Machine Learning Engineer/Researcher

Primis
City of London
3 days ago
Create job alert

Job Description

*Please note this role is based in New York and will require relocation - sponsorship will be supported.


We are partnered with an applied research lab that is building the future of AI-powered creative tools – systems that turn cutting edge research into production-ready technology that empowers creators worldwide.


They are seeking exceptional talent across three specialist roles to help solve the hardest problems in computational creativity.


Opportunity 1: ML Engineer to turn cutting-edge research into production systems that generate creative content. You'll build multi-stage inference for video, text, images, audio and 3D with real-time feedback and refinement.



They are looking for:

  • Deep knowledge of modern deep learning architectures, optimisation, and tooling.
  • Proficiency in PyTorch or JAX. Experience designing, training, and evaluating deep learning systems.
  • Breadth across ML literature beyond just generative models.



Opportunity 2: ML Research Scientist to solve the hardest problem in AI (teaching machines to be creative!). You will invent new methods beyond pattern marching to build cretive reasoning and artistic decision-making and will build models that generalise and create across a variety of mediums.



They are lo...

Related Jobs

View all jobs

Machine Learning Engineer/Researcher

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer Contractor

Staff Machine Learning Engineer

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.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.