46 jobs found

Trusted Connectivity for AI-Powered Dominance. Everfox delivers trusted connectivity to protect the world's most critical environments and safeguard the sensitive data powering decision advantage. Built for mission-critical operations, Everfox protects what matters most by securing how data moves, how users access it, and how threats are neutralized across every domain. We enable mission speed and secure collaboration across networks, domains, and allies, while ensuring the data powering AI and advanced analytics remains trusted and protected. We don't just defend systems; we deliver decision dominance. Our Purpose. Protect what matters most by enabling organizations to operate security in the most complex and high-risk digital environments. Our Vision. To be the most trusted authority in high-assurance cybersecurity, enabling secure collaboration across every domain. Our Belief. Security should never limit mission success - it should enable it. Our Promise. We deliver absolute confidence in environments where failure is not an option. About the role: Everfox is hiring Senior Software Engineer to support our team in London, UK. This role suits a strong senior software engineer who wants to go beyond writing code. You do not need a formal delivery-management background, just solid engineering and an appetite to take on more: design, architecture, coordination, planning and end-to-end delivery. Generalists are welcome. What counts is the quality of your reasoning and problem-solving and how you take on a hard challenge, not the exact languages on your CV. You will split your time between hands-on work on our cross-platform desktop and mobile apps and managing delivery across the end-point software layer of the Everfox Hardsec product line. You will shape and deliver the end-point software that gives users access to our secure browsing and VDI solution, owning its design, development and overall user experience. The work spans Linux and Windows desktop applications and mobile apps on Android and iOS, with a focus on quality, usability and enterprise integration. You will also work closely with our testing lead on release management so that each multi-platform release ships reliably and on time. You will help shape the roadmap, coordinate delivery across our Hardsec solutions, and work with the stakeholders who depend on this software. The work sits on the critical path and is highly visible, directly supporting the commercial priorities of the business, so what you ship lands quickly with the people who use it. If you enjoy owning hard technical problems end to end while keeping a team aligned and delivering, this role is for you. Location This is a hybrid role in London, UK. Key Responsibilities: Engineering • Design, implement and maintain features and components for cross-platform desktop and mobile applications, with a focus on reliable, high-quality and highly usable software. • Write code primarily in modern C++, and work across other languages as the work requires. • Lead the scoping, design and estimating of new software and complex integration tasks, building prototypes to de-risk the harder ones. • Use AI tooling to improve development speed and quality. Delivery and management • Shape and deliver the roadmap for the end-point software, translating company and product priorities into a plan you own and drive. • Plan and coordinate work across a small team of engineers, removing blockers and keeping momentum. • Help coordinate delivery across our Hardsec solutions, keeping cross-team dependencies visible and managed. • Work with Product Managers, QA, Customer Success, Account Management and other Everfox development teams: translating requirements into well-scoped technical work, coordinating delivery, and handling integrations across teams. Test, release and improvement • Own release management for the software, working closely with our testing lead across both manual testing and automated test development. • Lead the end-to-end integration and test of the software as a component, including its integrations with hardware, with end-user workflow applications on the remote side, and with enterprise infrastructure such as identity providers. • Drive improvements in code maintainability, automation and supportability, championing code review, automated testing, stable APIs and the use of AI tooling and agentic workflows. Technical leadership • Provide technical leadership on projects, steering design choices, solving technical issues and guiding others on code quality and testing. • Mentor the engineers in your team, set clear objectives, and support their development towards their longer-term goals. Key Knowledge and Skills: • A degree in Computer Science, Engineering, or a related technical or scientific subject. • Experience developing complex software in modern C++ for systems software and desktop or mobile applications. • Design and architecture experience, and the ability to solve systems-level problems with multiple complex interactions between components, including planning for failure. • A strong grasp of core computer science concepts: concurrency, IPC, networking, security including software exploitation, performance and algorithms. • A genuine appetite to take on delivery responsibility, even without a formal delivery management background. Nice to have • A proven ability to manage delivery: planning, prioritisation, and keeping stakeholders informed. • A track record of coordinating work across more than one team and keeping cross-team dependencies under control. • Java or Kotlin, including Android app and NDK/JNI development, and iOS development in Swift or Objective-C. • An understanding of usability, user experience and application design. • Experience with the Qt framework. • CI/CD experience with tooling such as GitLab, Docker and Kubernetes, and Python for automation and testing. • Familiarity with modern AI development tooling and agentic workflows. • Line-management experience. The role may include line-managing one or more developers depending on team shape, but the core of the job is engineering and delivery. • A passion for technology, shown through project work, professional roles or personal projects, and someone who enjoys technical challenges and delivering results. • Self-motivated, flexible and adaptable, and able to cope when thrown in at the deep end. • Understands the importance of planning, prioritization and getting work done on schedule. • Strong interpersonal and communication skills, and the ability to collaborate with and lead others. • Empathy, and a habit of open communication and effective feedback. • Can own products and features independently, from inception to delivery, while bringing others along rather than delivering solo. A reasonable estimate of the base salary range for this role is: £76 500.00 GBP The actual salary offered may vary within the range based on a candidates' unique experience, locale, and business needs. In addition to base salary and either bonus or commission, Everfox offers a generous benefits package including competitive annual leave, pension match, PMI, dental, health cash plan, income protection, in a hybrid work environment. Our Talent Acquisition team will provide specific information regarding salary and benefits offerings. Everfox is an equal employment opportunity employer and complies with all applicable federal, state, and local laws prohibiting discrimination. Everfox does not discriminate against any employee or applicant based on race, color, religion, sex, age, national origin, disability, veteran status, marital status, medical condition, or any other category protected by applicable law. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company's career webpage as a result of your disability. You may request reasonable accommodations by sending an email to . Applicants must have the right to work in the location to which you have applied.

Senior Embedded Architect ManagerApplylocations: UK, Remote: UK, Cambridge: UK, Bristol: UK, Belfast: UK, Readingtime type: Full timeposted on: Posted 10 Days Agojob requisition id: JRNVIDIA is seeking a technical leader interested in defining, crafting, implementing, and guiding the implementation of security research, architecture, implementation, and design for next-generation NVIDIA Networking products. You'll be expected to take a strong hands-on role, working with diverse teams across NVIDIA and with external partners to meet security requirements for our state-of-the-art network products.NVIDIA's invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as "the AI computing company". We are looking to grow our teams with the smartest people in the world. If you're creative and autonomous, we want to hear from you! What you'll be doing: Research, design, develop and implement architecture solutions (Hardware and software) meeting internal and external security requirements and standards. Apply innovative hardware security primitives to enable next generation secure software extensions supported by hardware. Collaborate with partners on the implementation of open-source software. Collaborate across the company to guide the direction of Its (USB, I2C, I3C, UART, PCI) working with hardware, software, research and product teams. Architectural modeling, validation, microarchitectural definition, following standards bodies, and developing infrastructure enabling trusted platforms using hardware security methods. Work with customers, partners to identify and address security issues and threats. What we need to see: BSc, MS or PhD in Electrical Engineering, Computer Science or Computer Engineering, or equivalent experience. 12+ years of relevant experience. First-hand work experience with IO interface including: I2C, I3C, SPI, UART, USB, PCIe Have directly worked on several of the following: Computing platform boot architecture in embedded devices and servers RISC-V architecture, Root-of-trust, and security processors. Familiarity with embedded systems and programming low-level firmware. Familiar with Security-by-design hardware and principles of privileges. Programming and debugging fundamentals across languages such as: Verilog, Python/Perl scripting, ARM assembly and C/C++. The ability to work in a dynamic collaboration oriented team is required and strong communication skills and a real passion for working as a team are essential.We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won't solve the world's hardest problems - robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Open to hiring remote across EMEA - preferable to have someone near our office in London. We're looking for someone to join our IT team and take ownership of day-to-day technical support for a globally distributed company. You'd report to the Head of IT/Security and be the first point of contact for employees with requests, device issues, and account problems. You'll own the fundamentals from day one: handling tickets, provisioning laptops, running on boarding, and keeping our SaaS stack in order. But this is a small team at a fast-growing AI company, so the scope grows quickly. You'll get pulled into real projects sooner than you'd expect, across security, infrastructure, and automation. How far you take it depends on what you're good at and what interests you. This role is also the start of our IT presence internationally. Most of the company sits in North America today, and you'd be our first IT hire outside it, extending support coverage to new time zones and helping lay the groundwork as we grow globally. What you'll do Handle help-desk tickets: Triage and resolve employee requests - password resets, access provisioning, Slack/Google Workspace/Zoom troubleshooting, and general "my thing is broken" support Manage the device lifecycle: Procure, provision, configure, and ship laptops for new hires. Handle off-boarding wipes and returns. Keep the asset inventory accurate. Run on boarding and off boarding: Create accounts, apply security profiles, draft welcome communications, and make sure new employees have everything before day one Administer Google Workspace: Manage users, groups, aliases, and license assignments. You'll use both the admin console and CLI tools regularly. Support endpoint compliance: Work with our device trust tooling to keep employee machines meeting security policies, and follow up when they don't Deploy and enforce security policies: Help roll out and maintain endpoint security configurations, access controls, and compliance requirements across the fleet Manage corporate software: Handle seat assignments, renewals, license optimization, and access reviews across our SaaS stack Support office networking and AV: Help maintain networking equipment, conference room setups, and office technology across our physical locations as needed Train and enable employees: Deliver lightweight technical guidance and training on IT systems, both for new hires and for ongoing support (written guides, short walkthroughs, the occasional screen share) Write things down: Maintain run-books, knowledge base articles, and process docs. If you fix something, document how. Where this role can grow We don't expect you to stay in a pure helpdesk lane. Our SOC2 program has ongoing evidence collection and device trust work to pick up, and there's security policy work that needs someone to own the rollout and enforcement side. On the infrastructure side, we manage cloud resources through infrastructure-as-code, and there's no shortage of manual process waiting to be turned into a workflow. Over time, you'd lead IT projects around endpoint management, security improvements, and internal tooling rather than just executing on them. What you'll need Some form of IT support experience. A help-desk role, an internal support function, or just being the person everyone came to when something broke. The title matters less than the reps. Comfort with macOS. Our user endpoint fleet is mostly Mac. You should be able to troubleshoot system issues, manage profiles, and work in the terminal without hand-holding. Familiarity with Google Workspace administration, or the confidence to pick it up fast. CLI admin tooling experience is a plus. A working understanding of networking fundamentals: DNS, DHCP, LAN/WAN basics, and how traffic moves. You don't need to be a network engineer, but you shouldn't be lost when a connectivity issue comes in. Basic understanding of cybersecurity principles. You should know what endpoint security, encryption, and access controls are, and why they matter, even if you haven't built policies from scratch. Strong written communication. This is a remote role and coordination happens in Slack and Notion. If you can't write clearly, the timezone gap makes everything harder. Self-direction. There's separation between you and the rest of the IT team for part of the day. You need to be someone who sees what needs doing and does it. Curiosity about how systems work. Maybe you've run a homelab, automated something tedious with a script, or set up a Pi. We care more about the impulse than the resume line. Nice to have Experience with MDM platforms (any of the major ones) Any exposure to cloud infrastructure (AWS, GCP, etc) and infrastructure-as-code concepts Scripting in Python, Bash, or JavaScript Familiarity with zero trust networking concepts and tools Background in compliance frameworks (SOC2, ISO 27001) Exposure to international IT regulations or data privacy requirements (GDPR, etc.) Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. Working at Runway Great things come from great teams. We'd love to hear from you. We're committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway Universal World Simulator GWM-1 Gen-4.5 General World Models Robotics SDK Conversational Real-time Agents Runway Studios We're excited to be recognized as a best place to work: Crain's InHerSight BuiltIn NYC INC

Senior / Staff Machine Learning Scientist About Chemify: Chemify is revolutionising chemistry. We are creating a future where the synthesis of previously unimaginable molecules, drugs, and materials is instantly accessible. By combining AI, robotics, and the world's largest continually expanding database of chemical programs, we are accelerating chemical discovery to improve quality of life and extend the reach of humanity. Our Chemifarm facility in Glasgow operates a growing fleet of advanced robotic systems that automate synthesis, optimisation, and library generation. This gives our computational scientists something rare: a direct, high-throughput bridge from in silico design to physically synthesised molecules, closing the design-make-test loop at a pace conventional drug discovery organisations cannot match. Location: Glasgow (onsite, full-time) or fully remote with regular travel to our Glasgow HQ / Chemifarm The Role We are seeking a Senior / Staff Machine Learning Scientist to work across the breadth of Chemify's platform - generative models for chemistry, search and planning for retrosynthesis, computer vision for telemetry from our robotic systems, and agentic workflows that tie it all together. You will partner with computational chemists, CADD scientists, software engineers, and hardware engineers, and apply AI/ML to build the next generation of Chemify's platform. What sets this role apart is the combination of breadth of ML problems - generative chemistry, vision, search, agents - paired with a robotic platform that turns your models into physical experiments. If working across a wide range of hard ML problems on a real-world platform sounds like the right shape of job for you, we'd love to welcome you to our team. Key Responsibilities Build generative and foundation chemistry models for molecular design. Advance retrosynthesis and synthesis aware ML by leveraging Chemify's reaction database and robot execution data. Apply computer vision to transform robot telemetry into models that monitor process state and feedback into experimental control. Prototype agentic workflows that orchestrate models, tools, and the platform - closing loops between proposal, execution, observation, and learning. Productionise models into a reproducible, API first toolkit; partner with Infrastructure on GPU training and HPC; maintain high standards of ML best practices, including rigorous evaluation, benchmarks, and reproducibility. Mentor junior ML scientists, partner with the Head of Advanced Machine Learning on hiring and growth, and represent Chemify's AI/ML capability externally. (Staff level) Set technical direction across the AI/ML stack; lead cross cutting initiatives spanning chemistry models, retrosynthesis, vision, and agents. About You You are an experienced ML scientist who is equally comfortable training models and shipping the code that other people end up building on. You care about whether your model changes a real decision - not just whether it beats a benchmark. You're at home moving across problem types, from generative models to vision to search. We expect you to bring: PhD or equivalent experience in Machine Learning, Computer Science, Statistics, Physics, or a related quantitative field - 5+ years (Senior) or 8+ years (Staff) of hands on applied ML experience, including production grade work. Deep familiarity with modern deep learning stack (PyTorch or JAX), and breadth across at least two of: generative models (diffusion, autoregressive, flow based), graph and equivariant networks, vision (CNNs, ViTs, multimodal LLMs), search and planning (MCTS, A ), or agentic / RL systems. Experience taking ML from prototype to production: reproducible pipelines, distributed jobs, and batch workflows on cloud (AWS / GCP / Azure) or HPC. Strong scientific computing instincts: clean Python, careful experiment design, leakage aware splits, and rigorous benchmarks. Clear communication with non ML scientists and engineers and a willingness to pick up new domains (you don't need to know chemistry on day one). (Staff level) A track record of technical leadership: mentoring, setting standards, and influencing scientific and technical direction beyond your own projects. Beneficial Skills Practical experience with active learning, Bayesian optimisation, conformal prediction, or uncertainty quantification in iterative real world loops. Familiarity with retrosynthesis ML, computer aided synthesis planning (CASP), or reaction condition / yield prediction. Working knowledge of how ML fits into a drug discovery or materials design workflow, plus familiarity with cheminformatics tooling (e.g. RDKit, OpenEye) - or willingness to pick these up. MLOps fluency: experiment tracking, data versioning, model serving, and observability of deployed models. A visible track record in the field - peer reviewed publications, open source contributions, or public projects that demonstrate your judgement on real ML problems. Why Join Chemify? Impact: Your models will directly shape what Chemify's robotic platform proposes, plans, and observes - at a company uniquely positioned to close the loop between design and physical experiment. Autonomy: Reporting to the Head of Advanced Machine Learning, you will work across the AI/ML problems with the most impact, and have meaningful influence over the direction of our AI/ML capability. Ambition: We are a Series B deep tech company investing in world class infrastructure and tackling problems at the frontier of AI, robotics, and chemistry. You will have the resources and the mandate to do AI/ML in a way that isn't possible elsewhere - across chemistry, vision, search, and autonomous systems on the same platform. Advanced Research Centre, University of Glasgow, 11 Chapel Lane, G11 6EW Department Design Retro & Advanced ML Job Title Senior / Staff Machine Learning Scientist

Senior Web Security Engineer (ProdSec) at iProov Senior Web Security Engineer About iProov iProov provides science-based biometric solutions that enable the world's most security-conscious organizations to streamline secure remote onboarding and authentication for digital and physical access. Our award-winning liveness technology and iSOC offer unmatched resilience against deepfakes and generative AI threats while ensuring effortless, scalable user experiences. Trusted by leading governments and enterprises, including the U.S. Department of Homeland Security, U.K. Home Office, GovTech Singapore, ING, and UBS, iProov sets the standard in biometric identity assurance. This global trust is built not only on our technology but on the strength of the people behind it. For us, diversity at iProov is about reflecting the customers we serve, holding the principles of equality and inclusion at the heart of everything we do and all that we stand for, embracing differences, creating possibilities, and growing together. We aim to foster a culture where individuals of all backgrounds feel confident in bringing their whole selves to work, feel included, and their talents are nurtured, empowering them to contribute fully to our purpose. The Role Reports to: Head of Red Team Location: UK (Flexible) Comp: Negotiable (Base) + Company Performance Bonus (10%) + Share Options + UK iProov Benefits We're looking for an experienced Senior Web Security Engineer to design, build, and secure high-performance web applications that run in some of the world's most demanding environments. How you can make an impact Develop techniques to protect client-side code from tampering, reverse engineering, debugging, automation, and exploitation. Design and implement anti-tamper, integrity verification, and runtime protection mechanisms. Build high-performance WebAssembly modules using C++, Rust, or AssemblyScript. Research emerging attack techniques targeting web applications and develop practical mitigations. Collaborate closely with developers, product, and red teams to integrate security into the development lifecycle. Investigate vulnerabilities, perform root-cause analysis, and develop long-term remediation strategies. Contribute to technical architecture and mentor other engineers on secure development practices. What we would like to see from you Technical Expertise Strong experience developing production WebAssembly applications. Experience with Rust, C++, or another systems programming language used to produce WASM modules. Experience securing client-side applications against: Reverse engineering Runtime modification Instrumentation frameworks Code injection Experience with secure software architecture. Security Knowledge Experience in several of the following: WASM binary analysis Static and dynamic analysis Anti-debugging techniques Runtime integrity verification Secure code signing and integrity checking Software protection techniques Secure SDLC practices 5+ years of software engineering experience. Strong testing, debugging, and profiling skills. Experience working with CI/CD pipelines and automated security testing. Excellent communication skills with the ability to explain complex technical concepts clearly. Nice to Have Knowledge of WebGPU, WebRTC, or WebCodecs. Experience with binary instrumentation and compiler toolchains. Experience building SDKs or developer platforms. Experience with biometrics, identity verification, or fraud prevention technologies. Contributions to open-source security tools or security research publications. 25 days Annual Leave, plus 8 Bank Holidays (more holiday with service - up to an extra 5 days off per year based on your continuous service) Growth Shares allocated after passing probation (6 months of service) Salary sacrifice schemes including: Pension, Cycle To Work and Electric Car Scheme Nursery Sacrifice Scheme Work Overseas Perk - Work globally for up to 2 weeks Life Assurance SmartHealth - Access to private GP, Psychologist, Nutritionist along with tailored fitness plans for both you and your family Benefit from personalized 1:1 career coaching with our in-house Occupational Psychologist Award winning L&D platform with personal allocated training budgets Enhanced paid family leave Flexible hybrid working environment Free Barista Coffee/Tea, biscuits with fruit in the WeWork office Free access to WeWork discounts and free online well-being sessions Vitality Health - a range of options available on this below The Vitality Programme includes a number of reward benefits that all employees have access to as part of the plan, for example: Private Health cover including Dental, Optical, and Audiology 50% off monthly gym memberships Apple watches significantly discounted based member vitality status Half price trainers with Runners Need Weekly rewards - Free coffee with Café Nero Monthly rewards - Free Cinema ticket Discounts on travel with Expedia (hotels) and Mr & Mrs Smith with discounts getting greater throughout the year based on a members vitality status Amazon prime free months based on activity Up to 25% cashback at Waitrose when buying healthy foods 75% off stays at Champneys Health Spas Allen Carr's £299 no smoking programme for freeAccess to Vitality Healthy Mind with 30% off Headspace subscriptions and the ability to earn Vitality points for using Buddhify, Calm and Headspace Discounts on Weight Watchers Our Culture & Recruitment Process At iProov, we're incredibly proud of the culture we've carefully curated. Our culture enables diverse thought, curiosity and innovation. Our team strives to do everything to the highest standard possible to achieve the remarkable. To do that we need different perspectives, experiences and ideas alongside an environment where these are welcomed - we want everyone to feel confident in bringing their full capabilities to work. We firmly believe psychological safety is key to building and nurturing great teams. We're a small and dynamic company, that means having the right skills is important, and we know that our best work emerges when people feel secure, welcomed and respected. As an equal opportunities employer, we encourage applications from people of all backgrounds. We're committed to building a workforce that is representative of the people we serve. We will not put someone at a disadvantage or treat them less favourably because of race, color, national origin, ancestry, age, disability, creed, religion or belief, sex, sexual orientation, gender reassignment, marriage or civil partnership, or pregnancy and maternity. Our goal is to find people who are passionate about creating a safer, more secure world. Our recruitment process is designed to be fair and transparent, focusing solely on your qualifications, competence, and suitability for the role. We review all applications carefully and will be in touch with shortlisted candidates regarding the next steps in our interview process. If you need an adjustment for a disability or any other reason during the hiring process, please send a request to

We work with some of the UK's biggest companies and government departments to provide a pragmatic approach to technology, delivering bespoke software solutions and expert advice. Our clients are increasingly looking to us to help them make the best use of their data. In building data platforms and pipelines, our data engineers create the foundation for diverse data & analytics solutions, including data science and AI. They build data lakes and warehouses, create the processes to extract or access operational data, and transform siloed datasets into integrated data models that allow insight into business performance and problems or training of ML models. These are hands-on, client-facing roles, with openings at senior or lead level to suit your experience. You may be leading teams, setting technical direction, advising clients or solving tough engineering challenges. You'd also be expected to spend some time on-site with clients in the London area on an ad-hoc basis. Our data engineers combine a strong software engineering approach with solid data fundamentals and experience with modern tools. We're technology agnostic, and we're open minded when it comes to your existing skillset. What are we looking for? Good experience with some of the technologies and approaches typical in modern data engineering and reporting. Including storage, data pipelines to ingest and transform data, and querying & reporting of analytical data. You've worked with technologies such as Python, Spark, SQL, Pyspark, PowerBI etc. You've got a background in software engineering, including Front End technologies like JavaScript. You're a problem-solver, pragmatically exploring options and finding effective solutions. An understanding of how to design and build well-structured, maintainable systems. Strong communication skills and a collaborative approach to work. You embrace the chance to try new things, learn new skills and grow your experience. It would be great if you have: Experience of relevant cloud services within AWS, Azure or GCP. Experience working in an Agile environment. Experience working with common vendor products such as Snowflake or Data Bricks. Experience working with CI/CD tooling. What you'll get in return is: 25 days' annual leave, rising to 30 days with each year of service. Generous family leave policies. Access to an employer pension scheme, private medical services and Group Life Assurance. A range of optional benefits such as discounted gym membership and a cycle-to-work scheme. A meaningful approach to evaluating your performance and providing feedback on your progress. At Scott Logic, we value the flexibility of remote working alongside the value gained from spending time with our colleagues and clients. In our offices you'll find employee-led clubs and events, as well as free games, books, and refreshments. We have shared values that govern our behaviour toward others and the environment. We are proud to be a B Corp, a global movement of businesses driving for a more inclusive, equitable, and regenerative economy. We believe diversity drives innovation, and embrace a culture where everyone can contribute, irrespective of race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability.

We work with some of the UK's biggest companies and government departments to provide a pragmatic approach to technology, delivering bespoke software solutions and expert advice. Our clients are increasingly looking to us to help them make the best use of their data. In building data platforms and pipelines, our data engineers create the foundation for diverse data & analytics solutions, including data science and AI. They build data lakes and warehouses, create the processes to extract or access operational data, and transform siloed datasets into integrated data models that allow insight into business performance and problems or training of ML models. These are hands-on, client-facing roles, with openings at senior or lead level to suit your experience. You may be leading teams, setting technical direction, advising clients or solving tough engineering challenges. You'd also be expected to spend some time on-site with clients in the London area on an ad-hoc basis. Our data engineers combine a strong software engineering approach with solid data fundamentals and experience with modern tools. We're technology agnostic, and we're open minded when it comes to your existing skillset. What are we looking for? Good experience with some of the technologies and approaches typical in modern data engineering and reporting. Including storage, data pipelines to ingest and transform data, and querying & reporting of analytical data. You've worked with technologies such as Python, Spark, SQL, Pyspark, PowerBI etc. You've got a background in software engineering, including Front End technologies like JavaScript. You're a problem-solver, pragmatically exploring options and finding effective solutions. An understanding of how to design and build well-structured, maintainable systems. Strong communication skills and a collaborative approach to work. You embrace the chance to try new things, learn new skills and grow your experience. It would be great if you have: Experience of relevant cloud services within AWS, Azure or GCP. Experience working in an Agile environment. Experience working with common vendor products such as Snowflake or Data Bricks. Experience working with CI/CD tooling. What you'll get in return is: 25 days' annual leave, rising to 30 days with each year of service. Generous family leave policies. Access to an employer pension scheme, private medical services and Group Life Assurance. A range of optional benefits such as discounted gym membership and a cycle-to-work scheme. A meaningful approach to evaluating your performance and providing feedback on your progress. At Scott Logic, we value the flexibility of remote working alongside the value gained from spending time with our colleagues and clients. In our offices you'll find employee-led clubs and events, as well as free games, books, and refreshments. We have shared values that govern our behaviour toward others and the environment. We are proud to be a B Corp, a global movement of businesses driving for a more inclusive, equitable, and regenerative economy. We believe diversity drives innovation, and embrace a culture where everyone can contribute, irrespective of race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability.

We work with some of the UK's biggest companies and government departments to provide a pragmatic approach to technology, delivering bespoke software solutions and expert advice. Our clients are increasingly looking to us to help them make the best use of their data. In building data platforms and pipelines, our data engineers create the foundation for diverse data & analytics solutions, including data science and AI. They build data lakes and warehouses, create the processes to extract or access operational data, and transform siloed datasets into integrated data models that allow insight into business performance and problems or training of ML models. These are hands-on, client-facing roles, with openings at senior or lead level to suit your experience. You may be leading teams, setting technical direction, advising clients or solving tough engineering challenges. You'd also be expected to spend some time on-site with clients in the London area on an ad-hoc basis. Our data engineers combine a strong software engineering approach with solid data fundamentals and experience with modern tools. We're technology agnostic, and we're open minded when it comes to your existing skillset. What are we looking for? Good experience with some of the technologies and approaches typical in modern data engineering and reporting. Including storage, data pipelines to ingest and transform data, and querying & reporting of analytical data. You've worked with technologies such as Python, Spark, SQL, Pyspark, PowerBI etc. You've got a background in software engineering, including Front End technologies like JavaScript. You're a problem-solver, pragmatically exploring options and finding effective solutions. An understanding of how to design and build well-structured, maintainable systems. Strong communication skills and a collaborative approach to work. You embrace the chance to try new things, learn new skills and grow your experience. It would be great if you have: Experience of relevant cloud services within AWS, Azure or GCP. Experience working in an Agile environment. Experience working with common vendor products such as Snowflake or Data Bricks. Experience working with CI/CD tooling. What you'll get in return is: 25 days' annual leave, rising to 30 days with each year of service. Generous family leave policies. Access to an employer pension scheme, private medical services and Group Life Assurance. A range of optional benefits such as discounted gym membership and a cycle-to-work scheme. A meaningful approach to evaluating your performance and providing feedback on your progress. At Scott Logic, we value the flexibility of remote working alongside the value gained from spending time with our colleagues and clients. In our offices you'll find employee-led clubs and events, as well as free games, books, and refreshments. We have shared values that govern our behavior toward others and the environment. We are proud to be a B Corp, a global movement of businesses driving for a more inclusive, equitable, and regenerative economy.

Senior Software Engineer in Test (SDET) Department: Software Engineering Employment Type: Permanent - Full Time Location: Remote, UK Description Within Hazelcast our Quality Engineering team is dedicated to maintaining the highest standards of software quality for our customers. As part of our team you will be among fellow skilled quality engineers whose focus is to ensure our Java-based real-time distributed storage and stream processing platform meets rigorous quality benchmarks. We are looking for Software Engineers in Test with strong experience testing Java software platforms to work side by side with our expert Java developers. In this role, you'll tackle complex challenges, contribute to our product quality vision and play a key part in delivering reliable, high-performance software that delights our customers. WHAT YOU'LL DO Work closely with software developers to understand the system architecture, design, and implementation to create effective test strategies. Pay attention to code quality and software craftsmanship Participate in code reviews, ensuring that code is designed with test automation in mind. Participating proactively in daily standup meetings, story grooming sessions, team retrospectives, regularly reporting progress as well as suggesting and implementing improvements. Develop detailed test plans, test scripts and test completion reports based on functional and technical specifications. Develop, maintain, and enhance automated testing frameworks for functional and non-functional testing. Design and execute performance, load, and stress tests to ensure the application can scale and perform under heavy traffic or resource constraints. Integrate automated tests into the CI/CD pipeline to ensure frequent, automated validation of code changes. Monitor the health of test suites and ensure that automated tests run successfully whilst ensuring test environment and test cases are optimized to improve system performance. Investigate test failures and work closely with developers to diagnose and resolve defects and issues. WHAT YOU HAVE Min. 5 years experience in a Quality Engineering role Min. 5 years experience with Java (building test frameworks and testing Java applications) Experience in Distributed Caching, Compute and Streaming Experience with automation frameworks and tools (JUnit) Experience in non-functional / quality attribute verification. Performance benchmarking (latency and throughput) Resilience testing (chaos and fuzzing) Scalability testing Additional Desired Skills Demonstrated experience using AI/LLM tools, developing prompts, code, tools and automation that enhance product quality with less friction Experience with CI/CD (Jenkins, Github Actions) Experience with Linux and Bash Experience with Docker, Maven, JFrog Experience with Cloud Platforms such as AWS Experience with Infrastructure Deployment (Docker, Kubernetes, Terraform, Ansible) Experience with Vulnerability & Compliance Tools (SonarQube, OWASP, Trivy, Blackduck) Experience of Big Data Storage Testing including designing and manipulating test data Experience with development frameworks (Spring, Springboot, VertX, Quartkus) Experience across Enterprise and Opensource solutions Bachelor's degree in a relevant field of study (Computer Science, or related discipline) or equivalent experience. Understanding of the QA process (Test Plans, Test Scripts & Test Completion Reports) PERSONAL QUALITIES A passion for quality as well as for both detecting and preventing defects. Excellent analytical and troubleshooting skills with attention to detail. Efficient at debugging code and resolving issues quickly. Ability to work effectively in a remote team environment, a team player who fosters collaboration. Able to make critical decisions, able to balance quality and time ensuring products and features are released in a timely manner without compromising on critical testing. Inquisitive, using critical thinking to ask lots of questions, overcome biases, break assumptions and consider different perspectives. Able to plan and organise your own work. Deep understanding of testing methodologies such as unit testing, integration testing, regression testing, and non-functional testing (Performance, load, stress, soak). Excellent written and verbal communication skills to clearly convey complex information and collaborate with cross-functional teams BENEFITS 25 days annual leave + Bank holidays Group Company Pension Plan Private Medical Insurance Private Dental Insurance Life Insurance EAP (Employee Assistance Program)

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.

DevOps Associate Manager Traka# DevOps Associate Manager An Amazing Career Opportunity for a DevOps Associate Manager! Location: Cardiff UK Job ID: 49882 As Associate Manager DevOps, you will help drive the team formation, implementation and maintenance of a robust CI/CD pipeline within HID PACS.This is a wide-ranging role, bridging the functions of the DevTest and Development teamsYou will lead the establishment and continuous improvement of a sustainable DevOps framework, delivering scalable CI/CD-enabled test environments that accelerate release cycles, improve release predictability, and support reliable software delivery. Who are we? HID powers the trusted identities of the world's people, places, and things, allowing people to transact safely, work productively and travel freely.We are a high-tech software company headquartered in Austin, TX, with over 4,500 worldwide employees. Check us out here: and Physical Access Control Solutions (PACS): HID Physical Access Control Solutions (PACS) is at the forefront of securing spaces with advanced, reliable access control solutions. From cutting-edge readers, credentials and controllers, to mobile and biometric technologies, HID PACS empowers organizations worldwide to protect their people, property and assets with scalable, high-quality solutions. This is more than just a job - it's your chance to join an industry leader to drive innovation in access control and make a real impact on global security solutions. Team Objectives : 1. Faster Time to Market Continuous Integration/Continuous Deployment (CI/CD): Automating the testing and deployment processes reduces the time required to release new features and updates.Reduced Time for Feedback: Quick feedback loops enable rapid identification and resolution of issues. 2. Improved Quality and Reliability Automated Testing: Ensures consistent and thorough testing, reducing the risk of human error.Continuous Monitoring: Proactive monitoring and alert help in early detection of potential issues. 3. Scalability and Flexibility Infrastructure as Code (IaC): Automating infrastructure management allows for scaling and flexibility in resource allocation. 4. Enhanced Collaboration and Efficiency Unified Teams: DevOps promotes a culture of collaboration between development and operations teams, leading to better communication and fewer bottlenecks.Shared Responsibilities: Cross-functional teams share responsibilities for development, testing, deployment, and monitoring. 5. Cost Savings Reduced Downtime: Improved reliability and quicker issue resolution minimize downtime costs.Efficient Resource Utilization: Automation and streamlined processes reduce the need for manual intervention and rework. 6. Adaptability: The organization can quickly adapt to changing market demands and technological advancements. As our DevOps Associate Manager, you'll support HID's success by: Able to design and implement a wide range of testing techniques to support a scalable and automated CI/CD environment. Monitor and triage CI/CD pipeline test failures. Design, build and documentation of new CI/CD infrastructure for new features. Able to identify and liaise with teams to identify test gaps Able to communicate test results to both technical and non-technical stakeholders. Able to project manage and use technical leadership to achieve a team result Contributes to project and product planning discussions Understands how the product under test operates as part of a wider system Able to liaise with the Program team prior to feature development to flesh out requirements required for new tests Plans and scopes for new functionality test requirements Able to make decisions regarding the Test Environment Coaches / mentors others at a technical level Able to raise defects with the business and help prioritize them based on severity Able to research, plan and train others within the team Able to deliver technical reports Actively contribute to customer escalations Champions TDD methodology and leads stakeholders in its implementation. Education and/or Experience Engineering degree or equivalent, or suitable experience. Minimum of +7 years of related industry experience. Familiarity with infrastructure management and monitoring tools. Awareness of developer operations platform tooling such as Jenkins, GitLab, Gradle, Snyk, SonarQube, DefectDojo, Ansible, Yocto-Cooker, Ant, Maven, NPM, Nexus, Docker, Terraform, AWS DevOps Services (As examples) Familiarity with documentation standards and practices with a developer operations focus. Good presenting and communication skills, good judgment, analytical ability. Experience in building and maintaining good working relationships with both external and internal parties Strong IT skills and knowledge including hardware, software, and networking. Ability to work on complex tasks without technical guidance. Familiarity with Agile methodologies and practices Knowledge of various test/development methodologies such as TDD, BDD, Acceptance Testing and Unit Testing. What we can offer you: Competitive salary and rewards package. Competitive benefits and annual leave offering, allowing for work-life balance. A vibrant, welcoming & inclusive culture. Extensive career development opportunities and resources to maximize your potential. To be a part of a global organization that is pioneering the hardware, software and services that allow people to confidently navigate the physical and digital worlds. Why apply? Empowerment: You'll work as part of a global team in a flexible work environment, learning and enhancing your expertise. We welcome an opportunity to meet you and learn about your unique unique talents, skills, and experiences. You don't need to check all the boxes. If you have most of the skills and experience, we want you to apply. Innovation: You embrace challenges and want to drive change. You'll have opportunities to share insights and contribute forward-thinking ideas that shape future outcomes. Integrity: You are results-orientated, reliable, and straightforward and value being treated accordingly. We want all our employees to be themselves, to feel appreciated and accepted.HID does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. We are not responsible for any fees related to unsolicited resumes.HID is committed to building a diverse, equitable, and inclusive workforce that reflects the global communities we serve. As an equal opportunity employer, we welcome applications from individuals of all backgrounds, experiences, and perspectives. We evaluate applicants without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, veteran status, or any other legally protected characteristic. Our goal is to create a workplace that empowers everyone to thrive and be their authentic selves, fostering an environment of mutual respect and inclusivity. If you have a disability and require assistance or accommodation to participate in the application process or to perform essential job functions, please contact . Immigration Sponsorship Not Available Applicants for this position must be currently and legally authorized to reside and work in the hiring country. HID Global will not offer immigration sponsorship or assume sponsorship of an employment visa for this position. International relocation or remote work arrangements outside of the hiring country will not be considered.Our Talent Acquisition team may use an AI-powered screening tool to support their initial review of your application. The tool analyzes resume content such as qualifications, skills, and experience to help recruiters assess applications against role requirements. It does not score, rank, filter, or make any decisions about your application. All hiring decisions are made by people following their own review of your full application.Information processed by the tool is deleted once the recruiter's review is complete.If you believe the tool has not accurately represented your application, you can request direct human review by contacting with the subject line "Application Review Request" and the role you applied for. HID is certified as a Great Place to Work in the UK, reflecting employee feedback on trust, collaboration, and workplace culture. We are the ASSA ABLOY Group Our people have made us the global leader in access solutions. In return, we open doors for them wherever they go. With nearly 63,000 colleagues in more than 70 different countries, we help billions of people experience a more open world. Our innovations make all sorts of spaces - physical and virtual - safer, more secure, and easier to access.As an employer, we value results - not titles, or backgrounds. We empower our people to build their career around their aspirations and our ambitions - supporting them with regular feedback, training, and development opportunities. Our colleagues think broadly about where they can make the most impact, and we encourage them to grow their role locally, regionally, or even internationally.As we welcome new people on board, it's important to us to have diverse, inclusive teams, and we value different perspectives and experiences.Application due2026-09-25FunctionEngineering & ScienceExperience levelMid-senior levelOffice presenceHybridLocationCardiff, Wales, United KingdomKraków, PolandApply

Platform Engineer - Developer Platform & DevOps ToolingApplyremote type: Hybridlocations: Crawley, United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: JR101332Viridien () is an advanced technology, digital and Earth data company that pushes the boundaries of science for a more prosperous and sustainable future. With our ingenuity, drive and deep curiosity we discover new insights, innovations, and solutions that efficiently and responsibly resolve complex natural resource, digital, energy transition and infrastructure challenges. Job DetailsViridien is seeking a Platform Engineer - Developer Platform & DevOps to help create the tools, services, and automation that enable engineering teams to develop, deploy, and operate software across a large-scale HPC platform. This is a platform engineering role that combines software development, DevOps, and platform operations. We are looking for someone with a developer background who wants to grow their platform engineering skills while writing maintainable code, supporting production services, and improving the platforms that engineering teams rely on day to day. You will work across CI/CD systems, GitLab, Kubernetes services, Puppet-managed environments, observability tooling, and OpenStack-backed infrastructure. OpenStack and AI-related experience are useful but not required. # About The TeamYou will join a team focused on platform engineering and developer tooling, supporting scalable software development, reliable software delivery, and large-scale compute environments. The team works closely with software engineering, infrastructure, operations, and research teams to build practical tools and platform capabilities that help developers ship and operate software more effectively. # Key Responsibilities Software & Tooling Development Help design, build, and maintain internal tools, services, APIs, and automation for engineering teams. Contribute improvements to developer workflows across build, test, release, deployment, and operational processes. Develop reliable, maintainable software that integrates with existing platform and infrastructure systems, with support from experienced engineers where needed. DevOps & Platform Integration Work with CI/CD pipelines, containerised environments, and Kubernetes-based platforms. Help automate repetitive operational workflows and improve deployment reliability. Contribute to infrastructure-as-code, configuration management, and platform automation where needed. Platform Support Support key engineering platforms and services, including GitLab, Kubernetes, Puppet-managed environments, and OpenStack-backed infrastructure. Improve platform workflows through software, automation, documentation, and operational feedback. Work closely with platform owners and users to reduce toil, improve reliability, and turn requirements into practical improvements. Reliability, Reporting & Service Health Contribute to tooling for monitoring, logging, debugging, and operational visibility. Ensure uptime, availability, and operational readiness of Kubernetes-based services. Assist with diagnosing complex issues across application, platform, and infrastructure boundaries. Contribute to reliability, performance, and scalability improvements for platform services. Produce clear reporting on platform health, delivery status, incidents, and improvement work. Help define, track, and communicate relevant KPIs for developer workflows, platform reliability, and service performance. Follow established processes and procedures when working with live production environments. Turn operational trends and recurring issues into practical backlog items and engineering improvements. Collaboration & Architecture Work closely with software engineers, platform engineers, and infrastructure teams. Participate in architecture and design discussions for developer tooling and platform services. Learn from senior engineers and contribute increasingly independently over time. # Qualifications Required Software development experience in one or more modern programming languages; Go, C++, Python, and scripting experience are especially useful. Experience building or contributing to tools, services, APIs, platforms, or distributed systems. Familiarity with CI/CD pipelines, automated testing, release processes, or deployment automation. Practical experience with Linux and containers, with exposure to Kubernetes or similar orchestration platforms. Ability to write maintainable code and willingness to learn how to operate it in real environments. Good debugging and problem-solving skills, with an interest in understanding issues across software and platform layers. Comfortable collaborating across development, platform, and operations teams. Desirable Experience with AI-powered CLI tools, reusable agent/AI skills, agent-based or AI-assisted developer workflows, and LLM-based tooling. Experience with observability tools such as Prometheus, Grafana, ELK, Thanos, or similar. Experience with infrastructure automation, infrastructure-as-code, or deployment tooling such as Terraform or Helm. Experience with Puppet, Ansible, or similar configuration management tooling. Exposure to OpenStack, cloud infrastructure, and large-scale compute environments. Familiarity with authentication and access control systems such as OIDC. Experience supporting high-performance, data-intensive, or research-oriented workloads. Why work with us? £40,000-£46,000 per annum depending on experience Highly attractive bonus scheme Initial 22 days annual leave with future increases, complemented by a flexible buying and selling holiday program Company pension with generous employer contribution Wellbeing Unmind app - puts you in control of your mental health A flexible benefits platform with numerous discount schemes - gym membership, restaurants, cinema tickets, and much more! Regular social club events, spontaneous reward events throughout the year Cycle purchase scheme Flexible Private Medical & Dental care programmes Sponsorship of visas/comprehensive relocation packages Bank Holiday Swap - our holiday swap program allows you to change it for another day of your choice! Relaxed dress code policy Learning and Development At Viridien, we foster a culture of continuous learning and provide tailored training programs through our Learning Hub, designed to enhance technical, commercial, and personal growth. We Care About The Environment We encourage and actively support a strong sense of community, through volunteering and various company initiatives, as well as a strong company commitment to protecting our environment through sustainable solutions, energy saving and waste reduction enterprises. Our Hiring Process At Viridien, we are committed to delivering a respectful, inclusive, and transparent recruitment experience.Due to the high volume of applications we receive, we may not be able to provide individual feedback to every applicant. Only candidates whose qualifications closely match the role criteria will be contacted for an interview. We do, however, aim to share personalized feedback with those who progress to the first round of interviews and beyond.We are also dedicated to ensuring that our hiring process accessible to all. If you require any reasonable adjustments to fully participate in the application or interview stages, please don't hesitate to contact your recruiter directly.We see things differently. Diversity fuels our innovation, we value the unique ways in which we differ, and we are committed to equal employment opportunities for all professionals.

Olo is a leading SaaS platform accelerating digital transformation in the restaurant industry, by helping customers deliver more personalised and profitable guest experiences. As a result, our digital ordering, payment, and guest engagement solutions enable brands to do more with less and make every guest feel like a regular. While our roots are in NYC, we're intentionally investing in Belfast and Northern Ireland as a key hub, with an established leadership presence, a local team, and community for the long term. This role is fully remote, offering you flexibility to work from anywhere within NI. Your new role In this role, you'll join as a Senior Software Engineer on the 'Merchant Solutions' team, which is part of the wider 'Pay' engineering group. The Merchant Solutions team is responsible for a wide array of functionality of our Olo Pay product. This includes supporting both card-present and card-not-present transaction flow, reconciliation and reporting, payouts, pricing plans, merchant account management, and more. Work can include building exciting new initiatives from scratch, adding functionality to our existing products, and supporting our brands. How you'll make an impact Demonstrate proficiency in the team's domain and technology stack, providing guidance and mentorship to junior engineers and contributing to technical decision-making. Proactively address technical debt by prioritising its resolution alongside feature development, ensuring maintainable, scalable, and high-quality codebases through regular refactoring and system improvements. Take ownership of complex features and projects, working independently and collaborating with team members to drive development from concept to delivery. Lead code reviews, set quality standards, and offer in-depth feedback to improve code quality across the team. Partner with Product and other stakeholders to refine requirements, ensuring solutions are well-architected and aligned with business goals. Focus on delivering reliable, maintainable software solutions and actively implements performance optimisations and resilience mechanisms. Monitor and maintain services in production, diagnosing and resolving critical issues efficiently with minimal support. Participate in the architecture and design of distributed systems, ensuring best practices are followed for reliability and scalability. Take the initiative to improve the team's development processes and tooling, advocating for best practices and automation improvements. Ensure consistency and quality in shared components and APIs. Contribute actively to the team's knowledge base, lead learning sessions, and promote a culture of continuous improvement. Demonstrate ownership of the team's delivery pipeline, ensuring that code quality, testing standards, and deployment practices are continuously optimised. Active participation in on-call duties is required, with specific responsibilities determined by your assigned team and area of expertise. What will set you up for success Bachelor's Degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience. 5+ years of experience in software engineering. Advanced Programming Skills: Highly proficient in .Net/C# and capable of independently designing and implementing complex algorithms and architectures. CI/CD Mastery: Skilled in managing and improving CI/CD processes, with hands on experience using tools like GitHub Actions, TeamCity, and Octopus Deploy. Testing and Automation: Expert in unit, integration, and end to end testing practices, with a strong emphasis on automation for testing and deployment. Distributed Systems and Cloud Services: Strong knowledge of building and maintaining distributed systems, leveraging cloud platforms and services (e.g., AWS, MongoDB Atlas, Kubernetes/EKS). Technical Leadership and Collaboration: Demonstrates leadership skills by mentoring peers, leading technical discussions, and collaborating effectively across teams and departments to deliver solutions aligned with business priorities. About Olo Olo is a leading restaurant technology provider with ordering, payment, and guest engagement solutions that help brands increase orders, streamline operations, and improve the guest experience. Each day, Olo processes millions of orders on its open SaaS platform, gathering the right data from each touchpoint into a single source-so restaurants can better understand and better serve every guest on every channel, every time. Over 800 restaurant brands trust Olo and its network of more than 400 integration partners to innovate on behalf of the restaurant community, accelerating technology's positive impact and creating a world where every restaurant guest feels like a regular. Learn more at Applicant Privacy Notice (United Kingdom)

Advanced Solutions ArchitectSkip to main contentLight & Wonder does not collect personally identifiable or confidential information about individuals or companies through the use of "cookies", "spiders", "web beacons" or other data mining devices except when such individuals specifically provide information on a voluntary basis, for example, in the On the Wire account-opening registration process and in transactional areas of this Web Site. Solutions Architect page is loaded Advanced Solutions ArchitectApplyremote type: Hybridlocations: Chiswick, United Kingdom: Sofia, Bulgaria: Marousi, Greecetime type: Full timeposted on: Posted Todayjob requisition id: R322289 iGaming: If it's iGaming, we know a thing or two. At Light & Wonder, It's all about the games, and our digital team leads the global iGaming market, providing jaw-dropping content and innovative software that powers the world's most successful online gaming providers. Position Summary The Senior Software Architect is a senior technical leadership role within the iGaming Platform team. This is not a "heads-down coding" role, nor is it a purely advisory one - it sits at the intersection of hands-on delivery and architectural ownership. You will be expected to make and defend design decisions, lead cross-team technical alignment, and ensure the platform scales, integrates, and operates reliably at global scale.You bring established architecture experience, deep software engineering instincts, and the credibility to influence without authority across multiple platform portfolios. You will contribute to the Architecture Review Board (ARB), own Architectural Decision Records (ADRs), and play a central role in shaping how the OpenGaming platform evolves. Architectural Leadership Own and produce Architectural Decision Records (ADRs) for significant design decisions, ensuring rationale, context, and consequences are documented and retained Participate actively in the Architecture Review Board (ARB), reviewing solution designs across platform portfolios and applying the L&W Architectural Standards Define and enforce architecture patterns, integration contracts, and non-functional requirements (NFRs) across the Nova platform and adjacent systems Contribute to the Tech Atlas, Asset Registry, and governance artefacts that underpin L&W's architecture practice Lead threat modelling exercises using structured approaches (STRIDE, Threagile) and translate outcomes into actionable security requirements Technical Design & Delivery Produce high-quality solution designs - from C4 context and container diagrams through to component and sequence-level detail - that can be directly implemented by engineering teams Design and evolve RESTful and event-driven APIs using OpenAPI specifications, establishing contracts that support independent team delivery Architect integrations with third-party systems including payment providers, identity services, regulatory reporting endpoints, and operator platforms Provide technical governance over CI/CD pipeline design, environment architecture, and deployment strategies using GitHub Actions, Kustomize, and ArgoCD Hands-on prototyping and proof-of-concept development when needed to de-risk architectural decisions Engineering Quality & Standards Define and champion non-functional standards: performance baselines, resilience patterns, observability requirements, and security controls Lead or contribute to performance and load testing design, interpreting results in the context of SLAs and platform growth targets Establish and evolve coding and integration standards across Java/Spring services on the platform Drive adoption of structured security practices through the Security Champions programme and DevSecOps tooling integration Collaboration & Influence Provide technical mentorship to Associate and mid-level architects and senior engineers, building architectural thinking across the team Translate complex technical positions into clear, concise communication for delivery leads, product managers, and executive stakeholders Drive alignment between iGaming and wider L&W engineering teams on shared concerns: API strategy, data platforms, observability, and shared services Participate in hiring and technical assessment processes for engineering and architecture candidates Qualifications Degree in Computer Science, Software Engineering, or a related technical discipline, or demonstrably equivalent experience. Professional certifications (AWS, Azure, GCP) are valued but not a substitute for practical architecture experience. 7+ years in software engineering with at least 3 years in an explicit architecture role - designing systems, not just building them Proven track record of owning architectural decisions end-to-end: from initial discovery and option analysis through to documented ADR and post-implementation review Strong Java/Spring Boot background with demonstrable experience designing cloud-native microservices at scale Experience designing and operating event-driven systems using Kafka or equivalent messaging platforms Hands-on exposure to API gateway technologies and federated API management across multiple consumer profiles Experience operating in a regulated or compliance-driven environment (gaming, fintech, payments, or similar) Demonstrable experience working within or contributing to a governance process - ARB, design authority, technical steering, or equivalent Comfortable producing architecture artefacts independently: C4 diagrams, ADRs, threat models, NFR matrices Additional Information Why would you enjoy working with us at Light & Wonder? Competitive benefits, an open and supportive environment as well as a modern and exciting workplace. The opportunity to interact with global teams on a regular basis and the possibility to switch teams and projects as you and our business continues to develop and grow. Exciting projects with opportunities for creating positive change to our game engineering ecosystem.And if that is not enough; you will get to enjoy a stunning work location and flexible working whilst we provide you with the guidance and development skills you need to progress quickly and enhance your career .

Staff Machine Learing EngineerApplyremote type: This position is a hybrid of office/remote workinglocations: United Kingdom - Sunburytime type: Full timeposted on: Posted Todaytime left to apply: End Date: July 31, 2026 (13 days left to apply)job requisition id: RQ113361 Entity: Technology Job Family Group: IT&S Group Job Description: Equal Opportunity Employer bp is an equal opportunity employer. We believe that diversity and inclusion drive innovation and are crucial to our success. We welcome applications from all qualified individuals regardless of race, colour, religion, gender, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected characteristic.We are committed to making reasonable adjustments for candidates with disabilities or long-term conditions. If you require any adjustments during the recruitment process, please let us know. Role Summary We are seeking an exceptional Staff Machine Learning Engineer to serve as a technical leader and architect of machine learning systems across the organisation.This is the highest individual contributor tier within the field - a role for engineers and scientists who not only build world-class ML systems but define how they are built. You will shape architectural direction, establish engineering and scientific standards, and drive the delivery of complex, high-impact ML products that span the journey from research and experimentation through to solutions.A core differentiator of this role is deep applied machine learning science: the ability to develop, validate, and deploy novel ML algorithms and scientific models as reliable, maintainable products - bridging the gap between innovative research and enterprise-scale deployment. You will influence multiple teams, mentor senior engineers, and drive step-change impact across business-critical, scientific, and R&D domains. Key Responsibilities Provide technical leadership in the design and architecture of large-scale, production-grade ML systems and platforms across the organisation. Own end-to-end delivery of complex ML solutions - from scientific problem framing and algorithm design through to deployment, operationalisation, and product delivery. Apply advanced machine learning science to develop novel algorithms and models, ensuring they are rigorously validated and deployed as scalable, reliable, production-grade products. Bridge the gap between scientific research and enterprise deployment - taking ML innovations from experimentation through to productised, maintainable solutions that deliver measurable value. Drive engineering excellence across ML systems, including CI/CD, testing, observability, reliability, and MLOps guidelines. Define technical standards, patterns, and protocols for ML engineering and applied ML science across teams. Lead complex, multi-team technical initiatives and influence organisational direction through technical authority. Evaluate and integrate emerging approaches - including generative AI, Agentic AI, advanced optimisation, and scientific computing - into scalable solutions. Supply to and shape internal ML platforms, reusable frameworks, and shared scientific computing capabilities. Mentor senior engineers and data scientists, raising the technical bar across the subject area. Partner with business and scientific customers to shape ML strategy and identify high-value opportunities. Present technical strategies, architectural decisions, and outcomes to senior leadership. Qualifications Essential MSc, PhD degree or equivalent experience in a quantitative field (e.g. Computer Science, Mathematics, Physics, Engineering, or related subject area). Hands-on experience designing, prototyping, productionizing, and scaling complex ML systems in production environments. Deep and demonstrable expertise in machine learning algorithms, statistical modelling, optimisation techniques, and scientific computing - with a consistent record of applying these to deliver production-grade products. Strong software engineering and system design expertise, including distributed systems, scalable architectures, and API design. Advanced programming experience in languages such as Python, Go, Java, or C++. Advanced SQL knowledge. Strong experience with MLOps, production ML systems, model lifecycle management, and monitoring. Experience working with large-scale data systems and distributed computing frameworks (e.g. Spark, Hadoop). Knowledge of experimental design, scientific methodology, and analysis. Strong partner management and confirmed ability to influence large organisations without direct authority. Demonstrated ability to lead through technical excellence and deliver high-impact, organisation-wide outcomes. Continuous learning and improvement approach. Desired Deep experience in applied machine learning science - including developing novel algorithms and translating scientific research into deployable, production-grade ML products. Experience applying AI/ML to scientific, engineering, or R&D workflows - encompassing experimentation, simulation, optimisation, physics-informed modelling, and autonomous scientific workflows. Strong experience with generative AI (LLMs, RAG, multimodal systems) and their deployment in production. Experience designing or deploying Agentic AI systems - including autonomous agents, tool use, multi-agent orchestration, reasoning workflows, and agent-driven scientific discovery. Consistent record of innovation through publications in peer-reviewed venues, invention disclosures (IDFs), patents, or open-source contributions in machine learning or AI. Experience building ML platforms, reusable scientific computing frameworks, or internal tooling that accelerates delivery across teams. Familiarity with model interpretability, uncertainty quantification, and advanced experimental frameworks. No prior experience in the energy industry required. What We Offer Complete by TA / HR with local benefits and compensation details Competitive compensation and benefits package. Opportunity to lead and shape the future of ML and AI at one of the world's largest energy companies. A culture that values scientific difficulty, engineering excellence, and continuous learning. Hybrid working arrangements and a commitment to work-life balance. Career development pathways in a world-class technology organisation.Please note that roles based out of SJS or Sunbury will move to Timber Square, Southwark, from Q4 2027 Why join us? At bp, we support our people to grow in a diverse and exciting environment. We believe that our team is strengthened by diversity. There are many aspects of our employees' lives that are meaningful, so we offer benefits to enable your work to fit with your life. These benefits can include flexible working options, a generous paid parental leave policy, excellent retirement benefits, among others! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Reinvent your career as you help our business meet the challenges of the future. Apply now! Travel Requirement Negligible travel should be expected with this role Relocation Assistance: This role is not eligible for relocation Remote Type: This position is a hybrid of office/remote working Skills: Agility core practices, Agility core practices, API and platform design, Cloud Platforms, Collaboration, Communication, Configuration management and release, Continuous deployment and release, Creating a high performing team, Database Design, Digital Project Management, Documentation and knowledge sharing, Emerging technology monitoring, Facilitation, Information Security, Mentoring, Metrics definition and instrumentation, NoSql data modelling, Problem Solving, Relational Data Modelling, Risk Management, Scripting, Secure development, Service operations and resiliency, Software Design and Development + 7 more Legal Disclaimer: We are an equal opportunity employer. We do not discriminate on the basis of protected characteristics like race, religion, color, sex, national origin, sexual orientation, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp's recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please contact us. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.

Senior Cloud EngineerApplyremote type: Hybridlocations: Crawley, United Kingdom: Conwy, United Kingdomtime type: Full timeposted on: Posted Yesterdayjob requisition id: JR101309Viridien () is an advanced technology, digital and Earth data company that pushes the boundaries of science for a more prosperous and sustainable future. With our ingenuity, drive and deep curiosity we discover new insights, innovations, and solutions that efficiently and responsibly resolve complex natural resource, digital, energy transition and infrastructure challenges. Job Details Viridien is seeking a Senior Cloud Engineer to lead the implementation and operation of secure, scalable cloud platforms across both Viridien and client environments.This role is responsible for translating cloud architectures into production-ready solutions, supporting the deployment of Data Hub's data transformation and analytics platform across multiple cloud environments. You will work closely with software, data, and infrastructure teams to deliver reliable, secure, and repeatable deployments while ensuring operational excellence and adherence to governance requirements. About The Team You will join the Data Hub team, a multidisciplinary group of scientists, engineers, and developers focused on solving complex data transformation and analytics challenges across industries including geothermal, environmental, hydrocarbon, and mineral exploration.The team works in a collaborative environment alongside data engineers, machine learning engineers, and software developers. This role is based in either North Wales or Crawley with a hybrid working arrangement. Key Responsibilities Cloud Platform Engineering Implement cloud architectures within Viridien and client environments. Build and automate cloud foundations including networking, identity, governance, and security controls. Deliver and operate Kubernetes-based platforms, primarily using Azure Kubernetes Service (AKS). Infrastructure Automation & Deployment Develop and maintain Infrastructure as Code using Terraform, Bicep, or similar tools. Build and manage CI/CD pipelines, deployment processes, and release controls. Create reusable cloud modules and deployment patterns to improve consistency and scalability. Security & Governance Implement security controls including IAM/RBAC, network segmentation, encryption, secrets management, and policy enforcement. Ensure cloud platforms meet security, compliance, and governance requirements. Support vulnerability management and security monitoring practices. Operations & Reliability Implement monitoring, alerting, backup, and disaster recovery solutions. Troubleshoot and resolve complex issues across cloud, Kubernetes, and database platforms. Develop operational documentation, runbooks, and knowledge transfer materials. Stakeholder Collaboration Work closely with software teams, client stakeholders, and operations teams to deliver cloud solutions. Support technical planning, risk management, and deployment activities. Contribute to engineering standards, best practices, and continuous improvement initiatives. Qualifications Required Proven experience delivering production cloud environments, particularly within Microsoft Azure. Strong experience implementing and operating Kubernetes platforms. Experience deploying and supporting database platforms using both PaaS and VM-based solutions. Strong experience with Infrastructure as Code tools such as Terraform or Bicep. Experience building and maintaining CI/CD pipelines. Strong understanding of cloud security principles, including IAM, networking, encryption, and secrets management. Experience troubleshooting networking, distributed systems, and cloud platform issues. Ability to work independently and take ownership of technical delivery. Preferred Experience with AWS and/or OpenStack environments. Experience implementing landing zones and cloud governance frameworks. Scripting and automation experience using PowerShell, Python, or Bash. Experience with policy-as-code and cloud security tooling. Experience supporting hybrid or private cloud environments. Experience working within highly regulated or security-sensitive environments. Additional Information Hybrid working available from North Wales or Crawley. Opportunity to work across both Viridien and client cloud environments. Collaboration with software, data, and machine learning teams on large-scale data and analytics platforms. Why work with us? Competitive salary commensurate with experience Highly attractive bonus scheme Hybrid model and flexible working with up to 2 days at home Initial 22 days annual leave with future increases, complemented by a flexible buying and selling holiday program Company pension with generous employer contribution Wellbeing Unmind app - puts you in control of your mental health A flexible benefits platform with numerous discount schemes - gym membership, restaurants, cinema tickets, and much more! Regular social club events, spontaneous reward events throughout the year Cycle purchase scheme Flexible Private Medical & Dental care programmes Sponsorship of visas/comprehensive relocation packages Bank Holiday Swap - our holiday swap program allows you to change it for another day of your choice! Relaxed dress code policy L earning and Development At Viridien, we foster a culture of continuous learning and provide tailored training programs through our Learning Hub, designed to enhance technical, commercial, and personal growth. We Care About The Environment We encourage and actively support a strong sense of community, through volunteering and various company initiatives, as well as a strong company commitment to protecting our environment through sustainable solutions, energy saving and waste reduction enterprises. Our Hiring Process At Viridien, we are committed to delivering a respectful, inclusive, and transparent recruitment experience.Due to the high volume of applications we receive, we may not be able to provide individual feedback to every applicant. Only candidates whose qualifications closely match the role criteria will be contacted for an interview. We do, however, aim to share personalized feedback with those who progress to the first round of interviews and beyond.We are also dedicated to ensuring that our hiring process accessible to all. If you require any reasonable adjustments to fully participate in the application or interview stages, please don't hesitate to contact your recruiter directly.We see things differently. Diversity fuels our innovation, we value the unique ways in which we differ, and we are committed to equal employment opportunities for all professionals.

Black Duck Software, Inc. helps organizations build secure, high-quality software, minimizing risks while maximizing speed and productivity. Black Duck, a recognized pioneer in application security, provides SAST, SCA, and DAST solutions that enable teams to quickly find and fix vulnerabilities and defects in proprietary code, open source components, and application behavior. With a combination of industry-leading tools, services, and expertise, only Black Duck helps organizations maximize security and quality in DevSecOps and throughout the software development life cycle. The Data Science group sits within Black Duck's Data Engineering organisation, operating as a centre of excellence in statistical analysis, machine learning engineering, and applied AI. We work at the intersection of cybersecurity and data intelligence; building models, evaluation frameworks, and AI-powered capabilities that directly shape how tens of thousands of developers and security teams understand and respond to risk. Our work spans predictive analytics, behavioural modelling, LLM integration, and the development of internal AI platforms. We're opinionated about quality, curious by default, and outcome-driven in everything we ship. Our Values Trust: We'd rather be late than wrong. Our work is only as valuable as its credibility. Collaboration: We have deep technical expertise, but we work shoulder-to-shoulder with the subject matter experts who define what "correct" actually means in our domain. Results: We're outcome-driven. Research has value, but it has more value when it's written up, shipped, or handed off. Curiosity: Exploration is core to what we do - including the dead ends. (It's not science unless you write it down.) Fun: We work in a genuinely strange corner of the data world. Revel in it. About the Role As a Senior Data Scientist, you will own the design, development, and production deployment of machine learning and AI systems that drive measurable outcomes across Black Duck's cybersecurity platforms. This is primarily a technical individual contributor role - we're looking for someone who can take a problem from framing through to a shipped, evaluated, production system, and who brings genuine depth in ML/AI engineering rather than general data work. Data infrastructure and pipeline ownership sits with our dedicated Data Engineering function. Your focus is on what we do with that data: building models, evaluating them rigorously, integrating AI capabilities into products and internal tooling, and helping shape how the team approaches applied AI at scale. The role is primarily based at our Belfast R&D site. UK/EMEA remote or hybrid applicants will be considered, with at least quarterly travel to Belfast expected. Additional conference and collaboration opportunities are available commensurate with your impact. Key Responsibilities Design, develop, and maintain machine learning and AI systems, from prototype through to production, with clear evaluation criteria and operational handover Lead the integration of LLM and agentic AI capabilities into Black Duck products and internal platforms (including prompt engineering, retrieval-augmented generation, and tool/agent orchestration) Design and own LLM evaluation frameworks: defining task specific metrics, building offline and online eval pipelines, running structured comparisons across models and configurations, and producing clear recommendations with supporting evidence Conduct cost benefit analysis on AI/ML system decisions: model / architecture / methodology selection, operational costs, build vs buy trade offs, and quantifying the value of AI/ML interventions against baseline approaches; communicating findings clearly to technical and non technical stakeholders Collaborate with R&D and Product Engineering to embed AI capabilities into existing workflows and surfaces Contribute to the team's shared practices around model governance, reproducibility, and responsible AI use Mentor team members, peers and the wider organisation on evolving and emerging ML/AI engineering practices and help continuously maintain the organisation's technical standards Key Qualifications 5+ years of hands on experience in data science, machine learning engineering, or applied AI - with demonstrable delivery of production ML/AI systems, not just research or analysis Strong Software engineering proficiency; you can design and deliver a project or module from scratch that others can build on Experience deploying ML/AI models in production on cloud infrastructure (AWS, Azure, or GCP) and/or Kubernetes workloads Practical experience with ML/AI development stacks: PyTorch, scikit learn, HuggingFace or equivalent; experiment tracking (MLflow, W&B or similar); and model evaluation tooling Experience designing and executing LLM evaluations: building eval datasets, defining metrics, running model comparisons, and translating results into actionable decisions Experience conducting cost benefit or trade off analysis on AI systems; weighing inference cost, latency, accuracy, and operational complexity against business or product value Familiarity with agentic AI patterns: tool use, multi step reasoning, agent orchestration (LangChain, LangGraph, or equivalent) Experience working with LLMs via API integration, prompt engineering, and RAG pipelines Experience with Jupyter and standard scientific Python (pandas, numpy, scipy) Ability to operate independently on multi month projects, manage your own priorities, and communicate clearly across engineering and non engineering stakeholders Hands on experience with AI assisted development tools (GitHub Copilot, Claude Code, Cursor, or similar) Nice to Have Degree in Computer Science, Data Science, Artificial Intelligence, Mathematics, Physics, or a related field (or demonstrated equivalent through portfolio and track record) Familiarity with cybersecurity concepts, application security testing, or software supply chain risk Experience with data/feature stores, model registries, or MLOps tooling (Airflow, DBT, Databricks, or equivalent) Familiarity with Data Mesh or Data Product concepts Experience with enterprise data visualisation (Power BI, Grafana, Snowflake, Databricks dashboards) Comfort in Linux/CLI environments and experience contributing to shared codebases (Git, code review, CI/CD) Track record of written or public communication: internal documentation, papers, blog posts, or conference contributions Black Duck is an equal opportunity employer. We consider all applicants for employment without regard to race, color, national origin, religion, sex, gender identity or expression, age, disability, sexual orientation, veteran or military service status, or any other characteristic protected by applicable law. Black Duck complies with all applicable laws prohibiting employment discrimination in every jurisdiction where it operates and provides reasonable accommodations to individuals with disabilities in accordance with applicable law.

WHO WE ARE Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform - powered by one of the industry's largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to . THE ROLE As a Senior Software Engineer on the LiveIntent Real-Time Ad Serving team, you will design, develop, and own the business logic that powers programmatic advertising at scale - ad selection, targeting, frequency capping, budget pacing, and delivery optimization. The real-time platform is built on C++ and Lua: C++ provides the high-performance server framework, while Lua implements the business logic layer. You will work primarily in Lua, developing and evolving the features that directly serve LiveIntent's product - ensuring advertisers get the best outcomes and publishers maximize their revenue. While we're open to candidates with experience in any backend language, a willingness to work with Lua is essential - we provide time and the right environment to get up to speed. You will collaborate closely with Product, working on features that directly impact LiveIntent's customers - from ad targeting and delivery to reporting and optimization. This is a hands on engineering role where your code runs in production handling billions of daily transactions. This is a hybrid/remote role based out of our Berlin, Germany or Prague, Czech Republic offices. ESSENTIAL RESPONSIBILITIES Develop and optimize business logic in Lua for ad selection, targeting, frequency capping, and budget pacing Design, build, and maintain real time services processing 200K+ requests per second with strict latency requirements Work closely with Product to deliver features that meet advertiser and publisher needs Ensure code quality through code reviews, automated testing, and continuous integration Participate in architecture discussions and influence the technical roadmap Participate in on call rotation to support production systems DESIRED CHARACTERISTICS 5+ years of software engineering experience in backend development Deep understanding of computer science fundamentals: data structures, algorithms, performance optimization Experience building and operating distributed systems in production Exposure to the full software development lifecycle - from design to production and monitoring Strong commitment to code quality, automated testing, and documentation Proficient English (the interview process will be held in English) Experience with Lua or willingness to learn (we provide time and the right environment) Experience in online advertising / ad tech (RTB, programmatic, DSP/SSP) is a plus Proficiency in a systems level language (C++, Go, Rust, or Java) is a plus Experience with MongoDB and real time data processing is a plus Experience with cloud infrastructure (AWS) at scale is a plus Experience with AI assisted development tools and agentic workflows is a plus Experience with OpenRTB protocol and ad exchange integrations is a plus BENEFITS & PERKS Excellent medical, dental, and vision coverage PEOPLE & CULTURE AT ZETA Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual's sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression. We're committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here: