Computational Chemist & AI Engineer

Skills Alliance
Southampton
1 month ago
Applications closed

Related Jobs

View all jobs

Computational Biology & Machine Learning Scientist

Computational Biology & Machine Learning Scientist

Computational Biology & Machine Learning Scientist

Machine Learning Scientist

Machine Learning Scientist

Data Scientist/Machine Learning Engineer - RNA Design

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.

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.

Jobs

Machine Learning Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Machine learning (ML) has become the beating heart of modern tech innovation, powering breakthroughs in healthcare, finance, cybersecurity, robotics, and more. Across the United Kingdom, this surge in ML-driven solutions is fueling the success of countless start-ups—and spurring demand for talented machine learning engineers, data scientists, and related professionals. If you’re eager to join a high-growth ML company or simply want to keep tabs on the latest trends, this Q3 2025 Investment Tracker will guide you through the newly funded UK start-ups pushing the boundaries of ML. In this article, we’ll highlight key developments from Q3 2025, delve into the most promising newly funded ventures, and shed light on the machine learning roles they’re urgently seeking to fill. Plus, we’ll show you how to connect with these employers via MachineLearningJobs.co.uk, a dedicated platform for ML job seekers. Let’s dive in!

Jobs

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!

Jobs Careers

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.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.