398 jobs found

Technical Program Manager, Science Automation, DeepMind corporate_fare DeepMind place London, UK Bachelor's degree in a technical field, or equivalent practical experience. 5 years of experience in program management. Preferred qualifications: 5 years of experience managing cross-functional or cross-team projects. Experience managing deep collaborations with external partners. Manage external vendors. Experience in robotics, automation, materials labs/wet labs or systems engineering. Strong technical background with an understanding of AI in the context of lab automation and lab in the loop research. Ability to influence cross-functional teams (e.g., engineering, computational biology, product) and distill complex technical concepts for executive leadership. Demonstrated ability to improve processes, workflows, and governance to enhance research efficiency. Strategic mindset to manage high-stakes external products and partnerships while maintaining the pace of research progress. About the job At DeepMind we seek to dramatically accelerate scientific discovery by achieving a higher throughput of experimental results and enabling fundamentally new kinds of science. The role will be to lead and shape complex programs in DeepMind's Science and Strategic Initiatives Unit, with a focus on the field of Science Automation, with a strong focus on lab automation in the domains of material science and life sciences. This is an opportunity to work with researchers in various fields, multi-disciplinary teams and external partners to shape this goal and bring our research breakthroughs to the real world. There will also be the opportunity to work on projects and processes spanning across the science and strategic initiatives unit. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Responsibilities Drive end-to-end planning and delivery using project methodologies, agile boards, risk trackers, and budget management to track success against goals. Create clarity and resolve ambiguity by translating high-level strategic goals into detailed, actionable execution plans with clear milestones and deliverables. Translate research outcomes into impact (commercial, societal, reputational) like products, demos, or partnerships by working with leadership and partners. Anticipate solutions to issues and risks, track progress, manage technical documentation, and proactively identify requirements like technical dependencies. Coach individuals and lead engagement across the team by building relationships, improving ways of working, and inspiring them to achieve their full potential. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Please only apply to the one job you feel best fits your skillset and experience. If our team feels you are better suited for another role, we will reach out about the alternate opportunity. Position Overview Responsibilities kdb+/q developers at Squarepoint work closely with researchers and traders to design, implement, test and maintain our service-oriented kdb+ architecture. As a kdb+/q developer, you will contribute to designing our model of reality, normalizing diverse datasets to generate it. You will also build robust, scalable infrastructure to expose data to users worldwide. You will have a high degree of responsibility, owning key parts of the infrastructure and acting as level 2+ support for critical services during live trading. Required Qualifications Bachelor's degree in a STEM subject Up to 4 years experience in a relevant role using kdb+/q Excellent written and verbal communication skills Eagerness to continuously learn new technologies and develop with us Ability to work well in a fast-paced environment Nice to have Experience designing, testing, optimizing and troubleshooting data intensive applications Experience analyzing and organizing financial data Experience with any of Python, C++, or Rust Experience with other database management systems and related technologies such as SQL

Position Overview Integration projects team plays a crucial role in the analysis, planning, and coordination of upgrades, rollouts, and decommission across firm's trading, research, and UX's front-to-back workflows. As an integral member of team, you will collaborate closely with a wide range of technology teams and quantitative researchers, offering you the opportunity to gain a deep understanding of technology architecture, business operations, and to develop your project management and organizational skills. Project manage large scale firm wide roll outs of applications and infrastructure, user migrations from legacy to newer systems, high impact changes. Project manage business/external driven requirements requiring cross team coordination. Act as liaison between technology teams, business users and external parties during various stages of application and infrastructure delivery for in-scope projects. Increase transparency for stakeholders by maintaining quality project tracking documentation and regular communication. Use of scripting/automations for project impact assessment and data collection for migration tracking dashboards. Required Qualifications Bachelor's degree in computer science, Engineering, or related subject 5+ years of relevant experience Strong verbal and written communication Strong analytical, organizational, and interpersonal skills Good understanding of software/hardware/network concepts, software development life cycle and processes around them. Proficient in Linux OS Proficiency with Bash and any scripting language such as Python or Perl Experience in SQL (PostgreSQL, MySQL, MS SQL) Experience with the Atlassian stack (JIRA, Service Desk, Confluence) Nice to have Project management experience Exposure to reporting tools like Tableau Dashboard, Grafana

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn't changed - we're here to stop breaches, and we've redefined modern security with the world's most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. We're always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. About the Role We're building the next generation of cloud security at CrowdStrike, and we need passionate engineers to help us revolutionize threat detection. As a Software Engineer on the cloud detection engine team, you'll architect and implement a cutting edge detection system that processes billions of events across multi cloud environments. You'll work on implementing our innovative technologies like custom query languages, event orchestration systems, and advanced correlation engines to detect sophisticated cloud based threats. Collaborate with world class security researchers to transform their expertise into scalable detection capabilities that protect organizations worldwide. Our team operates at the intersection of distributed systems, data engineering, and security analytics, building a composable and modular architecture that enables continuous innovation. If you're excited about designing elegant systems that can identify real world threats, processing complex event patterns with minimal latency, and working on challenges that directly impact the security of thousands of organizations, we want to hear from you. Join us in building the technology that stops breaches before they happen. What You'll Do Lead backend engineering efforts from rapid prototypes to large scale applications across CrowdStrike products Leverage and build cloud based systems to detect targeted attacks and automate cyber threat intelligence production at a global scale Brainstorm, define and build collaboratively with members across multiple teams Obsess about learning, and champion the newest technologies & tricks with others, raising the technical IQ of the team Be mentored and mentor other developers on web, backend, and data storage technologies and our system Constantly re evaluate our product to improve architecture, knowledge models, user experience, performance and stability Be given the autonomy to own your work in a high trust environment The technology stack you'll use will include: What You'll Need Degree in Computer Science (or professional experience in data structures/algorithms/distributed systems) Understanding scalability and distributed systems i.e. sharding, partitioning, concurrency, etc Being a team player A thorough understanding of engineering best practices from appropriate testing paradigms to effective peer code reviews and resilient architecture. The ability to thrive in a fast paced, test driven, collaborative and iterative programming environment. The skills to meet your commitments on time and produce high quality software that is unit tested, code reviewed and checked in regularly for continuous integration. Bonus Points Contributions to the open source community (GitHub, Stack Overflow, blogging) Existing exposure to Go, Scala, AWS, Cassandra, Kafka, Elasticsearch Prior experience in the cybersecurity or intelligence field Experience in thinking about, designing, or implementing programming languages and/or compilers Interesting hobbies Benefits of Working at CrowdStrike Market leader in compensation and equity awards Comprehensive physical and mental wellness programs Competitive vacation and holidays for recharge Paid parental and adoption leaves Professional development opportunities for all employees regardless of level or role Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections Vibrant office culture with world class amenities Great Place to Work Certified across the globe CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program. CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions-including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay offs, return from lay off, terminations and social/recreational programs-on valid job requirements. If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at for further assistance.

Ipsos is recruiting a Data Engineer to help drive the technical evolution of our Audience Measurement data platforms. Joining a wider group of engineering leaders, you will work as part of a team championing an architecture rooted in managed cloud services, cost-conscious design, and incremental improvement. You will work closely with internal teams to Develop robust scalable data pipelines and optimise data storage solutions on GCP. What is in it for you? This is a fantastic opportunity for a mid-career / level person to work ontechnologies chosen intentionally, favouring proven tools that reduce cognitive load and maximise team velocity. Our core ecosystem revolves around: Modern Python for backend services and data processing. Cloud-native serverless compute and managed workflow orchestrators. We operate across both AWS and GCP. Deep expertise in either is welcome, with opportunities to cross-train on the other. Serverless NoSQL, Object Storage, and Serverless Analytics for our data layers. Event buses and messaging queues for asynchronous, decoupled processing. Infrastructure as Code (Pulumi/Terraform) and containerized deployments. The role As a Data Engineer, you will work in the team to guide the platform's evolution toward serverless, event-driven patterns, moving away from container-orchestrated workflows toward managed cloud services. Platform Operations: Develop robust scalable data pipelines and optimise data storage solutions on GCP. Implement ETL processes and CI/CD pipelines to ensure clean, structured data ready for use. Work with data scientists to integrate synthetic models into production environments and provide the guardrails and advice as they develop. Provide technical support, troubleshoot issues, and research new technologies to enhance capabilities. Document pipelines and the platform including architectures and user guides,helping to enforce data management standards. Engage in DataOps practices and improve data delivery performance. Data Science & Analytics Enablement:Partner with data scientists on model productionisation. You will establish clear data contracts and shared standards that enable effective collaboration. Agile Delivery:Work within an agile framework. Participate in agile ceremonies and provide occasional client interaction. Team Working / Stakeholder Engagement: Provide technical advice and guidance for internal teams and occasionally clients. Explain complex technical solutions to non-technical audiences. Continuous Improvement: Foster a culture of incremental improvement. Vision and Strategy: Support the architectural as set out by the Lead Data Engineer. About you: To be successful in this role, your technical skills should be matched by a pragmatic approach. Extensive Data Engineering Experience: A proven track record of building robust scalable data pipelines using modern cloud providers (Ideally GCP). Strong Programming Skills: Expert-level proficiency in Python, with a strong focus on building decoupled, testable functions and clear data contracts. Serverless & Event-Driven Expertise: Experience with, or strong interest in, decomposing workloads into independent steps orchestrated by managed workflow services and triggered by data events. Migration & Testing Experience: Experience with safely modernizing legacy systems using parity testing and incremental routing patterns. IaC & Containerization: Hands-on experience packaging runtimes into portable containers and provisioning cloud resources using modern Infrastructure as Code tools. Team working / Collaboration: Experience of working with wider teams of Product Managers, Data Scientists, Engineers and non technical staff. We offer a comprehensive benefits package designed to support you as an individual. Our standard benefits include 25 days annual leave, pension contribution, income protection and life assurance. In addition, there are a range of health & wellbeing, financial benefits and professional development opportunities. We realise you may have commitments outside of work and will consider flexible working applications - please highlight what you are looking for when you make your application. We have a hybrid approach to work and ask people to be in the office or with clients for 3 days per week. We are committed to equality, treating people fairly, promoting a positive and inclusive working environment and ensuring we have diversity of people and views. We recognise that this is important for our business success - a more diverse workforce will enable us to better reflect and understand the world we research and ultimately deliver better research and insight to our clients. We are proud to be a member of the Disability Confident scheme, certified as Level 2 Disability Confident Employer. We are dedicated to providing an inclusive and accessible recruitment process. About Us Ipsos is one of the world's largest research companies and currently the only one primarily managed by researchers, ranking as a full-service research organization for four consecutive years. With over 75 different data-driven solutions, and presence in 90 markets, Ipsos brings together research, implementation, methodological, and subject-matter experts from around the world, combining thematic and technical experts to deliver top-quality research and insights. Simply speaking, we help the biggest companies solve some of their biggest problems, serving more than 5000 clients across the globe by providing research, data, and insights on their target markets. And we are proud of our continuous efforts in making Ipsos the best place to work!

Overview Do you want to apply data science to one of the most important challenges in health research: enabling safe use of sensitive data at scale? In this role, you'll develop privacy and security controls that protect participants while helping researchers generate insights faster and more safely. Our Future Health is an ambitious collaboration between the public, charity and private sectors, designed to help people live healthier lives for longer through better prevention, earlier detection and improved treatment of diseases. We will speed up the discovery of new methods of early disease detection, and the evaluation of new diagnostic tools, to help identify and treat diseases early, when outcomes are usually better. With over 2.5M volunteers across the UK, we're now the world's biggest health research programme of its kind, and our volunteer group is also more diverse than other, similar health research programmes. Technology and data are central to our mission. Our systems power websites, clinics across the UK, secure analytics and research systems, pipelines that process highly sensitive health and genetic data, and we are continuing to grow our data science capability to support this ambition. To realise our ambition safely, we need to continue developing world-class approaches to data privacy, data security and responsible access to health data. We are looking for a Senior Data Scientist specialising in privacy, security and risk modelling, to help design, build and scale data-driven controls that protect participants while enabling cutting-edge research. What you'll do Develop data-driven approaches to disclosure control and safe outputs review, supporting the scaling of our TRE (Trusted Research Environment) Airlock. This may include building algorithms and automated review tools to classify outputs, detect potentially disclosive content, identify patterns of risk, and provide explainable decision support for human reviewers. Work directly with Airlock reviewers and operational users to understand where automation can help, where human judgement is essential, and how tools should be designed to support consistent, auditable and proportionate decisions. Contribute to our approach to de-identification and re-identification risk assessment, helping us assess how privacy risk changes across datasets, access models and analytical outputs. Help us develop our approaches to safe AI using health data, including how we assess and manage privacy risks associated with trained models. Explore and develop approaches to synthetic data generation, assessing how synthetic data can be used safely and usefully, and how to evaluate the privacy, fidelity and utility trade-offs of different approaches. Collaborate with our Information Security team on data-driven security control assessment, threat detection and monitoring approaches, including identifying signals of risky behaviour, anomalous activity or misuse of data access environments, and cyber risk quantification. Build prototypes and production-quality code, working with engineers to turn promising approaches into robust, maintainable and auditable tools. Work closely with governance, legal, ethics and operational colleagues to ensure technical controls fulfil their requirements. Keep up with emerging methods in statistical disclosure control, privacy-enhancing technologies, AI security, synthetic data, de-identification and privacy-preserving computation. This role will be fully hybrid with the expectation we get together in our Holborn, London office at least once per month. Eligibility and qualifications We welcome applications from all who may not feel they match the full criteria, so if you have most of the below, we'd like to hear from you: Significant experience applying data science, machine learning, statistical modelling or advanced analytics to complex real-world datasets. Strong applied statistical expertise, including the ability to quantify risk and uncertainty, evaluate assumptions, design validation approaches, interpret imperfect or incomplete evidence, and communicate the limitations of statistical or machine learning models. Strong Python skills and experience writing maintainable, production-quality code. Experience working in cross-functional teams with software engineers, data engineers or platform teams to design and deliver data products, pipelines, analytical services or decision-support tools. A user-focused approach to technical delivery: you are comfortable working with people who operate, review, govern or depend on data systems, and can translate their needs into technical requirements. Applied machine learning experience and understanding of common privacy attacks against data and models, such as memorisation, membership inference, attribute inference, model inversion or leakage through model outputs. Exposure to privacy-preserving machine learning, privacy-enhancing technologies or adjacent research areas (e.g. federated learning, secure aggregation, differential privacy, or confidential computing) Experience working with sensitive, confidential or regulated data and a strong understanding of privacy, confidentiality or information security risks. Ability to translate ambiguous operational, governance or security problems into clear data science questions and practical technical requirements. Good communication skills, with the ability to explain complex technical concepts to non-specialist stakeholders. A pragmatic, delivery-focused mindset It would be a bonus if you have any of the following experience: Working with health data or biomedical research data, electronic health records, and ideally genomic data. Developing models, algorithms or rule-based systems that support human decision-making, ideally where explainability, auditability and risk management are important. Anomaly detection, behavioural analytics, security monitoring or detection engineering. Risk quantification methods from fields such as actuarial science, epidemiology, operational research, or cyber risk. Familiarity with UK data protection, research governance or health data access expectations. Experience with PETs or privacy-preserving ML frameworks such as Flower, Opacus, TensorFlow Federated or similar. Cloud platforms, containerisation, CI/CD, MLOps or production ML systems. Experience evaluating synthetic data using both utility and privacy metrics. Hiring Process We feel hiring should be transparent and give you a real sense for what Our Future Health is like. Here's what you can expect: Initial chat with our Talent team (30 min) to get to know each other, discuss the role, and answer any questions you have. 1st interview with our Head of Data Operations (25 min) - this is an opportunity to meet your potential line manager and for you both to align on role expectations. Technical interview with 2-3 members from our tech and data teams (60 min). This will include a short task you'll need to prepare in advance of the interview and is designed to get a sense for how you'd approach the real-world responsibilities of this role. Final stage competency interview (60 min) with a small cross-functional panel of your potential new stakeholders. This will focus on how you collaborate, work with stakeholders, and navigate ambiguity and challenges in real-world projects. Competitive base salary from £80,000 Generous Pension Scheme - We invest in your future with employer contributions of up to 12% 30 Days Holiday pro rata + Bank Holidays - Enjoy a generous holiday allowance with the flexibility to take bank holidays when it suits you Enhanced Parental Leave - Supporting you during life's biggest moments Cycle to Work Scheme - Save 25-39% on a new bike and accessories through salary sacrifice Home & Tech Savings - Get up to 8% off on IKEA and Currys products, spreading the cost over 12 months through salary sacrifice EV Scheme - Save up to 40% on a brand new electric vehicle all-inclusive package through salary sacrifice £1,000 Employee Referral Bonus - Know someone amazing? Get rewarded for bringing them on board! Wellbeing Support - Access to Mental Health First Aiders, plus 24/7 online GP services and an Employee Assistance Programme for you and your family A Great Place to Work - We have a lovely Central London office in Holborn, and offer flexible and remote working arrangements Join us - let's prevent disease together. We recommend you apply as soon as possible as occasionally due to high volumes of applications, we need to close our postings early. At Our Future Health, we recognise the importance of having a diverse workforce and ensuring that all candidates, regardless of their background, have equitable access to our application process. We proactively encourage applicants who identify as having a disability, neurodiversity, or long-term health conditions to let us know if they require any reasonable adjustments as part of their application process. If you require any reasonable adjustments, please email us at

The way that academic research is being communicated to audiences around the globe is changing rapidly. Increasingly, validated research data can be consumed at scale through AI tools and machine intelligence, creating a moment of transition in research communication, and an inspiring opportunity to shape how millions discover, trust, and apply research, accelerating the translation of insight into realworld impact faster than before. Springer Nature is seeking a Senior Product Manager to help drive the business through this transition. This role will focus on the way that the world leading research and academic content published by Springer Nature makes its way to the wider world, and how it is ultimately used by students, researchers, healthcare professionals and the wider public to understand the leading edge of research. Crucially, it will also focus on protecting that content, as well as the Springer Nature platforms it is published on, from misuse. This is an opportunity to be at the forefront of Springer Nature's strategy and action to ensure that content is: Discovered by audiences in the ways that they expect in 2026 and beyond Accurately represented, retaining academic rigour when represented in the broader research ecosystem Fairly and accurately attributed, to ensure credit for researchers and publishers Not used in ways which undermine research and research publishing This is an Individual Contributor role, with the opportunity to grow into management roles or more senior IC roles in time. In this role you will be responsible for: The discoverability of Springer Nature research journal and book content outside of Springer Nature's research platforms, Springer Nature Link and Driving content reading sessions from widely used discovery platforms (e.g. Google, PubMed) Establishing and evolving partnerships with trusted partners in the research communication system (e.g. Google Scholar) Evolving and delivering Springer Nature's strategy around how content is used in new AI powered tools (e.g. Chat GPT, Claude) Evolving and delivering the strategy for content protection, working with colleagues across the organisation (e.g. anti piracy, Legal) Prioritisation of roadmaps for these initiatives, and working closely with a cross disciplinary team of engineers, designers, UX researchers and data analysts towards execution Ultimately you will be driving metrics associated with the core business models of Springer Nature, demonstrating clear value to Subscription, Transformative Agreement and Open Access publishing revenue lines. In this role you will work closely with: Head of Product, on the overall strategy for the discovery of research, researchers and research insights from Springer Nature's Researcher Platform Product Managers leading teams focussed on on platform content discovery, reading and task based researcher workflows (like literature review) Product Managers and business leaders in the evolution of our business models and the way we communicate value to our customers Product Managers responsible for Springer Nature's foundational technology and data products, which drive our user facing products and platforms Product Managers responsible for Springer Nature's Solutions products, where you will identify and execute on opportunities to drive revenue in partnership with them User Experience Researchers and Product Data Analysts, providing insights to guide delivery roadmaps Cross functional delivery teams in the creation and execution of deliverable roadmaps Experience & Track Record Proven Product Leader with a strong history of turning business objectives and user insights into clear, actionable product roadmaps Demonstrable success managing customerfocused digital products Experience delivering product outcomes across commercial, behavioural, qualitative and quantitative measures Skilled in agile delivery environments, with the ability to influence engineering teams and support the development of technical capability Experienced in managing products across the full lifecycle, from inception through optimisation to retirement Skills & Competencies Deeply usercentred, with a strong ability to understand customer needs and translate them into valuable product outcomes. Highly collaborative, with a strong track record of working effectively with crossfunctional delivery teams and a wide range of stakeholders Excellent communication skills, able to tailor messaging for senior leaders, delivery teams and external partners Datadriven and confident in using quantitative and qualitative evidence to inform decisions and articulate rationale Effective at navigating ambiguity and complexity, maintaining clarity of direction and supporting team alignment Strong stakeholder management, negotiation and facilitation skills to enable timely and effective decisionmaking Desirable Experience Experience working with content to drive offsite visibility (e.g., SEO, GEO strategies) Experience designing and delivering content protection policies and strategies (e.g., Web Application Firewalls) Experience working in research communication or media/publishing Qualifications Degree in a relevant discipline or equivalent demonstrable professional experience.

Ipsos is recruiting a Data Engineer to help drive the technical evolution of our Audience Measurement data platforms. Joining a wider group of engineering leaders, you will work as part of a team championing an architecture rooted in managed cloud services, cost-conscious design, and incremental improvement. You will work closely with internal teams to Develop robust scalable data pipelines and optimise data storage solutions on GCP. What is in it for you? This is a fantastic opportunity for a mid-career / level person to work ontechnologies chosen intentionally, favouring proven tools that reduce cognitive load and maximise team velocity. Our core ecosystem revolves around: Modern Python for backend services and data processing. Cloud-native serverless compute and managed workflow orchestrators. We operate across both AWS and GCP. Deep expertise in either is welcome, with opportunities to cross-train on the other. Serverless NoSQL, Object Storage, and Serverless Analytics for our data layers. Event buses and messaging queues for asynchronous, decoupled processing. Infrastructure as Code (Pulumi/Terraform) and containerized deployments. The role As a Data Engineer, you will work in the team to guide the platform's evolution toward serverless, event-driven patterns, moving away from container-orchestrated workflows toward managed cloud services. Platform Operations: Develop robust scalable data pipelines and optimise data storage solutions on GCP. Implement ETL processes and CI/CD pipelines to ensure clean, structured data ready for use. Work with data scientists to integrate synthetic models into production environments and provide the guardrails and advice as they develop. Provide technical support, troubleshoot issues, and research new technologies to enhance capabilities. Document pipelines and the platform including architectures and user guides,helping to enforce data management standards. Engage in DataOps practices and improve data delivery performance. Data Science & Analytics Enablement:Partner with data scientists on model productionisation. You will establish clear data contracts and shared standards that enable effective collaboration. Agile Delivery:Work within an agile framework. Participate in agile ceremonies and provide occasional client interaction. Team Working / Stakeholder Engagement: Provide technical advice and guidance for internal teams and occasionally clients. Explain complex technical solutions to non-technical audiences. Continuous Improvement: Foster a culture of incremental improvement. Vision and Strategy: Support the architectural as set out by the Lead Data Engineer. About you: To be successful in this role, your technical skills should be matched by a pragmatic approach. Extensive Data Engineering Experience: A proven track record of building robust scalable data pipelines using modern cloud providers (Ideally GCP). Strong Programming Skills: Expert-level proficiency in Python, with a strong focus on building decoupled, testable functions and clear data contracts. Serverless & Event-Driven Expertise: Experience with, or strong interest in, decomposing workloads into independent steps orchestrated by managed workflow services and triggered by data events. Migration & Testing Experience: Experience with safely modernizing legacy systems using parity testing and incremental routing patterns. IaC & Containerization: Hands-on experience packaging runtimes into portable containers and provisioning cloud resources using modern Infrastructure as Code tools. Team working / Collaboration: Experience of working with wider teams of Product Managers, Data Scientists, Engineers and non technical staff. We offer a comprehensive benefits package designed to support you as an individual. Our standard benefits include 25 days annual leave, pension contribution, income protection and life assurance. In addition, there are a range of health & wellbeing, financial benefits and professional development opportunities. We realise you may have commitments outside of work and will consider flexible working applications - please highlight what you are looking for when you make your application. We have a hybrid approach to work and ask people to be in the office or with clients for 3 days per week. We are committed to equality, treating people fairly, promoting a positive and inclusive working environment and ensuring we have diversity of people and views. We recognise that this is important for our business success - a more diverse workforce will enable us to better reflect and understand the world we research and ultimately deliver better research and insight to our clients. We are proud to be a member of the Disability Confident scheme, certified as Level 2 Disability Confident Employer. We are dedicated to providing an inclusive and accessible recruitment process. About Us Ipsos is one of the world's largest research companies and currently the only one primarily managed by researchers, ranking as a full-service research organization for four consecutive years. With over 75 different data-driven solutions, and presence in 90 markets, Ipsos brings together research, implementation, methodological, and subject-matter experts from around the world, combining thematic and technical experts to deliver top-quality research and insights. Simply speaking, we help the biggest companies solve some of their biggest problems, serving more than 5000 clients across the globe by providing research, data, and insights on their target markets. And we are proud of our continuous efforts in making Ipsos the best place to work!

About Ultralytics At Ultralytics, we commit to relentless innovation in the AI space and seek team members who resonate with our ambition to produce the world's best YOLO AI models. If you're obsessed with AI, eager to make an impact on the world and thrive in dynamic, high intensity environments, we invite you to apply for a position on our team. Location and Legalities This full time LLM Engineer position is based onsite in our brand new Ultralytics office in London, UK. Applicants must have legal authorization to work in the UK, as Ultralytics does not provide visa sponsorship. What You'll Do As an LLM Engineer at Ultralytics, you will spearhead the development and integration of advanced language model capabilities across our ecosystem. You will work on cutting edge projects that merge the power of Large Language Models (LLMs) with our state of the art computer vision technologies. Key responsibilities include: Developing and scaling robust LLM powered applications using a variety of APIs, including OpenAI, Anthropic, and Gemini. Implementing and managing multi API workflows using tools like LiteLLM to ensure flexibility and resilience. Building sophisticated Retrieval Augmented Generation (RAG) systems, leveraging advanced techniques like embeddings with Voyage AI, rerankers, and query enrichment. Designing and maintaining efficient data pipelines and vector storage solutions using MongoDB Atlas Vector Search. Fine tuning LLMs on custom datasets to enhance performance for specialized tasks related to our documentation and user support. Collaborating with our YOLO development team to explore and build innovative multi modal solutions. Automating deployment and testing processes using CI/CD pipelines with GitHub Actions. Your work will directly enhance the Ultralytics HUB platform and empower our global community of developers and researchers. Skills and Experience 5+ years of experience in software engineering, with a strong focus on AI and Machine Learning (ML). Expert level proficiency in Python and deep learning frameworks, particularly PyTorch. Proven experience building and deploying applications with LLM APIs such as OpenAI, Anthropic, Gemini, and DeepSeek. Hands on experience with the full RAG pipeline, including vector embeddings, rerankers, and data indexing in databases like MongoDB. Practical knowledge of LLM fine tuning, prompt engineering, and performance optimization. Familiarity with MLOps principles and tools, including CI/CD with GitHub Actions. A strong interest in computer vision and an understanding of object detection models like Ultralytics YOLO11 is a significant plus. Excellent problem solving skills and the ability to perform in a fast paced, high intensity environment. Cultural Fit - Intensity Required Ultralytics is a high performance environment for world class talent obsessed with achieving extraordinary results. We operate at a relentless pace, demanding exceptional dedication and an unwavering commitment to excellence, guided by our mission, vision, and values. Our team thrives on audacious goals and absolute ownership. This is not a conventional workplace. If your priority is predictable comfort or a standard work life balance over the relentless pursuit of progress, Ultralytics is not for you. We seek driven individuals prepared for the profound personal investment required to make a defining contribution to the future of AI. Compensation and Benefits Competitive Salary: Highly competitive based on experience. Startup Equity: Participate directly in our company's growth and success. Hybrid Flexibility: 3 days per week in our brand new office - 2 days remote. Generous Time Off: 24 days vacation, your birthday off, plus local holidays. Flexible Hours: Tailor your working hours to suit your productivity. Tech: Engage with cutting edge AI projects and contribute to leading open source software. Gear: Brand new Apple MacBook and Apple Display provided. Team: Become part of a supportive and passionate team environment. What we offer Cutting Edge next generation AI computer vision technology: contribute to building cutting edge computer vision AI models based on the YOLO framework. Impactful Work: Shape the future of AI powered solutions that transform industries. Collaborative Culture: Join a talented and passionate team that values open communication and innovation. Equal Opportunity & Diversity Statement Ultralytics is an equal opportunity employer and is committed to building an inclusive workplace. We believe that everyone should be able to bring their whole selves to work, and we do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status.

Position Overview Squarepoint is seeking smart, self-driven and inquisitive individuals who want an opportunity to apply their advanced skills and knowledge in a challenging and innovative environment. Projects within this role focus on developing and maintaining performance sensitive, reliable and scalable back ends which are critical to our trading infrastructure. You will work alongside experienced colleagues, in small groups, to design and build the next generation of production grade trading and research software systems. Step into a career of continuous learning and development, surrounded by some of the most talented individuals in the industry, and grow your skills in a highly collegiate work environment. When applying, you can indicate your preference for one or more of the following tracks. We will however work to ensure your role at Squarepoint is best suited to your skillset. Python Development: Applications, services, and data driven systems Projects within this track focus on developing and maintaining scalable services, full stack web applications, and data processing algorithms, tools, and frameworks. Build and maintain the core tooling, libraries, and frameworks we use for developing applications at Squarepoint, Manage the software development lifecycle of libraries and frameworks used globally by our teams of technologists, Contribute to data driven applications, pipelines, and systems used to feed predictive models in research and trading, Build software products used worldwide by traders, researchers, data scientists, and other teams at Squarepoint to fuel our trading success. C++ Development: Distributed, low latency, high performance systems Projects within this track focus on developing and maintaining performance sensitive, reliable and scalable back ends which are critical to our trading infrastructure. Work on high performance, low-latency systems powering critical trading operations, Drive the design and implementation of trading frameworks, market data solutions and global market connectivity, Build massively parallel, high-volume, distributed applications to enable our technology to scale as we grow, Create distributed frameworks, tools, and platforms which process massive volumes of data and underpin the stack used by other technology teams. Front-End Development: Build modern React web applications Projects within this track utilize your proficiency in React and Typescript to build crucial functionality for our users across the world. Enhance your users' experience on our sophisticated research and trading platforms, Collaborate with our expert team to develop fully fledged dashboards facilitating real time data access, and support the exploration of large volumes of data integral to our trading workflows and operations, Build web applications to drive rapid decision-making and uphold our competitive edge in a high stakes trading environment. Required Qualifications Degree in Computer Science, Computer Engineering, or other degree with a heavy emphasis on software development, Proficiency in at least one of our core languages: Python, C++, or KDB+/q, JavaScript/TypeScript/React, Some experience developing software in a commercial setting, demonstrated through work experience or personal projects, Knowledge of Linux and version control systems, Excellent written and verbal communication skills, Eagerness to continuously learn new technologies and develop with us, Ability to work well in a fast paced environment. Nice to have Proficiency in more than one of our core programming languages, Previous experience working in the hedge fund industry, or finance generally, Demonstrable experience working with git and Linux. The minimum base salary for this role is $100,000 if located in New York. This expectation is based on available information at the time of posting. This role may be eligible for discretionary bonuses, which could constitute a significant portion of total compensation. This role may also be eligible for benefits, such as health, dental, and other wellness plans, as well as 401(k) contributions. Successful candidates' compensation and benefits will be determined in consideration of various factors.

Application deadline: We accept submissions until 16 January 2026. We review applications on a rolling basis and encourage early submissions. The opportunity Join our new AGI safety monitoring team and help transform complex AI research into practical tools that reduce risks from AI. As a Full Stack Engineer, you'll work closely with our CEO, monitoring engineers and Evals team software engineers to build tools that make AI agent safety accessible at scale. We are building tools that monitor AI coding agents for safety and security failures. You will join a small team and will have significant ability to shape the team & tech, and have the ability to earn responsibility quickly. You will like this opportunity if You care about building tools that genuinely make AI agents safer and you thrive in high-paced environments and enjoy closely working with researchers. Tool Development Collaborate with the team lead to refine tool requirements, and translate them into technical specifications and architectures Design, develop, and maintain features across the full stack, from responsive front-end interfaces (e.g. using React) to scalable backend services in Python Write clean, well-tested, and maintainable code that meets our high standards for security and performance. Talk to users to understand their use-cases and needs Back-End Development Design and implement scalable backend services that can process and analyze large volumes of AI agent logs Implement RESTful APIs and data processing pipelines for AI agent logs Implement secure API endpoints that allow users to integrate our tools into their workflows Build monitoring and logging systems to ensure reliability and performance Front-End Development Build intuitive user interfaces that help users understand and act on AI agent safety & security evaluations Develop interactive data visualizations that effectively communicate complex AI behaviors, e.g. hour-long coding agent trajectories Ensure responsive design and cross-browser compatibility for users Implement authentication, authorization, and other security measures to protect sensitive users data Collaboration & Communication Work side-by-side with our researchers and software engineers. We're "our own customer" since our researchers use our tools Participate in code reviews to maintain high code quality Document technical decisions and implementations to facilitate knowledge sharing Contribute to technical discussions about architecture, technology choices, and implementation approaches Help the monitoring team grow by sharing your own knowledge, offer thoughtful feedback and participate in trade off discussions Job Requirements 3+ years experience as a Full Stack Engineer building production applications Strong proficiency in front-end development, e.g. JavaScript/TypeScript or ReactSolid Python experience for backend development with frameworks like FastAPI, Flask, or Django Experience designing RESTful APIs and working with databases, e.g. using SQL Familiarity with cloud services and containerization technologies, e.g. Docker, AWS, Google Cloud Strong problem-solving skills and ability to learn new technologies quickly Bonus Has taken a product from 0 to 1, from conception to production Has been responsible for the development of a tool, e.g. leading engineer Familiarity with ML/AI concepts or developer tools for AI applications Experience with evaluation frameworks for AI systems Previous work on developer tools or APIs, e.g. B2B SaaS tools Experience building data streaming, data processing or observability tools Experience building software for security use cases. What you'll accomplish in your first year Develop and scale at least one monitoring tool. We have an MVP of our AI agent safety & security monitoring tool and now want to scale it from 0.5 to 1 and beyond. Build scalable, production-ready infrastructure for processing and analyzing AI agent trajectories, ensuring our systems can handle high throughput from our users, in a secure and stable manner. Create intuitive visualizations and dashboards that translate complex AI safety metrics into actionable insights for technical (e.g. CISOs) and non-technical stakeholders alike. Representative Project AI agent real-time monitoring system: AI agents are already deployed at scale. Often they are not or only barely monitored, missing critical failures. The natural response to this is to build monitors that constantly scale agent outputs and alert developers and/or security teams about potential risks. We will cover hundreds of failure modes in AI safety and security and build out many kinds of monitors (e.g. hierarchical, ensembles, agentic). Benefits Salary: 100k - 180k GBP ( 135k - 245k USD) Flexible work hours and schedule Unlimited vacation Unlimited sick leave Lunch, dinner, and snacks are provided for all employees on workdays Paid work trips, including staff retreats, business trips, and relevant conferences A yearly $1,000 (USD) professional development budget Logistics Start Date: Target of 2-3 months after the first interview Time Allocation: Full-time Location: The office is in London, and the building is next to the London Initiative for Safe AI (LISA) offices. This is an in-person role. In rare situations, we may consider partially remote arrangements on a case-by-case basis. Work Visas: We can sponsor UK visas Equality Statement Apollo Research is an Equal Opportunity Employer. We value diversity and are committed to providing equal opportunities to all, regardless of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, or sexual orientation.

Role Summary We areseekinga skilled and passionate Threat Researcher with deepexpertiseinWindows basedthreatbehaviors, particularly having a strong understandingonmemory-resident threats. In this role, you will be at the forefront of detecting and understanding emerging attack techniques, developing behavioral-based protection strategies, and enhancing our real-time protection capabilities. Your insights and contributions will directlyimpact onthe security posture of millions of users worldwide. What You Will Do Analyze malware behaviors aligned with MITRE ATT&CK TTPs (and beyond), covering the full attacklifecycle,including initial access vectors, executiontechniques,payload delivery-with a strong focus on in-memory techniques, fileless malware, and evasive behaviors. Research andidentifybehavioral techniques employed by novel and sophisticated Advanced Persistent Threats (APTs) andtranslate these insights into effective behavioral protection rules to enhance prevention capabilities. Drive protection coverage for zero-day malware and novel attack techniques. Work independently with minimal supervision while managing priority protection tasks. Review and provide actionable feedback on detection logic and code developed by fellow researchers. Collaborate with the team to define clear protection priorities and deliver updates to customersin a timely manner. Produce quality threat analysis reports for both internal and external audience. What You Will Bring Proven hands-on experience in Windows based malware analysis using both static and dynamic analysis tools such as usingIDAProandWindbg. Deep understanding of behavioral techniques, memory injection methods, persistence mechanisms, and evasion tactics. Ability to write robust, high-quality behavioral protection rules. Demonstrated programming experience, preferably Python, Lua. Experience working in a fast-pacedthreatresearch or security operations environment. Strong communication skills and the ability to provide technical mentorship to peers. Proactive, self-driven mindset with the ability to lead in criticalincidentor zero-day response scenarios. In Canada, the base salary for this role ranges from $129,000 to $215,000. In addition to base salary, we offer additional compensation including bonus eligibility and a comprehensive benefits package. A candidate's specific pay within this range will depend on a variety of factors, including job-related skills, training, location, experience, relevant education, certifications, and other business and organizational needs. Ready to Join Us? At Sophos, we believe in the power of diverse perspectives to fuel innovation. Research shows that candidates sometimes hesitate to apply if they don't check every box in a job description. We challenge that notion. Your unique experiences and skills might be exactly what we need to enhance our team. Don't let a checklist hold you back -we encourage you to apply. What's Great About Sophos? Sophos operates a remote-first working model, making remote work the primary option for most employees. However, some roles may necessitate a hybrid approach. While we are a remote first organization, applicants must have legal authorization to work in the jurisdiction where the position is posted, without requiring employer sponsorship. Our people - we innovate and create, all of which are accompanied by a great sense of fun and team spirit Employee-led diversity and inclusion networks that build community and provide education and advocacy Annual charity and fundraising initiatives and volunteer days for employees to support local communities Global employee sustainability initiatives to reduce our environmental footprint Global fitness and trivia competitions to keep our bodies and minds sharp Global wellbeing days for employees to relax and recharge Monthly wellbeing webinars and training to support employee health and wellbeing Our Commitment To You We're proud of the diverse and inclusive environment we have at Sophos, and we're committed to ensuring equality of opportunity. We believe that diversity, combined with excellence, builds a better Sophos, so we encourage applicants who can contribute to the diversity of our team. All applicants will be treated in a fair and equal manner and in accordance with the law regardless of gender, sex, gender reassignment, marital status, race, religion or belief, color, age, military veteran status, disability, pregnancy, maternity or sexual orientation. We want to give you every opportunity to show us your best self, so if there are any adjustments we could make to the recruitment and selection process to support you, please let us know. Data Protection If you choose to explore an opportunity, and subsequently share your CV or other personal details with Sophos, these details will be held by Sophos for 12 months in accordance with our Privacy Policy and used by our recruitment team to contact you regarding this or other relevant opportunities at Sophos. If you would like Sophos to delete or update your details at any time, please follow the steps set out in the Privacy Policy describing your individual rights. For more information on Sophos' data protection practices, please consult our Privacy Policy Cybersecurity as a Service Delivered Sophos

Applications deadline: We accept submissions until 15 January 2026. We review applications on a rolling basis and encourage early submissions. ABOUT THE OPPORTUNITY We're looking for Full-stack Software Engineers who are excited to build tools for frontier AGI safety research, e.g. building and maintaining evals libraries and tools for monitoring and controlling our own LLM traffic. REPRESENTATIVE PROJECTS Your main objective is to develop tooling for analyzing model evaluation results. Here is a list of features that you might build and ship in your first 6 months: LLM-powered search that finds interesting fragments in evaluation transcripts Comparison views that show how conversations and scores differ between two evaluation runs Ability to view and analyse conversations with coding agents (Cursor, Claude Code, etc.) in addition to evaluation transcripts Results streaming for evaluations that are currently being run Collaborative editing of evaluation logs that automatically updates metrics and other derived data. Think of this as developing an "IDE for evaluations". Besides this, here are example auxiliary projects which you might do: Automated evaluation pipelines to minimize the time from getting access to a new model for pre-deployment testing to analyzing the most important results and sharing them. LLM agents and MCP tools to automate internal software engineering and research tasks, with sandboxes to prevent major failures Telemetry API and instrumentation of our existing tools, allowing us to monitor usage and improve reliability Upstream improvements to the Inspect framework and ecosystem, e.g. support for evaluating modern agentic scaffolds. KEY RESPONSIBILITIES Balance between moving quickly and creating robust and performant software Lead the development of major features from ideation to implementation Support the entire user journey from running the evaluation to finding interesting results to analysing the results to producing reports and papers Make the software configurable and extensible, so that users can adapt it for their needs Collaboratively define and shape the software roadmap and priorities Establish and advocate for good software design practices, codebase health, and coding agent practices Work closely with researchers to understand what challenges they face Work closely with the product team to create solutions that satisfies both our researchers and external customers KEY REQUIREMENTS You must have experience writing production-quality Python and React code We value candidates from diverse backgrounds and recognise that candidates may demonstrate their skills in different ways. For example, we might be impressed if you have: Led the development of a successful software tool or product over an extended period (e.g. 1 year or more) Started and built the tech stack for a company, e.g in a start-up Worked your way up in a large organisation, repeatedly gaining more responsibility and influencing a large part of the codebase Authored and/or maintained a popular open-source tool or library Placed in a prestigious programming competition (IOI, ICPC, etc.) 5+ years of professional software engineering experience The following would be a bonus: Experience designing rich and intuitive UIs, especially for power users Direct work with researchers or customers Experience working with LLM agents or LLM evaluations Interest in AI Safety We want to emphasize that people who feel they don't fulfill all of these characteristics but think they would be a good fit for the position nonetheless are strongly encouraged to apply. We believe that excellent candidates can come from a variety of backgrounds and are excited to give you opportunities to shine. LOGISTICS Start Date: Target of 2-3 months after the first interview Time Allocation: Full-time Location: The office is in London, and the right next to the London Initiative for Safe AI (LISA) offices. This is an in-person role. In rare situations, we may consider partially remote arrangements on a case-by-case basis. Work Visas: We can sponsor UK visas BENEFITS Salary: 100k - 200k GBP ( 135k - 270k USD) Flexible work hours and schedule Unlimited vacation Unlimited sick leave Lunch, dinner, and snacks are provided for all employees on workdays Paid work trips, including staff retreats, business trips, and relevant conferences A yearly $1,000 (USD) professional development budget ABOUT THE TEAM The SWE team currently consists of Rusheb Shah, Andrei Matveiakin, Alex Kedrik, and Glen Rodgers. Beyond the SWE team, you will closely interact with the research scientists and engineers as the primary user group of your tools. You can find our full team here. ABOUT THE APOLLO RESEARCH At Apollo Research, we're primarily concerned with risks from Loss of Control, i.e. risks coming from the model itself rather than humans misusing the AI. We're particularly concerned with deceptive alignment / scheming, a phenomenon where a model appears to be aligned but is, in fact, misaligned and capable of evading human oversight. We work on the detection of scheming (e.g. building evaluations), the science of scheming (e.g. model organisms), and scheming mitigations (e.g. anti scheming, and control). We closely work with multiple frontier AI companies, e.g. to test their models before deployment or collaborate on scheming mitigations. At Apollo, we aim for a culture that emphasizes truth seeking, being goal oriented, giving and receiving constructive feedback, and being friendly and helpful. If you're interested in more details about what it's like working at Apollo, you can find more information here. Equality Statement: Apollo Research is an Equal Opportunity Employer. We value diversity and are committed to providing equal opportunities to all, regardless of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, or sexual orientation.

About the company the company's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role the company is hiring Technical Architects: hands-on builders and live technical communicators who help our customers go from "we bought Claude" to "our people use it every day." You'll be the technical partner our CSMs pull into the room whenever the work gets technical. For our customers, that's most of the time. One week you're running an advanced Claude Code hackathon for 1000 engineers at a global bank. The next you're on a call with their CISO walking through data handling, SSO, and governance controls. The week after, you're pair-building a plugin with a customer's platform team and debugging a SCIM sync live while thirty people watch. You are the helper people look for. This is a post-sale role. You'll work alongside CSMs, Applied AI, Support, FDEs, and more. We're looking for technologists who could have been researchers or staff engineers, but who get the most energy from helping customers get unstuck by teaching them something new. What you'll do Be the technical lead in customer-facing moments across the post-sale journey: onboarding workshops, developer hackathons, live troubleshooting, executive security reviews, adoption working sessions. Build and ship working software (Claude Code plugins, agents, sub-agents, MCP integrations, Cowork skills) both as customer deliverables and as reusable field assets. Drive adoption of the Claude Code capabilities that make the product stick (sub-agents, skills, hooks, MCP, headless mode, managed settings) and turn new capabilities into field-ready demos and guides within days of release. Own enterprise deployment and identity conversations: SSO (SAML/OIDC), SCIM provisioning, role, seat, and spend-limit management, sandbox and permission design. Sit credibly across from CISOs and security architects. Advise and unblock customers running production workloads on the the company API and on Bedrock / Vertex, in close partnership with Applied AI. Teach. Design and deliver enablement that turns users into daily active developers, for audiences ranging from senior staff engineers to business users new to AI and develop the customer champions who carry adoption after you leave the room. Represent the company at customer all-hands and builder events, and bring structured field signal back to the Claude Code and Cowork product teams. Partner tightly with CSMs as their technical counterpart, and with Applied AI, security specialists, Product Support, Engineering, and Sales as the connective technical tissue of the account. What we're looking for You build. You've shipped real software, you've used Claude Code or comparable AI coding tools yourself, and you can stand behind your engineering choices. You hold the room. You're at ease being the technical voice in front of senior developers, IT and security leaders, and non-technical stakeholders (often in the same hour), and you stay calm and useful when something breaks live. You like the messy middle. You're comfortable being pulled into an ambiguous customer situation and developing a solution in real time. You're service-oriented. Helping a colleague or a customer get unstuck is the part of the day you look forward to. You can travel. Expect regular on-site time with customers. You think about responsible use. You've built with LLMs hands-on and you have an instinct for how they should be used responsibly and effectively inside organizations of all shapes and sizes. What you'll learn How Claude is served. We'll teach you the service delivery side of the company - how inference runs behind the API and Claude Code, and what drives capacity, latency, and reliability - so you can walk a customer's engineering and security teams through it at whatever depth the conversation and our agreements allow. Nice to have Hands-on depth with enterprise identity (SAML, OIDC, SCIM) across major IdPs (Okta, Entra ID, Ping, Google Workspace, etc.) and with security review processes (SOC 2, ISO 27001, HIPAA, FedRAMP). Experience running on or supporting Bedrock / Vertex / multi-cloud LLM deployments. Experience with regulated customers (financial services, healthcare, public sector) and delivering alongside SI/GSI partners. A track record of public technical communication: YouTube, TikTok, Instagram, blogs, in-person talks, workshops, courses, writing, seminars. Time spent in a pre-sales solutions, post-sales, support, implementation, or technical account role. Logistics 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: £180,000 - £225,000 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 encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that the company recruiters only contact you email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of the company. Be cautious of emails from other domains. Legitimate the company recruiters will never ask for money, fees, or banking information before your first interview.

Cambridge, UK Full-time Permanent Hybrid We will also consider part-time applications for this role. Please indicate your preferred working schedule in your cover letter. About us Riverlane's mission is to master quantum error correction (QEC) and unlock a new age of human progress. From advances in material and climate science, to complex chemistry simulation for new drug design, quantum computers will help humanity solve some of its most important challenges. But without QEC, the industry's defining technical challenge, such breakthroughs can never be achieved. Riverlane is the world leader in QEC technology. QEC is a complex problem that requires a range of skills, talent and passion. Having raised more than $125M in funding to date to accelerate our cutting edge R&D in quantum error correction (QEC), Riverlane partners with many of the world's leading quantum hardware providers and government agencies to make fault tolerant quantum computing a reality. We are making remarkable progress and growing fast. About the role Deltakit is Riverlane's open source software development kit (SDK) for QEC which is designed to help researchers build, test and run QEC workflows as the field of quantum computing rapidly evolves. You'll sit right at the heart of Deltakit, working closely with users, partners and cross functional teams to deeply understand real world challenges and translate them into a compelling product direction. You'll use a blend of user insight, product data and market context to cut through complexity and focus on what matters most. You'll own and evolve Deltakit's strategy and roadmap, bringing together engineering, research, business development and marketing around a shared vision. You'll strike the balance between bold, long term ambition and what's realistically achievable today, helping us build for the future of quantum computing while delivering value right now. Beyond the roadmap, you'll play a key role in bringing Deltakit to life for the community. From supporting launches to engaging directly with users, you'll shape how we show up, tell our story, and communicate the product's value in a way that excites and inspires people to build with it. What you will do Engage with users, partners and the open source community to gather insight and feedback Analyse product usage, developer behaviour and the broader ecosystem to inform priorities Define and communicate product vision, strategy and roadmap Prioritise features and improvements to drive developer adoption and engagement Align cross functional teams and guide product and technical trade offs Develop product collateral, and ensuring strong documentation and onboarding experiences Monitor delivery progress and adapt plans as needed Drive community engagement and identify opportunities for growth and new use cases What we need Experience working in a B2B product role, or a closely related position with ownership of product direction and prioritisation Experience operating in a deep tech environment with complex, evolving problems A degree in engineering or science, or equivalent practical experience Confidence going technically deep to understand product capabilities, limitations and real world usage The ability to navigate complex trade offs and shape product strategies that balance user value with feasibility High emotional intelligence, with strong active listening, critical thinking and creative problem solving skills The ability to work cross functionally, influencing without authority and building trusted relationships Comfort working in ambiguity and adapting direction in a fast paced, evolving environment Excitement for building a product in a new space within technology Excellent communication, presentation and documentation skills, with the ability to tailor to your style to different audiences A proactive mindset, able to identify opportunities and take initiative to drive improvements Even better if you have Experience working on open source software products Experience building software products that interface with hardware products Experience shipping developer tools (SDKs, libraries, APIs, or CLIs) What can you expect from us A comprehensive benefits package that includes an annual bonus plan, private medical insurance, life insurance, and a contributory pension scheme Equity, so that our team can share in the long term success of Riverlane 28 days annual leave, plus bank holidays and enhanced family leave A diverse work environment that brings together experts in many fields (including software and hardware development, quantum information theory, physics and maths) and over 20 different nationalities A learning environment that encourages individual, team and company growth and development, including a regular programme of learning events and training and conference budgets Everyone is welcome at Riverlane. We are an equal opportunities employer and encourage applications from eligible and suitably qualified candidates regardless of age, disability, ethnicity, gender, gender reassignment, religion or belief, sexual orientation, marital or civil partnership status, or pregnancy and maternity/paternity. Women and other underrepresented groups may be less likely to apply for a role unless they meet all or nearly all of the requirements. If this applies to you, we still encourage you to apply - you may be a great fit, even if you don't meet every single qualification. We'd love to hear from you. If you need any adjustments made to the application or selection process so you can do your best, please let us know. We will be happy to help. GDPR notice: Riverlane collects and processes personal data in accordance with applicable data protection laws. If you are a European Job Applicant see the privacy notice for further details.

About Graphcore How often do you get the chance to build a technology that transforms the future of humanity? Graphcore products have set the standard in made-for-AI compute hardware and software, gaining global attention and industry acclaim. Now we are developing the next generation of artificial intelligence compute with systems that will allow AI researchers to develop more advanced models, help scientists unlock exciting new discoveries, and power companies around the world as they put AI at the heart of their business. Graphcore recently joined SoftBank Group - bringing large and ongoing investment from one of the world's leading backers of innovative AI companies. Job Summary We are looking for a Senior Network Engineer to join our Cloud Platform Team and help develop and deploy clouds and services. Working closely with our colleagues in Software Platform, Datacentre Operations and Product Development teams, you will deploy services on our fleet of cutting edge AI systems. As part of our Software Platform organisation, you will be involved in the cloud integration, validation, performance benchmarking, optimisation, and development of our high-performance AI solutions. These include in-house AI systems alongside off the shelf high-performance servers, switches and storage solutions. This is a hands on technical role requiring a solid background in the use of cloud infrastructure, deployment using Infrastructure as Code, observability, high-performance networking and storage systems. You may have been working in an IT organisation, a datacentre, a cloud provider or as a developer of orchestration or cloud services. The Software Platform team at Graphcore We build Graphcore products into large-scale AI solutions for our customers and the Cloud Platform Team is responsible for providing such systems to both internal users via private clouds and customers via our own public clouds. Often the internal systems will be using and developing pre-release hardware and software, so it's vital you are comfortable with unproven components. Responsibilities and Duties Develop and operate high-performance ethernet infrastructure on our private clouds and support internal users in their use. You will turn end user and product requirements into deployed services. Help to build automation to collect and analyse metrics and other data from the network infrastructure to support clear identification and reporting of any issues. Work with users to provide information of any product related issues to Engineering and QA departments. Work with our Datacentre Operations Engineers to maintain, tune and operate the fleet of AI systems at peak performance in our private clouds. Work with external vendors of off the shelf switches, servers and storage solutions to integrate third party products into our Cloud Reference Design, with a focus on network performance, automation and resilience. Skills and Experience (all required) Bachelor's degree or equivalent practical experience in a relevant subject. Significant hands on experience with one or more vendor's high end (100Gb/s+) Ethernet switch solutions. Experience managing on premises or private cloud environments. Solid software engineering or IT experience with a proven track record of delivering technical output as an individual contributor. Experience working in an AGILE and SCRUM framework, including understanding of priorities, risks, issues, impacts and constraints. Strong proven Linux scripting ability (bash, python, awk, sed). Strong proven Linux system administration (Ubuntu, RHEL and variants). Experience with a version control system (preferably Git) and using it to manage system configuration or automation. Experience with Continuous Integration or testing pipelines using GitLab, GitHub or similar. A solid hands on understanding of the technologies underpinning cloud services (APIs, virtualization of CPUs, IO, systems) and how they relate to high-performance networking. Experience with IAC automation tools (Terraform/OpenTofu, Ansible). Experience with container deployment and management tools (e.g. docker). Experience with solutions for monitoring and observability e.g. Grafana, Prometheus, OpenSearch/ElasticSearch, Loki. Good communication and presentation skills, and experience dealing with end users of IT services. An ability to work independently on critical infrastructure with minimal oversight, and with a focus on end user availability. Desirable but not required Experience with OpenStack cloud platforms. Experience with High Performance Computing (HPC) environments using SLURM or similar batch workload solutions. Experience with hardware offloading on RDMA capable NICs and how that integrates with virtual networking on Open vSwitch, KVM/QEMU. Experience with managing production Kubernetes clusters and workloads with an automation tool such as ArgoCD. Benefits In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we're committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. Sponsorship Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications.

Taunton, United Kingdom Posted on 08/06/2026 Scrumconnect Consulting is a multi-award-winning digital consultancy, recognised for delivering impactful and innovative technology solutions across UK government departments. Our work has positively influenced the lives of over 40 million UK citizens. We are passionate about user-centred design, agile delivery, and building digital services that make a real difference. Our teams work at the forefront of innovation, helping organisations transform and deliver high-quality, scalable solutions that truly matter. Role Overview We are seeking a highly experienced Senior Software Developer with proven expertise in delivering services aligned with UK Government Digital Service (GDS) standards. You will play a critical role in designing, building, and scaling secure, accessible, and user-centric digital services for public sector or GDS-aligned environments. Key Responsibilities Architect, design, and develop cloud-native applications using Java (Spring Boot) and AWS Build responsive, accessible Front End applications using React and GOV.UK Design System Deliver services aligned with GDS Service Standard and Technology Code of Practice Lead development across all phases: Discovery, Alpha, Beta, and Live Ensure compliance with accessibility (WCAG 2.1) and performance standards Implement CI/CD pipelines and DevOps best practices Collaborate with Product Managers, Designers, and User Researchers in agile teams Integrate with GOV.UK platforms (Pay, Notify, One Login) Conduct code reviews, enforce best practices, and mentor team members Ensure security, scalability, and resilience of applications Required Skills & Experience Core Technical Skills Strong experience in one or more languages: Java/Node.js/Python/.NET Frontend experience with: React/Angular/Vue.js Experience with RESTful APIs and microservices architecture Cloud platforms: AWS/Azure/GCP (preferably AWS for GDS projects) CI/CD tools: Jenkins, GitHub Actions, GitLab CI GDS-Specific Experience Hands-on experience delivering projects aligned with UK GDS standards Strong understanding of: Service Manual Technology Code of Practice Design System (GOV.UK Design System) Experience preparing for and passing GDS service assessments Familiarity with public sector procurement and delivery environments Soft Skills Strong stakeholder communication and leadership skills Ability to work in fast-paced, agile teams Problem-solving mindset with attention to detailPassion for building user-centric digital services Diversity & Inclusion At Scrumconnect Consulting, we believe that diversity drives innovation and better outcomes. We are committed to fostering an inclusive environment where every individual is valued, respected, and supported. We welcome applications from candidates of all backgrounds and actively encourage individuals from underrepresented groups, including women, people with disabilities, and diverse communities, as well as those seeking flexible working arrangements. As a Disability Confident Level 1 employer, we are committed to providing reasonable adjustments throughout the recruitment process and during employment to ensure equal opportunities for all.