banbury, south east england, united kingdom Hybrid / WFH Options
Hlx Life Sciences
such as PyTorch, TensorFlow, or Scikit-learn. Familiarity with MLflow, Kubeflow, DVC, or similar MLOps tools . Understanding of cloud security principles , IAM, and networking best practices. Proficiency in Python and Bash scripting for automation and tooling development. Version control with Git , and collaborative development practices. Desirable Experience Exposure to bioinformatics or health data ecosystems (WGS, transcriptomics, clinical data). More ❯
Banbury, Oxfordshire, United Kingdom Hybrid / WFH Options
Cornwallis Elt Ltd
and infrastructure as code A good understanding of Agile delivery and CI/CD practices Experience building data pipelines with Airflow or Azure Data Factory Solid coding skills in Python, Spark, and SQL Great communication and problem-solving skills The ability to mentor, guide, and support other engineers More ❯
banbury, south east england, united kingdom Hybrid / WFH Options
SciPro
to product-focused work within 6 months You have: 2-3 years in systems/support roles AWS experience (EC2, S3, IAM) Linux fundamentals and basic scripting (Bash/Python) Troubleshooting skills for networking and deployments What's in it for you: Clear progression path into senior systems/platform engineering Work that directly impacts patient care in hospitals worldwide More ❯
banbury, south east england, united kingdom Hybrid / WFH Options
La Fosse
user-facing components of our scalable, high-performance data platform supporting their bioinformaticians and science teams. Key Requirements: JavaScript Experience in either React, Angular, or Vue.js. Experience in either Python, Node.JS or Next.JS HTML & CSS SQL Expertise in at least one cloud platform and its managed data services. Experience in Genomics/Life Sciences Nice to have: Kubernetes and/ More ❯
banbury, south east england, united kingdom Hybrid / WFH Options
La Fosse
for ground-breaking bioinformatics pipelines and data products. As a Senior Backend Engineer, you will develop the platform services that store and provide access to the data. Key Requirements: Python and/or Node.JS SQL GraphQL Expertise in at least one cloud platform and its managed data services. Experience building APIs Experience in Genomics/Life Sciences Nice to have More ❯
banbury, south east england, united kingdom Hybrid / WFH Options
TECHNE
across varied use cases and markets. Key Skills & Experience Strong experience interfacing directly with customers. Background in data science , including statistical modelling, machine learning, or applied analytics. Proficiency in Python for data analysis, modelling, and cloud application development. Exposure to automotive systems, electrification, or battery applications . Additional knowledge of electrochemistry, power systems, energy storage, physics, or chemical engineering is More ❯
banbury, south east england, united kingdom Hybrid / WFH Options
IC Resources
ASIC design and verification, including: Defining functional requirements for verification environments & metrics SystemVerilog UVM testbenches Formal proof verification Understanding of C test cases and C code Scripting languages (e.g. Python, Perl, TCL) Desirable skills Experience with formal verification tools (JasperGold, VC Formal) Familiarity with C/C++ development Prior SSD experience with storage interfaces such as SAS or PCIe (NVMe More ❯
banbury, south east england, united kingdom Hybrid / WFH Options
Understanding Recruitment
Role: Python Software Engineer Salary: up to £80k + Bonus + Excellent Benefits Location: Oxford (Hybrid, very flexible) We’re hiring on behalf of a global biotech innovator developing groundbreaking technology that enables real-time biological analysis at scale. This is your opportunity to work at the intersection of science and software , building the systems behind next-generation sequencing and … deliver cutting-edge tools for researchers and scientists around the world. What You’ll Do Design, build and maintain data-intensive web applications and APIs Develop scalable systems using Python (Django, FastAPI, Flask) Deploy and manage applications across on-premise and cloud environments Implement CI/CD, automated testing, and containerisation best practices Collaborate closely with R&D, operations, and … scientific teams to ensure reliability and performance You’ll Succeed If You Have Strong, production-level experience with Python A background in building web apps, APIs, or workflow engines Hands-on experience with Docker , CI/CD pipelines , and cloud-native environments Knowledge of databases (SQL, MongoDB) and data pipelines Familiarity with Kubernetes , Terraform , or related orchestration tools What’s More ❯