
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Senior ML Engineer
It's fun to work in a company where people truly BELIEVE in what they're doing!
We're committed to bringing passion and customer focus to the business.
Senior ML Engineer
Location: West London – Hybrid (Onsite 2 days per week)
Employment Type: 12-Month Fixed-Term Contract (FTC)
About Fractal
We’re a strategic AI partner to Fortune 500 companies, dedicated to powering every human decision in the enterprise.
Our vision is to create a world where:
- Individual choices, freedom, and diversity are the greatest assets.
- Human imagination drives every decision.
- Only possibilities are challenged—not discarded.
A true Fractalite is someone who empowers imagination with intelligence.
Recognised for:
- A Great Place to Work (Economic Times)
- Gartner "Cool Vendor" and "Vendor to Watch"
What You’ll Be Doing
Core Responsibilities
- Model Development:
Design, train, and optimise machine learning models for:
- User personalisation
- Recommendation engines
- Ranking algorithms
- User segmentation
- Content analysis
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.
-
Data Pipeline Engineering: Build and maintain scalable data pipelines for feature engineering and model training (structured/unstructured, large-scale datasets).
-
Production Deployment: Deploy and monitor ML models to ensure:
- High availability
- Optimal performance
- Model relevance
-
Experimentation: Lead A/B tests and offline experiments to measure model efficacy and drive continuous improvement.
-
Cross-Functional Collaboration: Work with multidisciplinary teams to align ML initiatives with business objectives and user needs.
-
Research & Innovation: Explore emerging ML, deep learning, and personalisation technologies for integration.
What You’ll Bring
Must-Have Experience
✔ Proficiency in Python + deep knowledge of ML libraries/frameworks (TensorFlow, PyTorch). ✔ Expertise in full ML lifecycle (development → deployment → serving → monitoring → maintenance). ✔ Hands-on experience with:
- ML training frameworks (TFX, Kubeflow Pipelines SDK)
- Model serving (TensorFlow Serving, Triton, TorchServe) ✔ Ability to optimise large-scale data processing and handle real-time streaming architectures. ✔ Strong grasp of recommendation systems and personalisation algorithms. ✔ Familiarity with Generative AI and its production-level applications. ✔ Applied problem-solving skills and excellent communication.


Get help with your application
Your very own career expert that helps elevate your application to the next level.
Good to Have
🔹 Experience with OTT (over-the-top) platforms. 🔹 Scala development exposure.
Culture Fit
If you thrive in a fast-growing, energetic team where over-achievers drive ambition, we’d love to hear from you!
How to Apply
📧 Hiring Queries:
- India: HiringsupportIndia@fractal.ai
- (Outside India): HiringsupportROW@fractal.ai
⚠️ Note: This inbox does not accept unsolicited resumes. Apply only via posted job openings.
Not the right fit? Register interest in future roles via Introduce Yourself or set up email alerts on the Fractal careers page.
“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
Skills
Location