Scheduler Work, Jobs in Putney, Gtl (with Salaries)

Cloud Systems & Resource Orchestration - Member of Technical Staff
Callosum —London
- £101,000 - £192,000 a year
- Full-time
Quick apply
PMO Specialist - Cleared Government & Defence Sector
Turner & Townsend —London
- Full-time
- Hybrid work
Quick apply
Data Engineer
Outra —Chelsea
- Full-time
- Hybrid work
- Computer Science
- Engineering
- Master's degree
Quick apply
Manager, Marine Operations
Royal Caribbean Group —Weybridge
- Management
- English
- Maths
Planner
United Infrastructure —Loughton
- Full-time
- Organisational skills
- Communication skills
Quick apply
Care Co-ordinator
Fairplacecare Limited —Barking and Dagenham
- £24,420 - £26,402 a year
- Full-time
- Customer service
- Team management
- Recruiting
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Air Conditioning Engineer
Atlas Workplace Services —London
- Up to £45,000 a year
- Communication skills
Quick apply
Workforce Optimization Coach - NEW NIKE LONDON FLAGSHIP
Nike —London
- Microsoft Powerpoint
- Microsoft Excel
- Analysis skills
Salesforce Software Engineer - Senior Associate
JPMorganChase —London
- Full-time
- APIs
- AI
Repairs Supervisor
United Infrastructure —Hertford
- Full-time
Quick apply
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
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CSC Operations Manager
Lanes Group —Slough
- Weekend availability
- Customer service
- Continuous improvement
- Training & development
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9d
Staff DevOps Engineer
Ripple —London
- Full-time
- DevOps
- Continuous improvement
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Lead Fire Risk Assessor South
The Riverside Group —London
- £60,788 a year
- Full-time
- Hybrid work
- Presentation skills
- Training & development
- Communication skills
2d
Software Engineer, Agent Systems
Normal Computing Corporation —London
- £200,000 - £400,000 a year
- Full-time
- Hybrid work
- APIs
- AI
11d
Overseas Contractor
LTM —London
- Internship
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Technical Account Manager
Verda —London
- Full-time
- Hybrid work
- Machine learning
- AI
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
Senior Staff+ Software Engineer, Node Infra
Anthropic —London
- £325,000 - £485,000 a year
- Hybrid work
- Bachelor's degree
- Mentoring
- Communication skills
- Flexible schedule

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Cloud Systems & Resource Orchestration - 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

Cloud architecture
Kubernetes
Load balancing
Cloud engineering experience
Infrastructure provisioning automation

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. Current orchestration stacks were built for the homogeneous world - naive to the strengths of new chips and blind to the demands of modern multi-agent workflows.

This role defines how Callosum addresses this problem at the cloud and cluster level, transforming a fragmented compute ecosystem into a unified, exploitable resource pool. We are building the novel paradigm of orchestration that understands accelerator-specific constraints and capabilities. Your work is what makes heterogeneous compute intelligent at scale: every chip placed precisely and allocated efficiently in a stack that is resource-aware and diversity-native.

What You’ll Build

Design and build multi-cloud orchestration systems that abstract provider-specific differences behind a unified deployment and scheduling layer
Extend Kubernetes - particularly Dynamic Resource Allocation (DRA) — to be aware of heterogeneous accelerator topologies and capabilities, and multi-agent AI workflows
Implement intelligent load balancing and placement strategies across cloud providers, regions, and hardware types
Build control plane systems that enable efficient allocation and management of heterogeneous accelerator capacity while preserving the ability to exploit hardware-specific strengths
Collaborate with an Accelerator Systems Software engineer to surface low-level scheduling primitives into the orchestration layer

What Sets You Apart

Strong experience with Kubernetes internals - custom controllers, schedulers, device plugins, CRDs, and the DRA framework
You've built or operated multi-cloud infrastructure and have a detailed understanding of the networking, storage, and compute differences between major providers
Familiarity with GPU/accelerator resource management in cluster environments (e.g. MIG, time-slicing, device plugins, topology-aware scheduling)
Experience with infrastructure-as-code, fleet management, and the reliability engineering required to keep large-scale heterogeneous systems running

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 putney, gtl

Cloud Systems & Resource Orchestration - Member of Technical Staff

PMO Specialist - Cleared Government & Defence Sector

Data Engineer

Manager, Marine Operations

Planner

Care Co-ordinator

Air Conditioning Engineer

Workforce Optimization Coach - NEW NIKE LONDON FLAGSHIP

Salesforce Software Engineer - Senior Associate

Repairs Supervisor

Field Care Supervisor

CSC Operations Manager

Staff DevOps Engineer

Lead Fire Risk Assessor South

Software Engineer, Agent Systems

Overseas Contractor

Technical Account Manager

HPC Infrastructure Site Reliability Engineer

ML Ops Engineer

Senior Staff+ Software Engineer, Node Infra

I want to receive the latest job alerts for scheduler in putney, gtl

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