trg.
Machine Learning Engineer

How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Machine Learning Engineer
London (Remote) | Up to £90,000 | Two Stages
The company
Our client is a fast-growing technology company in the marketing and advertising space. Their platform helps some of the world's biggest brands predict and improve the impact of their marketing. It's an industry going through huge change, and this team is at the centre of it.
The role
You'll join an empowered product team as a hands-on Machine Learning Engineer, working alongside Product Managers, Engineers, and Data Scientists. You'll build the models behind a product used by major global brands, and see your work go into production and make a real difference to customers.
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.
What you'll be doing
- Building, training, and evaluating models in PyTorch to solve real prediction problems
- Working with text, image, and video data, using anything from classic ML to deep learning and LLMs
- Preparing datasets and building the features and pipelines your models need
- Running rigorous experiments and iterating quickly towards better results
- Working with product and engineering colleagues to turn model outputs into product value
- Packaging and documenting models so they can be handed to engineering for deployment


Get help with your application
Your very own career expert that helps elevate your application to the next level.
What you'll bring
- Around 3-5 years of hands-on machine learning experience
- Solid experience building and training models with PyTorch
- Strong Python skills and comfort with NumPy, pandas, and scikit-learn
- In-depth experience with at least one data type: text, images, video, or tabular
- Good habits around Git, experiment tracking, and reproducibility
- NLP, computer vision, or multimodal experience is a strong plus
If interested, please apply or contact me directly at mmatysik@trg-uk.com
“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
Location