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Led by a world class faculty of scientists, technologists, policy makers, economists and entrepreneurs, the Ellison Institute of Technology aims to develop and deploy commercially sustainable solutions to solve some of humanity's most enduring challenges. Our work is guided by four Humane Endeavours: Health, Medical Science & Generative Biology, Food Security & Sustainable Agriculture, Climate Change & Managing Atmospheric CO2 and Artificial Intelligence & Robotics. Set for completion in 2027, the EIT Campus in Littlemore will include more than 300,000 sq ft of research laboratories, educational and gathering spaces. Fuelled by growing ambition and the strength of Oxford's science ecosystem, EIT is now expanding its footprint to a 2 million sq ft Campus across the western part of The Oxford Science Park. Designed by Foster + Partners led by Lord Norman Foster, this will become a transformative workplace for up to 7,000 people, with autonomous laboratories, purpose built laboratories including a plant sciences building and dynamic spaces to spark interdisciplinary collaboration. The Pathogen Mission highlights EIT's transformative approach, using Whole Genome Sequencing (WGS) and Oracle's cloud technology to create a global pathogen metagenomics system. This initiative aims to improve diagnostics, provide early epidemic warnings, and guide treatments by profiling antimicrobial resistance. The goal is to deliver certified diagnostic tools for widespread use in labs, hospitals, and public health. EIT Oxford fosters a culture of collaboration, innovation, and resilience, valuing diverse expertise to drive sustainable solutions to humanity's enduring challenges. We are seeking to recruit a Full Stack Software Engineer to help design, build, and maintain user facing components of our scalable, high performance data platform supporting our bio informaticians and science teams. You'll collaborate closely as part of a cross functional team working with architects, platform and data engineers to deliver platform tools to help manage the full data lifecycle in the platform, monitor sequencing device telemetry and provide the tooling our science teams need to discover and use the data. Key Responsibilities Design, develop, and support web applications deployed to support the data platform. Own the full stack development for tools that support data management across the full lifecycle, including ingest monitoring, curation, managing releases, monitoring data quality, and user access control management. Build and support components to help manage ingest from and monitor distributed next generation sequencing devices, including device telemetry (Kafka, MQTT streaming from Oxford Nanopore NGS devices). Design, develop, and maintain platform tools to support our bioinformaticians and science teams in discovering, understanding, and accessing data (Pathogen data catalogue, Quality dashboards, Management information reporting). Support innovation efforts to explore the application of new technologies such as vector databases to support search and AI use cases. Design, develop, and maintain highly performant, scalable, and secure backend APIs using appropriate technologies to support the full stack platform tools (Python, NodeJS). Implement and manage data storage solutions, including data lakes, data warehouses, and databases that underpin the platform tooling (e.g., object storage, Oracle Autonomous Database, PostgreSQL). Work with backend engineers to ensure data services and associated APIs meet the needs of the platform tools. Collaborate with product managers to capture requirements, wireframe solutions, and design the user experience. Work with big data technologies such as Kafka, Iceberg, and Parquet, and managed database technologies such as PostgreSQL and Oracle vector databases. Ensure applications are secure. Operate, monitor, and maintain the associated Oracle Cloud infrastructure to ensure the platform tools are highly available, scalable, and secure. Work with DevSecOps engineers to ensure that all deployments are automated and adopt best practice CI/CD. Ensure solutions are documented and assured through defined architecture governance processes. Implement monitoring, logging, and alerting systems to maintain the health and performance of the data platform. Essential Knowledge, Skills and Experience Proven experience as a full stack engineer. Proficiency in HTML, CSS, JavaScript, and front end frameworks such as React, Angular, Vue.js. Experience with backend languages and frameworks such as Python/NodeJS and frameworks like Next.js, Django, Spring Boot, etc. Expertise with at least one cloud platform and its related managed services. Knowledge of database systems, both relational (SQL) and NoSQL. Skills in UX design (Figma). Knowledge of containerization using Kubernetes and Docker. Experience working with streaming technologies (Kafka). Proven experience developing scalable architectures using both containerization and serverless approaches (Oracle Functions or AWS Lambda). Familiarity with version management and best practices (Git). Experience managing teams and developing a high performance, collaborative culture. Understanding of Agile working practices and sprint based methodology. Ability to actively contribute to knowledge sharing. Knowledge of security best practices. Desirable Knowledge, Skills and Experience Experience with Oracle Cloud (OCI). Experience with Jira, Confluence, or similar project management tools. Experience working with scientific analytical, statistical, and visualization libraries. Key Attributes Collaboration. Willingness to learn and cross train/upskill in new technology. Willingness to be hands on to explore new technology or develop POCs. Strong problem solving and analytical skills, with the ability to think critically about security challenges. Excellent communication and teamwork abilities, particularly in cross functional teams. Ability to manage multiple tasks and meet deadlines in a fast paced, dynamic environment. Attention to detail and a strong commitment to security and quality assurance. Flexibility to adapt and contribute to a rapidly scaling organization. We offer the following benefits: Enhanced holiday pay Pension Life Assurance Income Protection Private Medical Insurance Hospital Cash Plan Therapy Services Perk Box Electrical Car Scheme Why work for EIT: At the Ellison Institute, we believe a collaborative, inclusive team is key to our success. We are building a supportive environment where creative risks are encouraged, and everyone feels heard. Valuing emotional intelligence, empathy, respect, and resilience, we encourage people to be curious and to have a shared commitment to excellence. Join us and make an impact! Terms of Appointment: You must have the right to work permanently in the UK with a willingness to travel as necessary. You will live in, or within easy commuting distance of, Oxford. During peak periods, some longer hours may be required and some working across multiple time zones due to the global nature of the programme.

About Apoha At Apoha, we are building the Liquid Brain - a programmable physical sensing platform creating rich, multidimensional fingerprints of materials to unlock faster and smarter material design. Our mission is to redefine how materials are sensed, understood, and designed across industries. Why Join Us? We're Apoha, the team behind the Liquid Brain . We're pioneering Sensory Intelligence by decoding molecular behaviour. The first step in our journey to giving machines the senses they never had? Building a Liquid Brain platform capable of improving life saving drugs, by assessing the developability of antibodies earlier (those proteins our immune system makes to fight off bacteria and viruses). We're a group of scientists, engineers, and operators who've built and launched successful products at Goldman Sachs, Apple, Amazon, and published 50+ high impact research papers across biophysics, materials science, and thermodynamics-and been featured by Scientific American as one of "13 Discoveries That Could Change Everything". At Apoha, science isn't just the foundation of our product-it's woven into our every day. Whether it's a journal club over coffee, a spirited scientific discussion unravelling a complex problem, or a full company Quarter Demo Day that sparks wild new ideas, we've built a place where academic rigor meets startup energy. Our team is small, flat, and talent dense across disciplines. We gravitate towards people who are collaborative, curious, and take pride in owning their work end to end. We enjoy spirited debate, thinking way beyond the state of the art, and building products that could change how we understand biological materials-forever. We believe in the power of on site collaboration, and our UK based team works together in our London office to foster creativity, speed, and connection. Our investors include Redalpine, Acequia Capital, Seedcamp, Nucleus Capital, Plug and Play, Wilbe and others-and we're just getting started. What We Offer Competitive compensation + stock options Private health insurance Bi weekly team lunches + regular socials The rare chance to shape the DNA of a company Access to cutting edge science, a stellar team, and the chance to change the game At Apoha, we are committed to fostering a diverse and inclusive workplace. We strongly encourage applications from candidates of all backgrounds, including those from underrepresented groups in tech and science. The Role At Apoha, software engineering isn't just about writing code - it's about creating the foundation for a breakthrough technology to thrive. As an engineer here, you'll help shape how the world's top scientists and researchers interact with the Liquid Brain . We're looking for a Full Stack Engineer who thrives on autonomy, ownership, and creative problem solving. This role is ideal for someone who wants to help define the architecture, culture, and best practices of a growing team - someone who's just as excited by writing clean, scalable code as they are by collaborating with scientists to bring a fundamentally new technology to life. What you'll do Own and evolve major parts of our software and hardware control stack - from architecture to implementation-ensuring reliability, performance, ease of use, and seamless operation of our Liquid Brain system. Design and build user interfaces and backend services (Next.js, Django, Postgres) that make interacting with complex hardware systems and multimodal data analysis tasks simple, intuitive, and robust. Work hands on with our hardware, using real devices to test, validate, and refine control workflows, automation logic, and system integrations. Root cause and resolve issues across the entire stack, from hardware drivers to APIs, task management, data analysis pipeline and more. Collaborate closely with hardware, scientific, and data teams to translate experimental workflows and engineering constraints into high quality product features. Help shape the engineering culture by pushing for clarity, simplicity, and technical rigor as we scale the platform. What We're Looking For Experience building software that interacts with hardware-instrument control, robotics, automation systems, lab devices, edge devices, or similar. A strong full stack engineering foundation (front end + back end + APIs + databases), with the ability to ship features end to end. Strong sense of agency, resourcefulness, and ownership is absolutely essential - you care deeply about both the what and the how. Proven experience in at least a few of the following areas - designing scalable services, cloud infrastructure, API design and implementation, database design, and front end frameworks. Curiosity for scientific workflows, new technologies, and solving problems at the intersection of software and physical systems. Bonus: exposure to Python, Django, PostgreSQL, AWS, Kubernetes and/or containerized deployments, NextJS, React - but we care more about your mindset than the exact tech stack you have previously worked on. How To Apply - Show Us What You've Got We've designed an interactive challenge to kick off the application. To get started, apply via the form & send an empty POST request to this endpoint - api/v2/external-tests/hello-apoha at the URL - We will get back to you to schedule the first technical interview with our team shortly after reviewing your submission! In case of any questions please reach out to .

The Mission At FLOX, we believe smarter farms lead to thriving chickens and healthier lives. Our mission is simple: healthier chickens benefit everyone. That's why we built FLOX360, a system that uses Computer Vision, smart sensors, and real-time insights to transform poultry farming. By helping farmers improve welfare and efficiency, FLOX360 creates a win win for birds, farmers, the environment, and people everywhere. Today, we're watching 60 million chickens a year. We believe we are setting the standard for animal welfare and smart farming - and we're just getting started. The People We're a diverse team of engineers and entrepreneurs, representing over 13 nationalities and all walks of life - even a few vegetarians! We are brought together by a shared passion for meaningful impact. Our culture is grounded in values we live every day: Empathetic Artisan - We approach our work with care, artistry, and genuine empathy for each other and our users. We lead with positivity and passion. Tenacious Innovator - Innovation drives us. We trust ourselves, keep learning, and uncover bold solutions that redefine what's possible in poultry farming. Hand in Glove - One mission, one team. We grow together with patience, trust, and transparency, amplifying each other's strengths to revolutionise farming. ️ Worth Building - Worth celebrating. We dedicate ourselves to work that matters, taking pride in creating disruptive solutions our users can't live without. This is an exciting moment of growth for FLOX - and we're looking for ambitious, humble, and purpose driven people to join us in building a future of smarter farms, thriving chickens, and healthier lives. The role We are currently seeking a Senior Data & Platform Engineer to work directly under our Engineering Director in our office in London. We're a Series A ready start up with plenty of room for progression and making direct impact for our customers. This high impact role demands "best in class" data engineering and MLOps skills to build, maintain, and deploy the production grade commercial applications that power our AI and analytics platform. The ideal candidate will have experience navigating complex data challenges in analytics heavy industries like AgTech or HealthTech and is motivated to revolutionise the poultry sector through data science and robust platform architecture. Our product vision is to empower our customers with autonomous intelligence at speed and scale. This role is a key part of achieving this vision to convert data into actionable intelligence. Key Responsibilities: Engineering Excellence & Transformational Value: Drive engineering excellence by architecting robust, scalable data platforms that deliver measurable, transformational value to product outcomes in the AgTech space. Production Grade Application Deployment: Build, maintain, and deploy production grade commercial applications and data services that are highly available, reliable, and performant. Best in Class Data Engineering: Design and optimise sophisticated batch and streaming data pipelines within the Snowflake or similar Data Cloud, ensuring data integrity, quality, and accessibility for analytics and machine learning applications. MLOps Implementation & Application Engineering: Collaborate directly with machine learning engineers and production application engineers to integrate open source MLOps pipelines (CI/CD for ML) and deploy models seamlessly into production environments using specialised tools like MLflow, DVC and Feast. Advanced Data Modelling (Ontology & Knowledge Graphs): Lead the design and implementation of data ontologies and knowledge graphs using graph databases (e.g. Neo4j, Neptune) to model complex biological and operational data relationships for sophisticated AI insights. Data Platform Expertise & Optimisation: Lead our data engineering efforts on data platforms such as Snowflake, Data bricks or similar focusing on data modelling, and analytics workflows to deliver actionable intelligence to customers. Tech Stack Data Data sources: PTZ Cameras, IoT sensors, customer derived data sets Terabyte scale data on edge and cloud On prem, cloud and edge compute DevOps / MLOps / Software Development Python and FastAPI Kafka, MySQL, MongoDB, PostgreSQL Docker; Kubernetes networking and service mesh; RKE2 RTMP, WebRTC, HLS, MPEG DASH Prometheus, Grafana, Alertmanager, Thanos; ELK; Jaeger; custom exporters Jenkins, GitLab, Sonatype Nexus, Terraform, Ansible, Argo CD AWS (primary), with GCP/Azure exposure DVC, MLFlow, Airflow, Dagster, CVAT, Weights & Biases; data lakes/warehouse We would love to meet you if you have all or some of these requirements: 5+ years of experience in data platform engineering roles within analytics heavy, fast paced tech/product companies. Experience in AgTech, Healthtech, or Biotechnology is highly preferred, demonstrating a clear understanding of applied data challenges in complex domains. Proven track record of working effectively within integrated product teams composed of ML Engineers, Data Scientists, Platform Engineers, and Application Engineers. Deep expertise in Snowflake or similar architecture and management. Hands on experience in knowledge modelling, ontology design (using RDF, OWL, or similar), and managing graph databases (e.g. Neo4j). Strong experience with MLOps frameworks like MLflow, DVC, Feast and data orchestration tools is required. A willingness to go above and beyond, bringing a highly proactive, product focused mindset aimed at delivering engineering excellence and tangible business transformation. Prior experience in a start up or scale up environment is essential. Ability to navigate ambiguous and uncertain scenarios to make key decisions. Excellent cross functional communication skills - comfortable working across technical and operational teams. Able to travel to our E8 London HQ approximately twice per week. Desirable Experience with multimodal data engineering and building customer facing data products. What we can offer you: Up to £90k p.a. depending on experience and location Hybrid working, in the office twice a week with flexibility Inclusive and relaxed company culture: we welcome everyone, we encourage you to be yourself and dress as you like Lunch and snacks provided Exposure to state of the art technologies A talented and international work environment Travel within the UK & potentially into the US and LATAM A chance to work with well respected experts, including AI and robotics Hiring timeline We're accepting applications now but interviews will start in January 2026. If you apply in December, please don't worry if you don't hear from us immediately - we'll be in touch once we begin the interview process in the new year. We are committed to equality of opportunity for all staff and applications from all individuals are encouraged regardless of age, socioeconomic background, disability, sex, gender reassign, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships.

About Flow Flow is massively accelerating the development of next-generation hardware systems. We're on a mission to reinvent the way humanity develops its most important machines. We're backed by Sequoia Capital with angel investors including Patrick & John Collison (Stripe), David Helgason (Unity) and Kyle Parrish (Figma). Flow is the default requirements tool for complex systems engineering used by next gen space, defense, automotive and robotics companies. When humanity returns to the Moon, builds fusion power, or lands the first interplanetary colony - Flow will have played a vital role. ️ What You'll Do You'll help build features that tackle some of the world's toughest hardware engineering problems - and depending on your experience, you'll take on increasing ownership and leadership responsibilities as we scale. Own understanding problems: work with customers, customer success and sales to clearly define customer problems. Own designing solutions: contribute to solution design by identifying simpler, better solutions. Build MVPs & iterate quickly: build features, gather feedback and iteratively improve features that solve our customer problems. Fix customer issues: jump on calls with users to troubleshoot and deploy feature improvements within hours. If you're more experienced (4+ years): Lead from the front: hire, mentor and manage best-in-class talent. Develop deep expertise and ownership in an area that drives Flow forward: such as, distributed systems, product design or performance. About You Builder at heart: You have 2+ years of experience as a software engineer (we'll level appropriately based on experience). Problem solver: A track record of sucessfully solving real human problems. High Agency: driven to solve the most important problems even if no one has told you to Iterative Development: experience in shipping MVP solutions, gathering feedback and improving solutions to solve user pain faster. Strong technical skills: adept at JavaScript and React, including performance implications in browsers. Strong communicator: clear, concise and direct. ️ Our Tech Stack Backend: Golang Frontend: TypeScript / React / Next.js Infrastructure: Terraform, AWS Containerization: Docker Database: PostgreSQL APIs: GraphQL (Hasura, Apollo) Leveling We're hiring across multiple levels. If you're earlier in your career, you'll build and ship core features with guidance. If you're more experienced, you'll take ownership of entire product areas, lead by example, and help shape the future of Flow's engineering culture. Learn About How We Think How to Build an MVP - Michael Seibel Code-first vs Product-first - Zach Lloyd Simple Made Easy - Rich Hickey (Watch the first 25 mins) ️ What We Value Speed over everything. If you go over a pothole at 20 mph, you really feel it. If you go over at 200 mph, you barely feel it. Everything we do, we need to do with urgency. This is our superpower and why we win. This is a discipline that requires effort and focus every day. Own, Downscope, ship, iterate: We work in small, fast cycles. Our philosophy is to downscope and ship. The goal is to get a v1 out today and learn from seeing it used. We work with users not at them. Execution is the sole currency by which our customers value us. This does not always mean success at the first iteration, but we must be fully committed to delivering. Fundamentals done well: Most success comes from mastering the basics. The trade off is always scope, never quality. This is why we prioritize simplicity. Doing so requires extreme clarity of thought: a talent for cutting to the essence of a problem, communicating it well and then solving it. Disagree and Commit: To move fast, we have to decide fast. That means debating ideas hard, then committing fully once a decision is made. Enjoy the climb: Climbing Everest is hard. The air thins, your body falters, and you pass those who didn't make it. But we're here to keep climbing. This is the work that will define us. Enjoy the climb. The view at the top only means something if you loved the journey getting there.