National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Platform Software Engineer

Biographica
London
1 month ago
Create job alert

About us

🌽 Safeguarding the future of food

Biographica is on a mission to accelerate the development of more productive, sustainable, nutritious & climate-resilient food sources. To achieve this, we're building the world’s first ML-driven target discovery platform for crop gene-editing.

🧬 From drug target discovery to crop target discovery

While gene-editing of crops is becoming ever more efficient, identifying which genes to edit and how remains a significant challenge. To overcome this bottleneck, we use cutting-edge deep learning to accurately and efficiently identify high value genetic targets for crop gene-editing. Our approach draws inspiration from recent advancements in the drug discovery space, incorporating LLMs, transformers and graph-based technologies to build a best-in-class discovery platform for plant sciences.

👥 Team

Led by co-founders Dom (CTO) and Cecy (CEO), we are now a team of 12, including 2 ML engineers, 2 data engineers, 3 bioinformaticians. We also have a remote, part-time intern conducting ML research. We primarily work together in person from our office in Spitalfields, London, 4 days per week.

What we're looking for

As our first dedicated software engineering hire, you will play a pivotal role in ensuring that our scientists, ML engineers, and data engineers can work efficiently and at scale. You will take ownership of our target identification software tool, ensuring it is fully tested, scalable and seamlessly connected with other elements of our platform. To do this you will work closely with the science and data teams to ensure that the tool is maximally useful for answering scientific questions and maximally flexible and modular to accommodate future improvements. Additionally, there is potential to explore novel technologies, such as agentic LLMs, to enhance multiple internal scientific tools being developed at Biographica.

Important note:We are looking for candidates with experience in biology even if it isn’t in a research capacity. This job will involve continual work at the interface of software and biology so it’s important that any candidate has background knowledge, the desire to learn more about the intricacies of the subject and the willingness to integrate biological considerations into their software decision making.


Core Responsibilities

  • Lead the software development of our target identification tool, ensuring it is robustly tested, scalable, and well-integrated with the broader platform.
  • Work closely with science, ML, and data engineering teams to understand their product needs and translate these into functional software.
  • Architect the tool with modularity and future enhancements in mind, ensuring it can handle evolving scientific and computational requirements.

Additional Responsibilities

  • Evaluate and potentially integrate emerging technologies, such as agentic LLMs, to enhance internal tools and workflows.
  • Develop integrations with other internal tools, with a particularfocus on seamless flow of data.
  • Identify opportunities for process and tech improvements that benefit the wider scientific team.
  • Collaborate on ad-hoc projects and support various engineering efforts as needed.


Core Competencies

  • Strong proficiency in Python and a deep understanding of backend development principles.
  • Exposure to and experience using at least one application development framework, with an emphasis on creating internal tools rather than consumer-facing products.
  • Some experience or familiarity with biology, even if it isn’t in a research capacity, and a willingness to learn more about the field.
  • Excellent communication skills and a proven ability to work effectively across diverse technical teams.
  • A pragmatic approach to troubleshooting and resolving technical challenges in a fast-paced environment.

Nice to have Competencies

  • Experience with AWS services and familiarity with Kubernetes environments (GCP exposure is a plus).
  • Interest in emerging technologies and a proactive attitude toward exploring tools like agentic LLMs.

Benefits

  • Competitive salary & equity options
  • 25 days annual leave & option for 2 weeks work from anywhere policy
  • Benefits package
  • Career development opportunities as the company scales
  • Ownership of ambitious, mission-driven work with real-world impact
  • Vibrant, innovative & supportive work environment with a committed team
  • Access to conferences, events & professional development resources

Related Jobs

View all jobs

Senior Software Engineer - Machine Learning

Software Engineer

Artificial Intelligence Engineer - Agentic bioimage data platform

Machine Learning Engineer - London

Junior Machine Learning Engineer - AI startup

Machine Learning Engineer

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

Return-to-Work Pathways: Relaunch Your AI Career with Returnships, Flexible & Hybrid Roles

Stepping back into the workplace after a career break can feel like embarking on a whole new journey—especially in a cutting-edge field such as artificial intelligence (AI). For parents and carers, the challenge isn’t just refreshing your technical know-how but also securing a role that respects your family commitments. Fortunately, the UK’s tech sector now boasts a wealth of return-to-work programmes—from formal returnships to flexible and hybrid opportunities. These pathways are designed to bridge the gap, equipping you with refreshed skills, confidence and a supportive network. In this comprehensive guide, you’ll discover how to: Understand the booming demand for AI talent in the UK Leverage transferable skills honed during your break Overcome common re-entry challenges Build your AI skillset with targeted training Tap into returnship and re-entry programmes Find flexible, hybrid and full-time AI roles that suit your lifestyle Balance professional growth with caring responsibilities Master applications, interviews and networking Whether you’re returning after maternity leave, eldercare duties or another life chapter, this article will equip you with practical steps, resources and insider tips.

LinkedIn Profile Checklist for AI Jobs: 10 Tweaks That Triple Recruiter Views

In today’s fiercely competitive AI job market, simply having a LinkedIn profile isn’t enough. Recruiters and hiring managers routinely scout for top talent in machine learning, data science, natural language processing, computer vision and beyond—sometimes before roles are even posted. With hundreds of applicants vying for each role, you need a profile that’s optimised for search, speaks directly to AI-specific skills, and showcases measurable impact. By following this step-by-step LinkedIn for AI jobs checklist, you’ll make ten strategic tweaks that can triple recruiter views and position you as a leading AI professional. Whether you’re a fresh graduate aiming for your first AI position or a seasoned expert targeting a senior role, these actionable changes will ensure your profile stands out in feeds, search results and recruiter queues. Let’s dive in.

Part-Time Study Routes That Lead to AI Jobs: Evening Courses, Bootcamps & Online Masters

Artificial intelligence (AI) is reshaping industries at an unprecedented pace. From automating mundane tasks in finance to driving innovation in healthcare diagnostics, the demand for AI-skilled professionals is skyrocketing. In the United Kingdom alone, AI is forecast to deliver over £400 billion to the economy by 2030 and generate millions of new jobs across sectors. Yet, for many ambitious professionals, taking time away from work to upskill can feel like an impossible ask. Thankfully, part-time learning options have proliferated: evening courses, intensive bootcamps and flexible online master’s programmes empower you to learn AI while working. This comprehensive guide explores every route—from short tasters to deep-dive MScs—showcasing providers, course formats, funding options and practical tips. Whether you’re a career changer, a busy manager or a self-taught developer keen to go further, you’ll discover a pathway to fit your schedule, budget and goals.