Oxford Nanopore Technologies

About the Company

Our goal is to enable the analysis of anything, anywhere, by anyone.

We have developed the world’s first and only nanopore DNA and RNA sequencing platform. It’s a new generation of sequencing technology — the only one to offer: scalability to portable or ultra-high throughput formats, real-time data delivery, and the ability to elucidate rich biological data.

We are aiming to disrupt the way that biological analyses are currently performed, and open up new applications that have a profound, positive impact on society.

Our devices offer real-time analysis, for rapid insights, in fully scalable formats — from pocket to population scale — and the technology is being used in more than 100 countries worldwide.

Founded in 2005 as a spin-out from the University of Oxford, the company now employs more than 600 people from multiple disciplines including nanopore science, molecular biology and applications, informatics, engineering, electronics, manufacturing and commercialisation. The management team, led by CEO Dr Gordon Sanghera, has a track record of delivering disruptive technologies to the market.

Listed Jobs

Company Name

Oxford Nanopore Technologies

Job Title

Machine Learning Intern

Job Description

**Job title:** Machine Learning Intern **Role Summary:** Support the Machine Learning team in developing and deploying models for DNA/RNA sequencing pipelines. Gain hands‑on experience with large bioinformatics datasets, design and benchmark ML algorithms, and contribute to improving sequencing accuracy, speed, and efficiency. **Expactations:** - Full‑time commitment for a minimum of 3 months. - Work independently and collaboratively within a cross‑functional team. - Deliver clear documentation of methodologies, experiments, and results. **Key Responsibilities:** - Design, develop, and test ML algorithms for signal processing, basecalling, or other data‑analysis tasks. - Pre‑process, label, and structure large sequencing datasets for model training and evaluation. - Conduct model evaluation, hyperparameter tuning, feature selection, and architecture experimentation. - Implement scalable, high‑throughput ML solutions and optimize performance for genomic sequencing. - Communicate findings and progress to engineers, scientists, and project stakeholders. - Keep abreast of latest research in deep learning, sequence modeling, and bioinformatics. **Required Skills:** - Strong foundation in machine learning and deep learning fundamentals. - Hands‑on experience with TensorFlow, PyTorch, or Keras. - Proficiency in Python and libraries such as NumPy, Pandas, and scikit‑learn. - Experience in data manipulation, preprocessing, and model training workflows. - Knowledge of signal processing or time‑series data (preferred). - Excellent problem‑solving skills and ability to work both independently and in teams. **Required Education & Certifications:** - Currently pursuing or recently completed a Master’s or PhD in Computer Science, Machine Learning, Computational Biology, or a closely related field. - No specific certifications required.

Oxford, United kingdom

On site

Fresher

06-01-2026

Company Name

Oxford Nanopore Technologies

Job Title

Software Engineer

Job Description

Job Title: Software Engineer Role Summary: Engineer cross‑functional operations software, building and enhancing Python and React applications, APIs, and cloud‑native infrastructure. Lead migration from VMware to AWS via Terraform and Kubernetes, applying IaC, CI/CD, and security practices. Maintain PostgreSQL, support production, and drive observability and process improvement. Expactations: - Deliver secure, scalable, and reliable systems on cloud platforms. - Automate deployment pipelines and Infrastructure as Code. - Provide second‑line production support and continuous improvement of monitoring. Key Responsibilities: - Develop and maintain Python/React web applications and API services, following coding standards and code review processes. - Contribute to GitLab merge requests and maintain clean, maintainable codebases. - Migrate applications from on‑prem VMware to AWS using Terraform, Kubernetes, and related tools. - Administer and optimize AWS services (RDS, S3, EFS, IAM, VPC) via Infrastructure as Code. - Apply platform security standards across development and deployment stages. - Manage PostgreSQL databases, enhancing resilience, security, and performance. - Provide second‑line support for production systems, resolving user issues promptly. - Improve observability with metrics, dashboards, and monitoring tools. - Document processes, tools, and best practices to elevate team delivery standards. Required Skills: - Proficiency in Python and React for web application development. - Experience with Docker, Kubernetes, and CI/CD automation (GitLab CI/CD). - Strong knowledge of AWS services (RDS, S3, EFS, IAM, VPC, networking, security groups). - Familiarity with Terraform for IaC. - Experience with relational databases, particularly PostgreSQL. - Knowledge of distributed task queues or HPC batch scheduling (e.g., Celery + Redis, GridEngine). - Exposure to workflow orchestration, preferably in a bioinformatics or data‑processing context. - Understanding of secure coding, platform security, and observability practices. Required Education & Certifications: - Bachelor’s degree in Computer Science, Software Engineering, or related field, or equivalent industry experience. - No specific certifications required; AWS certifications (e.g., AWS Certified Solutions Architect) are a plus.

Oxford, United kingdom

On site

13-01-2026