Research Scientist in United Kingdom

Overview: The Client Service team connects Guidepoint’s clients with subject-matter experts to better inform their business decisions. They take the time to understand each client’s specific research needs and deliver the experts closest to the topic, often within hours. Play a vital role in Guidepoint’s success. As an Associate on the Client Service team, you will understand your client’s unique business questions and identify the experts who can best provide the answers. You will find and recruit new experts into our network of over 1,250,000 Guidepoint Advisors, determining which ones are best suited to speak with the client. For many of our employees, the Associate role provides a unique opportunity to put core business skills into practice, as well as gain exposure to a wide range of industries and disciplines. This is a hybrid position out of our London office . All applicants must have the right to work in the UK. Interview Process: Meet your Guidepoint Recruiter! Initial Candidate Screen Meet the Guidepoint Teams! Hiring Manager Interview Mock Assessment (Role dependent) Complete a simulated client request and gain more insight into the role Mock Interview Discuss your assessment with the Guidepoint teams Interview Process Outcome Who We Are: Team-oriented and collaborative Hard-working professionals who strive for excellence Built-in mentorship to help you drive and improve your project management and customer service skills, to deliver excellent results for clients Hands-on leadership to help you develop your career and provide opportunities for upward mobility within Guidepoint Guidepoint is passionate about your career growth: Check out our Client Service Career Trajectory. What You Will Own: Operate in a sales role, identifying the best experts to join our network to provide consultation for client projects Work with Project Managers to develop strategies for satisfying each clien

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. As a product marketer at Vanta, you’ll help bring this vision to life by defining the new category of trust management, shaping Vanta’s positioning and differentiators externally, and influencing our product and business roadmap. We sit at the intersection of Marketing & Demand Generation, Sales, Product, and Customer Success and revel in connecting all of these teams to drive the business forward. Research, analysis, curiosity, storytelling, and project management are just a few of the attributes of our team – in addition to being open, empathetic, and genuinely nice people. As the EMEA Product Marketing lead, you will be responsible for bringing Vanta’s story to the EMEA audience to help us drive sustainable growth in the market. You’ll craft compelling messaging that’s tailored to the region, based on insights from buyer and market research. You’ll lead product launches to help amplify Vanta’s presence in the region, and partner closely with our product management team to identify growth opportunities for us to continue building our product. Finally, you’ll partner closely with our GTM organisation to expand Vanta’s footprint and accelerate our growth. What you’ll do as a Product Marketing Lead at Vanta: Define and manage go-to-market (GTM) strategy for Vanta’s business in EMEA tailored to the unique opportunities across the EMEA region Develop tailored messaging and positioning for EMEA based on market research and customer insights Partner with our EMEA growth team on the development and execution of targeted marketing campaigns, including tailored messaging and content that effectively engage local audiences and drive

Coder is looking for a Senior Sales Development Representative (SDR) to fuel our growth by generating qualified pipeline for our Enterprise Account Managers. You’ll help bring Coder’s Environment-as-a-Service platform to some of the world’s largest companies that are adopting AI-driven development at scale. This role is all about creating opportunities: finding and engaging the right prospects, uncovering the pain points Coder can help with, and setting up qualification calls that set our EAMs up for success. You’ll play a critical role in driving Coder’s outbound motion and helping large organizations build software faster, more securely, and at scale through the collaboration of AI coding agents and human developers. What you’ll do here Generate qualified opportunities for EAMs through targeted outbound prospecting Conduct multi-channel outreach across phone, email, and LinkedIn using tools like SalesLoft, Sales Navigator, ZoomInfo, 6sense, and Nooks Research target accounts and key personas to craft personalized and value-driven messaging Set up qualification calls for EAMs to run and advance through the sales cycle Work closely with EAMs to strategize account outreach and hand off qualified opportunities seamlessly Maintain accurate activity and lead data in CRM and engagement platforms Collaborate with marketing to align messaging and campaigns to drive higher response rates Stay sharp on developer tooling, platform engineering, and AI-driven development trends to speak credibly with prospects What we’re looking for 1-3 years in outbound SDR or BDR roles within SaaS or developer-focused technology companies Proven ability to generate pipeline through outbound cold calling, emailing, and social selling Experience with SalesLoft, LinkedIn Sales Navigator, ZoomInfo, 6sense, and similar prospecting tools Strong written and verbal communication skills; able to clearly articulate technical value propositions Grit, curiosity, and the ability to handle rejection while

About the Team ChatGPT relies on a large and growing GPU fleet to serve inference workloads reliably and efficiently. We develop the systems and tools that make it possible to introduce new models, manage production deployments, respond to operational issues, and use infrastructure effectively at scale. Our work spans distributed systems, platform engineering, infrastructure automation, and developer experience. We partner closely with research, infrastructure, and product teams to make model deployment more reliable, more efficient, and easier to manage. About the Role We are looking for a software engineer with experience building or operating large-scale production systems. You will design and develop systems that support the model lifecycle in production, including deployment orchestration, configuration management, operational automation, reliability, and capacity management. You will help transform complex operational processes into scalable platform capabilities that enable teams across OpenAI to deploy and manage models with greater confidence and less manual effort. This role is a good fit for engineers who enjoy solving complex operational problems and building software that makes production infrastructure easier to run at scale. In This Role, You Will Build and evolve the platform used to deploy, configure, and manage models across ChatGPT. Develop systems for deployment orchestration, model rollouts, operational visibility, and production readiness. Create abstractions and tooling that simplify complex infrastructure and improve the developer experience. Automate operational workflows, including incident detection, diagnosis, mitigation, and recovery. Improve the reliability, scalability, and efficiency of model deployments and the infrastructure that supports them. Build systems that support capacity planning, resource allocation, and infrastructure utilization. Partner with research, infrastructure, and product engineering teams to identify common chal

About the Team OpenAI’s Network Security team designs and operates the secure, reliable connectivity behind our offices, labs, campuses, cloud environments, people, and devices. We combine strong network fundamentals with automation, observability, and close partnership across IT, Security, Research, Applied, and business teams. About the Role As a Network Engineer, you will design, operate, troubleshoot, and automate secure, reliable networks across offices, labs, cloud connectivity, and production services. You will balance strategic platform work—architecture, standards, roadmaps, lifecycle planning, and automation—with responsive operations such as incidents, escalations, break/fix, and time-sensitive delivery. We’re looking for broad network engineers who meet users where they are, lead with curiosity, own outcomes end-to-end, move with urgency grounded in security, and iterate with purpose. You will turn operational signals and recurring reactive work into durable systems and standards. In this role, you will: End-to-end ownership of secure enterprise routing, switching, wireless, WAN, network services, and cloud connectivity. A deliberate balance of strategic platform improvement and responsive troubleshooting, change safety, incident response, and operational delivery. Purposeful iteration through software, APIs, Infrastructure-as-Code, Git workflows, testing, and CI/CD that reduces recurring reactive work. You might thrive in this role if you have: End-to-end ownership of secure enterprise routing, switching, wireless, WAN, network services, and cloud connectivity. A deliberate balance of strategic platform improvement and responsive troubleshooting, change safety, incident response, and operational delivery. Purposeful iteration through software, APIs, Infrastructure-as-Code, Git workflows, testing, and CI/CD that reduces recurring reactive work. Compensation, Benefits and Perks This is a position with OpenAI UK Ltd., which controls the hiring and manageme

About the Team Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Security team protects OpenAI’s technology, people, and products. We are technical in what we build but are operational in how we do our work, and are committed to supporting all products and research at OpenAI. Our Security team tenets include: prioritizing for impact, enabling researchers, preparing for future transformative technologies, and engaging a robust security culture. About the Role As a Security Engineer on Detection & Response, you’ll help protect OpenAI’s most sensitive assets– including our intellectual property, customer data, and the infrastructure that supports them– by building and operating the systems we use to detect suspicious activity and respond effectively when it matters. You’ll work across endpoints, identity, cloud, hyperscale compute infrastructure, and datacenter-adjacent layers, partnering closely with security teams and infrastructure owners to define the telemetry and response requirements we need and building tooling and automation where it delivers the most leverage. In this role, you will: Build and evolve Detection & Response capabilities across OpenAI’s infrastructure, products, and research environments, with an emphasis on high-signal detection and reliable operational response. Engineer detection pipelines and tooling: develop rule lifecycle management, measurement/quality loops (coverage, precision, latency), tuning processes, and safe rollout patterns. Automate response and investigations by building workflows that reduce toil (triage, enrichment, containment, evidence capture) and improve time-to-understand/time-to-contain. Partner with other Security teams and system/infrastructure owners across the company to ensure new systems ship with the right telemetry, threat models, and response playbooks from day one. Define D&R requirements and drive visibility across endpoin

🚀 About WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Seattle, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. 📐 About the role As an AI engineer at WRITER, you'll be at the forefront of shaping how enterprises harness superintelligence. This isn't just about theory; you'll be building tangible AI solutions that power the future of work for hundreds of the world's leading companies. Your work will directly impact the performance, scalability, and ethical alignment of our cutting-edge LLMs and AI agents, enabling businesses to unlock unprecedented levels of productivity and innovation with AI that is truly grounded in their data. This role can be hybrid in our London hub. You'll report to the head of AI engineering. 🦸🏻‍♀️ What you'll do Architect, develop, and deploy high-performance, scalable AI applications into production environments, ensuring robust integrations with our end-to-end platform. Drive the development of intelligent agents and AI-powered features, translating complex research into practical, impactful solutions for our customers. Collaborate closely with research scien

We're looking for a Senior Business Development Representative to join us in a high-impact commercial role at the forefront of Voice AI. You’ll play a critical part in driving pipeline growth across enterprise and mid-market accounts, working with a genuinely differentiated API product used by technical buyers globally. You’ll operate in a fast-scaling environment, partnering closely with account executives and engaging with senior stakeholders. This role is ideal for someone who combines strong sales instincts with a structured, data-driven approach and is motivated to grow within one of the most exciting and rapidly evolving areas of the tech industry. What you’ll be doing: Building and managing pipeline across a defined territory Identifying and targeting enterprise and mid-market accounts Conducting outbound prospecting using multi-channel approaches (email, phone, LinkedIn) Qualifying inbound and outbound leads to create high-quality opportunities Partnering closely with Account Executives to progress and convert opportunities Tailoring messaging to both technical and commercial stakeholders Using tools like Salesforce, sequencing platforms, and LinkedIn Sales Navigator to manage activity and performance Leveraging AI tools to research accounts and personalise outreach Who we are looking for: Demonstrated success hitting or exceeding targets, with clear evidence of performance and impact Brings a methodical, organised approach to territory management and pipeline building Able to confidently engage both technical buyers (e.g. CTOs) and business leaders with tailored messaging Comfortable selling complex or intangible products such as APIs, platforms, or developer tools Ambitious, coachable, and motivated to develop into more senior commercial roles as the company scales We encourage you to apply even if you do not feel you match all of the requirements exactly. The list of requirements is intended to show the kinds of experience and qualities we’re looking for,

About Yondr Yondr is a disruptor. We challenge convention and simplify complexity. A global developer, owner operator and service provider of data centers, we deliver complex data center capacity needs for the world’s largest tech companies. Our exponential growth sees us looking for extraordinary people to help accelerate us towards our vision: a tomorrow without constraints. But we can’t do this without you. About the Role With continued growth across our business, we are actively seeking to have a new member join our team. This is an exciting role to join an existing group of skilled development and investment professionals, enhancing the team capabilities and becoming an integral part of a rapidly growing business. We are searching for someone who has excellent quantitative and analytical skills, is comfortable building financial models and has experience with communicating with internal and external stakeholders. You will be a highly valued and trusted member of our ambitious and hardworking team, in a business that continues to scale to new heights. Main Responsibilities / Take responsibility for development and management of financial models and valuation analysis in support of potential transactions and investment opportunities / Support in all aspects of financing processes included due diligence, project management, data room management, financial analysis, legal negotiations and preparation of materials / Work closely with the Development and Finance teams to perform detailed financial analysis on new developments as well as existing portfolio assets / Production of presentation material for senior management, board members, investors, lenders and joint venture partners / Assist with commercial negotiation of legal contracts for transactions / Research and analysis of market trends and sector / asset valuations / Support in business strategy and individual project delivery /

About Us SharkNinja is a global product design and technology company, with a diversified portfolio of 5-star rated lifestyle solutions that positively impact people’s lives in homes around the world. Powered by two trusted, global brands, Shark and Ninja , the company has a proven track record of bringing disruptive innovation to market and developing one consumer product after another has allowed SharkNinja to enter multiple product categories, driving significant growth and market share gains. Headquartered in Needham, Massachusetts with more than 4,100 associates, the company’s products are sold at key retailers, online and offline, and through distributors around the world. AI at SharkNinja At SharkNinja, we’re building an AI-native culture. We’re not waiting for the future; we’re creating it. Our people are expected to experiment boldly, adopt new tools, and continuously raise what’s possible to create meaningful impact for our consumers. If you believe the best way to do your job hasn’t been invented yet, you’ll fit right in. Senior UX Designer - DTC Leeds or London (In office 3 days/week) About the role SharkNinja is seeking a strategic, highly skilled Senior UX Designer to join our Global Digital Store Centre of Excellence. This role will be instrumental in shaping and delivering best-in-class user experiences across our global direct-to-consumer (DTC) websites. As a Senior UX Designer, you will combine strategic UX thinking with hands-on design craft, leading the end-to-end experience from research and insight through user flows, wireframes, prototypes and high-fidelity UI. You will help define global UX principles while ensuring experiences are grounded in customer needs, business objectives and measurable performance. You’ll partner closely with Product, Engineering, Creative, Marketing, CRO, Analytics and r

Position Overview: We are seeking a Payroll Specialist to be responsible for handling all aspects of payroll processing across the entire organization, including Americas, EMEA, and APAC, in a fast-growing business. Strong experience managing UK payroll and knowledge of UK payroll legislation, tax, pensions, and compliance requirements is essential. The Global Payroll Specialist ensures that payroll transactions are well documented, executed appropriately, and completed on time. This role also supports the development of cost-effective and efficient payroll processes, including integrating newly acquired entities. Key Responsibilities Ensure on-time and accurate disbursement of all payroll transactions for Diligent’s employees for multiple international payrolls, while ensuring HR and Payroll records remain in synch. Work closely with Human Resources (HR) to facilitate and ensure accurate data entry of benefit, employee data, pay and other payroll changes into the payroll system. Creating and notating payroll journal entries in the general ledger (GL). Research and work with accounting to resolve payroll GL reconciliation exceptions to ensure proper recording of payroll transactions in the company’s ERP system. Review and audit timesheets and payroll reports, manage payroll cutoffs, and process payrolls timely and accurately. Assist in the maintenance of country specific payroll guidelines and applicable policies and procedures. Ensure all requests sent to the payroll department are resolved in a timely manner. Required Experience/Skills 3+ years of end-to-end payroll processing with global experience and management of third‑party international payroll providers. Experience with Workday Payroll is highly desirable, with the ability to navigate payroll processes, reporting, and employee data management effectively. General Ledger experience and a s

Here’s a summary of the role: Build cloud software that matters, grow your technical depth, and use modern AI tooling to do your best work. This is a hands-on engineering role for someone who enjoys solving product problems, writing clean code, and helping services run reliably at scale. You’ll work on secure, scalable microservices and APIs using TypeScript, AWS , and modern engineering practices. You’ll be part of a collaborative product engineering team where you can own features, contribute to design discussions, support production systems, and keep growing across backend, cloud, and AI-assisted development workflows. Here’s a breakdown of what you’ll do, not all of it, just the important stuff: Design, build, test, and improve backend services and APIs using Node.js, TypeScript, and AWS . Take ownership of well-defined features from planning through release, including code quality, deployment, and production support . Work closely with product managers, designers, and other engineers to turn requirements into practical, reliable solutions. Contribute to technical design conversations, code reviews, and engineering standards that keep the team moving well. Use AI tools to speed up research, coding, debugging, testing, and documentation, while checking outputs carefully and applying sound judgment. Help keep systems secure, observable, and maintainable by improving monitoring, reliability, and day-to-day development practices. These are the essentials you’ll need to get an interview: 3 to 5 years of professional software engineering experience building production applications in an agile environment. Strong backend development skills with Node.js and TypeScript, including experience building APIs or microservices. Experience with React or Angular in a product engineering environment. Hands-on experience with

Here’s a summary of the role: Build software that matters, take real technical ownership, and use modern AI tooling to do your best work. This is a hands-on senior engineering role for someone who enjoys solving complex product problems, shaping robust solutions, and helping teams deliver reliable services at scale. You’ll work on secure, scalable microservices and APIs using TypeScript, AWS, and modern engineering practices. You’ll play a leading role within a collaborative product engineering team, owning complex features end to end, contributing to design and architectural decisions, supporting production systems, and helping raise the bar across backend, cloud, and AI-assisted development workflows. Here’s a breakdown of what you’ll do, not all of it, just the important stuff: Own and deliver complex backend services and APIs using Node.js, TypeScript, and AWS , from technical design through release and production support. Contribute to design and architecture discussions, making pragmatic decisions that balance delivery speed, maintainability, scalability, and security. Mentor and support less experienced engineers through code reviews, pairing, technical guidance, and day-to-day collaboration. Work closely with product managers, designers, and engineers across the team to turn requirements into practical, reliable solutions. Use AI tools to accelerate coding, debugging, testing, research, and documentation, while validating outputs carefully and applying sound judgment. Strengthen service reliability, observability, and engineering quality by improving monitoring, incident response, testing, and development practices. These are the essentials you’ll need to get an interview: 5 to 8 years of professional software engineering experience delivering production systems in an agile environment. Strong backend development s

About Graphcore At Graphcore, we’re building the future of AI compute. We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence . Job Summary Join our dynamic Software Infrastructure team and take a pivotal role in scaling and managing our infrastructure. You will develop essential tools and services that empower our broader software team. Your contributions will enhance the build, test, deployment, and productisation processes of our Machine Learning Software components. Work with our High-Performance Computing (HPC) AI platforms and gain invaluable experience in distributed systems The Team The Software Infrastructure team provides critical platforms and services for software development teams across the business. Our responsibilities include managing the CI platform and services, build engineering, component integration, and packaging and release systems. We operate in squads, fostering a culture of service ownership and empowerment for our engineers. We focus on long-term engineering solutions and strive to eliminate toil wherever possible. Responsibilities and Duties Develop, own, and maintain tools and services to support AI research and engineering teams Deploy and maintain services with Kubernetes and Docker Manage our Cloud Infrastructure using tools such as Terraform Candidate Profile Essential:

About Graphcore At Graphcore, we’re building the future of AI compute.We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence. Job Summary As a Senior Machine Learning Engineer in the Applied AI team at Graphcore, you will contribute to advancing AI technology by developing and optimising AI models tailored to our specialised hardware. You will work on large scale systems where performance is critical to the success of our projects. Working closely with the Software development and Research teams, you will play a critical role in identifying opportunities to innovate and differentiate Graphcore’s technology. We seek engineers with strong technical skills and an understanding of AI model implementation at scale, eager to make a tangible impact in this rapidly evolving field. The Team The Applied AI team’s role is to be proxies for our customers, we need to understand the latest AI models, applications, and software to ensure that Graphcore’s technology works seamlessly with the AI ecosystem and at scale. We build reference applications, contribute to key software libraries e.g. optimising kernels for efficiency on our hardware, and collaborate with the Research team to develop and publish novel ideas in domains such as efficient compute, model scaling and distributed training and inference of AI models for multiple modalities and applications. If you're excited about advancing the next gen