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

About the role This is a senior, foundational role on a new team: you'll make architecture decisions that the rest of the team builds on and help shape what we build first. The work is hands on and varied. Some weeks you'll be deep in pipeline or infrastructure engineering; others you'll be tuning prompts until the output is good or sitting with a research team that depends on your systems and shipping the fixes they need. We are looking for experienced engineers who own outcomes end to end - down to reading transcripts, supporting users, and wrangling vendors. The company's RL Data team builds the systems that produce high quality reinforcement learning data for Claude: data collection pipelines, human feedback tooling, the execution environments RL tasks run in, and the quality assurance that keeps training data trustworthy at scale. Our goal is to make Claude great at real work - especially the work that matters most, like AI safety research and beneficial deployments of AI. (To be upfront: this is dual use work - it advances general capabilities too.) Key responsibilities Own significant parts of our stack end to end, from technical architecture through the unglamorous operational work that makes it succeed. Build data collection pipelines, read the transcripts they produce, and iterate on prompts, evals, and graders until the output is good. Develop and improve QA frameworks to catch reward hacking and ensure environment quality. Build interfaces that make collecting human data fast and painless for the people providing it. Harden execution environments - sandboxing, snapshotting, tool coverage - so tasks hold up at training scale. Embed with the teams and domain experts who use our systems day to day, and work with operations, security, and compliance partners to roll our systems out to new users and vendors. Minimum qualifications A track record of owning major projects end to end in fast paced, ambiguous environments - for example as a founder or CTO, forward deployed engineer, tech lead, founding engineer at a startup, or creator of a substantial open source project. Trusted to run key projects: you lead and inspire others, plan workstreams effectively, collaborate with cross functional stakeholders, and proactively eliminate or escalate blockers. Strong software engineering skills in at least one modern programming language - we mostly use Python and TypeScript, but care more about quickly picking up new tools than knowing our exact stack. Familiarity with Docker, Kubernetes, and common cloud infrastructure is a plus. Effective use of AI tools in your own day to day work. Care about the societal impacts of your work. Preferred qualifications Experience with reinforcement learning on LLMs, particularly on the data side: creating evals, environments, rewards, graders, or training data. Experience helping organizations use AI more effectively, including integrating with third party tools via APIs, CLIs, and MCP servers. Strong data engineering skills: pipelines that handle large volumes reliably in production, LLM powered enrichment steps, and a focus on improving data quality. Experience shipping user facing products or internal platforms people love: interviewing users, hunting down friction, measurably improving the experience. Basic familiarity with AI safety or security research. Representative projects Take a data collection pipeline from research prototype to a production service that serves many research teams - collection, human validation, grading, and everything in between. Own the program of developing sandboxed execution environments realistic enough for long horizon, high tool use agentic tasks - and harden them so they behave correctly across millions of rollouts in a frontier training run. Bring a new data source online - from first conversation with a partner organization to data flowing into production training runs - coordinating with product, security, privacy, legal, and infrastructure teams along the way. Own the QA layer that decides which tasks make it into Claude's training: automated checks and expert review flows (a busy domain expert should be able to validate a task in under five minutes) that hold up when a frontier model learns to game them. Cut the time from 'rough task idea' to 'task in a production training run' from days to hours. You'd own the direction: figure out where the bottlenecks actually are, then automate, redesign, or delete the steps in the way. Compensation Annual Salary: $320,000 - $485,000 USD Logistics Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience. Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience. Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position. Location based hybrid policy: We expect all staff to be in one of our offices at least 25% of the time. Some roles may require more time in our offices. Visa sponsorship: We do sponsor visas and will make every reasonable effort to obtain a visa if you receive an offer. Benefits Competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space for collaboration.

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We're training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company co-headquartered in Toronto and San Francisco, with key offices in London, New York City, Montreal, Seoul, Germany and Paris. Join us! Please note that this is not a live role. We are grateful for your enthusiasm and interest in Cohere and encourage you to submit your resume for future consideration. Should a suitable position become available, we will review your application and reach out to discuss potential opportunities. Why this role? Design and implement novel research ideas, ship state of the art models to production, and maintain deep connections to academia. We have one of the highest ratio of compute to engineers in the world. We do not delineate strongly between engineering and research. Everyone will contribute to writing production code and conducting research depending on individual interest and organizational needs. We have all the compute, data, and talent available for you to do your best work. Please Note: We have offices in Toronto, London, Paris, San Francisco and New York but also embrace being remote-friendly! There are no restrictions on where you can be located for this role. As a Member of Technical Staff, you will: Design, build and scale AI systems for serving our users. Research, implement, and experiment with ideas on our supercompute and data infrastructure. Learn from and work with the best researchers in the field. You may be a good fit if you have: Extremely strong software engineering skills. Proficiency in Python and related ML frameworks such as Tensorflow, TF-Serving, JAX, and XLA/MLIR. Experience writing kernels for GPUs using CUDA. Experience using large-scale distributed training strategies. Familiarity with autoregressive sequence models, such as Transformers. Bonus : paper at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP). This is not an exhaustive nor necessary set of attributes. Even if none of these apply to you, but you believe you will contribute to Cohere, please reach out. We have a wide variety of backgrounds at Cohere. Full-Time Employees at Cohere enjoy these Perks: A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. Full health and dental benefits, including a separate budget for mental health. RRSP matching, 401K, Pension Scheme. 100% Parental Leave top-up for up to 6 months, for either parent. Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. 6 weeks of paid vacation (30 working days!) Budget for traveling to other offices if you are remote, plus an annual company offsite. How and Where We Work: Cohere is remote-friendly. We have offices in Toronto, San Francisco, New York City, London, Paris, Montreal, and more coming soon. For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. For those not near an office: a co-working benefit so you can work alongside others in your city. Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn't line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it does not limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from email alias. If jobs are viewed on other sites then please verify these through our official careers page.

The Arctic is a place of extremes: unforgiving, untamed, and undergoing rapid change. A literal defrosting reveals a multi-trillion-dollar opportunity spanning energy, defence, logistics, research, and infrastructure. ARD was founded on a paradox. The Arctic is both the next great economic frontier and one of the most hostile environments on Earth. Rich in resources and strategically vital, yet bone-chillingly cold, dark for months, and fundamentally inhospitable to humans. This paradox-an explosion of activity in a place that resists human presence-is why we exist. Our solution is autonomy. We build systems that operate reliably and intelligently in the Arctic, so that humans don't always have to. Founded by record-holding pioneers with decades of polar experience, we take calculated risks on hard problems that matter. If you want to build and deploy ground-up technology with real-world impact, at an inflection point in history that won't reappear, we'd like to talk. The role We're hiring our first Product Security Engineer. Security Engineering at ARD blends sharp technical skill, an attacker's mindset, and tangible real-world stakes. You'll operate across our entire hardware and software product suite - cloud infrastructure, applications, identity systems, and the autonomous products we field - spotting and cutting down the risks that actually matter. The systems we run and the data we hold call for a security approach that's thorough, flexible, and woven into everything we do. Your work will directly underpin the trust partners, customers, and the public place in us, while keeping our teams free to build and ship with confidence. Given how high the stakes are at ARD, this is core to delivering our mission the right way. CORE RESPONSIBILITIES Spot, evaluate, and rank security risks across our systems, products, and infrastructure - separating hypothetical worries from genuine threats to the business Build and roll out practical security controls across cloud platforms, applications, products, and data, and help engineering teams do likewise Build and use threat models to catch architectural weak points, trust boundary gaps, and failure modes before they turn into incidents Work alongside engineering, product, and operations teams as a trusted security partner - offering patterns, guidance, and guardrails rather than acting as a gatekeeper Play a part in detecting, investigating, and containing security incidents, and push for lasting fixes based on what we learn Cut down on manual, reactive security work through automation, better tooling, and secure-by-default habits built into how we develop and run systems Apply technical rigour to assurance work like audits, certifications, and customer security reviews - making sure our controls hold up in practice, not just on paper WHAT WE VALUE Deep, hands-on skill in one or two security domains - application security, cloud security, identity and access management, cryptography, detection and response, or platform security - backed by real evidence of impact An instinct for trust boundaries, failure modes, blast radius, and attacker behaviour, rather than viewing vulnerabilities in isolation A knack for turning complex security risk into terms that land with engineers, product managers, and senior leadership alike, and for shaping outcomes through persuasion rather than title A risk-based approach - weighing decisions proportionately under uncertainty, and always asking whether the work cuts real risk rather than just checking a compliance box Comfort juggling multiple teams and technical domains at once without losing quality or judgement A history of finding gaps and pushing security fixes through to completion, even in messy or loosely defined problem spaces BONUS POINTS Time spent in or around regulated, high-assurance, or defence-adjacent settings where security demands are intricate and failure carries real weight Practical offensive security background - red teaming, penetration testing, or adversarial simulation - that shapes how you think about defensive design and threat modelling Awareness of security issues unique to AI or machine learning systems, such as model integrity, data pipeline security, or adversarial ML A hand in building security programmes at scale - security champions networks, secure development lifecycle tooling, or company-wide risk frameworks A background in cloud-native security engineering, especially across AWS, GCP, or Azure, spanning infrastructure-as-code, container security, and cloud identity patterns Some exposure to supply chain security issues, such as dependency management, build pipeline integrity, or third-party component assurance Experience working with classified data, government security frameworks, or cross-domain security requirements WHAT WE OFFER Competitive compensation Equity - meaningful options as an early employee at an early-stage company Real field exposure - travel to Arctic sites and Outposts when needed (genuinely, not as a gimmick) Mission-driven culture - focus on impact, not hours logged Small team, real ownership - what you build matters and ships A note on who we want to hear from We're building for one of the most demanding environments on Earth and we believe diverse teams build more resilient systems. We actively welcome applications from people who are underrepresented - whether that's by gender, ethnicity, disability, or background.

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We're training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company co-headquartered in Toronto and San Francisco, with key offices in London, New York City, Montreal, Seoul, Germany and Paris. Join us! Please note that this is not a live role. We are grateful for your enthusiasm and interest in Cohere and encourage you to submit your resume for future consideration. Should a suitable position become available, we will review your application and reach out to discuss potential opportunities. Why this role? Design and implement novel research ideas, ship state of the art models to production, and maintain deep connections to academia. We have one of the highest ratio of compute to engineers in the world. We do not delineate strongly between engineering and research. Everyone will contribute to writing production code and conducting research depending on individual interest and organizational needs. We have all the compute, data, and talent available for you to do your best work. Please Note: We have offices in Toronto, London, Paris, San Francisco and New York but also embrace being remote-friendly! There are no restrictions on where you can be located for this role. As a Member of Technical Staff, you will: Design, build and scale AI systems for serving our users. Research, implement, and experiment with ideas on our supercompute and data infrastructure. Learn from and work with the best researchers in the field. You may be a good fit if you have: Extremely strong software engineering skills. Proficiency in Python and related ML frameworks such as Tensorflow, TF-Serving, JAX, and XLA/MLIR. Experience writing kernels for GPUs using CUDA. Experience using large-scale distributed training strategies. Familiarity with autoregressive sequence models, such as Transformers. Bonus : paper at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP). This is not an exhaustive nor necessary set of attributes. Even if none of these apply to you, but you believe you will contribute to Cohere, please reach out. We have a wide variety of backgrounds at Cohere. Full-Time Employees at Cohere enjoy these Perks: A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. Full health and dental benefits, including a separate budget for mental health. RRSP matching, 401K, Pension Scheme. 100% Parental Leave top-up for up to 6 months, for either parent. Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. 6 weeks of paid vacation (30 working days!) Budget for traveling to other offices if you are remote, plus an annual company offsite. How and Where We Work: Cohere is remote-friendly. We have offices in Toronto, San Francisco, New York City, London, Paris, Montreal, and more coming soon. For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. For those not near an office: a co-working benefit so you can work alongside others in your city. Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn't line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it does not limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from email alias. If jobs are viewed on other sites then please verify these through our official careers page.

Minimum qualifications: Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience. 8 years of experience with software development using Python or similar coding languages. Experience building pipelines for structured and unstructured data using both vector databases and RAG-like architectures to power enterprise AI solutions. Experience taking production-grade AI-driven solutions from conception to launch, and architecting AI systems on cloud platforms (e.g., the company Cloud Platform). Experience leading technical discovery sessions with customers. Ability to communicate in French or German fluently as this is a customer-facing role that requires interactions in French or German with local stakeholders. Preferred qualifications: Master's degree or PhD in AI, Computer Science, or a related technical field. Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation). Experience in a post-sales or technical consulting delivery function. Knowledge of Large Language Model (LLM) native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing. Ability to travel to regional stakeholders, as needed. About the job As a Forward Deployed Engineer (FDE) in the the company Cloud Consulting organization, you will be an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers. Unlike traditional advisory roles, you will function as an innovator-builder, moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer's environment. This role is designed for high-agency engineers with a founder's mindset. You will address blockers to production including solving the integration complexities, data readiness issues, and state-management issues that prevent AI from reaching enterprise-grade maturity. By embedding with accounts, you will serve a dual purpose: providing white glove deployment of complex AI systems and acting as a critical feedback loop, transforming real-world field insights into the company Cloud's future product roadmap. It's an exciting time to join the company Cloud's Go-To-Market team, leading the AI revolution for businesses worldwide. You'll excel by leveraging the company's brand credibility-a legacy built on inventing foundational technologies and proven at scale. We'll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We're a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era-the market is yours. Responsibilities Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable Return on Investment (ROI). Architect and code the connective tissue between the company's AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters as part of an expert team. Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet requirements for accuracy, safety, and latency. Identify repeatable field patterns and friction points in the company's AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams. Co-build with pre-sales and product teams to instill the company-grade development best practices, ensuring long-term project success and high end-user adoption. the company is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also the company's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

AWS Specialist Sellers, Strategic Pursuits OpenAI Sales - London, UK and Munich, Germany About the Team OpenAI's mission is to build safe artificial general intelligence (AGI) that benefits all of humanity. Achieving this requires bringing together world class scientists, engineers, and business leaders to translate frontier research into real world impact. Within OpenAI, the Go to Market organization helps customers understand, adopt, and scale our products across their businesses. The team includes Sales, Solutions, Support, Marketing, Partnerships, and Strategic Pursuits professionals who work together to bring the benefits of AI to organizations globally. About the Role We are hiring a Senior Specialist Seller to join the Strategic Pursuits team and lead priority opportunities generated through the joint AWS and OpenAI co sell motion. You will partner closely with Account Directors, AWS field teams, and cross functional stakeholders to identify, shape, advance, and close high value strategic enterprise engagements. This role is ideal for a senior seller with deep experience in enterprise technology, AI, cloud, or complex transformation sales motions. You should be comfortable operating in executive facing environments, aligning multiple stakeholders, and turning customer priorities into commercially compelling and technically credible opportunities. This role is based in London or Munich. We operate on a hybrid model of 3 days per week in office and offer relocation support. In this role, you will: Lead commercial execution of priority AWS/OpenAI co sell opportunities across strategic enterprise accounts. Identify and qualify high potential opportunities focused on GenAI adoption, frontier platform use cases, and enterprise wide transformation. Partner with AWS and OpenAI field teams to align account strategy, messaging, stakeholder mapping, and execution plans. Develop customer facing value propositions that connect OpenAI capabilities with business priorities and AWS infrastructure strategies. Drive executive level engagement including customer meetings, business case development, negotiations, and account reviews. Coordinate cross functionally with Sales, Partnerships, Solutions Architecture, Product, Legal, Finance, and Deal Desk teams to progress complex opportunities. Build repeatable co sell playbooks, qualification frameworks, account planning processes, and sales assets to scale the joint motion. Manage pipeline health, forecasting inputs, deal risks, blockers, and escalation needs across assigned pursuits. Serve as a trusted advisor to Account Directors by bringing strategic selling expertise and deal structuring judgment. Maintain awareness of competitive dynamics across hyperscalers, GenAI platforms, and enterprise AI vendors. You might thrive in this role if you: Have 15+ years of experience in enterprise sales, strategic business development, cloud partnerships, or complex technology go to market roles. Have a strong track record of shaping and closing large scale enterprise technology deals. Bring experience in AI, GenAI, cloud, data, enterprise software, or professional services sales. Have worked in overlay sales, specialist seller, strategic pursuits, or partner led co sell environments. Understand AWS commercial models, enterprise account planning, cloud commitments, and partner operating rhythms. Can engage credibly with CIOs, CTOs, CDOs, business leaders, procurement teams, and partner executives. Demonstrate strong commercial judgment in opportunity qualification, deal strategy, and escalation management. Thrive in ambiguity and can build new operating motions from the ground up. Communicate clearly and synthesize technical, customer, and commercial inputs into actionable recommendations. Have prior experience at AWS, another major cloud provider, a leading enterprise software company, or a high growth AI company. Understand partner led sales motions involving hyperscalers, GSIs, or strategic technology partners. Bring familiarity with enterprise AI use cases across industries such as financial services, healthcare, retail, manufacturing, technology, energy, or public sector. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Aff Policy Statement. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Join us at EIT: At the Ellison Institute of Technology (EIT), we're on a mission to translate scientific discovery into real world impact. We bring together visionary scientists, technologists, engineers, researchers, educators and innovators to tackle humanity's greatest challenges in four transformative areas: Health, Medical Science & Generative Biology, Food Security & Sustainable Agriculture, Climate Change & Managing CO , Artificial Intelligence & Robotics. This is ambitious work - work that demands curiosity, courage, and a relentless drive to make a difference. At EIT, you'll join a community built on excellence, innovation, tenacity, trust, and collaboration, where bold ideas become real world breakthroughs. Together, we push boundaries, embrace complexity, and create solutions to scale ideas from lab to society. Explore more at . Welcome to the Plant Biology Institute: The Plant Biology Institute, headed by Professor Steve Kelly, is a key part of the Ellison Institute of Technology (EIT) Oxford. The institute aims to develop impactful and commercially sustainable solutions for improving global food production and planetary health through pioneering plant science research. The Plant Biology Institute will unite world class researchers who are focused on expanding the frontiers of plant science. Our research is focused on enhancing our ability to feed the planet while simultaneously improving the climate and ecosystem outcomes of food production. By embedding cutting edge plant science research within an organisation that is focused on solving global challenges at scale, we aim to accelerate the timeline from discovery to global impact. Areas of exploration include: Improved plant productivity, both indoors and outside; Reduced reliance on inputs including water, fertilisers, pesticides, and herbicides; Novel decarbonised plant based production platforms for food and medicines; Advanced technologies that speed up discovery and deployment in plants. Researchers will have access to state of the art laboratory and plant growth facilities and have opportunities to collaborate with experts at the forefront of research on AI, automation, and generative biology across the EIT ecosystem. They will also work with global leaders in market development, commercialisation, and impact creation. The Plant Biology Institute has long term substantial funding to support the unique scale and ambition of its vision. Role We are seeking a detail oriented and proactive Mass Spectrometry Laboratory Technician to provide essential laboratory and experimental support for Mass Spectrometry in the Plant Biology Institute, with a particular focus on LC MS and GC MS workflows. The technician will work closely with a Metabolomics and Mass Spectrometry Scientist, within a broader platform team that provides and continuously develops analytical infrastructure functionalities to researchers pursuing ambitious scientific goals. This role involves hands on responsibility for setting up and conducting mass spectrometry analyses in support of research priorities of the institute, as well as collaborating with researchers across EIT. Furthermore, the post holder will ensure the smooth and efficient operation of mass spectrometry facilities through routine maintenance, calibration, quality control and troubleshooting, and use appropriate protocols to process samples for analysis. The ideal candidate will have experience performing these functions in a fast moving environment, an interest in contributing to commercially sustainable solutions for real life impact and be a detail oriented problem solver. This role offers a unique opportunity to be involved in high impact research at the forefront of plant science, while collaborating across multidisciplinary teams and contribute to innovation from lab to global impact. Responsibilities Perform high quality GC MS and LC MS analyses, selecting and applying appropriate protocols for different sample types. Process and prepare biological samples for mass spectrometry. Acquire, process, manage, and analyse data from MS experiments, using specialised software, appropriate database queries, and bioinformatics tools. Consult with researchers on experimental design, sample processing requirements, analytical approaches, and interpretation of mass spectrometry data. Train users on LC MS and GC MS data acquisition and data analysis. Perform routine instrument maintenance, calibration, quality control, and troubleshooting as needed. Manage supplier relationships, such as organising and attending meetings with representatives or manufacturer engineers and coordinating necessary visits for maintenance and repairs. Maintain accurate experimental records, instrument logs, and documentation in accordance with established SOPs. Ensure compliance with laboratory health and safety procedures and good laboratory practice. Assist with inventory and stock management for mass spectrometry facil

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We're training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company co-headquartered in Toronto and San Francisco, with key offices in London, New York City, Montreal, Seoul, Germany and Paris. Join us! Why this role? North is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications. The Agents & Automations team builds the platform inside North that lets customers create AI-powered workflows. Some of these workflows are structured automations, such as routing requests, keeping systems up-to-date, or triggering approvals. Others are more flexible agents that can gather context, use tools, make decisions, and take action across enterprise systems. As an engineer on this team, you will help build the core platform that makes this possible: the workflow builder, execution engine, integrations, debugging tools, observability, evaluation systems, and feedback loops that help customers understand and improve what they deploy. This is broad product engineering work across frontend, backend, and AI-powered systems. The goal is to ship reliable software that helps customers augment or automate real business workflows with agents and automations they can trust. In this role you will: Build and ship features for North, our AI workspace platform Develop autonomous agents that talk to sensitive enterprise data Write and ship minimal code that runs in low-resource environments, and has highly stringent deployment mechanisms As security and privacy are paramount, you will sometimes need to re invent the wheel, and won't be able to use the most popular libraries or tooling Collaborate with researchers to productionize state of the art models and techniques You may be a good fit if: You have at least two years' experience Have shipped (lots of) fullstack code (Python and React) in production You excel in fast paced environments and can execute while priorities and objectives are a moving target You've worked in both large enterprises and startups You have strong coding abilities and are comfortable working across the stack. You're able to read and understand, and even fix issues outside of the main code base You have built and deployed extremely performant client side or server side RAG/agentic applications to millions of users. Bonus: You love art and have an eye for design and a creative mindset - A plus, if you have a portfolio, GitHub or other showcases of your projects Our stack includes Python, TypeScript with React, Postgres, and Kubernetes. We care more about strong fundamentals, product judgment, agency, and learning ability than prior experience with every part of the stack. We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs. Full-Time Employees at Cohere enjoy these Perks: A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. Full health and dental benefits, including a separate budget for mental health. RRSP matching, 401K, Pension Scheme. 100% Parental Leave top up for up to 6 months, for either parent. Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. 6 weeks of paid vacation (30 working days!) Budget for traveling to other offices if you are remote, plus an annual company offsite. How and Where We Work: Cohere is remote-friendly. We have offices in Toronto, San Francisco, New York City, London, Paris, Montreal, and more coming soon. For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. For those not near an office: a co working benefit so you can work alongside others in your city. Everyone receives a $500 home office stipend to set up your workspace properly. We may use AI enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.

About the Incubator for AI (i.AI) The Incubator for AI (i.AI) is a high agency technical unit within the UK government, focused on pioneering transformative AI applications for the public sector. About the role Applied AI Engineers of all experience levels are needed to build products that leverage state of the art methods to solve real world problems for the public sector. Responsibilities Rapidly prototype AI solutions to test hypotheses and de risk new ideas, designing and developing products that use the latest models. Train, scaffold and adapt models in applied settings, implementing rigorous evaluation methodologies and defining metrics for real world performance (accuracy, robustness, latency, cost, fairness). Stay up to date with recent advances in AI, assess applicability to products, and iterate on models based on experimental results, user feedback and production observations. Translate ambiguous product and government problems into well defined AI tasks; work closely with Product Managers to define technical architectures and implement them. Select appropriate modelling approaches (classical ML, deep learning, foundation models, prompting, fine tuning) based on data, constraints and desired outcomes. Qualifications Proven experience rapidly developing and shipping AI products or models in fast paced environments. Experience building benchmarks and datasets to train/evaluate AI systems or agents in production settings. Experience with AI infrastructure (model deployment, optimisation, data processing) and cloud platforms (AWS, Azure or GCP). Hands on experience with a range of AI concepts such as LLMs, VLMs, RAG, agents, MCP, computer vision, GraphML, recommendation systems or reinforcement learning. Familiarity with ML frameworks (PyTorch, TensorFlow, etc.) and strong proficiency in Python and data structures and algorithms. Engineering excellence - writing high quality, maintainable code and an open source or research publishing track record. Master's degree or PhD in Computer Science, Machine Learning, Statistics or related field, or equivalent industry experience. Ability to work in agile, user centred environments with an entrepreneurial mindset and ability to navigate ambiguity. Experience Levels Candidates at all levels are considered. Senior candidates should additionally demonstrate deep expertise at a frontier lab, technical ownership of production grade AI systems, mentoring experience, and the ability to identify high value opportunities and mitigate technical, ethical and safety risks. Benefits Career defining projects with significant impact. Access to frontier models and ample compute. Extensive operational, product, strategy and design support. Collaboration with experts across national security, policy, AI research and adjacent sciences. Personal growth opportunities, ownership of important products early, and a supportive mission driven culture. Learning and development support: paid leave, annual stipends, conference funding. Contract: 24 month fixed term with hybrid working and pay equivalent equipment stipends. Generous leave: 25 days plus one additional day per year of service, plus 39 weeks full pay parental leave. Pension: employer contributes 28.97% of base salary. Other benefits: discounts for cycling, dental insurance, donations and gym memberships. Salary Annual salaries range from £85,000 to £145,000, consisting of a base salary plus a technical allowance. Salary level depends on role scope and experience. Selection Process Applicants must successfully complete UK Government SC clearance (sponsorable) and generally meet residency requirements. The selection involves a short initial conversation, a technical take home test, and subsequent interviews with technical and senior team members. Diversity and Inclusion The Civil Service is committed to attracting, retaining and investing in talent wherever it is found. All candidates are encouraged to apply.

About the Incubator for AI (i.AI) The Incubator for AI (i.AI) is a high agency technical unit within the UK government, focused on pioneering transformative AI applications for the public sector. About the role Applied AI Engineers of all experience levels are needed to build products that leverage state of the art methods to solve real world problems for the public sector. Responsibilities Rapidly prototype AI solutions to test hypotheses and de risk new ideas, designing and developing products that use the latest models. Train, scaffold and adapt models in applied settings, implementing rigorous evaluation methodologies and defining metrics for real world performance (accuracy, robustness, latency, cost, fairness). Stay up to date with recent advances in AI, assess applicability to products, and iterate on models based on experimental results, user feedback and production observations. Translate ambiguous product and government problems into well defined AI tasks; work closely with Product Managers to define technical architectures and implement them. Select appropriate modelling approaches (classical ML, deep learning, foundation models, prompting, fine tuning) based on data, constraints and desired outcomes. Qualifications Proven experience rapidly developing and shipping AI products or models in fast paced environments. Experience building benchmarks and datasets to train/evaluate AI systems or agents in production settings. Experience with AI infrastructure (model deployment, optimisation, data processing) and cloud platforms (AWS, Azure or GCP). Hands on experience with a range of AI concepts such as LLMs, VLMs, RAG, agents, MCP, computer vision, GraphML, recommendation systems or reinforcement learning. Familiarity with ML frameworks (PyTorch, TensorFlow, etc.) and strong proficiency in Python and data structures and algorithms. Engineering excellence - writing high quality, maintainable code and an open source or research publishing track record. Master's degree or PhD in Computer Science, Machine Learning, Statistics or related field, or equivalent industry experience. Ability to work in agile, user centred environments with an entrepreneurial mindset and ability to navigate ambiguity. Experience Levels Candidates at all levels are considered. Senior candidates should additionally demonstrate deep expertise at a frontier lab, technical ownership of production grade AI systems, mentoring experience, and the ability to identify high value opportunities and mitigate technical, ethical and safety risks. Benefits Career defining projects with significant impact. Access to frontier models and ample compute. Extensive operational, product, strategy and design support. Collaboration with experts across national security, policy, AI research and adjacent sciences. Personal growth opportunities, ownership of important products early, and a supportive mission driven culture. Learning and development support: paid leave, annual stipends, conference funding. Contract: 24 month fixed term with hybrid working and pay equivalent equipment stipends. Generous leave: 25 days plus one additional day per year of service, plus 39 weeks full pay parental leave. Pension: employer contributes 28.97% of base salary. Other benefits: discounts for cycling, dental insurance, donations and gym memberships. Salary Annual salaries range from £85,000 to £145,000, consisting of a base salary plus a technical allowance. Salary level depends on role scope and experience. Selection Process Applicants must successfully complete UK Government SC clearance (sponsorable) and generally meet residency requirements. The selection involves a short initial conversation, a technical take home test, and subsequent interviews with technical and senior team members. Diversity and Inclusion The Civil Service is committed to attracting, retaining and investing in talent wherever it is found. All candidates are encouraged to apply.

About the Incubator for AI (i.AI) The Incubator for AI (i.AI) is a high agency technical unit within the UK government, focused on pioneering transformative AI applications for the public sector. About the role Applied AI Engineers of all experience levels are needed to build products that leverage state of the art methods to solve real world problems for the public sector. Responsibilities Rapidly prototype AI solutions to test hypotheses and de risk new ideas, designing and developing products that use the latest models. Train, scaffold and adapt models in applied settings, implementing rigorous evaluation methodologies and defining metrics for real world performance (accuracy, robustness, latency, cost, fairness). Stay up to date with recent advances in AI, assess applicability to products, and iterate on models based on experimental results, user feedback and production observations. Translate ambiguous product and government problems into well defined AI tasks; work closely with Product Managers to define technical architectures and implement them. Select appropriate modelling approaches (classical ML, deep learning, foundation models, prompting, fine tuning) based on data, constraints and desired outcomes. Qualifications Proven experience rapidly developing and shipping AI products or models in fast paced environments. Experience building benchmarks and datasets to train/evaluate AI systems or agents in production settings. Experience with AI infrastructure (model deployment, optimisation, data processing) and cloud platforms (AWS, Azure or GCP). Hands on experience with a range of AI concepts such as LLMs, VLMs, RAG, agents, MCP, computer vision, GraphML, recommendation systems or reinforcement learning. Familiarity with ML frameworks (PyTorch, TensorFlow, etc.) and strong proficiency in Python and data structures and algorithms. Engineering excellence - writing high quality, maintainable code and an open source or research publishing track record. Master's degree or PhD in Computer Science, Machine Learning, Statistics or related field, or equivalent industry experience. Ability to work in agile, user centred environments with an entrepreneurial mindset and ability to navigate ambiguity. Experience Levels Candidates at all levels are considered. Senior candidates should additionally demonstrate deep expertise at a frontier lab, technical ownership of production grade AI systems, mentoring experience, and the ability to identify high value opportunities and mitigate technical, ethical and safety risks. Benefits Career defining projects with significant impact. Access to frontier models and ample compute. Extensive operational, product, strategy and design support. Collaboration with experts across national security, policy, AI research and adjacent sciences. Personal growth opportunities, ownership of important products early, and a supportive mission driven culture. Learning and development support: paid leave, annual stipends, conference funding. Contract: 24 month fixed term with hybrid working and pay equivalent equipment stipends. Generous leave: 25 days plus one additional day per year of service, plus 39 weeks full pay parental leave. Pension: employer contributes 28.97% of base salary. Other benefits: discounts for cycling, dental insurance, donations and gym memberships. Salary Annual salaries range from £85,000 to £145,000, consisting of a base salary plus a technical allowance. Salary level depends on role scope and experience. Selection Process Applicants must successfully complete UK Government SC clearance (sponsorable) and generally meet residency requirements. The selection involves a short initial conversation, a technical take home test, and subsequent interviews with technical and senior team members. Diversity and Inclusion The Civil Service is committed to attracting, retaining and investing in talent wherever it is found. All candidates are encouraged to apply.

Founding Security Engineer (Application & Infrastructure) Build the shield that makes Enterprise Superintelligence trustworthy London / Remote • Full-time • Pavo Labs About Pavo Pavo is building Enterprise Superintelligence: compounding systems that take ownership of business outcomes and work with humans to deliver them. We believe that while foundation models are necessary, they are not sufficient. The hard problem is systems intelligence: end-to-end architectures that understand a company's code, data, and decisions, and improve themselves through experience. We are assembling a small, senior team of researchers and engineers obsessed with systems-first intelligence. Our current team consists of PhDs and ML engineers from top applied ML and coding agent companies, with a heritage of shipping systems at Spotify, ShareChat, and Sourcegraph scale. Our team has built impressive momentum with a small group of highly capable engineers and researchers. The Opportunity As a Founding Security Engineer, you will help establish the security foundations for Pavo's agentic and knowledge systems. You help secure autonomous systems that write code, execute tools, and interact with sensitive enterprise data. This role sits at the bleeding edge of AI Security, wherein you harden the infrastructure that allows our knowledge and agentic systems to work safely inside Fortune 500 environments. You will build the shield that makes Enterprise Superintelligence trustworthy. What You'll Build You will own the holistic security posture of the Pavo platform, spanning Application, AI, and Infrastructure security: AI & Application Security: Lead the defense against LLM-specific vulnerabilities (Prompt Injection, Insecure Output Handling) and standard web threats (OWASP Top 10). Implement "Guardrails" that sanitize agent inputs/outputs and conduct continuous red-teaming of our agent behaviors. Secure SDLC & DevSecOps: Embed security into our CI/CD pipelines without slowing down our high-velocity engineering team. Integrate automated SAST/DAST scanning, dependency management (SCA), and secret detection into our daily workflow. Cloud & Infrastructure Hardening: Work closely with Systems Engineers to secure our Kubernetes clusters and compute environments. Design strict IAM policies (least privilege for agents) and ensure network isolation so that agent execution environments are impenetrable. Vulnerability Management: Own the lifecycle of vulnerability detection and remediation. Manage bug bounty programs, coordinate third-party pentests, and ensure our open-source dependencies (and the code our agents generate) are secure. Enterprise Trust: Help design features that give our customers confidence, such as audit logging, data residency controls, and rigorous access governance. What We Are Looking For We are looking for a security practitioner who is a builder at heart-someone who would rather ship a secure fix than write a policy document. Core Qualifications Experience: 5+ years of experience in Security Engineering, with a strong focus on Application Security and Cloud Security. AppSec Proficiency: Deep understanding of modern web vulnerabilities (CSRF, SSRF, XSS) and experience utilizing tools like Burp Suite, Semgrep, or CodeQL. Review code in Python or Go and spot logic flaws that scanners miss. AI Security Curiosity: Understand the unique risks of LLMs. Familiar with the OWASP Top 10 for LLMs and have explored defenses against prompt injection and data exfiltration in agentic systems. Cloud Native Security: Hands-on experience securing AWS/GCP environments and Kubernetes clusters. Knowledge of container security (capabilities, seccomp, namespaces) and how to secure microservices architectures. Offensive Mindset: Experience with Red Teaming or CTFs. Think like an attacker to uncover weaknesses in business logic and agent reasoning. Nice to Have Experience securing execution sandboxes (gVisor, Firecracker, or similar). Background in "Purple Teaming"-collaborating with developers to fix what you break. Contributions to the open-source security community or research on AI safety. Knowledge of compliance frameworks (SOC 2, ISO 27001) in an early-stage startup context. Why Join Us Founding Equity: Significant ownership in a company tackling the next layer of the AI stack. Frontier Security: Define the security standards for a new category of software-autonomous enterprise agents. World-Class Team: Collaborate with a dense talent cluster of researchers and engineers who have shipped products serving hundreds of millions of users. Pavo is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

As a Forward Deployed Engineer (FDE) in the Google Cloud Consulting organization, you will be an embedded builder who bridges the gap between frontier AI products and production grade reality within customers. Unlike traditional advisory roles, you will function as an innovator builder, moving beyond high level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer's environment. This role is designed for high agency engineers with a founder's mindset. You will address blockers to production including solving the integration complexities, data readiness issues, and state management issues that prevent AI from reaching enterprise grade maturity. By embedding with accounts, you will serve a dual purpose: providing white glove deployment of complex AI systems and acting as a critical feedback loop, transforming real world field insights into Google Cloud's future product roadmap. It's an exciting time to join Google Cloud's Go To Market team, leading the AI revolution for businesses worldwide. You'll excel by leveraging Google's brand credibility-a legacy built on inventing foundational technologies and proven at scale. We'll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We're a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era-the market is yours. Minimum qualifications: Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience. 8 years of experience with software development using Python or similar coding languages. Experience building pipelines for structured and unstructured data using both vector databases and RAG like architectures to power enterprise AI solutions. Experience taking production grade AI driven solutions from conception to launch, and architecting AI systems on cloud platforms (e.g., Google Cloud Platform). Experience leading technical discovery sessions with customers. Ability to communicate in French or German fluently as this is a customer facing role that requires interactions in French or German with local stakeholders. Preferred qualifications: Master's degree or PhD in AI, Computer Science, or a related technical field. Experience implementing multi agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and complex patterns (e.g., ReAct, self reflection, hierarchical delegation). Experience in a post sales or technical consulting delivery function. Knowledge of Large Language Model (LLM) native metrics (e.g., tokens/sec, cost per request) and techniques for optimizing state management and granular tracing. Ability to travel to regional stakeholders, as needed. Responsibilities: Serve as a developer for complex AI applications, transitioning from rapid prototypes to production grade agentic workflows (e.g., multi agent systems, MCP servers) that drive measurable Return on Investment (ROI). Architect and code the connective tissue between Google's AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters as part of an expert team. Build high performance evaluation pipelines and observability frameworks to ensure agentic systems meet requirements for accuracy, safety, and latency. Identify repeatable field patterns and friction points in Google's AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams. Co build with pre sales and product teams to instill Google grade development best practices, ensuring long term project success and high end user adoption.

Frontier Resourcing is seeking a Principal Data Scientist & Machine Learning Researcher to help develop advanced AI solutions for national security. The role involves collaborating with engineers and researchers, solving complex challenges in a hybrid environment. Successful candidates will have a strong background in Python and machine learning, along with a relevant degree. The position offers competitive benefits, including a salary bonus and opportunities for career progression.

About the job This is a 12 Month Fixed Term Appointment. Applications for this role close 26th July 23:59 UK Time. About the job: This is a rare opportunity to shape the security, privacy and trust foundations of one of government's most ambitious AI enabled services. Gov Voice is building a reusable AI voice capability that will transform how people access government services by phone. For millions of people, contact centres are one of the most important and highest volume ways they interact with government. We're creating a service that can make those interactions simpler, faster and easier to navigate - while meeting the highest standards of security, privacy and public trust. This is not innovation for its own sake. We're building a real service for real users in a high trust, high scrutiny environment. That means designing security, privacy and data protection into the service from the outset, and ensuring they remain central as the platform grows across government. This role is central to that mission. It combines hands on security architecture and engineering with leadership on privacy and data protection in the context of an AI enabled public service. If you're motivated by solving hard problems, shaping trusted AI in government, and building services that could improve how millions of people experience government, this is an opportunity to make a genuine impact. Who we are Gov Voice is part of the Department of Science, Innovation and Technology (DSIT), which is working to make digital government simpler, clearer and faster for everyone. We are a team at the forefront of applying cutting edge AI to transform how people experience government services. We sit within the Government Digital Service. We are not currently part of the Incubator for AI, although the two teams will work increasingly closely together. We are a multidisciplinary team bringing together product, delivery, AI, policy, operations, service design, security and data expertise to turn emerging technology into practical public services. We're not building prototypes for the sake of it - we're building something real, reusable and trusted that departments across government can adopt with confidence. This is the kind of project that comes along rarely: frontier technology, real world delivery, meaningful public impact, and complex problems worth solving. We're looking for people who want to help define what secure, privacy conscious and trustworthy AI in government looks like. What you will do The Lead Security, Privacy and Data Protection Architect will be accountable for the security architecture, privacy architecture and data protection design of a government service. This is not solely a cyber security architecture role: it requires someone who can bring together secure by design, privacy by design and data protection by design in the delivery of an AI enabled public service. Initially, the role will be hands on and operational. You will help harden the platform against security risks, support monitoring and threat detection, respond to incidents, and build a more systematic approach to security, privacy and data protection assurance. As the service scales, you will define and lead security, privacy and data protection architecture and controls across departments and ALBs using the service, acting as a senior authority in this space. As a Lead Security, Privacy and Data Protection Architect, you will: Shape strategy and influence across government Build effective relationships with senior stakeholders across departments and ALBs, while engaging with wider cross government security, privacy and data communities Communicate and translate technical security, privacy and data protection risks to both technical and non technical stakeholders Reach and influence a wide range of people across larger teams, programmes and communities Own the relationship between DSIT, GDS, adopters and the Information Commissioner's Office to support best practice in privacy and data protection Lead the architecture for the platform, ensuring security by design, privacy by design and data protection by design are embedded throughout the service lifecycle Research and apply innovative architecture solutions to new or existing problems, and clearly justify and communicate design decisions Develop vision, principles and strategy for security, privacy and data protection architecture across a project or technology area Analyse technical solutions and produce architectural patterns that support assurance, quality and scalability Assess risks relating to AI, integrations, infrastructure, identity, and personal data flows Define and assure appropriate controls for voice data, transcripts, logs, model inputs and outputs, retention, deletion, auditability and access management Lead the technical design and implementation of controls around the user focused platform Provide expert leadership on privacy and data protection in the design and operation of the service Ensure the platform meets legal obligations and user expectations for privacy and data protection Assess and advise on personal data processing, minimisation, retention, deletion, access controls, auditability and data sharing across the platform and adopter integrations Support or lead Data Protection Impact Assessments (DPIAs), privacy risk assessments and mitigation planning, ensuring outcomes are reflected in technical and operational controls Work closely with legal, policy, delivery, platform and operations teams to ensure personal data is handled appropriately and lawfully Drive operational security and assurance, work with platform and operations teams to secure early deployments, provide expert input into security incidents, remediation activity and areas for change, while advising on best practice across government Perform reactive security monitoring and incident support, respond to alerts and challenges, support investigations, and provide feedback that shapes policy and requirements Assist with vulnerability triage and remediation tracking Own security, privacy and data protection architecture and strategic frameworks across multiple departments and ALBs Define advanced controls, monitoring approaches and defence in depth patterns Establish cross government approaches to privacy assurance, data sharing, retention, accountability and governance Support continuous assurance in increasingly complex threat and operating environments Act as a senior security, privacy and data protection authority for the government service Person specification Essential experience Experience designing and implementing security architecture in a complex organisation, and applying it at both technical and operational levels Experience embedding privacy by design and data protection by design into architecture, engineering and service delivery Strong understanding of the specific security and privacy issues presented by generative AI, and the ability to stay current with emerging best practice in this area Experience applying cyber security principles, including understanding of infrastructure security, information security, penetration testing, vulnerability management, and mitigating common cyber threats (e.g., DDoS attacks) Experience understanding, interpreting and applying legal obligations, policies and regulations such as UK GDPR, the Data Protection Act 2018, and other applicable data protection requirements in the design and operation of digital services Experience identifying and managing privacy and data protection risks in complex systems, including AI enabled services, third party integrations and cross organisational data sharing Experience leading, contributing to, or advising on Data Protection Impact Assessments (DPIAs) or similar privacy risk assessments, and translating findings into technical or operational controls Experience analysing and advising on personal data handling, including data flows, minimisation, retention, deletion, access controls, auditability and sharing arrangements Experience designing, identifying and implementing new technologies within an organisation Experience prioritising work, working under pressure, and dealing with changing priorities and ambiguity Experience translating technical security, privacy, data protection or system architecture details and risks to non technical stakeholders, both verbally and in writing Experience leading and managing colleagues across multiple disciplines, and escalating concerns within a workstream, team or programme where appropriate Experience responding to security incidents and working within incident or risk management frameworks Experience interpreting, explaining and reviewing system architectures Experience identifying and analysing technical platform vulnerabilities Experience working with Agile practices and processes Salary explanation Salary is paid within the grade range shown below. As this is a GDAD role, the maximum salary includes a non pensionable technical allowance, and successful candidates will be appointed somewhere within that range depending on assessment. Grade 6: £74,605 + potential GDAD non pensionable technical allowance of up to £16,151. Total compensation up to £90,756 inclusive. What we offer Career defining projects with outsized impact Backing from the Prime Minister and No10 to scope and build transformative AI projects . click apply for full job details

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 endpoints, identity, SaaS, cloud, Kubernetes: identify telemetry/control gaps, prioritize them, and advocate for fixes with partner teams (and implement directly when it's the fastest/most effective path). Evaluate and respond to emergent security concerns in a frontier AI lab environment, such as detection and response strategies for agents operating across infrastructure at scale. You might thrive in this role if you: Have hands on threat detection and/or incident response experience, including building detections, running investigations, and improving operational playbooks. Understand modern adversary tradecraft (TTPs) and can translate it into practical detection strategies and response actions. Bring a threat modeling mindset. You can evaluate new infrastructure or features, identify D&R implications (what could go wrong, what we'd need to see, how we'd respond), and turn that into concrete requirements for teams shipping the system. Have experience working in Kubernetes/containerized environments, including building detections from cluster telemetry and understanding common failure and attack modes (workloads, nodes, control plane, networking). Are comfortable reasoning about lower level infrastructure and datacenter risks, such as firmware/BMC surfaces, network segmentation/telemetry, and hard to observe control paths. Have experience across major cloud platforms (Azure, AWS, GCP, OCI), and can design cloud agnostic detection approaches where possible. Like building automation that replaces repetitive D&R work, including thoughtfully using agent style workflows where they meaningfully reduce toil, while keeping outcomes measurable, auditable, and safe. Are energized by new problem areas at a forward leaning technology company: e.g., thinking through how to detect and respond to agents operating across systems at scale, and turning those ideas into pragmatic telemetry and response requirements. Communicate clearly and collaborate well across teams. You can translate D&R needs into clear requirements, align stakeholders, and drive follow through across technical and non technical audiences. Are comfortable with scripting and enjoy using AI/agent tooling to accelerate investigations and automation-more "directing" than doing everything by hand. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the SanFrancisco Fair Chance Ordinance, the LosAngeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US based candidates. For unincorporated LosAngeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy

About the Team Training Runtime designs the core distributed runtime that powers everything from early research experiments to frontier scale model runs. We work on building robust, scalable, high performance components to support our distributed training workloads. Our priorities are to maximise the productivity of our researchers and our hardware, with the goal of accelerating progress towards AGI. Within Training Runtime, the Process Management team develops the distributed OS responsible for launching, coordinating, and supervising the large numbers of processes that make up modern training workloads. Our runtime sits beneath training frameworks and on top of research infrastructure, ensuring jobs run reliably across massive clusters while maintaining performance, stability, and observability. Success for us is measured by both system reliability and researcher velocity-enabling ideas to scale from experiments to production training runs. About the Role As a Training Runtime: Process Management Engineer, you will work on the software that ties thousands of computers together and exposes them as a unified system. This system has to serve individual researchers running multiple parallel experiments, as well as our largest training runs spanning hundreds of thousands and even millions of machines and accelerators. This requires easy to use, introspectable systems that can promote a fast debugging and development cycle, as well as relentless optimisation for scale while maintaining stability and performance throughout. You will work primarily in Rust, building high performance asynchronous systems with a strong emphasis on performance, correctness, and scalability. Working at this scale and at the frontier of AI development poses novel challenges. Out of the box approaches often don't work. The problems you will be working on are highly ambiguous and require strong design judgement as well as proficient execution to advance the state of our infrastructure. We're looking for people who love optimising an end to end platform, understanding high performance architectures to maximise both local and distributed performance across our supercomputers. We're looking for engineers excited by the rapid pace of responding to the dynamic and evolving needs of our training runtime and compute stack. This role is based in London, UK. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. Responsibilities Work across our Python and Rust stack Design, build, and maintain software to orchestrate and monitor machine learning workloads on our largest supercomputers Profile and optimise our software stack to support computation orchestration at frontier scale Improve reliability, observability, and fault tolerance for long running jobs Debug complex distributed systems issues across large clusters Respond to the changing shapes and needs of the ML systems to enable our researchers Qualifications Have experience developing distributed systems (not just operating them) Enjoy understanding how large systems behave and fail at scale Care deeply about performance, correctness, and reliability Have strong software engineering skills and are proficient in Python and Rust or another systems programming language (e.g. C++) Have solid Linux knowledge, and are comfortable with systems level debugging, performance analysis, and memory profiling Are comfortable and experienced working and developing asynchronous and concurrent systems Like high ownership environments with light process and strong engineering agency About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, colour, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's affirmative action and equal employment opportunity policy statement. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Minimum qualifications: Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience. 5 years of experience with software development using Python or similar coding languages. Experience building pipelines for structured and unstructured data using both vector databases and RAG-like architectures to power enterprise AI solutions. Experience taking production-grade AI-driven solutions from conception to launch, and architecting AI systems on cloud platforms (e.g., the company Cloud Platform). Experience leading technical discovery sessions with customers. Preferred qualifications: Master's degree or PhD in AI, Computer Science, or a related technical field. Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation). Experience in a post-sales or technical consulting delivery function. Experience enabling technical teams on Agentic AI. Knowledge of Large Language Model (LLM) native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing. Excellent communication skills. About the job As a Forward Deployed Engineer (FDE) in the company Cloud Consulting organization, you will be an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers. Unlike traditional advisory roles, you will function as an innovator-builder, moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer's environment. This role is designed for high-agency engineers with a founder's mindset. You will address blockers to production including solving the integration complexities, data readiness issues, and state-management issues that prevent AI from reaching enterprise-grade maturity. By embedding with accounts, you will serve a dual purpose: providing white glove deployment of complex AI systems and acting as a critical feedback loop, transforming real-world field insights into the company Cloud's future product roadmap. It's an exciting time to join the company Cloud's Go-To-Market team, leading the AI revolution for businesses worldwide. You'll excel by leveraging the company's brand credibility-a legacy built on inventing foundational technologies and proven at scale. We'll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We're a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era-the market is yours. Responsibilities Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable Return on Investment (ROI). Architect and code the connective tissue between the company's AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters as part of an expert team. Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet requirements for accuracy, safety, and latency. Identify repeatable field patterns and friction points in the company's AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams. Co-build with pre-sales and product teams to instill the company-grade development best practices, ensuring long-term project success and high end-user adoption. the company is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also the company's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.