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

Nominate & Attend

Senior Machine Learning Engineer

Opus Recruitment Solutions
London
3 months ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Salary : £80,000 - £100,000

Hybrid - 2 Office Days


Our client offers an innovative drug discovery platform that uses generative AI to explore organ-level mechanisms and design new drugs, aiming to enhance clinical success rates.


Role Summary

The client is seeking a senior AI/ML Engineer. You will work closely with top experts in AI for biology to push the boundaries of organism-level drug discovery.


Key Responsibilities

  • Create and assess machine learning models to interpret omics data for drug discovery applications.
  • Lead and collaborate on interdisciplinary projects in biology and drug discovery.
  • Convert developed solutions into user-friendly packages with comprehensive documentation.


Required Qualifications

  • Ph.D. or MSc. in computer science, mathematics, physics, computational biology, or equivalent experience.
  • Experience with natural language models, diffusion/flow matching models, and large-scale vision models using transformer architecture.
  • Proficiency in handling omics data, single-cell data, and perturbational data.
  • Expertise in advanced statistical techniques, machine learning, and modern deep learning methods.
  • Strong Python skills, including core data science libraries (Scikit-Learn, SciPy, TensorFlow, PyTorch).
  • Knowledge of software development best practices and collaboration tools (git-based version control, Python package management, code reviews).
  • Excellent communication skills for explaining complex algorithms and methods to non-technical stakeholders.
  • Bonus: Experience with cloud environments and tools such as Google Cloud, Amazon AWS.
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.

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.

Machine Learning Jobs Salary Calculator 2025: Figure Out Your True Worth in Seconds

Why last year’s pay survey is useless for UK ML professionals today Ask a Machine Learning Engineer wrangling transformer checkpoints, an MLOps Lead firefighting drift alarms, or a Research Scientist training diffusion models at 3 a.m.: “Am I earning what I deserve?” The honest answer changes monthly. A single OpenAI model drop doubles GPU demand, healthcare regulators release fresh explainability guidance, & a fintech unicorn pays six figures for vector‑search expertise. Each shock nudges salary bands. Any PDF salary guide printed in 2024 now looks like an outdated Jupyter notebook—missing the gen‑AI tsunami, the surge in edge inference, & the UK’s new Responsible‑AI framework. To give ML professionals an accurate benchmark, MachineLearningJobs.co.uk distilled a transparent, three‑factor formula that estimates a realistic 2025 salary in under a minute. Feed in your discipline, UK region, & seniority; you’ll receive a defensible figure—no stale averages, no guesswork. This article unpacks the formula, highlights the forces driving ML pay skyward, & offers five practical moves to boost your value inside the next ninety days.

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.