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About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human like AI voice model. Today, we serve millions of users and thousands of businesses - from fast growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. Impact not job titles: We don't have job titles. Instead, it's about the impact you have. No task is above or beneath you. AI first: We use AI to move faster with higher-quality results. We do this across the whole company-from engineering to growth to operations. Excellence everywhere: Everything we do should match the quality of our AI models. Global team: We prioritize your talent, not your location. What we offer Innovative culture: You'll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what's possible. Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. Co-working: If you're not located near one of our main hubs, we offer a monthly co-working stipend. About the role We're looking for an experienced AI Safety Engineer to drive the deployment and operationalization of automated moderation and guardrail systems that protect our platform and users across a multimodal space. You'll work alongside a team of ML and full stack engineers to build production-grade safety infrastructure from the ground up. This is a product ownership role where you'll be responsible for end-to-end technical execution of our safety systems, from architecture to deployment and monitoring. You'll bridge the gap between ML research and production-grade systems, ensuring our safety infrastructure is robust, observable, and scalable. What you'll do: Design and build scalable backend infrastructure for content moderation, abuse detection and agents guardrails, deploying AI/ML models into production systems Architect robust APIs, data pipelines, and service architectures supporting real-time and batch moderation workflows Implement comprehensive monitoring, alerting, and observability systems; establish SLIs, SLOs, and performance benchmarks Partner with ML engineers to translate research models into production-ready systems and integrate them across our product suite Drive technical decisions and contribute vision to the safety roadmap on how the next generation of platform guardrails should be built for scale and precision. Requirements 6+ years of backend software engineering experience building production systems at scale Strong production backend experience: distributed systems, APIs, data pipelines, and Python expertise (asynchronous Python, backend frameworks) Infrastructure & DevOps proficiency: cloud platforms (AWS/GCP), containerization (Docker/K8s), CI/CD pipelines Observability mindset with experience in monitoring tools (Prometheus, Grafana) and building observable systems Track record of taking products or systems from 0 1 with measurable impact, including deploying or working alongside ML/AI systems in production Bonus: Trust & Safety, Content Moderation, or Integrity engineering experience MLOps experience: deployment, monitoring, and versioning of ML models Experience with SQL, data analysis tools, real-time streaming systems (Kafka, Redis), or event-driven architectures Familiarity with React or modern frontend frameworks Location This role is remote and can be executed globally. If you prefer, you can work from our offices in Bangalore, Dublin, London, New York, San Francisco, Tokyo, and Warsaw.

A total cash package of up to £110,000 comprising of a base salary of £82,005 We are a dynamic consulting firm, focused on delivering sustainable change. We ensure our clients succeed in their long-term goals by helping them turn their strategy into action through exceptional delivery and a commitment to establishing a culture of change. Clients like what we do and how we work, and we are looking for people to join the Moorhouse team. We pride ourselves on being proactive, collaborative, and straightforward team players. We work efficiently and collaboratively as a team and both honesty and integrity are key to this. In return you will be part of a supportive and high-performing team that shares the workload, looks after each other and celebrates success together. You can be assured of an exciting opportunity that will help you grow your skills through meaningful challenges and equip you with skills, experience and knowledge that can help organisations respond to the turbulence, change and opportunity that will define the future of work. We encourage behaviours that promote transparency, collaboration and achievement of shared goals. Data Science at Moorhouse Our Data Science capability is a growing and strategically significant part of Moorhouse. We help organisations unlock the value of their data by combining deep technical expertise with the consulting skills needed to drive real-world change. Our team works across the full data and analytics lifecycle,from defining strategy and enabling data-driven cultures, to building advanced analytical models and delivering digital products that embed predictive insight into everyday decision-making. We partner with clients across multiple sectors, including healthcare, energy and utilities, life sciences, financial services and TMT. Much of our work today focuses on developing and deploying analytical tools and web-based products that deliver forecasting, optimisation, and automated insight. Our projects span machine learning, statistical modelling, data engineering, data visualisation and MLOps, always with a focus on driving tangible business outcomes. As demand for digital and AI-enabled transformation continues to grow, our Data Science team is expandingand contributing to some of the most impactful programmes across the firm. Responsibilities Why join the Data Science team at Moorhouse? We are seeking a hands-on, technically focused Manager to join the Data Science function, who will lead the delivery of complex data science and digital product projects. While there will be opportunities to contribute to business growth and propositions, the key component of this role is strong technical delivery : architecting solutions, guiding teams, and ensuring the highest-quality output. This role complements another Manager in the team who is focused on proposition development and commercial growth. You will bring the deep engineering and delivery expertise necessary to ensure our solutions are robust, scalable and production-ready. In this role, you will have the opportunity to: Lead complex end-to-end delivery of data science and digital product solutions Lead the delivery of high-impact projects involving machine learning, forecasting, optimisation and data-driven digital products. Design and architect analytical solutions, including modelling approaches, data pipelines, integration patterns and deployment frameworks. Promote delivery excellence, engineering discipline and best-practice coding standards across teams. Be the technical leadership on DevOps/MLOps Implement and embed CI/CD pipelines, automated testing frameworks, containerisation and monitoring. Guide cloud architecture and infrastructure-as-code approaches (AWS, Azure, GCP). Encourage best practices for operationalising machine learning models at scale. Lead multidisciplinary teams with confidence Coach, mentor and support junior team members, ensuring they deliver high-quality technical work. Foster engineering maturity and support the development of technical capability across the team. Engage with senior stakeholders Translate technical detail into actionable insights and recommendations for clients. Build trusted relationships with leaders across multiple sectors. Support commercial and proposition development Provide technical input into proposals and bids. Contribute to refining our Data Science and AI propositions. Essential skills What are we looking for? We are seeking candidates with 6-8+ years of experience in data science, data engineering, analytics or AI product delivery, with a strong emphasis on hands-on technical leadership. Deep Technical Delivery Expertise Advanced proficiency in Python and SQL ; experience designing and delivering production-grade solutions. Operationalisation of machine learning models, forecasting tools, optimisation algorithms or analytical applications. Experience designing data pipelines, ETL workflows, APIs and data integration approaches. Automated testing (unit, integration, data validation, ML testing) Infrastructure-as-code (Terraform, ARM, CloudFormation) Monitoring and observability Experience with cloud ecosystems (Azure, AWS, GCP, Snowflake, Databricks). Strong understanding of software engineering fundamentals and modern development practices. Leadership & Consulting Capability Proven ability to lead delivery of complex technical programmes. Strong people leadership and mentoring capabilities. Excellent communication skills and ability to engage senior stakeholders. Collaborative mindset and commitment to high-quality client delivery. What we can offer you: A total cash package of up to £110,000 comprising of a base salary of £82,005 and a combination of personal and company bonuses that are paid every six months. 25 days annual leave increasing by one day for every full year of service to a maximum of 30 days with the option to buy or sell up to five days of annual leave per year. Life Assurance, Private Medical Insurance, Group Personal Pension Scheme and a range of discounted lifestyle and well-being benefits through Perkbox. A culture where you will not need to compete with others because of promotion quotas or the typical distribution curves that govern performance management in other organisations. We recognise and reward performance consistently and transparently across the firm so that everyone knows where they stand. We offer flexible working arrangements with our offices near Liverpool Street although you can expect to spend some time as part of a team onUKclient sites.Wesupport flexibility wherever possible. Moorhouse is proud to be an equal opportunities employer, and our values underpin a working environment that is inclusive for all those who work for us. We encourage people to bring their whole selves to work, contribute ideas, take the initiative and be responsible for their impact on others internally and externally. We value your privacy

Overview Ubisense is a company at the forefront of Industry 4.0 and the Industrial Internet-of-Things. We build products that transform physical space into "smart space", enabling software to see, understand and participate in the real world of people and business activities. In so doing, we augment people and objects with new forms of insight and intelligence that make the environments we live and work in more productive, safe and profitable. This unique ability to connect the physical to the digital has been our driving force for more than 18 years and has enabled Fortune 500 manufacturers like Daimler-Benz, Lockheed Martin and John Deere to revolutionise the way they build our cars, the most advanced aircraft and the machinery that grows our food. We are a privately held company with around 60 employees, supporting customers across North America, Europe, UK, Japan and the Middle East. We have ambitious and well-funded growth plans, requiring talented people to help execute on our vision. We are looking for people who are interested in the future, who believe that technology will play a fundamental role in improving the world of tomorrow, and who want to be a part of making that happen. About the role Ubisense delivers solutions based on our SmartSpace and Dimension4 products, providing real-time visibility and control to customers in advanced manufacturing, transit, pharmaceutical, and defence sectors. SmartSpace is a highly configurable software platform targeted at complex problems in IoT and Industry 4.0. Many SmartSpace applications also use our world leading Dimension4 Real Time Location System. The Head of Software Engineering is accountable for building and operating a high-performing engineering organisation that delivers secure, reliable, and maintainable software at pace. This role owns the end-to-end engineering lifecycle-from strategy and architecture to delivery, tooling, and quality-while cultivating engineering excellence and modern DevOps/CI/CD practices. The successful candidate is a hands-on technical leader who can write code, set engineering standards, and lead teams through change. Key Outcomes (12-18 months) Reliable, predictable delivery: Transparent quarterly release train and sprint cadences; measurable improvements on DORA metrics (lead time, deployment frequency, change failure rate, MTTR). Modern delivery pipeline: A robust CI/CD platform with automated build, test, security scanning, and progressive delivery; trunk-based workflows and high-quality code reviews. Fit-for-purpose architecture: Clear architectural runway, reference designs, and decision records (ADRs); reduced complexity and improved scalability. Quality by design: Shift-left testing, high unit/integration test coverage, meaningful end-to-end test automation, and clear quality gates. Engineering culture: Engaged teams with strong craftsmanship, documentation standards, and continuous improvement mindset (SPACE metrics for developer experience). What you will do Strategy and Planning Define the engineering operating model, aligning architecture, delivery, and platform engineering to product goals. Translate business objectives into technical roadmaps, capacity plans and quarterly OKRs. Delivery Ownership Own the what/when/how of engineering delivery: intake, prioritisation, estimation, sprint planning, release readiness. Establish portfolio and release governance with clear stage gates (architecture, security, test, documentation). Architecture and Technical Direction Chair architecture forums; set standards for patterns, APIs, data, and cloud infrastructure; steward ADRs. Ensure systems are observable (logs, metrics, traces) with SLOs and error budgets; lead major incident reviews and blameless post-mortems. Methods, Tooling and Platform Define and evolve SDLC and development methodologies (Agile/Scrum/Kanban, trunk-based development, code review practices). Own the DevOps toolchain (source control, CI/CD, artefact management, IaC, secrets management, environments, test automation, security scanning). Partner with IT on platform reliability, scalability, cost, and resilience. Quality and Security Set quality standards and test strategies (unit, integration, E2E, performance, security); implement coverage targets and defect escape thresholds. Embed secure coding and secure release practices. People Leadership and Organisation Lead architects, developers, testers, and tech authors; nurture craft disciplines and communities of practice. Hire, onboard, mentor, and develop engineering talent; define career ladders, and competencies. Stakeholder Management Work closely with Product, Support, Professional Services, and IT to ensure the roadmap is feasible, valuable, and supportable. Communicate plans, risks, and outcomes concisely to executives and non-technical stakeholders. Financial and Vendor Ecosystem In conjunction with the CIO, manage engineering budgets, cloud/runtime costs, and ROI on tooling. Evaluate and govern vendors (cloud, tooling, testing services). Documentation and Knowledge Ensure clear, current documentation (architecture, APIs, runbooks, user guides) and a robust knowledge base. Establish standards and workflows for Technical Authors integrated with release trains Required Qualifications and Experience Track record of leading engineering at Head of Engineering level (or equivalent). Experience with DevOps/CI/CD (Git, pipelines, artifact repositories), IaC (e.g., Terraform/Bicep), containers/orchestration (Docker/Kubernetes), and cloud platforms (Azure/AWS). Strong command of software architecture (domain-driven design, modular monoliths/microservices, eventing), APIs, and data design. Proven quality leadership: test automation strategies, reliability engineering (SLOs, error budgets), performance engineering. Demonstrated security leadership within engineering: secure coding practices, vulnerability management, SBOMs, suppy-chain security, threat modelling. Expertise in modern Agile delivery (Scrum/Kanban), product collaboration, and scaling patterns (e.g., lightweight portfolio cadence). Nice-to-Have Experience with manufacturing/location-based solutions or industrial interfaces (OPC, MQTT), data streaming, and edge deployment. Familiarity with documentation workflows and tech' authoring standards. Exposure to ITIL-aligned change/release processes and ISO/IEC quality/security frameworks. Qualifications Bachelor's degree in computer science, Engineering, Mathematics, or a related field with a high computing content. Core Competencies Technical leadership: Sets high bars, makes pragmatic decisions, and can deep dive when needed. Delivery excellence: Turns strategy into outcomes, manages trade-offs, and drives predictability. Communication: Explains complex topics to varied audiences; crisp executive updates. People and culture: Builds inclusive, high-trust teams; coaches and multiplies talent. Systems thinking: Optimises end-to-end flow and reliability, not just local focus. Key Performance Indicators (KPIs) DORA: Lead time for changes; Deployment frequency; Change failure rate; MTTR. Quality: Defect escape rate; Test coverage health; Mean time between incidents; Performance SLAs/SLO adherence. Flow and predictability: Throughput, cycle time, on-time delivery vs. plan, WIP limits adherence. Security and compliance: Vulnerability remediation time; dependency hygiene; SBOM coverage; audit readiness. Working Practices and Governance SDLC policies and quality gates are enforced via automation (build, test, scan, deploy) with clear "go/no-go" criteria at each stage. Documentation is a first-class deliverable; releases are accompanied by updated architecture notes, API references, and user guides. Continuous improvement: Regular retrospectives across teams; quarterly engineering reviews; blameless culture. Personal Attributes You manage your time effectively. You are willing to travel occasionally both nationally and internationally.

Aker Systems was founded in 2017 by a team of experienced technology professionals who recognised an opportunity to provide highly secure enterprise data platforms to large organisations. We build and operate ground breaking, ultra secure, high performance, cloud based data infrastructure for the enterprise. Our proprietary technology solutions drive performance and reduce costs while helping our clients to improve the management and sharing of data across their organisations. In 2024, Aker Systems won the Breakthrough Culture Awards highlighting growth companies putting culture first. In 2020 Aker Systems was recognised as a 'One to Watch' on the Sunday Times Tech Track. The Company was also recognised at the Thames Valley Tech Awards 2020; winning the Thames Valley Tech Company of the year, the Emerging Tech Company and High Growth Tech Business categories. We encourage people of all different backgrounds and identities to apply. We are committed to maintaining an inclusive, and supportive place for you to do your very best work. As Managing Architect, you will be passionate about digital, data and technology led transformation, unlocking innovation for our clients, and providing leadership throughout the client engagements. The applicant who possesses knowledge and experience of Public Sector (Central Government) and understands their governance and security processes, preferably across multiple government departments, is strongly preferred. A UK Government Security Check (SC) clearance is required for this role. If you don't hold SC clearance, we will support you to apply assuming you have lived and worked in the UK for a minimum of 5 years. Due to the nature of the projects, British citizenship is required. Duties & Responsibilities Aker Managing Architect is primarily a client delivery, management, and growth role, expected to be 90% or more of the time across one or more client assignments. Technical Leadership: Part of the client leadership team as the Client CTO for assigned projects/services, supporting the Client Delivery Director, Client Account Director and the delivery team to ensure we deliver against all client deliverables and payment milestones. Lead Architect: Lead solution, data, cloud, service and security architects/engineers during design and delivery projects and services, and responsible for delivering design documents and other key artefacts to support governance and delivery. Senior Influencer: Need to be a leader and able to influence through excellent communication skills. You will relish collaboration and embrace challenges. You will understand the nuances of business and be driven to find new solutions for our clients' biggest problems. Team Focused: Expected to build effective working relationships with delivery team members and Aker customers and operate without supervision as the technical lead across multiple projects and platforms and mentoring less experienced client team members as required. Capability and Growth: Aker is a fast growing business, so for any remaining % of time when not on client work, it is contributing to the future success of Aker by helping develop capabilities and supporting the other functions such as Sales and Product, and always looking to help grow existing accounts. Essential Experience and Competencies The successful candidate will need to have experience as a lead or managing architect across these core areas: Delivery - designing, delivering platforms and managed services at enterprise scale, specifically bespoke software solutions, particularly in streaming and cloud native solutions. Data Platforms - designing modern data platforms with appropriate architecture covering Data Mesh, Data Fabric, Data Lake etc. Data/Analytics - solving enterprise data and analytics problems using technology Cloud - hands on Public Cloud experience in either AWS/Azure/Google, both their 'services' and 'how' to work in the cloud such as DevOps centric approach Security - having worked in sensitive data environments and ideally have experience facing off to cyber security specialists. The successful candidate will meet all of the following essential criteria: Demonstrable experience in designing large scale cloud migration projects/programmes with open source and commercial software within AWS, Azure, GCP or hybrid Experience in operating within a multi disciplined team and clearly communicating complex technology solutions to technical and non technical people Experience designing event processing and async messaging architectures Experience applying latest technologies to solve complex problems and to develop innovative data and analytical solutions Working knowledge of cloud orchestration and containerisation technologies, such as Docker and Kubernetes Working knowledge of DevOps, CI/CD and Infrastructure as Code Understanding of NCSC Cloud Security Principles and its practical implementations Aker Systems Attributes At Aker we work as a team; we are collaborative, hardworking, open, and delivery obsessed. There is no blame culture here: try things, and take responsibility for the outcomes. You are always part of the wider Aker. We help our colleagues and take pride in successfully achieving difficult tasks. We run towards problems and help to solve them. Communicate always, do so accurately and in a timely fashion. In return, we offer a competitive salary, 25 days holiday plus bank holidays, company paid medical insurance and life assurance, pension scheme, annual training allowance, wellbeing allowance, virtual GP, Employee Assistance plan and more. Equality, Diversity & Inclusion Aker Systems fosters a diverse environment that encourages openness in its communications and is committed to providing equal employment opportunity for all people regardless of race, religion, gender or sexual orientation, age, marital status, national origin, citizenship status, disability, veteran status or other personal characteristics. We embrace differences of opinion and diversity because they help challenge us and find new groundbreaking technical solutions.

A leading tech company in Cheltenham is seeking a Senior/Principal DevOps Engineer to design and implement automation and CI/CD pipelines for complex systems. The role requires recent active SC or DV clearance and involves working closely with cloud platforms like AWS. Candidates must have deep experience with IaC tools such as Terraform and Kubernetes. This position offers a hybrid work model with a competitive salary and a strong emphasis on team collaboration and continuous improvement.

Define the global AI & Intelligent Automation strategy, fully aligned with enterprise digital transformation and innovation goals. Establish governance frameworks for AI ethics, model transparency, and Responsible AI, ensuring adherence to regulatory and risk requirements (e.g., NIST AI RMF, EU AI Act). Serve as the senior executive sponsor for AI architecture, operating model design, and enterprise adoption roadmap. Enterprise AI & GenAI Ecosystem (not exhaustive or limiting) Oversee the design and deployment of enterprise grade AI solutions using Python, .NET, and cloud native MLOps pipelines. Direct teams working with advanced frameworks such as PyTorch, TensorFlow, Hugging Face, ONNX Runtime, and LangChain, along with orchestration tools including Semantic Kernel, LangGraph, and CrewAI. Drive responsible integration of Large Language Models (LLMs) from OpenAI, Anthropic, Google Gemini, and Mistral, including deployment through Azure OpenAI Service or Vertex AI. Implement RAG architectures and manage vector databases (Pinecone, Weaviate, FAISS, Milvus) to power enterprise knowledge intelligence platforms. Lead the evolution of the enterprise data landscape using modern platforms such as Databricks, Snowflake, Azure Synapse, and BigQuery. Oversee data engineering with Apache Airflow, dbt, and Prefect, ensuring performance, governance, and alignment with enterprise metadata standards (Collibra, Alation, Microsoft Purview). Drive adoption of Delta Lake, Iceberg, and Hudi to support scalable data lakehouse architectures. Ensure high quality, compliant, and reliable data foundations for ML and analytics workloads. Cloud, Infrastructure & MLOps Champion multi cloud architecture across Azure, AWS, and GCP. Ensure resilient, secure, and cost efficient deployments using Docker, Kubernetes (AKS/EKS/GKE), and Terraform/Bicep. Lead enterprise MLOps capabilities using Azure ML, SageMaker, Vertex AI, MLflow, and Kubeflow, integrated with CI/CD (GitHub Actions, Azure DevOps, Jenkins, Argo CD). Oversee observability and monitoring using Prometheus, Grafana, ELK/EFK, and OpenTelemetry. Enterprise Integration with .NET Ecosystems Guide the integration of AI/ML pipelines into enterprise scale .NET Core applications and service oriented architectures. Modernize legacy systems through microservices, REST/gRPC APIs, and event driven architectures (Azure Service Bus, Kafka). Implement secure DevSecOps practices-SonarQube, Checkmarx, Vault, Azure API Management-in line with enterprise compliance standards. Drive end to end intelligent automation initiatives using Power Automate, Blue Prism, and Automation Anywhere. Integrate cognitive services (Azure Cognitive Services, AWS Comprehend, Form Recognizer, Speech/Translation APIs) to enhance workflow intelligence. Lead enterprise process mining using Celonis, Power BI Process Mining, and ProcessGold. Oversee integration of analytics and AI capabilities to deliver measurable business impact. Advance analytics maturity using Power BI, Looker, and Azure Analysis Services. Promote predictive and optimisation modelling using PyCaret, Prophet, and Optuna to strengthen data driven decision making. Security, Compliance & Responsible AI Ensure alignment with enterprise security frameworks (SOC2, ISO27001, NIST). Oversee identity and access management via Azure AD, OAuth2, OpenID Connect, and enterprise IAM systems. Champion ethical AI practices, including bias detection, explainability, and responsible use frameworks such as the Azure Responsible AI Dashboard. Build and lead high performing global teams across data science, engineering, and automation. Foster a culture of innovation, continuous learning, and responsible experimentation. Engage with the broader AI ecosystem-including academia, hyperscalers, and startups-to identify emerging technologies and partnership opportunities. Preferred Background Proven experience integrating Python based AI with enterprise .NET ecosystems. Deep expertise across multi cloud environments, data governance, and enterprise grade DevSecOps. Demonstrated success delivering large scale transformation programs with measurable ROI. Strong executive presence with exceptional communication and stakeholder management skills.

We're on a mission to make real estate transactions smarter, faster, and friction-free. Real estate is the world's largest asset class, yet the legal processes and tools behind it remain slow, manual, and underinvested. Lawyers must review dense documents line by line and piece together information across silos, all while clients demand faster, more transparent due diligence. That's where we come in. Orbital Copilot is the AI assistant built exclusively for commercial real estate law. Developed with former practicing real estate lawyers, it accelerates complex due diligence by up to 70% while delivering legal-grade precision. We've just raised a $60m Series B to accelerate our UK/US expansion. We're trusted by leading firms like Goodwin and BCLP to remove the busywork so legal teams can focus on what they do best: applying sharp legal judgment, delivering standout client service, and getting deals over the line faster. Working at Orbital means joining a team that's reimagining how real estate transactions get done - moving fast, working collaboratively, and giving people the ownership to make a real impact from day one. Role Overview Are you excited about leading the development of cutting-edge AI technologies that will transform how Real Estate transactions are conducted? As a Technical Lead focused on Orbital Copilot, you'll play a pivotal role in shaping the future of our AI-driven assistant, designed to revolutionise the property due diligence process. Your work will drive the innovation behind a product that simplifies and accelerates real estate transactions, making complex processes seamless. You'll guide a talented team of engineers from concept to deployment, ensuring our AI platform remains at the forefront of the industry while delivering real-world impact for our users. What to be excited by: Lead with Impact: Support a talented team of AI engineers and software engineers, mentoring them to create groundbreaking, scalable AI-driven SaaS products that are changing the way Real Estate is transacted. Shape the Future: Architect and design AI systems from the ground up, ensuring that they are cutting edge, robust, and scalable to meet real-world challenges. Own the Process: Drive the entire development lifecycle-concept to production-taking ownership of projects and the opportunity to see your ideas come to life. Collaborate for Innovation: Work closely with diverse teams-product, AI Engineering, Product Design and Legal Engineering-to bring creative solutions to market that perfectly align with business goals. Champion Excellence: Lead efforts to continuously enhance code quality, reliability, and development processes, driving innovation through automation, testing, and best practices. Guide the Vision: Play a key role in managing the technical roadmap, where you'll balance immediate deliverables with strategic growth and cutting edge technology. Stay at the Forefront: Work with the latest frontier models including GPT 5 and Claude 3.5 across text and vision, incorporating them into our platform and constantly pushing the boundaries of what's possible. Drive Real Impact: Ensure the scalability of our domain specific AI product, Orbital Copilot, contributing to solutions that not only meet but exceed industry standards. Ensure Secure Development Practices: Oversee and enforce secure coding practices and compliance with company information security policies, standards, and ISO 27001 requirements across the development team. You should apply if: ️ Proven experience (3+ years) as a Technical Lead, hands on engineering manager or similar leadership role in AI/ML, software development, or SaaS start ups. You have a keen interest the latest in Gen AI and LLMs, algorithms, and technologies (e.g., NLP, computer vision, predictive analytics). Experience with cloud platforms (AWS, Google Cloud, Azure) and experience with microservices, containerisation (Docker, Kubernetes), DevOps and CI/CD pipelines. You have hands on experience with Python, React, Typescript, Kubernetes. Excellent problem solving skills, with the ability to lead, inspire and motivate a team. Strong communication and leadership skills, with the ability to collaborate with both technical and non technical stakeholders. Start up mindset: positive, enthusiastic, adaptable, proactive, and comfortable working in a fast paced, dynamic environment. Benefits: Competitive starting salary Matched pension contributions Flexible working hours and location 25 days paid holiday (plus bank holidays) Professional equipment and personal development budget along with training opportunities to learn and develop your skills Cycle to work scheme An inclusive community enjoying all company off sites, lunches and socials Security is everyone's responsibility at Orbital. We ask all team members to follow our security policies, complete regular awareness training, and handle sensitive data with care in line with ISO 27001 standards. Spot something unusual? Reporting risks or incidents quickly helps us maintain the strong culture of security and compliance we all depend on. At Orbital, we're committed to building a diverse and inclusive team. We especially welcome applications from people who are traditionally underrepresented in tech. Even if you don't meet every single requirement, or if the right role isn't listed yet, we'd still love to hear from you. This hiring range is a reasonable estimate of the base pay range for this position at the time of posting. Pay is based on several factors, which may include job related knowledge, skills, experience, and business requirements.

PIMCO is a global leader in active fixed income with deep expertise across public and private markets. We invest our clients' capital across a range of fixed income and credit opportunities, leveraging our decades of experience navigating complex debt markets. Our flexible capital base and deep relationships with issuers have helped us become one of the world's largest providers of traditional and nontraditional solutions for companies that need financing and investors who seek strong risk-adjusted returns. Since 1971, our people have shaped our organization through a high-performance inclusive culture, in which we celebrate diverse thinking. We invest in our people and strive to imprint our CORE values of Collaboration, Openness, Responsibility and Excellence. We believe each of us is here to help others succeed and this has led to PIMCO being recognized as an innovator, industry thought leader and trusted advisor to our clients. Position Summary We are seeking an experienced Technology Lead for Treasury Management to oversee the strategy, architecture, and delivery of our treasury technology ecosystem across PIMCO. This leader will partner with Portfolio Managers, Investment Operations, Risk, and External Partners to enable efficient cash management, collateral management, funding optimization, and funding workflows. This is a high-impact role that supports investment execution, liquidity oversight, and operational resiliency for our global funds and client portfolios. You will modernize core treasury capabilities, elevate controls, and deliver scalable, data-driven technology solutions that support the speed and complexity of buy-side operations. What You Will Do Technology Leadership & Architecture Develop and execute the technology roadmap for treasury applications and integrations. Architect and oversee end-to-end solutions. Drive modernization through APIs, automation, cloud services, and data-driven capabilities. Delivery & Execution Lead engineering teams and vendors through design, development, testing, delivery, and support. Oversee enhancements, implementation, and optimization of platforms. Ensure systems meet security, performance, scalability, and resiliency standards. Treasury Domain Expertise Translate business needs into technical solutions. Collaborate with Treasury, Finance, Compliance, and Risk to ensure regulatory and control alignment. Stakeholder & Vendor Management Serve as a strategic advisor to Treasury leadership. Manage relationships with stakeholders and external vendors. Define project priorities, budgets, and resource plans for treasury technology initiatives. Operational Excellence Promote best practices in DevOps, application monitoring, incident management, and automation by partnering closely with technology operation team. Strengthening controls for payments, access management, sensitive data, and system governance. Ensure audit readiness and ongoing compliance with internal control frameworks. Requirements 10+ years of technology leadership experience in relevant fields. Strong technical skills in: Cloud technologies (Azure, AWS) SQL, data modeling, ETL processes DevOps pipelines and CI/CD Solid understanding of distributed systems Experience with microservices architecture and cloud-ready application development. Experience with Kafka and real-time messaging systems. Experience in Gitlab and expertise in continuous integration and delivery techniques Deep understanding of treasury processes including cash management, and collateral management. Excellent communication, executive presence, and stakeholder management skills. Preferred Qualifications Exposure to liquidity risk systems. Experience in building collateral, liquidity and other funding optimizers. Equal Employment Opportunity and Affimative Action Statement PIMCO recruits and hires qualified candidates without regard to race, national origin, ancestry, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), sexual orientation, gender (including gender identity and expression), age, military or veteran status, disability (physical or mental), any factor prohibited by law, and as such affirms in policy and practice to support and promote the concept of equal employment opportunity and affirmative action, in accordance with all applicable federal, state, provincial and municipal laws. The company also prohibits discrimination on other basis such as medical condition, or marital status under applicable laws. Applicants with Disabilities PIMCO is an Equal Employment Opportunity/Affirmative Action employer. We provide reasonable accommodation for qualified individuals with disabilities, including veterans, in job application procedures. If you have any difficulty using our online system due to a disability and you would like to request an accommodation, you may contact us at and leave a message. This is a dedicated line designed exclusively to assist job seekers with disabilities to apply online. Only messages left for this purpose will be considered. A response to your request may take up to two business days.