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Machine Learning Engineer

London
£60k – £85k/yr
Posted about 14 hours ago
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Job Title: Molecular AI Machine Learning Engineer

Location: London

Salary: £60,000 to £85,000 DOE

A well-funded life science technology company is looking for a Machine Learning Engineer to help build, deploy, and optimise machine learning systems for molecular and protein applications.

This is a role for someone who enjoys making ML systems work in practice. You will bridge cutting-edge research with production-ready software, working closely with ML scientists and computational chemists to ensure models are scalable, reliable, and efficiently integrated into scientific workflows. The work spans training and optimisation through to deployment and production monitoring across cloud and HPC environments.

What we are looking for

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I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Only hits

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  • MSc or PhD in Computer Science, Machine Learning, Engineering, Computational Biology, or a related field, or equivalent industry experience
  • Strong Python software engineering skills
  • Hands-on experience with PyTorch and modern ML frameworks
  • Experience deploying machine learning models into production environments
  • Knowledge of MLOps, containerisation, Docker, cloud platforms, CI/CD, and model serving
  • Experience optimising model training and inference for performance and scalability
  • Ability to work independently in a fast-moving, multidisciplinary environment

Particularly strong candidates will also have

  • Experience working with molecular, protein, structural biology, or chemistry datasets
  • Familiarity with graph neural networks, geometric deep learning, or transformer-based models
  • Experience with distributed training, GPU optimisation, or high performance computing
  • Knowledge of molecular representations, protein structures, or computational chemistry

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Why this role

You will be working at the intersection of machine learning engineering and life science, in a team that includes computational chemists, structural biologists, and ML scientists. The problems are genuinely hard and the domain is one of the most exciting applications of ML in science today.

This role requires existing right to work in the UK. Visa sponsorship is not available.

If your background fits, apply below.

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Skills

Python
Machine Learning
MLOps
Docker
Cloud Platforms
CI/CD
Model Serving
PyTorch
Optimisation
Distributed Training
GPU Optimisation
Computational Biology
Graph Neural Networks
Geometric Deep Learning
Transformer-Based Models
Protein Structures

Location

London, England, United Kingdom

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