Site reliability engineer Work, Jobs in Erith, Eng (with Salaries)

MLOps Engineer
White Circle —London
- Full-time
- Hybrid work
- Software troubleshooting
- Relocation assistance
- Annual leave
Senior DevOps Engineer
BP Consultancy Group Limited —London
- £100,000 - £105,000 a year
- Full-time
- Computer Science
- Bachelor's degree
- Mentoring
- Free parking
- Health & wellbeing programme
Quick apply
3d
Staff Software Engineer, AI Reliability Engineering
Anthropic —London
- £325,000 - £390,000 a year
- Hybrid work
- Bachelor's degree
- Machine learning
- AI
- Flexible schedule
DevOps Engineer- London
FDM Group —London
- Hybrid work
- DevOps
- Continuous improvement
- Scripting
- Annual leave
6d
Production Engineer
TP ICAP —London
- Weekend availability
- Customer service
- Continuous improvement
- Mentoring
Vice President, Site Reliability Engineering
The Bank of New York Mellon Corporation —London
- Full-time
- Computer Science
- Engineering
- Bachelor's degree
Senior DevOps Engineer
Technossus Software Services Pvt. Ltd —London
- From £35,000 a year
- Full-time
- AWS
- Scripting
- Communication skills
Quick apply
4d
Site Reliability Engineering Manager
Holland & Barrett —London
- Full-time
- Store discount
- Employee assistance programme
DevOps Engineers
CGI —London
- Full-time
- DevOps
- Scripting
Quick apply
Senior Software Engineer, Backend
Camunda Careers —London
- £90,300 - £231,900 a year
- Full-time
- Remote
Site Reliability Manager - Environment Strategy
EPAM Systems, Inc. —London
- Hybrid work
- DevOps
- AWS
- Continuous improvement
- Employee stock purchase plan
- Employee assistance programme
Principal Systems Engineer
Harris Computer Systems —London
- Full-time
- Remote
- Computer Science
- Databases
- Bachelor's degree
DevOps Engineer
BAE Systems —London
- Part-time
- Hybrid work
- Scripting
- Communication skills
Principal Systems Engineer
Altera Digital Health Inc. —London
- Full-time
- Remote
- Computer Science
- Databases
- Bachelor's degree
AI Operations Engineer (Python)
Sky —London
- Full-time
- Hybrid work
- Master's degree
- AI
- Communication skills
- Free parking
- Employee discount
Monitoring & Observability Engineer (Dynatrace)
Computacenter —London
- DevOps
- Continuous improvement
- Communication skills
Sr. Observability Engineer
Universal Music Group —London
- Full-time
- DevOps
- Analysis skills
- Bachelor's degree
Platform Engineer
The Fidelis Partnership —London
- Full-time
- Communication skills
3d
Observability Engineer
Universal Music Group —London
- Full-time
- Computer Science
- Engineering
- Analysis skills
Site Reliability Engineering (SRE) / Observability Technical Lead
NTT Ltd —London
- DevOps
- Mentoring
- Training & development

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MLOps Engineer

White Circle
London

Apply Now

Job details

Full-time

Benefits

Relocation assistance
Annual leave

Qualifications

Technical troubleshooting
Rust (programming language)
Node.js
Dashboard visualisation
Law
Software troubleshooting
Kubernetes
Kubernetes orchestration
CI/CD pipelines
Terraform
Continuous integration
A/B testing
Infrastructure provisioning automation
Terraform provisioning
Debugging

Full job description

TLDR: We're looking for an MLOps Engineer to sit at the boundary between Research and Production. You'll own the infrastructure that takes a trained model and makes it production-safe: rollout pipelines, quality and latency gates, canary deployments, and the dashboards that decide whether a release ships or rolls back.

About us

White Circle is an AI Safety company building the safety, reliability, and optimization layer for AI systems. At the core of our platform are policies – simple natural-language rules that define what an AI model should and shouldn’t do. We automatically test, enforce, and continuously improve these policies at scale.

We’ve raised $11M from top funds, founders, and senior leaders at OpenAI, Anthropic, HuggingFace, Mistral, DeepMind, Datadog, Sentry, and others
We process over 100M+ API calls every month
We fine-tune and train our own LLMs so they run faster and cheaper than any open or proprietary model

We’re a small, highly focused team. If you want to work deeply on hard problems, see your work ship to production quickly, and influence how AI safety is actually built – you’re the one we need.

You will:

Integrate new text and multimodal models into our serving paths and verify they behave correctly under production-like traffic.
Build and maintain rollout pipelines for frequent model releases.
Create smoke, quality, and performance gates for model promotion.
Operate local and cluster GPU deployments on Kubernetes.
Build dashboards for latency, throughput, queue depth, GPU usage, fallback rate, and quality drift.
Run A/B and canary rollouts for model, prompt, routing, and serving config changes.
Debug production issues across model config, tokenizer, serving API, router, queue, Kubernetes, GPU runtime, and CI jobs.
Optimize serving cost and reliability across mixed GPU capacity.

Who you are

Experience with an inference serving engine such as SGLang, vLLM, Dynamo, or TensorRT-LLM, and a working understanding of the request lifecycle through gateway, router, frontend, worker, queue, and model engine.
Solid Kubernetes GPU experience: NVIDIA device plugin, GPU scheduling, resource requests/limits, node affinity, taints, tolerations, and node pools.
Understanding of multi-node communication libraries and kernels, CUDA runtime, and container runtime compatibility, and the ability to debug across those layers.
Ability to design and implement CI/CD for model serving: image and config versioning, smoke tests, quality regression tests against benchmarks, latency/throughput gates, canary rollout, and rollback.
Strong observability instincts — you can define the dashboards and alerts that decide whether a model gets promoted or rolled back (p50/p95/p99 latency, TTFT, TPOT, queue depth, GPU utilization/memory, error/timeout/OOM rates, fallback rate, route distribution, canary vs. baseline, cost per successful request).
Production debugging across the whole stack from Rust to k8s configs.
Clear communication of engineering tradeoffs.

Nice-to-haves

Rust backend experience.
NCCL, UCX, NVSHMEM, RDMA, InfiniBand, RoCE, or EFA.
ClickStack / Datadog.
Terraform for GPU infrastructure.
DCGM exporter, Prometheus, OpenTelemetry.
Experience with a high model rollout cadence (2–3 releases per week).

Why White Circle

Paid time off in line with your local regulations, no matter where you work from
Work from Paris (hybrid) with a relocation package available, or work from London (note: we are unable to provide relocation support for London-based roles)
Comprehensive medical insurance for our France-based team (please note that we are in the process of setting up our UK office and therefore cannot offer medical insurance for London-based roles yet)
All the hardware, tools, and services you need
Meaningful equity package
Covered subscriptions for AI agents and IDEs
Team off-sites twice a year: we’ve recently been to the Alps and to Saint-Tropez

How we hire

Introductory call with HR (25 min)
Take-home test task
Technical interview with Head of Applied Research (60 min)
Final conversation with our CEO (45 min)

Apply Now

Refine Your Search

site reliability engineer jobs in erith, eng

MLOps Engineer

Senior DevOps Engineer

Staff Software Engineer, AI Reliability Engineering

DevOps Engineer- London

Production Engineer

Vice President, Site Reliability Engineering

Senior DevOps Engineer

Site Reliability Engineering Manager

DevOps Engineers

Senior Software Engineer, Backend

Site Reliability Manager - Environment Strategy

Principal Systems Engineer

DevOps Engineer

Principal Systems Engineer

AI Operations Engineer (Python)

Monitoring & Observability Engineer (Dynatrace)

Sr. Observability Engineer

Platform Engineer

Observability Engineer

Site Reliability Engineering (SRE) / Observability Technical Lead

I want to receive the latest job alerts for site reliability engineer in erith, eng

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