DevOps Engineer

Baseimmune
Bristol
4 weeks ago
Applications closed

Related Jobs

View all jobs

Devops Engineer - Perm (FTC) - Hybrid

Data Engineer

Bioinformatic Software Engineer

Principal Data Scientist

AWS Backend Engineer (Inside IR35)

Data Engineer

Role: DevOps Engineer


Keywords: devops, software development, python, vaccines


Team:Computational Engineering Team

Start date:Immediate

Period:Full time, permanent

Location:Baseimmune, APEX, 6 St. Pancras way, London (Hybrid or Fully Remote – UK only)

Closing Date:29 April 11am (GMT)


About us

Baseimmune is a discovery stage biotechnology start-up focused on revolutionising vaccine development through advanced computational antigen design. Founded by the team that pioneered computational vaccines at the Jenner Institute University of Oxford, our mission is to harness the fields of data science, machine learning and computational biology within a multi-disciplinary team to redefine cross-protective and mutation-proof vaccines.


Position Overview

We are seeking a highly motivated and skilledDevOps Engineerto join an interdisciplinary team located at APEX in King’s Cross, London.This is a full-time rolewith the opportunity for fully remote or hybrid working style. The engineering team expects to have in-person workshops in London at least 4 times per year.


For this role, we are looking for a skilled DevOps Engineer to build and optimize our on-site, co-located and hybrid cloud infrastructure, ensuring seamless integration between our AI-driven research, high-performance computing, and laboratory workflows. You will work closely with our software engineers, bioinformaticians and data scientists to enable scalable, secure, and efficient development and scientific processes. You should have experience in scaling services and infrastructure as either a solo effort or with a small team.


As the new member of a growing Engineering Team you will have the opportunity to contribute and develop core software and tooling that enables the creation of novel computationally designed vaccines.


Key Responsibilities

  • Maintain and manage company owned hardware / software systems.
  • Develop automation to support streamline software development (e.g., CI/CD and configuration management).
  • Design, develop, and deploy new computational tools and processes to support various aspects of our biotech research and development projects.
  • Monitor system performance and troubleshoot issues.
  • Support and develop big data workflows.
  • Support our growing Computational Sciences Team as a key member of a fast-moving biotech startup.


Required Qualifications and Skills

  • 2-5 years of experience in DevOps with a preference for Bioinformatics environments or similar big data research disciplines.
  • Proficient with the Linux/Unix environment, tooling and user account administration.
  • Proficient with Git and Git platforms (e.g., GitLab / GitHub) and CI/CD automation.
  • Proven self-starter with keen problem-solving skills and the ability to work independently as well as part of a team.
  • Experience in developing with Python and knowledge of Python development and ecosystem (e.g., pip, Poetry, uv, etc.)


Desired Qualifications and Skills

  • Familiarity with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and related services/tools.


Soft Skills

  • You are open and highly flexible in dealing with rapidly evolving tasks and demands and see them as an opportunity to proactively shape our processes.
  • Team-oriented personality, able to build strong relationships in a diverse environment, work effectively as part of a collaborative team, but also execute tasks independently when needed.
  • Inclusive, collaborative, and thrives in a team environment with a flexible approach to working and the ability to work in a fast-paced environment, across different projects and areas.
  • Effective communication skills with the confidence and judgement to challenge appropriately.
  • Analytical and ambitious personality, able to proactively apply knowledge, structured problem-solving skills, and creative thinking in driving the project forwards and helping others.


What we Offer

  • Competitive starting salary
  • Central London location for lab and office; this role can be either fully remote or a hybrid regimen
  • Private medical health insurance
  • Opportunities for career growth and professional development
  • 26 days holiday leave + bank holidays
  • Enhanced sick pay
  • Family friendly policies, including enhanced maternity, paternity and adoption leave
  • Pension plan


Please note that Baseimmune does not provide visa sponsorship for this position. Applicants must be eligible to work in the UK without requiring employer sponsorship. We encourage all eligible candidates to apply and regret that we are unable to consider candidates who require visa sponsorship currently.


We are an equal opportunity employer and value diversity and inclusion in our workplace.


Privacy statement – readhereabout how we collect and use your data.

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Portfolio Projects That Get You Hired for Machine Learning Jobs (With Real GitHub Examples)

In today’s data-driven landscape, the field of machine learning (ML) is one of the most sought-after career paths. From startups to multinational enterprises, organisations are on the lookout for professionals who can develop and deploy ML models that drive impactful decisions. Whether you’re an aspiring data scientist, a seasoned researcher, or a machine learning engineer, one element can truly make your CV shine: a compelling portfolio. While your CV and cover letter detail your educational background and professional experiences, a portfolio reveals your practical know-how. The code you share, the projects you build, and your problem-solving process all help prospective employers ascertain if you’re the right fit for their team. But what kinds of portfolio projects stand out, and how can you showcase them effectively? This article provides the answers. We’ll look at: Why a machine learning portfolio is critical for impressing recruiters. How to select appropriate ML projects for your target roles. Inspirational GitHub examples that exemplify strong project structure and presentation. Tangible project ideas you can start immediately, from predictive modelling to computer vision. Best practices for showcasing your work on GitHub, personal websites, and beyond. Finally, we’ll share how you can leverage these projects to unlock opportunities—plus a handy link to upload your CV on Machine Learning Jobs when you’re ready to apply. Get ready to build a portfolio that underscores your skill set and positions you for the ML role you’ve been dreaming of!

Machine Learning Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Machine learning is fuelling innovation across every industry, from healthcare to retail to financial services. As organisations look to harness large datasets and predictive algorithms to gain competitive advantages, the demand for skilled ML professionals continues to soar. Whether you’re aiming for a machine learning engineer role or a research scientist position, strong interview performance can open doors to dynamic projects and fulfilling careers. However, machine learning interviews differ from standard software engineering ones. Beyond coding proficiency, you’ll be tested on algorithms, mathematics, data manipulation, and applied problem-solving skills. Employers also expect you to discuss how to deploy models in production and maintain them effectively—touching on MLOps or advanced system design for scaling model inferences. In this guide, we’ve compiled 30 real coding & system‑design questions you might face in a machine learning job interview. From linear regression to distributed training strategies, these questions aim to test your depth of knowledge and practical know‑how. And if you’re ready to find your next ML opportunity in the UK, head to www.machinelearningjobs.co.uk—a prime location for the latest machine learning vacancies. Let’s dive in and gear up for success in your forthcoming interviews.

Negotiating Your Machine Learning Job Offer: Equity, Bonuses & Perks Explained

How to Secure a Compensation Package That Matches Your Technical Mastery and Strategic Influence in the UK’s ML Landscape Machine learning (ML) has rapidly shifted from an emerging discipline to a mission-critical function in modern enterprises. From optimising e-commerce recommendations to powering autonomous vehicles and driving innovation in healthcare, ML experts hold the keys to transformative outcomes. As a mid‑senior professional in this field, you’re not only crafting sophisticated algorithms; you’re often guiding strategic decisions about data pipelines, model deployment, and product direction. With such a powerful impact on business results, companies across the UK are going beyond standard salary structures to attract top ML talent. Negotiating a compensation package that truly reflects your value means looking beyond the numbers on your monthly payslip. In addition to a competitive base salary, you could be securing equity, performance-based bonuses, and perks that support your ongoing research, development, and growth. However, many mid‑senior ML professionals leave these additional benefits on the table—either because they’re unsure how to negotiate them or they simply underestimate their long-term worth. This guide explores every critical aspect of negotiating a machine learning job offer. Whether you’re joining an AI-focused start-up or a major tech player expanding its ML capabilities, understanding equity structures, bonus schemes, and strategic perks will help you lock in a package that matches your technical expertise and strategic influence. Let’s dive in.