Computational Chemist & AI Engineer

Skills Alliance
Southampton
9 months ago
Applications closed

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Quantum ML Scientist: Build Real-World Quantum Software

Software Engineer - UK-025

Scientist in Quantum Computing and Machine Learning

Quantum Computing Specialist – 12 Month FTC

Quantum Computing Specialist – 12 Month FTC

Senior Cryogenics Engineer

AI Scientist – Computational Chemistry & Machine Learning

A technology-driven company at the forefront of scientific innovation is seeking anAI Scientistwith expertise incomputational chemistryandapplied machine learningto help develop transformative tools for drug discovery and partner success.

Key Responsibilities

  • Build and maintain strong relationships with external partners, delivering high-impact, transformational AI projects.
  • Collaborate with multidisciplinary teams—including data scientists, software engineers, and product teams—to integrate emerging technologies into real-world solutions.
  • Design and implementcutting-edge AI algorithms, ensuring their integration intorobust, production-grade platformsthat enhance research efficiency.
  • Translate scientific and business goals intoscalable and maintainable softwaresolutions.
  • Own thefull development lifecycle, from requirements gathering through to planning, coding, testing, and deployment.
  • Stay current onadvancements in computational science and AI, applying relevant innovations to project work.

Core Qualifications

  • MSc or PhD inComputational Chemistry,Cheminformatics,Quantum Mechanics, orAI for scientific discovery.
  • Demonstrated impact in previousscientific or technical projects, ideally within the life sciences or drug discovery space.
  • Advanced programming skills, especially inPython; experience in other languages (e.g.,C/C++,Java) is a plus.
  • Strong communicator, able toclearly articulate scientific ideasto diverse technical and non-technical audiences.
  • Collaborative, growth-oriented mindset with a passion forrapidly translating novel research into real-world applications.

Preferred Experience

Expertise in one or more of the following areas:

  • Artificial Intelligence: Experience withGNNs,transformers,generative models,Gaussian processes, orreinforcement learning.
  • Cheminformatics: Familiarity withchemical data formats,reaction prediction, and tools such asRDKitorOpenEye.
  • Quantum Mechanics: Practical use ofQM methodsfor synthesis prediction using tools likePSI4,Orca, orGaussian.
  • Big Data: Experience curating and processing data from diverse sources; exposure toApache SparkorHadoopis beneficial.
  • Cloud Platforms: Proficiency withAWS,GCP, orAzure.
  • ML Frameworks: Hands-on withscikit-learn,TensorFlow,PyTorch, or related libraries.

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How to Write a Quantum Job Ad That Attracts the Right People

Quantum computing is no longer confined to university labs and research papers. UK companies are now actively hiring quantum software engineers, physicists, hardware specialists, cryptographers and commercial leads as the sector moves closer to real-world deployment. But while demand for quantum talent is rising, many employers are struggling to attract the right candidates. Roles attract either underqualified applicants who see “quantum” as a buzzword, or highly academic researchers who are a poor fit for commercial environments. The problem often isn’t the candidate pool — it’s the job advert. Writing a strong quantum job ad requires a very different approach to traditional tech hiring. Quantum professionals are highly specialised, sceptical of hype and acutely aware when an employer doesn’t truly understand the field. In this guide, we’ll break down how to write a quantum job ad that attracts the right people, filters out the wrong ones and positions your organisation as a serious, credible player in the quantum ecosystem.

Maths for Quantum Jobs: The Only Topics You Actually Need (& How to Learn Them) Linear algebra essentials, probability, complex numbers, basic optimisation.

If you are a software engineer, data scientist or ML engineer looking to move into quantum computing or you are a UK undergraduate or postgraduate in physics, maths, computer science or engineering applying for quantum roles, the maths can feel like the biggest barrier. Job descriptions often say “strong maths” but rarely spell out what that means in practice. The good news is you do not need a full maths degree’s worth of theory to start applying. For most graduate & early-career roles in quantum software, quantum research engineering & quantum algorithms, the maths you actually use again & again is concentrated in four areas: linear algebra, probability, complex numbers & basic optimisation. This guide turns vague requirements into a clear, job-focused checklist. You will learn what to focus on, what to leave for later & how to build small portfolio outputs that prove you can translate the maths into working code.

Neurodiversity in Quantum Computing Careers: Turning Different Thinking into a Superpower

Quantum computing is one of the most demanding – & exciting – areas in technology. It sits at the intersection of physics, mathematics, computer science, engineering & even philosophy. The problems are complex, the systems are fragile, & the answers are rarely obvious. That’s exactly why quantum needs people who think differently. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too chaotic” for high-end research or deep technical roles. In reality, many of the traits that made school or traditional workplaces difficult can be huge strengths in quantum computing – from intense focus on niche topics to pattern recognition in noisy data & creative approaches to algorithms. This guide is for neurodivergent job seekers exploring quantum computing careers in the UK. We’ll look at: What neurodiversity means in a quantum computing context How ADHD, autism & dyslexia strengths map onto common quantum roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in quantum computing – & how to turn “different thinking” into a genuine superpower.