Senior Backend Engineer

BactoBio
London
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Engineer

Senior Machine Learning Engineer - Research

Senior Data Scientist

Senior Data Engineer

Senior Data Engineer (AWS, Airflow, Python)

Senior Data Engineer (Microsoft Fabric)

Job Description

Software is critical to our scientific endeavours. You’ll join the growing software team that builds and enhances the application and infrastructure used by our scientists to accelerate their search for novel compounds.

The application gives the lab scientists a holistic view of the scientific pipeline, ensuring that data is captured, processed and visualized in a way that optimises the flow of scientific samples from team to team.

What you will do

You will work closely with dozens of world-class lab scientists, bioinformaticians, data scientists, and robot automation engineers, turning their requirements for research functionality into user-friendly features.

Lead and collaborate with our team to deliver reliable, tested, typed, clean Python code to improve our application and model our scientific domain in code

You will be working alongside subject-matter experts including bioinformaticians and data scientists to ensure that our backend aligns with business priorities

Optimising the infrastructure that we run our application & scientific pipelines on

You will advise on current trends and best practices in backend architecture (performance, accessibility, security and usability), giving input on the architecture of new and existing projects

Our stack is Python 3, SQLAlchemy, FastAPI, RQ, MySQL with a frontend in Remix, React, TypeScript, CSS Modules with OpenAPI-based API client generation for TypeScript.

We emphasize code quality, employing reviews on top of static analysis tools (pyright, ruff, ruff format) with plenty of tests in place to maintain a high-quality codebase.

Benefits

Competitive starting salary The chance to be part of a fun, multicultural, kind, and ambitious crowd that are impact-driven Daily access to academic leaders, business leaders, and unicorn founders Brand new, modern labs in Central London with dedicated office space, large balconies and 360’ views of the London skyline 25 days holiday + bank holidays Enhanced Sick Pay Flexible start and finish times within the company’s core hours to fit your preferences (within core hours 10am -4pm) Diverse team of colleagues (check out our website to meet us) Weekly team activities including board games, sports activities, and socials on Fridays Complimentary snacks, fruits, tea, coffee, soft drinks,... Access to 1000s of training courses through Udemy, with an allowance for both personal development and work-related training Bike2Work scheme Employee Assistance Programme offering structured counselling, life and career coaching, legal and financial advise

Restrictions

No telecommutingNo Agencies Please

Requirements

We would love you to have experience with some of the tools we use, but it's not a requirement. Instead, we're eager for you to desire to learn and develop yourself. So, at a minimum, we would be looking for you to demonstrate proven experience working in a modern tech stack using Python and, ideally, SQLAlchemy or Django.

If you are passionate about delivering code, and you love solving complex problems and working in a team with a strong sense of mission is something you crave, then we would love to talk to you.

About the Company

Bactobio is a London-based biotechnology company.We were founded in 2020 and have raised over £6m todate. We use breakthrough technologies in synthetic biology, next-generation sequencing, and machine learning to cultivate the 99% of previously unculturable microbes. These microbes constitute the biggest bioresource in life, and our exclusive access allows us to discover novel chemicals that can be applied across a variety of markets.

We are impact-driven. Our first goal is to solve the growing antimicrobial resistance crisis through novel antibiotics and stabilise global food security through novel natural biodegradable fungicides.

We prioritize in-office work for fostering collaboration, with most of our computational team in our Vauxhall office 4 days a week. We're flexible when it matters, but this role is not suitable for someone seeking a fully remote position.

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.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.