AI Chopping Block, Inc.

AI Chopping Block, Inc. is seeking a Software Engineer for its Agents & Automations team to develop innovative AI-powered workflows. You will design, build, and maintain features for the North platform, ensuring a reliable and efficient user experience. The ideal candidate has experience in production software development and a passion for AI integration. Join a team that values diversity and innovation and work in a collaborative, remote-friendly environment.

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. As a Software Engineer, Agents & Automations, you will: Design, build, ship, and maintain core capabilities for North's Agents & Automations platform. Build product and platform features that help users create, run, debug, evaluate, and improve agents and automations. Own features end to end, from technical design through implementation, testing, launch, and iteration. Work across the stack, from frontend product surfaces to backend systems, depending on what the product needs. Make practical technical decisions that balance speed, quality, depth, and user impact. Collaborate closely with product, design, modelling, customer facing teams, and other engineers to define the right outcomes and ship measurable improvements. Use AI actively in your work, while staying intellectually engaged and accountable for the quality and reliability of what you ship. Example problems you might work on include helping users turn natural language intent into a working automation, adding richer analytics for deployed agents, creating better debugging tools for failed runs, or designing workflow primitives that make complex enterprise automations easier to build. You may be a good fit if: You have built, shipped, and operated production software used by real users or customers. You are comfortable working across backend, frontend, product, data, and infrastructure boundaries. You have strong product judgment, pay attention to product details and care deeply about whether your work helps the end user. You bring high agency: you act, tinker, learn quickly, and drive change without waiting for perfect instructions. You move quickly while maintaining a high bar for correctness, maintainability, and user impact. You communicate clearly, document important decisions, and collaborate well across functions. You can advocate for a point of view, change your mind when the evidence changes, and commit once a decision is made. You are excited to use AI to do your best work, while staying accountable for the systems you build. 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. If this role sounds exciting, but your experience does not match every bullet, we still encourage you to apply. 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 a Accommodations Request Form, and we will work together to meet your needs. 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. If any of the above doesn't line up exactly with your experience, we still encourage you to apply. 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.

AI Chopping Block, Inc. is seeking a Production AI Ops Lead to shape the production lifecycle of full-stack AI applications for public sector partners. The successful candidate will oversee system reliability and integration, ensuring compliance with governmental regulations. Ideal candidates should have over 6 years of experience, with proficiency in Kubernetes and AI infrastructure, along with strong problem-solving and communication skills. Join us and help transform operations in the public sector using advanced AI solutions.

Role Overview Scale's rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: Creating custom AI applications that will impact millions of citizens Generating high-quality training data for national LLMs Upskilling and advisory services to spread the impact of AI As a Production AI Ops Lead, you will design and develop the production lifecycle of full stack AI applications, while supporting end to end system reliability, real time inference observability, sovereign data orchestration, high security software integration, and the resilient cloud infrastructure required for our international government partners. At Scale, we're not just building AI solutions-we're enabling the public sector to transform their operations and better serve citizens through cutting edge technology. If you're ready to shape the future of AI in the public sector and be a founding member of our team, we'd love to hear from you. You will: Own the production outcome: Take full accountability for the long term performance and reliability of AI use cases deployed across international government agencies. Ensure Full Stack integrity: Oversee the end to end health of the platform, ensuring seamless integration between the AI core and all full stack components, from APIs to UI, to maintain a responsive and production ready environment. Scale the feedback loop: Build automated systems to monitor model performance and data drift across geographically dispersed environments, ensuring the right levels of reliability. Navigate global compliance: Manage the technical lifecycle within diverse regulatory frameworks. Incident command: Lead the response for production issues in mission critical environments, ensuring rapid resolution and building the guardrails to prevent them from happening again. Bridge the gap: Translate deep technical performance metrics into clear insights for senior international government officials. Drive product evolution: Partner with our Engineering and ML teams to ensure the lessons learned in the field directly influence the technical architecture and decisions of future use cases. Ideally, you have: Experience: 6+ years in a high impact technical role (SRE, FDE or MLOps) with experience in the public sector. Global perspective: Familiarity with international government security standards and the complexities of deploying sovereign AI. System architecture proficiency: Proven experience maintaining production grade applications with a deep understanding of the full request lifecycle connecting frontend/API layers to the backend and AI core. Modern AI Stack expertise: Proficiency in coding and the modern AI infrastructure, including Kubernetes, vector databases, agentic development, and LLM observability tools. Ownership: You treat every production deployment as your own. You race toward solving hard problems before the customer even sees them. Reliability: You understand that in the public sector, a model failure may be a risk to public safety or privacy. Customer communication: The ability to explain to a high ranking official why the performance of the system has degraded and how we are fixing it. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . We comply with the United States Department of Labor's Pay Transparency provision.

About us At Sierra, we're creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in person company based in San Francisco, with growing offices in Atlanta, New York, London, Paris, Madrid, Munich, Singapore, Japan, and Sydney. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google's AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. What you'll do Design and deliver production grade AI agents: You'll build and ship highly performant, reliable, and intuitive AI agents that are central, mission critical and drive revenue directly to Sierra's growth. These aren't prototypes-they are powerful, scalable systems running in production environments across industries like finance, healthcare, and commerce. Drive the Agent Development Life Cycle (ADLC): You'll have complete ownership and autonomy from initial pilot through deployment and continuous iteration. You'll be responsible for building, tuning, and evolving AI agents in production environments, defining the standard for ADLC best practices along the way. Partner with large enterprises and cutting edge startups: You'll work directly with leaders at some of the world's largest enterprises to understand their most pressing business challenges, and build AI agents that transform how they operate at scale. You'll also partner with the most cutting edge startups in London, embedding AI agents across their entire business stack to drive innovation and efficiency. Build the future of the platform: Your direct work with customers will guide the evolution of Sierra's core platform. You'll surface unmet needs, prototype new tools and features, and collaborate with research, product, and platform to shape the future of AI agent development and Sierra's product. Example projects These are some examples of projects that engineers on our team have worked on recently: Design and build AI agents for large telecommunications and media companies that consistently outperform human agents in managing subscription churn Develop and refine AI agents capable of navigating complex customer interactions, like troubleshooting a broken device and personalizing product recommendations Create generalizable AI agent frameworks tailored for industry specific use cases. See some examples in our financial services blog! Facilitate design partnerships for new product initiatives, such as new agent architectures, self service capabilities, and generative agent development Experiment with the latest voice models and figure out how to integrate them at scale to enterprise grade customers What you'll bring Experience building and scaling end to end production systems Strong technical problem solving skills, especially in fast changing, ambiguous environments A builder and tinkerer's mindset with high agency - you find creative ways to overcome obstacles and ship Comfort working directly with customers to understand their needs and solve real world problems Excellent communication skills - clear, direct, and persuasive across technical and non technical audiences Even better Experience building or deploying AI/LLM systems in production Have been a founder or founding engineer - you know what it means to balance craft, ownership, and speed Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering Prior experience with React, TypeScript, and/or Go Previous roles where you interfaced with customers or led technical projects with external stakeholders Our values Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. Customer Obsession: We deeply understand our customers' business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn't right, we take the time to fix it. We are proud of the products we produce. We continuously self reflect to continuously self improve. Intensity: We know we don't have the luxury of patience. We play to win. We care about our product being the best, and when it isn't, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other's personal and professional achievements. What we offer We want our benefits to reflect our values and offer the following to full time employees: Flexible (unlimited) paid time off Medical, dental, and vision benefits for you and your family Life insurance and disability benefits Retirement plan dependent on country of employment Parental leave Fertility and family building benefits through Carrot Lunch, as well as delicious snacks and coffee to keep you energized Discretionary benefit stipend giving people the ability to spend where it matters most Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. Be you, with us We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

AI Chopping Block, Inc. is seeking a skilled professional to design and deliver high-performance AI agents. This role involves ownership of the Agent Development Life Cycle and collaboration with both large enterprises and innovative startups in London. The ideal candidate will possess strong problem-solving skills and experience in building production systems that drive significant business value. We offer flexible paid time off, medical benefits, and a culture of diversity and inclusion as core values. Join us in transforming how businesses engage through AI.

AI Chopping Block, Inc. seeks a Production AI Ops Lead in Greater London. In this role, you will oversee the production lifecycle of full-stack AI applications, ensuring system reliability and compliance while managing production issues effectively. Candidates should have 6+ years of experience in high-impact technical roles, strong problem-solving abilities, and communication skills for interaction with government officials. This position offers the opportunity to shape AI solutions that can significantly impact public sector services.

Role Overview Scale's rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: Creating custom AI applications that will impact millions of citizens Generating high-quality training data for national LLMs Upskilling and advisory services to spread the impact of AI As a Production AI Ops Lead, you will design and develop the production lifecycle of full-stack AI applications, while supporting end-to-end system reliability, real-time inference observability, sovereign data orchestration, high-security software integration, and the resilient cloud infrastructure required for our international government partners. At Scale, we're not just building AI solutions-we're enabling the public sector to transform their operations and better serve citizens through cutting edge technology. If you're ready to shape the future of AI in the public sector and be a founding member of our team, we'd love to hear from you. You will: Own the production outcome: Take full accountability for the long term performance and reliability of AI use cases deployed across international government agencies. Ensure Full-Stack integrity: Oversee the end to end health of the platform, ensuring seamless integration between the AI core and all full stack components, from APIs to UI, to maintain a responsive and production ready environment. Scale the feedback loop: Build automated systems to monitor model performance and data drift across geographically dispersed environments, ensuring the right levels of reliability. Navigate global compliance: Manage the technical lifecycle within diverse regulatory frameworks. Incident command: Lead the response for production issues in mission critical environments, ensuring rapid resolution and building the guardrails to prevent them from happening again. Bridge the gap: Translate deep technical performance metrics into clear insights for senior international government officials. Drive product evolution: Partner with our Engineering and ML teams to ensure the lessons learned in the field directly influence the technical architecture and decisions of future use cases. Ideally, you have: Experience: 6+ years in a high impact technical role (SRE, FDE or MLOps) with experience in the public sector. Global perspective: Familiarity with international government security standards and the complexities of deploying sovereign AI. System architecture proficiency: Proven experience maintaining production grade applications with a deep understanding of the full request lifecycle connecting frontend/API layers to the backend and AI core. Modern AI Stack expertise: Proficiency in coding and the modern AI infrastructure, including Kubernetes, vector databases, agentic development, and LLM observability tools. Ownership: You treat every production deployment as your own. You race toward solving hard problems before the customer even sees them. Reliability: You understand that in the public sector, a model failure may be a risk to public safety or privacy. Customer communication: The ability to explain to a high ranking official why the performance of the system has degraded and how we are fixing it. PLEASE NOTE: Our policy requires a 90 day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. We are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision. We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves While each project involves unique tasks, contributors may: Design rigorous mathematics problems reflecting professional practice; Evaluate AI solutions for correctness, assumptions, and constraints; Improve AI reasoning to align with industry standard logic; Apply structured scoring criteria to multi step problems. What we look for This opportunity is a good fit for mathematicians open to part time, non permanent projects. Ideally, contributors will have: Degree in Mathematics or related fields. 2+ years of professional experience - applied and research/teaching are applicable. Strong written English (C1+). Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage. How it works Apply Pass qualification(s) Join a project Complete tasks Get paid Project time expectations For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Compensation On this project, contributors can earn up to $35 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

AI Chopping Block, Inc. connects specialists with project-based AI opportunities for top tech companies. Mathematicians are sought for part-time projects requiring design and evaluation of AI solutions. Candidates should have a degree in Mathematics or related fields and at least 2 years of experience. Contributors can earn up to $35 per hour based on their expertise and contributions. The role allows for approximately 10-20 hours of work per week during active project phases.

Mindrift is looking for skilled n8n Workflow Developers to join the Tendem project () and contribute to building and optimizing automation workflows within our hybrid AI + human system. In this role, as an AI Pilot - that's how we refer to this position at Mindrift - you'll collaborate with Tendem Agents that handle repetitive tasks, while you provide structured thinking, automation expertise, and quality control to ensure efficient and reliable workflow execution. This part time remote opportunity is ideal for professionals with hands on experience in no code automation, workflow design, and process optimization across business systems. What We Do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real world expertise from across the globe. About the Role This is a freelance role for a Tendem project. As an n8n Workflow Developer, you'll design, build, and optimize automation pipelines in self hosted environments, integrating multiple systems and AI capabilities to support scalable and efficient workflows. Key Responsibilities Design, build, and evaluate advanced workflows in self hosted n8n environments. Architect multi system integrations for scalable automation pipelines. Develop and optimize AI powered workflows (e.g., content generation, automation pipelines, enrichment systems). Build and maintain lead generation, outreach, and data processing automation systems. Implement web scraping workflows and ensure reliable data extraction and processing. Optimize workflow execution, node sequencing, and error handling to prevent failures, delays, and API timeouts. Compensation On this project, contributors can earn up to $60 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements. Requirements At least 3 years of relevant experience in automation engineering, workflow development, integrations, or software development (required). Bachelor's or Master's Degree in Computer Science, Engineering, Information Technology, or related technical fields is a plus. Strong experience with n8n, including self hosted setups and workflow orchestration. Proven ability to design and manage complex automation systems across multiple tools and services. Solid background in API integrations, webhooks, and multi system data synchronization. Experience with web scraping, data extraction, and handling structured/unstructured data (JSON, CSV, APIs). Demonstrated experience working with self hosted automation infrastructure and scaling workflow systems. Experience integrating AI tools (OpenAI, Claude, or similar) into automation pipelines. Strong understanding of API limits, execution patterns, and workflow optimization techniques. Experience building reliable scraping pipelines or using tools like Apify. Strong attention to detail and commitment to workflow reliability and data accuracy. Self directed work ethic with the ability to troubleshoot and optimize systems independently. Portfolio or examples of n8n workflows or automation systems is a plus. English proficiency: Upper intermediate (B2) or above (required). Benefits Why this freelance opportunity might be a great fit for you? Work fully remote on your own schedule with just a laptop and stable internet connection. Gain hands on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly - a distinctive skill set in a rapidly growing field. Participate in performance based bonus programs that reward high quality work and consistent delivery.

AI Chopping Block, Inc. is looking for a Full-stack Engineer in Greater London to integrate and validate LLMs in production environments. The ideal candidate has a deep understanding of AI systems beyond API integration and can address complex validation and quality assurance challenges. The position promises a transformative role in healthcare, with opportunities for career growth in AI system specialization or technical leadership. Enjoy 28 days of holiday and a flexible work arrangement in an office-first culture.

About TORTUS AI At TORTUS we work with clinicians and hospitals to provide clinically safe and reliable AI. We use speech-to-text and LLM models to infer information about a patient visit and provide verified documentation and actions - eliminating the documentation burden that costs clinicians hours every day. We've recorded over 1 million consultations. Clients include London Ambulance Service and a large proportion of UK GP surgeries. We are now entering our next phase: an AI doctor product and a £30M Series A raise. About the role Same generalist full-stack profile as our Full-stack Engineer role, but with a higher and more specific bar around AI integration. We are not looking for engineers who have called an LLM API. We are looking for engineers who have thought deeply about what it means to build reliably on top of probabilistic systems. What you'll do Everything in the Full-stack Engineer role Design and build product features integrating deeply with LLMs in production Build defensively against hallucinations, output instability, and distribution shift Contribute to approaches for validating AI output quality in multilingual contexts - e.g. validating medical notes generated in a language other than English Work with our AI research team to implement architectures and enhancements they propose What we're looking for All of the Full-stack Engineer profile, plus: Production experience building systems integrating with LLMs - well beyond API integration Strong intuition for failure modes of non-deterministic systems: output validation, fallback strategies, confidence thresholds, human in the loop design Ability to reason about AI quality in adversarial or ambiguous conditions Familiarity with prompt engineering, RAG, fine tuning, or LLM evaluation frameworks Nice to have Experience in clinical AI or high stakes AI domains Exposure to AI safety concepts applied in production Contributed to internal AI evaluation or red teaming exercises What does wild success look like? In 12-18 months, you are the go to person when the team hits a hard problem at the LLM integration layer. You have built evaluation pipelines that give the team confidence in what we ship. The Principal AI Researcher seeks you out as the translation layer between research ideas and production reality. Where does this role take you? This is one of the highest leverage engineering roles at TORTUS as AI becomes central to everything we build. You could grow into a staff engineer role specialising in AI systems, or move toward technical leadership of the Lifeboat squad as it scales. Our stack GCP GKE Terraform GitOps & ArgoCD PostgreSQL + Redis TypeScript across the stack (React, NestJS) Python/FastAPI for ML workloads Pub/Sub for events Self hosted ML models What we offer 28 days holiday + bank holidays Latest MacBook and the right equipment Office first culture based at Holborn Town Hall - typically Tuesday, Wednesday, Thursday in office; Monday and Friday flexible The chance to genuinely transform healthcare

About Tortus AI At Tortus we work with clinicians and hospitals to provide clinically safe and reliable AI. We use speech-to-text and LLM models to infer information about a patient visit and provide verified documentation and actions - eliminating the documentation burden that costs clinicians hours every day. We've recorded over 1 million consultations. Clients include London Ambulance Service and a large proportion of UK GP surgeries. We are now entering our next phase: an AI doctor product and a £30M Series A raise. About the role Senior research leadership at the intersection of product and science. You will define the AI research agenda, engage deeply with product on architectural choices, propose enhancements grounded in research, and technically guide the product engineering function in implementing those changes. You will also represent Tortus externally through publications and thought leadership - strengthening our credibility as a serious AI company operating in a high stakes clinical domain. What you'll do Define and lead the AI research agenda: clinical trust, safety, evidence-based AI, non deterministic system design Partner with product on architectural decisions - bringing a research perspective to shape the approaches we choose, not just validate them after the fact Propose enhancements to existing architectures and technically guide product engineers in implementing them Publish original research; contribute to the clinical AI academic community Represent Tortus at conferences and with clinical and regulatory stakeholders Contribute to our Class IIa medical device submission Set the technical bar for AI hiring as the team scales What we're looking for Strong research track record: publications, patents, or equivalent in uncertainty quantification, evidential deep learning, multi agent systems, clinical NLP, or trust modelling Track record working at the research/product interface - you can engage credibly with engineering teams and influence implementation without owning it Experience reasoning about non deterministic systems and building defensively against model failure Comfortable in a fast moving, commercial healthtech environment Nice to have Experience with regulated AI or medical device software Familiarity with UK/EU AI regulatory landscape (MDR, UKCA, MHRA) Clinical domain knowledge What does wild success look like? In 12-18 months, you have published at least two peer reviewed papers that are cited in the clinical AI community and referenced in our Series A materials. The product team regularly seeks your input before committing to architectural decisions. You have built a research function that gives Tortus a credible voice in responsible clinical AI - and that directly shapes what we ship. Where does this role take you? This is a role with significant upside as Tortus scales. You could grow into Chief AI Officer as the research function expands, or shape a centre of excellence in clinical AI that attracts external researchers and clinical collaborators. The work you do here will influence how AI is used in medicine at scale. What we offer 28 days holiday + bank holidays Latest MacBook and the right equipment Office first culture based at Holborn Town Hall - typically Tuesday, Wednesday, Thursday in office; Monday and Friday flexible The chance to genuinely transform healthcare

About the team The AI Deployment Engineering team works closely with frontier startups. We are trusted advisors to, and thought partners with, startups to ensure that OpenAI's technology is deployed safely and effectively, whilst also partnering with engineering, research, and product to turn those insights into evaluation systems, product improvements, and better model behavior. This team sits at the intersection of customer reality and model quality. We combine hands on technical depth with strong product judgment, helping translate complex, high value use cases into clear signals that can improve both the customer experience and the underlying systems. About the role We are seeking a technically proficient, product minded engineer to help push the frontier of advanced AI with our strategic startup customers. You'll work with some of the most exciting AI startups in the world, helping them optimize their own systems and turning those learnings into durable improvements across OpenAI's research and products. You will partner deeply on complex workflows, identify the gaps that matter, and help transform those gaps into reproducible evaluations and technical insights-helping shape OpenAI's research and product direction. This role is well suited to engineers who are equally comfortable debugging a workflow, iterating on prompts or agents, designing evaluations, and collaborating across research and product. You should be excited by ambiguous, high impact problems and motivated by the opportunity to shape how advanced AI systems improve in practice. This role is based in London. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. In this role, you will: Work directly with strategic startup customers to understand critical workflows, uncover failure modes, and identify high impact opportunities for improvement. Prototype and iterate on prompts, agents, and workflow designs to better understand system behavior and unlock customer value. Synthesize and deliver valuable feedback to the Product and Research teams, turning real usage patterns into clear, reproducible evals, benchmarks, and technical artifacts that improve model and product quality and ensure customer grounded learnings influence roadmap and model development. Build repeatable tools, patterns, and evaluation approaches that raise the quality bar across multiple use cases. Operate with strong judgment in ambiguous environments, balancing immediate technical problem solving with longer term system improvement. Build relationships within the startup ecosystem, serving as a technical partner to both individual customers and the broader community. You'll thrive in this role if you: Have strong software engineering & AI fundamentals. For example, experience as a startup CTO, software engineer, ML engineer, Data Scientist or equivalent. Experience shipping production systems end to end is a strong plus. Have experience as a technical founder, or engineer at an early stage startup. Have familiarity with, or interest in, model training pipelines and reinforcement learning. Have experience building AI applications, agents, or evaluation systems, and can reason clearly about model behavior in complex workflows. Are comfortable working directly with highly technical users and translating their challenges into concrete technical signals. Can move fluidly between prototyping, debugging, evaluation design, and cross functional collaboration. Communicate clearly across technical and non technical audiences. Bring high agency, strong product sense, and a bias toward building durable improvements rather than one off fixes. 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 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. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

AI Chopping Block, Inc. in London is looking for a technically proficient engineer to collaborate with strategic AI startups. This role involves optimizing customer systems and translating insights into evaluations that influence AI product direction. Ideal candidates will possess strong software engineering and AI fundamentals, with experience in production systems and model training. Hybrid work model offered, including relocation assistance.

Data Scientist UK (Remote or Hybrid, it's up to you) Dependent on experience Be part of our success with the opportunity to join our company equity scheme The Role Our mission is to help large successful brands like Uber, Amazon, Wise, HelloFresh (and more!) put their customers at the centre of everything they do. Using best-in-class tech in a fast-developing AI space, our Customer Experience Intelligence platform continuously analyses explicit and implicit feedback to enable our clients to identify what they should do next. We're hiring a Data Scientist to join the team and help build and ship the next generation of that stack. What You'll Be Doing Train, evaluate, and iterate on ML models for customer feedback tasks, contributing to our custom fine tuning pipelines and running experiments with rigour and clear documentation. Build and maintain LLM powered features including retrieval pipelines, reranking systems, and insight generation - with support and guidance from senior team members. Contribute to evaluation frameworks: help build test sets, define metrics, and assess model quality across classification, extraction, and generative tasks. Work on semantic search and retrieval, developing a strong working understanding of embedding based approaches and the methods that go beyond them. Write clean, well tested code and collaborate with Engineering on model integration, data pipelines, and monitoring. Work with the wider Data Science team to translate business and product requirements into practical ML experiments and solutions. Stay close to relevant research and bring useful ideas from the literature into team discussions and experiments. What You'll Need A solid working knowledge of transformer architectures and how they are applied in NLP tasks. Proficiency in PyTorch, including training loops and standard model fine tuning workflows; exposure to parameter efficient techniques such as LoRA is a plus. Experience working with real world text data across tasks such as classification, extraction, embeddings, or search - at a meaningful scale. Some exposure to instruction fine tuning or model serving, with an interest in going deeper. A grounding in classical ML and statistics, and the instinct to reach for simpler methods when warranted. Familiarity with GenAI and agentic patterns, even if hands on production experience is still developing. Clear communication skills and the ability to explain technical work to colleagues across functions. Genuine curiosity about AI and a habit of experimenting - you learn by doing. Good ownership instincts: you follow problems through rather than passing them on. Bonus MSc in Computer Science, Machine Learning, AI, Data Science, Computational Linguistics, or a closely related STEM field. Our Hiring Process Let's introduce ourselves - you'll complete an introductory asynchronous interview - we'd love to learn more about you, your ambitions, and what you're looking for in your next step. Get to know your would be manager - you'll have a call with Aji, our Chief Scientist, to learn more about the role and show off your experience. Show us how you work - you'll complete a short take home assignment Get to know your would be team - You'll meet a mix of people who you'll be working closely with from the Data Science, Engineering and Product teams. How our values and your career goals align - you'll have a call with our cofounder to learn more about life at Chattermill and ensure we're the right place for your next stage of growth. Our Perks Flexibility & Work Setup Flexible working in a choice first environment - we trust the way you want to work! Work from home allowance to set up your ideal workspace Time Off 25 days holiday + local bank holidays, plus an extra day for each year of service Your birthday off Growth & Ownership Annual learning & development budget to support your growth (increasing over time) Equity options - share in the company's success Health & Wellbeing Monthly health & wellbeing budget, increasing with length of service Optional private healthcare plan Life assurance & income protection (location dependent) Employee Assistance Programme (location dependent) for extra support when you need it Enhanced family leave (location dependent), plus fertility and neonatal leave Office Perks If you're in London, a dog friendly office with great classes, events, and a rooftop terrace Our Values We are obsessed with experience - We take our mission to rid the world of bad Customer Experience seriously, and we practice what we preach. We believe in the power of trust - Whether it's with each other, our customers, partners, or other stakeholders, we always communicate with openness and trust. We act as responsible owners - Whether it's about the company, a team, a project, or a task, having the freedom to make decisions in our area of responsibility is a crucial driver for us. We share a passion for growth & progress - On every level, we're motivated by taking on new challenges - even if they seem out of reach. We recognise that we are learning machines and we always seek to action feedback and improve collectively. We set our ambitions high but stay humble - We've come together to build a product and a category that's never been seen before. While we're an ambitious bunch with lofty goals, we don't approach this goal carelessly. We believe the right team is the key to success - At Chattermill we've learned that all our important achievements have been the result of the right people collaborating together - that's why we need you to apply today! Diversity & Inclusion We want to enable exceptional experiences for everyone, and to achieve this we need everyone's voice in our team. We are on a mission to bring more diversity into the business and to give everyone (from all backgrounds and abilities) a chance to join us, even if they may not fit all of the requirements set out in this job spec. We realise that some may be hesitant to apply for a role when they don't meet 100% of the listed requirements - we believe in potential and will happily consider all applications based on the skills and experience you have, we'd love to be part of your growth and we encourage you to apply!

AI Chopping Block, Inc. is seeking a Data Scientist based in the UK, offering flexibility in remote or hybrid work. Join a mission-driven team to leverage AI technologies for enhancing customer experience. You will be involved in training ML models, building LLM-powered features, and collaborating effectively with cross-functional teams. The ideal candidate should possess a solid understanding of NLP tasks, proficiency in PyTorch, and a genuine curiosity about AI. We offer extensive perks including a flexible work setup, health benefits, and growth opportunities.

About the team Our Retail and Consumer experts are dedicated to helping clients in an industry which is being transformed by new technologies and evolving consumer expectations. Leveraging over a decade of experience in Applied AI, we combine exceptional technical and delivery expertise to empower businesses to adapt and thrive. About the role As a Lead Data Scientist, you'll take on a pivotal, entrepreneurial role, functioning as the technical expert who thrives on complexity and commercial impact. You will be responsible for setting the technical direction and ensuring the high-quality, scalable delivery of our most challenging, high-impact projects. This position combines deep expertise in machine learning with strategic oversight to define project roadmaps, manage technical risk, and architect reliable solutions. Your focus will be on driving innovation, mentoring cross functional teams, and actively shaping both our technical standards and long term customer relationships. What you'll be doing: Setting the technical direction for complex, business-critical projects and expertly balancing trade offs between speed, innovation, and reliability. Designing and implementing reliable, production grade technical solutions, ensuring comprehensive documentation of architectures and specifications. Defining project problems, developing clear roadmaps, and overseeing end to end delivery across multi disciplinary workstreams. Leading technical scoping and feasibility studies for high value sales opportunities and strategic customer engagements. Managing relationships and communications with demanding clients, fostering trust and aligning technical solutions with shared long term commercial goals. Driving the adoption of best practices, shared resources, and robust technical processes across the wider Data Science craft. Mentoring and developing other data scientists and team members, actively contributing to the growth and technical excellence of the organisation. Who we're looking for: You bring depth of expertise in at least one machine learning domain and strong technical breadth across the entire data science landscape. You are a skilled technical leader, proficient in mentoring individuals, managing teams (including other managers), and rolling out impactful tools and workflows. You have proven project management expertise, capable of dividing complex, ill defined problems into actionable, clearly defined workstreams with timelines you can defend. You are adept at managing ill defined, high risk tasks, consistently delivering innovative and practical outcomes under commercial pressure. You possess strong customer leadership skills, able to act as a trusted technical advisor and drive long term strategic relationships with demanding clients. You excel at cross functional collaboration, effectively aligning technical strategy with Engineering, Commercial (BD), and Infrastructure teams. You have experience extending technical oversight to business unit level initiatives, using your vision to influence and contribute to organisational success. Our Interview Process Talent Team Screen (30 minutes) Introduction to the team (30 minutes) Take Home Technical Assessment Technical Interview (90 minutes) Commercial Interview (60 minutes) Our Recruitment Ethos We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We're united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations. Some of our standout benefits: Unlimited Annual Leave Policy Private healthcare and dental Enhanced parental leave Family-Friendly Flexibility & Flexible working Sanctus Coaching Hybrid Working

AI Chopping Block, Inc. is seeking a Lead Data Scientist to drive technical direction and innovation across high-impact projects. You will manage project roadmaps and oversee the delivery of reliable solutions while mentoring cross-functional teams. The ideal candidate has a strong background in machine learning and project management, with exceptional customer leadership skills. The position offers unlimited annual leave, private healthcare, and a hybrid working environment.