Scheduler Work, Jobs in Westerham, Ken (with Salaries)

Inference Engine Development - Member of Technical Staff
Callosum —London
- £101,000 - £192,000 a year
- Full-time
- Machine learning
Quick apply
Social Media and Community Manager
Koinly —London
- Full-time
- Remote
- Social media management
- English
- Communication skills
- Annual leave
- Flexible schedule
Quick apply
Cloud Systems & Resource Orchestration - Member of Technical Staff
Callosum —London
- £101,000 - £192,000 a year
- Full-time
Quick apply
Care Co-ordinator
Fairplacecare Limited —Barking and Dagenham
- £24,420 - £26,402 a year
- Full-time
- Customer service
- Team management
- Recruiting
Quick apply
PMO Specialist - Cleared Government & Defence Sector
Turner & Townsend —London
- Full-time
- Hybrid work
Quick apply
Manager, Marine Operations
Royal Caribbean Group —Weybridge
- Management
- English
- Maths
Salesforce Software Engineer - Senior Associate
JPMorganChase —London
- Full-time
- APIs
- AI
Software Engineer, Agent Systems
Normal Computing Corporation —London
- £150,000 - £350,000 a year
- Full-time
- Hybrid work
- APIs
- AI
10d
Air Conditioning Engineer
Atlas Workplace Services —London
- Up to £45,000 a year
- Communication skills
Quick apply
Lead Fire Risk Assessor South
The Riverside Group —London
- £60,788 a year
- Full-time
- Hybrid work
- Presentation skills
- Training & development
- Communication skills
2d
Field Care Supervisor
Right at Home - Sutton and Mid-Surrey —Epsom
- £15.60 - £16.60 an hour
- Full-time
- Microsoft Outlook
- Management
- Mentoring
- Paid training
Quick apply
Technical Account Manager
Verda —London
- Full-time
- Hybrid work
- Machine learning
- AI
Staff DevOps Engineer
Ripple —London
- Full-time
- DevOps
- Continuous improvement
Quick apply
Senior Staff+ Software Engineer, Node Infra
Anthropic —London
- £325,000 - £485,000 a year
- Hybrid work
- Bachelor's degree
- Mentoring
- Communication skills
- Flexible schedule
Overseas Contractor
LTM —London
- Internship
Quick apply
Senior Staff+ Software Engineer, Kubernetes Platform
Anthropic —London
- £325,000 - £485,000 a year
- Hybrid work
- Bachelor's degree
- Communication skills
- Flexible schedule
HPC Infrastructure Site Reliability Engineer
Radiant —London
- Full-time
- Hybrid work
- Computer Science
- Engineering
- Master's degree
Quick apply
ML Ops Engineer
CMC Markets —London
- Full-time
- System design
- Machine learning
ML Infrastructure Engineer
White Circle —London
- £180,000 - £350,000 a year
- Full-time
- Hybrid work
- Master's degree
- AI
- Relocation assistance
- Annual leave
Software Engineer, Compute
Vercel —London
- Full-time
- Remote
- In-person
- Communication skills
- Work from home

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scheduler jobs near westerham, ken

Inference Engine Development - Member of Technical Staff

Callosum
London

Quick apply

Job details

Full-time
£101,000 - £192,000 a year

Benefits

UK visa sponsorship
Private medical insurance

Qualifications

Machine learning
Multidisciplinary collaboration

Full job description

About Us

The last era of AI scaled on a single bet: bigger models, more identical chips, more data. As problems grow more complex and the requirements of intelligence more diverse, that bet is breaking down. Real-world problems are heterogeneous: no single model or chip can solve them alone. The next era of AI requires heterogeneity at the infrastructure level - diverse models on diverse chips, each with distinct strengths, co-evolving into systems of capability that move the Pareto frontier of what is possible. That's what we are building.

Callosum is the Intelligent Systems Company. We started from questioning what actually creates intelligence. We believe there is no single answer, but rather a system-level solution. We co-evolve models, workflows, and silicon together to show that intelligence does not come from a single component, but it emerges from the diversity of co-optimised mechanisms working together and aware of each other. Heterogeneity will define the next era of compute, and is a principle that holds in biological, neuronal, and economic systems alike.

In early 2026 we launched with results showing orders of magnitude improvements in performance, and this is only the beginning. Agentic AI is the future of how intelligence is deployed: multi-step, long-horizon, and operating in changing environments. These systems are inherently heterogeneous, and can only be as powerful as the infrastructure that runs them.

We are engineers and scientists based in London, working together across the full depth of the stack. We are curious, intellectually honest, and building what doesn't exist yet. If you thrive on uncharted territory and are energised by the scale of the challenge, we'd love to hear from you.

About the Role

Callosum believes that orders of magnitude improvements in AI systems will come through application-aware orchestration across heterogeneous hardware. We are building that vision: infrastructure that treats the full landscape of compute as a unified, co-evolving system, evolved beyond GPUs.

Inference engines were designed for single-model inference on homogeneous GPU clusters - this role builds them beyond that. Working directly on systems like vLLM and SGLang, you will adapt and extend them for heterogeneous resources, making them hardware-aware, with deeper optimisation around scheduling, memory, and execution. The execution strategies you design - parallelism, disaggregation, caching - will define what heterogeneous inference looks like at production scale. Your work ensures that the capabilities exposed by the lower layers of the stack translate into real, measurable gains, the new standard for how inference runs on diverse hardware.

What You'll Build

Contribute upstream to SGLang and vLLM, and maintain internal forks where our requirements diverge
Improve hardware-awareness within inference engines so that scheduling, memory management, and execution adapt to the capabilities of the underlying accelerator
Design and implement bespoke parallelism and disaggregation strategies that go beyond default configurations to better exploit heterogeneous hardware
Work closely with an Accelerator Systems Software engineer to ensure engine-level abstractions map cleanly onto diverse hardware capabilities

What Sets You Apart

Deep familiarity with the internals of SGLang, vLLM, or comparable inference serving frameworks - scheduler design, memory management, and execution pipelines
Strong background in high-performance Python and C++/CUDA systems, particularly in the context of ML inference
Experience designing or implementing parallelism strategies for large model serving
Understanding of disaggregated serving architectures and the tradeoffs involved in separating modules of a workflow
Demonstrable record of working effectively in fast-moving open source codebases with evolving APIs and design conventions

What We Offer

Competitive Salary, determined by skills and experience
Equity & Ownership
Private healthcare
We offer Visa sponsorship and relocation benefits to hire the best in the world
We work in person at our London office. You'll have the tools, space and setup to do your best work, and if you have specific needs, just tell us

We're committed to building an inclusive workplace where everyone feels welcome, and believe in equal opportunities for all.

Compensation Range: £101K - £192K

Quick apply

Refine Your Search

scheduler jobs in westerham, ken

Inference Engine Development - Member of Technical Staff

Social Media and Community Manager

Cloud Systems & Resource Orchestration - Member of Technical Staff

Care Co-ordinator

PMO Specialist - Cleared Government & Defence Sector

Manager, Marine Operations

Salesforce Software Engineer - Senior Associate

Software Engineer, Agent Systems

Air Conditioning Engineer

Lead Fire Risk Assessor South

Field Care Supervisor

Technical Account Manager

Staff DevOps Engineer

Senior Staff+ Software Engineer, Node Infra

Overseas Contractor

Senior Staff+ Software Engineer, Kubernetes Platform

HPC Infrastructure Site Reliability Engineer

ML Ops Engineer

ML Infrastructure Engineer

Software Engineer, Compute

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