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Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure—delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Join teams that innovate to elevate, drive results, and excel together across every function. NetApp sits on 60% of the world's unstructured data. AI runs on unstructured data, and our customers' data is already with us, so we start most AI conversations from a position nobody else has. We are building the engine that turns that into business, and both halves of it are already here: Solution Architects who design the data infrastructure for training, inference, agent runtimes and AI-ready data lakes, and business development people who build the propositions and target lists that open those conversations. What we want now is to run them as one team, with one plan, going after the AI opportunity in EMEA/LATAM proactively rather than one deal at a time. That is this role. You lead the AI Solution Architects and the AI business development / GTM profiles across EMEA/LATAM, and you are accountable for a commercial result: incremental AI pipeline, a better win rate, and AI bookings growth year over year. Build the value propositions with the teams who have to sell them Own our AI value propositions across the four workloads, built together with your architects and business developers, Area sales, Marketing and the partners we sell with. Each one needs an architecture we can defend, the accounts it applies to, and the competitive position and proof points the field will be asked for. Scale what works Take a proposition that produces opportunities in one country and make it work across the region, run by people who did not build it. Stop the motions that do not convert. Scale through partners as well, particularly where the buying decision follows a validated reference architecture. Be our AI voice in EMEA Be the person the market, the press and our own field look to for NetApp's view on AI data infrastructure: inference economics, agent runtimes and data governance, European sovereignty and regulation, and the competitive stacks. Build the same standing in the people around you. Hire and develop the talent this depends on Hire above the bar we have today across two quite different profiles, set the AI technical bar for the wider SE and SA community, build succession, and choose deliberately where the team spends its time. Make our SEs and Client Executives effective on AI workloads Get several hundred Systems Engineers and Client Executives to the point where they can open, qualify and lead an AI workload conversation on their own accounts. Judge the enablement on the opportunities they create afterwards. Build the relationships where platform decisions get made Hold your own relationships with the CTOs, chief architects and heads of AI and platform who decide where their AI workloads will run, maintained between deals, so we are in the conversation before the architecture is set. Basic qualifications • 12+ years in enterprise technology including strategic and people leadership, with 5+ years managing people. Experience leading both technical (pre-sales, solution architecture) and commercial (business development, GTM) profiles, or a credible case for why you can., • A record of creating pipeline in a new or emerging segment, with the numbers and the plays behind it., • Real fluency in the AI infrastructure stack, deep enough to set a bar rather than repeat one: GPU clusters and reference architectures, training and fine-tuning pipelines, inference serving and its economics, agent runtimes and frameworks, RAG and vector search, data lake architecture, and where the data layer sits in each. You should be able to hold your own with a CTO or Head of AI without an architect in the room., • Commercial and dimensioning judgement: able to test whether a solution is right-sized and defend a design choice, including a smaller one, under pressure., • Able to influence without authority across sales, technical, marketing and partner organisations in a matrixed, multi-country environment., • Executive presence at C-level, including when the outcome is uncertain., • Fluent English and willing to travel across EMEA/LATAM. Preferred qualifications • Relationships in the European AI ecosystem — sovereign AI programmes, neoclouds, AI ISVs, GPU vendors, integrators, AI investors., • Experience building a GTM motion from scratch, and the team that runs it., • Understanding of EU AI and data sovereignty regulation, including public-sector procurement., • Experience with hyperscalers and partner-led sales models., • A storage or data infrastructure background helps but is not required. If you come from storage, show us AI deals you have been in and a current read on the market., • Another European language. You start on the inference proposition with two architects, a business developer and an SE manager, arguing about whether the cost-of-serving case holds up with a customer who already has GPUs. Mid-morning, the head of platform at a large European bank, on their AI roadmap rather than on anything of ours. Before lunch, the architecture review on our largest inferencing deal, where you push back on a design that won't survive the customer's second model. Afternoon is a deal clinic with a dozen SEs and CEs taking the new proposition into their own accounts next week. Then an analyst briefing, and half an hour reworking the proposition because last quarter's three losses all turned on the same objection. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment—you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed—they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now. Submitting an Application To ensure a streamlined and fair hiring process for all candidates, our team only reviews applications submitted through our company website. This practice allows us to track, assess, and respond to applicants efficiently. Emailing our employees, recruiters, or Human Resources personnel directly will not influence your application. AI Disclosure For select roles, some stages of our hiring process may use artificial intelligence tools to help evaluate applications and candidate selection. These tools support—rather than replace—human decision-making.

This fast-growing climate tech company is helping some of the world's biggest businesses measure and reduce their Scope 3 carbon emissions. \n Working with organisations (including Amazon) their platform uses data and technology to help businesses understand emissions across their supply chains and identify where they can make a measurable difference. \n They're a small, ambitious team and are now looking for a bright, technically minded Marketing & Growth Executive to join them. \n The role \n This isn't your typical content or brand marketing role. \n You'll work across a wide range of marketing and growth projects, taking ideas and turning them into action. There'll be lots going on at once, so you'll need to be someone who genuinely enjoys organising a long to-do list, solving problems and getting things finished. \n You'll get involved in: \n\n • Running marketing and growth projects from start to finish\n, • Using analytics and data to understand what's working and spot opportunities\n, • Experimenting with AI tools to make marketing faster and smarter\n, • Using no-code, low-code and AI-powered tools to build and improve things\n, • Researching, testing and implementing new ideas\n, • Keeping multiple projects organised and moving forward\n, • Working closely with the founder and wider team\n\n About you \n You'll probably have around 1-3 years' experience in marketing, growth, digital or a similar role, ideally within a startup or technology business. \n You'll be: \n\n • Highly organised, methodical and detail-oriented\n, • Technically curious and quick to pick up new tools\n, • A regular user of AI and excited by what it can do\n, • Comfortable working with data and analytics\n, • Interested in no-code, automation or vibe coding\n, • A strong project manager who takes ownership and gets things done\n, • An excellent written and verbal communicator\n, • Proactive and comfortable in a fast-moving startup\n\n You don't need to be a developer, data scientist or climate expert. They're looking for someone bright and curious who enjoys figuring things out and making things happen. \n The package \n\n • Unlimited holiday\n, • Flexible working, from a London office 3 days per week\n, • The chance to join a growing climate tech business and work closely with its founder\n, • Plenty of autonomy and scope to experiment with new technology, AI and ways of working\n

New Ventures | Commercial Projects | Technology | Automation | AI | Business Growth Great Ideas Are Easy. Making Them Work Is the Hard Part. Some people are at their best generating ideas. Others are at their best taking an idea, working out what needs to happen and turning it into something real. We’re looking for the second kind. Working directly with an established founder/entrepreneur alongside a small team, you’ll take new commercial ideas and turn them into structured, executable projects with a clear route to market. That could mean launching a new service, entering a new market, implementing new technology or helping establish an entirely new business. You won’t always be handed a perfect brief or finished project plan. You’ll be trusted to figure things out, build the plan, find the right people, solve problems and get things moving. The founder brings the vision. You bring the traction. The Role at a Glance Founder’s Associate – Strategic Projects & Growth Hybrid | 2/3 days per week in London co-work office £50,000 – £80,000 Based on expertise and previous success Full-Time | Permanent Focus: New Ventures | Commercial Growth | Project Delivery | Operations Technology: AI | Automation | CRM | Digital Platforms Environment: Entrepreneurial | Small Team | High Autonomy Reporting to: Founder About Us We’re a fast-growing technology incubator bringing to market new features for our existing online learning platform as well as creating exciting projects for new markets. This business is one of several companies within an established and growing group, alongside the already successful core business. It combines the opportunity to help build and shape something fresh with the backing, experience and infrastructure of a group that has already demonstrated its ability to build successful businesses. With plenty of ambition for what comes next, we’re now exploring new products, services, technologies and commercial opportunities that can build on our success and create new avenues for growth. This is where you come in. From Idea to Commercial Reality Working closely with the founder in a small team, you’ll take promising ideas and turn them into structured, commercially viable projects. From new products and services to new markets, technologies and revenue streams, you’ll work out what needs to happen, build the plan, bring together the right people and resources, and drive each project through to launch. You’ll manage several projects at once, solve problems as they arise and keep momentum high. The goal is simple: turn great ideas into reality and commercial success. About You Your current title could be Strategy & Operations, Business Operations, Strategic Projects, Commercial Projects, New Ventures or Product Developer. The title matters less than what you’ve actually done. We’re looking for evidence that you’ve taken loosely defined ideas or business problems and turned them into something tangible and commercially valuable. What You’ll Be Doing • Turning new business ideas into clear, practical execution plans • Running multiple projects simultaneously from scope through to launch • Researching markets, technologies, suppliers and commercial partners • Assessing new opportunities and helping determine the best route forward • Sourcing and managing suppliers, consultants and specialists • Using technology, AI and automation to create smarter, scalable solutions • Improving processes and ways of working across the business • Managing scope, priorities, risks, costs and commercial outcomes • Solving problems independently and keeping projects moving • Reporting progress clearly to the founder and wider team You’ll bring: You’ll be a highly organised, commercially minded problem-solver with strong project management skills and the confidence to work independently across multiple priorities. You’ll understand customers, revenue and business viability, communicate effectively with stakeholders and be comfortable finding and managing the right external expertise when needed. You’ll also be technologically curious and confident beyond the surface level, with a practical understanding of digital systems, AI and automation. You don’t need to be a developer, but you should feel comfortable with concepts such as CRM integrations, APIs and automation. The Person Behind the CV This role needs someone who is structured without being bureaucratic, commercially curious, highly organised and naturally resourceful. When you encounter something you haven't done before, your instinct is to research it, find the right people, work out a solution and move forward. You don't need to be the entrepreneur in the room. You need to be exceptionally good at making things happen. Why This Opportunity? You'll work directly alongside an entrepreneurial founder, with exposure across new ventures, commercial strategy, technology, operations and product development. Some projects will become new products or services within the existing business. Others could develop into entirely separate ventures - there will be so much exciting variety. It's an opportunity to have genuine autonomy, build things from the ground up and see the commercial impact of your work. Your Background / Previous Roles May Include Strategy & Operations Manager, Business Operations Manager, Product Development, Strategic Projects Manager, Commercial Projects Manager, New Ventures Manager, Founder’s Associate, Chief of Staff, Transformation Manager, Innovation Manager, Programme Manager or Commercial Operations Manager. If you’re at your best when someone gives you an ambitious idea and trusts you to work out how to make it happen, we’d love to hear from you. Apply now. Application notice... We take your privacy seriously. As you might expect you may be contacted by email, text or telephone. Your data is processed by our talent partner RR (Recruitment Revolution) on the basis of their legitimate interests in fulfilling the recruitment process. Please refer to their Data Privacy Policy & Notice on their website for further details

Google Cloud Platform Developer/Architect - Contract Location: London - 5 days on-site Contract: 6 months initially, with potential extension Start Date: Immediate IR35 Status: Inside IR35 Damia Group is a specialist Talent Solution Provider partnering with leading organisations across technology, financial services, defence and other highly regulated industries. We are currently supporting a major organisation with the appointment of an experienced Google Cloud Platform Architect to join a high-performing engineering and cloud platform team. This is an excellent opportunity for an experienced Cloud Architect / Platform Engineer to work on complex, enterprise-scale cloud-native environments, influencing architectural decisions and helping shape cloud engineering standards across multiple teams. The role requires someone who can combine deep hands-on engineering expertise with strong architectural thinking, while being comfortable working with senior technical stakeholders and influencing technology strategy. Key Responsibilities Architect and deliver complex, creative software and cloud solutions, applying strategic thinking to ambiguous technical problems and influencing architectural decisions across teams. Develop secure, high-quality production code and actively review, debug and improve code produced by other engineers. Lead architectural design for cloud-native systems and services, producing comprehensive RFCs, ADRs, architecture diagrams and other technical design documentation. Drive operational excellence by identifying patterns in system failures, operational metrics and data, implementing improvements to reliability, performance and observability. Lead technology and vendor assessments, conducting technical deep dives and evaluating architectural approaches, technical capabilities and emerging technologies. Help develop engineering communities of practice, promoting cloud-native technologies, engineering standards and best practices. Mentor junior and mid-level engineers through code reviews, technical design and knowledge sharing. Contribute to strategic initiatives covering cloud platform standards, CI/CD maturity and Infrastructure-as-Code. Design and operate resilient, highly scalable cloud services in line with enterprise security, compliance and public cloud standards. Required Skills & Experience Formal training or certification in software engineering concepts with 5+ years' professional experience in production software development. Advanced hands-on experience across system design, application development, testing and operational stability at scale. Strong proficiency in modern programming languages, with Go or Python particularly desirable. Advanced Kubernetes platform engineering experience, including designing, developing and operating custom Kubernetes Operators and Custom Resource Definitions (CRDs). Experience with technologies such as Kubebuilder, Operator SDK or equivalent. Strong understanding of Kubernetes internals, API machinery, RBAC, multi-tenancy, observability and production operational practices. Proven experience building cloud-native control planes and automation frameworks on Kubernetes, including reconciliation loops, admission controllers, webhooks and custom controllers. Strong Google Cloud Platform experience, including architecting, building, deploying and operating production cloud-native workloads using core GCP services. Understanding of cloud cost optimisation, security and enterprise architecture principles. Strong experience designing and implementing CI/CD pipelines, infrastructure automation and deployment strategies. Advanced understanding of the Software Development Lifecycle and experience improving engineering practices across teams. Strong knowledge of agile engineering methodologies, CI/CD, application resilience, security and capacity planning. Demonstrable expertise in a technical discipline such as cloud architecture, distributed systems, security, DevOps or platform engineering. Experience working within the financial services sector, including understanding of IT environments, regulatory requirements and operational constraints. Practical experience using AI-assisted developer tools and AI agents, such as GitHub Copilot, Claude Code or equivalent. Excellent communication and stakeholder management skills, with the ability to explain complex technical decisions and trade-offs to both technical and non-technical audiences. Desirable Skills Advanced Infrastructure-as-Code experience, particularly Terraform, CloudFormation or CDK. Strong observability and monitoring experience with technologies such as Prometheus, Grafana, Datadog or CloudWatch. Relevant Google Cloud certifications, such as Developer, Solutions Architect or Security. Experience implementing cloud security practices including secure coding, threat modelling, compliance and incident response. Open-source contributions or a strong track record of technical knowledge sharing. Experience leading multi-team initiatives spanning infrastructure, application and platform engineering.Damia Group Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept our Data Protection Policy which can be found on our website. Please note that no terminology in this advert is intended to discriminate on the grounds of a person's gender, marital status, race, religion, colour, age, disability or sexual orientation. Every candidate will be assessed only in accordance with their merits, qualifications and ability to perform the duties of the job. Should the role require the successful candidate to undergo and be eligible for UK Security Vetting. Clearance sponsorship will be provided where required. Due to the nature of the work, candidates should meet the relevant residency requirements. If applicable, Reserved Post nationality restrictions will be confirmed by the client. Damia is committed to inclusive recruitment and welcomes applicants from all backgrounds. Damia Group is acting as an Employment Business in relation to this vacancy and in accordance to Conduct Regulations 2003

Position: Senior Machine Learning Engineer Department: Growth & Customer Experience Engineering Reporting to: Technology Manager Location: Bristol/London Hybrid Role: 3 days a week from office & 2 days working from home Full Time / Part Time Role: Full time Ready for a Challenge?\n Welcome to Just Eat Takeaway.com, a leading global online food delivery platform where we empower everyday convenience! Whether it’s a Friday-night feast, a post-gym poke bowl, or grabbing some groceries, our tech platform connects tens of millions of customers with hundreds of thousands of restaurant, grocery, and convenience partners worldwide. About This Role\n We’re on the lookout for a Senior Machine Learning Engineer to join our dynamic cross-functional team. Your mission? To enhance our product algorithmic recommendations and drive innovation within Just Eat Takeaway.com. \n In this role, you’ll: \n\n • Lead the evolution of existing machine learning and AI capabilities across our platform.\n, • Write highly scalable and testable code while mentoring fellow engineers.\n, • Collaborate with a variety of teams, both internal and external, as we embrace inner-sourced development.\n\n At Just Eat Takeaway.com, ownership is key. You’ll take responsibility for your work from discovery to production, ensuring the ongoing reliability and stability of our systems. This is your chance to lead, deliver, and care for cutting-edge ML systems that impact millions of customers daily! Your Key Responsibilities\n\n • Collaborate with Data Scientists, Product Managers, and Backend Engineers to bridge the gap between model development and production systems.\n, • Lead the architectural design of end-to-end ML systems, from data ingestion and training pipelines to real-time inference and monitoring infrastructure.\n, • Transform innovative data science prototypes into robust, scalable, and secure production software.\n, • Drive the adoption of MLOps best practices to accelerate the feedback loop for Data Scientists.\n, • Communicate the complexities of ML systems to both technical and non-technical stakeholders.\n, • Build and maintain a strong network across Data and Engineering organizations.\n, • Lead projects, mentor peers, and advocate for engineering excellence within the data science domain.\nWhat Will You Bring to the Team?\n\n, • Proficiency in Python and a solid understanding of software engineering principles applied to Machine Learning.\n, • Experience designing and operating ML systems in production, including familiarity with serving patterns.\n, • Knowledge of orchestration tools and cloud-native ML platforms.\n, • Ability to influence decision-making regarding infrastructure and tooling.\n, • Strong knowledge of Infrastructure as Code and containerization.\n, • Familiarity with data engineering fundamentals to debug and optimize data flows.\n, • A proactive mindset to automate manual processes and improve the developer experience for Data Scientists.\nAt JET, This Is How We Play\n Our teams forge connections internally and collaborate with some of the best-known brands globally, giving us a truly international impact in a dynamic environment. Fun, fast-paced, and supportive, the JET culture is all about movement, growth, and celebrating every aspect of our JETers. Thanks to them, we stay one step ahead of the competition! Inclusion, Diversity & Belonging\n No matter who you are, what you look like, who you love, or where you come from, you can find your place at Just Eat Takeaway.com. We’re committed to fostering an inclusive culture that encourages diversity of thought and experience, ensuring all employees feel they truly belong and can bring their most colorful selves to work every day. What Else Are We Delivering?\n Curious to learn more about our JETers, culture, or company? Explore our career site for stories, blogs, podcasts, and more insights into life at JET. \n Are You Ready to Join the Team? Apply Now! \n #KF-LI1

This job is with Fitch Group, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Fitch Group is currently seeking a Endpoint Engineer based out of our London office. As a leading, global financial information services provider, Fitch Group delivers vital credit and risk insights, robust data, and dynamic tools to champion more efficient, transparent financial markets. With over 100 years of experience and colleagues in over 30 countries, Fitch Group’s culture of credibility, independence, and transparency is embedded throughout its structure, which includes Fitch Ratings, one of the world’s top three credit ratings agencies, and Fitch Solutions, a leading provider of insights, data and analytics. With dual headquarters in London and New York, Fitch Group is owned by Hearst. Fitch's Technology & Data Team is a dynamic department where innovation meets impact. Our team includes the Chief Data Office, Chief Software Office, Chief Technology Office, Emerging Technology, Shared Technology Services, Technology, Risk and the Executive Program Management Office (EPMO). Driven by our investment in cutting-edge technologies like AI and cloud solutions, we’re home to a diverse range of roles and backgrounds united by a shared passion for leveraging modern technology to drive projects that matter to our organization and clients. We are also proud to be recognized by Built In as a Best Place to Work in Technology 3 years in a row. Whether you're an experienced professional or just starting your career, we offer an exciting and supportive environment where you can grow, innovate, and make a difference. Want to learn more about a career in technology and data at Fitch? Visit: _ About the role: The Endpoint Engineer is a key technical contributor within the global infrastructure organization, providing advanced (Tier 2/3) support, endpoint management, and platform engineering across Windows, Microsoft Intune, and related technologies. This role delivers secure, reliable, and frictionless user experiences through modern device management practices, automation, observability, and Zero Trust principles. How You’ll Make an Impact: Endpoint Platform Engineering (Windows CSP / Intune) • Own the migration of legacy Group Policy configurations to modern CSP-based Intune policy, resolving conflicts to protect platform consistency and compliance posture., • Design and maintain consolidated, well-governed CSP policy structures across the fleet. Hardware Fleet & Device Lifecycle • Drive vendor-led firmware and driver lifecycle management — including HP Image Assist and Dell Command Update automations — to improve device stability and end-user experience., • Troubleshoot and remediate audio, video, and conferencing reliability issues., • Perform hardware and performance testing/benchmarking to support fleet standardization decisions. Autopilot & Provisioning Modernization • Modernize Windows Autopilot and provisioning workflows to reduce legacy dependencies and improve consistency., • Resolve drive-mapping dependencies and CSP conflicts affecting the provisioning pipeline., • Complete remaining GPO-to-CSP transitions in support of provisioning consistency. Application & Configuration Management • Package, test, and deploy enterprise applications using MECM/Intune and modern deployment frameworks, ensuring compliance with internal and regulatory requirements., • Collaborate with engineering leadership to design, implement, and operationalize endpoint policies, configurations, and standards in support of global infrastructure initiatives. Developer Tooling & AI Workload Enablement • Configure, package, and support core developer tooling across the fleet (VS Code, Python, Git, CLI utilities), balancing developer flexibility with security and compliance standards., • Define and support endpoint requirements for AI/ML workloads, including GPU driver management, containerization/WSL2, and local model runtime resource sizing., • Partner with engineering and data teams to evaluate, standardize, and roll out AI-assisted developer tools (e.g., Claude Code, Copilot) within governance and device-management guardrails. Operations & Support • Deliver advanced incident and problem resolution with a strong focus on user experience and root-cause elimination., • Execute recurring operational activities, including patching, vulnerability remediation, compliance reporting, and endpoint health monitoring., • Partner closely with the Service Desk to drive continuous improvement, streamline workflows, and reduce recurring issues through automation or policy enhancement., • Participate in an on-call rotation to support critical after-hours incidents or high-priority escalations. Documentation & Cross-Functional Collaboration • Create and maintain technical documentation, runbooks, and cross-team knowledge resources., • Engage in cross-functional project work spanning cloud identity, automation, security hardening, and software lifecycle management., • Act as an owner by proactively driving issues to resolution across business You May be a Good Fit if: 3–5+ years in enterprise endpoint engineering or advanced support, with hands-on experience in: • Windows 11, Azure AD / Entra ID, • Microsoft Intune (Endpoint Manager), MECM, and co-management services, • Active Directory and Directory Services, including Group Policy and RSAT tools, • Intune configuration and compliance policy management, • LAPS and least-privilege / privilege elevation models (e.g., Privilege Management), • Microsoft 365 Apps deployment, configuration, and update servicing, • Networking fundamentals (DNS, DHCP, VPN, Proxy) Strong experience with modern Intune management, including: • Windows Autopilot (user-driven, pre-provisioning, self-deploying), • Zero-touch provisioning and cloud-first imaging strategies, • Intune application management (Win32, MSI, MSIX, store apps, managed apps), • Settings Catalog, Compliance Policies, and Configuration Profiles, • Device Filters, Dynamic Groups, and scalable targeting strategies, • Endpoint Analytics and digital experience monitoring (DEX) Hardware validation and lifecycle management, including: • Hardware and performance testing/benchmarking to support fleet standardization decisions, • Firmware and BIOS update management and deployment (e.g., HP, Dell), • Wi-Fi driver troubleshooting and remediation across the device fleet, • 802.1X / WPA2-Enterprise network authentication troubleshooting (EAP-TLS, RADIUS) Proficiency with Windows PowerShell, including: • Running, creating, and editing PowerShell scripts, • Managing system processes and services via PowerShell, • Understanding basic command syntax and parameters, • Troubleshooting errors using PowerShell, • Experience supporting Zero Trust, conditional access, and identity-based access controls. Developer tooling and AI workload support, including: • Configuring and troubleshooting VS Code, Python, and common CLI/developer environments, • Git-based version control workflows, • Endpoint requirements for AI/ML workloads (GPU drivers, WSL2/containers, local model runtimes, resource sizing), • Applying governance and device-management guardrails to developer and AI tooling without blocking productivity, • Ability to collaborate effectively, communicate clearly, and produce high-quality documentation and runbooks., • Demonstrated ownership mindset, with a focus on eliminating root causes and improving user experience. What Would Make You Stand Out: • PowerShell App Deployment Toolkit (PSADT) — creating/modifying deployment scripts, packaging and deploying applications, customizing user prompts, troubleshooting logs, and managing detection/remediation logic., • Advanced MECM collection design and query creation., • Windows imaging modernization (e.g., Autopilot, zero-touch provisioning, DISM when needed)., • Familiarity with software packaging technologies (EXE, MSI, MSIX, INTUNEWIN)., • Experience with third-party patching platforms (e.g., Patch My PC)., • Strong PowerShell automation expertise and familiarity with Git-based workflows., • Experience with vulnerability management tools and endpoint telemetry/observability platforms., • Experience supporting local AI/LLM developer tooling (e.g., Claude Code, Ollama, LM Studio) and GPU-accelerated workstations., • Microsoft certifications related to Endpoint, Azure, or Security. Why Choose Fitch: • Hybrid Work Environment: 2 to 3 days a week in office required based on your line of business and location, • A Culture of Learning & Mobility: Dedicated trainings, leadership development and mentorship programs designed to ensure that your time at Fitch will be a continuous learning opportunity, • Investing in Your Future: Retirement planning, financial wellness and tuition reimbursement programs that empower you to achieve your short and long-term goals, • Promoting Health & Wellness: Comprehensive healthcare offerings that prioritize a healthy body & mind, • Supportive Parenting Policies: Family-first policies, including a generous global parental leave plan, designed to help you balance career and family life effectively, • Dedication to Giving Back: Paid volunteer days and support for community engagement initiatives At Fitch, AI is embedded in how we work every day—supporting smarter decision-making, streamlining workflows, and enabling new ways to create value for our business and clients. Intelligent solutions are increasingly part of our day-to-day operations, helping teams work more efficiently and think differently as we continue to evolve. We’re looking for colleagues who are comfortable operating in an AI-enabled environment—or who are curious, adaptable, and eager to build their AI literacy over time. We value professionals who embrace technology as part of continuous learning and who are committed to using it thoughtfully to enhance how work gets done. Fitch is committed to providing global securities markets with objective, timely, independent and forward-looking credit opinions. To protect Fitch’s credibility and reputation, our employees must take every precaution to avoid conflicts of interests or any appearance of a conflict of interest. Should you be successful in the recruitment process at Fitch Ratings you will be asked to declare any securities holdings and other potential conflicts prior to commencing employment. If you, or your immediate family, have any holdings that may conflict with your work responsibilities, you may be asked to divest yourself of them before beginning work. Fitch is proud to be an Equal Opportunity and Affirmative Action Employer. We evaluatequalified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law. #LI-HYBRID #LI-KC1

Morela is proud to be supporting a London-based AI analytics business in the search for an Application Developer. AI Applications & Power BI | Holborn, London. Design and build the new web application presentation layer for the platform.

This job is with Elsevier, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Are you excited to shape how AI systems, autonomous agents, and machine-driven workflows access and create value from world-leading scientific content? Do you enjoy turning complex strategic questions into high-impact products that balance customer needs, technology, commercial opportunities, and governance considerations? About our Team ScienceDirect is Elsevier's flagship research discovery platform, home to more than 22 million publications across over 4,000 journals and 50,000 books. Researchers, clinicians, students and institutions around the world rely on it to find and use trusted, peer-reviewed science. We are a data-driven, mission-driven, customer-focused team who are passionate about building solutions that solve our users' problems. We are curious, collaborative, reliable partners who work in an open environment to explore new possibilities to bring more value to the market. About the Role A growing share of the demand for scientific content comes from software rather than people. As a Senior Product Manager, you will help define and deliver the strategy for machine and AI access to ScienceDirect content, identifying valuable use cases and translating them into scalable products and services. You will work across product, technology, legal, and commercial teams to shape how content is accessed, governed, measured, and monetized in an evolving AI ecosystem. Responsibilities Play a key role in developing and maintaining the strategy for machine and AI access to Elsevier's full content, recommending which use cases we should serve and which we should not, and building the evidence and stakeholder alignment behind those recommendations Translate the agreed strategy into a product roadmap and lead its delivery with engineering, from discovery through to launch, selecting the right delivery mechanism (APIs, agent connectors, etc) for each use case Lead customer discovery and controlled pilots to validate machine-to-to machine use cases and value exchange, turning what we learn into requirements and business cases Work with legal, commercial, product and technology colleagues to shape the entitlement model and access tiers for machine use, covering entitlement, identity, metering, versioning and the ability to revoke access Contribute to how machine usage and the value it creates are measured and reported, reflecting full text value for customers Keep a current view of the competitive and substitution landscape across open infrastructure, publisher gateways, aggregators and AI platforms, and bring that insight into product and strategy decisions Requirements Proven digital product management competencies, operating at high standards, especially excelling at assessing difficult trade-offs and setting clear priorities for the product roadmap to deliver maximum value Ability to use data and experiments to drive decision making Experience owning API, data or developer-facing products, and a track record of shipping them successfully with engineering teams Comfortable working with architects and engineers on data formats, content structure and delivery mechanisms, and able to translate between technical and commercial audiences Experience contributing to commercial models such as licensing, entitlement, packaging or pricing is an advantage Familiarity with how AI applications consume content, for example retrieval-augmented generation, agents, or text and data mining, is a plus Superb verbal, written, and interpersonal communication skills and a demonstrated ability to collaborate with others to achieve productive results Proven ability to influence and align stakeholders across functions without direct authority A research or scientific background, or a strong understanding of the needs of scientists, researchers or students, is a plus Work in a Way That Works for You We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance, and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working Pattern Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. About the Business A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world. If performed in NLD Amsterdam (Radarweg), the base pay range is €79,000 - €131,500. This job may be subject to a collective labor agreement in the Netherlands. Please consult with the hiring team for further details. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click _ to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our _ or please contact 1-855-833-5120. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams _. Please read our _. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: _.

ð§‍ The RoleAre you one of those rare people who combines agile product engineering skills with a love of infrastructure as code and slick deployment engineering? Do you enjoy working closely with agile product teams to improve their lives while making state-of-the-art delivery practices an out-of-the-box default?At NewStore, our product engineering teams use XP practices to build and run our industry-leading cloud-native Omni-Channel Point of Sale platform. They follow the “you run what you build” ethos - but that doesn’t mean they’re on their own!The NewStore Platform Engineering & DevEx team enables our product engineering teams to move fast without breaking things. Happy developers are productive developers, so we use a platform-as-product approach to moving much of the undifferentiated heavy lifting into our internal developer platform, thus reducing cognitive load while ensuring consistent application of security and architectural standards. What You'll DoAs part of our team, you’ll work closely with stream-aligned teams following eXtreme Programming practices, including TDD and trunk-based development. With a focus on Developer Experience, you’ll use your cloud and deployment engineering expertise to build reusable golden paths that make doing the right thing the easiest thing.ð How We Work TogetherWe’re a team that values empowerment, collaboration, and ownership. We use a platform-as-product approach, treating our internal developer platform as a core product, ensuring happy, productive, and effective developers. You’ll collaborate closely with agile product teams, aligning on shared goals, and continuously improving practices to reduce cognitive load and enhance security. Your StoryIf you bring strength in any or all of the following competencies, you are a great fit for our team.If you bring strength in any or all of the following competencies, you are a great fit for our team.Designing, shipping and operating production services : Golang/Python are preferredBuilding internal platforms other engineers actually adopt : shared libraries, golden paths, paved-road tooling. measuring whether they work (adoption, DX/DORA, developer feedback)XP practices: TDD, pair programming, trunk-based development, AI-generated change validated at scale and tight feedback loops with your internal customersCI/CD and deployment engineering : infrastructure as code, secure pipelines, zero-downtime and progressive delivery; making it safe for the teams you serve to ship on every commitIdentity and access in the product: authentication and authorization for APIs and services (OAuth2/OIDC, JWT, fine-grained permissions) beyond cloud IAM policiesReliability engineering: SLOs, error budgets and observability built on OpenTelemetryCloud engineering and architecture: Kubernetes & AWS(principally EKS, RDS, AmazonMQ and MSK); GCP familiarity comes in handyWe evaluate candidates based on the sum of their strengths. You may not have depth in all of these areas, but we will look to you for thought leadership where you do have strength. We expect you to pick up new skills and leverage the expertise of your teammates to get the job done across the breadth of our stack. Our StoryAt NewStore, we're on a mission to create a seamless, app-based omnichannel experience that will change the game for innovative retail brands. And guess what? We're doing just that, by empowering brands in 40+ countries to run their entire stores on an iPhone, we're paving the way for a brighter future in retail, where shopping is an effortless, enjoyable experience.At NewStore, our diversity is our greatest strength. Our team comprises over 40 nationalities, fostering a melting pot of unique perspectives, cultural experiences, and innovative ideas.Join us in our mission to bring the joy back to retail and be part of a team that is breaking down barriers and creating a brighter future. Perks and BenefitsGenerous PTO and R&R: We prioritize your well-being with a generous PTO policy and a culture that encourages you to take the time you need to recharge and relax.Professional Growth: We support your career development with a dedicated personal development budget and a learning-centric environment to help you advance your skills and knowledge.Flexible Work Options: With the option to work remotely, you can create a work environment that suits your lifestyle and maximizes your productivity.Balanced Work-Life: Our "life-friendly" working hours are designed to help you maintain a fulfilling career and a balanced personal life.Financial Rewards: As part of our team, you'll have the opportunity to participate in our success with employee stock options and a quarterly bonus based on company performance.

London, UK | Permanent (Hybrid) • 6+ years of Salesforce experience with at least 2 years in a technical leadership capacity, • Proven experience delivering complex Salesforce solutions as a Technical Architect, • Strong hands-on expertise across Apex, Lightning Web Components, integrations, data modelling, and platform automation, • Experience designing scalable Salesforce solutions across Sales Cloud, Service Cloud, and Salesforce Platform, • Strong client-facing consulting experience, including workshops, whiteboarding, solution design, and technical presentations, • Proven ability to lead and mentor Salesforce development teams, conduct code reviews, and set technical standards, • Current Salesforce certifications such as Platform Developer II, Integration Architecture Designer, or equivalent, • Right to work in the UK without sponsorship and flexibility to attend customer sites when required, • Consultancy or professional services background delivering Salesforce solutions directly for enterprise clients, • Experience supporting pre-sales, technical demonstrations, and solution proposals, • Knowledge and practical interest in AI within the Salesforce ecosystem, • Experience working within Agile or Scrum delivery environments, • Strong understanding of Salesforce security, performance, integration, and maintainability best practices Our client is a global consultancy seeking an experienced Salesforce Technical Architect to lead the design and delivery of complex Salesforce solutions across Sales Cloud, Service Cloud, and the wider Salesforce Platform. Working directly with clients and delivery teams, you will lead technical architecture, facilitate workshops and whiteboard sessions, and translate business requirements into scalable solutions. The role remains technically hands-on, with responsibility for Apex, Lightning Web Components, integrations, code reviews, technical standards, and mentoring development teams. #J-18808-Ljbffr

Radiant in the United Kingdom is seeking a Senior Developer Relations lead to drive developer adoption of our AI-native platform. You will own content, demos, and reference implementations while engaging with developers, customers, and technical communities to gather feedback and improve the product experience. This role blends hands-on coding with strategic evangelism and cross-functional collaboration. #J-18808-Ljbffr

A leading London property and investment group is seeking a Senior Group Accountant on a 12-month fixed-term contract to strengthen its Group Finance team during a period of change. This is a broad, hands‑on role spanning consolidated IFRS financial statements and management accounts, Board and shareholder reporting, technical accounting, balance sheet control and finance process improvement. A major owner, developer and operator of large-scale commercial and mixed‑use property. The group has a complex structure and works across central Group Finance, Treasury, Investments and segment accounting teams. Following recent investment in finance technology, the business is focused on embedding stronger processes and controls while improving reporting through standardisation, automation and better use of data. Reporting to the Group Financial Controller, the Senior Group Accountant will support accurate, timely and well‑controlled group reporting and help deliver an efficient interim and year‑end audit. Key responsibilities include: • Preparing quarterly consolidated financial statements and management accounts at ultimate group and subgroup level, including disclosure notes and front‑half narrative, • Producing analytical reviews for Audit Committee and Board reporting, identifying key transactions and explaining significant period‑on‑period movements, • Preparing quarterly shareholder reporting and supporting responses to investor queries, • Working with segment finance teams, Treasury and Investments throughout the financial reporting close, • Drafting technical accounting and policy papers on complex matters under IFRS and UK GAAP, • Preparing and overseeing key Group balance‑sheet reconciliations and resolving complex or aged items, • Accounting for interest accruals, fee amortisation and derivative fair value movements, with reconciliations to debt schedules and third‑party valuations, • Supporting the external auditors and ensuring queries are resolved efficiently for interim and year‑end reporting, • Helping to embed processes and controls around recently implemented finance technology, • Identifying opportunities to improve reporting, controls and efficiency through standardisation, automation and appropriate use of data and AI‑enabled tools, • ACA or ACCA qualified with at least two years of post‑qualification experience, • Strong experience preparing Group financial statements, with consolidations experience essential, • Sound technical knowledge of IFRS and UK GAAP, including the ability to produce clear accounting papers, • Demonstrable experience of complex balance‑sheet reconciliations, financial liabilities and external audit, • Strong Excel and data analysis skills, with examples of improving reporting or increasing process efficiency, • Comfortable working across multiple teams and seniority levels, while supporting more junior colleagues, • Exposure to finance process improvement or systems change would be advantageous; Yardi experience is useful but not essential This is a 12-month full‑time fixed‑term contract based in Canary Wharf. It offers a visible Group Finance remit across external and management reporting, technical accounting, financial control and transformation within a complex, high‑profile organisation. The role offers a pro rata salary of up to £75K depending on experience. #J-18808-Ljbffr

ClearRoute is an is an engineering consultancy bridging Quality Engineering, Cloud Platforms and Developer Experience. We work with technology leaders facing complex business challenges. We take as much pride in our people, culture and work-life balance as we do in making better software. We’re not just making better software. We’re making the making of software better. Collaborative, entrepreneurial and dedicated to problem-Solving, we bring the step change our customer need to sustain innovation. Our values challenge us to do the best we can for ClearRoute, our customers and most importantly our team. We want to create a collaborative team to help build ClearRoute. This is an opportunity for you to build the organization from the ground up, use your voice to drive change and help transform organisations and problem domains. ClearRoute is driving the adoption of agentic-first development to deliver transformative AI solutions. We are seeking an AI Solutions Engineer to play a key role in building foundational, reusable platform components (“Primitives”) and implementing production-ready AI use cases. This role is central to accelerating business value by embedding intelligent, autonomous agents into modern engineering ecosystems. You will work closely with cross-functional teams to leverage existing GenAI capabilities, design scalable AI frameworks, and deliver high-impact solutions such as the Automated Code Modernisation & Migration Agent. This engagement will establish the foundation for future AI initiatives and contribute to long-term AI strategy and innovation. • Build Foundational AI Primitives – Design and develop reusable platform components to support current and future AI use cases., • Deliver Production-Ready AI Solutions – Implement 1–2 AI solutions, with a primary focus on the Automated Code Modernisation & Migration Agent., • Automated Code Modernisation & Migration – Create intelligent agents to address technical debt by automating code transformation from legacy patterns to modern standards (e.g., Chef to Ansible migrations, platform version upgrades)., • Value Measurement Framework – Develop and implement measurement tools to assess the value and effectiveness of agentic adoption, enabling data-driven investment decisions., • Cross Team Collaboration – Work closely with engineering and product teams to integrate AI into existing workflows and ensure alignment with strategic objectives., • Proven experience in AI/ML solution architecture and implementation, preferably with Generative AI and autonomous agents., • Strong software engineering background with expertise in automation, platform engineering, and infrastructure-as-code (e.g., Ansible, Terraform)., • Experience with code modernisation and migration projects at scale., • Familiarity with enterprise engineering ecosystems and integrating AI into large-scale systems., • Strong understanding of measurement frameworks for AI adoption and value realisation., • Excellent stakeholder management skills with the ability to collaborate across multiple teams., • Previous experience with financial services or highly regulated industries., • Experience integrating AI with DevOps pipelines., • Knowledge of Chef and Ansible migration patterns., • Mid-Senior level, • Contract, • Information Technology, • IT Services and IT Consulting #J-18808-Ljbffr

Yapily is seeking an experienced Technical Software Engineering Lead to drive design, development and delivery of core microservices. You will blend hands-on coding with architectural oversight and people leadership to enable an AI-enabled engineering culture and faster developer velocity. You will own architectural decisions, shape API design, ensure system health and collaborate with Product on capacity planning and strategy while mentoring ICs and guiding teams through complex engineering #J-18808-Ljbffr

Career Level: Associate Manager/Manager Travel: Flexibility to travel to client sites Salary: competitive salary and package (dependant on level and experience) Please Note: Any offer of employment is subject to satisfactory BPSS and SC security clearance which typically requires 5 years continuous UK address history usually including no periods of 30 consecutive days or more spent outside of the UK. Note: The above information relates to a specific client requirement Working at the forefront of multiple industries, our Architecture team leads the design and delivery of some of the largest, most complex, and highest-profile technology transformations in the world. We bring together deep technology, business, and industry expertise to set direction, solve critical challenges, and deliver architectures that scale, endure, and create real impact. • Lead and shape conversations with clients, defining and driving solutions to real-world problems through a blend of architecture and engineering across public, private, and hybrid cloud environments., • Set the technical direction, influencing decisions at scale while being backed by industry-leading training, certifications, and structured coaching and mentoring programmes., • Own the Agentic Roadmap: Guide clients through the architectural evolution to active Agentic AI workflows, addressing the complexities of orchestration, state management, and autonomy., • Ensure Robustness & Security: Own the design of enterprise-wide applications that are highly available, fault-tolerant, and secure zero trust identity and access management (never trust, always verify)., • Drive Strategy & Modernization: Partner directly with clients and where necessary our partner ecosystem to translate business goals into technical requirements, defining target operating models and modernization roadmaps., • Optimize Value: Drive system performance and cost-efficiency, advising clients on Cloud Economics (FinOps), sustainability (Green Software), and resilience ensuring high performance, observable architectures especially where GenAI and Agentic play a role., • Champion system performance, resilience, and efficiency: Proactively identifying and addressing consumption and scalability challenges. Champion full stack observability using modern full stack observability, SRE and AIOps., • Manage & Mentor: Lead teams of architects and engineers, providing technical coaching, career counselling, performance management, and coaching to elevate technical excellence., • Strategic Architecture: A strong command of software architecture with the ability to link technical decisions to business outcomes (e.g., TCO, speed to market)., • Cloud & Integration Fluency: Proven experience across one or more cloud platforms (AWS, Azure, GCP, IBM), including PaaS and API gateway, IaaS including but not limited to network design, connectivity patterns, zero trust IAM, compute, storage backup, HA and DR strategies, container platforms and orchestration and iPaaS, • Agentic Vision: A clear vision for the "Agent Economy." Experience conceptualizing multi-agent orchestration, tool-use patterns, and the governance frameworks required to deploy autonomous agents safely. As a Cloud Advisory Architect, a significant portion of your role will involve defining and delivering agentic solutions, making it critical to demonstrate clear agentic excellence through experience, depth of knowledge, and mastery of AI focused technology stacks., • Modern Engineering Patterns: Deep expertise spanning Microservices, Event-Driven Architecture, and Domain-Driven Design (DDD)., • Hybrid and multi-cloud : Skilled in hybrid architectures and able to demonstrate where legacy meets cloud, • Operational Excellence: A solid understanding of non-functional requirements and the ability to translate them into robust architectural decisions for critical infrastructure., • Advisory Skills: The ability to communicate complex technical concepts to non-technical stakeholders ("Storytelling") and manage senior client relationships., • Engineering/Development : Demonstrated experience working close to engineering and teams, ensuring realistic delivery expectations., • Developer Repo Contributions : Showcase during interview personal or open-source work, prototypes, accelerators, or reference architectures so that during interview the repo artefacts can be used explain their decisions through architecture diagrams, ADRs, and code samples. At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes 25 days’ vacation per year and an 3 extra days leave per year for charitable work of your choice! Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the first-class services we are known for. Accenture reserves the right to close the role prior to this date should a suitable applicant be found. #J-18808-Ljbffr

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. The Developer Experience team provides mission critical services to the wider software engineering community at DRW. This is a dynamic role that has a blend of responsibilities, encompassing end-to-end service ownership, development work through strategic projects, and dedicated support to our internal customers. Our support work offers ample opportunities to sharpen your troubleshooting skills but also allows you to collaborate with other engineering teams, informing us of our future project work and other improvements. In this role, you will navigate novel build challenges, refine observability and alerting systems for firm-wide critical services, and build great developer workflows. Your efforts will not only advance our team's delivery capabilities but also enable all engineers at DRW to do their best work. Role requires to be in the London office 3 days per week. • Collaborate with leaders, trading teams, and developers to act as a force multiplier of the engineering population across the company., • Work within a US & UK based team with product and technical ownership of services provided by the Developer Experience team, encompassing source control, build artifact repositories, AI-powered development tools, and other tools related to software development and delivery., • Participate in a scheduled support rotation during UK business hours to help internal engineering teams get the most out of our developer platforms. This includes diagnosing complex CI workflows, managing central infrastructure in Kubernetes, and ensuring our tools are fully leveraged by internal developers., • Investigate and resolve intricate systems or build issues during support rotations, building valuable relationships with other DRW development teams., • Improve service reliability, performance, and observability of firm-wide critical infrastructure and tooling., • Work in a hybrid infrastructure environment, cloud and on-prem, using infra-as-code patterns to reliably manage and scale the services we own., • Educate users on our tools, conduct end-user demonstrations as needed, and maintain high quality self-service documentation. In addition to having a strong technical background, the following attributes are essential: • You have strong relationship building and communication skills and the drive to positively influence all areas of the organization's software delivery life cycle (SDLC)., • You have stellar written communication, ensuring your messages resonate widely., • You embrace pragmatism, balancing present needs with future optimizations, ensuring all solutions are sustainable for the long term., • You are a problem solver that is comfortable handling tasks ranging from troubleshooting low-level OS issues to architecting robust artifact storage solutions., • Continuous Integration and Delivery excite you, and you strive to avoid Continuous Irritation and Disappointment., • You are intrinsically motivated, curious, dedicated to learning, and possess a collaborative spirit., • Experience in debugging and triaging complex systems., • Experience using configuration management tooling, like Terraform to manage infrastructure in a repeatable manner., • Experience managing highly available Linux systems, both on-prem and in cloud environments., • Experience in supporting containerized applications using systems like Kubernetes, Docker, FluxCD or ArgoCD, and Helm., • Experience providing direct support to internal engineers and demonstrating customer empathy as part of a scheduled business hours-only rotation., • Experience developing and maintaining CI/CD pipelines., • 3-5 years of development experience and proficiency in at least one high-level programming language, such as Go, Python, or Java., • Demonstrated experience with building high-quality solutions and owning them throughout their entire Lifecyle., • A growth mindset and a bias for action., • You have previously built tools for measurably improving developer experience and productivity. #J-18808-Ljbffr

Direct message the job poster from Nicoll Curtin Equity Derivatives Quant Developer - C++, Python, CI/CD, Equities, Equity Derivatives, Pricing, Sensitivity Calculations, Algorithms, Quant Finance, Risk Management. I am seeking an experienced C++/Python Quant Developer to join my client who is a leading investment bank based in London. In this role, you will focus on building and optimizing infrastructure for pricing, risk management, and P&L calculation. You will collaborate with Quantitative Modellers to enhance core models and ensure compliance with regulatory standards. Key Responsibilities: • Develop and optimize systems for pricing, risk, and P&L calculations., • Partner with Quantitative Modellers to refine pricing models and tools., • Create solutions to meet regulatory reporting requirements (FRTB IMA)., • Contribute to both end-of-day and real-time risk and P&L calculations., • Build and maintain data pipelines for market data and pricing support., • Work across teams to ensure alignment and deliver on business objectives. Key Skills: • C++/Python, • Equities/Equity Derivatives, • Options, Options Pricing, Managing Pricing, • Solid understanding of pricing models and stochastic processes., • Familiarity with risk measures such as VaR, P&L forecasting, and sensitivities., • Experience working with large data sets and distributed systems., • Knowledge of Equity Derivatives and their pricing mechanisms., • Advanced Excel skills and familiarity with CI/CD workflows., • Degree in Mathematics, Finance, or a related field. This is a contract role paying up to £1050 per day inside IR35 via an umbrella. You will be required to attend the office in London up to 3 times per week. Equity Derivatives Quant Developer - C++, Python, CI/CD, Equities, Equity Derivatives, Pricing, Sensitivity Calculations, Algorithms, Quant Finance, Risk Management. • Mid-Senior level, • Contract, • Information Technology, • Investment Banking, Banking, and Financial Services Referrals increase your chances of interviewing at Nicoll Curtin by 2x London, England, United Kingdom 1 day ago London, England, United Kingdom 1 week ago London, England, United Kingdom 2 months ago London, England, United Kingdom 1 month ago London, England, United Kingdom 4 months ago Greater London, England, United Kingdom 2 weeks ago London, England, United Kingdom 7 hours ago London, England, United Kingdom 11 months ago London, England, United Kingdom 1 week ago Greater London, England, United Kingdom 1 week ago London, England, United Kingdom 1 day ago Greater London, England, United Kingdom 1 week ago London, England, United Kingdom 2 weeks ago London, England, United Kingdom 1 week ago Greater London, England, United Kingdom 2 days ago London, England, United Kingdom 5 months ago London, England, United Kingdom 1 week ago London, England, United Kingdom 3 weeks ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr

We are recruiting a Platform Engineer to join us in our London office. Our mission is make first contact with superintelligence. We are creating a superlearner that discovers all knowledge from its own experience, from elementary motor skills through to profound intellectual breakthroughs. This superlearning capability - the ability to endlessly discover knowledge and skills, without relying on human data - will be driven by the world’s most powerful reinforcement learning algorithms. The superlearner is expected to rediscover and then transcend the greatest inventions in human history, such as language, science, mathematics and technology. If successful, this will represent a scientific breakthrough of comparable magnitude to Darwin: where his law explained all life, our law will explain and build all intelligence. As a foundational hire on the platform team, you'll be joining at a point where individual decisions shape how the platform is designed, not just maintained. This isn't a role where you inherit someone else's architecture, you'll be one of the people defining it. We're pushing these learning methods to a scale that hasn’t been tried before and we care deeply about the infrastructure that gets us there. You'll own the infrastructure that the mission depends on; keeping large-scale GPU compute reliable, developer environments fast and the whole platform humming. This is an opportunity for someone who wants to be a part of defining a new paradigm in AI and wants their work to directly speed up the experimentation and progress of our ambitious research. This is a broad role, and the list below is non-exhaustive. You’ll be empowered to shape the role how you’d like in order to best enable our mission. Kubernetes and containers: manage clusters and deploy internal tools GPU scheduling at scale: hands-on with tools like KAI scheduler and Kueue to keep thousands of GPUs busy and productive Making large-scale infrastructure resilient: get to the root of hardware failures and cluster-scale chaos, building the systems that prevent them from recurring Cloud infrastructure: experience on Google Cloud and other major providers Observability that actually helps: log management and monitoring with tools like QuickWit, Grafana or Datadog Developer environments people love: tooling like Tailscale, Workbrew and dev containers that make everyone's day-to-day faster Clean, well-crafted code: e.g. Python and Rust for tools and infrastructure that are a joy to build on We move fast, give people real ownership and trust engineers to make good judgment calls. We are a team that cares as much about doing this well as doing it fast. #J-18808-Ljbffr

We are a $13+ billion global technology company, home to more than 224,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud, and AI, powered by a broad portfolio of technology services and products. HCLTech is a globally recognized leader in the Tech and IT industry, but we've never forgotten the startup mindset that got us here. We've always approached our work with an idea-first attitude because every one of our accomplishments -no matter how big or small -can be traced back to an idea's single spark. It's that spark -that inner drive -that sets our people apart from our competitors. It enables us not just to pull off game-changing feat after game-changing feat but to better our world in the process. We want you to find your spark. Because that's what drives you to be better, be more and ultimately, be more fulfilled. The AI Agent Developer will design, develop, and configure AI-driven workflows within ServiceNow using Now Assist, AI Agent Studio, prompt engineering, and workflow automation capabilities. The role will focus on delivering productivity improvements through intelligent automation while ensuring governance and regulatory compliance. • Minimum 5+ years of ServiceNow development experience, • Minimum 2+ years working with ServiceNow AI/Now Assist capabilities, • Experience delivering solutions within regulated European organizations, • Experience implementing AI governance and responsible AI controls, • Develop AI Agents using ServiceNow AI Agent Studio, • Configure and optimize Now Assist capabilities, • Design prompts, skills, and AI workflows, • Build agentic automation for incidents, requests, knowledge, and service operations, • Collaborate with architects and business stakeholders to identify AI use cases, • Ensure AI outputs meet compliance, auditability, and security requirements, • Support testing, validation, and deployment of AI-enabled solutions, • ServiceNow Development, • AI Agent Studio, • Now Assist, • Prompt Engineering, • Flow Designer, • Integration Hub, • Service Portal / UI Builder, • ServiceNow Certified Application Developer (CAD) #J-18808-Ljbffr

As part of our continuous growth, we are seeking a skilled Agentforce Technical Consultant to design, build, and optimise AI-powered agent solutions on the Salesforce platform. This role will play a key part in delivering intelligent automation, conversational experiences, and AI-driven workflows using Salesforce Agentforce capabilities. You will work as part of our Salesforce practice within delivery teams to implement scalable, secure, and high-performing solutions while developing deeper expertise in AI, automation frameworks, and emerging Salesforce innovations. This is an exciting opportunity to be at the forefront of Salesforce AI transformation Please note, you must either have Full UK Security Clearance (SC) or be able to attain it to be eligible for this role. • Design and configure Agent force agents aligned to business use cases, • Build AI-driven workflows using Flow, Apex, and orchestration tools, • Implement conversational and automation capabilities across Sales and Service use cases, • Configure prompts, grounding strategies, guardrails, and agent behaviours, • Support testing, optimisation, and monitoring of AI agent performance, • Develop custom solutions using Apex, Lightning Web Components (LWC), and declarative tools, • Build integrations using REST/SOAP APIs and event-driven patterns, • Ensure scalability, performance, and adherence to platform limits, • Support CI/CD pipelines and version control best practices, • Collaborate with Solution Architects and Technical Leads on solution design, • Participate in technical design sessions and backlog refinement, • Contribute to effort estimation and sprint planning, • Support documentation and knowledge sharing, • Ensure compliance with security, data privacy, and AI governance standards, • Apply Salesforce and AI best practices to reduce technical debt, • Contribute to reusable frameworks and accelerators within the practice, • 3–5+ years Salesforce platform development experience, • Experience with Apex, LWC, and Salesforce automation tools, • Strong understanding of data modelling and integration patterns, • Experience working in Agile delivery environments, • Strong problem-solving and analytical mindset, • Salesforce Platform Developer I (required), • Salesforce AI / Agent force certifications (where applicable), • Additional cloud certifications (Sales, Service, Experience) beneficial, • Independently delivers well-scoped development tasks, • Demonstrates growing expertise in AI-driven Salesforce capabilities, • Balances declarative and programmatic approaches effectively, • Contributes ideas and innovation within the team, • Shows ambition to grow toward Technical Lead or SME capability, • Integration Experience is beneficial (Mulesoft / APIGEE / Connected Apps), • Basic understanding of Apex sharing and security model, • Experienced with Lightning Web Components, • Skills in analyzing and problem-solving issues, • Experience of prioritizing tasks and working to deadlines, • Strong communication, time-management and multi-tasking skills, • Automated testing experience (e.g. Provar, Selenium) - desirable, • Able to understand large / complex systems and both review and pick up existing implementations for in-life enhancement., • Able to work as part of a small Agile team, collaborating with and supporting others - flexing roles and responsibilities as needed. Security Clearance will be required for this role. Candidates to confirm if they have / are willing to be cleared. Please also provide confirmation of current or previous SC clearance. At NTT DATA, you have endless opportunities to think big, act bold and take ownership. As a $30+ billion business and technology services, AI and digital infrastructure leader, we co-innovate solutions with clients and partners globally for business and societal impact. Serving 75% of the Fortune Global 100, with experts in over 70 countries, we encourage experimentation and recognize great work. Proudly a Global Top Employer, NTT DATA is part of NTT Group, which invests over $3 billion annually in R&D. Make this the place where you grow. We offer a range of tailored benefits that support your physical, emotional, and financial wellbeing. Our Learning and Development team ensure that there are continuous growth and development opportunities for our people. We also offer the opportunity to have flexible work options. You can find more information about NTT DATA UK & Ireland here: We are an equal opportunities employer. We believe in the fair treatment of all our employees and commit to promoting equity and diversity in our employment practices. We are committed to creating a diverse and inclusive workforce. We actively collaborate with individuals who have disabilities and long-term health conditions which have an effect on their ability to do normal daily activities, ensuring that barriers are eliminated when it comes to employment opportunities. In line with our commitment, we guarantee an interview to applicants who declare to us, during the recruitment process, that they have a disability and meet the minimum requirements for the role. If you require any reasonable adjustments during the recruitment process, please let us know. Join us in building a truly diverse and empowered team. #J-18808-Ljbffr

A company is hiring for an AI Copilot Developer AVP position. This role sits within a development function focused on creating and supporting business applications using Microsoft technologies, low-code platforms, and AI-enabled solutions. The successful candidate will work closely with stakeholders to design, build, and enhance innovative business solutions that improve efficiency and user experience. Position: AI Copilot Developer Location: London Contract: 6 Months Initially Pay: £490 Umbrella/day A company is hiring for an AI Copilot Developer AVP position. This role sits within a development function focused on creating and supporting business applications using Microsoft technologies, low-code platforms, and AI-enabled solutions. The successful candidate will work closely with stakeholders to design, build, and enhance innovative business solutions that improve efficiency and user experience. • Design, develop, test, and deploy AI-powered solutions using Microsoft Copilot Studio, Power Platform, and Microsoft 365 technologies., • Build and maintain intelligent agents, conversational AI experiences, and automated business processes., • Integrate AI solutions with enterprise platforms and business applications, including data and reporting technologies., • Collaborate with business stakeholders to gather requirements, identify opportunities for automation and AI, and deliver effective solutions., • Apply best practices in security, governance, compliance, and Responsible AI to ensure robust and reliable solutions., • Support solution architecture, documentation, testing, deployment, maintenance, and troubleshooting activities., • Contribute to continuous improvement initiatives through AI, automation, low-code technologies, technical support, and knowledge sharing., • Strong proficiency in Power Apps development, including Canvas and/or Model-driven applications., • Familiarity with integrating Power Apps solutions with Azure services., • Working knowledge of Dataverse architecture, data modelling, security roles, business rules, and governance., • Knowledge of AI tools, Copilot technologies, and AI governance principles., • Proven experience developing custom business applications using Microsoft Power Platform., • Experience contributing to end-to-end Power Platform projects from design through deployment., • Strong knowledge of Microsoft Power Platform technologies, including Power Apps, Power Automate, React, and PCF Controls., • Proven experience building, configuring, testing, and deploying Microsoft Copilot Studio agents., • Ability to analyse designs and code critically and provide constructive feedback., • Quality-focused, self-motivated, and collaborative approach to working within a team environment., • Additional experience with Power BI, API integration, Azure services, SQL/Oracle databases, CI/CD practices, advanced AI agents, C#/.NET, unit testing, automation tools, or other low-code platforms would be advantageous. #RM #J-18808-Ljbffr

VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value for customers by delivering intelligent solutions through Talent, Technology & Transformation. As the largest shared services organisation in the global telco industry with 30,000 FTE, our portfolio of next-generation solutions and services are designed in partnership with customers across Vodafone Group, local markets, and partner markets to simplify and drive growth. With our strategic partner Accenture, we work alongside our Vodafone customers, other Telco and tech companies to drive transformation, meet the challenges of our industry and ensure we stay relevant and resilient. This partnership is a unique, industry-first model which brings together the best of in-house and 3rd party capability. We work with customers across 28 countries from 10 VOIS locations: Albania, Egypt, Hungary, India, Romania, Spain, Turkey, UK, Germany, Ireland, and with a network of teams in Czech Republic, Italy, Greece, and Portugal. #VOIS #BeUnrivalled #CreateTheFuture Location: Paddigton or Newbury (Hybrid) We design, build and operate the digital and technology capabilities that power Vodafone's next-generation products and services. We provide the cloud-native engineering foundations, reusable platform capabilities, APIs, integrations and secure digital services that enable rapid, scalable delivery across multiple customer journeys, propositions and markets.Joining us means shaping the platforms, engineering practices and technology capabilities that underpin Vodafone's future growth. Our engineering teams leverage AI-native engineering practices to accelerate how software is analysed, designed, developed, tested and delivered, enabling faster delivery of high-quality solutions whilst maintaining strong governance, security and engineering discipline. The Platform Technical Lead - Cloud Infrastructure & AI Enablement is a senior technical and people leader responsible for defining and evolving the cloud platforms, developer platforms, engineering automation capabilities and AI enablement services that underpin software delivery across the organisation. The role leads the teams responsible for cloud infrastructure, platform engineering, developer experience, delivery automation and AI enablement capabilities, ensuring engineers can safely and efficiently deliver software using modern cloud-native and AI-native engineering practices. Operating across Engineering, Architecture, Security, Operations and Product teams, the Platform Technical Lead establishes the technical direction, governance, standards and operating model for platform engineering and AI enablement, enabling software delivery teams to scale securely, reliably and efficiently across multiple products, markets and customer journeys.. • Providing technical leadership and hands-on guidance across multiple engineering teams and delivery domains, ensuring consistent engineering standards, design patterns and implementation quality., • Leading and developing high-performing engineering teams, fostering a culture of technical excellence, accountability, continuous improvement and delivery ownership., • Driving the evolution and adoption of AI-native engineering practices, delivery frameworks, automation capabilities and engineering operating models across multiple teams., • Influencing major engineering, tooling and platform investment decisions, including automation, developer experience, cloud-native platforms and engineering capability uplift, • Driving cross-functional technical forums, resolving major engineering risks and ensuring alignment with engineering standards, architectural principles and platform evolution roadmaps., • Define and evolve the cloud platform, developer platform and AI enablement strategy supporting engineering teams across the organisation., • Lead engineering teams responsible for cloud infrastructure, platform engineering, developer experience and AI enablement capabilities., • Establish cloud-native engineering standards, platform guardrails and reusable engineering capabilities., • Drive adoption of platform engineering practices, self-service developer platforms and infrastructure automation., • Define the strategy and governance model for AI engineering tooling, AI-native software delivery and responsible use of AI-generated artefacts., • Lead evaluation, adoption and operationalisation of AI engineering technologies including coding assistants, agent frameworks, evaluation platforms and engineering automation tooling., • Own engineering platform capabilities including CI/CD, deployment automation, observability, secrets management, platform security and self-service engineering tooling., • Drive improvements in developer productivity, engineering effectiveness and delivery throughput through platform automation and AI enablement capabilities., • Ensure platform services remain secure, scalable, resilient, cost-efficient and operationally robust., • Define platform reliability, availability, security and operational excellence objectives., • Lead cloud platform evolution including multi-tenancy, multi-region deployment, scalability, resilience and platform governance., • Influence platform, cloud and engineering technology investment decisions., • Build engineering capability through coaching, talent development and succession planning., • Cloud Platform Leadership - Deep understanding of cloud-native platforms, infrastructure strategy and large-scale platform operations., • Platform Engineering - Expertise in developer platforms, self-service engineering capabilities, automation and platform enablement., • AI Enablement - Strong understanding of AI-native software delivery, AI engineering tooling, agent frameworks and AI platform capabilities., • Engineering Automation - Experience building CI/CD platforms, deployment automation, testing platforms and developer productivity tooling., • Platform Security & Governance - Knowledge of secure platform design, governance controls, compliance and operational resilience., • Developer Experience - Proven ability to improve developer productivity and reduce friction throughout the software delivery lifecycle., • Systems Thinking - Ability to design reusable organisation-wide platform capabilities that solve recurring engineering challenges., • People Leadership - Proven experience leading platform engineering, cloud engineering and infrastructure teams, • 10+ years software engineering, infrastructure engineering or platform engineering experience., • 5+ years leading cloud infrastructure, platform engineering or engineering enablement teams., • Experience defining cloud platform strategy and operating models., • Experience with Kubernetes, container platforms and cloud-native architectures., • Strong knowledge of Infrastructure as Code and platform automation., • Experience leading adoption of AI engineering tooling and AI-native software delivery approaches., • Good understanding of LLM platforms, agents, evaluation frameworks and AI governance practices., • Experience with observability, DevOps, CI/CD and engineering productivity platforms., • Experience managing multi-region, multi-tenant and large-scale cloud platforms. #J-18808-Ljbffr

Hitachi Solutions Europe Limited seeks a Senior Developer specializing in Microsoft Dynamics 365 CE and Power Platform. You will own work packages, implement components per architectures, and contribute to AI features using Copilot Studio and Azure OpenAI, while engaging in ALM and code reviews. You will collaborate with Technical Leads/Architects, ensure code quality, and mentor junior colleagues. Remote work is supported with regular office visits as needed. #J-18808-Ljbffr

Are you excited to shape how AI systems, autonomous agents, and machine-driven workflows access and create value from world-leading scientific content? Do you enjoy turning complex strategic questions into high-impact products that balance customer needs, technology, commercial opportunities, and governance considerations? ScienceDirect is Elsevier's flagship research discovery platform, home to more than 22 million publications across over 4,000 journals and 50,000 books. Researchers, clinicians, students and institutions around the world rely on it to find and use trusted, peer-reviewed science. We are a data-driven, mission-driven, customer-focused team who are passionate about building solutions that solve our users' problems. We are curious, collaborative, reliable partners who work in an open environment to explore new possibilities to bring more value to the market. A growing share of the demand for scientific content comes from software rather than people. As a Senior Product Manager, you will help define and deliver the strategy for machine and AI access to ScienceDirect content, identifying valuable use cases and translating them into scalable products and services. You will work across product, technology, legal, and commercial teams to shape how content is accessed, governed, measured, and monetized in an evolving AI ecosystem. • Play a key role in developing and maintaining the strategy for machine and AI access to Elsevier’s full content, recommending which use cases we should serve and which we should not, and building the evidence and stakeholder alignment behind those recommendations, • Translate the agreed strategy into a product roadmap and lead its delivery with engineering, from discovery through to launch, selecting the right delivery mechanism (APIs, agent connectors, etc) for each use case, • Lead customer discovery and controlled pilots to validate machine-to-to machine use cases and value exchange, turning what we learn into requirements and business cases, • Work with legal, commercial, product and technology colleagues to shape the entitlement model and access tiers for machine use, covering entitlement, identity, metering, versioning and the ability to revoke access, • Contribute to how machine usage and the value it creates are measured and reported, reflecting full text value for customers, • Keep a current view of the competitive and substitution landscape across open infrastructure, publisher gateways, aggregators and AI platforms, and bring that insight into product and strategy decisions, • Proven digital product management competencies, operating at high standards, especially excelling at assessing difficult trade-offs and setting clear priorities for the product roadmap to deliver maximum value, • Ability to use data and experiments to drive decision making, • Experience owning API, data or developer-facing products, and a track record of shipping them successfully with engineering teams, • Comfortable working with architects and engineers on data formats, content structure and delivery mechanisms, and able to translate between technical and commercial audiences, • Experience contributing to commercial models such as licensing, entitlement, packaging or pricing is an advantage, • Familiarity with how AI applications consume content, for example retrieval-augmented generation, agents, or text and data mining, is a plus, • Superb verbal, written, and interpersonal communication skills and a demonstrated ability to collaborate with others to achieve productive results, • Proven ability to influence and align stakeholders across functions without direct authority, • A research or scientific background, or a strong understanding of the needs of scientists, researchers or students, is a plus We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance, and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world. If performed in NLD Amsterdam (Radarweg), the base pay range is €79,000 - €131,500. This job may be subject to a collective labor agreement in the Netherlands. Please consult with the hiring team for further details. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. #J-18808-Ljbffr

This is a once in a lifetime opportunity to join the world's fastest growing startup as well as the biggest unicorn by valuation. With ByteDance's vision to build global platforms of creation and interaction, BytePlus is devoted to developing innovative technologies and products for businesses to fuel their next wave of growth. It is the best time to join us and pave into the new era together! • Partner with regional Sales Teams to qualify leads, identify client's pain points and create technical solutions that eventually deliver business results to clients, • Externally, call upon technical expertise and business acumen to lead the enterprise client engagement (C-level to working level) lifecycle end-to-end, from pre-sales solutioning to delivering project implementation. Activities include demos, presentations, RFI/RFP, architecture design workshops & POC delivery., • Internally, act as trusted advisor collaborating with multiple product teams and articulate clear feature requests to shape product roadmap in both short- and long-term, • Provide Thought Leadership, Industry Knowledge, and deep understanding across multiple cloud and ML products, • Work closely with product teams to close the PMF (Product Market Fit) gaps and drive the roadmap of product development / iterations, • Maintain post-sales solution support and drive upsell/cross-sell together with Account Executives, • Achieved a Bachelor's degree with strong business acumen, • 5 years of related work experience in a similar or related field, • Past experience in cloud computing, and related technology ecosystem, • Team player and able to foster positive team morale, to set goals and drive for successful fulfilment, • Can-Do attitude, self-starter, ability to work independently and highly motivated with contagious enthusiasm; agile and entrepreneurial, extremely result-oriented, • Comfortable with a fast-paced and ambiguous "startup" environment, strong problem solver, resilient, • Demonstrate strong strategic thinking and analytical skills by explaining relevant past projects in the technical interview rounds, • Knowledge or experience of one or more of the following would be beneficial: such as basic to advanced developer skills can be a plus; Hands on experience in cloud infrastructure, and migration; Good understanding of cloud native applications, and big data technologies; Computer science or engineering equivalent degrees preferred, • Industry-wise, preferably, have worked with large enterprise clients in verticals like ecommerce, Retail, Media, Entertainment, Gaming and/or Gambling, • Preferably in the role of solution architect or pre-sales solution engineering in B2B space ideally in AI/ML, video cloud, edge computing and/or cloud computing space, • Product-wise, preferably have a deep understanding of Public Cloud and related business use cases, including but not limited to; edge network (CDN) and security (WAF, DDoS), video streaming - Livestream solution end-to-end, RTC, VOD and ML applications (ML Recommend, computer vision, NLP, generative AI) Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content. Inspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day. As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us. ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too. #J-18808-Ljbffr

Our client is a leading global investment management company headquartered in London. It manages over $228 billion in assets and serves institutional investors, pension funds, wealth managers, and other sophisticated clients worldwide. The firm specializes in quantitative investing, alternative investments, systematic trading strategies, and technology-driven asset management. Data science, machine learning, and AI are core components of its investment and research processes. As part of our collaboration we will focus on two foundational capabilities required to enable safe and scalable AI adoption across the enterprise: Agentic Security and AI-Ready Data Foundations. • We define how autonomous agents authenticate, obtain scoped access, and operate safely across a large, regulated financial estate where the runtime security model genuinely does not exist yet. The value, and the danger, of agentic AI is set by what an agent can reach: an agent that inherits a full user context and long-lived secrets has an effectively unlimited blast radius. Your job is to close that gap., • This is a hands‑on senior role for a security architect who still ships code, working at the intersection of enterprise IAM, platform engineering, and the agentic‑AI security frontier. You will design and build the IaC‑driven, self‑service identity patterns, credential flows, and onboarding standards that make the secure way the easy way, across high‑velocity teams that have long governed themselves., • 8+ years in security architecture and/or platform engineering, with a track record of shipping production code. Principal / Staff‑level depth, ideally in a high‑velocity or quant / financial‑services engineering culture., • Deep, mechanical command of modern identity and authorisation: OIDC / OAuth2 / JWT — token issuance flows, claims design, and delegation / impersonation patterns., • Hands‑on HashiCorp Vault experience, including dynamic / short‑lived secrets and the realities of migrating off long‑lived tokens without breaking a large application estate at once., • Keycloak policy modelling, ideally with the Terraform‑driven configuration the firm already uses., • Strong Terraform / IaC fluency — enough to design repeatable, self‑service patterns that others adopt, rather than bespoke per‑team setups., • Working knowledge of the Active Directory + Entra legacy reality: nested groups, LDAP‑backed role mapping, and the distribution‑list‑as‑permission‑group failure mode — able to design around the mess pragmatically., • Real exposure to agentic / LLM systems and why they change the threat model — an agent actively probes and exploits standing permissions rather than stumbling onto them. That removes the “security through obscurity” cushion humans relied on., • Familiarity with MCP as an integration / onboarding standard, and at least one agent harness (Claude Agent SDK preferred)., • Experience with just‑in‑time, task‑scoped delegation versus standing access, and risk‑gated credential issuance (e.g. a short‑lived token issued against a CrowdStrike‑style risk score)., • Behavioural baselining / anomaly detection for workloads — defining “normal” for a recurring workflow and catching deviation at volume., • SIEM integration and action attribution: distinguishing an agent’s action from the human whose credentials it borrowed., • Consulting or client‑facing / pre‑sales experience., • Design and ship IaC‑driven, self‑service identity patterns that roll out firm‑wide without requiring a full Active Directory cleanup first., • Define the currently undefined agentic runtime security model: containerised code execution, permission delegation to agents, and MCP‑based tool access., • Lead the transition from long‑lived secrets toward ephemeral, time‑based, risk‑scored credentials, scoped to task duration and issued via JWT / OIDC., • Layer LLM / software guardrails (policy‑as‑text plus human review) on top of whatever hard guardrails are feasible across the estate., • Establish an opinionated onboarding standard (e.g. mandatory MCP interfaces) and win adoption through better defaults and developer experience, not mandate alone., • Design SIEM integration, behavioural baselining, and anomaly detection for agentic workflows, and centralise siloed audit logs to satisfy both security and regulatory requirements., • Take bounded beachheads (for example, authenticate users and then delegate scoped access to internal systems) from vague to delivered., • This role sits at the intersection of data engineering, AI, and financial services, solving one of the most important challenges in enterprise AI: enabling agents to securely access and reason over trusted data. You'll have the opportunity to design and build foundational platforms that combine large‑scale data systems, governance, and AI technologies in highly regulated environments. It offers significant technical ownership, exposure to cutting‑edge AI agent architectures, and the chance to shape how organisations safely unlock value from their data. #J-18808-Ljbffr

Corporate Title: Associate Department: Information Technology Location: London (Hybrid) Nomura is a financial services group with an integrated global network. By connecting markets East & West, we service the needs of individuals, institutions, corporates and governments through our four business divisions: Wealth Management, Investment Management, Wholesale (Global Markets and Investment Banking) and Banking. Driven by the insights of some 28,000 people worldwide, we put our clients at the center of everything we do, delivering unparalleled access to, from and within Asia. For further information about Nomura, visit www.nomura.com The Onyx Risk platform is used by the global Flow Rates trading desks to view their intraday risk and P&L. There is an ongoing program of work to update the system with new trader requirements and adapt to market changes, as well as a long-term strategic re-architecture/modernisation program to support additional businesses and increased volumes. The Rates Intraday Risk development team is a global team co-located with the major trading centres in Tokyo, London and New York. The successful candidate will be expected to: • Work closely with the Flow Rates trading desks and quants to analyse business requirements and provide solutions to address traders’ needs., • Work as part of the global Onyx Risk team to develop and maintain the various server-side processes and APIs that form a critical part of the system providing intraday risk and P&L to the Rates business., • Contribute towards the strategic re-architecture/modernisation of the platform from design through to implementation and rollout., • Bachelor’s degree in computer science or equivalent, • Experienced Java developer with good knowledge of Java frameworks (Spring) and an understanding of the stages of the software development lifecycle, version control, unit testing and build tools (JUnit, Maven, Jenkins, Git)., • Experience developing tools for the front office and familiarity with financial products (preferably interest rate products) and market risk concepts., • Excellent interpersonal and communication skills and strong personal initiative, • Python, Docker, Kubernetes and/or AWS experience would be beneficial., • Exposure and interest in using AI coding tools such as Claude Code and GitHub Copilot, • Explore Insights & Vision: Identify the underlying causes of problems faced by you or your team and define a clear vision and direction for the future., • Making Strategic Decisions: Evaluate all the options for resolving the problems and effectively prioritize actions or recommendations., • Inspire Entrepreneurship in People: Inspire team members through effective communication of ideas and motivate them to actively enhance productivity., • Elevate Organizational Capability: Engage proactively in professional development and enhance team productivity through the promotion of knowledge sharing., • Inclusion: Respect DEI, foster a culture of inclusion and psychological safety in the workplace and cultivate a “Risk Culture” (Challenge, Escalate and Respect). The UK Government have taken steps to reduce net migration to the UK by limiting the number of overseas workers coming to the UK for employment. Please note that whilst we are able to consider applications from overseas workers from outside the UK (who require a Tier 2 Skilled Worker visa) we can only employ them if we can provide evidence that this is a genuine vacancy for a qualified role. Nomura is an equal opportunity employer. We value diversity and are committed to ensuring we best reflect the diversity of the communities we serve creating an inclusive environment for all our employees. We welcome all applications and do not discriminate on the basis of age, disability, gender identity and gender expression, pregnancy and maternity, marriage and civil partnership, race, religion or belief, sex or sexual orientation. If you require any assistance or reasonable adjustments due to a disability or long-term health condition, please do not hesitate to contact us. #J-18808-Ljbffr

Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! Wayve’s ADAS engineering teams build the perception and intelligence that power driver assistance in real‑world driving. We work end‑to‑end: from creating high‑quality training data, to developing and evaluating CV/3D perception models, to iterating quickly based on performance gaps. The team mixes "online" (on‑car, latency/compute constrained) and "offline" (heavier, large‑scale data generation) work, with a strong focus on measurable impact and shipping. You’ll train, debug, and improve computer vision and 3D perception models, and iterate based on clear evaluation signals. You’ll work across the full ML lifecycle (data → training → evaluation → iteration), partnering with the team to decide what to tackle next based on where the system is underperforming. A meaningful portion of the role involves building scalable data pipelines (including auto‑labelling / pseudo‑labelling) to accelerate model development. You’ll help deliver core ADAS perception capabilities such as detection, classification, and instance segmentation, with domain focus across lanes, objects, traffic signs, and traffic lights. You’ll contribute to offline pipelines like tracking + 3D reconstruction that let us back‑propagate "known good" labels through time and generate large labelled datasets. Depending on your strengths, you may lean more into online models that must run fast in‑car, or offline models that improve data quality and coverage at scale. You’ve built and shipped CV‑focused deep learning systems and can demonstrate strong applied ML engineering (not research‑only). You have experience with 3D perception concepts or pipelines (e.g., LiDAR, multi‑view geometry, tracking, 3D reconstruction) and you’re comfortable owning work end‑to‑end, including evaluation and dataset generation. You enjoy pragmatic problem‑solving, working under real product constraints, and you’re excited to improve real‑world driving performance through better perception. We encourage you to apply even if you don’t meet every requirement. Wayve is building the leading AI platform for autonomous driving. We are pioneering an end‑to‑end AI approach that enables vehicles to learn directly from real‑world experience, developing the ability to adapt, generalise and improve at scale. Instead of relying on hand‑coded rules or pre‑mapped environments, our AI Driver learns to drive by understanding the world around it. The result is technology that navigates complex urban environments with intelligence, precision and natural flow, unlocking meaningful advances in both safety and efficiency. We believe autonomy represents a once‑in‑a‑generation transformation in how people and goods move, comparable to the shift from horses to cars, and from human‑driven vehicles to intelligent machines. Our ambition is to make autonomy universal. Wayve’s mapless and hardware‑agnostic AI platform integrates with global OEM partners, enabling continuous software. #J-18808-Ljbffr

Remote | Central London office (few trips a year) We’re working with a growing technology business looking to hire an experienced Senior C# Software Engineer to join its software engineering team. This is a hands-on development role for someone with strong commercial software engineering experience in C#/.NET, with experience building cloud-native, microservices-based applications. The engineering team operates in an AI-native environment, with AI-assisted and agentic development tools embedded into the software development lifecycle. Strong practical experience using AI-assisted development tools in a commercial software engineering environment is essential. You’ll be designing and developing complex production software, contributing to key architecture and technical design decisions, and helping shape how the platform evolves as the business continues to grow. You’ll be responsible for: • Designing and developing complex, production-grade applications using C# and .NET, • Building and evolving cloud-based microservices and distributed systems, • Designing scalable, resilient and maintainable services and APIs, • Working with Azure, Docker and Kubernetes, • Designing modular, reusable components using SOLID and modern engineering principles, • Working with messaging technologies and distributed application architectures, • Taking ownership of performance, scalability, reliability and maintainability, • Refactoring and modernising existing applications and services, • Developing secure, robust software capable of handling demanding production workloads, • Writing automated tests and following TDD/BDD principles, • Conducting code reviews and helping maintain high engineering standards, • Working with CI/CD pipelines and modern DevOps practices, • Using AI-assisted and agentic development tools as an integral part of day-to-day software engineering, • Helping shape how AI development tools are adopted effectively while maintaining engineering quality The role is explicitly hands-on rather than a line-management position, although there is scope to take greater technical/team leadership responsibility over time. You’ll need to be a strong software developer first and foremost, with significant experience building complex commercial applications. • Expert-level C# and .NET, • Strong commercial experience building cloud-based microservices, • Experience designing and working with distributed systems, • Commercial experience with Kubernetes and Docker, • Strong practical experience using AI-assisted development tools in a commercial engineering environment, • Experience using AI to support areas such as coding, debugging, refactoring, code review, testing and development productivity, • An understanding of how to use AI/agentic development tools responsibly without compromising code quality, • Experience with messaging technologies within distributed architectures, • Experience with asynchronous programming, concurrency and multi-threading, • A strong understanding of software architecture and design, • Experience contributing to architecture discussions and technical direction, • Experience designing scalable and resilient production systems, • Strong understanding of SOLID principles and maintainable software design, • Automated testing experience using xUnit, NUnit or MSTest, • CI/CD and ideally Azure DevOps This is an opportunity to join a growing technology business where you'll have genuine influence over how software is architected and built, rather than simply picking up development tickets. You’ll remain hands‑on with C# while having input into architecture, technical direction, engineering standards and the evolution of a modern cloud platform. You’ll also be joining an AI‑native engineering environment where AI-assisted development isn’t treated as an occasional productivity tool, it's becoming an integral part of how the team designs, builds, tests and improves software. #J-18808-Ljbffr

Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! As a Technical Business Development Manager at Wayve, you’ll play a pivotal role in scaling strategic OEM partnerships across Europe. You’ll own the front-end of major RFQ/RFI and pre-nomination activity—shaping how we position our autonomy and automotive software capabilities with customers. This is a highly cross‑functional role, working closely with product and engineering to turn complex technical value into compelling customer outcomes. You’ll have direct exposure to senior customer stakeholders and the chance to materially influence commercial momentum in one of our priority geographies. • Lead Europe‑focused early‑stage OEM engagements and drive opportunity strategy from first touch through pre‑nomination phases, • Own RFQ/RFI and bid responses end‑to‑end: clarify requirements, coordinate inputs, manage timelines, and deliver high‑quality submissions, • Partner with product, engineering, and technical leads to develop customer narratives, proposals, and supporting materials (decks, business cases, GTM content), • Present confidently to both working‑level engineering teams and executive (C‑level) stakeholders, tailoring messaging to audience needs, • Operate effectively in a matrix organisation: align internal stakeholders on positioning, feasibility, and priorities to move opportunities forward In order to set you up for success as a Technical Business Development Manager (OEM / Tier‑1 / Technology Partners) at Wayve, we’re looking for someone who can sit confidently at the intersection of deep automotive autonomy technology and complex commercial partnering. You’re as comfortable running a technical deep‑dive with engineering teams as you are aligning executives on strategy, risk, and deal structure. You bring the judgement to translate product and engineering realities into clear customer commitments—and the drive to push opportunities from early discovery through PoC planning and ultimately toward nomination. • Automotive and/or automotive software background (must‑have), • Strong understanding of OEM processes and commercial motion: RFQ/RFI, Tier 1/OEM dynamics, bidding, and pre‑nomination workflows, • Ability to understand, translate, and present technical materials credibly to technical and non‑technical audiences, • Proven ability to drive cross‑functional execution in a matrix organisation (aligning product/engineering/commercial stakeholders), • Experience working directly with European OEMs and navigating complex enterprise procurement and decision‑making environments, • Background in adjacent roles (e.g., solutions architecture, technical sales, or consulting) with demonstrated willingness to operate hands‑on at detail level, • Exposure to autonomy/ADAS, software‑defined vehicles, or related domains (helpful, not required), • Act as a force multiplier across teams, orchestrating the right stakeholders to align on priorities, build conviction around outcomes, and accelerate execution against critical goals., • Highly adaptable, with the flexibility to travel and attend onsite meetings #J-18808-Ljbffr

At Scale AI, our mission is to accelerate the development of AI applications. For 10 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations. Our team owns the full deployment lifecycle of SGP in live customer environments — from initial rollout through long-term operational health. We work cross-functionally with customers, GTM, product, and infrastructure to ensure every deployment is production-ready, secure, and built to last. We’re looking for an Infrastructure Engineering Manager to help shape the future of AI-powered applications. In this role, you’ll bridge the gap between AI research and production, leading a team that is turning innovative prototypes into scalable, high-performance enterprise solutions. Your team will work on interactive AI applications, enterprise SaaS products, and platform capabilities that redefine how businesses leverage AI. We don't just ship and move on. We stay close to the customer experience, translating real-world deployment challenges into platform improvements, automation, and scalable playbooks that make every future rollout smoother than the last. If you're energized by solving complex technical problems at the intersection of customer impact and platform excellence, this is the team for you. • Define and execute the infrastructure roadmap aligned with business and engineering priorities., • Lead the design and implementation of scalable, secure, and reliable infrastructure systems., • Set and maintain SLAs/SLOs for platform uptime, performance, and developer experience., • Manage the engineering team and drive technical delivery, • Design, build, and optimize backend services for advanced AI-driven applications, focusing on AI agents, evaluation tooling, and automation, • Influence the culture, values, and processes of a growing engineering team, • Inspire and mentor engineers., • Work closely with product, security, and engineering leadership to align on goals and priorities., • At least 5 years of relevant experience and at least 2+ years of experience managing infrastructure or platform teams., • Proven experience with cloud platforms such as AWS, GCP, Azure or OCI., • Proven experience with kubernetes deployments on on-prem infrastructure., • Deep understanding of CI/CD pipelines (e.g., Circle CI, Github Actions), infrastructure-as-code (e.g., Terraform), and container orchestration (e.g., Kubernetes)., • Experience managing production environments with high availability, reliability, and scalability requirements., • Familiarity with monitoring, alerting, and incident response best practices., • Experience working with modern developer platforms and internal tooling to improve engineering velocity., • Solid foundation and real-world experience in network engineering 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. 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. #J-18808-Ljbffr

VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value for customers by delivering intelligent solutions through Talent, Technology & Transformation. As the largest shared services organisation in the global telco industry with 30,000 FTE, our portfolio of next-generation solutions and services are designed in partnership with customers across Vodafone Group, local markets, and partner markets to simplify and drive growth. With our strategic partner Accenture, we work alongside our Vodafone customers, other Telco and tech companies to drive transformation, meet the challenges of our industry and ensure we stay relevant and resilient. This partnership is a unique, industry-first model which brings together the best of in-house and 3rd party capability. We work with customers across 28 countries from 10 VOIS locations: Albania, Egypt, Hungary, India, Romania, Spain, Turkey, UK, Germany, Ireland, and with a network of teams in Czech Republic, Italy, Greece, and Portugal. Location: Newbury or Paddington (hybrid) We are seeking a Cloud Infrastructure & Developer Platform Lead to provide technical leadership for Vodafone’s cloud infrastructure and internal developer platform capabilities. This role is responsible for engineering, reliability, automation and continuous evolution of cloud-native infrastructure that supports scalable product and service delivery. Working closely with Cloud Architects, Platform Technical Leads, security specialists and engineering teams, you will translate architectural direction into practical platform capabilities, delivering infrastructure through code, automation and self-service experiences. The position combines hands‑on engineering expertise with platform ownership, enabling reliable, secure and AI-native software delivery across multiple engineering teams. • Lead cloud infrastructure and internal developer platform engineering within a platform capability or engineering domain, • Design, build and operate cloud infrastructure and internal developer platform capabilities. Deliver self-service platform capabilities that enhance developer productivity and reduce engineering friction, • Own infrastructure-as-code, automated provisioning, platform automation and engineering environments. Translate cloud architecture strategies into implementation plans and engineering roadmaps, • Build and maintain reliable, secure and self-service engineering environments. Drive automation across provisioning, deployment, testing, observability and operational processes, • Ensure infrastructure meets agreed requirements for security, operability, compliance and resilience. Improve developer productivity through reusable platform services, engineering tooling and automation, • Support AI-native software delivery through platform capabilities, governance, automation and operational controls. Drive reliability, security, observability and operational readiness across platform services, • Manage technical risks, infrastructure incidents, dependencies and operational blockers. Provide technical leadership, mentoring and engineering guidance while remaining actively involved in platform engineering decisions, • Build platform capability, operational knowledge and engineering practices that support long-term Vodafone ownership and independence, • 7+ years of experience in cloud, infrastructure or platform engineering, • Experience leading cloud or platform engineering delivery within a technical team environment, • Strong hands‑on expertise in infrastructure-as-code, automation and cloud-native architectures, • Experience building or operating Internal Developer Platforms (IDPs) supporting multiple engineering teams, • Deep understanding of cloud-native infrastructure, networking, identity management and platform engineering, • Strong experience with CI/CD pipelines, observability, cloud security and operational readiness, • Proven experience in delivering self-service platform capabilities that improve developer productivity, • Understanding of how platform services, governance and tooling enable AI-native software delivery, • Knowledge of reliability engineering, operational resilience and secure platform design principles, • Experience treating platform capabilities as products, balancing usability, adoption, reliability and productivity, • Ability to influence, mentor and collaborate across engineering communities without relying on formal management authority, • Strong stakeholder engagement skills with the ability to work effectively across architecture, engineering and security teams Vodafone recognises and celebrates the value of diversity in building a workforce that reflects the customers and communities it serves. No form of discrimination is tolerated. This includes, but is not limited to, discrimination based on race, colour, age, veteran status, gender identity, gender expression, sexual orientation, pregnancy, maternity or parental status, ethnicity, disability, religion or belief, political affiliation, trade union membership, nationality, citizenship, indigenous status, medical condition, HIV status, neurodiversity, social origin, cultural background, marital or civil partnership status, or socio-economic background. At Vodafone, we’re working hard to build a better future. A more connected, inclusive and sustainable world. As a dynamic global community, it's our human spirit, together with technology, that empowers us to achieve this. We challenge and innovate in order to connect people, businesses, and communities across the world. Delighting our customers and earning their loyalty drive us, and we experiment, learn fast and get it done, together. With us, you can truly be yourself and belong, share inspiration, embrace new opportunities, thrive, and make a real difference. #J-18808-Ljbffr

We build AI technology for the metals industries. Our products work reliably in high-volume production environments 24/7, making billions of dollars worth of decisions. Because we work at the intersection of metals industries and AI, we solve problems involving manufacturing operations, physics and chemistry, software engineering, AI, and product design. Our teams spend a lot of time on site, with the customer, understanding their problems first hand and iterating quickly to solve them. We try to work with minimal process and permission, but ample support and collaboration. We rarely have a scheduled meeting, but we all work in the office, discussions occur continuously throughout the day, and no request for help goes unanswered for more than a few minutes. Features get shipped to production every day. Many are designed, developed, and shipped on the customer’s site, without a central planning process. For all roles, we are looking for people with the following attributes: • Exceptional ability. Whether in work, school, side projects, or elsewhere, you will have demonstrated exceptional ability. We are open minded about the exact form this takes., • You have played a key role in an early stage startup, • You have won hackathons, math, or physics competitions, • You have an impressive side project, like a popular blog or open source library., • Excellent communication. In speech and writing., • Conscientiousness. You want to do good work, regardless of oversight., • You are excited to have freedom to work without too much process and friction, but at the same time, excited to share ideas and work closely with others., • You’re excited to work in the metals industries, and everything that goes with it., • You are comfortable working in uncertain and dynamic environments. As a Software Engineer you will be a core part of our technical team working alongside forward deployed engineers and researchers to solve cutting-edge problems in the metals industries. This includes: • Understanding customer’s problems which are rooted in manufacturing operations, physics, and chemistry., • Building prototypes, rapidly iterating, and then consolidating successful solutions into maintainable and robust software., • Identify innovative solutions to deploying code and infrastructure at the edge where power and data connections are unreliable., • Recommend and implement improvements to our code, data, and infrastructure delivery pipelines, • Be able to deliver pragmatic and secure solutions for the product and development platform., • Collaborating with team members on site, and back in the office. This includes designers, engineers, and commercial colleagues. You will have: • Strong engineering. At least a bachelor degree or equivalent professional experience in engineering, physics, mathematics, compsci, or similar., • Strong programming. We are mostly language agnostic but would expect you to be fluent in one of Python, C/C++, Go, Typescript, or Java., • CI/CD and DevOps: Knowledge of building pipelines, automated testing and deployment strategies., • Monitoring and observability: Familiarity with tools like Grafana, Prometheus or other observability platforms., • Containerisation and orchestration: Docker, Kubernetes. We are open to a wide range of backgrounds, but some examples we expect to see are: • It’s likely you have professional experience as a software engineer, quantitative developer, AI engineer, or similar. You will also: Prefer mostly work in the office, colocated with your team, rather than from home. Email . Please include - in your CV or in the body of the email - a list of 3-5 things you have done that you are proud of and that are relevant to the attributes we are looking for. Where possible, please include links to your work, such as GitHub, YouTube, or portfolios. We will do two or more telephone screenings. At least one will be with the CEO. You will have a technical interview with a member of our technical staff. #J-18808-Ljbffr

Department: Technology Employment Type: Permanent - Full Time Location: London Reporting To: Design the Platform Behind Every Product, Data Insight and AI Innovation As a sole contributor, you'll Lead the design and operation of a modern multi-cloud platform that underpins engineering, data and product teams across the business. You will: • Create self-service platforms, golden paths and developer tools that enable teams to ship quickly without managing cloud complexity., • Build AI-ready infrastructure, guardrails and automation that support both human engineers and autonomous AI agents., • Champion a zero-trust, secure-by-default approach across identities, networks, workloads and data, • Partner with data teams to optimise cloud data platforms, pipelines and analytics environments that power business-critical insights., • Design, build and operate our multi-cloud and hybrid-cloud platform across at least two of the top-three providers (AWS, Azure and/or Google Cloud), plus on-prem/hybrid connectivity where needed., • Build and own an internal developer platform and self-service "golden paths" that make cloud infrastructure feel invisible and commoditised for engineering, data and product teams; and their AI agents., • Deliver everything as code: infrastructure-as-code, GitOps, reusable modules, CI/CD pipelines and policy-as-code guardrails., • Leverage AI agents extensively to automate and optimise platform work - provisioning, cost and performance optimisation, incident response, remediation and documentation., • Prepare the infrastructure for AI agents as first-class "engineers": safe machine identities, scoped permissions, sandboxes, approval workflows and audit trails so agents can provision and operate infrastructure within tight guardrails., • Embed a zero-trust security model across identity, network, workloads and data for both human and machine/agent identities; secure by default, least privilege, secrets management and continuous compliance., • Apply SRE practices - SLOs/SLIs, observability, capacity planning, resilience and blameless incident management - to keep the platform reliable and cost-efficient., • Partner with data engineering to design and optimise data pipelines, data stores and large-scale analytics infrastructure such as BigQuery, including query, cost and performance tuning., • Mentor engineers, set technical direction and champion strong platform and security engineering standards across the organisation., • Extensive hands-on experience designing, building and operating production cloud infrastructure at senior or lead level., • Multi-cloud experience across at least two of the top three providers (AWS, Microsoft Azure and Google Cloud), including a recognised professional-level cloud certification for each of those two providers (for example AWS Solutions Architect / DevOps Engineer Professional, Azure Solutions Architect / DevOps Engineer Expert, or Google Cloud Professional Cloud Architect / DevOps Engineer)., • Strong background in modern hybrid-cloud architecture and connecting cloud with on-prem/edge environments., • Deep infrastructure-as-code and automation skills (e.g. Terraform/OpenTofu, Pulumi, Ansible), GitOps and CI/CD, plus containers and orchestration (Docker, Kubernetes)., • Proven experience building internal developer platforms, self-service golden paths and platform-as-a-product to abstract away cloud complexity for engineering teams., • Practical experience using AI agents / LLM-based tooling to automate and optimise infrastructure work, and interest in designing infrastructure that AI agents can operate safely., • Strong security engineering mindset with hands-on zero-trust experience across identity, network, workloads and data — including secrets management, least-privilege IAM and machine/workload identity., • Solid programming/scripting ability (e.g. Python, Go) and strong observability, reliability and cost-optimisation practices., • Experience working as a Site Reliability Engineer (SRE) with SLOs/SLIs, error budgets and incident management., • A third top-tier cloud certification, or specialist security/Kubernetes certifications (e.g. CKA/CKS)., • Significant data engineering experience: designing and operating data pipelines and data stores, and optimising databases and large-scale data infrastructure such as BigQuery (including query, cost and performance tuning)., • Experience preparing environments for autonomous/agentic workloads — sandboxes, scoped machine identities, approval workflows and audit trails., • Experience in a regulated or fintech environment., • Pragmatic and hands-on, with a strong bias for automation and eliminating toil., • Product mindset — you treat internal engineers (human and AI) as your customers and obsess over their experience., • Security- and reliability-first, collaborative, and comfortable leading and mentoring. We have multiple offices across the UK. We have a new office in London which is becoming more central to where collaborate in person. We have a flexible working policy with a few days per week in the office. Applicants must already hold a legal right to work in the UK without time restrictions and without the need for future sponsorship. We are unable to provide Skilled Worker visa sponsorship. #J-18808-Ljbffr

Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production. Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more. Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production. Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more. We're an ambitious team of 100+ working at the frontier of AI and have raised $60M in Series C funding from Wellington Management, CRV, Next47 and Y Combinator. We're looking for an exceptional Forward Deployed Software Engineer (FDSE) to join our engineering team. This is an engineering-first role: FDSEs are the technical owners who take the Encord platform into our most strategic and advanced customer environments, working directly with users and their engineering teams to understand complex problems, make system design decisions, and build production software that solves them. As an early member of the Forward Deployed team, you'll have an outsized impact on shaping a critical engineering function at Encord. You'll work hands-on across the stack, from APIs and data workflows to backend services and product surfaces, while owning technical problems end to end. You'll make architecture decisions under real production constraints, debug complex integrations and workflows, and build solutions that can scale beyond a single customer or use case. You'll operate autonomously, defining the right technical approach with limited guidance, building trusted relationships with users, and feeding what you learn directly back into the product and engineering roadmap. • Design and build production software for complex data, ML, and application environments, • Own system design decisions for deployments, balancing correctness, scalability, performance, and speed, • Work directly with customers and their engineering teams to understand ambiguous problems and define the right technical solution, • Build across the stack, from APIs and data workflows to backend systems and product-facing functionality, • Own deployments from technical scoping through implementation, rollout, and iteration, • Turn recurring customer problems into reusable tooling and product capabilities, • Debug complex production issues across reliability, performance, and data flow, • Communicate technical decisions and trade-offs clearly to technical and non-technical stakeholders, • Operate with high autonomy and own problems end to end, • Feed deployment insights back into Product and Engineering, and help shape the FDSE function as the team grows, • A strong software engineer. You have solid fundamentals and the technical depth to design and build complex production systems, • A first-principles problem solver. You dig into the underlying problem, challenge assumptions, and make sound technical and product trade-offs rather than defaulting to the obvious solution, • A strong communicator and stakeholder partner. You can build trust, navigate competing priorities, and explain complex decisions clearly, • An autonomous builder. You operate with limited guidance, create structure from ambiguity, and drive problems through to production, • A versatile product engineer. You’re comfortable working across the stack and moving between hands‑on engineering, product thinking, and conversations with the people using what you build, • 4+ years of software engineering experience with strong CS fundamentals, • Experience building production software across the stack, from product-facing applications and APIs to backend services and data workflows, • Strong system design judgment and experience making architecture decisions for complex software, • Strong coding skills in a modern language; Python is a plus, • Evidence of owning technical problems end to end, from design through production, • Strong product judgment, technical communication, and stakeholder management, • Experience working directly with users, customers, or external engineering teams is a plus, • Bonus: experience in a high-growth startup, developer platform, or ML/data product environment, • Competitive salary, bonus, and meaningful equity in a high-growth startup, • Strong in-person culture — most of the team works from our London office 4+ days/week, • Flexible PTO to fully recharge, • Annual learning & development budget, • Comprehensive health, dental, and vision coverage, • Frequent travel opportunities across the U.S., London, and Europe, • Bi-annual company offsites, daily team lunches, and monthly socials #J-18808-Ljbffr

Ripjar was founded by veterans of GCHQ to bring national security-grade intelligence tools to the fight against financial crime. Financial crime funds human trafficking, terrorism, corruption and sanctions evasion on a global scale, and the organisations on the front line need technology built to match the threat. Today, Ripjar's AI-native software and data fusion products are used by governments, the world's largest banks, and global enterprises to automate the detection, investigation and monitoring of serious financial crime. Every day, hundreds of customers and thousands of daily active users rely on the platform to screen hundreds of millions of names for risk in real time, prevent money laundering and stop terrorist financing. If you want your work to matter, this is where it happens. We are a remote first team, with a head office based in Cheltenham. This position is open to UK wide candidates. If you are based near Cheltenham or London, you are more than welcome to work from our office at any time. Ripjar’s Engineering team builds software products that make the world safer. We work together, mixing creativity with technology and engineering excellence to solve problems that nobody else can. Our customers – including global financial institutions, corporations and technology companies – rely on our Labyrinth Screening product to monitor millions of client records, counterparties and prospects for sanctions, AML/CTF and other risks against billions of data points in near-real time. Ripjar’s unique approach to name and adverse media screening – using AI Risk Profiles– provides our customers with world leading capability, recognised by Chartis as a Category Leader in KYC Solutions. We continue to innovate at pace the compliance sector, pioneering the responsible use of AI with Compliance Copilot. As Engineering Manager, you’ll lead two high-performing, diverse teams of software engineers tackling one of the most pressing challenges of our time: detecting and preventing financial crime at scale. You’ll play a pivotal role in delivering technically sound, mission-critical solutions with a clear purpose and measurable impact. With around 10–12 engineers reporting to you across both teams, you’ll support and guide their growth while bringing structure, clarity, and consistency to how work gets delivered. This role suits someone who thrives on improving processes, building accountability, and raising engineering standards. • Lead and manage multidisciplinary engineering teams delivering reliable, scalable solutions to tackle money laundering and other financial crimes., • Support and develop your team through coaching, consistent performance feedback, and creating professional development opportunities to ensure each team member has what they need to succeed. Champion a culture of accountability, proactivity and trust., • Own and drive product delivery in alignment with the roadmap. Meet commitments, remove blockers and ensure the team can operate effectively., • Collaborate cross-functionally with Product Managers, Technical Leads, Support, Delivery, and other Engineering Managers to shape the team roadmap and deliverables., • Take a proactive role in refining and evolving engineering processes, instilling operational discipline, predictability and clarity., • Contribute to the wider engineering community through leadership in agile practices, process improvements, and knowledge sharing., • Maintain a healthy engineering culture by encouraging psychological safety, clarity in roles, and structured decision-making., • While this isn't a hands-on coding role, you'll engage confidently in technical conversations with your team. You'll have a solid working knowledge of modern programming languages and software development practices. Familiarity with our stack (k8s, Node.js, React, Python, Elasticsearch, Kafka, MongoDB and Redis) is helpful but not essential., • Purpose-Driven Work: You’ll be part of a company committed to fighting financial crime through innovative technology., • Structured Career Growth: We take career development seriously—with regular reviews, progression frameworks, and the support you need to succeed., • High Standards, Real Autonomy: You’ll have the freedom to shape your team’s ways of working, supported by a leadership team that values results over noise., • Collaborative Culture: Join a high-trust, low-ego environment where decisions are made with integrity, not politics. This role is a great fit for someone who is: • Highly organised, clear-thinking, and structured in their approach to leadership., • Decisive and confident in setting direction while remaining open to feedback., • Motivated by building high-performing teams, with a strong sense of accountability and ownership., • A strong communicator who values clarity, process, and professional standards., • A natural mentor and team developer—you understand how to get the best from people while managing performance professionally., • Strong experience in engineering leadership, with a track record of implementing process improvements and raising operational standards., • Experience in agile environments and delivering production-grade software as part of a collaborative team., • Technically credible: while you won’t be coding day-to‑day, you can engage confidently with engineers on design decisions, tooling, and technical trade-offs., • Comfortable with structured planning, performance management, and aligning engineering efforts with company objectives., • Familiarity with distributed systems and large-scale JavaScript codebases is a bonus. Why we think you’ll enjoy it here: • Competitive base salary DOE, • Fully remote working with occasional travel., • 25 days annual leave + your birthday off and Christmas shutdown, rising to 30 days after 5 years of service, • 35 hour working week, • Flexible working hours, • Life assurance, • Private Family Healthcare, • Employee Assistance Programme, • Company contributions to your pension, • Enhanced maternity/paternity pay, • The latest tech including a top of the range MacBook Pro, • Office equipped with well‑stocked pantries with food, snacks and drinks when in the office #J-18808-Ljbffr

Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! This is a high-impact technical leadership role and a key founding member position at the centre of Wayve’s Robotaxi launch, providing a unique opportunity to set direction and definition for the autonomy performance function. We are specifically looking for product-oriented engineers who will own the autonomy performance bar that determines whether the product is ready for the public and stays great release over release. You’ll turn messy real-world driving signals into trusted metrics, a prioritised funnel of issues, and cross-team execution that lands measurable improvements in production. This is an opportunity to define “performance” for an end-to-end learned driving system where traditional AV playbooks don’t translate cleanly, with visibility and influence across the teams shaping the stack. This is primarily hands‑on IC, with a clear growth path and expectation to transition into leading a small team as the Robotaxi program scales. Key responsibilities: • Own and evolve the autonomy performance measurement framework for Robotaxi (driving + pick‑up / drop‑off), including the metrics, dashboards, and narrative used by leadership to make ship/no-ship decisions, • Build and run the end‑to‑end performance improvement loop: detect issues, triage and prioritise, drive root‑cause investigations, and ensure fixes land across model, robot software, backend, and evaluation tooling, • Lead cross‑functional execution across AV core, evaluation/validation, robotics, robot software, triage/systems, and SRE—often without direct reporting authority—aligning roadmaps to performance outcomes, • Define and enforce performance release gates and regression detection for production deployments; own readiness calls, post‑release monitoring, and follow‑through on incidents/regressions, • Be hands‑on in the data and code when needed (Python/C++/SQL) to accelerate debugging, validate hypotheses, and unblock delivery In order to set you up for success as a Tech Lead within the robotaxi team here at Wayve, we’re looking for the following skills and experience. Essential • Demonstrated cross‑functional engineering leadership: you’ve led complex delivery across multiple teams and stakeholders to achieve production outcomes (without relying on direct line management), • Strong product and customer orientation; able to connect technical performance metrics to rider experience, operational outcomes, and launch readiness, • Strong autonomy/robotics performance debugging experience, including deep hands‑on work with real‑world issues and time‑series / real‑time signals (not just managing a queue), • Strong technical foundations in learned systems / ML‑driven robotics: you can reason about model behaviour, failure modes, and measurement pitfalls in data‑driven autonomy stacks, • Production fluency in Python, C++ and SQL, with the ability to work directly in code and analytics pipelines to diagnose problems and validate improvements Desirable • Experience owning or co‑owning releases to a fleet of robots/vehicles in production, including defining release processes, gates, rollback plans, and regression handling, • Familiarity with modern data/observability stacks used in autonomy programs (e.g., Databricks/SQL, Grafana, internal eval/sim tooling, dashboarding/reporting), • Track record of building scalable triage systems and performance programs (metrics taxonomy, prioritisation frameworks, quality bars) in safety‑oriented or mission‑critical environments This is a full‑time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know. We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply. At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. For more information visit Careers at Wayve. To learn more about what drives us, visit Values at Wayve. DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory. #J-18808-Ljbffr

Anthropic'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. We're looking for an Associate to join our Applied AI team in a rotational program designed to develop the next generation of technical leaders in AI. This role combines deep technical work with customer engagement, positioning you to transition into SA, Product Engineering, or other Applied AI functions after the program. Over 6 months, you'll work across a variety of Applied AI segments and functions, gaining exposure to enterprise sales cycles, product development, and technical architecture while building solutions that directly impact how our customers deploy Claude. As an Associate, you'll be a technical builder first: developing agents, creating Skills, designing internal assets, and working hands-on with Claude's SDK and API. You'll collaborate closely with Solutions Architects, Product Engineers, and Forward Deployed Engineers on complex customer problems while also partnering with Account Executives to support sales cycles. • Build production-ready agents, Skills, and solutions using Claude's SDK and API, • Develop scalable internal and customer-facing technical assets (code examples, architectures, integration patterns), • Document and share best practices for LLM prompting, evaluation, agentic workflows, and architecture design, • Create demo environments and technical proof-of-concepts that showcase Claude's capabilities, • Conduct technical discovery calls to understand customer requirements and development workflows, • Help customers design scalable architectures and develop evaluation frameworks for their AI implementations, • Provide technical troubleshooting and implementation support during customer evaluations, • Work alongside Solutions Architects and Product Engineers on complex technical requirements in sales cycles, • Partner with Forward Deployed Engineers on post-deployment optimization and expansion opportunities, • Synthesize technical feedback from customer interactions to inform product roadmap, • Rotate through different Applied AI segments over the 6-month program, gaining exposure to various customer profiles and use cases, • 0-2 years of software engineering, technical consulting, or solutions architecture experience, • Strong coding fundamentals with experience in Python, TypeScript/JavaScript, or similar languages, • Demonstrated ability to build functional applications, tools, or technical projects, • Experience with APIs, SDKs, and integration patterns, • Understanding of software development workflows, architecture patterns, and developer productivity tools, • 0-2 years of customer-facing technical experience (sales engineering, technical support, consulting, teaching, or similar), • Comfort presenting technical concepts and adapting communication style for different audiences, • Strong problem-solving skills with ability to debug issues and troubleshoot technical challenges, • Self-starter mentality with bias toward action: you see problems and build solutions without waiting for direction, • Genuine enthusiasm for AI technology and eagerness to learn in a fast-paced environment, • Growth mindset with ability to take ownership of projects and drive them to completion, • Fluency in more than one language Deadline to apply: None. Applications will be reviewed on a rolling basis. 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: £115,000 - £115,000 GBP 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 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. We believe that the highest-impact AI research will be big science. At Anthropic 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 Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process. #J-18808-Ljbffr

AI is growing faster than any technology in history and the explosion in demand has created a massive infrastructure gap; we can no longer build chips or power stations fast enough to keep up. The industry is still leaning on a ten-year-old hardware blueprint that has reached its limit. A new paradigm that is faster and more efficient will be the biggest economic opportunity of the next century and create the most important company of the next decade. The OLIX Decode Accelerator 1 (DX-1) is the first accelerator architected specifically for decode. Rack-scale co-design of logic, data movement, packaging, optics and interconnect enables a step change in system level performance. We are looking for an Infrastructure Manager to build and lead the team responsible for the internal platform our entire organization depends on. You will own the compute, storage, networking, and CI/CD systems that our hardware, software, ML, and compiler engineers use to build, test, and collaborate daily. This is a high-ownership role with the freedom to define our internal infrastructure, security standards, and technical operations from the ground up. You will guide your team to transform slow, manual workflows into fast, reproducible, and genuinely secure systems, while currently holding the reins for our foundational IT operations as the company expands. If you care equally about maximizing engineering velocity, establishing best-in-class security, and building a highly capable technical team, there is a massive amount of impactful work to dig into here. Day to day, you will guide your team and manage the strategic execution of our engineering platform and technical operations. This is a mix of strategic alignment, architectural guidance, and team enablement focused on: Team Leadership & Delivery: Direct the team in building provisioning automation, CI/CD pipelines, internal tooling, network design, and observability systems. Operational & IT Oversight: Ensure your team effectively supports and unblocks engineers on complex build or connectivity issues, while also steering the broader IT function, including identity management, device fleets, and SaaS administration, as we scale through this phase of growth. Security Posture: Champion a secure-by-default mindset across infrastructure, endpoints, and access management. Cross-Functional Collaboration: Partner closely with engineering leaders, with compiler engineering as an early and demanding customer, to ensure the engineering platform and the broader company environment remain highly coherent and efficient. Team Leadership & Management: Proven track record of managing, mentoring, and scaling high-performing infrastructure, platform, or DevOps engineering teams. You know how to align technical execution with overarching company goals. Deep Technical Foundation: A strong background as an engineer or architect in cloud computing, storage, and networking. You don't need to write every line of code, but you must be able to hold your own in architectural discussions and guide technical decisions. Developer Productivity & CI/CD: Experience overseeing the design and operation of robust build systems and CI/CD pipelines. Familiarity with the unique infrastructure demands of hardware, ML, or compiler engineering teams is a significant plus. Security & Access Management: Deep understanding of infrastructure security, identity and access management (IAM), and endpoint security. You instinctively build environments that are secure by default without destroying engineering velocity. IT Operations Oversight: Demonstrated ability to manage or oversee foundational IT functions, including device fleet management (MDM), SaaS administration, and corporate networking, particularly in a high-growth environment. From-Scratch Builder Mentality: Experience thriving in an early-stage or rapidly scaling environment. You are comfortable defining strategy, establishing processes, and building a platform from the ground up rather than just maintaining legacy systems. Cross-Functional Communication: Excellent ability to partner with diverse technical leaders across software, hardware, and IT, translating complex operational bottlenecks into clear, executable infrastructure strategies. Competitive Salary: Commensurate with your experience, skills, and location Equity & Ownership: Meaningful stock options. You're not just joining the mission; you're owning a piece of it Proximity Bonus: We value your time. To minimise your commute and maximise your life, we offer an annual Living-Local Bonus if your residence is within 20 minutes of the office Retirement Benefits:Employer-contributed retirement plans to help you build long-term financial security Due to U.S. export control regulations, candidates’ eligibility to work at OLIX depends on their most recent citizenship or permanent residency status. We are generally unable to consider applicants whose most recent citizenship or permanent residence is in certain restricted countries (currently including Iran, North Korea, Syria, Cuba, Russia, Belarus, China, Hong Kong, Macau, and Venezuela). Applicants who have subsequently obtained citizenship or permanent residency in another country not subject to these restrictions may still be eligible. #J-18808-Ljbffr

Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! As an Autonomous Driving Forensics Engineer in our Detectives team, part of the Model Integration and Release group, you will investigate issues that arise across the full Wayve AV stack. Working closely with teams across the business, you will identify root causes efficiently, test solutions thoroughly, and provide actionable insight that improves overall AV performance. Your role sits at the heart of performance improvement, identifying systemic issues within the full end-to-end stack of our AV vehicles. To do so you will work cross-functionally, interacting with all areas of the business, from hardware and software engineers to roboticists, platform developers, model development and operational teams. We're looking for someone curious, pragmatic, and system-minded: a broad thinker who is comfortable operating with limited information, thrives outside their comfort zone, and lets facts and data drive their conclusions. Just as important is the ability to communicate clearly and build strong working relationships across teams, bringing people with you as you work towards an answer. Key responsibilities: • Issue investigation & root cause analysis: Triage on-road data and conduct deep dives into recurring issues, identifying patterns across the fleet to pinpoint root causes across the robot, model, or software., • Data analysis & communication: Analyse data and communicate insights clearly, using dashboards and/or visualisations to make complex issues easy for others to understand and act on., • Cross-functional collaboration: Work closely with engineering, model development, operations, and safety teams, including taking rides in the vehicles, to understand issues and partner with system owners through to a resolution., • Process & automation: Develop automated workflows and investigation playbooks that improve turnaround time and enable faster testing cycles., • Simulation & testing: Leverage simulation and other offline tools to reproduce and debug issues, minimising the need for fleet resources., • Breadth of work: Provide investigative and systems engineering support across a broad and evolving range of problems, from new vehicle platforms to emerging programmes and release testing, as the technology and fleet grow., • Incident response: Investigate on-road incidents to establish what happened and why, feeding lessons back to the relevant teams and strengthening our wider safety culture. In order to set you up for success as an Autonomous Driving Forensics Engineer at Wayve, we're looking for the following skills and experience. Essential • 3+ years working with complex systems for robotics, autonomous vehicles, or comparable engineered systems., • Excellent critical thinking and problem-solving skills to identify and resolve complex issues within robotics and AI systems., • A systems-thinking mindset, comfortable investigating across the ful #J-18808-Ljbffr

At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: London or Austin At Cloudflare, our mission is to build a better Internet by giving customers control on they might introduce configuration changes so that they are safe, reliable, and predictable at scale. We are looking for a Product Manager to lead Safe Change for Cloudflare’s control plane. In this role, you will define how customers preview, stage, roll out, monitor, and recover from configuration changes. You will also shape platform foundations that enable internal teams to deploy changes with higher confidence, stronger guardrails, and lower operational risk. Cloudflare’s control plane converts dashboard and API changes into global network configurations. Today’s enterprise customers expect robust change-management features: deployment previews, gradual rollouts, quick rollbacks, versioning, traffic segmentation, data residency, auditability, and verification of applied state. You will own a high-leverage product domain spanning distributed systems, reliability, developer experience, and enterprise governance. Working closely with engineering and product leaders across the entire platform. You will help turn proven deployment safety patterns into reusable platform primitives across Cloudflare. This technical, highly collaborative role requires navigating architectural tradeoffs with engineers, evaluating risk and compliance with enterprise customers, and partnering with product and go-to-market teams to drive platform adoption. • Represent the customer, be it internal or external. Be the champion and voice of customers. Build intimate, personal customer relationships. Bring the customer's voice into the creation process., • Develop the product vision for your area. Ensure that your vision can work not just for your current set of customers, but for 10 or even 100 times your current set., • Evangelize the vision so that all stakeholders are aligned, have context and understand where we are going., • Make data-driven roadmap decisions. Make tough tactical prioritization decisions based off of data you collect, curate, and disseminate. Build trust with stakeholders by ensuring that your roadmap is understandable and sensible based on the data you present., • Measure success. Own the measures used to define success for your product. Success measures must be defined at the inception of a product and tracked throughout its lifecycle. Make measures visible to all stakeholders and interpret them into actionable conclusions and new hypotheses., • Author use cases and prioritize requirements. Translate observations and customer feedback into a prioritized product backlog. Author use cases based on specific real-world product applications and extrapolate detailed product requirements for the scenarios., • Collaborate across teams. We win or lose as a team. Product managers play a critical role in creating alignment between engineering teams and stakeholders. A collaborative attitude is essential to the job., • 4+ years of previous product management experience, • Domain expertise in making deployment decisions based on data. You have been there, done that as either an architect or product owner for safe change or very closely related technology space, • Distributed systems experience that allows you to drive the scaling strategy for deployment as our scale grows both on volume and number of internal customers supporting., • Experience presenting new products and features to customers – whether as a developer, analyst or product manager. You are enthusiastic about taking something you have helped build and sharing it with the world, • Strong customer and stakeholder empathy. You must be the voice of engineering, customers, support, or ops at any given time. You must be able to channel many points of view into a strategic roadmap and deliverables that provide elegant solutions to all requirements., • Exceptional communication, presentation, organizational and analytical skills, • Demonstrated ability to lead, drive consensus and deliver in a matrixed organization with multiple stakeholders, • Experience working with large and complex data sets (SQL, Postgres, Prometheus, etc.). You are skilled at proving points with data and can quickly show others how to do so., • Experience with telemetry pipelines (Metrics/Traces) and a very good understanding of modern observability platforms, • Ability to communicate complex technical concepts to all audiences, • BS/MS in a technology- or business-related field, • Experience with deployment platforms, release engineering, progressive delivery, feature flags, GitOps, IaC, or incident management., • Background in networking, security, CDN, edge computing, observability, or large-scale SaaS environments., • Hands-on experience with APIs, CLIs, telemetry tools, or scripting (e.g., Python, Go, JavaScript)., • Experience building platform capabilities adopted by multiple product teams., • Experience working with enterprise customers subject to strict change-management, compliance, or data residency mandates., • A clear product strategy and roadmap for Safe Customer Change, aligned with internal rollout and control plane initiatives., • Shipped customer capabilities for previewing and staging rollouts, backed by measurable adoption and safety metrics., • Strong cross-functional partnerships with product and engineering teams integrating safe-change capabilities., • A clear trajectory from near-term safety tooling to core control plane features (versioning, rollback, segmentation, data residency)., • Measurable reduction in operational risk, redundant tooling, and execution ambiguity across change workflows. Compensation may be adjusted depending on work location. This role is eligible to participate in Cloudflare’s equity plan. Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. • Medical/Rx Insurance, • Dental Insurance, • Vision Insurance, • Flexible Spending Accounts, • Commuter Spending Accounts, • Fertility & Family Forming Benefits, • On-demand mental health support and Employee Assistance Program, • Global Travel Medical Insurance, • Short and Long Term Disability Insurance, • Life & Accident Insurance, • 401(k) Retirement Savings Plan, • Employee Stock Participation Plan, • Flexible paid time off covering vacation and sick leave, • Leave programs, including parental, pregnancy health, medical, and bereavement leave We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at or via mail at 101 Townsend St. San Francisco, CA 94107. #J-18808-Ljbffr

As a Senior Full Stack Java Engineer within the US Corporate Loans POD, you will design, develop, and deliver enterprise integration solutions connecting Loan IQ with upstream and downstream platforms. You will leverage modern cloud-native technologies, AI-assisted development tools, and Agentic AI practices to improve software quality, scalability, and delivery velocity.A key expectation of this role is hands-on experience building AI agents and intelligent engineering solutions that automate and enhance Software Development Lifecycle (SDLC) processes, improving developer productivity and accelerating delivery outcomes. • Design and develop REST APIs, event-driven integrations, and messaging interfaces., • Build and maintain integrations between Loan IQ and enterprise applications., • Design and implement AI-powered agents and workflows that improve SDLC processes and engineering productivity., • Leverage AI-assisted development tools to accelerate coding, testing, debugging, code reviews, and documentation., • Collaborate with QA, Business Analysts, Product Owners, and Architects to deliver end-to-end solutions., • Conduct code reviews and promote engineering, integration, and cloud best practices., • Contribute to CI/CD automation, release management, and deployment processes., • Design and implement cloud-native integration solutions using Azure services and serverless technologies., • Troubleshoot production issues and optimize application and integration performance., • Core Engineering, • 8+ years of software engineering experience, ideally within Financial Services., • Strong expertise in Java, Spring Boot, REST APIs, and distributed systems., • Experience with Kafka, IBM MQ, or similar messaging technologies., • Strong integration experience with Loan IQ, lending, banking, or enterprise platforms., • Deep understanding of API design, system integration, and enterprise application architecture.Agentic AI & Software Engineering, • Experience building AI Agents and Agentic Software Engineering solutions to automate and enhance SDLC processes., • Hands-on experience with Java-based AI frameworks such as Spring AI, LangChain4j, Semantic Kernel, MCP (Model Context Protocol), or similar technologies., • Experience implementing RAG, prompt engineering, tool calling, workflow orchestration, and agent-based architectures., • Experience applying AI to:, • Code generation, • Automated testing, • Code reviews, • Documentation generation, • Troubleshooting and incident analysis, • Developer productivity automation, • Strong understanding of AI governance, security, observability, and responsible AI practices.Cloud & Architecture, • Hands-on experience with Microsoft Azure services., • Experience building serverless solutions using Azure Functions., • Strong understanding of cloud-native architecture, microservices, and event-driven integration patterns., • Experience with Azure Service Bus, Event Grid, or similar cloud messaging platforms., • Familiarity with Azure OpenAI and AI-enabled cloud architectures is highly desirable.AI-Assisted Development, • Hands-on experience with AI-assisted development tools such as GitHub Copilot, GitLab Duo, Cursor, Windsurf, or similar platforms., • Experience leveraging Generative AI for coding, testing, debugging, documentation, and engineering productivity improvements., • Ability to apply AI tools responsibly while maintaining governance, compliance, security, and quality standards.DevOps & Tooling, • Experience with GitLab CI/CD, Jenkins, Azure DevOps, or similar CI/CD platforms., • Experience with Docker, Kubernetes, and containerized deployments., • Strong understanding of DevOps, automated testing, release management, and deployment automation., • Experience in Commercial Lending, Loan Servicing, Corporate Banking, or Capital Markets., • Azure certifications or relevant cloud certifications., • Experience building enterprise AI applications, copilots, or agentic solutions., • Passion for modern software engineering, AI innovation, and platform modernization. #J-18808-Ljbffr

As a Senior Software Engineer II, you operate with a wide sphere of influence. You will own complex, highly ambiguous technical challenges end-to-end, handling unexpected hurdles independently and gracefully. Your role goes beyond individual team delivery; you will drive systemic, organizational change and shape the long-term technical direction of our platforms. You will actively drive our engineering and company principles by aligning with our broader codebase, architecture, objectives, and goals, while acting as a crucial link between senior leadership, external stakeholders, and engineering teams. Technical Leadership • Design & Build: Create solutions to highly complex problems, utilising a deep understanding of the codebase and architecture, and lead the direction for future technical change., • Architecture & Standards: Utilise expertise to enable solutions to meet security, performance, cost, reliability, maintainability, and scalability requirements in a repeatable way and beyond existing capabilities, shaping the overall technical direction. Take part in defining standards and engineering practices for the entire company. Drive adoption of latest technologies, such as AI-tools, to scale developer velocity and code quality, keeping Thought Machine always ahead of the curve., • Technical Direction: Keep a pulse on industry-leading software trends and best practices, introducing new tools and processes that shape Thought Machine’s technical roadmap., • Code Quality & Peer Review: Provide technical leadership and guidance to support others, ensuring their work items consider broader impact, long-term outcomes, and strategic direction end-to-end., • Operational Excellence: Investigate complex issues spanning across services in non-local or production environments (including across environments, clusters, and products), and possess a deep understanding to drive improvements to operational and production support processes., • Hiring: Lead technical interviews to actively evaluate the capability of Subject Matter Experts (SMEs) and leadership roles. Product & Delivery • End-to-End Ownership: Own the solution to work items of undefined scope and high complexity end-to-end, handling unexpected complexity gracefully and independently. Drive delivery requiring effective and timely stakeholder management across larger milestones, which can potentially span multiple units or departments., • Product Vision: Utilise a deep understanding of the product to envision and contribute to future solutions, plans, and approaches. Drive the direction and actively contribute to the product strategy, vision, and long-term roadmap. Collaboration & Mentorship • Strategic Communication: Communicate seamlessly with stakeholders at all levels, managing leadership expectations while preserving the agility and focus of engineering teams. Build consensus, and enable solutions to complex, changing requirements., • Team Growth: Inspire and empower others by example and through your guidance, knowledge sharing, and idea creation. Understand the capabilities and expertise of others to enable effective delegation and personal growth. Empower, inspire, and delegate effectively to senior engineers, fostering an environment of technical excellence and continuous growth., • Technical Expertise and Leadership: Deep expertise in modern backend languages (ideally Go/Python) and large-scale, cloud-native systems. A proven technical leader who champions industry best practices, mentors peers, and drives the delivery of solutions to highly complex problems., • Problem Solving: A proven ability to solve highly complex problems of undefined scope, utilising your expertise for decision-making that actively influences the strategic direction of the department., • Production Operations: Extensive experience investigating complex issues across multiple environments, clusters, and products, with a demonstrated ability to drive systemic improvements to operational and production support processes., • Egoless Collaboration: A visionary mindset that does not accept the status quo. You are receptive to new ideas, able to see how different approaches can be combined advantageously, and focused on finding solutions that improve company and client outcomes., • Communication: Exceptional communication skills with the capability to provide leadership across a variety of stakeholders, drive organisational change, and set the direction for how engineers operate with technical excellence., • Highly competitive salary, • Pension plan (match up to 5%), • Life insurance – three times annual salary, • Competitive maternity (six months fully paid) and paternity leave (four weeks fully paid), • Shared parental leave (matched to our maternity leave for the same point in time), • 25 days holiday and bank holidays, • Flexible working hours, • Cycle-to-work scheme, • Electric car scheme, • Season ticket loan, • Access to outstanding learning materials and courses, • Sports and hobby clubs, subsidised by Thought Machine, • All the latest tech you need, • Start the day properly with fresh fruit and cereals, • Huge range of healthy (and not-so-healthy) snacks, smoothies and drinks, • A talented and experienced team as your colleagues, • An environment where we encourage learning and progress, • Two charity days a year, • Weekly food pop-up We actively hire candidates who demonstrate technical excellence in their field and welcome people of all ages and backgrounds, providing everyone with equal access to professional development. You are encouraged to apply even if your experience doesn't accurately match the job description. We also encourage applications from those with different abilities, including candidates with ADHD, autism, dyslexia or dyspraxia. #J-18808-Ljbffr

P-1534 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer-obsessed — we leap at every opportunity to solve technical challenges, from designing next‑gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. Lakebase enables teams to deliver applications faster with an optimised database developer experience, integration with the lakehouse, and simplified operations. It provides a managed Postgres transactional layer for application state and workloads that combine operational data, analytics, and AI. You'll join as one of the founding leaders building out both the Lakebase product and our London presence. This is a Tech Lead Manager role: a hands‑on technical leader who guides a small team of around five engineers while staying deep in the engineering work. You'll spend the majority of your time hands‑on — driving architecture and design, solving the hardest problems in your team's projects, aligning with partner teams on dependencies, and writing code — and the rest leading and growing the engineers around you, who will report directly to you. It's role for a strong senior engineer who wants to lead a team and take on people management without stepping away from the technical work. The team you will lead (one of): • Lakebase Platform Reliability (LPR) — Constantly evolve Lakebase reliability: cross‑functional infrastructure, observability, SLI/SLO definition and measurement, and higher operational efficiency without humans-in‑the‑loop, for both internal and customer‑facing systems, by building AI‑powered automation and services., • Lakebase Proxy — Build the heart of the Lakebase data path, the network edge that every customer touches. The proxy handles all client connections and transfers every byte of query traffic, serving every data protocol: Postgres, HTTP, WebSockets, and the Data API. We route and manage large volumes of concurrent connections, solving load balancing, authentication, and data access at high throughput, with a focus on performance, observability, and reliability., • Lakebase Storage — Drive continuous delivery within a team of experts in storage technology, distributed systems, and Rust. We manage the development and rollout of storage services that host millions of customer databases across dozens of regions, partnering with peer engineering teams across Databricks to co‑evolve Lakebase services with our global infrastructure, and leading operational excellence in the 24/7 operation of our system., • Lead a small team of 5-6 engineers, owning execution and on‑time, high‑quality delivery., • Stay hands‑on: drive architecture and design, and write code on the hardest parts of your team's projects., • Set and uphold high technical standards through architecture reviews, testing, and a culture of engineering excellence., • Grow the engineers on your team with clear feedback and career development., • Align with partner teams on dependencies and unblock cross‑cutting projects across the Lakebase stack., • Partner with engineering and product leadership to shape and deliver a long‑term roadmap., • 5+ years of engineering experience, including time as a tech lead or senior engineer, driving projects end‑to‑end., • Strong hands‑on technical depth: you still design systems and write code, and can go deep on architecture for large‑scale distributed services., • Experience with large‑scale distributed services and the processes around testing, monitoring, and SLAs., • People management, or at least tech lead experience, is a must — you're ready to take on direct reports and lead them., • Ability to align multiple stakeholders on competing priorities., • Able to balance short‑term delivery against long‑term stability., • BS (or higher) in Computer Science, or a related field. Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio‑economic status, veteran status, and other protected characteristics. If access to export‑controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. #J-18808-Ljbffr

At Expedia Group, we help travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business. Here, you'll do meaningful work that helps millions of people discover, book, and experience travel with more ease, confidence, and joy. Our five Behaviors-Traveler First, Think Big, Operate with Excellence, Ownership Mindset, and Succeed Together-help foster a supportive environment where people can grow their careers and have the flexibility, benefits, and support to do their best work. Join us and build for travelers everywhere. The Senior Manager, Mobile Engineering leads the teams responsible for Expedia's native iOS and Android platforms, providing both technical and people leadership across mobile engineering. The role is accountable for engineering execution, platform strategy, operational excellence, and talent development, ensuring teams deliver reliable, scalable, and high-quality mobile experiences. Working closely with Product, Design, Architecture, Security, Quality, and Operations partners, this leader will help shape the future of Expedia's mobile ecosystem, driving engineering best practices, modern mobile architecture, release readiness, observability, and the effective adoption of AI-enabled development capabilities. The team plays a critical role in delivering seamless customer experiences while enabling the business to bring new products and features to market quickly and safely. Current priorities include evolving the next generation of mobile platform architecture, improving app performance and release quality, strengthening observability and operational resilience, and reducing the risk of customer-impacting issues in production. This is an opportunity to lead a highly experienced team and influence technical strategy across a business-critical platform, with direct impact on customer satisfaction, engineering velocity, and Expedia's mobile growth. • Lead mobile engineering teams delivering reliable, scalable native applications and shared mobile platform capabilities across multiple product domains., • Set technical direction for mobile architecture, including system design, low-level design, API design, data modeling, integration patterns, and maintainable implementation practices across iOS and Android., • Build and develop a high-performing, distributed engineering organization through hiring, performance management, mentoring, career development, skill planning, and clear alignment to customer and business outcomes., • Partner with Product, Design, Architecture, Quality, Operations, App Release, Security, and business teams to shape roadmaps, manage dependencies, and deliver measurable product and platform outcomes., • Establish predictable release and operational practices across the App Store and Google Play, improving software quality, observability, release safety, incident response, performance, accessibility, and customer-impacting reliability., • Safely integrate and operate AI/ML-enabled solutions that improve engineering and product outcomes, applying AI-driven tools and workflows appropriately within mobile experiences and engineering platforms., • Bachelor’s degree in computer science, engineering, or a related technical field, or equivalent practical experience., • 8+ years of relevant professional experience and 3+ years of people-management experience, including leadership of mobile engineering teams delivering production applications through the App Store and Google Play., • Experience owning engineering outcomes across multiple services or a substantial mobile technology domain, including architecture, roadmap delivery, reliability, operational performance, maintenance, and technical investment., • Strong knowledge of mobile software development across iOS, Android, and shared mobile capabilities, including system design, low-level design, API design, data modeling, testing, deployment, release management, and production operations., • Experience developing technical strategy, managing capacity and staffing, influencing cross-functional stakeholders, and leading teams through complex engineering and product initiatives., • Familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products, including safely integrating AI-enabled capabilities into mobile experiences or engineering platforms., • Experience leading architecture and engineering strategy for large-scale native mobile platforms serving multiple products or domains, with the ability to apply mobile expertise across varied technical and organizational contexts., • Demonstrated success improving operational excellence through observability, incident management, release automation, quality practices, phased rollouts, rollback and hotfix processes, and data-driven engineering decisions., • Experience building adaptable, high-performing engineering teams and establishing practices that improve delivery velocity, technical quality, developer effectiveness, and resource utilization., • Experience using product, customer, and operational data—including crash-free users, startup and time-to-interactive performance, ANR or freeze rates, adoption, experiment health, and customer-impacting defects—to prioritize investments and guide technical decisions. Expedia Group is committed to providing an inclusive and accessible recruiting experience. If you need an accommodation or adjustment due to a disability during the application or recruiting process, please submit a request at askeg?id=job_accommodation. Expedia Group includes three flagship consumer brands - Expedia, Hotels.com, and Vrbo - along with a leading B2B travel business and travel advertising offerings. Across our brands and business, we help travelers explore the world with confidence and ease. Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never share sensitive personal information unless you are confident of the recipient. Expedia Group does not extend job offers via email or messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official place to find and apply for roles is jobs/. Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age. #J-18808-Ljbffr

Global payments are complex and ever-evolving, and our Salesforce platform is a critical component that empowers our operations, commercial, and finance teams to scale with our growth. At Checkout, our Salesforce Engineers develop and enhance the platform and its integrations, enabling our teams to manage merchant relationships, streamline business processes, and achieve operational excellence. We’re looking for Senior Salesforce Engineers who bring fresh ideas, have a curious nature, and are passionate about working in an Engineering environment focused on building products and solutions to achieve the company’s strategic goals. You’ll get to work closely with business stakeholders and product teams across Checkout.com’s portfolio, all operating with a real customer‑first philosophy. As a Senior Salesforce Engineer, you will lead and drive specific projects critical to Checkout’s needs, focusing on the Salesforce platform, its integration ecosystem, and related technologies. You’ll have opportunities to switch teams and projects as you and our fast‑paced business grow and evolve. We need our engineers to be versatile, display exceptional leadership qualities, and be enthusiastic to take on new problems as we continue to push technology forward. With your technical expertise, you will lead project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance Salesforce solutions. Be part of, and collaborate with, cross‑functional teams including product management and business operations. Define and design loosely coupled, scalable systems within the Salesforce platform and its integrations, using industry best practices. Stay up‑to‑date, use, and spread knowledge of the latest Salesforce and related technologies used by Checkout. Write clean, maintainable, extendable, and testable Apex and LWC code on some of Checkout’s most impactful business systems. Build, own, and operate your Salesforce solutions to the highest levels of resilience and service. Mentor junior team members and assist in their technical development journey within the Salesforce ecosystem. • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field., • Proficiency in Apex, Lightning Web Components (LWC), Visualforce, and the Salesforce development ecosystem., • Strong understanding of Salesforce Governor Limits, best practices, and declarative tools (Flow, Process Builder)., • Great communication skills and ability to interact effectively with a wide range of stakeholders, including non‑technical business users., • Experience working in Agile environments and delivering high‑quality code within tight deadlines., • Excellent problem‑solving skills and the ability to work independently as well as part of a team., • Interest in AI or curiosity about AI, with enthusiasm to adopt the latest technology, particularly Salesforce Einstein capabilities., • Payments or financial knowledge is a plus, but not a necessity., • Platform Developer I or II certification is highly desirable. Checkout.com operates on a hybrid working model, offering flexibility with three days per week in the office to support collaboration and connection. #J-18808-Ljbffr

• We’re building a founding team of Strategic Account Executives in London, • Strategic accounts at Baseten are the largest and fastest-growing AI companies in the world, • These are the teams defining the future of what AI products and services look like, • These accounts can scale rapidly from one token to billions of tokens in a matter of weeks, This role owns these relationships, working directly with founders and engineering leaders on mission-critical and large-scale-AI problems in production—and shaping what we build next, • This is a highly technical sale. You’ll trade opinions on the latest open-source model releases, run fast and nuanced evaluations alongside customer engineering teams, and often pulling in SMEs from applied research to infrastructure engineers to win, • You’ll bring tight sales fundamentals and process discipline, while maintaining flexibiltiy and creativity in how you run each cycle, • This role is pioneering what sales looks like at the bleeding-edge of technology sales. This is a front row seat to the most consequential decisions made at the forefront of Artificial Intelligence. There is no faster place to learn and make an immediate impact, • Own a focused portfolio of high-growth, strategic AI-native accounts end to end — from technical evaluation and initial workload landing through expansion as inference usage scales, • Lead technical evaluations and complex, multi-stakeholder sales cycles from first conversation through close. Bring strong sales fundamentals and process discipline, while staying flexible and creative in how you run each sales cycle, • Build trusted relationships with founders and technical leaders, becoming a credible partner on model, infrastructure, and inference decisions, • Orchestrate stakeholders across applied research, engineering, and leadership to win technical evaluations and solve customer problems, • Bring customer signal back to product, shaping roadmap priorities through the needs and patterns you see in the field, • Stay close after close: help customers expand from an initial workload into additional use cases across the organization, • Remote-first work environment. The Baseten team is welcome to work from wherever they want; fully remote, in our San Francisco office, or a mix of both. Today, our team (including our founding team) is spread across the United States, Canada, and Armenia. We provide a $1,000 stipend for you to make your home-office comfortable and productive, • Regular in-person team summits. We get together as a team three times a year to plan, workshop, and most importantly, get to know each other better, • Unlimited PTO. We ask that everyone take at least 4 weeks of vacation. And we have a company-wide break between Christmas and New Year’s Day, • Full healthcare coverage. Medical, dental and vision insurance for you and your family, • Paid parental leave. 16-weeks fully paid parental leave (adoptive and non-birth parents included) and flexibility with schedules while returning to work, • Company-sponsored 401(k) for you to contribute to, • Learning and development budget. We encourage you to take classes, attend conferences, and invest in your craft and we’ll cover expenses to make it happen Proven ability to sell internally, earning engineering time, aligning leadership, and getting cross-functional teams to moveStrong sales fundamentals across discovery, multi-threading, champion-building, and deal momentumProven net-new experience selling complex technical products in fast-moving environmentsScrappy, low-ego, collaborative operator. You run toward ambiguous problems, create structure where none exists, and earn internal support without relying on rigid swim lanesStrong technical project management: you can run a thorough evaluation across multiple workstreams and create clarity and direction for Baseten to win.Highly dynamic: comfortable when a deal goes off-script, able to meet customers where they are, and willing to change your approach without losing rigor5+ years of sales experience in infrastructure, developer tools, data, or another consumption business, with a record of closing complex technical dealsGenuine curiosity for open-source models and the AI infrastructure landscape. You follow model releases and can hold your own with engineersIf you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you #J-18808-Ljbffr

Before the detail, here's the challenge you'd help us solve. We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that. Wayve’s Robot Software teams build the onboard runtime that allows autonomy applications to execute reliably across our development fleet. The Runtime Platform area focuses on the foundations shared by vehicle applications: process lifecycle, communication, resource management, diagnostics, performance, and the developer tooling needed to operate complex software on embedded compute. As a Software Engineer, Runtime Platform, you’ll help make Wayve’s onboard software faster, more predictable, and easier to build, debug, and deploy. Your work will sit close to the operating system and application framework and will affect many teams across the autonomy stack. • Design, implement, test, and maintain runtime-platform components in C++., • Profile and debug CPU, memory, latency, scheduling, I/O, and inter-process communication issues., • Build observability and diagnostics for software running on remote vehicle compute., • Work with application teams to understand performance and reliability needs., • Improve developer workflows for building, deploying, testing, and troubleshooting onboard services., • Contribute to design reviews, documentation, testing strategy, and platform roadmaps, • Application lifecycle and service management on embedded Linux or QNX systems., • High-throughput, low-latency inter-process communication for robotics workloads., • Resource management, scheduling, startup, shutdown, fault handling, and recovery., • Profiling and performance optimisation across CPU, memory, storage, networking, and accelerators., • Runtime metrics, logging, tracing, crash diagnostics, and fleet-level observability., • Reusable platform APIs that support multiple vehicle and compute configurations., • You have strong modern C++ experience and a solid foundation in systems programming., • You understand Linux processes, threads, memory, scheduling, networking, and IPC., • You can debug complex performance and reliability problems across multiple software layers., • You have experience building production software for embedded, robotics, automotive, infrastructure, or distributed systems., • You care about clean interfaces, automated testing, observability, and developer experience., • You collaborate effectively with application, platform, hardware, and operations teams. Experience with QNX, ROS2 or similar middleware, real-time systems, embedded compute, tracing/profiling tools, or high-throughput robotics data pipelines would be valuable. Not ticking every box? That’s totally okay! If you’re passionate about autonomy and keen to learn, we encourage you to apply even if you don’t meet every requirement. Wayve is building the leading AI platform for autonomous driving. We are pioneering an end to end AI approach that enables vehicles to learn directly from real world experience, developing the ability to adapt, generalise and improve at scale. Instead of relying on hand coded rules or pre mapped environments, our AI Driver learns to drive by understanding the world around it. The result is technology that navigates complex urban environments with intelligence, precision and natural flow, unlocking meaningful advances in both safety and efficiency. We believe autonomy represents a once in a generation transformation in how people and goods move, comparable to the shift from horses to cars, and from human driven vehicles to intelligent machines. Our ambition is to make autonomy universal. Wayve’s mapless and hardware agnostic AI platform integrates with global OEM partners, enabling continuous software evolution and unlocking advanced levels of automation from L2 plus through to L4 as our core AI model scales. In a race increasingly defined by intelligence and real world learning, Wayve is taking a distinct approach, building a generalisable driving intelligence that can power any vehicle, anywhere. By combining embodied AI with scalable deployment, we are creating technology that can be shaped to each OEM brand and driver experience, accelerating the transition to a safer, more intelligent future of mobility. Our main hubs are in London, Sunnyvale, Yokohama, Herzliya, Vancouver and Leonberg. We operate a hybrid working model that combines in-person collaboration in our dedicated office spaces with focused time working remotely. This gives our teams the connection and energy of working together, alongside the flexibility to do their best work in a way that fits their lives. • Initial recruiter screen — 25 mins, • Competency Interviews — Programming and technical domain interviews (2 hours), • Deep-dive technical interviews — Programming, hiring manager, and software design interviews (3 hours), • Final interview: Mission & values alignment (30 mins) We’ll always explain the format and work around your availability. • Salaries benchmarked against the market annually, • Meaningful equity, sharing in the ownership and long term success of Wayve, • Relocation support and visa sponsorship where applicable, • Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs, • Learning and development budgets with support for training, conferences and growth, • Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more A quick, honest note before you apply. Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one. At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. For more information visit Careers at Wayve. To learn more about what drives us, visit Values at Wayve DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory. #J-18808-Ljbffr