Sponsorship verdict
No sponsorship evidence yet
No government record and no wording either way. Not a refusal: ask the recruiter.
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No government sponsor record hereThis employer posted directly and does not match a government sponsor register.
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The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
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Can’t check pay against the visa rulesNo salary stated. UK Skilled Worker visa needs at least £41,700 a year (new-entrant (under 26, recent Student/Graduate visa) or STEM PhD: £33,400).
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Details and sources
- Can’t check pay against the visa rules
- No salary stated. UK Skilled Worker visa needs at least £41,700 a year (new-entrant (under 26, recent Student/Graduate visa) or STEM PhD: £33,400). Source: https://www.gov.uk/skilled-worker-visa/when-you-can-be-paid-less, rules effective 2025-07-22.
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Before you apply
Sponsorship unknown
No register record and no sponsorship wording in the posting. Worth asking the employer before investing significant time.
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About the role
Job title: Applied ML Technical Lead, Defence
Location: London; full in-office working as default
Start date: ASAP
Reports to: CEO
Compensation: Salary and Equity options available for discussion
Clearance: Must be eligible to hold UK Security Vetting Clearance SC or above (no prior clearance required)
Application Deadline: 08/11/26 at 23:59 UK Time
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Help put frontier AI to work in Defence
Cosine is a UK AI lab building models, applications and training infrastructure for mission-critical organisations.
We build coding agents that work across real software systems, specialised Lumen models, AI-native security products and the infrastructure needed to deploy advanced AI in demanding environments. Our customers include some of the world's largest enterprises, including organisations operating behind strict security, regulatory and technical constraints.
We're also training Lumen Sovereign, the first frontier large language model trained in the UK, with the support of the UK Government.
We're now looking for an Applied ML Technical Lead to help develop and deploy advanced AI capabilities for organisations operating in UK Defence and national security.
This is a hands-on technical leadership role. You will work across machine learning development, deployment and customer-facing technical delivery. You may spend part of your time training and evaluating models on complex sensor data, and part of your time working with Defence stakeholders to understand operational needs, shape priorities and guide delivery.
You will not be expected to act as a traditional project manager. Instead, you will own the technical direction and day-to-day progress of applied ML work, coordinating the people and decisions needed to turn promising research into useful operational capability.
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What you'll do
• Build ML capabilities for real Defence problems
• Design, build, train and evaluate machine learning models for challenging applied Defence and national security use cases.
• Work on problems involving complex sensor data, signal processing, pattern recognition, classification and multimodal intelligence.
• Develop and improve model architectures, training pipelines, evaluation frameworks and inference systems.
• Work with real-world and synthetic datasets to improve model accuracy, robustness and generalisation.
• Translate research prototypes into reliable, deployable capabilities that operate within demanding technical and security constraints.
• Work closely with Cosine's ML research and engineering teams while taking direct ownership of technical outcomes.
Lead technical delivery from prototype to deployment
• Own the technical direction and day-to-day progress of applied ML projects.
• Turn operational objectives into concrete technical goals, experiments, milestones and success measures.
• Coordinate work across ML researchers, software engineers, infrastructure teams and external stakeholders.
• Identify technical dependencies, delivery risks and blockers, and help drive them to resolution.
• Establish clear evaluation criteria and demonstrate progress through measurable improvements and working capabilities.
• Balance hands-on engineering with the planning and coordination needed to keep complex technical work moving.
Work directly with Defence customers
• Engage with technical and operational stakeholders across the UK Defence and national security ecosystem.
• Understand operational challenges and identify where machine learning can make a meaningful difference.
• Translate customer requirements and constraints into technical objectives, datasets, experiments and delivery plans
View original listing ↗