Searchability NS&D
Senior MLOps Engineer

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New Permanent Opportunity for a Senior MLOps Engineer in Greater London
Must hold active clearance – SC or MoD DV
Up to £95k DoE plus bonus
4 days on site in Brentford – future expensed travel to client site in Cambridge
Strong experience across MLOps, ML infrastructure and production AI systems
Who are we?
We are recruiting a Senior AI/ML Engineer with strong MLOps and ML infrastructure experience for a highly technical AI organisation delivering advanced computer vision and machine learning technologies across Defence, Security and other high-performance environments.
You’ll work alongside AI researchers, software engineers, and technical leadership to take cutting-edge machine learning research from R&D through to reliable, production-ready systems. The role offers the opportunity to work on challenging AI applications deployed across both large-scale cloud environments and edge platforms.
What will the Senior MLOps Engineer be doing?
You will design, build, and maintain the infrastructure that powers advanced AI systems from research through to production. You’ll develop distributed training pipelines, build ML lifecycle infrastructure, optimise models for deployment, and support reliable AI systems across cloud and edge environments.
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.
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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.
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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 Skills and Requirements
- Strong Python/PyTorch and ML infrastructure experience
- Experience with distributed ML training using Ray, DeepSpeed, or PyTorch Lightning
- Strong MLflow, model registry, and ML lifecycle experience
- Experience with TensorRT, ONNX, quantisation, and model deployment
- Strong Docker, CI/CD, and GitHub Actions experience
- Experience with Prometheus/Grafana monitoring and production observability
- Cloud/edge AI deployment, with NVIDIA Jetson/DeepStream highly desirable
- Knowledge of Kubernetes, Kubeflow, Metaflow, and Kafka advantageous
- Computer vision, aerial/satellite/ISR experience highly beneficial
To be Considered:
Please either apply by clicking online or emailing me directly at henry.clay-davies@searchability.com. For further information, please call me on 0161 416 6800 or 07719065951. I can make myself available outside of normal working hours to suit from 7 am until 10 pm. If unavailable, please leave a message, and either myself or one of my colleagues will respond.


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By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also, feel free to connect with me on LinkedIn, just search for Henry Clay-Davies. I look forward to hearing from you.
KEY SKILLS:
MLOps / MLOps Engineer / ML Infrastructure / ML Platform / AI Engineer / Machine Learning / ML / Python / PyTorch / Ray / DeepSpeed / PyTorch Lightning / MLflow / TensorRT / ONNX / Docker / Kubernetes / CI/CD / GitHub Actions / Prometheus / Grafana / Metaflow / Kafka / NVIDIA Jetson / DeepStream / Edge AI / Computer Vision / Deep Learning
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