1452 jobs found

Full Stack Engineer (Investment Platform) req4534 Posted on: 15/07/2026 - Application Deadline: 29/07/2026 Are you ready tochart your own career path? With our refreshed strategy, we're building on our rich heritage and transforming our business to be more scalable and efficient, unlocking the capabilities needed for future success.This includes significantly investing in technology, streamlining the way we work and creating an environment where colleagues feel engaged, empowered and accountable; where they can show up, speak up and perform - because we believe in the difference our work makes. At a glance: Location: London - Lombard Street Office Workplace Type: Hybrid Employment Type: Permanent Seniority: Mid-Senior Level This role is known as 'Investment Platform Engineer' internally About the role: The Investment Platforms team bridges the gap between Investments and Technology, partnering closely with the Investment Directorate and Investment Operations teams to deliver technology change and operate platform systems that underpin our Investment Proposition. They manage a diverse and specialist technology landscape, including discrete applications, platform technologies, underlying data stores, market data solutions, and 3rd party managed services. The team works with the broader technology community to ensure Investment systems are scalable, secure, and aligned with business priorities, enabling innovation and operational excellence across the investment lifecycle. As an Investment Platform Engineer, you will engineer and support the end to end development, enhancement, and release of platform features using a broad range of technologies including but not limited to; Python, web frameworks, SQL, and React. You will ensure the reliability of internal applications, contribute to the availability and monitoring of automated workloads, and help deliver robust data and application services for investment teams. You will also configure and execute jobs across third party investment platforms including Bloomberg, Aladdin, and FactSet, acting as a technology SME and partnering with Data, Technology, and Vendor Management teams to ensure enhancements to the investment technology estate are resilient, scalable, and fit for purpose. This is an excellent opportunity for a technical professional looking to specialise in investment management technology, combining software engineering, data engineering, and applied investment systems knowledge. What you'll be doing: Delivering features end to end, including development, testing, release, and maintenance. Implementing high quality engineering practices including code versioning, peer reviews, optimisation, and adherence to development standards. Monitoring and managing automated job execution across internal and third party systems, escalating and resolving issues where needed. Maintaining highly reliable platform environments, ensuring data stores, APIs, and analytics tools remain available and accurate. Executing and configuring scripted or scheduled processes supporting investment teams. Performing data extraction, manipulation, and analysis using Python and SQL to support application logic and operational workflows. Investigating data anomalies and ensure the accuracy and integrity of investment datasets (security, positions, prices etc). Reconciling systems to ensure consistent data across the platform ecosystem. Acting as an Investment Tech SME when working with Data, Technology, and Vendor Management teams on platform enhancements. Supporting colleagues across Investment functions to self serve analysis and reporting via platform applications. Contributing to Data Stewardship activities by representing investment data requirements and ensuring upstream changes remain robust. Identifying opportunities to enhance platform workflows, engineering processes, automation, and overall system reliability. Promoting best practices for EUDA (End User Developed Application) governance and coding standards within Investment teams About you: We're looking for a curious and hands on engineer with strong Python and SQL skills, a passion for building reliable applications, and the ability to bridge technology and investment teams. You'll be a proactive problem solver who enjoys improving systems, automating processes, and delivering real business value. Experienced in building & maintaining applications to support internal business processes and workflows. Highly capable in data pipelining using tools like Airflow & DBT, and data extraction, manipulation and reporting using Python & SQL. Experience with code versioning, optimisation and associated best practices, including Git, pull requests, unit testing, CI/CD and familiarity with enterprise SDLC Data analysis to investigate and quality control datasets feeding applications. Ideally within an asset management context Practical experience building, deploying, or running data/software solutions on cloud infrastructure (AWS/Azure) Experience in using and supporting investment technology platforms such as Bloomberg, Factset, Aladdin, Axioma, Knowledge of typical financial/asset management data domains (positions, security, prices) and common asset classes Special Requirements: Some business travel may be necessary What's in it for you? We reward youfor the work you do, whether that's through our discretionary annual bonus scheme that reflects bothpersonal and company performance, competitive annual leave allowance (28 daysplus bank holidays, with the option to purchase an additional 5 days), oronline rewards platform with a variety of discounts. We also havebenefits to support whatever stage of life you are in, including: Competitive parental leave (26 weeks full pay) Private medical insurance (optional taxable benefit) 10% non-contributory pension (increasing with length of service) Reasonable Adjustments We're an equalopportunities employer and want to ensure our recruitment process is accessibleand inclusive for all, if you require reasonable adjustment(s) at any stageplease let us know by emailing us at Research tells usthat applicants (especially those from underrepresented groups) can be put offfrom applying for a role if they do not meet all the criteria or have been onan extended career-break. If you think you would be a good match for this role andcan demonstrate some transferable experience please apply, regardless ofwhether you tick every box.

Roke, Roke Manor, Romsey, Hampshire, United Kingdom Job Description Posted Wednesday 14 January 2026 at 01:00 Great ideas come from different minds. That's why we bring together engineers, scientists, analysts, and creatives from every background - and give them the trust, tools, and freedom to make a difference. What connects us is the mission: solving meaningful problems and building capability that protects what matters most. And as the challenges evolve, so do we - working on the technologies that will shape tomorrow, not just today. At Roke Roke imagines a more secure world where technology protects, where engineers, consultants and business staff collaborate to protect what matters most to our clients. Roke is a leader in the development of cutting edge technology solutions for the defence industry with clients spanning National Security, Defence and Intelligence areas. We work alongside our customers to solve their complex and unique challenges. Roke's Defence Business Unit provides technology innovation and consultancy to a variety of military users, applying our skills in Cyber & Networks, Agile Software, Consulting & Systems Engineering, Sensors & Communications, AI & Machine Learning, Information Assurance & Human Science and Data Science. The Job Opportunity Roke is seeking Systems Engineers to provide technical leadership in the design and delivery of innovative and effective solutions, in the domains of position, Navigation and Timing (PNT), RF communication and sensors. You will take ownership of the system designs of cutting edge electronics for defence and Electronic Warfare (EW) system solutions. Specific technology domains in which you will take the lead as SDA will likely include electronic surveillance (ES) systems, electronic attack (EA) systems. . The role requires individuals who can work closely with our defence clients and users, applying their technical knowledge and domain experience, whilst communicating effectively with a wide range of internal and external stakeholders. Individuals must be able to work effectively in a highly technically challenging but rewarding environment, able to quickly assess trade offs and lead on technical decision making. Job Purpose & Key Responsibilities As a System Engineer your responsibilities will include: Gaining understanding of existing Roke EW system products and future development agendas Acting as a System Design Authority on specific projects across the full engineering lifecycle from initial R&D concept to product and support. Providing leadership and systems engineering expertise to technical teams in the delivery of science and technology based research, solution and product development, equipment trials, and business development including competitive bids. Strengthening customer relationships and developing business opportunities by providing expert technical assistance in the shaping of solutions and their delivery programmes. Providing technical assurance expertise across a broad range of internal projects, and on behalf of clients when required. Liaising regularly with project management teams and Customers for progress reviews, ensuring technical delivery to time, cost and performance/quality whilst managing technical risks. Working dynamically on Customer sites, from the office, in shared workspaces or from home as required, with occasional overseas travel where necessary. Rapid prototyping for UOR requirements Essential skills will include BEng/BSc and/or master's degree in an appropriate engineering, computer science, information systems or related subject. Knowledge of Sensor and Communication systems. Systems Engineering and technical leadership cross functional teams from R&D concept through to the full product development lifecycle Ideally you will have experience in some of the following: EW familiarity across EA, ES, ECM, ESM, RF cyber, middleware and radio bearers. Familiarity with relevant open standards, such as STICS, MORA, OpenCPI, SOSA, OpenVPX A systems understanding of hardware, firmware and software including digital signal processing systems/DSPs/FPGAs, software defined radios, RF systems and antennas. Waterfall, Agile, SAFe and Spiral development processes. Identification and analysis of key risks, issues and problems and their associated mitigations and impact and their management through technical RAIDOs. Why You Should Join Us We have a competitive salary and access to a number of additional flexible benefits, which will cover Health and Wellbeing, Savings and Protection and Life, Leisure and Entertainment. Roke has a great community of groups with shared interests. These enable people to share ideas and be passionate about tools, technologies and techniques, which interest them. We are committed to a policy of Equal Opportunity, Diversity and Inclusion. Our working environment is friendly, creative and inclusive. We will consider flexible working arrangements and support a diverse work force and those with additional needs. Security Information Due to the nature of this position, we require you to be willing and eligible to achieve a minimum of SC clearance. To qualify, the candidate should be a British Citizen and have resided in the UK for the last 5 years for SC. For more information about clearance eligibility, please see The Next Step Roke, Roke Manor, Romsey, Hampshire, United Kingdom

Job Description Purpose of the role To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues. Accountabilities Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance. Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives. Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing. Stay informed of industry technology trends and innovations and actively contribute to the organization's technology communities to foster a culture of technical excellence and growth. Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions. Implementation of effective unit testing practices to ensure proper code design, readability, and reliability. Vice President Expectations To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures If managing a team, they define jobs and responsibilities, planning for the department's future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic E - Energise and inspire A - Align across the enterprise D - Develop others OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment. Manage and mitigate risks through assessment, in support of the control and governance agenda. Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does. Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies. Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions. Adopt and include the outcomes of extensive research in problem solving processes. Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship - our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset - to Empower, Challenge and Drive - the operating manual for how we behave. Join our HR Technology team as a Senior ServiceNow Developer and play a key role in transforming the colleague experience across Barclays. In this role, you'll design and deliver high impact ServiceNow HR Service Delivery solutions, working closely with HR and Technology stakeholders to shape architecture, drive agile delivery, and integrate with platforms such as Workday and the Microsoft ecosystem. Combining hands on development with technical leadership, you'll help set standards, improve performance and security, and deliver innovative solutions at scale, making this an exciting opportunity for someone passionate about modern HR platforms and meaningful enterprise transformation. To be successful as a Senior ServiceNow Developer, you should have experience with: Architecting and implementing ServiceNow platform and HR Service Delivery solutions at enterprise scale. Implementing NowAssist for Generative and Agentic AI use cases. Supporting infrastructure such as Workday, Entra, Microsoft Graph, Microsoft 365 (Teams, Copilot) at a working knowledge level. Some other highly valued skills may include: Experience designing conversational interfaces with Copilot. Experience working with zero copy data architectures. Experience designing and implementing end to end use cases with Workday. You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills. This role will be based in either our Glasgow or Northampton office Our Work Experience is the combination of everything that's unique about us: our culture, our core values, our company meetings, our commitment to sustainability, our recognition programs, but most importantly, it's our people. Our employees are self-disciplined, hard working, curious, trustworthy, humble, and truthful. They make choices according to what is best for the team, they live for opportunities to collaborate and make a difference, and they make us the Top Workplace in the area.

Overview At Zebra, we are a community of innovators who come together to create new ways of working. United by curiosity and a culture of caring, we develop smart solutions that anticipate our customer's and partner's needs and solve their challenges. Being part of Zebra Nation means you are seen, heard, valued, and respected. Drawing from our unique perspectives, we collaborate to deliver on our purpose. Here you are part of a team pushing boundaries today to redefine the work of tomorrow for organizations, their employees, and those they serve. You'll have opportunities to learn and lead in a forward-thinking environment, defining your path to a fulfilling career while channeling your skills toward causes you care about-locally and globally. Come make an impact every day at Zebra. What We're Looking For We are seeking a Senior UX/Product Designer to craft next-generation ditigtal experience that combine human-centered design with intelligent, Ai-drive capabilities. As part of our experience design team, you'll lead product initiatives from research and ideation through launch, leveraging advanced design systems, predictive user ingiths, and modern prototyping tools to deliver exceptional user outcomes at scale. The role blends deep design craft with forward-looking thinking about how AI transforms interaction, workflow, and personalization in large-scale software environments. Responsibilities Lead end-to-end product design initiatives - from discovery, ideation and prototyping to validation and delivery. Define design strategies ath integrate AI capabilities such as adaptive interfaces, personalization and predictive UX Flows. Work closely with Product Management, Engineering, and Hardware teams to define and implement end-to-end user experiences. Use modern design tools and frameworks to create robust prototypes and validate design decisions. Conduct research using emerging frameworks that blend qualitative methods (interviews, participatory design) with quantitative analysis. Collaborate on evolving multi-modal design systems-voice, touch, gesture, and ambient feedback-ensuring continuity across physical and digital touchpoints. Advocate for accessibility, privacy, and human impact in all connected experiences. Support a culture of design excellence through mentorship, critique, and cross-team collaboration. Qualifications 8+ years of experience designing systems and interfaces for products in IoT, consumer hardware, or connected services. Strong portfolio demonstrating product design for multi-device ecosystems (mobile, web, wearables, home or screenless). Fluent in Figma, FigJam, Framer, and design operations tools for collaboration and system management. Familiarity with LLM-assisted design ideation and user testing workflows. Experience integrating data from usage telemetry and user feedback into the design process. Comfortable working in agile, cross-functional environments where hardware and software innovation intersect. Skilled at crafting consistent, context-aware interfaces that adapt across platforms. Preferred Experience in AI-augmented product ecosystems or intelligent assistant design. Background in HCI, cognitive computing, or industrial design. Previous experience in global-scale tech, or high-growth SaaS enterprise or consumer electronics companies. Incentive Compensation In addition to base pay, Zebra offers this role the opportunity to earn a performance-based annual cash incentive, at a target equal to 10% of base pay, in accordance with the terms of the applicable incentive plan. Job Posting Statement To protect candidates from falling victim to online fraudulent activity involving fake job postings and employment offers, please be aware our recruiters will always connect with you email accounts. Applications are only accepted through our applicant tracking system and only accept personal identifying information through that system. Our Talent Acquisition team will not ask for you to provide personal identifying information via e-mail or outside of the system. If you are a victim of identity theft contact your local police department. AI Technology Statement Zebra Technologies leverages AI technology to evaluate job applications using objective, job-relevant criteria. This approach enhances efficiency and promotes fairness in the hiring process. However, every decision regarding interviews and hiring is made by our dedicated team, because we believe people make the best decisions about people. For more on how we use technology in hiring and how we process applicant data, see our Zebra Privacy Policy.

What You'll Do Lead the design, architecture, and development of native Windows desktop applications using Windows App SDK, WinUI (or related UI frameworks), C#, XAML, and - when needed - C++. Define and enforce best practices for Windows desktop development across the codebase: code architecture, performance, memory usage, responsive UI, cross version compatibility (Windows 10/11+), and maintainability. Drive accessibility efforts: integrate and validate support for accessibility APIs (e.g. Microsoft UI Automation or other relevant Windows accessibility frameworks), ensure UI controls, focus management, keyboard navigation, screen reader support, and usability for users with disabilities. Collaborate closely with product designers, UX researchers, QA, and other stakeholders to shape feature planning, UI/UX architecture, and long term roadmap for the Windows platform. Take ownership of full lifecycle of features: conception design implementation testing release maintenance. Ensure quality, reliability, and consistency across releases. Identify, diagnose, and resolve complex bugs, performance bottlenecks, memory leaks, rendering issues, or compatibility problems - and propose robust architectural or design solutions. An ideal candidate should have Required: 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML - and ideally additional experience with native Windows code (C++, Win32/WinRT/COM). Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code. Proven track record of designing, building, and shipping production quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability. Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software. Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi threading or asynchronous programming (where relevant). Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture level decisions. Strong communication skills; ability to articulate tradeoffs, collaborate with cross functional teams, and drive consensus. A user centric mindset: focus on building polished, intuitive, and accessible experiences for end users. Preferred / Bonus: Experience with writing automated tests for UI - unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks. Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high DPI support, responsiveness under load). Experience with localization/globalization, right to left UI support, internationalization, accessibility for multiple regions. Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications. Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications. Demonstrated ability to take ownership of feature areas or modules and drive them long term, including maintenance, refactoring, and technical debt management. What we offer A high impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience. A collaborative, flat structure engineering culture - you are not just a coder, but a builder and a decision maker. Opportunities to lead - mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect). Flexibility, autonomy, and responsibility: you define how to solve problems, own features end to end, and contribute to long term product vision. A purpose driven mission: building software that's reliable, accessible, and user centered - making a real difference for people. EEO Statement Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading - PDFs, books, Google Docs, news articles, websites - into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting - Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies What You'll Do Lead the design, architecture, and development of native Windows desktop applications using Windows App SDK, WinUI (or related UI frameworks), C#, XAML, and - when needed - C++. Define and enforce best-practices for Windows desktop development across the codebase: code architecture, performance, memory usage, responsive UI, cross-version compatibility (Windows 10/11+), and maintainability. Drive accessibility efforts: integrate and validate support for accessibility APIs (e.g. Microsoft UI Automation or other relevant Windows accessibility frameworks), ensure UI controls, focus management, keyboard navigation, screen-reader support, and usability for users with disabilities. Collaborate closely with product designers, UX researchers, QA, and other stakeholders to shape feature planning, UI/UX architecture, and long term roadmap for the Windows platform. Take ownership of full lifecycle of features: conception design implementation testing release maintenance. Ensure quality, reliability, and consistency across releases. Identify, diagnose, and resolve complex bugs, performance bottlenecks, memory leaks, rendering issues, or compatibility problems - and propose robust architectural or design solutions. An ideal candidate should have Required 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML - and ideally additional experience with native Windows code (C++, Win32/WinRT/COM). Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code. Proven track record of designing, building, and shipping production quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability. Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software. Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi threading or asynchronous programming (where relevant). Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture level decisions. Strong communication skills; ability to articulate tradeoffs, collaborate with cross functional teams, and drive consensus. A user centric mindset: focus on building polished, intuitive, and accessible experiences for end users. Preferred / Bonus Experience with writing automated tests for UI - unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks. Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high DPI support, responsiveness under load). Experience with localization/globalization, right to left UI support, internationalization, accessibility for multiple regions. Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications. Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications. Demonstrated ability to take ownership of feature areas or modules and drive them long term, including maintenance, refactoring, and technical debt management. What we offer A high impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience. A collaborative, flat structure engineering culture - you are not just a coder, but a builder and a decision maker. Opportunities to lead - mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect). Flexibility, autonomy, and responsibility: you define how to solve problems, own features end to end, and contribute to long term product vision. A purpose driven mission: building software that's reliable, accessible, and user centered - making a real difference for people. Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

About Us Proofpoint is a global leader in human- and agent-centric cybersecurity. We protect how people, data, and AI agents connect across email, cloud, and collaboration tools. Over 80 of the Fortune 100, 10,000 large enterprises, and millions of smaller organizations trust Proofpoint to stop threats, prevent data loss, and build resilience across their people and AI workflows. Our mission is simple: safeguard the digital world and empower people to work securely and confidently. Join us in our pursuit to defend data and protect people. How We Work At Proofpoint you'll be part of a global team that breaks barriers to redefine cybersecurity guided by our BRAVE core values: Bold in how we dream and innovate Responsive to feedback, challenges and opportunities Accountable for results and best in class outcomes Visionary in future focused problem-solving Exceptional in execution and impact The Role As a member of the Global Critical Situation Management Organization, the Sr. Critical Situation Manager is assigned to help manage the most urgent customer problems involving Proofpoint products and services. This person serves as the communication focal point for the customer and oversees all resolution efforts from the initial problem identification to post-mortem analysis. The Sr. Critical Situation Manager also acts as a customer advocate to help drive improvements in all aspects of business, including Customer Service, Professional Services, Product and Engineering. Your day-to-day Lead high-severity customer incidents (major system outages) and/or executive escalations Leverage the internal, cross-functional community to drive critical situations to resolution Provide customer facing updates and internal reporting Lead cross-departmental process improvement to maximize customer retention Drive process improvement as part of the overall Services group Provide post-escalation analysis reporting that will capture and help drive process improvements throughout the organization Coordinate and research incident root cause and generate customer facing root cause analysis documents Evaluate customer requests for service level agreement violations Participate in on-call support 24x7 rotation as assigned Your day to day Proficient in using AI tools to help analyse escalated situations and create internal and customer-facing reporting Extensive experience in customer-facing technology roles with escalation management background Solid understanding of Database and SaaS applications Basic familiarity with Linux command line environments An accomplished communicator and influencer, able to thrive in high pressure situations working with customers, users, senior level management, sales and peers Comfortable interacting with executives (customer and internal) Proven success coordinating solutions across multiple cross-functional teams Working knowledge of Salesforce service cloud-based systems Strong business and management acumen Possess the ability to resolve issues and conflicts, as well as be able to take ownership in challenging situations Ability to maintain a calm and professional demeanour in the face of high-pressure, intense escalations Knowledge of email privacy/protection, cloud services, software as a service (SaaS) is preferred Project Management experience, PMP certification is a plus Language fluency in written and spoken English Bachelor's Degree or equivalent Why Proofpoint? At Proofpoint, we believe that an exceptional career experience includes a comprehensive compensation and benefits package. Here are just a few reasons you'll love working with us: Competitive compensation Comprehensive benefits Career success on your terms Flexible work environment Annual wellness and community outreach days Always on recognition for your contributions Global collaboration and networking opportunities Our Culture Our culture is rooted in values that inspire belonging, empower purpose and drive success-every day, for everyone. We encourage applications from individuals of all backgrounds, experiences, and perspectives. If you need accommodation during the application or interview process, please reach out to .

London, UK Join the team shaping the future of AI at Scale. As a Software Engineer on the AI Infrastructure team, you'll help build and evolve our agent sandboxing platform - the secure, high-performance code execution layer powering our agentic workflows, deployed across both internal and customer-managed environments. This is a role for someone who cares as much about the experience of the engineers and researchers using this system as they do about the kernel internals underneath it. You'll combine deep systems expertise (isolation, virtualisation, performance) with an obsession for developer experience: clean APIs, clear error messages, good docs, and a client library that feels well-crafted. You'll partner closely with internal teams to understand how they use the platform, debug their issues, and shape a roadmap that balances immediate needs with long-term architecture. You will: Design and build the sandboxing platform, client library, and API surface for secure code execution across containerized and virtualized environments Ensure strong isolation, security, and reproducibility of execution across user sessions and workloads Optimise for cold-start latency, memory footprint, and resource utilisation at scale Drive down error rates through systematic debugging, monitoring, and proactive fixes Partner closely with internal teams using the platform to understand their needs, debug issues, and build tooling that serves their use cases Respond to incidents and production issues with urgency, conducting root cause analysis and implementing preventive fixes Help develop and maintain a product roadmap for sandboxing, balancing immediate needs against long-term architectural investment Lead architecture reviews and own projects end-to-end, from design through deployment, in fast-paced cross-functional settings Ideally you'd have: 4+ years of experience building high-performance systems software, with meaningful time spent maintaining libraries, SDKs, or developer-facing APIs Deep understanding of Linux internals: process isolation, memory management, cgroups, namespaces, etc. Experience with containerisation and virtualisation technologies (e.g., Docker, Firecracker, gVisor, QEMU, Kata Containers) Proficiency in a systems programming language such as Go, Rust, or C/C++ A track record of obsessing over developer experience - API design, error propagation, documentation, and the small details that make a library feel well-crafted Comfort working across infrastructure layers, from kernel modules to orchestration frameworks (e.g., Kubernetes) Strong debugging skills and the ability to navigate performance/security tradeoffs in production systems Comfort with ambiguity, and the ability to context-switch between reactive incident work and proactive product development Nice to haves: Experience as a founder or early engineer at an infrastructure-focused startup, owning a product end-to-end Familiarity with LLM agents and agent frameworks (e.g., OpenHands, Agent2Agent, MCP) Experience running secure workloads in multi-tenant or untrusted environments (e.g., FaaS, CI sandboxes, remote notebooks) Exposure to snapshotting and restore techniques (e.g., CRIU, VM snapshots, overlays) Open-source contributions to systems or developer-tools projects History of on-call/incident response for production systems PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, and provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century's most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril's family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. We're seeking a product security engineer to develop novel security tooling, discover vulnerabilities, and ultimately secure our suite of advanced technologies including artificial intelligence systems, command and control platforms, aerospace vehicles, and long range sensors. The ideal candidate has a background in electrical or software engineering, with a focus on platform security, or has pivoted to a product or application security role. They will be able to conduct complex security architecture reviews, research and mitigate exploits against hardware and software, and work with other engineering teams to build resiliency into our products. Responsibilities: Owns the development and maturation of security features for Anduril's products Authors and maintains security documentation including System Security Plans, Threat Analysis and Risk Assessments, and compliance evidence Collaborates and builds solutions with engineering teams to meet and exceed industry-standard security goals Collaborates with manufacturing and operations teams to develop secure handling and operational processes Engages with teams to remediate uncovered weakness in designs, implementations, integrations, and processes Integrates and matures Product Securitys suite of tooling thought Anduril's products. Conducts security assessments including architecture review, source code analysis, configuration auditing, and adversarial testing Requirements: Proficient with one or more programming languages (e.g. C/C++, Golang, Rust, Python) Experience assessing security of firmware, applications, network, IoT, or embedded systems Experience developing features for and improving security of firmware, applications, network, or embedded systems Experience building, testing, and delivering production-ready systems, especially for embedded and/or Linux systems Experience with structured threat modelling and risk assessment methodologies Experience in building and security autonomous systems and their unique threat model Experience in any previous military or defence domain; land, air, sea desirable but not mandatory Familiarity with anti-tamper and reverse engineering hardware and software mechanisms Strong and professional communication skills (written and verbal) Must be eligible to obtain and maintain a UK Security Clearance to a minimum of SC level Must be a UK citizen Preferred Qualifications: Excels at the above listed Requirements Experience with UK Ministry of Defence Cyber Security Model, including UK Government Security Classifications DefStans (05-138 at a minimum) Cyber Secure by Design (including JSP 440's Cyber Secure by Design guidance and/or JSPs 453 and 604) Defence Information Protection Notices (DIPNs) Industry Security Notices (ISNs) Familiarity with aviation cyber security standards such as DO-326A/ED-202A Experience with SORA or CAA Type Certification cyber requirements Experience engaging with certification bodies like the CAA or MAA/DE&S Familiarity with RF Emanation Protection (including TEMPEST) Experience of Network Security Devices (including Inter-Domain Gateways and Cross Domain Solutions) Familiarity with security architectures of embedded, aerospace, or cyber-physical systems Experience with programmable logic devices and their development tools Regularly builds, tests, and delivers production-ready systems, especially for embedded and/or Linux systems Ideally a sole UK National (i.e. hold no other citizenships) Anduril is an equal-opportunity employer, and we encourage candidates from all backgrounds to apply. If you are someone passionate to work on problems that matter, we'd love to hear from you! The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Benefits At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you're supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits. Protecting Yourself from Recruitment Scams Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information. To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind: No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates. Please always verify communications: Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an address. Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to . Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain before providing any personal information or clicking on links. What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to . Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts. Data Privacy To view Anduril's candidate data privacy policy, please visit By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.

Netcraft is the global leader in cybercrime detection and disruption. We're a trusted partner for three of the four largest companies in the world and many large governments. We've blocked over 225 million cyber-attacks to date, and we take down around 33% of the world's phishing attacks. Our purpose and passion are focused on just one thing: protecting the world from cybercrime. That passion shapes how we work, too. We're proud of our talented team and the value each person brings, and we've built a workplace where people feel supported and inspired. From strong benefits and wellness programs to meaningful collaboration and team connection. The Role This role partners closely with Engineering to translate product strategy into actionable plans and successful delivery across multiple teams. It involves deep collaboration with stakeholders to prioritize projects, analyze trade-offs, and maintain a clear, prioritized backlog. Facilitates project kick-offs, ensures engineering documentation aligns with requirements, and monitors telemetry to inform recommendations. With strong organizational awareness, they track progress, identify blockers, and escalate issues as needed, while helping shape product strategy and maintaining trusted relationships across engineering leadership. This role can be based in either our London, Bath or Manchester offices, but you'll have hybrid and flexible working options. Day to Day, This Is What You'll Be Doing Collaborating with stakeholders to collect feedback and gather and prioritise product requirements. Work closely with Engineering to ensure successful roadmap execution while building alignment and support for key initiatives across technical and business stakeholders. Using analytics and user research, measures the success of feature releases and help inform future development decisions. Collaborating with Marketing to create effective go-to-market strategies and materials. Supporting sales efforts through product knowledge and participation in customer discussions. Collaborating with UX/UI teams to help build and deliver an outstanding customer experience. To Be Successful, You'll Need Previous proven experience as a Product Manager in a B2B SaaS setting. Exceptional communication skills; ability to clearly articulate what is being built and why, and engage effectively with all relevant stakeholders. Demonstrable experience of successful decision making and product/feature launches. Experience of designing and implementing a product management process and using that process to develop products/features from ideation to delivery across cross-functional teams. Proven ability to respond to and prioritise changing needs effectively. Demonstrable ability to manage multiple concurrent projects/tasks and deliver on time to a high standard. A strong understanding of software development. Good data analysis skills, gathering meaningful insights from service analytics and stakeholders. Experience working in cybersecurity preferred. Familiarity with Agile/Scrum methodologies. Experience leveraging modern product management platforms and AI-powered tools to enhance productivity, decision-making, and execution. The Reward Package 33 days annual leave - includes public holidays which can be worked if you prefer. Generous enhanced family leave and pay. Enhanced Sick Pay from day 1, rising to 12 weeks full pay after 6 months. Salary sacrifice pension with matched employer contributions up to 5% + NI savings. Private health cover, including access to a private GP service. Life Assurance at 4 x salary. Equity tracking scheme (eligibility criteria apply) - allowing you share in Netcraft's long term success. Hybrid and flexible working options. Meals, snacks, and drinks provided in the office. Comprehensive health, safety, and wellness service available 24/7 for you and your family. Two paid Learning & Development days per year plus access to learning resources such as Udemy and Coursera to support your career. Two Volunteering Days per year, to allow you to contribute to your wider community or charity. Spot reward bonus scheme to reward truly outstanding contributions. Diversity, Equity & Inclusion This is deeply important to us. Through our ally network, we support under-represented groups andmaintaina working environment free from bias, harassment, or discrimination. We encourage candidates from all backgrounds to apply. We're also happy to make adjustments to the hiring process to ensure every candidate can participate fully. Please note: Netcraft does not accept unsolicited approaches from external recruiters. Apply for this job indicates a required field First Name Last Name Preferred First Name Email Phone Country Phone Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf LinkedIn Profile Please click to acknowledge our GDPR notice Select When you apply for a role with Netcraft ("we", "us"), your personal data will be collected and processed by Netcraft, based in the United Kingdom. If you have any questions about how your data is handled, you can contact our Privacy Team at . We process your personal data for recruitment purposes, including assessing your application, arranging interviews, and making hiring decisions. This processing is carried out in accordance with applicable data protection laws, including the UK GDPR, the EU GDPR (where applicable), and other relevant global data protection regulations in jurisdictions where we operate, including the United States and Australia. 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Deloitte is seeking a Senior AI/ML Research Engineer in London to design, develop & deploy scalable AI/ML solutions within the GenAI team of the Data & AI organisation. You will lead end-to-end ML solution development from data exploration to deployment, monitoring, and optimization. The role requires 10+ years in software development and ML engineering, with strong Azure AI and Kubernetes experience, plus a background in data engineering and modern infra tools.

AI Infrastructure Engineer, Serving Platform London, UK Join the team shaping the future of AI at Scale. As a Software Engineer on the ML Infrastructure team, you will design and build platforms for scalable, reliable, and efficient serving of LLMs. Our platform powers cutting-edge research and production systems, supporting both internal and external use cases across various environments. The ideal candidate combines strong ML fundamentals with deep expertise in backend system design. You'll work in a highly collaborative environment, bridging research and engineering to deliver seamless experiences to our customers and accelerate innovation across the company. You will: Build and maintain fault-tolerant, high-performance systems for serving LLMs and other models at scale. Build an internal platform to empower LLM capability discovery. Collaborate with researchers and engineers to integrate and optimize models for production and research use cases. Conduct architecture and design reviews to uphold best practices in system design and scalability. Develop monitoring and observability solutions to ensure system health and performance. Lead projects end-to-end, from requirements gathering to implementation, in a cross-functional environment. Ideally you'd have: 4+ years of experience building large-scale, high-performance backend systems. Strong programming skills in one or more languages (e.g., Python, Go, Rust, C++). Experience with LLM serving and routing fundamentals (e.g. rate limiting, token streaming, load balancing, budgets, etc.) Experience with LLM capabilities and concepts such as reasoning, tool calling, prompt templates, etc. Experience with containers and orchestration tools (e.g., Docker, Kubernetes). Familiarity with cloud infrastructure (AWS, GCP) and infrastructure as code (e.g., Terraform). Proven ability to solve complex problems and work independently in fast-moving environments. Nice to haves: Experience with modern LLM serving frameworks such as vLLM, SGLang, TensorRT-LLM, or text-generation-inference. PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Location: London Role Overview A collaborative and entrepreneurial systematic investment team is seeking an experienced Quantitative Trading Systems Engineer to join its Systematic Macro trading team. This role focuses on building the C++ trading systems that underpin live systematic trading across global markets. Working closely with the Senior Portfolio Manager, you will build and maintain the pod's low-latency trading infrastructure across Futures, FX, and Fixed Income. The successful candidate will join the systematic macro pod to build the real-time, performance-critical C++ infrastructure that runs the team's trading - from the production alpha infrastructure through to execution. The role also focuses on production integration, deployment, monitoring, and live trading support, and on liaising with central technology teams to leverage the firm's existing data and execution services. Principal Responsibilities Build the team's C++ latency-sensitive trading systems from market data ingestion to order execution Productionise performance-critical signal computation within the trading systems Build the supporting research infrastructure, including replay and data management Support execution-related workflows across systematic strategies in Futures, FX, and Fixed Income Specify the team's performance and infrastructure requirements to central technology teams and work with them to deliver Partner with broader technology teams to make effective use of the firm's shared platforms and services - execution, risk, portfolio management, data, and monitoring Implement and maintain team-level trading controls and support live production processes, while ensuring appropriate integration with the firm's broader trading control framework Preferred Technical Skills & Experience 5+ years building production systems in an electronic trading environment in futures, FX, and/or fixed income products Strong C++ in a performance-critical, low-latency context (primary language for this role) Experience building production trading systems and market-data/order-entry components Deep understanding of concurrent, real-time systems design Strong software engineering fundamentals, including testing, version control, and code quality Strong Linux development experience Familiarity with monitoring, controls, and production support in a front-office setting is advantageous Experience working with shared internal services, APIs, or established platform infrastructure is highly valuable Highly Valued Experience Experience in low-latency execution or algorithmic trading systems development Understanding of systematic trading strategies and front-office trading workflows Experience supporting live trading processes, production controls, and operational robustness in systematic trading Experience working within a larger institutional technology environment and integrating with shared internal platforms Qualifications Bachelor's degree required; Master's or PhD preferred in Computer Science, Engineering, Physics, Mathematics, Statistics, or a related quantitative discipline Excellent problem-solving ability and attention to detail Strong ownership and ability to work independently Clear communicator with a collaborative approach Comfortable operating in a fast-paced, production-facing environment Calm and effective when responding to issues during trading hours Target Start Date: As soon as possible

About the company - the company's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role the company's Safeguards organization builds the systems that keep Claude safe to use at scale. The Account Compromise team owns one specific slice of that work: protecting the people and organizations who use Claude from losing control of their accounts, and preventing compromised accounts and credentials from being used to abuse our platform. Account takeover, credential stuffing, phishing-driven session theft, leaked API keys, and resold access all cause real harm - to the customers whose accounts are hijacked, and to the wider ecosystem when stolen access is used to route abusive traffic through legitimate accounts. We are looking for a staff+ engineer to set the technical direction for this work. You will own the architecture of how we detect, contain, and remediate account compromise across Claude and the Claude Developer Platform, making the design decisions that other engineers and teams build on top of. You will move between deep technical work and adversarial problem-solving: threat modelling how attackers will adapt, scoping multi-month projects from ambiguous starting points, and leading complex live investigations when they escalate. This is a hard problem space. Attackers iterate quickly, the signals separating a compromised account from an unusual but legitimate one are subtle, and every defence carries a cost to real users if it fires incorrectly. You will be building the playbook, and the judgement calls about where to draw those lines will largely be yours to make and defend. You will operate with high autonomy - owning detection coverage and incident leadership, driving alignment with Security, Product, and Policy teams, and shaping how the company approaches this problem globally rather than executing against someone else's roadmap. Key responsibilities Set the technical direction and own the architecture for account compromise detection, response, and remediation across Claude and the Claude Developer Platform Independently scope and lead complex, multi-month engineering projects from an ambiguous starting point through to production systems that operate reliably under adversarial pressure Build and evolve detection systems that identify account takeover, credential abuse, and compromised API keys in near real time Design automated response flows that cut off attacker access while minimising disruption to legitimate users Lead investigations into significant compromise incidents end to end, then convert what you learn into durable, automated defences Threat model how attackers are likely to adapt, and prioritise the team's work against that view rather than only against incidents already observed Drive cross-organisational alignment on account security direction with Security, Product, Support, Policy and other partners. Define how the team measures success and hold the work to those measures Set technical standards for the domain and raise the bar for other engineers through code review, design review, and mentorship Surface patterns from compromise cases to research and product teams so that protections improve upstream Minimum qualifications 10 + years experience designing, building, and operating detection, anti-fraud, anti-abuse, or security systems in production A track record of independently scoping and delivering complex, ambiguous, multi-month technical projects Experience making architectural decisions in an adversarial domain that other engineers and teams then build on Proficiency in Python and SQL, with strong software engineering fundamentals and hands-on coding ability Experience leading investigations into account-based abuse or security incidents, and translating findings into automated detection Ability to reason rigorously about large behavioural or telemetry datasets, and to distinguish attacker behaviour from unusual but legitimate use Strong written communication and a track record of driving alignment across multiple teams and stakeholders Sound judgement about the tradeoff between stopping bad actors and disrupting legitimate users, and the ability to explain and defend where you have drawn that line Preferred qualifications Significant engineering experience in trust and safety, platform integrity, fraud, or detection and response, including time as a technical lead or mentor Deep familiarity with account attack techniques Experience with authentication and identity systems, including OAuth, single sign-on, multi-factor authentication, device binding, and risk-based authentication Experience applying machine learning to fraud or abuse detection, alongside a clear sense of when simpler rules-based approaches are the better choice Experience with cloud data tooling such as BigQuery, Spark, dbt, Airflow or similar Experience building tooling for operational or investigative teams, and partnering closely with the people who use it Interest in AI safety, and in the specific ways account compromise intersects with model misuse Representative projects - Design the architecture for real-time login risk scoring, and get agreement across Security, Product, and Safeguards on where step-up authentication should and should not fire Design detection for compromised API keys, together with security controls to limit exposure Rebuild product features to regain access quickly when customers get compromised Write the threat model that sets the team's roadmap for the next year, and bring the rest of the organisation along with it Instrument a false positive review loop that measures how often the team's defences affect legitimate users, and drive that number down The annual compensation range for this role is listed below. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £325,000 - £390,000 GBP Logistics Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that the company recruiters only contact you email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of the company. Be cautious of emails from other domains. Legitimate the company recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links-visit the directly for confirmed position openings. How we're different - We're different We believe that the highest-impact AI research will be big science. At the company we work as a single cohesive team on just a few large-scale research efforts. And we value impact - advancing our long-term goals of steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to the company, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute . click apply for full job details

Join a high performing team of applied AI experts to drive innovation and new capabilities in the Commercial & Investment Bank. As an Applied AI / ML Senior Associate Machine Learning Engineer in the Applied AI ML team at JPMorgan Commercial & Investment Bank, you will be at the forefront of combining cutting-edge AI techniques with the company's unique data assets to optimize business decisions and automate processes. You will have the opportunity to advance the state-of-the-art in AI as applied to financial services, leveraging the latest research from fields of Natural Language Processing, Computer Vision, and statistical machine learning. You will be instrumental in building products that automate processes, help experts prioritize their time, and make better decisions. We have a growing portfolio of AI powered products and services and increasing opportunity for re use of foundational components through careful design of libraries and services to be leveraged across the team. This role offers a unique blend of scientific research and software engineering, requiring a deep understanding of both mindsets. Job responsibilities Build robust Data Science capabilities which can be scaled across multiple business use cases Collaborate with software engineering team to design and deploy Machine Learning services that can be integrated with strategic systems Research and analyse data sets using a variety of statistical and machine learning techniques Communicate AI capabilities and results to both technical and non-technical audiences Document approaches taken, techniques used and processes followed to comply with industry regulation Collaborate closely with cloud and SRE teams while taking a leading role in the design and delivery of the production architectures for our solutions. Act as an individual contributor, though there will be optional opportunity for management responsibility dependent on the candidate's experience. Required qualifications, capabilities, and skills Masters or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Statistics Solid understanding of fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures (transformers, CNN, autoencoders etc.) Specialism or well-researched interest in NLP Broad knowledge of MLOps tooling - for versioning, reproducibility, observability etc. Experience monitoring, maintaining, enhancing existing models over an extended time period Extensive experience with pytorch and related data science python libraries (e.g. pandas) Experience of containerising applications or models for deployment (Docker) Experience with one of the major public cloud providers (Azure, AWS, GCP) Ability to communicate technical information and ideas at all levels; convey information clearly and create trust with stakeholders. Preferred qualifications, capabilities, and skills Experience designing/ implementing pipelines using DAGs (e.g. Kubeflow, DVC, Ray) Experience of big data technologies Have constructed batch and streaming microservices exposed as REST/gRPC endpoints Experience with container orchestration tools (e.g. Kubernetes, Helm) Knowledge of open source datasets and benchmarks in NLP Hands on experience in implementing distributed/multi threaded/scalable applications Track record of developing, deploying business critical machine learning models

the company is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities Designing and implementing a high-frequency trading platform for cryptocurrency markets, which includes collecting quotes and trades from and disseminating orders to exchanges around the world Optimizing this platform by using network and systems programming, as well as other advanced techniques to minimize latency Analyzing system throughput and latency performance and building performance-tracking tools Developing systems that provide easy access to historical market data and trading simulations Qualifications A degree in computer science or a related field At least 5-7 years of experience in a software engineering role A strong background in data structures, algorithms, and object-oriented programming in C++ Brilliant problem-solving abilities The ability to manage multiple tasks in a fast-paced environment Strong communication skills Good understanding of Linux operating system and Networking (TCP/IP and UDP) is a plus Knowledge of Python and shell scripts is a plus Familiarity with cryptocurrency markets, exchange APIs (WebSocket/HTTP), and cloud technologies is a significant plus Individuals in this role will have a range of experience and will have the opportunity to cover a broad spectrum of hands on development projects; the right person could range from a mid-level engineer that is looking to start their career at the company, to an experienced professional that is looking to make significant contributions to our global trading platform. Experience in financial and crypto markets is a plus, but not required. Benefits Tower's headquarters are in the historic Equitable Building, right in the heart of NYC's Financial District and our impact is global, with over a dozen offices around the world. At Tower, we believe work should be both challenging and enjoyable. That is why we foster a culture where smart, driven people thrive - without the egos. Our open concept workplace, casual dress code, and well-stocked kitchens reflect the value we place on a friendly, collaborative environment where everyone is respected, and great ideas win. Our benefits include: Generous paid time off policies Savings plans and other financial wellness tools available in each region Hybrid working opportunities Free breakfast, lunch, and snacks daily In office wellness experiences and reimbursement for select wellness expenses (e.g., gym, personal training and more) Company-sponsored sports teams and fitness events (JPM Corporate Challenge, Cycle for Survival, Wall Street Rides FAR and more) Volunteer opportunities and charitable giving Social events, happy hours, treats, and celebrations throughout the year Workshops and continuous learning opportunities At Tower, you'll find a collaborative and welcoming culture, a diverse team and a workplace that values both performance and enjoyment. No unnecessary hierarchy. No ego. Just great people doing great work - together. the company is an equal opportunity employer.

About Distyl AI Distyl is an applied AI technology company partnering with the world's most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations. We research and deploy technologies that power AI-native operations - both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission critical workflows. As a result, Distyl's technologies affect some of the world's largest operations - from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys. Distyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s. The results reflect this approach: a 100% production deployment success rate for our customers and one of the few enterprise AI companies to run a profitable business. What We're Looking For We're opening an office in London, UK and looking for AI Engineersto design and deploy production grade AI systems powered by LLMs. At Distyl, AI Engineers work directly with Fortune 500 companies to transform complex workflows using cutting edge AI. You'll build and ship real world AI applications - from intelligent agents to full stack AI products - and see them operate at scale in mission critical environments. This role is highly hands on. You'll collaborate closely with customers, define system architectures, and build reliable, high impact AI systems from prototype to production. Engineers at Distyl also help shape technical direction across major customer engagements, guiding enterprise teams through AI adoption and deployment. Key Responsibilities Build Production AI Systems: Design, develop, and deploy robust AI applications using LLMs, including prompt engineering, agent workflows, tool use, and full stack AI products Work Directly with Customers: Partner closely with enterprise stakeholders to understand complex problems and translate them into impactful AI solutions Lead System Architecture: Design scalable architectures for production AI systems, balancing performance, reliability, cost, and maintainability Develop Our Internal Platform: Contribute to Distillery, our internal LLM application platform, by building reusable infrastructure, tools, and workflows used across customer deployments Evaluate AI Systems Rigorously: Develop evaluation frameworks that measure model performance across accuracy, latency, cost, reliability, and safety Ship Production-Grade Systems: Ensure systems meet high standards for observability, reliability, security, and maintainability Raise the Engineering Bar: Improve development workflows, evaluation practices, and deployment strategies as our AI platform continues to evolve Who You Are 3+ years of professional software engineering experience Strong proficiency in Python or TypeScript Experience building and deploying LLM powered applications or AI agents in production Experience with modern LLM tooling such as LangChain, LlamaIndex, Guardrails, MCP, or agent frameworks Experience implementing RAG pipelines, tool use, or multi step AI workflows Strong understanding of AI system evaluation, debugging, and observability Experience building reliable production systems with modern DevOps practices Experience deploying AI systems in enterprise environments is a plus Experience working across cloud platforms (AWS, GCP, or Azure) is a plus Experience with agent architectures and long horizon task execution is a plus Familiarity with responsible AI practices, including auditability and governance is a plus What We Offer Competitive salary, meaningful equity, and a comprehensive benefits package Workplace Pension Scheme with employer contributions Private Medical Insurance (PMI) offered Flexible Time Off + Holidays Lunch provided on office days Access to state of the art models, generous usage of modern AI tools, and real world business problems Ownership of high impact projects across top enterprises A mission driven, fast moving culture that prizes curiosity, pragmatism, and excellence

Are you passionate about transforming how developers build, deploy and operate software? The company is looking for a Developer Experience & Platform Engineering Solution Architect to join our growing Cloud & Apps Practice, helping some of the UK's largest public and private sector organisations modernise software delivery through Platform Engineering, Internal Developer Platforms (IDPs), DevOps and Developer Experience (DevEx) best practices. As a senior member of our Cloud & Apps Practice, you'll work at the intersection of technology strategy, architecture and delivery, partnering with customers to design and implement modern engineering platforms that improve developer productivity, accelerate delivery and enhance operational resilience. What you'll do Lead customer engagements focused on Developer Experience, Platform Engineering and enterprise software delivery transformation Design and architect Internal Developer Platforms (IDPs), CI/CD pipelines and cloud-native engineering platforms at scale Facilitate workshops with engineering leaders, product teams and platform stakeholders to define target architectures, operating models and delivery roadmaps Translate complex business and technical challenges into clear, implementable platform and DevEx solutions Provide end-to-end technical leadership across pre-sales and delivery engagements, from discovery through to implementation assurance Support sales teams with opportunity shaping, bid responses, solution design and commercial proposal development Define reusable patterns, reference architectures and engineering standards across the Cloud & Apps Practice Research and experiment with emerging tools, technologies and practices to evolve our Platform Engineering and DevEx offerings Lead and mentor consultants and architects, ensuring high-quality delivery across multiple customer engagements Ensure solution quality through design assurance, technical governance and risk identification across multi-technology environments What you'll bring Platform Engineering and Internal Developer Platforms (IDPs) Developer Experience (DevEx) and DevOps transformation Kubernetes (AKS, EKS, OpenShift) CI/CD tooling including GitLab, GitHub Actions, Jenkins or Harness Infrastructure as Code (Terraform or equivalent) Backstage or similar developer portal technologies Observability, monitoring and developer feedback platforms Secrets management and identity solutions such as HashiCorp Vault Progressive delivery, release orchestration and modern deployment practices You'll be comfortable engaging with senior stakeholders, leading technical teams and translating business challenges into practical, scalable engineering solutions

The Subscriptions mission helps people discover the right Spotify experience for them and supports the entire journey from free to paid. Our teams build products and services that make it easier for listeners around the world to understand the value of Spotify Premium while enabling sustainable growth for the business. The Markets & Subscriptions team oversees the entire user journey on Spotify and ensures we engage with people in innovative ways, every step of the way. Our team grows Spotify's audience by finding future listeners around the world and delivering the right value to them, at the right time. With research, product development, product design, engineering, and marketing all collaborating in one organization, we're able to quickly create meaningful features and services for millions of people around the world, resulting in joyful, long-lasting relationships with Spotify. We are looking for a Senior Backend Engineer to join our cross functional team of data scientists and mobile, web, and backend engineers to build the services that power Spotify's free-to-paid experiences. What You'll Do Collaborate with a cross-functional engineering team to build and evolve Spotify's subscription conversion experiences. Design and develop scalable backend services and APIs using Java, gRPC, and GCP. Partner with teams across the Subscriptions mission to support new products, plans, and global launches. Build resilient backend systems that support millions of users across web and mobile. Work closely with product managers and engineers to deliver technical solutions that solve meaningful customer and business problems. Lead technical initiatives while mentoring teammates and raising engineering quality across the team. Champion engineering best practices, operational excellence, and continuous improvement. Who You Are You thrive in collaborative environments and enjoy solving complex technical problems with others. You have 5+ years of experience building backend systems at scale. You have experience with Java, gRPC, and Google Cloud Platform (GCP). You know how to design APIs and backend services consumed by multiple client platforms. You care about writing maintainable, high-quality, production-ready software. You have experience working with internal stakeholders to build reusable platforms and services. Experience with subscription, conversion, commerce, or merchandising systems is a plus. Where You'll Be This role is based in London, England or Stockholm, Sweden. We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.

At the company's Oscar-winning Technology team, innovation is at the heart of what we do, whether this be developing new techniques, new ideas or creative new ways to tell our clients' stories. Underpinning all of this is a long tradition of research, technology and development - from engineering our bespoke software solutions to gaining early access to bleeding-edge technology and forging vibrant partnerships with leading academic and scientific institutions. the company combines talent and technology to bring life to everything we create. Driven by creativity and inspired by the future, we set out every day to reframe the possible. About the Role This is a new, hands-on role within our team. You'll play a vital part in building the future of our cloud-first and machine learning strategies, writing the core software and automation that drives them. In this role, you will be actively developing high-availability automation workflows and building resilient big data pipelines that scale compute across the business. You will provide cloud and systems support for developers building complex agentic applications, while driving DevOps best practices to ensure our cloud services are built for the future. You'll drive the evolution of our cloud infrastructure by designing and implementing automation solutions that scale across the organisation. Your work will span cloud-native practices, machine learning infrastructure, and intelligent systems that keep our environment secure, resilient, and cost-effective. What you'll do: Build highly available automation workflows and orchestrators that enable distributed builds, cross-platform compute scaling, and deployment of AI agents and data-heavy models Design and implement event-driven automation and self-healing cloud systems that proactively detect, diagnose, and remediate infrastructure anomalies Architect robust cloud security frameworks, identity management, and automated governance baselines across our global footprint Design and optimise big data infrastructure for handling large metadata datasets and media assets, whilst identifying opportunities to reduce infrastructure spend without compromising performance Essential Skills: Experience designing high-availability, multi-environment cloud infrastructure using IaC (ideally Terraform) and container orchestration Proven track record in the design and management of cloud-based data systems, such as Snowflake or BigQuery A strong software background (ideally Python) with a proven track record of architecting scalable services and APIs Ability to build, scale, and secure distributed automation pipelines (like GitLab CI) focusing on performance, caching, and testing frameworks Experience supporting engineering teams, championing DevSecOps best practices, and collaborating with tech leadership Strong communication skills, with the ability to bridge the gap between infrastructure engineering and development team workflows Nice-to-have Skills: Experience designing setups that span cloud providers and local physical servers Knowledge of virtualisation of service applications Advanced monitoring experience using tools such as Datadog, Prometheus, or ELK. A professional-level cloud certification Production experience managing complex Kubernetes clusters and high-scale Docker environments. Experience using advanced data platform features like vector embeddings, clustering, and analytics to enrich large-scale datasets Accessibility Statement Our London studio is fully accessible, with step free entry, accessible toilets on all floors, and quiet spaces available. We are committed to supporting disabled colleagues and providing an inclusive workplace for everyone.