226 jobs found

Active DV clearance is required for this role. We are hiring for multiple positions. Permanent roles. We will consider contractors with existing clearances on an initial basis. Salary: Market rate - depending on experience A NOTE FROM THE FOUNDERS Oxford Dynamics is at an inflection point. We operate in some of the most complex and high stakes environments in the world-defence, national security, AI and robotics. The decisions we make now will define not just how fast we grow, but who we become. You will work closely with the entire team. You will be trusted with judgment calls. You will influence the business. And you will see the impact of your work every day. If you are excited by ownership, pace and purpose-and by building something that genuinely matters- we would love to hear from you. Who We Are Founded in 2020, Oxford Dynamics is a fast growing UK deep tech company developing AI and robotic systems designed to operate in mission critical environments. Our flagship AVIS (A Very Intelligent System) AI framework fuses multi modal data-text, imagery, telemetry and sensor feeds-to enable operators to interrogate complex information at speed and make better decisions under pressure. Our STRIDER robotic platform performs autonomous tasks in hazardous environments, protecting people while extending operational reach. Our ambition is simple but demanding: to converge AI and robotics so machines can sense, understand and act in complex, real world environments. We work with defence and security organisations internationally to help protect nations, infrastructure and lives. What You Will Be Doing We are looking for AI engineers who build and ship agentic AI systems in production. You will work at the cutting edge of agentic and generative AI-designing multi agent pipelines, integrating large language models and vision language models into real workflows, and deploying them into secure and air gapped environments for defence and national security customers. This is a delivery role. You will own features end to end-from design through to deployment in constrained environments where reliability and security matter more than speed to market. Key Responsibilities Architect, build, and optimise multi agent AI systems using frameworks such as LangGraph, Haystack, or equivalent Integrate LLMs and vision language models into agent workflows for reasoning, search, summarisation, and task execution Deploy AI systems into cloud, on premises, and air gapped environments Build production ready pipelines from data ingestion through to inference Experience with observability for AI systems, including agent behaviour, model performance, and failure modes Collaborate with engineers, product leads, and customers to translate requirements into working systems Contribute to evaluation frameworks, system integration, and performance tracking Act as a technical authority for agentic AI-setting design patterns for junior engineers Required Active DV clearance Commercial experience building multi agent or agentic AI systems in production Strong Python skills and hands on experience with LLM frameworks (LangGraph, LangChain, Haystack, or similar) Experience deploying AI/ML systems into production environments Familiarity with Docker, Git, and cloud platforms (AWS preferred) Understanding of secure deployment patterns-air gapped, on premises, or sovereign cloud Preferred Experience with multimodal reasoning Experience with edge or offline AI deployments Familiarity with Kubernetes (EKS/OpenShift) for monitoring and managing deployed applications MLOps experience-model evaluation, monitoring, reproducibility Observability tooling for agentic systems (model drift, agent behaviour, performance monitoring) Experience with agent orchestration patterns and inter agent communication protocols (e.g., A2A) Familiarity with MCPs for tool and context integration in agentic systems Familiarity with secure by design development principles (ISO 27001, NIST, OWASP) Experience in defence, national security, or similarly regulated environments Contributions to open source AI/ML projects Soft Skills Delivery focused- you ship working systems, not prototypes Comfortable operating across the stack when needed Strong communicator- can present to technical and non technical stakeholders Thrives in small teams with high ownership Why Oxford Dynamics? Join the most exciting growth area in the UK: AI and Robotics! Every member of the Oxford Dynamics team has a major impact on the products and services we provide. Regardless of job title, you will get to make a real difference and learn from colleagues about all areas of our business. Benefits include: Rapid career progression and personal growth Flexible working hours Opportunity to shape the future of a fast growing business Hybrid working model Company pension (NEST) with 4% employer contribution Private Healthcare 29 days holiday + public holidays Oxford Dynamics is committed to creating an inclusive team experience for all. Regardless of race, gender, religion, sexual orientation, age, disability, or parental status, we believe our work is at its best when everyone feels free to be their authentic self.

Software Developer - Enterprise Technology, Python London, GB Full-Time Information Technology About Marex Marex Group plc (NASDAQ: MRX) is a diversified global financial services platform providing essential liquidity, market access and infrastructure services to clients across energy, commodities and financial markets. The group provides comprehensive breadth and depth of coverage across four core services: clearing, agency and execution, market making, and hedging and investment solutions. It has a leading franchise in many major metals, energy and agricultural products, with access to 60 exchanges. The group provides access to the world's major commodity markets, covering a broad range of clients that include some of the largest commodity producers, consumers and traders, banks, hedge funds and asset managers. With more than 40 offices worldwide, the group has over 3,000 employees across Europe, Asia and the Americas. Marex has unique access across markets with significant share globally both on and off exchange. The depth of knowledge amongst its teams and divisions provides its customers with clear advantage, and its technology led service provides access to all major exchanges, order flow management via screen, voice and DMA, plus award winning data, insights and analytics. The Enterprise Technology team sits at the centre of Marex's technology landscape, delivering a cross business platform that enables our trading and business streams to innovate and go to market at pace. We provide shared capabilities including API gateways, centralised APIs, real time data streaming, connectivity solutions and emerging AI driven services. By building scalable, resilient and reusable platform components, the team reduces duplication, accelerates product delivery and ensures consistent standards across the organisation. Engine Room is a core part of this strategy, forming the foundation upon which next generation digital services are built. Marex recognises the need to provide digital services to give clients the best possible experience. As such, the technology team at Marex is playing an increasingly important role in the evolution of the firm and enabling business growth and new products and services. Role Summary Join the Enterprise team working on Engine Room, one of Marex's most strategic technology initiatives. As a Full Stack Python Developer, you'll help build and evolve a modern, enterprise grade platform at the core of the business. We're growing quickly and need energetic, flexible thinkers who can respond to changing demands, work collaboratively, and bring ideas to the table. If you enjoy solving complex problems in a fast moving environment and want to help shape technology that truly matters, this is the role for you. Responsibilities Role specific Design, develop and maintain high quality Python based solutions within the Engine Room platform. Contribute to the development of shared enterprise capabilities including API gateways, centralised APIs, real time data streaming, connectivity frameworks and AI enabled services. Participate in shaping Marex's shift to becoming AI native, by building agentic tools into the developer stack, liaising with researchers and the front office, and contributing to the AI ecosystem of the Enterprise team. Build a centralised development environment for use by front office developers. Build scalable, resilient and high performance services that support multiple business streams across Marex. Collaborate closely with product owners, architects and other engineering teams to translate business requirements into robust technical solutions. Contribute to architectural design discussions and help shape platform standards, patterns and best practices. Ensure solutions are secure, observable and aligned with enterprise governance and regulatory requirements. Support the continuous improvement of CI/CD pipelines, automated testing and DevOps practices. Participate actively in team discussions, technical brainstorming sessions and knowledge sharing. Adapt quickly to changing priorities and evolving business demands in a fast paced environment. Provide support and troubleshooting for production systems where required, ensuring high availability and reliability. Contribute to documentation and maintain clear technical artefacts to support long term platform sustainability. Promote a collaborative, inclusive and high performing team culture. Competencies, Skills, Experience & Qualifications A collaborative team player, approachable, self efficient and influences a positive work environment. Resilient in a challenging, fast paced environment. Ability to take a high level of responsibility in a fast pace and high volume environment. Excels at building relationships, networking and influencing others. Strategic collaborator with insight and agility, able to anticipate future challenges, ensuring operational effectiveness. Skills and Experience - Essential Strong experience in Python development, building production grade backend services and APIs (e.g. FastAPI, Flask, Django). Good working knowledge of at least one Python based front end framework. Experience working with AWS cloud services (e.g. ECS/EKS, Lambda, S3, RDS, API Gateway). Experience with event driven architectures, ideally using Kafka. Understanding of CI/CD pipelines, automated testing and DevOps practices. Strong understanding of software design principles (SOLID, clean architecture, domain driven design concepts). Experience working in Agile/Scrum delivery environments. Experience working across multiple teams or organisations, solving business problems with technology. Working knowledge of NodeJS or C#. Experience in with Beacon, Athena / SecDB or similar. Experience with Infrastructure as Code, ideally Terraform. Experience building or contributing to enterprise platform or shared services environments. Exposure to API gateway technologies and distributed systems design. Experience implementing observability tooling (logging, monitoring, tracing). Financial services or capital markets experience (advantageous but not essential). Experience using CDM as a data model (advantageous but not essential). Conduct Rules You must: Act with integrity. Act with due skill, care and diligence. Be open and cooperative with the FCA, the PRA and other regulators. Pay due regard to the interests of customers and treat them fairly. Observe proper standard of market conduct. Marex is fully committed to being an inclusive employer and providing an inclusive and accessible recruitment process for all. We will provide reasonable adjustments to remove any disadvantage to you being considered for this role. We value the differences that a diverse workforce brings to the company.

Platform Engineer London Company Overview Model ML is the AI workflow builder transforming how major financial institutions produce and validate client ready work. Model ML converts complex, manual processes into fully automated AI systems that scale across global teams. In under a year, Model ML has become one of the fastest growing enterprise AI platforms worldwide and recently closed a $75 million Series A, one of the largest fintech Series A rounds ever. The round was backed by FT Partners, Y Combinator, LocalGlobe, QED, 13books, and other top global investors, bringing total funding to $90 million. Job Description We are seeking an experienced Platform Engineer to lead the design, implementation, and maintenance of our cloud systems as we scale. This role is ideal for someone who thrives on building robust, secure, and cost efficient infrastructure that empowers engineering teams to deliver quickly without sacrificing reliability or compliance. You will be the driving force behind our DevOps, observability, and compliance readiness, ensuring our systems are audit ready, highly available, and optimized for both performance and cost. Key Responsibilities Architect, implement, and maintain cloud infrastructure to support rapid product growth. Prepare infrastructure for SOC 2 / ISO 27001 audits, aligning with customer expectations. Build and maintain CI/CD pipelines for backend, frontend, and data services to enable rapid, reliable releases. Drive product wide systems for logging, metrics, tracing, alerting and on call processes. Monitor and control cloud costs, identifying opportunities for optimization without sacrificing performance. Act as the internal advocate for operational excellence. What you can expect It won't be easy; in fact, it will be very hard. BUT, it will be a lot of fun. You need to be comfortable in being uncomfortable; timelines will change, priorities will most likely shift. Be prepared to sacrifice your work life balance in exchange for joining an incredible journey and learning a lot along the way. Requirements Technical stack: Azure (also AWS is a plus), Terraform, AKS (Kubernetes), Docker, GitHub Actions. Observability: Experience implementing logging, metrics, and tracing frameworks. Security: Familiarity with best practices, secrets management, and security scanning tools. Networking: Solid understanding of VPCs, private networking, DNS, load balancers, VPNs, and firewalls. Databases & Storage: Experience with provisioning, scaling, and managing production grade databases (PostgreSQL, MySQL, NoSQL) and blob storage. Scripting & Automation: Strong skills in Python or Bash for automation and tooling. Experience 4-7 years of relevant experience, ideally including startup or high growth/high load environments. Proven track record of owning infrastructure end to end - from architecture through production support. Experience implementing reliability, security, and compliance measures ahead of scale up or audit readiness. History of driving cost efficiency while enabling growth. Exposure to SOC 2, ISO 27001, or GDPR compliance processes. What We Offer You will be reporting directly to the founders, who have two successful venture backed exits under their belt. Competitive salary + equity. Supportive and innovative work environment. We're building a team of like minded, incredibly smart, tenacious individuals with relentless work ethic and focus, all driving towards a clear revolutionary mission. If you match this description, buy into that mission and you're at a career stage where you're ready to make your defining statement to the world, please apply. About the interview Our Process We're very conscious of everyone's time, so we want to make the process as efficient as possible. Call 1: 30 minute call with Roman. Call 2: 30 minute call with Arnie. Apply now.

The Opportunity This is a senior individual contributor role at the technical heart of Chip's AI chapter. You will be a key technical contributor to our agentic AI systems, working closely with the Head of AI and the wider engineering team to design, build and scale the infrastructure that powers our customer-facing AI products. You will have significant technical ownership - this is not a role for someone who wants to configure existing frameworks. We are looking for someone who can design novel solutions to hard problems and take them all the way to production. What you can expect to be doing: Architecture & Technical Design Work closely with the Head of AI to contribute to and implement the technical architecture of Chip's multi-agent AI systems - from orchestration layer to inter-agent communication and context persistence Design bespoke frameworks and tooling where off-the-shelf solutions fall short Author and maintain architectural decision records (ADRs) and engineering standards for the AI chapter Evaluate emerging techniques and approaches, adapting from research into production-ready implementations Delivery & Implementation Lead the hands-on implementation of AI systems alongside the team, maintaining deep technical involvement Build production-grade systems: observable, reliable, and cost-efficient at scale across Chip's 400k+ user base Define and implement testing and evaluation strategies for agentic systems - models-as-judge, synthetic data, human-in-the-loop processes and runtime safety / quality controls Identify and implement "flywheels" and processes that drive quality and performance through continuous iterative improvements Own the integration of AI systems with Chip's existing infrastructure, including async patterns and SDK design Technical Leadership Set the technical bar for AI engineering at Chip - reviewing work, raising standards, and mentoring engineers Work closely with the Head of AI on technical strategy and architectural direction Partner with the AI Product Manager and wider engineering teams on technically complex initiatives Contribute to Chip's company-wide AI engineering standards and governance What we're looking for: Deep hands-on experience designing and building multi-agent AI systems in production - not just configuring existing frameworks Proven ability to take AI systems from concept through to production with long-term ownership Track record of solving hard technical problems: large context windows, hallucination mitigation, novel orchestration patterns Experience building customer-facing AI systems in regulated, high-trust, or high-risk domains is a strong plus Experience building AI systems on AWS is strongly preferred, particularly using services such as Bedrock, SageMaker, ECS, and EventBridge Technical Depth Expert-level understanding of agentic architectures: orchestration, inter-agent communication, state and context management Strong experience with evaluation frameworks, retrieval systems, model behaviour analysis and production observability for AI systems Comfortable working across the full stack - infrastructure, services, and AI layer - to ship end-to-end solutions Stays current with the fast-moving AI landscape and is genuinely excited about being at the forefront of what's possible Ways of Working High agency IC - owns problems end-to-end without waiting for direction Comfortable in a small, fast-moving team where the scope of your impact is large and visible Collaborative and generous with knowledge - raises the technical capability of those around you Interested in the commercial and product context of the systems you build, not just the engineering The Role in Context You will report to the Head of AI and work alongside a small team of Backend Engineers in building and maintaining Chip's AI Platform. You will also work closely with the product teams who are building customer-facing features on top of your platform, as well as stakeholders across the business on internal AI-driven opportunities. What we're really looking for We're looking for someone who's genuinely excited about Chip and energised by the opportunity to help build the future of wealth, making saving, investing and pensions simpler and more accessible for everyone. We work in a regulated space, so the bar is high. But we've built a team of smart, thoughtful people who care about doing great work and enjoy doing it together. Technical skills matter, obviously. But they're not the only thing we hire for. We want real people. People with interests, perspective and personality. The best teams are made up of individuals who bring different experiences into the room, not just polished CVs and good interview answers. So alongside the technical side, we'll be looking for empathy, self-awareness, sound judgement, resilience and a collaborative mindset. People who are good to work with, especially when things get hard. Working Hours Monday to Thursday: 9:00 AM - 6:00 PM Friday: 8:00 AM - 4:00 PM (Start your weekend early!) Enjoy a structured yet balanced workweek, with an early Friday finish to kickstart your weekend! PERKS Discretionary Performance-Related Annual Bonus of up to 10% (Cash) and 5% (Shares) based on your gross annual salary. Workplace pension scheme - We invest in your future with a workplace pension scheme, contributing 5% on earnings up to £50,000. Plan ahead with confidence while you grow your career! Private medical insurance (medical history disregarded) Employee Assistance Programme Cycle to work scheme Season ticket loan Free ChipX subscription for UK-based employees We are an equal-opportunity employer and value diversity Flexible working arrangements 28 days holiday plus bank holidays, plus the days between Christmas and New Year Annual training budget for courses, workshops, or conferences to help you advance your career. £30 per month Chip Fitness Benefit to suit your Mental/Physical Wellbeing Company laptop Opportunity to have a huge impact on our product while fast-tracking your knowledge, responsibility and skills in a high-growth fintech startup Our Interview Process Video screen with someone from our Talent team Video interview with the hiring manager Video interview with senior stakeholders Final interview with CTO About Chip Chip's mission is to make your life wealthy. We're building the wealth super app of the future, to build long-term wealth across savings, investments and pensions. We use technology to break down barriers so users can invest like the ultra-wealthy, giving them one simple place to manage, grow and protect their wealth. The Sunday Times listed Chip as the 6th fastest growing tech company in Britain, and Chip serves over 400,000 active customers and looks after over £6billion in assets. Chip is built by a fast-growing team of designers, developers, customer service professionals, marketers, banking experts, and entrepreneurs. Chip has raised over £50m from 29,000 investors over 9 years. Our vision To be the most personal digital wealth manager in the UK Who we are Chip has a creative and diverse team of 180, from all different backgrounds and industries. We're driven and passionate people, but no one takes themselves too seriously. We have awards including Best Personal Finance App at the 2022, 2024 & 2025 British Bank Awards. Our Values Be ACCOUNTABLE Everything you do matters, care about the end result, challenge the norm, disagree, yet commit to making it happen once a decision has been made, do the best job possible Be BOLD Share our ambition and do your bit to achieve it, innovate, set goals that align with our mission, do your best for our customers Be COLLABORATIVE Work cross-functionally - we win as a team, build strong relationships based on trust, treat others fairly and respectfully, hold others to account, be supportive and inclusive, have fun together Equal Opportunities We are committed to an inclusive environment and encourage applications from people irrespective of gender, race, sexual orientation, religion, age, disability status or caring responsibilities. We will help you balance work and home life and support your professional and personal aspirations. Note to Agencies Chip does not accept unsolicited CVs from recruiters or employment agencies in response to any of our live roles on our career page. We reserve the right to hire candidates without any financial obligation to the recruiter or agency. Any unsolicited CVs submitted are the property of Chip.

Role Overview In this Principal role, you will lead the design, build, and operational excellence of core platform capabilities covering backend services, modern frontend applications, and critical platform infrastructure or APIs. You will drive architectural strategy, mentor senior engineers, collaborate at cross functional and technical leadership levels, and ensure the system scales reliably across global, enterprise use cases. Key Responsibilities Define and implement the architecture and delivery of backend services and microservices, supporting high throughput, globally distributed systems. Lead frontend development using modern frameworks (React/Angular/Vue.js + TypeScript) for responsive, performant, enterprise grade applications. Drive design and implementation of containerization/Docker and orchestration (Kubernetes) for production scale deployment and standardization across teams. Partner with cross functional leaders (product, UX, QA, architecture) to shape roadmap, align technical strategy with business priorities and ensure rapid but sustainable delivery. Establish engineering best practices: code reviews, technical mentorship, continuous improvement, testing frameworks, CI/CD pipelines, observability and platform health. Own cloud-native delivery (AWS, GCP, Azure), infrastructure-as-code, monitoring and operational resilience for mission critical capabilities. Lead risk identification and mitigation, optimize system performance, ensure scalability and reliability across multi tenant enterprise environments. Act as a mentor and thought leader, enabling engineers across teams, contributing to onboarding, knowledge sharing, industry innovation, and engineering culture. Required Skills & Experience Extensive professional software engineering experience (or analogous senior technical leadership) with deep expertise in Java and object-oriented design. Strong understanding of RESTful API design, relational databases (SQL) and large scale backend operations. Hands on with containerization and orchestration technologies (Docker, Kubernetes) in production. Experience using version control (Git) and agile methodologies (Scrum, Kanban) in global, cross team environments. Excellent analytical, problem-solving, communication and influencing skills, with the ability to engage with senior stakeholders and technical leaders. Deep experience with cloud platforms (AWS, GCP, Azure) and infrastructure automation (Terraform, Ansible). Familiarity with data streaming/event driven architectures (Kafka, Flink, Pulsar) and high throughput systems. Mature experience with CI/CD tooling (Jenkins, GitHub Actions) and micro frontend patterns. Strong testing & observability mindset (JUnit, Jest, Cypress) and performance optimisation. Prior experience in global engineering teams, mentoring senior and principal engineers, and setting engineering direction. Soft Skills Demonstrated technical leadership and mentorship-capable of guiding others to drive technical excellence and elevate team delivery. Strategic thinker with business-oriented mindset: engineering decisions aligned with product and company goals. Agile, adaptable, curious-thrives in fast moving environments, embraces change, and champions continuous improvement. Equal Employment Opportunity Statement We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.

Senior Connectivity Engineer / Networking / VPN / Go / Python / Linux / Location: Wallingford - Oxfordshire (Hybrid) Permanent At Dexory, we are transforming the warehousing and logistics industry through data intelligence. We're currently recruiting for a Senior Connectivity Engineer to take day-to-day ownership of the connectivity layer that keeps our global robot fleet online. You will build the tooling and automation that makes managing mesh VPN, industrial routers, Wi Fi and cellular connectivity across the fleet fast, repeatable and observable. Offices are based in Wallingford, Oxford, with this role offered on a flexible hybrid basis (approximately once every 4 weeks on site). Experience in robotics, telematics, connected vehicles, industrial IoT, or start-up / scale-up environments is desirable, along with experience operating fleets of devices across multiple geographies and carriers. We're open to candidates from a range of backgrounds - networking, platform, SRE, DevOps, embedded Linux, telematics - what matters is strong networking fundamentals paired with a tooling-first mindset. Responsibilities / Skills Own and evolve Dexory's fleet connectivity stack (mesh VPN, routers, Wi Fi, cellular) with a tooling first, automation led approach so we scale with the fleet, not headcount. Build internal tooling and self serve workflows for router configuration/validation, access management, and fleet health checks; replace manual processes with repeatable, testable systems. Operate the mesh VPN layer (WireGuard/Tailscale or equivalent): access as code, policy patterns, posture/health automation, and resilience/disaster recovery planning. Deliver fleet wide connectivity observability: monitoring, alerting, reporting, and actionable signals that help teams diagnose end to end issues quickly. Improve cellular/SIM lifecycle management: provisioning automation, usage/cost visibility, and carrier level reporting. Enable deployments with pre deployment network validation and simple site survey workflows that field teams can run independently. Partner with deployment, service and customer facing teams to turn field issues into durable tooling and documentation, not recurring manual fixes. Strong networking fundamentals (routing, NAT, firewalls, DNS, VPNs, IPv4/IPv6) and experience operating production systems at scale; comfortable debugging multi layer failures. Comfortable working close to the Linux networking stack when needed (interfaces, routing tables, MTU/PMTUD, conntrack, nftables/iptables) and diagnosing kernel level networking behaviour. Proficient in Go and/or Python and experienced with modern observability tooling; bonus points for containers/IoT OS, ACL as code patterns, and carrier/router API integrations.

About us: Spectrum.Life is a whole-of-health digital partner that guides organisations and their people to thrive, delivering clinically backed digital health, mental health and wellbeing solutions. Our HealthTech delivers digital transformation for Insurers, Educators and Employers through Co-creation or seamlessly integrated out-of-the-box solutions, that decrease digital fragmentation and engage, empower, and transform their people's lives. Established in 2018 by Stuart McGoldrick and Stephen Costello, Spectrum.Life provides services internationally to over 7.2m insurance members, 3,000 corporate clients, 60 universities and 650,000 university students. Spectrum.Life currently employs over 450 people. Our vision is to change and save as many lives as possible. Role Brief: We are seeking an experienced and forward thinking DevOps Lead to own the infrastructure, security, and continuous delivery pipelines that form the backbone of our AI driven projects. This is a critical, hands on role where you will be responsible for building and maintaining a resilient, secure, and highly automated environment across our cloud platforms. You will be the designated expert for all things related to infrastructure and DevOps. Your deep understanding of cloud architecture, security principles, and CI/CD will ensure our engineering teams can build and release software quickly, safely, and efficiently. If you are passionate about automation and leveraging AI to create intelligent, self healing systems, we want to hear from you. Responsibilities: Cloud Infrastructure & Automation Architect, build, and manage scalable and secure infrastructure on AWS using Infrastructure as Code principles, primarily with Terraform. Develop and maintain bespoke automation scripts to accelerate project setup, on demand environment creation, and other operational tasks. Champion and implement solutions like LocalStack to streamline local development and testing workflows for engineers. Provide expert guidance on systems architecture, ensuring our infrastructure is designed for performance, scalability, and resilience. Collaborate with engineering teams to manage and automate the infrastructure for our services, including APIs and databases, ensuring their performance and reliability. CI/CD & Release Management Develop and improve CI/CD pipelines using GitHub Actions, from code commit to production deployment. Integrate and manage automated testing, dependency updates, and security scans within the pipelines to ensure code quality and security. Empower engineers with the tools and automation needed to reduce friction, manage technical debt, and focus on building great products. Define and continuously improve our release processes, ensuring smooth and predictable deployments. Security & Compliance Act as the subject matter expert for security, compliance, and data flows within our cloud infrastructure. Implement and manage security best practices and automated tooling (SAST/DAST, dependency scanning) to protect our applications and data. Oversee the security and compliance of AI related data flows, ensuring that any data sent to third party services is minimized, anonymized, and explicitly not used for external training purposes. Ensure all infrastructure and processes adhere to legal and regulatory requirements, maintaining customer trust and data privacy. Observability & Incident Management Implement and manage a robust observability strategy using tools like Sentry, Datadog, and native cloud services. Configure critical alerting and monitoring (e.g., AWS CloudWatch Alarms) and integrate them with notification services to ensure rapid response. Lead the incident management process for infrastructure related issues, with a focus on root cause analysis and proactive prevention to minimize hotfixes. Champion the use of AI in operations, exploring and implementing tools for anomaly detection, predictive analysis, and automated remediation. Collaborate with our existing core infrastructure engineer on business as usual projects to ensure strategic alignment across the company, while maintaining a primary focus on AI project initiatives. Requirements: Proven experience in a DevOps/Infrastructure Engineering role with a focus on automation. Proficiency in managing cloud infrastructure on AWS. Experience supporting infrastructure for ML/AI projects (MLOps) is highly desirable. Deep, hands on experience with Infrastructure as Code using Terraform. Hands on experience with containerization technologies (Docker, Kubernetes) and networking (VPCs, Load Balancers). Expert level knowledge of building and managing complex CI/CD pipelines, with a strong preference for GitHub Actions. Strong understanding of system architecture, security best practices, and compliance standards. Comfortable with scripting languages (e.g., Python, Bash) to build automation and tooling. Experience with the operational lifecycle of APIs and databases from an infrastructure perspective. Hands on experience with modern observability and error tracking tools such as Sentry, Datadog, Prometheus, or Grafana. You have a deep technical curiosity and a passion for automation. You act as a force multiplier, empowering the engineering team with the tools and processes they need to succeed. You take complete ownership of your domain and are a reliable partner to the engineering teams you support. You are a strategic thinker who can balance speed and safety, enabling developers to move fast without compromising on security or stability. You are a strong communicator who can explain complex technical concepts to a variety of audiences. You are proactive in identifying potential issues, reducing technical debt, and improving the overall development lifecycle. Benefits of working at SPECTRUM.LIFE Full time permanent contract Work from home Competitive salary (dependent on experience) + employee benefits Continuous professional development and training opportunities. 25 days of annual leave 24/7 EAP and a wide range of health and wellbeing supports Extensive list of employee perks and benefits:

Role Description - What you will work on Design, build, and evolve batch and streaming data pipelines that power refinery modeling, analytics, and customer-facing products. Own complex data ingestion, transformation, validation, and delivery workflows across multiple data sources. Drive improvements in pipeline reliability, scalability, and observability, including retries, backfills, data quality checks, and monitoring. Lead schema design, versioning, and evolution strategies to support stable, long-lived data contracts. Build and maintain backend components and APIs used to serve data to downstream systems and applications. Partner closely with data scientists, product managers, and other engineers to translate domain requirements into robust technical solutions. Continuously improve existing systems as data volume, complexity, and product expectations grow. Responsibilities Design, build, and evolve batch and streaming data pipelines that power refinery modeling, analytics, and customer-facing products. Own complex data ingestion, transformation, validation, and delivery workflows across multiple data sources. Drive improvements in pipeline reliability, scalability, and observability, including retries, backfills, data quality checks, and monitoring. Lead schema design, versioning, and evolution strategies to support stable, long-lived data contracts. Build and maintain backend components and APIs used to serve data to downstream systems and applications. Partner closely with data scientists, product managers, and other engineers to translate domain requirements into robust technical solutions. Continuously improve existing systems as data volume, complexity, and product expectations grow. Skills and Experience Deliver high-quality, well-tested, and maintainable code, setting a strong example for engineering best practices. Own significant parts of the data platform end-to-end, from ingestion to production delivery. Make architectural contributions to data processing, storage, and delivery patterns. Contribute to and improve CI/CD pipelines, automation, and operational tooling. Instrument services and pipelines with metrics, logs, and alerts, and help define operational standards. Play an active role in incident response, root-cause analysis, and long-term system improvements. Review code, mentor other engineers, and help reinforce shared coding and architectural standards across the team. Nice to have Exposure to Kafka, Spark, or streaming architectures. Experience with Kubernetes. Familiarity with event-driven or microservices architectures. Exposure to analytical datastores (e.g. Elasticsearch). Full-stack awareness (e.g. ability to read, review, and provide feedback on frontend or API-layer pull requests, without being a primary frontend contributor). Prior experience working on data products in energy, commodities, or industrial domains. Kpler is committed to providing a fair, inclusive and diverse work-environment. We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer. Don't meet every single requirement? Research shows that women and people of color are less likely than others to apply if they feel like they don't match 100% of the job requirements. Don't let the confidence gap stand in your way, we'd love to hear from you! We understand that experience comes in many different forms and are dedicated to adding new perspectives to the team.

Mark43 is approved to hire in Canada, the UK, and 36 U.S. states, including Alabama, Arizona, California (excluding San Francisco), Colorado, Connecticut, Washington D.C., Florida, Georgia, Iowa, Idaho, Illinois, Indiana, Kansas, Massachusetts, Maryland, Maine, Michigan, Minnesota, Missouri, North Carolina, Nebraska, New Hampshire, New Jersey, New Mexico, New York, Ohio, Oklahoma, Oregon, Pennsylvania, South Carolina, Tennessee, Texas, Utah, Virginia, Vermont, Washington, Wisconsin, and West Virginia. Before applying to a remote role, please ensure that you are able to perform the position in one of the states listed above. State locations and specifics are subject to change as our hiring requirements shift. Applicants must be authorized to work for any employer in the country in which the role is being hired. We are unable to sponsor or take over sponsorship of an employment visa at this time. About Mark43 Mark43 empowers communities and their governments with technology that improves safety and quality of life. We build modern, resilient software that first responders and public safety agencies depend on in their most critical moments. Role Overview We are seeking an experienced Senior Software Engineer - Integrations who will take technical ownership of building and scaling integrations between Mark43's core platform and mission critical third party systems. You'll lead the design, development, and implementation of robust APIs, data pipelines, and messaging layers, ensuring seamless operational data flow for emergency dispatch and response systems. This is a hybrid role requiring at least three days per week in our Manchester office to support strong team collaboration. What You'll Do Lead full lifecycle development of integrations that connect the Mark43 platform with external systems such as 911 call centers, state databases, evidence systems, and other key services. Drive architectural decisions and ensure scalable, maintainable solutions across REST APIs, message queues, and event driven workflows. Collaborate closely with Product, Engineering, and partner technical teams to define reliable API contracts and integration patterns. Mentor and guide more junior engineers on the team, elevate coding standards, and lead code reviews. Contribute to integration testing strategies, observability, and dashboards to monitor operational data flows. Champion best practices for performance, security, and error handling in distributed systems. Participate in sprint planning, roadmap discussions, and technical strategy across the integrations team. What You'll Need 4+ years of professional software engineering experience, with a strong focus on backend services, distributed systems, and system integrations. Proven ability designing and operating APIs, webhooks, or asynchronous messaging systems (e.g., Kafka, queues). Experience with languages and technologies relevant to our stack such as Java, TypeScript/JavaScript, RESTful services, SQL/MySQL, and data pipelines. A solid understanding of integration challenges, including data transformation, schema evolution, retries, and failure management. Experience leading technical workstreams and mentoring less senior engineers. Strong communication skills and the ability to work with cross functional partners. Nice to Have Prior experience in public safety, government software, or regulated domains. Familiarity with CI/CD pipelines, observability tooling, and cloud native practices. Why You'll Love Working Here At Mark43 you'll work on software that directly impacts how first responders protect communities. You'll enjoy collaborating across disciplines, shaping product integrations that accelerate public safety operations, and mentoring a talented engineering team. Joining our Manchester office fosters a supportive culture rooted in shared mission and innovation. Location This role is based in our Manchester, UK office and follows a hybrid work model. Team members are expected to be in the office at least three days per week to foster strong collaboration and a connected team environment. Our Privacy Notice describes how Mark43 uses and protects the personal information of prospective employees during the recruitment process. It informs you about our handling of the personal information you provide to us when you apply for a position in our organization and in general when you express your interest in joining our team. As a part of Mark43's security measures all employees must: Engage in appropriate use of the company's electronic information resources; Become knowledgeable about and follow relevant security policies and guidelines; Protect the resources under their control, such as passwords, computers, and data that they create, receive, or download; and Promptly report security-related incidents and violations, and responding to official reports of security incidents involving their systems or accounts. Mark43 is committed to the full inclusion of all qualified individuals. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment, we will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed, please email requesting the accommodation.

The role tldraw is hiring a backend/infrastructure engineer to strengthen the systems behind our product, improve release reliability, and support our next stage of growth. You'll bring deeper backend, infrastructure, and DevOps experience to a team of product-minded generalist engineers. This is a London based, in-office role. This is a high ownership role in a small, fast-moving team. You'll work across backend services, deployment infrastructure, release processes, and observability. You'll build and maintain the services and tooling that power our SDK, and how we ship. We care about craft and momentum. We're looking for someone who can pick up a problem, drive it end-to-end, and raise the bar for how we build and operate our systems. We're looking for strong judgment and pragmatism, not rigid process. You will Own and improve backend systems supporting our SDK, and related infrastructure Improve release safety and speed (versioning, testing, rollbacks) Build and scale backend services, APIs, data flows, and systems that power Investigate and resolve production incidents and infrastructure issues Partner with product engineers across the stack, and document what you build so the team can move faster You'll need Fluency with TypeScript, Node.js, and systems design Ability to write production-quality code independently (without AI assistance during our interview process) Strong hands-on experience building and operating production backend systems Experience with infrastructure, CI/CD, monitoring/alerting, and incident response Track record improving reliability, developer experience, or release quality Clear communication, strong judgment in ambiguity, and comfort helping other engineers level up on backend/infrastructure It's a plus if you Have been an early or founding engineer at a startup Have experience with developer tools, SDKs, real-time collaboration, or local-first software Have used Cloudflare, real-time databases, or similar backends for collaborative applications Have built infrastructure for products serving both end-users and developer customers Contribute to open source or developer communities What you'll get Competitive salary + equity options Hybrid working model 25 paid days holiday + UK public holidays Private health insurance + pension contribution Excellent equipment and choice of tools About you You care about reliability, craft, and momentum. You like making systems understandable and easy to build on, and you're comfortable spanning backend, infrastructure, and product when it helps the team ship. You can go deep when needed, stay pragmatic under ambiguity, and help others learn especially around backend architecture, release processes, and operational trade-offs. About tldraw tldraw is a London based Series A startup building software for infinite canvas applications. We're best known for our free collaborative whiteboard used by millions, and for viral demos like Computer and Make Real. Our commercial product is the tldraw SDK, a React library that lets companies build collaborative canvas experiences into their own products. Our community includes 70k+ X followers, 45k+ GitHub stars, and 6k Discord members. Our customers include Google, Autodesk, ClickUp, and Blackrock.

Our Mission Reflection's mission is to build open superintelligence and make it accessible to all. We're developing open weight models for individuals, agents, enterprises, and even nation states. Our team of AI researchers and company builders come from DeepMind, OpenAI, Google Brain, Meta, Character.AI, Anthropic and beyond. Foundations Vision: Build and operate a company-wide foundations platform that accelerates every team by providing reliable, scalable developer infrastructure, SRE capabilities, and high-throughput data ingestion tooling enabling Reflection to move faster as we scale. What This Team Does Build the internal and customer-facing product surfaces that turn platform capabilities into usable workflows. This role sits at the intersection of engineering and product translating ambiguous requirements into clean, operable systems and taking ideas from early prototype to hardened production components. Build internal product surfaces such as dashboards, admin tools, and self-serve workflows. Own end-to-end delivery across UI, APIs, authentication, RBAC, and audit trails. Integrate with customer environments and adjacent systems to ensure seamless workflows. Productionize prototypes into reliable, maintainable, and operable platform components. Translate fuzzy product requirements into clear system designs and usable interfaces. Feed delivery learnings back into platform patterns and defaults so the next system ships faster. What You'll Work With Full-Stack & API Development: React, TypeScript, REST, gRPC, FastAPI, Go services, API design. Auth & Governance: OIDC authentication, RBAC, audit logging. Workflows & Integrations: Event-driven systems, workflow orchestration, feature flags, customer integrations. Monitoring & Developer Tooling: Dashboards, observability tooling, experiment tracking systems, metrics and log visualization. About You Strong full-stack engineering background with experience shipping production-grade applications end-to-end. Comfortable owning the full delivery surface - UI through API through auth - without needing to hand off between layers. Experience integrating with external systems or customer environments and making those integrations reliable and maintainable. Thrive in a high-agency, fast-paced environment; bias toward action and impact. Excited about zero to one challenges - turning prototypes into real systems rather than polishing existing ones. Collaborative, clear communicator, comfortable working across research, platform, and product boundaries. Motivated by building the tooling and workflows that let the world's most capable open-weight AI systems get built faster. What We Offer: We believe that to build superintelligence that is truly open, you need to start at the foundation. Joining Reflection means building from the ground up as part of a small talent-dense team. You will help define our future as a company, and help define the frontier of open foundational models. We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported. Top-tier compensation: Salary and equity structured to recognize and retain the best talent globally. Health & wellness: Comprehensive medical, dental, vision, life, and disability insurance. Life & family: Fully paid parental leave for all new parents, including adoptive and surrogate journeys. Financial support for family planning. Benefits & balance: paid time off when you need it, relocation support, and more perks that optimize your time. Opportunities to connect with teammates: lunch and dinner are provided daily. We have regular off-sites and team celebrations.

We're putting together a talented team to build the training platform for Runners We help everyday runners become outstanding by building an incredible app providing world class training, coaching and community for everyone, whether you're improving your 5k time or training for your first marathon. We're growing extremely fast! In November 2023 we closed a $6.5M funding round led by JamJar with participation from Eka Ventures, Venrex and Creator Ventures. In 2024, we were selected by Apple as one of three global finalists for the iPhone app of the year, reflecting the innovation and impact of what we've built & in 2025 we were acquired by Strava! Our ambition is huge: to become the go to global leading training platform for millions of runners everywhere. We're growing with purpose and looking for people who want to build something meaningful with lasting impact. With the recent acquisition by Strava accelerating our journey, now is a really magical time to join. The team you'll join We're looking for a full stack engineer to join our Growth team, with a strong focus on marketing technology. You'll sit at the intersection of product, data and marketing - building and maintaining the systems that power our acquisition, activation and retention efforts across channels. Although Marketing Technology is a core part of this role, you'll also spend a significant portion of your time working across full stack initiatives in our Growth Product Squad - building features, launching experiments, and iterating based on results. You'll join our cross functional Growth squad, working closely with product, marketing and data. The team is responsible for: Improving how new users discover, try and subscribe to Runna. Running experiments across the funnel, from ad click through to in app activation and ongoing engagement. Owning the core tools and integrations that power our marketing and lifecycle communications. How we work Cross functional, collaborative teams with shared goals. Iterative development, continuous deployment and a strong focus on testing and observability. High autonomy, high ownership - you'll have real responsibility for growth outcomes and the systems that support them. You'll also collaborate with the wider engineering org to ensure our growth systems are robust, observable and align with our overall architecture and standards. What you'll be doing Own implementation and maintenance of ad tracking SDKs and MMPs (for example TikTok, Meta, Google, AppsFlyer), including event mapping and monitoring for signal loss. Build and maintain tracking and tag manager setups across web and app so our data is reliable, privacy respectful and useful for models and reporting. Design, build, test and ship full stack features that support growth (for example landing pages, onboarding flows, referral and promo experiences). Integrate and maintain CRM and lifecycle tooling (for example Iterable or similar), including catalogues, data feeds, deeplinks and email / in app templates. Build internal tools, automations and scripts (for example in Python or Node) that connect systems, improve workflows and power pLTV, dashboards and alerting. Collaborate closely with Growth, Marketing and Data to scope experiments and quickly ship A/B tests and campaigns that move key metrics. What you'll bring to the team: Solid experience as a full stack engineer (ideally 3+ years), comfortable working across frontend and backend. Strong TypeScript/JavaScript skills and experience with modern frontend frameworks (for example React / React Native). Hands on experience integrating and maintaining marketing technology such as: Analytics and product analytics tools. Mobile / web attribution. Tag managers and event tracking. CRM or lifecycle platforms (email, push, in app messaging). Comfort working closely with non engineering partners (marketing, product, data) and translating business goals into technical solutions. A bias towards experimentation and iteration - you care about impact and learning fast. Strong ownership mindset: you're happy to take a problem from idea to shipped, monitored solution. Good understanding of event tracking, data quality and debugging issues across multiple platforms and tools. Bonus points if you have: Experience with mobile growth and attribution (for example RevenueCat, app store / play store tooling, mobile attribution providers). Previous experience in a product led or consumer subscription business. Experience with experimentation platforms and A/B testing. Familiarity with AWS or another major cloud provider and modern CI/CD practices. Experience working in or closely with a Growth / Marketing team. Our Tech Stack Below you can find a small reflection of our current tech stack: Frontend: React Native (iOS and Android) Typescript GraphQL (Apollo Client) Fastlane SwiftUI (Apple Watch) Maestro E2E tests Backend: Serverless (AWS) Lambdas (NodeJS & Python) AWS AppSync DynamoDB, S3, SQS, SNS, EventBridge, SageMaker Snowflake All the other good stuff: Sentry GitHub Actions Intercom, Mixpanel RevenueCat App Store Connect / Play Store Google Tag Manager Salary and Benefits We're offering a salary of £70,000-£78,000 per year, depending on experience, plus participation in Strava's long term incentive (stock) programs. Overview of our benefits is below: We're also committed to continually evolving our benefits to support you as we grow. Here is a brief overview what we currently offer in the UK Flexible working - we typically spend 3 days a week together in our Vauxhall office ️ 25 days holiday, plus bank holidays (which you can take whenever suits you) Free Runna & Strava subscriptions for you and 3 of your friends (get ready to be your friends fave person or save them for holiday presents!) Headspace membership Money every year to spend on gear, events and the gym! Private health insurance with Bupa and workplace pension scheme Modern Health is a mental wellness platform and app that combines technology with professional support to improve mental well being and reduce stress Carrot fertility support - this benefits provider can provide inclusive fertility, hormonal health, and family forming benefits to our global employee population and takes the burden off what we know can be a stressful process. Please see more info on our amazing benefits here: Benefits at Runna Our Interview Process: Our aim is to keep the interview process as straightforward and enjoyable as possible, and will consist of the following stages: Screening call with Talent team (30 minute video call) Getting to Know You + Live Coding (45-minute video call, first 25 mins will be an introductory chat followed by two live coding exercises from ) Take home technical task (max 1 2 hours to complete, or if you have something interesting you recently built and would like to showcase then that's perfectly OK) 1.5 hour technical interview (the first half of the call will be used to discuss the take home technical task from the previous stage and the second half will consist of system design and some general architecture/tech questions) Meet the team (in person chat with the wider team) Please let us know if there's anything we can do to better accommodate you throughout the interview process - this can be from scheduling interviews around childcare commitments to accessibility requirements. We want you to show your best self in the process, so please speak to your Talent Partner

About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About The Role Claude has your back. AIRE has Claude's. Help us keep Claude reliable for everyone who depends on it. AIRE (AI Reliability Engineering) partners with teams across Anthropic to improve reliability across our most critical serving paths every hop from the SDK through our network, API layers, serving infrastructure, and accelerators and back. We jump into the trenches alongside partner teams to make the systems that deliver Claude more robust and resilient, be it during an incident or collaborating on projects. Reliability here is an emergent phenomenon that transcends any single team's boundaries, so someone has to zoom out and look at the whole picture. That's us and it means few teams at Anthropic offer this kind of dynamic, cross-cutting exposure to the systems that matter most. Responsibilities Develop appropriate Service Level Objectives for large language model serving systems, balancing availability and latency with development velocity. Design and implement monitoring and observability systems across the token path. Assist in the design and implementation of high-availability serving infrastructure across multiple regions and cloud providers Lead incident response for critical AI services, ensuring rapid recovery, thorough incident reviews, and systematic improvements. Support the reliability of safeguard model serving critical for both site reliability and Anthropic's safety commitments. You may be a good fit if you Have strong distributed systems, infrastructure, or reliability backgrounds we're looking for reliability-minded software engineers and SREs. Are curious and brave comfortable jumping into unfamiliar systems during an incident and helping drive resolution even when you don't have deep expertise yet. Think holistically about how systems compose and where the seams are. Can build lasting relationships across teams our engagement model depends on being welcomed as teammates, not outsiders with opinions. Care about users and feel ownership over outcomes, even for systems you don't own. Have excellent communication and collaboration skills you'll be partnering across the entire company. Bring diverse experience the team's strength comes from people who've built product stacks, scaled databases, run massive distributed systems, and everything in between. Strong candidates may also Have been an SRE, Production Engineer, or in similar reliability-focused roles on large scale systems Have experience operating large-scale model serving or training infrastructure (>1000 GPUs). Have experience with one or more ML hardware accelerators (GPUs, TPUs, Trainium). Understand ML-specific networking optimizations like RDMA and InfiniBand. Have expertise in AI-specific observability tools and frameworks. Have experience with chaos engineering and systematic resilience testing. Have contributed to open-source infrastructure or ML tooling. The annual compensation range for this role is listed below. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary £325,000-£390,000 GBP Logistics Education requirements We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links-visit directly for confirmed position openings. How We're Different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact - advancing our long-term goals of steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage Learn about our policy for using AI in our application process

About Our Client Our client is an innovative AI-powered brand analytics platform that helps businesses understand their brand perception, competitive landscape, and market positioning through advanced AI-driven analysis. They leverage multiple Large Language Models to deliver actionable insights that enable brands to optimize their visibility and competitive positioning in the market. The platform runs a production multi-agent system on AWS, orchestrating multiple AI providers across signal generation, content, and research workflows, and is exposed to clients through their own MCP server. What We're Looking For We are seeking an AI Engineer to help shape the technical direction of the AI platform. You will design and evolve the agentic systems that power this solution - multi-agent orchestration, LLM pipelines, evals, and the cloud infrastructure that runs them. You should be hands-on, opinionated about how AI systems should be built, and excited to set the bar for an engineering team that ships AI features fast and safely. We value engineers who actively use AI agents and automation tools in their own workflows and stay current with the field as it moves. Key Responsibilities 1. Agentic AI Systems Design, build, and evolve multi-agent systems and LLM-powered pipelines. You will: Design agent topologies - planner/executor, supervisor/worker, reflection loops, human-in-the-loop Build and extend agents using frameworks like LangGraph, Strands, and Agent SDKs Evolve the agent harness - execution loop, tool dispatch, context management, sub-agent spawning, and sandboxing Design agent memory, context management, and tool-calling patterns Extend the MCP server with new tools and capabilities Enforce structured outputs and validation across LLM boundaries 2. LLM Quality, Evals & Observability Build the layer that lets the team ship LLM features with confidence. You will: Design and grow the eval platform - golden datasets, regression suites, LLM-as-judge Integrate observability and tracing across providers and prompt versions Track cost, latency, and quality per prompt, model, and client Build guardrails for prompt injection, PII, and output safety Drive prompt engineering practice - versioning, A/B testing, platform overlays 3. Cloud & Data Infrastructure Own the cloud substrate that runs the AI workloads. You will: Architect and maintain AWS infrastructure (ECS Fargate, Lambda, Step Functions, EventBridge, S3, Athena, DynamoDB, Bedrock) Build and operate data pipelines that move LLM outputs from generation to analytics Manage containerized deployments, CI/CD, and infrastructure as code Ensure reliability, observability, and cost efficiency across the platform 4. Security, Compliance & AI Safety Implement IAM, encryption, and network security best practices Manage secrets and audit logging Enforce multi-tenant isolation across agents, prompts, and data Defend against prompt injection, jailbreaks, and PII leakage 5. Technical Leadership Set technical direction for the AI platform and drive architecture decisions Make build-vs-buy calls on frameworks, providers, and tooling Mentor engineers and raise the bar on prompts, evals, and agent design Collaborate with product to translate business goals into AI system architecture What Makes This Role Unique You will work on a production multi-agent platform with real scale and real users - multi-specialist agent systems, LLM pipelines, and a multi-provider stack running on AWS. The interesting problems are not bootstrapping; they are deciding what good looks like and building the systems that get you there.

Artificial Intelligence Engineer Contract: Permanent or Contract considered Roles: Hiring for multiple positions Salary: Very Competitive Location: London A NOTE FROM THE FOUNDERS Oxford Dynamics is at an inflection point. We operate in some of the most complex and high stakes environments in the world - defence, national security, AI and robotics. The decisions we make now will define not just how fast we grow, but who we become. You will work closely with the entire team. You will be trusted with judgment calls. You will influence the business. And you will see the impact of your work every day. If you are excited by ownership, pace and purpose - and by building something that genuinely matters - we would love to hear from you. Who We Are Founded in 2020, Oxford Dynamics is a fast growing UK deep tech company developing AI and robotic systems designed to operate in mission critical environments. Our flagship AVIS (A Very Intelligent System) AI framework fuses multi modal data - text, imagery, telemetry and sensor feeds - enabling operators to interrogate complex information at speed and make better decisions under pressure. Our STRIDER robotic platform performs autonomous tasks in hazardous environments, protecting people while extending operational reach. Our ambition is simple but demanding: to converge AI and robotics so machines can sense, understand and act in complex, real world environments. We work with defence and security organisations internationally to help protect nations, infrastructure and lives. What You Will Be Doing We are looking for AI engineers who build and ship agentic AI systems in production. You will work at the cutting edge of agentic and generative AI - designing multi agent pipelines, integrating large language models and vision language models into real workflows, and deploying them into secure and air gapped environments for defence and national security customers. This is a delivery role. You will own features end to end - from design through to deployment in constrained environments where reliability and security matter more than speed to market. Key Responsibilities Architect, build, and optimise multi agent AI systems using frameworks such as LangGraph, Haystack, or equivalent Integrate LLMs and vision language models into agent workflows for reasoning, search, summarisation, and task execution Deploy AI systems into cloud, on premises, and air gapped environments Build production ready pipelines from data ingestion through to inference Experience with observability for AI systems, including agent behaviour, model performance, and failure modes Collaborate with engineers, product leads, and customers to translate requirements into working systems Contribute to evaluation frameworks, system integration, and performance tracking Act as a technical authority for agentic AI - setting design patterns for junior engineers Required Active DV clearance Commercial experience building multi agent or agentic AI systems in production Strong Python skills and hands on experience with LLM frameworks (LangGraph, LangChain, Haystack, or similar) Experience deploying AI/ML systems into production environments Familiarity with Docker, Git, and cloud platforms (AWS preferred) Understanding of secure deployment patterns - air gapped, on premises, or sovereign cloud Preferred Experience with multimodal reasoning Experience with edge or offline AI deployments Familiarity with Kubernetes (EKS/OpenShift) for monitoring and managing deployed applications MLOps experience - model evaluation, monitoring, reproducibility Observability tooling for agentic systems (model drift, agent behaviour, performance monitoring) Experience with agent orchestration patterns and inter agent communication protocols (e.g. A2A) Familiarity with MCPs for tool and context integration in agentic systems Familiarity with secure by design development principles (ISO 27001, NIST, OWASP) Experience in defence, national security, or similarly regulated environments Contributions to open source AI/ML projects Soft Skills Delivery focused - you ship working systems, not prototypes Comfortable operating across the stack when needed Strong communicator - can present to technical and non technical stakeholders Thrives in small teams with high ownership Why Oxford Dynamics? Join the most exciting growth area in the UK: AI and Robotics! Every member of the Oxford Dynamics team has a major impact on the products and services we provide. Regardless of job title, you will get to make a real difference and learn from colleagues about all areas of our business. Benefits include: Rapid career progression and personal growth Flexible working hours Opportunity to shape the future of a fast growing business Hybrid working model Company pension (NEST) with 4% employer contribution Private Healthcare 29 days holiday + public holidays Oxford Dynamics is committed to creating an inclusive team experience for all. Regardless of race, gender, religion, sexual orientation, age, disability, or parental status, we believe our work is at its best when everyone feels free to be their authentic self.