Ellison Institute of Technology Oxford

Product Designer

• Write well designed, testable, efficient code by using best software development practices
• Create responsive website layouts and user interfaces by using Webflow, and where applicable standard HTML/CSS practices
• Integrate data from various back-end services and databases
• Support the Digital Experience team with specifications and requirements based on technical needs
• Create and maintain software documentation
• Engage with emerging technologies/industry trends and apply them into operations and activities

UI Designer – Developer

Product Manager

• Strategic Leadership: Define product vision, strategy, and roadmap for estates and facilities systems (CMMS, EMS, BMS, construction platforms, warehouse/logistics).
• Product Ownership: Manage full product lifecycle requirements gathering, backlog prioritisation, and translating business needs into technical specifications.
• Systems Implementation: Lead deployment and integration of Oracle-based systems and estates platforms; ensure scalability and security.
• Vendor & SI Management: Act as primary liaison with Systems Integrators and vendors; oversee performance and compliance.
• Data & Continuous Improvement: Improve data quality, reporting, and analytics for asset performance and energy optimisation.
• Stakeholder Engagement: Drive change management, training, and user adoption across estates and facilities teams.

Product Manager – Estates & Facilities

Frontend Engineer

• **Your Role: **
• At EIT we are seeking an experienced and detailed orientated **Full Stack Software Engineer (Frontend Leaning)** to support the design, build, and maintenance of our web-based SaaS platform that enables researchers and clinicians to engage with our scientific pipelines and data platform. Your work will shape a world-class experience for a diverse set of users, enabling step-changes in global genomics research and clinical practice.
• This role will involve hands-on software engineering as part of a cross-functional team. You’ll collaborate with engineers, product managers, and platform specialists to deliver secure, reliable, and high-quality software.
• **Key responsibilities:**
• - Build and maintain full stack, but predominantly front-end features for the GPAS Portal and new web applications.
• - Contribute to technical design for new tools and help maintain existing platforms.
• - Collaborate cross-functionally with product to translate scientific needs into user-focused tools.
• - Contribute to the team through hands-on coding, code reviews, and technical design reviews.
• - Contribute to the scalability and reliability of the overall solution, handling large amounts of genomic, and other multi-modal data.
• - Champion usability, ensuring interfaces meet the needs of clinicians and researchers.
• - Enhance performance and responsiveness of user interfaces for data-heavy applications.

Full Stack Software Engineer, Frontend Leaning

Full-stack Engineer

• **Your Role:**
• At EIT we are seeking an experienced and detailed orientated** Instrumentation Software Engineer** to help shape the future of diagnostic technology within our applied sequencing team.
• In this role, you’ll design and develop control software, firmware, and embedded applications that bring laboratory instrumentation to life, enabling real-time coordination of pumps, valves, sensors, and actuators within a cutting-edge point-of-care metagenomic sequencing platform.
• As the first Instrumentation Software Engineer on the team, you’ll act as a subject matter expert, adapting to the evolving needs of a dynamic R&D programme.
• You’ll work closely with electrical instrumentation engineers, microfluidic scientists, and data engineers to transform system requirements into intelligent, automated instruments capable of precise fluidic manipulation, heating, cooling, and telemetric data collection.
• This is a hands-on R&D role for an engineer who loves bridging hardware and software, writing code that makes physical systems move, think, and measure.
• **Key Responsibilities:**
• - Design, implement, and maintain control software, firmware, and automation systems for in-house laboratory instruments.
• - Integrate hardware and software, ensuring seamless communication between electrical, mechanical, fluidic, and computational subsystems.
• - Develop and test embedded control logic for pumps, valves, sensors, and actuators used in microfluidic and diagnostic instrumentation.
• - Implement and maintain device communication protocols (e.g., serial, I²C, SPI, Modbus, CAN, TCP/IP) for hardware integration.
• - Develop telemetry and data logging systems to capture and visualise real-time operational data.
• - Collaborate with the Electrical Instrumentation Engineer to ensure software and hardware systems operate cohesively.
• - Test, validate, and debug software and firmware on prototype instruments to ensure reliability and accuracy.
• - Write clear documentation, including inline comments, user manuals, and design notes to support maintainability and reproducibility.
• - Conduct code reviews, write unit tests, and participate in CI/CD workflows to maintain high-quality, traceable software.
• - Support integration testing and verification within the full instrument stack, from benchtop setups to deployed prototypes.

Instrumentation Software Engineer – Pathogen

Executive Assistant

• Provide high-level, dedicated support to one C-level executive, ensuring they remain focused on high-impact priorities and that key decisions translate into effective action across the organisation.
• Operate as an extension of your executive, managing complex workflows, protecting their time, coordinating stakeholders, and enabling a clear, consistent operating rhythm.
• Require exceptional judgement, confidentiality, and the ability to anticipate needs before they surface.
• Partner closely with the executive and their teams to streamline processes, reduce friction, and ensure strategic priorities move forward with pace and clarity.
• Be a consistent source of structure, calm, and momentum behind the scenes, bringing a proactive, solutions-driven mindset to everything you do.
• Work with a high degree of autonomy, enabling strategic focus by transforming complexity into clear, actionable execution.

Data Engineer

• **The Role:**
• Our Data Engineering Team builds the core data systems that power frontier research across EIT. As an early member of our Data Engineering team, you’ll design and build the platforms used by scientists and engineers in fields such as healthcare, robotics, agriculture, and AI. You’ll work alongside our MLOps and Infrastructure teams to create reliable, scalable systems capable of handling large-scale (from TB to PB+), multimodal datasets.
• EIT is unique in combining foundational data from diverse disciplines into a single research ecosystem. You’ll help develop the technical foundation that makes this possible: platforms, services, APIs and distributed systems that are robust, observable and easy to work with. This is a role for engineers who think long-term and want to build a platform that will underpin the next generation of scientific and technological discovery.
• **Day-to-Day, You Might:**
• - Design and build distributed data systems that support research across EIT’s scientific domains.
• - Architect APIs and services for high-throughput, low-latency access to multimodal datasets.
• - Work with MLOps, Infrastructure and data engineers embedded within research teams to integrate systems into active research workflows.
• - Develop pipelines for large-scale text, audio, video, imaging, sensor, and structured data on OCI.
• - Add observability, monitoring, and automated quality checks to ensure the trustworthiness of every dataset.
• - Contribute to an engineering culture that values maintainability, testing, clear system design, and deep collaboration with our researchers and scientists.

Data Engineer – AI

Infrastructure Engineer

• Build, operate, and continuously optimise our high-performance GPU training and inference clusters, focusing on robust, high-availability scheduling, isolation, and automated lifecycle management.
• Drive systems design and implementation for high-throughput data paths, optimising I/O, caching, and data locality across compute and storage (including our current Lustre implementation).
• Proactively benchmark, profile, and resolve performance bottlenecks across the compute, network, and orchestration layers to maximise efficiency for distributed training and inference.
• Establish comprehensive observability, resilience, and automated security controls to ensure compliance and robust operation of sensitive research environments.
• Partner with Research, Data, and Applied teams to forecast capacity and cost for GPU and storage needs, setting quotas and streamlining ML experimentation pipelines.

Senior ML Infrastructure Engineer – AI

Platform Engineer

• **Day-to-day, you might:**
• - Architect, build, and operate our cloud platform, moving infrastructure beyond the initial setup to deliver resilient compute, network, and storage, including full-sized GPU clusters
• - Drive the implementation of highly structured, auditable delivery pipelines (CI/CD/GitOps) using to enforce automated, repeatable infrastructure changes
• - Design and deploy automated governance and security controls using Policy-as-Code (specifically Kyverno and YAML) to ensure strong isolation, protect data, and meet internal audit standards
• - Establish the foundational monitoring, alerting, and telemetry framework required for robust operations, defining clear SLOs, and setting the course for future SRE work
• - Partner with Research and Data teams to build self-service capabilities that efficiently support diverse workloads, from Python notebooks to distributed clusters