DeepRec.ai
Machine Learning Research Engineer

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Machine Learning Research Engineer
Machine Learning Research Engineer
Location: London (Hybrid) Job Type: Full-Time Salary: £80,000 - £100,000
We're partnering with an innovative deep-tech organisation developing next-generation computing technology and advanced AI solutions.
As the company continues to expand its research capabilities, they're looking to appoint a Machine Learning Research Engineer to help drive the development of novel machine learning algorithms and applications.
This is a rare opportunity to work on cutting-edge technology at the intersection of machine learning, advanced computing, and emerging hardware platforms, helping to solve complex real-world challenges for customers and partners worldwide.
The Opportunity
As a Machine Learning Research Engineer, you’ll:
- Develop and benchmark new machine learning approaches, with a particular focus on generative AI and advanced neural network architectures.
- Work alongside a multidisciplinary team of researchers and engineers, translating innovative ideas into practical solutions and customer-facing applications.
Reasons to use Rodeo
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.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour 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.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
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.
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.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Key Responsibilities
- Develop, test, and benchmark advanced machine learning algorithms.
- Work with generative AI models, including diffusion models, flow models, and GANs.
- Design and evaluate novel hybrid machine learning architectures.
- Collaborate with customers and strategic partners to identify and solve complex technical challenges.
- Contribute to software products through the development of new algorithms, tools, and examples.
- Support research activities through experimentation, analysis, and publication of results.
- Contribute to the creation and protection of intellectual property arising from your work.
Essential Requirements
- Proven experience developing and benchmarking machine learning algorithms.
- Hands-on experience with diffusion models, flow models, and/or GANs.
- Strong programming skills in Python and PyTorch.
- Experience using version control systems (e.g., Git).
- MSc or PhD in Computer Science, Machine Learning, Physics, Mathematics, or a related discipline.
- Excellent communication skills and the ability to work effectively within multidisciplinary teams.


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Desirable Experience
- Experience working with advanced computing infrastructure, including HPC, GPUs, NPUs, ASICs, or other specialist hardware.
- Experience training and optimising multi-GPU models.
- Published research in machine learning or a related field.
- Experience working directly with customers or external stakeholders.
- An interest in or understanding of quantum computing technologies.
What’s On Offer
- The opportunity to work on genuinely innovative technology at the forefront of AI and advanced computing.
- A collaborative environment alongside highly experienced researchers and engineers.
- Exposure to cutting-edge machine learning research and commercial applications.
- Competitive salary and benefits package.
- Hybrid working based in London.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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