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Software Engineer \n\n • Salary to £60k + benefits\n, • Hybrid role - 3 days a week (Tues, Wed, Thurs) on-site in Witney, Oxfordshire,\n\n Company \n Pioneering safeguards for embodied-AI, this company is building the trust layer for autonomy and physical AI. They aim to be the global leaders in novel control assurance, pioneering trusted and ethical autonomy for humanity. Their software enables assured, trustworthy ... \n \n ZIPC1_UKTJ

Viridien () is an advanced technology, digital and Earth data company that pushes the boundaries of science for a more prosperous and sustainable future. With our ingenuity, drive and deep curiosity we discover new insights, innovations, and solutions that efficiently and responsibly resolve complex natural resource, digital, energy transition and infrastructure challenges. Are you interested in building AI systems for real-world scientific problems?Viridien is expanding its capabilities in agentic AI, large language models and reinforcement learning for complex scientific and enterprise workflows. We operate global high-performance scientific computing infrastructure delivering more than 700 petaflops and executing over one million scientific computing jobs each day across areas including geophysical imaging, materials science, biotechnology and AI-driven research. We are looking for a hands-on Machine Learning Engineer to help build and evaluate intelligent agent systems, turning emerging AI methods into robust and adaptive solutions for scientific applications.Who you'll work withAs a member of our AI Lab, you'll collaborate with senior machine learning engineers, software developers, HPC specialists and scientific domain experts across Viridien. Learn more about the team on our website, in a recent blog post featuring one of our senior machine learning engineers and from our Voices of Viridien.What you'll work onDesigning and developing single-agent and multi-agent systems.Implementing and evaluating capabilities such as reasoning, planning, task decomposition, memory, tool use and agent collaboration.Integrating LLMs, vision-language models, retrieval systems and domain-specific tools.Experimenting with fine-tuning and adapting foundation models using supervised learning, preference optimisation and reinforcement learning where appropriate.Developing training environments, reward functions, graders and feedback mechanisms.Designing evaluations, guardrails and monitoring approaches for agent reliability.Helping turn successful prototypes into APIs, services and reusable software components.What we look forEssentialDegree in computer science, artificial intelligence, machine learning, engineering or a related discipline, or equivalent practical experience.Good Python programming skills and an understanding of software engineering practices.Experience building machine-learning, generative-AI or LLM applications, gained through employment, industry or research internships, applied research or significant academic projects.Experience with PyTorch, JAX, TensorFlow or a similar framework.Familiarity with core agentic AI concepts such as tool calling, planning, memory and workflow orchestration.An understanding of reinforcement learning, preference optimisation or sequential decision-making.Some experience evaluating models or implementing ideas from machine-learning research.Desirable Familiarity with multi-agent systems using LangGraph, AutoGen, smolagents or similar frameworks.Some exposure to LLM fine-tuning or preference and reinforcement-learning approaches, such as DPO, GRPO, RLHF or RLAIF.Experience designing reward functions, graders or agent training environments.Familiarity with Model Context Protocol or other approaches to tool integration.Exposure to training or deploying open-source language or vision-language models using GPUs, including distributed training.Experience applying AI to scientific, engineering, energy or geoscience workflows.Why work with usCompetitive salary commensurate with experienceHighly attractive bonus schemeInitial 22 days annual leave with future increases, complemented by a flexible buying and selling holiday programmeHybrid working: three days in the office and two days at homeCompany pension with generous employer contributionWellbeing Unmind appA flexible benefits platform with numerous discount schemes including gym membership, restaurants, cinema tickets, and moreCycle purchase schemeFlexible private medical and dental care programmesBank Holiday Swap, allowing you to exchange a bank holiday for another day of your choiceRelaxed dress code policyLearning and developmentAt Viridien, we foster a culture of continuous learning and provide tailored training programmes through our Learning Hub, designed to enhance technical, commercial, and personal growth.We care for the environmentWe encourage and actively support a strong sense of community, through volunteering and various company initiatives. As a company we are also committed to reducing our environmental impact, improving energy efficiency and accelerating sustainable solutions.Our Hiring ProcessAt Viridien, we are committed to delivering a respectful, inclusive, and transparent recruitment experience.Due to the high volume of applications we receive, we may not be able to provide individual feedback to every applicant. Only candidates whose qualifications closely match the role criteria will be contacted for an interview. We do, however, aim to share personalized feedback with those who progress to the first round of interviews and beyond.We are also dedicated to ensuring that our hiring process accessible to all. If you require any reasonable adjustments to fully participate in the application or interview stages, please don’t hesitate to contact your recruiter directly.We see things differently. Diversity fuels our innovation, we value the unique ways in which we differ, and we are committed to equal employment opportunities for all professionals.SummaryLocation: Crawley, United KingdomType: Full time

Viridien () is an advanced technology, digital and Earth data company that pushes the boundaries of science for a more prosperous and sustainable future. With our ingenuity, drive and deep curiosity we discover new insights, innovations, and solutions that efficiently and responsibly resolve complex natural resource, digital, energy transition and infrastructure challenges. Shape the architecture scaling science and energy innovationViridien is a global HPC and technology leader with over 70 years of working in scientific computing. We operate global high-performance scientific computing infrastructure delivering more than 700 petaflops and executing over one million scientific computing jobs daily across areas including geophysical imaging, materials science, biotechnology and AI-driven research. Viridien is seeking an experienced HPC Architecture Leader to join our global HPC technology team and shape the strategy, roadmap, and delivery of our high-performance computing platforms. In this role, you will lead end-to-end architecture for next-generation HPC systems, aligning stakeholders across engineering, operations, vendors, and clients to deliver secure, scalable, and cost-optimized solutions that power mission-critical data processing and simulation workloads.This is a hands-on, highly collaborative leadership role for someone who can set technical direction, lead and develop high-performing teams, influence decisions, and deliver measurable improvements in performance, reliability, and total cost of ownership.This role can be located in our Crawley office, just south of London—well connected to the capital, the South Coast, and Gatwick Airport for international travel or our Houston office in Texas, US.Required Qualifications & ExperienceBachelor’s degree or higher in a STEM discipline (Computer Science, Engineering, Physics, or equivalent).8+ years of experience designing, implementing, and scaling large-scale HPC compute and storage architectures, with demonstrated ownership of outcomes in production environments.3+ years managing and leading an HPC technology team. Demonstrated people leadership (direct or dotted-line): mentoring, coaching, setting expectations, and building strong team culture.Proven expertise in designing performance-optimized, high-density systems utilizing both CPU and GPU technologies.Deep technical command of the HPC stack, including next-gen processors, memory subsystems, and high-speed interconnects.Comprehensive mastery of Linux-based environments and the broader HPC ecosystem.Familiarity with HPC benchmarking, monitoring, and performance-tuning tools.Strong communication and stakeholder management skills, including the ability to align teams and drive decisions across a matrixed organization.Experience leading cross-functional initiatives, including planning, risk management, and driving execution across globally distributed teams and vendors.Curious, self-driven mindset with a passion for learning and applying emerging HPC technologies.Nice to HaveExperience building and scaling technical teams (hiring, onboarding, and developing talent) in a fast-changing environment.Ability to communicate technical trade-offs to senior stakeholders and influence investment and roadmap decisions.Change leadership experience (introducing standards, improving processes, and raising engineering maturity across teams).Knowledge of high-performance networking and interconnects (e.g., InfiniBand, high-speed Ethernet fabrics).Experience with high-performance storage technologies such as Lustre, Ceph, or BeeGFS.Exposure to cloud-native and hybrid HPC technologies.Why work with us?Competitive salary commensurate with experienceHighly attractive bonus schemeInitial 22 days annual leave with future increasesCompany pension with generous employer contributionWellbeing Unmind app – puts you in control of your mental healthA flexible benefits platform with numerous discount schemes - gym membership, restaurants, cinema tickets, and moreCycle purchase schemeFlexible Private Medical & Dental care programmesBank Holiday Swap - our holiday swap programme allows you to change it for another day of your choice.Our Hiring ProcessAt Viridien, we are committed to delivering a respectful, inclusive, and transparent recruitment experience.Due to the high volume of applications we receive, we may not be able to provide individual feedback to every applicant. Only candidates whose qualifications closely match the role criteria will be contacted for an interview. We do, however, aim to share personalized feedback with those who progress to the first round of interviews and beyond.We are also dedicated to ensuring that our hiring process accessible to all. If you require any reasonable adjustments to fully participate in the application or interview stages, please don’t hesitate to contact your recruiter directly.We see things differently. Diversity fuels our innovation, we value the unique ways in which we differ, and we are committed to equal employment opportunities for all professionals.SummaryLocation: Crawley, United KingdomType: Full time

Location: Crawley, United KingdomThales is a global technology leader with more than 83,000 employees on five continents. With over 7,500 people in the UK, operating across defence, space, aerospace, and digital security, we help build a future we can all trust. Thales supports the security and stability of our nation by providing extraordinary technology to our customers, as well as delivering social value to the UK with our products and services. DDCC Head of EngineeringCrawley – Hybrid (Relocation support can be provided)About cortAIx and Thales: At Thales, we focus on building and delivering robust, real-world AI and Data solutions that make a tangible impact for our customers—and society at large. Our global cortAIx initiative unites over 600 AI and data specialists dedicated to developing trusted, operationally effective AI-powered systems for some of the most challenging and complex environments. In the UK, CortAIx is accelerating this mission by fostering technology, talent, and research focused on ethical, transparent, and explainable AI.Primary Purpose of the Role:DDCC is Thales UK’s Digital and Data Competence Centre. This includes 3 primary areas of activity:cortAIx UK & Enterprise AI: Our AI incubation and industrialisation accelerator for deployed and enterprise AI solutionsData Enablement: Delivering foundational data tools, processes and architectures to support generation of value from data at paceSovereign Cloud: Delivering cloud native platform solutions for Thales UK development and production activitiesThe DDCC Head of Engineering role is focused on technical management of engineering activities primarily supporting cortAIx UK. They manage and monitor the solution engineering activities and the teams in terms of development process, practices and tools strategies across DDCC engineering activitiesWhat are we looking for:We’re looking for an experienced Software Engineer who understands architecture and can provide cross functional leadership to a small, technical complex team to drive developments. This is very much a hands-on position, leading solution delivery by working with teams across Software, Systems, IVVQ, AI and Machine Learning.We need a solution provider, a force multiplier whose expertise sit in the delivery management of technical solutions but also can manage a small team of functional leaders and understands software architecture within safety critical environments.Due to the nature of the work, we require the successful individual to be able to hold UK EYES ONLY Security clearance. See below for further details.As DDCC Head of Engineering, your remit will cover:Stakeholder management: 1st point of contact for customer technical requirements/escalation points for scrum teamsGovernance: enforce technical direction; resolve cross-team conflicts.Talent development: hiring strategy, career ladders, mentoring systems, cross-discipline performance processes/escalation point.Change management: improving engineering effectiveness (e.g., test maturity, CI reliability, coding standards).Communication: translate leadership communication and analyse/describe impact to roadmap and trade-offs.Cross-team integration: coordinating platform, software, test/automation and support needsQuality, Safety, Cyber Assurance: verification strategy, traceability, defect management and Project Design Authority co-ordination/deliveryProcess/tooling: CI/CD for embedded, static analysis, unit/integration test frameworks, hardware-in-the-loop (HIL) testing, configuration management.Risk management: project technical risks reviews and management in conjunction AIDMKey Responsibilities and Tasks:Strategic LeadershipDevelop and execute the engineering strategy for AI products and platforms.Accountable for the technology roadmaps aligned to business objectives.Partner with executive leadership to identify and prioritise AI opportunities.Build a culture of innovation, experimentation, accountability, and continuous improvement.Act as a trusted advisor on emerging AI technologies, trends, and risks.Engineering LeadershipLead, coach, and develop Engineering Managers, Principal Engineers, AI Engineers and SW EngineersBuild and scale high-performing, diverse engineering teams.Establish engineering standards, architecture principles, and delivery practices.Drive operational excellence across reliability, security, performance, and scalability.Foster a strong engineering culture focused on quality and customer outcomes.Operational ExcellenceDefine the process for and track engineering metrics including but not limited to:ReliabilityDeployment frequencyLead timePlatform utilisationCost efficiencyDrive automation throughout the software and AI lifecycle.Success MeasuresWithin the first 12-24 months:Delivery of measurable business value from AI initiatives.Improved engineering productivity and deployment frequencyHigh employee engagement and retention.Successful implementation of AI & Engineering governance frameworks.Core Skills and Experience requiredYou will likely have academic qualifications in a relevant Engineering / Computer Science Discipline and will have experience among the following types of positions: Engineering Manager, Technical Project Manager, Software Engineering Manager, Technical Design Authority, Senior Systems / Solution Architecture roles in a relevant disciplineYou have worked on complex programmes in highly regulated environments /w defence / aerospace specific experience being of additional valueYou know how to verify the technical deliverables of engineering teams (customer needs, OCD, requirements, architecture choice…)You are able to lead and manage technical engineering projects, meeting the requirements with a clear view of the risks and opportunitiesYou have significant experience in developing high quality technical documentation aligned to specified processes and frameworksYou are able to engage and influence a diverse set of stakeholders as well as creating clear and achievable goalsYou are able to take decisions – even in uncertain contextsYou are able to drive a culture of continuous improvementExperience of having delivered operational AI solutions into embedded environments would be advantageous or knowledge/qualifications/experience that suggest you can quickly learn tools and processes which enable the establishment and smooth running of an MLOps and AI delivery organisation in a complex environmentSecurity ClearanceDue the nature of the work that we do at Thales, many of our roles are subject to security restrictions. This role requires you to hold British Nationality, dual nationality can be considered. It would be advantageous if Security Clearance is currently held, however, if not currently held, it is a requirement that the successful applicant undergo, achieve, and maintain SC Clearance prior to commencing employment. Please visit the UKSV website for further guidance- United Kingdom Security Vetting - GOV.UK (www.gov.uk)To be eligible for full SC, you generally need to have resided in the UK for the last 5 years. In some circumstances, a minimum of 3 years’ residence in the UK over the last 5 years may be accepted, with additional overseas checks.Your Career at Thales UKFuture opportunities will allow you to discover other domains or sites. You will be able to evolve and grow your Competencies in different areas: Room and attention to personal development Build your talents in another domain of Thales Group, discovering new products, new customers, new country or go to a more complex Solution Choose between a technical expertise or a leadership path Build an international career within a leading Engineering Group What we can offerWe are committed to giving you opportunities to be your best. We believe in embracing the passion and potential of our people, and to achieve this we offer market leading training, development and experiences, along with the opportunity to be mentored and coached by some of the smartest minds in the industry. We hire from within as our first priority, so you’ll have a myriad of opportunities within our diverse, global organisation.Our packages will include significant bonus, a strong pension contribution, private healthcare, development focused targets and relocation support can be provided if required along with a variety of learning, development and career enhancement opportunities. Further support can be provided towards academic and membership attainments.#LI-CL1At Thales, we ensure equal opportunities, pay and working conditions for all. The benefits we offer include private medical insurance, buying or selling annual leave, cycle to work schemes, employee discounts, paid volunteering day, stocks and shares, annual bonus and much more depending on the role. Read more about our benefits here.We are committed to creating a workplace where everyone feels valued for who they are and the unique strengths they bring. Discover more about our programmes, employee networks, wellbeing policies, and inclusive features here.If this role isn’t quite right for you, we encourage you to join our talent community where your details will be shared with our recruitment teams for other potential opportunities. Join the Talent Community here.Join Thales in the UK – Innovate with us and shape the future!SummaryLocation: CrawleyType: Full time

Viridien () is an advanced technology, digital and Earth data company that pushes the boundaries of science for a more prosperous and sustainable future. With our ingenuity, drive and deep curiosity we discover new insights, innovations, and solutions that efficiently and responsibly resolve complex natural resource, digital, energy transition and infrastructure challenges. Job Summary We’re seeking a versatile Senior Machine Learning Engineer with strong data engineering instincts and a passion for production-grade AI systems. You'll play a pivotal role across the AI development lifecycle — from data ingestion to deployment — ensuring our models are reliable, reproducible, and impactful.About the Team You’ll be joining a dynamic, globally AI team driving the application of Large Language Models (LLMs) and agentic workflows into our digital solutions. Our mission is to translate the latest advancements in AI into real business impact.Key Responsibilities LLM/NLP Model DevelopmentDeploy and fine tune LLMs models for domain-specific tasks.Build evaluation infrastructure and benchmarking pipelines to compare model performance across multiple datasets and tasks.Apply reinforcement learning, knowledge representation, and automated decision-making to solve complex problems end-to-end.Data InfrastructureCollaborate with Data Scientist to build and own data pipelines for ingestion, transformation, versioning, and labelling.Ensure robust, reproducible data loops to power iterative development.AI Workflow Design & OrchestrationOrchestrate multiple models to deliver SOTA results.Partner with Production team, Software Engineers to bring AI solutions into real-world products.Architect and orchestrate multi-model agentic workflows (function calling, tool usage, RAG, and code interpreters) and integrate them into production systemsLeadershipProvide technical leadership and mentorship to junior engineers, fostering a culture of continuous learning and innovation.Qualifications:Required:Master’s or Ph.D in Computer Science, Mathematics, Physics, Electrical Engineering, or other related technical disciplines.Strong programming skills within one or more of these development languages - C / C++ / R / Java / PythonAdvanced understanding of LLM and VLM architecture, post-training methods (fine-tuning, RL), and evaluation pipelinesExperience in data and system engineering for large-scale model workflowsProven experience with deep learning frameworks and usage of DL libraries (TensorFlow/PyTorch)Fluent with at least one of the following tools: Cursor, Windsurf, Trae, Gemini CLI, Claude Code, or Codex (or similar)Experience in applying, fine-tune, optimize and deploy LLMs to industrial-level real user case is a plusPassion and aptitude for programming and technologyEnthusiasm for analytical and problem-solving challengesStrong enterprise project experience with Machine Learning and AIAbility to define and manage project deadlines and balance workloads across a wide variety of projects.Effective communication skills to keep all stakeholders regularly informed on progress.Enthusiastic attitude towards learning and flexibility to adapt to new challenges or changes in direction.Why work with usCompetitive salary commensurate with experienceHighly attractive bonus schemeInitial 22 days annual leave with future increases, complemented by a flexible buying and selling holiday programHybrid working with two days at home, flexible workingCompany pension with generous employer contributionWellbeing Unmind app – puts you in control of your mental healthA flexible benefits platform with numerous discount schemes - gym membership, restaurants, cinema tickets, and moreCycle purchase schemeFlexible Private Medical & Dental care programmesBank Holiday Swap - our holiday swap program allows you to change it for another day of your choice!Relaxed dress code policyOur Hiring ProcessAt Viridien, we are committed to delivering a respectful, inclusive, and transparent recruitment experience.Due to the high volume of applications we receive, we may not be able to provide individual feedback to every applicant. Only candidates whose qualifications closely match the role criteria will be contacted for an interview. We do, however, aim to share personalized feedback with those who progress to the first round of interviews and beyond.We are also dedicated to ensuring that our hiring process accessible to all. If you require any reasonable adjustments to fully participate in the application or interview stages, please don’t hesitate to contact your recruiter directly.We see things differently. Diversity fuels our innovation, we value the unique ways in which we differ, and we are committed to equal employment opportunities for all professionals.SummaryLocation: Crawley, United KingdomType: Full time

Job ID: 31164596Company: Abbott LaboratoriesLocation: Witney, Oxfordshire, United KingdomEmployment type: full timeCategory: SalesIndustry: HealthcarePosted: 2026-10-12At Abbott, we believe people with diabetes should have the freedom to enjoy active lives. That’s why we’re focused on helping people with diabetes manage their health more effectively and comfortably, with life-changing products that provide accurate data to drive better-informed decisions. We’re revolutionizing the way people monitor their glucose levels with our new sensing technology.At Abbott Diabetes Care, we're transforming diabetes management through innovative technologies including the FreeStyle Libre portfolio. We're looking for a driven and commercially minded Virtual Territory Manager to support our South Region through proactive customer engagement and opportunity generation.What You'll DoProactively engage healthcare decision-makers through phone, email, and Microsoft Teams.Generate qualified meetings and opportunities for the field sales team.Build relationships with clinicians and NHS stakeholders.Partner closely with Territory Managers to improve targeting and lead quality.Maintain accurate customer and activity records in CRM.Consistently achieve activity, engagement, and opportunity generation targets.What We're Looking ForProven success in outbound sales, business development, lead generation, or virtual selling.Track record of booking sales-ready meetings, with evidence of results and conversion metrics.Strong communication skills and confidence engaging customers by phone.Experience working to KPI and activity targets.Ability to work independently, show initiative, and manage a territory virtually.Resilience, persistence, and strong organisational skills.Ability to influence clinicians and NHS stakeholders remotely.Comfortable using CRM systems, AI tools, and digital technologies to drive productivity.Why Abbott?Join a global healthcare leader where you'll help improve patient outcomes, work with market-leading technology, and develop your career in a collaborative and innovative environment.

Viridien () is an advanced technology, digital and Earth data company that pushes the boundaries of science for a more prosperous and sustainable future. With our ingenuity, drive and deep curiosity we discover new insights, innovations, and solutions that efficiently and responsibly resolve complex natural resource, digital, energy transition and infrastructure challenges. Do you enjoy solving the practical challenges of deploying AI in real-world environments?Viridien is expanding its ability to deploy secure, scalable and reliable agentic AI solutions across complex scientific and enterprise environments.We are looking for a hands-on Forward Deployed AI Engineer to help adapt, integrate and deploy agentic AI systems in production across cloud, on-premises, hybrid and restricted environments.Who you'll work withAs a member of our AI Lab, you'll collaborate with senior machine learning engineers, software developers, platform engineers, and security and infrastructure specialists as well as scientific domain experts across Viridien. Learn more about our work and the team on our website, in a recent blog post featuring one of our senior machine learning engineers and from our Voices of Viridien.What you'll work onContribute to design and implementation of production architectures for agentic AI, LLM and vision-language applications.Adapt agent workflows, models, tools, retrieval systems and configurations for production use.Integrate AI systems with enterprise APIs, databases, applications and data platforms.Help develop reusable connectors, APIs and Model Context Protocol tools.Build automated CI/CD, testing, configuration management and deployment workflows.Work with colleagues to implement authentication, access control, secrets management, security and auditability.Establish monitoring, logging, tracing, alerting and evaluation for models, agents and tools.Optimise systems for reliability, latency, throughput, scalability and infrastructure cost.Troubleshoot production issues and convert deployment experience into reusable platform capabilities.What we look forEssentialDegree in computer science, software engineering, artificial intelligence, engineering or a related discipline, or equivalent practical experience.Strong Python programming and software-engineering skills.Experience developing, integrating and operating software or AI applications.Working understanding of LLMs, agentic AI, tool calling and retrieval-augmented generation.Experience building APIs, services and data pipelines, with Docker and cloud or on-premises deployments.Understanding of authentication, networking, access control and enterprise security.Experience implementing monitoring, logging and operational support for production systems.Troubleshooting skills across application, AI, infrastructure, network and data layers.Desirable Experience deploying agentic or generative AI applications in production.Experience building and operating large-scale, distributed AI systems involving multiple agents, models, tools and services.Experience with Azure, AWS or Google Cloud, Kubernetes, Helm, Terraform and CI/CD technologies.Experience with LangGraph, AutoGen, smolagents or similar frameworks.Experience with Model Context Protocol, model-serving platforms, vector databases and LLM gateways.Experience implementing AI evaluation, observability, tracing and performance monitoring.Experience with high availability, autoscaling, load testing, incident management or restricted environments.Experience applying AI to scientific, engineering, energy or geoscience workflows.Why work with usCompetitive salary commensurate with experienceHighly attractive bonus schemeInitial 22 days annual leave with future increases, complemented by a flexible buying and selling holiday programHybrid working with two days at home, flexible workingCompany pension with generous employer contributionWellbeing Unmind app – puts you in control of your mental healthA flexible benefits platform with numerous discount schemes - gym membership, restaurants, cinema tickets, and moreCycle purchase schemeFlexible Private Medical & Dental care programmesBank Holiday Swap - our holiday swap program allows you to change it for another day of your choice!Relaxed dress code policyLearning and DevelopmentAt Viridien, we foster a culture of continuous learning and provide tailored training programs through our Learning Hub, designed to enhance technical, commercial, and personal growth.We Care about the EnvironmentWe encourage and actively support a strong sense of community, through volunteering and various company initiatives, as well as a strong company commitment to protecting our environment through sustainable solutions, energy saving and waste reduction enterprises.Our Hiring ProcessAt Viridien, we are committed to delivering a respectful, inclusive, and transparent recruitment experience.Due to the high volume of applications we receive, we may not be able to provide individual feedback to every applicant. Only candidates whose qualifications closely match the role criteria will be contacted for an interview. We do, however, aim to share personalized feedback with those who progress to the first round of interviews and beyond.We are also dedicated to ensuring that our hiring process accessible to all. If you require any reasonable adjustments to fully participate in the application or interview stages, please don’t hesitate to contact your recruiter directly.We see things differently. Diversity fuels our innovation, we value the unique ways in which we differ, and we are committed to equal employment opportunities for all professionals.SummaryLocation: Crawley, United KingdomType: Full time

Verification Engineer In order to make an application, simply read through the following job description and make sure to attach relevant documents. Salary to £60k + benefits Hybrid role - 3 days a week (Tues, Wed, Thurs) on-site in Witney, Oxfordshire, Company Pioneering safeguards for embodied-AI, this company is building the trust layer for autonomy and physical AI. They aim to be the global leaders in novel control assurance, pioneering trusted and ethical autonomy for humanity. Their software enables assured, trustworthy deployment of both traditional deterministic autonomy and AI or novel control methods, in any application, for the first time. They do all of this with no need for data or communications links, and they begin the journey by applying their tech to autonomous systems in the aerospace and land domains. The Role As part of a highly specialised engineering team, you will contribute to the design, development, verification and certification of embedded safety-critical systems that provide assurance and runtime safety functions across autonomous platforms. The platform is being developed providing mathematically verifiable software foundations suitable for the highest levels of safety assurance. Successful candidates will work across: Safety-critical embedded software development Runtime assurance architectures Autonomous flight safety systems Mission assurance and control systems Verification and validation activities Certification-focused software engineering Safety monitoring and fail-safe architectures Airworthiness and autonomy assurance frameworks The engineering team is focused on delivering solutions that support highly regulated autonomous operations, including SORA-based operating environments and future certified autonomous aviation systems. Responsibilities Define and execute verification strategies for safety-critical software and systems. Develop test frameworks, verification plans and certification evidence. Support software verification activities aligned with DO-178C objectives. Perform requirements-based verification and validation. Support certification artefact generation and traceability. Conduct integration, system and qualification testing. Work closely with software engineers to ensure compliance with safety objectives. Support the maturation of the company's assurance framework and verification capability. Demonstrate leadership in achieving the company's certification objectives. Must-Have Experience Strong background in safety-critical verification and validation. Understanding of advanced software verification and testing methodologies, such as automated testing, fuzz testing, Monte Carlo simulation, fault injection, or other techniques used to validate the robustness and safety of complex embedded systems. Experience working within regulated engineering environments. Understanding of software lifecycle and verification processes. Experience with requirements-based testing and traceability. Knowledge of embedded systems and real-time software. Experience generating certification evidence and compliance documentation. Desirable Experience DO-178C verification experience. Automotive (ISO26262 / IEC65108). DAL-A or DAL-B programme experience. Aerospace, defence or autonomous systems background. Formal verification or static analysis experience. Real-time verification tooling for safety-critical projects including SIL, HIL, SIH. Verification of flight control or mission-critical systems. Knowledge of SORA, airworthiness or aviation certification frameworks. Experience supporting autonomous aircraft, UAV or UAS programmes. Other Stuff Salary to £60k Hybrid role - 3 days a week on site in Witney, Tues, Wed, Thurs Benefits include; EV Car Scheme, Cycle to Work Scheme, Company socials, Thursday in-office lunch on them, 25 days holiday NB: for non-UK Citizens; we cannot accept applications from anyone requiring sponsorship (now or in the future) for UK permanent employment status. xrnqpay If you are utilising a work visa this must allow you to work in the UK unrestricted for at least the next 5 years. Profile 29 recruitment keywords: Machine Learning, Reinforcement Learning, Autonomous Systems, Assurance, Hardware, Software, Systems Integration, Artificial Intelligence, Embedded Software, Embedded Systems, Space Autonomy, Assured Autonomy, High Integrity Software, Assured Autonomy, and Assured Autonomous Behaviours Witney, Oxfordshire hybrid remote

Hone builds AI that owns outcomes, not tasks: agentic systems that work towards goals over weeks and months, deploy themselves, and improve over time.Models keep getting smarter, but outside of coding most organizations can't absorb that intelligence, and the gap between model capability and the val

Hone in San Francisco is building engines that run across a company’s systems. You’ll own the surfaces where people set up, supervise and calibrate engines, end to end from schema to UI: onboarding, real-time activity, reviews, routines, memory and permissions. We’re seeking engineers with 2+ years of full‑stack experience, who have shipped products to real users and who can pair Python, TypeScript and React with thoughtful product and design judgment. #J-18808-Ljbffr

Hone is building AI engines that own outcomes and learn over time. As the first designer, you will own the UX paradigms for multiplayer, asynchronous, and autonomous systems—covering product design end to end, the design system, and Hone's brand and marketing site. You will shape interfaces that support engine onboarding, decision views, and reversible autonomy, working with engineers and product teams to make complex tech approachable and effective. #J-18808-Ljbffr

Location: SF or NYC preferred (occasional travel to client sites) Bunkerhill partners with leading health systems to design and deploy AI-enhanced clinical workflows that are used in real clinical operations. We work directly with clinicians, operations leaders, and IT teams to turn messy clinical reality into scalable, high-impact AI workflows. We are hiring our first Forward Deployed Product Leads to work directly with health systems and own the successful deployment of AI-enabled care delivery. You will be one of the first people in this role and will help define how AI workflows are designed, deployed, and scaled across Bunkerhill’s customer base. The Forward Deployed Product Lead owns the end-to-end success of AI deployments across a portfolio of health systems—from discovery through go-live and ongoing optimization. This is a hands-on role. You will personally design, configure, and deploy AI workflows and agents inside Bunkerhill’s platform—not just define requirements for others to build. Role mix (approx.): • 25% pre-sales: discovery, solution design, demos, pilot scoping, • 75% post-sales: implementation, workflow build-out, training, iteration, and optimization, • Design, test, and refine AI agents and prompt logic within the platform using modern LLM tools., • Formalize clinical reasoning and workflow logic into structured, reliable, and audit-friendly agent designs., • Evaluate outputs against clinical and operational expectations; debug edge cases and failure modes., • Develop reusable workflow patterns and agent templates that can be deployed across customers., • Map current-state clinical workflows and design future-state workflows that incorporate AI agents and automation., • Assemble end-to-end solutions using Bunkerhill’s platform (data inputs → AI agents → work queues → clinician UI → reporting)., • Identify product gaps encountered in the field and write concise product briefs to unlock new capabilities, speed deployments, and expand into new specialties., • Partner closely with engineering and product teams to refine, prioritize, and ship improvements., • Serve as the primary day-to-day partner for health system customers, working with frontline staff (schedulers, nurses, coordinators), managers, and executive leaders., • Run structured discovery to understand current workflows, pain points, clinical constraints, and operational goals., • Translate ambiguous problems into clearly scoped deployments with defined success criteria., • Drive change management: timelines, stakeholder alignment, training sessions, rollout plans, and adoption tracking., • Build trust through clear, respectful communication at every level of the organization., • You have a strong sense of ownership and are comfortable being accountable for real-world outcomes., • You have a solid clinical foundation and can quickly learn new clinical domains and workflows., • You are comfortable working directly with both frontline clinical staff and senior executives., • You think like a product builder: you see patterns across customers, write clearly, and focus on scalable solutions rather than one-off custom work., • You are excited about LLMs as practical tools for building durable workflows, not just demos., • You are structured and analytical, but pragmatic and scrappy in imperfect environments., • A traditional software engineering background is not required; experience building within platforms, configuring complex systems, or deploying operational workflows is a strong fit., • Real impact at leading health systems. Our Carebricks platform is live at UTMB Health, Cleveland Clinic, Mayo Clinic, and dozens of other hospitals across the U.S., powering workflows like incidental findings follow-up, prior authorization, referral routing, and more., • Award-winning AI implementation. Bunkerhill was recently named “Best in AI Implementation” in Inc.’s 2025 Best in Business Awards for the way Carebricks lets clinical and operational teams build and deploy AI agents that actually run in day-to-day workflows. Business Wire, • Backed by top-tier investors. We’re backed by Sequoia Capital, Felicis, Optum Ventures, SciFi VC, SV Angel, and others, with a raised $25M Series B led by Khosla Ventures., • Recognized as one of AI’s “killer apps.” Sequoia highlighted Bunkerhill as part of the rising cohort of “AI’s Killer Apps” in its AI Ascent keynote, alongside companies like LangChain and OpenEvidence. LinkedIn, • Regulatory and clinical credibility, not just demos. Our platform incorporates multiple FDA-cleared algorithms, including models for cardiovascular findings such as aortic valve and mitral annular calcification, now deployed as part of Carebricks in real clinical workflows., • You’re joining at an inflection point: revenue has leapt from early pilot scale to multi-million-dollar ARR in the last year, as health systems standardize critical workflows on Bunkerhill, • A chance to help define the category. Bunkerhill’s mission is to close the gap between the potential of AI in healthcare and its reality in clinical practice. As one of the first Forward Deployed Product Leads, you’ll help define how health systems design, ship, and scale AI-enhanced workflows—not just at one hospital, but across a growing network of top institutions. #J-18808-Ljbffr

Hone builds AI that owns outcomes, not tasks: agentic systems that work towards goals over weeks and months, deploy themselves, and improve over time. Models keep getting smarter, but outside of coding most organizations can't absorb that intelligence, and the gap between model capability and the value derived from it keeps widening. The reasons are many, from human incentives to org design, but at the core we think it's a technology problem. Hone builds engines: AI systems that you hand a goal, like "keep the recruiting pipeline healthy." An engine builds itself, maintains its own agents and code, pulls in people when it needs judgment, and learns from every correction. Leading AI companies and global enterprises already run engines across funnel optimization, procurement, deal sourcing, asset management, financial risk, and product and customer delivery. We measure ourselves by the real-world economic impact our engines create, not benchmark scores. We're ex-founders and early engineers from Cognition, Mercor, Ramp, Jane Street, Decagon, Brex, and Harvey, backed by Benchmark and Index Ventures. Engines are persistent and multiplayer: they run for weeks or months across a company's systems, work towards outcomes autonomously, and pull in people when they need judgment. Most of the interaction patterns for this kind of AI don't exist yet. You'll own the surfaces where people set up, supervise and calibrate engines, end to end from schema to UI: onboarding, real-time activity, review and approvals, routines, memory, permissions, and the tools where people already work. Engine creation, onboarding and calibration, from first goal to production. Interfaces that make a long-running agent swarm easy to understand: what it's doing, why, and what it plans to try next. Task inbox, approvals and review, and the loop that turns each correction into lasting changes in engine behavior. Frontier interfaces and generative UI: give engines the tools to build custom interfaces that elicit user feedback and judgment in context. Multiplayer interaction with one persistent engine: shared and personal memory, conflicting feedback, per-person permissions. Engine surfaces in chat and email. 2+ years of engineering experience, or equivalent depth from open source or your own projects Time at a fast-growing startup You've built products from scratch and shipped them to real users You've owned polished features end to end, from backend to UI Strong product and design judgment: what to cut, what to polish, when to ship Strong full-stack fundamentals: Python, TypeScript, React, Postgres, real-time interfaces, debugging unfamiliar code You use coding agents every day and still understand every line you ship You build and tinker for fun because you genuinely care about how products are made and used You've founded a company or shipped agent products You work where design and engineering overlap: you prototype in code and sweat spacing, motion and copy Intro with a co-founder. Technical screen. Product engineering deep dive. Two-day work trial in San Francisco. References. Offer. Location: San Francisco, in person, Sunday to Friday. Compensation: Competitive salary + meaningful equity. Visa: We sponsor visas and support you through the immigration process. Benefits: Health and dental insurance, maternity and parental support, and relocation support. #J-18808-Ljbffr

Hone is hiring a security engineer to own isolation, identity, and defenses for engine-based AI systems operating inside sensitive enterprise environments. You will design sandboxing, credentials, and robust security controls across multi-tenant deployments. Join a fast-growing startup building agent-based AI engines. You will work on security across the stack, including threat modeling, incident response, and tooling for detection and response. #J-18808-Ljbffr

Hone is hiring a backend-focused engineer to own the core infra that powers our agentic AI engines. You will maintain sandboxes, runners, and the event network that ties engines to customer systems, building scalable and robust infrastructure. The role requires design and operation of production-scale systems, with a strong emphasis on distributed architectures, concurrency, and secure, efficient execution. San Francisco-based, visa sponsorship offered. #J-18808-Ljbffr

Hone builds AI that owns outcomes, not tasks: agentic systems that work towards goals over weeks and months, deploy themselves, and improve over time. Models keep getting smarter, but outside of coding most organizations can't absorb that intelligence, and the gap between model capability and the value derived from it keeps widening. The reasons are many, from human incentives to org design, but at the core we think it's a technology problem. Hone builds engines: AI systems that you hand a goal, like "keep the recruiting pipeline healthy." An engine builds itself, maintains its own agents and code, pulls in people when it needs judgment, and learns from every correction. Leading AI companies and global enterprises already run engines across funnel optimization, procurement, deal sourcing, asset management, financial risk, and product and customer delivery. We measure ourselves by the real-world economic impact our engines create, not benchmark scores. We're ex-founders and early engineers from Cognition, Mercor, Ramp, Jane Street, Decagon, Brex, and Harvey, backed by Benchmark and Index Ventures. Engines orchestrate agent swarms for weeks or months, hold state, and take real actions inside a company's systems. You'll own the layer every engine runs on as we scale: sandboxes and their state, the runners that house our harness, the event infrastructure that connects it all, and the architecture that lets us deploy seamlessly into customer environments. MicroVM sandboxes that live for months, with snapshotting, forking and replay. Harness runners that are durable, efficient, and nearly free to start. Event infrastructure that connects engines, agents, sandboxes and customer systems. Concurrency, synchronization and locking within agent swarms. One deployment architecture for SaaS, single-tenant and customer VPCs. Internal AI tooling that automates our infra, deployment monitoring, and maintenance. 2+ years of engineering experience, or equivalent depth from research, open source or your own projects Time at a fast-growing startup You've designed and built systems from scratch You've scaled and operated production infrastructure under real load Strong systems fundamentals: distributed systems, Linux, networking, concurrency, file systems You use coding agents every day and still understand every line you ship You build and tinker for fun because you genuinely care about how the technology works You've built a sandboxing, durable-execution or browser-infra product Security experience, traditional or agent-specific: network sandboxing, RBAC, prompt injection. A CTF background is a plus. Intro with a co-founder. Technical screen. Infrastructure deep dive. Two-day work trial in San Francisco. References. Offer. Location: San Francisco, in person, Sunday to Friday. Compensation: Competitive salary + meaningful equity. Visa: We sponsor visas and support you through the immigration process. Benefits: Health and dental insurance, maternity and parental support, and relocation support. #J-18808-Ljbffr

Hone is building AI engines that own outcomes and run themselves.We’re seeking a hands-on operator to work directly with the co-founders in San Francisco, shaping what a person should handle and what an engine should take on next.You’ll manage founder calendars, recruit coordination, and oversee

Hone builds AI that owns outcomes, not tasks: agentic systems that work towards goals over weeks and months, deploy themselves, and improve over time. Models keep getting smarter, but outside of coding most organizations can't absorb that intelligence, and the gap between model capability and the value derived from it keeps widening. The reasons are many, from human incentives to org design, but at the core we think it's a technology problem. Hone builds engines: AI systems that you hand a goal, like "keep the recruiting pipeline healthy." An engine builds itself, maintains its own agents and code, pulls in people when it needs judgment, and learns from every correction. Leading AI companies and global enterprises already run engines across funnel optimization, procurement, deal sourcing, asset management, financial risk, and product and customer delivery. We measure ourselves by the real-world economic impact our engines create, not benchmark scores. We're ex-founders and early engineers from Cognition, Mercor, Ramp, Jane Street, Decagon, Brex, and Harvey, backed by Benchmark and Index Ventures. Hone builds engines that run business functions, and we run our own company the same way. You'll work directly with Hone's co-founders to own the motions that run Hone, and hand each to an engine once it works: recruiting, partnerships and channels, pricing and contracting, the operating cadence, and special projects. This role requires willingness to flex across many functions and stakeholders to build Hone into a scalable machine. For exceptional candidates, this role is Chief of Staff to the co-founders. The following is an illustrative list of opportunity areas where you'll own building systems from scratch. At any given time, you may own anywhere from 2-3 of these areas: The recruiting system end to end: applicant tracking, agency partners, pipeline cadence and network activation. Strategic partnerships and channels that create real distribution. Pricing, packaging and contracting: rate cards, deal structures and contract terms. Operating cadence: planning, weekly goals, dashboards, and board and investor updates. Special projects that don't fit anywhere yet, from first version to running motion. Real operating experience at a fast-growing startup, not just advising You've built new functions, motions, or organizations from scratch, and built them to keep running in your absence You've run them at scale and kept them running Strong operating fundamentals: planning, metrics, dashboards, written decisions Commercial judgment: you've priced, negotiated or structured deals You use AI agents every day to automate real parts of your work You genuinely care about building the machinery that makes a company run A start in finance, private equity, consulting or venture, followed by hands-on startup operating Experience building or supporting the growth of AI products, including in areas such as pricing and deployments. Intro with a co-founder. Pricing and packaging case. Stakeholder and deployment conversation. Three-hour onsite in San Francisco. References. Offer. Location: San Francisco, in person, Sunday to Friday. Compensation: Competitive salary + meaningful equity. Visa: We sponsor visas and support you through the immigration process. Benefits: Health and dental insurance, maternity and parental support, and relocation support. #J-18808-Ljbffr

Abridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients. Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems. We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. We have offices located in the Mission District in San Francisco, the SoHo neighborhood of New York, and East Liberty in Pittsburgh. We’re hiring a PM to join our growing Life Sciences team as its second PM. You’ll own a product area end to end, working alongside our existing Life Sciences PM to shape and build products that create value for life sciences partners and health systems. This is an early-stage opportunity with significant room to shape what we build. You’ll turn customer needs into a focused roadmap, lead discovery, and partner with engineering, ML, design, and clinical teams to bring new products to market. You’ll also work closely with business development and sales to connect product decisions to commercial outcomes. The right person has built products for or within life sciences, brings strong product judgment, and can move from an ambiguous opportunity to a product customers use and pay for. Own a Life Sciences product area end to end. Define the customer problem, product direction, roadmap, and success measures for your area, in alignment with the broader Life Sciences strategy. Shape the strategy. Prioritize opportunities, coordinate shared dependencies, and make tradeoffs across the portfolio. Lead discovery with life sciences partners. Understand their workflows, data needs, buying processes, and willingness to pay. Translate what you learn into clear product decisions. Build and ship new products. Work with engineering, ML, design, and clinical teams to define requirements, scope initial releases, and deliver useful, trustworthy experiences. Turn early engagements into repeatable products. Distinguish customer‑specific requests from needs shared across the market, and build capabilities that can serve multiple partners. Connect product development to commercialization. Partner with business development and sales on pilot scope, product positioning, pricing inputs, and measures of customer value. Build with privacy and trust at the center. Work with legal, clinical, and engineering teams to establish appropriate data use, evaluate constraints, and make decisions that protect patients and health system relationships. Measure outcomes and iterate. Define how you’ll assess product quality, adoption, customer value, and business impact, then use evidence to improve the product. 5+ years of product management experience, with meaningful time spent building products for or within life sciences. Pharma, biotech, medical device, or health data and analytics companies. 0-to-1 experience. You’ve shipped new products. Commercial fluency. You've worked closely with sales, partnerships, or BD on early-stage deals Comfort with ambiguity. You're good at running discovery, forming hypotheses, and updating quickly when you're wrong. Strong cross-functional credibility. You can talk to ML scientists about model outputs, to lawyers about data use agreements, and to a pharma VP about their clinical development pipeline. Clear, direct communication. You write and speak well. You can take something complicated and make it simple without losing precision. Experience with real-world evidence, observational data, or clinical data platforms (e.g. Flatiron, Symphony Health, IQVIA). Familiarity with how pharma companies structure and fund digital health partnerships or data licensing deals. Prior work at the intersection of AI/ML and clinical data. Experience with IRB considerations, HIPAA, or de-identification frameworks. This role is a hybrid position and can be based out of our New York City office or San Francisco Office. It is 3-days in office, Monday, Wednesday, and Friday. There are no exceptions to location requirement or in-office policy. At Abridge, we’re transforming healthcare delivery experiences with generative AI, enabling clinicians and patients to connect in deeper, more meaningful ways. Our mission is clear: to power deeper understanding in healthcare. We’re driving real, lasting change, with millions of medical conversations processed each month. Joining Abridge means stepping into a fast-paced, high-growth startup where your contributions truly make a difference. Our culture requires extreme ownership—every employee has the ability to (and is expected to) make an impact on our customers and our business. Beyond individual impact, you will have the opportunity to work alongside a team of curious, high-achieving people in a supportive environment where success is shared, growth is constant, and feedback fuels progress. At Abridge, it’s not just what we do—it’s how we do it. Every decision is rooted in empathy, always prioritizing the needs of clinicians and patients. We’re committed to supporting your growth, both professionally and personally. Whether it's flexible work hours, an inclusive culture, or ongoing learning opportunities, we are here to help you thrive and do the best work of your life. If you are ready to make a meaningful impact alongside passionate people who care deeply about what they do, Abridge is the place for you. Generous Time Off: 14 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees Comprehensive Health Plans: Medical, Dental, and Vision coverage for all full-time employees and their families. Generous HSA Contribution: If you choose a High Deductible Health Plan, Abridge makes monthly contributions to your HSA. Paid Parental Leave: Generous paid parental leave for all full-time employees. Family Forming Benefits: Resources and financial support to help you build your family. 401(k) Matching: Contribution matching to help invest in your future. Personal Device Allowance: Tax free funds for personal device usage. Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits. Lifestyle Wallet: Monthly contributions for fitness, professional development, coworking, and more. Mental Health Support: Dedicated access to therapy and coaching to help you reach your goals. Sabbatical Leave: Paid Sabbatical Leave after 5 years of employment. Compensation and Equity: Competitive compensation and equity grants for full time employees. ... and much more! Abridge is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability. We're committed to providing reasonable accommodations throughout the interview process. Once you submit your application, we'll follow up with details on how to request an accommodation for interviewing, completing any assessments, or otherwise participating in the selection process. #J-18808-Ljbffr

Hone builds AI that owns outcomes, not tasks: agentic systems that work towards goals over weeks and months, deploy themselves, and improve over time. Models keep getting smarter, but outside of coding most organizations can't absorb that intelligence, and the gap between model capability and the value derived from it keeps widening. The reasons are many, from human incentives to org design, but at the core we think it's a technology problem. Hone builds engines: AI systems that you hand a goal, like "keep the recruiting pipeline healthy." An engine builds itself, maintains its own agents and code, pulls in people when it needs judgment, and learns from every correction. Leading AI companies and global enterprises already run engines across funnel optimization, procurement, deal sourcing, asset management, financial risk, and product and customer delivery. We measure ourselves by the real-world economic impact our engines create, not benchmark scores. We're ex-founders and early engineers from Cognition, Mercor, Ramp, Jane Street, Decagon, Brex, and Harvey, backed by Benchmark and Index Ventures. Engines run for weeks and months inside real companies, where goals are rarely fully specified and feedback arrives late, partially, and through people. You'll own how engines improve: offline evals, simulations, memory, and the self-improvement loops that turn production feedback into verified changes to skills, memory, code and policies. Simulations built from company context with simulated users and connectors to evaluate engines on tasks that take weeks or months. Turning production traces into simulations that we can rewind, fork with one change, and run forward, keeping the simulated world consistent. Memory systems that store, retrieve, and compact what engines learn. Self-improvement loops that turn traces into verified changes to skills, memory, code and policies. Grading and credit assignment over month-long trajectories. 2+ years of engineering experience, or equivalent depth from research, open source or your own projects Time at a fast-growing startup You’ve shipped applied ML systems from scratch as an engineer, not only papers You’ve run evals and experiments rigorously against production systems Strong fundamentals: ML evaluation, experimental design, statistics, LLM agents You use coding agents every day and still understand every line you ship You build and tinker for fun because you genuinely care about how the technology works Harness, post-training or applied AI experience at a lab or applied AI team Published research, especially on agent memory or continual learning Intro with a co-founder. Technical screen. Research deep dive. Two-day work trial in San Francisco. References. Offer. Location: San Francisco, in person, Sunday to Friday. Compensation: Competitive salary + meaningful equity. Visa: We sponsor visas and support you through the immigration process. Benefits: Health and dental insurance, maternity and parental support, and relocation support. #J-18808-Ljbffr

Bunkerhill Health brings the latest in AI technology to health systems at the scale and speed of software. We partner with leading health systems to design and deploy AI enhanced clinical workflows that run in real clinical operations, and our work directly impacts tens of thousands of patients every year. Our Carebricks platform is live at UTMB Health, Cleveland Clinic, Mayo Clinic, and dozens of other hospitals across the US, powering workflows like incidental findings follow up, prior authorization, and referral routing. Bunkerhill was named “Best in AI Implementation” in Inc.’s 2025 Best in Business Awards, and Sequoia highlighted us as one of AI’s “killer apps” in its AI Ascent keynote. We’re proud to be backed by world class investors including Sequoia Capital, Felicis, Optum Ventures, SciFi VC, SV Angel, and Y Combinator. We raised $55M in total funding, and revenue has grown from early pilots to multi million dollar ARR in the last year as health systems standardize critical workflows on Bunkerhill. We have a beautiful sunny office in SoMa, San Francisco, and we go in 4x a week. Every person we hire shapes what Bunkerhill becomes. Recruiting works directly with our founders and hiring managers to define what exceptional looks like and to find and close people who care about bringing AI into healthcare the right way. We’re AI native, we hold a high bar, and we move quickly. We want every candidate, hired or not, to walk away impressed by how we treated them. We’re looking for a Recruiter to own full cycle hiring across Engineering and Operations, including roles like AI Product Engineer, Forward Deployed Engineer, Forward Deployed Product Lead, and Technical Implementation Program Manager. You’ll have real ownership and autonomy as a thought partner to hiring managers, from shaping the role to closing the offer. This role requires being in our SF office 4 days a week. You’ll often be the first face candidates meet when they visit, giving office tours, hosting onsites, and making sure everyone who walks through our doors feels welcome. Partner with founders and hiring managers to build our Engineering and Operations teams Source and close top talent through creative outreach, referrals, and events, and tell the Bunkerhill story to candidates who have never considered healthcare Use AI tools to scale your sourcing, outreach, and recruiting operations so one recruiter can do the work of several Build and optimize interview processes in Ashby for speed and a great candidate experience Host candidates in SF and make every onsite memorable 2+ years of full cycle recruiting experience at a fast growing startup Strong comfort using AI tools to scale sourcing, outreach, and recruiting operations A track record of hiring technical talent in competitive markets An effective communicator who builds strong partnerships with hiring managers and candidates alike Comfortable navigating ambiguity and a fast paced environment Experience with Ashby, LinkedIn Recruiter, Juicebox, or similar tools A data driven approach to unblocking hiring challenges and informing decisions A genuine interest in applying technology to improve healthcare Equity Comprehensive benefits (medical, dental, vision, commuter, and 401(k)) Professional development and growth opportunities We aim to compensate everyone on our team fairly. All members of the team are compensated based on market data, and we regularly reevaluate using data from our compensation data partners. #J-18808-Ljbffr

Hone is building AI engines that own outcomes, not tasks, with agents that learn and improve over time. This role focuses on offline evals, simulations, memory, and self-improvement loops that translate production feedback into updated skills, memory, code and policies. You will work on memory systems, grading trajectories, and long-horizon evaluations that shape practical agent behavior in real companies. #J-18808-Ljbffr

Bunkerhill Health is seeking a Recruiter to own full cycle hiring across Engineering and Operations, including roles like AI Product Engineer, Forward Deployed Engineer, Forward Deployed Product Lead, and Technical Implementation Program Manager. You’ll have real ownership and autonomy as a thought partner to hiring managers, from shaping the role to closing the offer. This role requires being in our SF office 4 days a week. #J-18808-Ljbffr

Hone builds AI that owns outcomes, not tasks: agentic systems that work towards goals over weeks and months, deploy themselves, and improve over time. Models keep getting smarter, but outside of coding most organizations can't absorb that intelligence, and the gap between model capability and the value derived from it keeps widening. The reasons are many, from human incentives to org design, but at the core we think it's a technology problem. Hone builds engines: AI systems that you hand a goal, like "keep the recruiting pipeline healthy." An engine builds itself, maintains its own agents and code, pulls in people when it needs judgment, and learns from every correction. Leading AI companies and global enterprises already run engines across funnel optimization, procurement, deal sourcing, asset management, financial risk, and product and customer delivery. We measure ourselves by the real-world economic impact our engines create, not benchmark scores. We're ex-founders and early engineers from Cognition, Mercor, Ramp, Jane Street, Decagon, Brex, and Harvey, backed by Benchmark and Index Ventures. Hone runs its own operations on engines. You'll work directly with the co-founders and own the work that keeps them and the company moving, including deciding what a person should handle and what an engine should: founder support, recruiting coordination, company logistics, events and community, and the systems behind them. Co-founder calendars, inbox triage and travel. Recruiting coordination: interview scheduling, onsites and candidate logistics. Company logistics, the office, and operational admin like NDAs and records. Dinners, events and community, from guest list to follow-up. Relationship outreach, applications and company presence. Lightweight systems and AI automations that make recurring work run itself. Experience supporting founders or executives at a fast-growing startup You've built systems and processes from scratch You're extremely meticulous and catch the missed detail before anyone else You see what needs doing and close the loop without being chased Strong judgment on what to handle yourself, what to elevate, and when You use AI tools every day to automate recurring work You're warm and socially confident with candidates, guests and partners You genuinely enjoy making things run well Experience in recruiting coordination You've run events or built a community Intro call. Conversation with a co-founder. Conversation with a second co-founder. Half-day onsite in San Francisco. References. Offer. Location: San Francisco, in person, Monday to Friday. Compensation: Competitive salary + meaningful equity. Visa: We sponsor visas and support you through the immigration process. Benefits: Health and dental insurance, maternity and parental support, and relocation support. #J-18808-Ljbffr

Howden Insurance Local UK is seeking a Cloud Integration & Automation Engineer to design, build, and support cloud data integrations using Azure services. You will automate infrastructure with IaC, establish observability, and enable secure, private connectivity while driving efficiency with automation and AI-powered solutions. You’ll collaborate with architects and analysts to scope and estimate integration work, promote secure practices, and document solutions for cross-team reliability. #J-18808-Ljbffr

Alt in San Francisco is hiring its first product designer to shape Carebricks, a healthcare AI-enabled platform used across health systems.

Howden is a global insurance group with employee ownership at its heart. Together, we have pushed the boundaries of insurance. We are united by a shared passion and no-limits mindset, and our strength lies in our ability to collaborate as a powerful international team comprised of 23,000 employees spanning over 56 countries. People join Howden for many different reasons, but they stay for the same one: our culture. It’s what sets us apart, and the reason our employees have been turning down headhunters for years. Whatever your priorities – work / life balance, career progression, sustainability, volunteering – you’ll find like-minded people driving change at Howden. Cloud Integration & Automation Engineer Location: Remote/Hybrid/Witney Type: Fixed-Term (12 Months), Full-time Team: Cloud Integration & Automation About the Role Are you passionate about making business data flow seamlessly and securely? Do you thrive on automating processes, integrating systems, and unlocking efficiency with cloud and AI? Join our team as a Cloud Integration & Automation Engineer and help us deliver the next generation of business automation and data connectivity. You’ll work hands-on with Azure Integration Services, automation tools, and AI-powered solutions to streamline business data transit, drive operational efficiency, and enable smarter business outcomes. What You’ll Do • Design, build, and support cloud integrations using Azure services (API Management, Logic Apps, Service Bus, Event Grid, Data Factory, and Azure Functions) to connect business systems and automate data flows., • Automate infrastructure and deployments using Infrastructure as Code (Bicep), ensuring repeatable, secure, and scalable environments., • Implement and maintain observability , set up dashboards, alerts, and logging (App Insights, Log Analytics, KQL) so we always know how our integrations are performing., • Enable secure, private connectivity for business data using Azure networking features (Private Link, Private DNS, Managed VNETs)., • Drive business efficiency by automating manual processes, integrating new SaaS/data sources, and leveraging AI and Power Platform tools where they add value., • Contribute to solution design , work with architects and business analysts to scope, estimate, and document integration solutions that meet business needs., • Champion best practices in security, cost management, and documentation, ensuring our solutions are robust, efficient, and well-understood. What We’re Looking For You’ll be a great fit if you have: • Experience building and supporting integrations on Azure (API Management, Logic Apps, Service Bus, Event Grid, Data Factory, Azure Functions)., • Hands-on skills with Infrastructure as Code (ideally Bicep, but ARM or Terraform also valued)., • A track record of automating deployments and promoting solutions through multiple environments (dev/test/prod) using CI/CD pipelines., • Familiarity with monitoring and troubleshooting integrations using Azure’s observability tools (App Insights, Log Analytics, KQL)., • Understanding of secure networking in Azure (Private Endpoints, Private DNS, VNETs)., • A focus on business outcomes and always looking for ways to automate, streamline, and improve data flows and processes., • Clear, concise communication skills, able to document solutions, estimate work, and explain technical concepts to non-technical colleagues., • An interest in (or experience with) AI-powered automation, Power Platform, or Copilot Studio is a plus. Why Join Us? • Impact: Your work will directly improve business efficiency, data quality, and decision-making., • Growth: We’ll support your learning in AI, automation, and advanced integration patterns., • Collaboration: Work with a friendly, expert team that values knowledge sharing and continuous improvement., • Innovation: Be part of a team that’s always looking for smarter, faster, and more reliable ways to improve business efficiency., • Our successes have all come from someone brave enough to try something new, • We support each other in the small everyday moments and the bigger challenges, • We are determined to make a positive difference at work and beyond We’re committed to providing reasonable accommodations at Howden to ensure that our positions align well with your needs. Besides the usual adjustments such as software, IT, and office setups, we can also accommodate other changes such as flexible hours or hybrid working. If you’re excited by this role but have some doubts about whether it’s the right fit for you, send us your application – if your profile fits the role’s criteria, we will be in touch to assist in helping to get you set up with any reasonable adjustments you may require. *Not all positions can accommodate changes to working hours or locations. Reach out to your Recruitment Partner if you want to know more. Fixed Term Contract (Fixed Term) #J-18808-Ljbffr

Training in Python, Machine Learning, and AI systems. AI Trainee Engineer – £45,000–£75,000 – Job Programme. Looking to start a career in AI Engineering?.

Sector: TechnologyReference: BBBH281168_1792495039Full Stack AI EngineerUp to 65,000 + Progression towards AI Implementation Lead + Medical + Enhanced Pension + 27 Days Holiday plus Bank HolidaysScunthorpe, North Lincolnshire (Commutable from: Doncaster, Grimsby, Hull, Lincoln, Gainsborough, Brigg,

AI Trainee Engineer – £45,000–£75,000 – Job Programme. Training in Python, Machine Learning, and AI systems. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles.

What they're looking for: AI/ML expertise- strong understanding of modern AI workloads, model deployment, inference, and optimisation Technical leadership- proven experience leading and mentoring high-performing engineering teams Software architecture- expertise designing scalable AI platforms, deve

Training in Python, Machine Learning, and AI systems. AI Trainee Engineer – £45,000–£75,000 – Job Programme. Looking to start a career in AI Engineering?.

Training in Python, Machine Learning, and AI systems. AI Trainee Engineer – £45,000–£75,000 – Job Programme. Hands-on projects to build your AI portfolio.

AI Trainee Engineer – £45,000–£75,000 – Job Programme. Training in Python, Machine Learning, and AI systems. To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure.

Deep understanding of software design principles, with a track record of building resilient, maintainable, and scalable systems. Champion engineering excellence, clean architecture, and maintainable code across squads. Do not wait to apply after reading this description a high application volume is

AI Trainee Engineer – £45,000–£75,000 – Job Programme. Training in Python, Machine Learning, and AI systems. Hands-on projects using real-world AI tools and technologies.

You’ll build production-grade AI capabilities that solve hard problems at scale, with a focus on Generative AI and modern NLP/ML workflows. Debug and maintain distributed data pipelines in production. Hands-on expertise with Generative AI (fine-tuning LLMs, RAG pipelines, agentic workflows).

Training in Python, Machine Learning, and AI systems. AI Trainee Engineer – £45,000–£75,000 – Job Programme. Progression into senior AI roles with higher earning potential.

This role requires expertise in Python, API testing, and experience with AI-driven systems.

AI Trainee Engineer – £45,000–£75,000 – Job Programme. Training in Python, Machine Learning, and AI systems. Looking to start a career in AI Engineering?.

SF Technology Partners seeks a Senior Analytics Engineer to build the analytical foundations behind data products and AI answers.

AI Trainee Engineer – £45,000–£75,000 – Job Programme. Training in Python, Machine Learning, and AI systems. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles.

You will guide on Legal AI tools, lead pilots, Implementation & Adoption of new technology, be a translator within the firm for cross-functional collaboration and support development of AI-native clients. Design and test AI-powered legal workflows, including chain-of-thought reasoning and multi-step

Training in Python, Machine Learning, and AI systems. AI Trainee Engineer – £45,000–£75,000 – Job Programme. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK.

You’ll join our GenAI Platform team, where we design and build reusable, secure GenAI services that power AI‑driven applications across Aviva. Your work will help us create a resilient, production‑ready GenAI platform – supporting everything from LLM integration and prompt engineering to obs

This role blends strategic architecture with hands‑on delivery to own the QE operating model and automation strategies, spanning UI, API, data, integration and AI validation.

AI Trainee Engineer – £45,000–£75,000 – Job Programme. Training in Python, Machine Learning, and AI systems. Hands-on projects to build your AI portfolio.