Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Software Engineer

Amicus
Manchester
11 months ago
Applications closed

Related Jobs

View all jobs

Senior Software Engineer, Machine Learning

Senior Computer Vision Engineer

Senior Data Engineer (AI & MLOps, AWS, Python)

Senior AI Engineer - Generative AI and Search - Artificial Intelligence

Senior AI Engineer - Generative AI and Search - Artificial Intelligence

Senior Machine Learning Engineer London, United Kingdom

Senior Backend Software Engineer – Python / AWS / Data – Remote


Our client, a fast-growing European biotech start-up, is revolutionizing the drug discovery and infectious disease treatment industry.


Having recently secured Series A funding, they are ready to expand their backend engineering team and are looking for a skilledSenior Backend Software Engineerto support their next growth phase.


This is an exciting opportunity to work with a dynamic team in a company that has been steadily expanding since its establishment in the late 2010s, and it’s set to scale significantly in the months ahead.


Company

This company is dedicated to developing cutting-edge tools and platforms aimed at advancing treatments and speeding up drug discovery.


With a compact, highly talented tech team of fewer than 15 people split between Software Engineering and Data Science, this organization is well-positioned for rapid growth.


They’re looking for a Senior Backend Engineer to join their team and directly support the CTO, with opportunities for significant impact on the company’s core technology and processes.


The Role

In this role, you’ll be a key contributor to the company’s bespoke platform, built on AWS and Python, which powers complex workflows, including machine learning training and predictions.


You’ll work with experienced and junior engineers alike, contributing to both the software and data-focused aspects of the platform. If you’re looking for an opportunity where you can work hands-on with innovative technology in a biotech context, this is the role for you.


Requirements

  • 4+ years of experience in Python (minimum)
  • Strong Cloud Experience using AWS (infrastructure and security is beneficial)
  • Experience building data centric platforms
  • Experience with both SQL & DynamoDB


Benefits:

  • Fully remote and flexible work arrangements (hybrid option available in the London office).
  • Competitive salary up to £90,000, plus benefits.


If you’re a backend engineer ready to make a difference in biotech and work in a forward-thinking start-up, we’d love to connect and tell you more.


Apply today to join a company that’s shaping the future of medical science!


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 to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.