founded by clinicians and experts in medical imaging and artificial intelligence. Using safe light alone, our mission is to equip surgeons with real-time, AI-driven tissue intelligence to improve precision and patient safety. We are pioneering the world's first regulatory-cleared real-time intraoperative spectral imaging platform, combining on-chip spectral sensing with high-speed AI analytics at over 60 frames per second. Seamlessly integrating into existing surgical vision systems, our technology transforms standard cameras into intelligent, data-rich tools, revealing anatomical, physiological, and pathological information beyond human vision. Certified for both open and minimally invasive surgery, our platform achievedUKCA certificationandFDA clearancein 2025 under a newly established AI/ML productcode, andwas admitted into the FDA's Safer Technology Program. With multi-centre clinical evaluations underway and strategic partnershipswith world-leading technology and surgical manufactures,includingimecandZEISS Ventures,Hypervisionis shaping the future of data-driven surgery. Hypervision Surgical process all personal data in accordance with the UK GDPR and Data Protection Act 2018. For further information on how we collect, use and protect your data, please refer to our Applicant Privacy Notice. The role We are seeking an experienced Senior Machine Learning Engineer to support the development and deployment of our AI/ML surgical vision platform, taking algorithms from research prototype to production deployment, and building the data pipelines that turn our hyperspectral imaging system into a continuously improving clinical tool. As a Senior Machine Learning Engineer, you will work alongside our research scientists, engineers, and clinical development team to shape both the algorithms and the platform that delivers them. In particular, you will contribute architecturally and in a hands-on capacity to the design, training, evaluation, and production deployment of machine learning models for hyperspectral image processing, including image reconstruction, tissue characterisation, and semantic segmentation design and build the data pipelines that turn raw clinical recordings into structured, governed training datasets, supporting continuous training, model improvement, and re-validation cycles architect and operate the production ML stack, including model versioning, deployment, monitoring, drift detection, and rollback, for our cloud-enabled, regulatory-cleared surgical imaging platform establish and maintain MLOps best practices, including reproducible training, dataset governance, experiment tracking, model documentation, that scale across multiple algorithms, sensors, and clinical indications mentor more junior research scientists and engineers identify and surface novel features in support of patenting activities work closely with our software development and regulatory team for efficient integration from R&D to deployment At Hypervision Surgical, we welcome candidates who have the core skills for the post and are keen to learn and grow with us. We are committed to creating an inclusive environment where a diverse mix of talented people come and enjoy working with each other. By working together, we will change the way surgery is performed and improve patient care. A bitaboutyou PhD or MSc in Machine Learning, Physics, Mathematics, Computer Vision, or related technical discipline 6+ years industry experience designing, training, evaluating, and deploying machine learning models, ideally for vision applications in a regulated medical context Demonstrated track record of taking ML systems from research prototype to production deployment at scale Strong experience building and maintaining data pipelines for continuous training, with a focus on reproducibility, dataset versioning, and efficient access Working knowledge of cloud platforms (AWS, GCP, or Azure) and modern MLOps tooling (e.g. MLflow, Weights & Biases, DVC, Airflow) Strong experience with Python and associated scientific software packages such as PyTorch, OpenCV, Pandas, SciPy, NumPy, SciKit-learn, etc. Strong software engineering practices including version control, code review, software testing methodologies, and continuous integration; experience with IEC 62304 is particularly desirable Excellent oral and written communication skills, and comfort working at the interface between research, engineering, regulatory, and clinical teams Experience mentoring or leading junior engineers or scientists Analytical thinker, attentive to details, creative and team player Bonus points if you bring a special talent, interest, new language, or unique life experience to the team. What we offer The opportunity to make a direct contribution to patient care and deliver real-world surgical impact Access to state-of-the-art surgical development facilities at St Thomas' MedTech Hub, including hospitals, operating rooms, labs, and computational resources, with offices located at the London Institute for Healthcare Engineering Equity participation via share option scheme 25 days of annual leave plus bank holidays Hybrid working arrangements, tailored with your manager to suit the needs of the role Employee Assistance Programme for wellbeing, legal, and financial support Cycle to Work Scheme and Workplace Nursery Benefits £150 annual tech stipend for productivity and office essentials Complimentary office snacks and drinks Monthly team socials in an inclusive, collaborative culture

What we do. Electric Car Leasing Why we do it. Greener. Fairer. Future. At Octopus Electric Vehicles we've built a data platform that provides data services to all areas of our business. The aim of the platform is to enable self-service of data analytics to data hungry internal users as well as automation of all our data workflows - from simple ETL jobs to ML training and prediction. The data team at OEV is growing at speed. We have invested time and resources on establishing a core data platform, and are now leveraging technology to automate processes and reporting, so we can focus on improving how our data platform works as a system - from improving data latency and reliability, to thinking about making our data ready for productionised data science applications. We are looking for a data engineer who has operated at Staff/Tech Lead level that is equally passionate about using technology to grow the business and decarbonise the UK's fleet. This is a fantastic opportunity to work on data problems that genuinely move us closer to Net Zero with a company that is passionate about building great technology to change the way customers travel sustainably. What you'll do Own and optimise our platform architecture (improve reliability, scalability, maintainability, etc) Shape the direction of our growing team and coach team members on best practices. Shape engineering outputs and raising the technical bar of the organization without losing touch with hands-on engineering Interact with Senior Leadership to present your data projects back to them Build new data sources and data pipelines that deliver key data and insights to the business (this will include integration with third party systems and ingestion through APIs) Scope and deliver new data engineering projects in collaboration with business stakeholders Develop and deploy ML infrastructure to help build out our ever-growing AI requirements and use cases Collaborate closely with our dev teams to build seamless integrations between our back-end databases and our data platform What you'll have You don't need experience with electric vehicles (we can teach you that!), but having worked in similar environments might be a bonus. First and foremost, a passion for decarbonisation Ability to work with ambiguity and own problems end-to-end Experience managing/mentoring/coaching high performance data teams A passion for writing high quality code and building lean processes Experience with distributed data processing Experience with monitoring, testing, and data quality Experience building robust pipelines from diverse sources e.g. parquet, SQL & no-SQL databases, API endpoints It would be helpful to have experience/expertise/knowledge in the following: Python AWS Kubernetes Spark & distributed computing dbt Terraform Data Warehousing (we use Databricks but experience with other platforms is fine) MLOps implementation (desirable but not required) Airflow (or other orchestration tooling) Governance Why else you'll love it here Wondering what the salary for this role is? Just ask us! On a call with one of our recruiters it's something we always cover as we genuinely want to match your experience with the correct salary. The reason why we don't advertise is because we honestly have a degree of flexibility and would never want salary to be a reason why someone doesn't apply to Octopus - what's more important to us is finding the right octofit! Octopus Energy Group is a unique culture. An organisation where people learn, decide, and build quicker. Where people work with autonomy, alongside a wide range of amazing co-owners, on projects that break new ground. We want your hard work to be rewarded with perks you actually care about! Visit our perks hub - Octopus Employee Benefits Octopus Electric Vehicles, part of the Octopus Energy Group, won the Sunday Times best company to work for in 2024. We were named 6th out of the top 100 start-ups to work for by Tempo in 2025 and on Glassdoor we were voted 50 best places to work in 2022. Our Group CEO, Greg has recorded a podcast about our culture and how we empower our people. We've also been placed in the top 10 companies for senior leadership Things to note Just to let you know, we are dog friendly company so you may see our 4 legged friends in the offices - feel free to bring yours! Rest assured though, we've taken lots of precautions for those who have allergies We use AI to help us assess applications fairly and objectively. We're totally fine with you using AI as a tool to help prepare too. That said, when we get to the interview and assessment stage, we're really interested in hearing your unique perspective and real-world stories. That's the stuff we can't get from a bot or a prompt! About us The electric revolution has arrived - and from 2035 you'll no longer be able to buy a new petrol or diesel car in the UK. We're building a whole new way for drivers to join the electric charge and not only learn about and shop for their EV online, but experience a 'lease for life' through an industry changing customer experience. This is the chance to join one of the UK's most exciting start-ups - making it easy for individuals and businesses to go electric by getting their car, charger and energy all in one cracking deal. Octopus Electric Vehicles launched in 2018 to make it seamless to switch to cleaner, greener driving. Our mission is to drive sustainable change, decarbonise the planet and provide our customers with fair pricing and a fantastic experience. We're an Octopus Energy company-an innovative new energy supplier. We are part of the Octopus Energy Group, which seeks to improve the lives of millions of people by transforming the industries we operate in. The Octopus Group incorporates Octopus Energy, Octopus Healthcare, Octopus Investments, Octopus Property, Octopus Ventures and Octopus Labs. If this sounds like you then we'd love to hear from you. Are you ready for a career with us? We want to ensure you have all the tools and environment you need to unleash your potential.Need any specific accommodations? Whether you require specific accommodations or have a unique preference, let us know, and we'll do what we can to customise your interview process for comfort and maximum magic! Studies have shown that some groups of people, like women, are less likely to apply to a role unless they meet 100% of the job requirements. Whoever you are, if you like one of our jobs, we encourage you to apply as you might just be the candidate we hire. Across Octopus, we're looking for genuinely decent people who are honest and empathetic. Our people are our strongest asset and the unique skills and perspectives people bring to the team are the driving force of our success. As an equal opportunity employer, we do not discriminate on the basis of any protected attribute. Our commitment is to provide equal opportunities, an inclusive work environment, and fairness for everyone.

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 LinkedIn and X. 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 remote opportunity, and we would be interested in applicants located in Spain, Sweden, UK, Ireland or Germany. The Opportunity: At Grafana Labs, we build observability tools that help users understand, respond to, and improve their systems - regardless of scale, complexity, or tech stack. We recently started a skunkworks initiative with a mission to bring observability to the rest of the business. Our goal is to make Grafana the single best place where humans and AI agents understand and act on real-time data from across the enterprise. As part of this initiative, we are building an AI-native data intelligence system that gives agents reliable, governed access to enterprise context. This system helps agents retrieve the right data, metadata, definitions, lineage, quality signals, and institutional knowledge without every agent builder having to maintain their own brittle context files. The principle is simple: the context system retrieves, agents decide, and data teams maintain the intelligence. The new team is a mix of seasoned Grafanistas and new hires. We operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early - while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership. We're looking for a Staff-level Backend Engineer to help build the first production services for this context layer management system. You will design and ship the core backend architecture that powers ingestion, context storage, retrieval APIs, and agent-facing integrations. This is an early-stage role on a high-autonomy team, so you should be comfortable working through ambiguity, making pragmatic architectural decisions, and building systems that can evolve from internal dogfooding to production-grade SaaS. As the team matures, there's a broad opportunity to expand or redefine this role based on impact and initiative. What You'll Be Doing: Build the core backend services: Design, implement, test, and operate the first services for context ingestion, context indexing, retrieval orchestration, API access, source configuration, and system administration. Create a scalable SaaS foundation: Help define and build the architecture for a multi-tenant service, including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries. Power agent-facing retrieval workflows: Build APIs and service interfaces that allow AI agents, MCP tools, CLIs, and internal applications to retrieve relevant context, provenance, confidence signals, and warnings. Work across product and infrastructure: Partner with the team to make practical tradeoffs between fast experimentation and long-term reliability, especially as the project moves from prototype to production. Operate what you build: Instrument services with metrics, logs, traces, alerts, and dashboards. Use observability tools to understand system behavior and improve reliability. Contribute to technical direction: Help shape the architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for a new product area. Effective communication: You'll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams. Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows. What Makes You a Great Fit: Strong engineering skills: Solid experience building production-grade, user-facing software systems. You're a self-starter, capable of tackling complex engineering problems and making UI design decisions with minimal supervision. AI experience with a practical mindset: You're familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory. Quick iteration and experimentation: You're comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset. Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined. Collaborative attitude: You communicate effectively with your peers. You're open to feedback, and you bring a solutions-oriented mindset to the table. Experience with LLMs, prompt engineering, and building applications powered by GenAI. Proven track record of delivering software that made it into production and is actively used by users. Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure). Experience using observability tools to understand and troubleshoot system behavior. Bonus Points for: Experience building or working with agent frameworks or multi agent workflows. Experience as a data analyst or work with data platforms (e.g., Looker, Tableau, PowerBI, Snowflake, DataBricks) Experience building tools for data engineering. 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 here. 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 . click apply for full job details

Senior ML Engineer Recommender Systems, Developer Advocacy UK Remote 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. 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 Own a real time recommendation service Build and operate applied models Develop, validate, version, monitor, and iterate on models used by the recommendation system Own model training & serving Define what recommendation quality means Develop offline, online, and longitudinal measures of recommendation performance 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: Strong candidates should demonstrate credible ability across all three core areas below and be particularly strong in at least two. Recommendation and personalization science: built recommendation, ranking, search, matching, propensity, or next best action systems; 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: personally built, validated, monitored, and iterated on models used in a product or operational environment; work effectively in version controlled codebases and collaborate with engineers on production implementation. Must also be a strong product thinker and technical communicator. Must be able to 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. For information about how your personal data is used once you've applied to a job, check out our privacy policy.

Founding Security Engineer (Application & Infrastructure) Build the shield that makes Enterprise Superintelligence trustworthy London / Remote • Full-time • Pavo Labs About Pavo Pavo is building Enterprise Superintelligence: compounding systems that take ownership of business outcomes and work with humans to deliver them. We believe that while foundation models are necessary, they are not sufficient. The hard problem is systems intelligence: end-to-end architectures that understand a company's code, data, and decisions, and improve themselves through experience. We are assembling a small, senior team of researchers and engineers obsessed with systems-first intelligence. Our current team consists of PhDs and ML engineers from top applied ML and coding agent companies, with a heritage of shipping systems at Spotify, ShareChat, and Sourcegraph scale. Our team has built impressive momentum with a small group of highly capable engineers and researchers. The Opportunity As a Founding Security Engineer, you will help establish the security foundations for Pavo's agentic and knowledge systems. You help secure autonomous systems that write code, execute tools, and interact with sensitive enterprise data. This role sits at the bleeding edge of AI Security, wherein you harden the infrastructure that allows our knowledge and agentic systems to work safely inside Fortune 500 environments. You will build the shield that makes Enterprise Superintelligence trustworthy. What You'll Build You will own the holistic security posture of the Pavo platform, spanning Application, AI, and Infrastructure security: AI & Application Security: Lead the defense against LLM-specific vulnerabilities (Prompt Injection, Insecure Output Handling) and standard web threats (OWASP Top 10). Implement "Guardrails" that sanitize agent inputs/outputs and conduct continuous red-teaming of our agent behaviors. Secure SDLC & DevSecOps: Embed security into our CI/CD pipelines without slowing down our high-velocity engineering team. Integrate automated SAST/DAST scanning, dependency management (SCA), and secret detection into our daily workflow. Cloud & Infrastructure Hardening: Work closely with Systems Engineers to secure our Kubernetes clusters and compute environments. Design strict IAM policies (least privilege for agents) and ensure network isolation so that agent execution environments are impenetrable. Vulnerability Management: Own the lifecycle of vulnerability detection and remediation. Manage bug bounty programs, coordinate third-party pentests, and ensure our open-source dependencies (and the code our agents generate) are secure. Enterprise Trust: Help design features that give our customers confidence, such as audit logging, data residency controls, and rigorous access governance. What We Are Looking For We are looking for a security practitioner who is a builder at heart-someone who would rather ship a secure fix than write a policy document. Core Qualifications Experience: 5+ years of experience in Security Engineering, with a strong focus on Application Security and Cloud Security. AppSec Proficiency: Deep understanding of modern web vulnerabilities (CSRF, SSRF, XSS) and experience utilizing tools like Burp Suite, Semgrep, or CodeQL. Review code in Python or Go and spot logic flaws that scanners miss. AI Security Curiosity: Understand the unique risks of LLMs. Familiar with the OWASP Top 10 for LLMs and have explored defenses against prompt injection and data exfiltration in agentic systems. Cloud Native Security: Hands-on experience securing AWS/GCP environments and Kubernetes clusters. Knowledge of container security (capabilities, seccomp, namespaces) and how to secure microservices architectures. Offensive Mindset: Experience with Red Teaming or CTFs. Think like an attacker to uncover weaknesses in business logic and agent reasoning. Nice to Have Experience securing execution sandboxes (gVisor, Firecracker, or similar). Background in "Purple Teaming"-collaborating with developers to fix what you break. Contributions to the open-source security community or research on AI safety. Knowledge of compliance frameworks (SOC 2, ISO 27001) in an early-stage startup context. Why Join Us Founding Equity: Significant ownership in a company tackling the next layer of the AI stack. Frontier Security: Define the security standards for a new category of software-autonomous enterprise agents. World-Class Team: Collaborate with a dense talent cluster of researchers and engineers who have shipped products serving hundreds of millions of users. Pavo is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Minimum qualifications Bachelor's degree in Computer Science, a related field, or equivalent practical experience. 1 year of experience with software development in one or more programming languages during coursework/projects, research, internships, or practical experience in school, work, or Open Source projects. 1 year of experience with data structures and algorithms. Preferred qualifications Master's degree in Computer Science or Engineering. About the job Site Reliability Engineering (SRE) combines software and systems engineering to build and run large-scale, massively distributed, fault-tolerant systems. SRE ensures that the company Cloud's services-both our internally critical and our externally-visible systems-have reliability, uptime appropriate to customer's needs and a fast rate of improvement. Additionally SRE's will keep an ever-watchful eye on our systems capacity and performance. Much of our software development focuses on optimizing existing systems, building infrastructure and eliminating work through automation. On the SRE team, you'll have the opportunity to manage the complex challenges of scale which are unique to the company Cloud, while using your expertise in coding, algorithms, complexity analysis and large-scale system design. SRE's culture of intellectual curiosity, problem solving and openness is key to its success. Our organization brings together people with a wide variety of backgrounds, experiences and perspectives. We encourage them to collaborate, think big and take risks in a blame-free environment. We promote self-direction to work on meaningful projects, while we also strive to create an environment that provides the support and mentorship needed to learn and grow. Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of the company platforms, we make the company's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible. Responsibilities Write product or system development code. Review code developed by other engineers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality. Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies. The company is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also the company's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Mon-Fri, 37.5 hours per week. 50% hybrid MintNeuro is an innovative startup at the intersection of neurotechnology and semiconductors. We are pioneering integrated circuit solutions for implantable medical devices targeting the management and treatment of neurological conditions. Our goal is to deliver scalable, less invasive, and highly efficient devices that transform neurological care. Role The primary responsibility of this role is to build software tools and platform capabilities around MintNeuro chips that streamline internal workflows and improve customer experience. The role will work closely with the product, application, and engineering teams to build an ecosystem around MintNeuro chips and to translate hardware capabilities into usable, reliable software solutions for both internal users and external customers. Initially, the role will focus on developing software for MintNeuro's in-house hardware and evaluation platforms. This includes: Software for customers to use with MintNeuro evaluation kits, supporting product demonstrations and customer evaluation of MintNeuro chips. SDKs, APIs, and supporting tools to enable customer integration of MintNeuro chips into their own systems. Control, configuration, debug, and automation software to support internal testing, validation, and characterisation workflows. The role is expected to contribute to the usability, documentation, maintainability, and overall quality of these software tools, ensuring they are robust, reusable, and suitable for both internal and customer-facing use. As the product line grows, the role will help evolve these tools into a reusable software platform that accelerates the development of companion software for future products. Over time, this may also include developing more data-driven capabilities to collect product feedback, monitor system performance, and generate insights that improve product performance and customer experience. Duties and responsibilities Develop customer-facing software for MintNeuro evaluation kits to support product demonstrations and customer evaluations. Develop and maintain SDKs, APIs, libraries, and software tools that enable customers to integrate MintNeuro chips into their own systems. Build control, configuration, debug, and automation software to support internal testing, validation, and characterisation workflows. Work closely with product, application, hardware, and engineering teams to define software requirements and translate hardware capabilities into practical software solutions. Contribute to the usability, maintainability, documentation, and overall quality of software delivered around MintNeuro hardware platforms. Support the development of reusable software components and workflows that can be adapted across multiple MintNeuro products. Assist with system-level troubleshooting, issue investigation, and continuous improvement based on internal testing, software logs, and customer feedback. Contribute to the longer-term development of software platform capabilities that improve internal efficiency and customer experience. Qualifications Bachelor's degree in Software Engineering, Computer Science, Electronic Engineering, Biomedical Engineering, or a related discipline. Experience in developing software for hardware-based products, laboratory instruments, embedded systems, or evaluation platforms. Experience in one or more programming languages relevant to the role, such as Python, C++, or C#. Experience working with embedded platforms or prototyping hardware, such as STM32, Raspberry Pi, or similar systems. Experience in developing user-facing software tools, internal engineering tools, or SDKs/APIs. Experience interfacing software with hardware through standard communication protocols such as SPI, I C, UART, USB, or Ethernet. Experience in debugging, testing, and maintaining software within a collaborative and well-documented engineering workflow. Experience in workflow automation, scripting, or engineering process automation. Ability to work closely with cross-functional teams, including product, hardware, applications, and test engineers. Good documentation skills and the ability to produce clear, maintainable, and user-friendly software. Awareness of usability and user experience considerations in technical software tools. Experience in developing software for semiconductor, neurotechnology, medical device, or scientific instrumentation products. Experience in GUI or application development for evaluation kits, engineering tools, or customer-facing software. Experience in designing SDKs, APIs, reusable software frameworks, or device communication protocols, including custom or proprietary protocols. Familiarity with cloud-connected software, telemetry, data visualisation, or data-driven product improvement workflows. Understanding of regulated or quality-controlled development environments. What We Offer Work Environment: Dynamic, innovative, and inclusive workplace culture. Location Perks: Offices and labs located in the heart of London. Flexible Working: Hybrid model, allowing up to 50% remote work. Compensation: Competitive salary with a comprehensive benefits package Career Development: Work closely with experienced leadership in a startup, offering clear growth paths as we expand. Purpose: Be part of a mission-driven team dedicated to making a positive impact on millions of lives worldwide. Private Healthcare, Dental and Optical Visa Sponsorship (if applicable) 33 days annual leave (including bank holidays). Socials, team building and Company days We recognise that expertise comes in many forms and that passion drives progress. Even if your experience doesn't perfectly align with every qualification in this job description, we encourage you to apply. We value a diverse range of perspectives and foster an inclusive environment, which opens doors for individuals committed to making an impact in our industry.

Secondmind is an Equal Opportunity Employer committed to fair, equitable treatment throughout the recruitment process and beyond. We actively champion applications from all backgrounds because we believe the best work happens when people can bring their authentic, original, and best selves to the team. If you require accommodation or assistance throughout the interview process due to a disability, please contact we are happy to help. About Secondmind Secondmind builds data efficient Engineering AI software that helps teams make better design and performance optimisation decisions faster. Our product reduces simulation and testing requirements without compromising quality, accelerating development and enabling more sustainable engineering teams. Our positive working culture is founded on a collaborative environment that encourages teamwork and innovation. We foster open communication and cross functional collaboration, enabling diverse teams to work together to solve complex challenges. Our flexible workplace plan ensures a healthy work life balance, accommodating various working styles and personal needs, whether through remote work options or adaptable schedules. We also prioritise personal and professional growth by offering development opportunities, including training and mentorship. This nurturing environment empowers our employees to thrive, continuously learn, and contribute meaningfully to advancing system design and calibration with our data efficient machine learning solutions. Founded in 2016 and supported by investors such as Mazda Motor Corporation, Amadeus Capital, Atlantic Bridge and Cambridge Innovation Capital, Secondmind was recently listed in the Barclays Eagle Labs One to Watch AI:100. As well as being recognised with the Automotive Testing Technology International 'Alternative Powertrain Test Innovation of the Year Award 2024'; selected for the Tech Nation Future Fifty scale up programme, and named by Bloomberg as one of the UK's 25 Startups to Watch 2024. About the role We are seeking a Senior Technical Solutions Manager to support and expand our automotive, off highway, and engine customer base across the European market, including the UK. This customer facing technical role is responsible for helping customers evaluate, adopt, and realise value from Secondmind's AI driven Design Space Exploration and Calibration solutions. Working closely with Account Executives, ML Engineers, and Product teams, you will deliver compelling demonstrations of the Secondmind SaaS AI platform, lead technical evaluations, provide customer training and frontline technical support, and lead proof of concept (PoC) projects for both existing and prospective customers. Leveraging your experience in automotive, commercial vehicle, off highway, or powertrain engineering, you will help customers understand how Secondmind's AI technology accelerates engineering workflows, improves calibration, and enables more efficient design space exploration. This is an exciting opportunity to join a fast growing company operating in a dynamic startup environment, where your technical expertise, customer engagement, and problem solving skills will play a key role in driving customer adoption, technical success and long term business growth. What will you be responsible for? Take ownership of and lead pre sales and frontline customer support engagements, including discovery workshops, solution mapping, and tailored product demonstrations. Engage with customers to identify opportunities to apply Secondmind's AI platform across the automotive engineering V cycle, including automotive, commercial vehicle, off highway, and powertrain development. Lead technical evaluations, proof of concept (PoC) and pilot projects by defining success criteria. Partner with sales leadership to develop and deliver compelling technical presentations, proposals, demonstrations, and supporting collateral. Serve as a trusted technical advisor to customers throughout onboarding, deployment, and adoption, ensuring long term customer success. Collaborate with Product Management and ML Engineering teams to provide customer feedback and influence product features, capabilities and roadmap priorities. Represent Secondmind at customer meetings, industry conferences, technical workshops, and other events across Europe. What skills, experience, and qualifications do you need to succeed in this role? Essential Proven experience in a technical role for automotive, powertrain or off highway applications. Experience or understanding of engine calibration and toolchains used as part of calibration. Familiarity with AI/ML methods and their application to engineering, calibration optimisation, or design exploration. Experience in engineering for vehicle, and engine development, and understanding of calibration and use of CAE tools in this space. Proven ability to communicate complex technical concepts clearly to both technical and executive audiences. Bachelor's degree in engineering or related technical discipline (Master's preferred). What would make you thrive as a Senior Technical Solutions Manager? You'll thrive in this role if you're someone who combines deep technical credibility with genuine enjoyment of customer facing work - comfortable leading workshops, running demos, and translating complex AI and calibration concepts for both engineers and executives. You're naturally curious about customer problems, energized by proving value through hands on PoCs and pilots rather than just pitching, and equally at ease collaborating internally with ML and Product teams as you are representing the company externally at conferences and customer sites. You bring a consultative, trusted advisor mindset, thrive amid the ambiguity and pace of a growing startup, and take genuine satisfaction in seeing a customer succeed as a result of your technical guidance. Our culture - What we can offer you We offer a working environment that is inclusive, stimulates innovation and continuous learning, and that thrives on growth and change. Values Delight every customer (Customers) No bar too high (Excellence) Give more than take (Sustainability) Make the impossible, possible (Innovation) Celebrate differences, act as one (Inclusion) Benefits Competitive salary - reviewed annually 25 days annual leave, plus statutory bank holidays TGIF - the last Friday of every month is a half day for our employees Enhanced family leave policies Salary Sacrifice Pension Scheme Life Assurance of 4x salary Private Medical Insurance Eyecare Policy Dental Cash Plan Stock Options (where applicable) Free 24 hour access on site gym Discount Shopping & Wellbeing Platform Employee Assistance Programme Values Award Scheme Cambridge Botanic Garden membership Social events, game nights and sports groups

ElevenLabs is hiring a remote Front-End Development and Conversion Rate Optimization (CRO) Manager in the UK. You will own the experimentation program to turn paid traffic into signups, activations, and revenue, collaborating closely with design, engineering, copy, and marketing to drive durable funnel improvements. The role requires proven CRO leadership, hands-on testing, and strong analytics. This is a remote-first position with global collaboration across product and growth teams.

Nomios' mission is to build a 'secure and connected' future. Organisations across Europe depend on us to help secure and connect their digital infrastructures. In support of our continued UK growth, we are seeking a Senior SOC Engineer to join our Security Operations team. This role presents a great opportunity to shape the direction of a modern, technology focused SOC that values engineering excellence, deep technical capability and a culture of innovation. You will work with a broad and diverse customer base that relies on Nomios to deliver meaningful and effective security outcomes. Your role as Senior SOC Engineer As a Senior SOC Engineer at Nomios, you'll lead the design, deployment, and ongoing improvement of the technologies that underpin our SOC, including SIEM, XDR, SOAR, scripting, and automation. From building custom log parsers and response workflows to developing platform architecture, you'll drive meaningful enhancements to our detection and response capabilities. You'll play a central role in security orchestration and automation, helping reduce time to detect and respond by refining playbooks and building intelligent workflows. You'll also lead customer onboarding in collaboration with SOC Operations, ensuring secure, efficient deployments aligned with our model. Working directly with SIEM/XDR platforms and custom tooling, you'll have access to dedicated SOC infrastructure: lab environments for malware analysis, detection testing, threat intel development, and proof of concepts. You'll be part of a high-performing team that values hands-on expertise, technical leadership, and continuous growth. Our SOC culture is built by engineers who've progressed through roles in security operations, threat intelligence, and engineering. You'll benefit from cyber ranges, training labs, and the freedom to shape your development path. As part of a leading MSSP, you'll gain exposure to a wide range of industries, from government and defence to healthcare, telecoms, legal, and manufacturing, broadening your knowledge of real-world security practices. Whether you're a seasoned Senior Engineer or ready to step up, this role offers ownership, impact, and the chance to help shape the mission. Key Responsibilities Build Mentor and guide SOC engineers and analysts, supporting their technical development and helping them grow within a high-performance team. Design, develop and maintain automation across key SOC workflows, improving efficiency, response speed and consistency. Create and manage log parsing and data normalisation across a variety of internal and external sources, ensuring high quality telemetry across the estate. Architect and implement SIEM and XDR environments tailored to both internal use and customer-facing deployments. Deploy, manage and continually enhance core SOC technologies, including SIEM, XDR, SOAR, vulnerability management and custom automation scripts, all supported by our dedicated in-house infrastructure and lab environments. Investigate Act as a senior escalation point during complex engineering incidents across both internal systems and managed customer environments. Work with the wider engineering team to document, maintain and improve internal wikis and deployment guides, ensuring consistent and high quality engineering delivery across the team. Improve Reporting to the Lead SOC Engineer, collaborate with the Head of Security Operations, on the ongoing development and execution of the SOC's engineering maturity roadmap. Continuously assess and deliver automation and process improvements, both internally and across customer environments, to enhance detection, response and operational efficiency. Apply lessons learned from incidents, threat intelligence and emerging attack techniques to refine and improve engineering output, ensuring the SOC remains agile, proactive and threat-driven. We hire result-orientated, smart, and high-energy individuals who bring a can-do attitude and a willingness to go the extra mile and deliver exceptional outcomes. You should be organised and rigorous, with excellent analytical skills. Good communication with customers and internal stakeholders is vital, as is the ability to work as part of a dynamic team. Required technical skills include: Expert Knowledge of SOAR - including developing custom automation and integrations. Preferred vendors: Palo Alto Cortex XSOAR, Logic Apps, Siemplify, Jupyter Notebooks Good Knowledge of Cloud Environments & Architecture - including developing custom automation and integrations via API with proficiency in at least one scripting language (preferably Python or GO). Preferred vendors: Azure, AWS, GCP Expert Knowledge of SIEM Architecture and Design - Including familiarity in SIEM deployment and architecture of at least one cloud environment (GCP, AWS, Azure, IBM). Preferred vendors: Microsoft Sentinel, Google SecOps, XSIAM Expert Knowledge of EDR/XDR - including configuration and deployment/maintenance. Preferred vendors: CrowdStrike, Microsoft Defender, Palo Alto XDR, SentinelOne Intermediate Knowledge of VM - including deployment, automation of reporting. Preferred vendors: Rapid 7, Tennable Intermediate Knowledge of CTI - including ingestion methodologies, and common ingestion and parsing methods (STIX/TAXII). Preferred vendors: Mandiant Additional requirements include: 3-5 years' experience working within a Security Operations Centre (SOC) as a security engineer. Proven experience in SOC automation, log source parsing and configuration of security toolsets. Fluent in English with excellent written and oral communication skills. Eligible for SC or DV clearance is required. Ability to use initiative and work independently. Strong team player. Job Specifics Location: This is a hybrid role, requiring attendance at our Basingstoke office (free hot & cold drinks, breakfast items, snacks, lunches, and regular takeaway Fridays are provided to all staff in the office!). Hours: Full-time, Monday-Friday, 9:00am-5:30pm Why would you choose to come and work with us? We invest in our people. You will get to work in a dynamic, fast-paced environment where you are free to use your initiative in support of our strategic objectives. You will work alongside high calibre sales, technical, and operational experts as part of a supportive, tight-knit team, within which every individual has an important part to play and makes a real difference. Nomios offers a highly competitive salary and commission scheme along with industry-leading benefits. Ready to make an impact? Apply now! Nomios is an equal opportunity employer and is committed to creating and sustaining an environment in which everyone is provided with an equal opportunity to grow and develop, and no individual will be unjustly discriminated against. This includes, but is not limited to, discrimination because of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion and belief, sex and sexual orientation.

About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human like AI voice model. Today, we serve millions of users and thousands of businesses - from fast growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. Impact not job titles: We don't have job titles. Instead, it's about the impact you have. No task is above or beneath you. AI first: We use AI to move faster with higher quality results. We do this across the whole company-from engineering to growth to operations. Excellence everywhere: Everything we do should match the quality of our AI models. Global team: We prioritize your talent, not your location. What we offer Innovative culture: You'll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what's possible. Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. Co working: If you're not located near one of our main hubs, we offer a monthly co working stipend. About the role We're looking for an experienced Data Engineer to join our Growth team. You will build and scale our data pipelines, establish best practices, ensure data quality, and enable self service data access across teams. Own and streamline data pipelines from ingestion to delivery, ensuring they are reliable, scalable, and efficient. Implement and maintain dbt best practices, data standards, and quality controls. Build self service tooling and write clear documentation to empower cross functional teams (Engineering, Revenue Operations, Growth, and others) to independently meet their data needs. Create AI agents to serve data questions for others. Requirements Demonstrated experience formalising and scaling data pipelines, ideally as one of the first or early data engineers on a growing team. Expert knowledge of dbt (required). Proficiency with tools across the modern data stack (Python, SQL, BI tools). Structured thinking; ability to simplify complex, messy data into clear structures. Strong ability to understand varied stakeholder requirements and build generalised solutions. Location This role is remote and can be executed globally. If you prefer, you can work from our offices in London, Warsaw, Dublin, New York, San Francisco, and Tokyo.