Senior software engineer applied ai Work, Jobs in Windsor, Brk (with Salaries)

Senior Software Engineer - Applied AI
CoMind —London
- £94,000 - £120,000 a year
- Full-time
- Machine learning
- Software development
- AI
- Employee discount
22h
Senior Full-Stack Software Engineer, AI Core
Circle.so —London
- £130,000 - £140,000 a year
- Remote
- English
- Master's degree
- AI
- Annual leave
7d
Applied AI Engineer
Revolut —London
- SQL
- Maths
- AI
Senior Product Engineer (AI)
Plain —London
- £90,000 - £140,000 a year
- Full-time
- Hybrid work
- Master's degree
- Machine learning
- APIs
Senior Product Engineer
Ankar —London
- £160,000 - £300,000 a year
- Full-time
- Hybrid work
- Travel
- No travel
Senior AI Engineer
Futurice —London
- £60,000 - £90,000 a year
- Remote
- Mentoring
- AI
Senior Applied AI Engineer
Xapien —London
- Full-time
- Hybrid work
- Master's degree
- AI
- Life insurance
Senior Software Engineer - QuantumBlack, AI by McKinsey
McKinsey & Company —London
- Doctoral degree
- Computer Science
- Master's degree
Senior Lead Agentic AI Engineer – Construction & Engineering
IFS —Staines-upon-Thames
- Full-time
- Computer Science
- Engineering
- Master's degree
Quick apply
1d
Senior Software Engineer, Python (IPLM)
Perforce —Bracknell
- Full-time
- Hybrid work
- Scripting
- Software development
- AI
- Life insurance
Software Engineer, AI (Level determined by experience)
Synack —London
- Remote
- AI
- Python
Quick apply
Applied AI - Member of Technical Staff
Callosum —London
- £101,000 - £192,000 a year
- Full-time
- Master's degree
- AI
Quick apply
Head of AI Engineering at AIOS — Remote, $200-$400k/yr + equity
AIOS (YC W20/S21) —London
- £200,000 - £400,000 a year
- Full-time
- Remote
- Computer Science
- Bachelor's degree
- AI
- Annual leave
14d
Forward Deployed Solution Engineer – Applied AI FDE
ServiceNow —London
- Full-time
- Hybrid work
- Master's degree
- Travel
- Agile
Quick apply
AI and Digital Solutions Engineer
TrustFlight —Bracknell
- Full-time
- Hybrid work
- Computer Science
- Master's degree
- APIs
Quick apply
Applied AI Strategist
Satalia —London
- Remote
- Machine learning
- Mentoring
- AI
- Flexible schedule
14d
Senior Backend Engineer, Integrations - 100% Remote - EMEA
Hostaway —London
- Full-time
- Remote
- APIs
- AI
- Annual leave
Quick apply
6d
Senior Applied AI & ML Engineer - Evinova
AstraZeneca —London
- Doctoral degree
- AI
8d
Senior AI Engineer
Reward Gateway —London
- £80,000 - £90,000 a year
- Full-time
- Hybrid work
- Master's degree
- AWS
- AI
- Employee discount
Forward Deployed Engineer, Applied AI
Snowflake —London
- Full-time
- SQL
- Communication skills
- Analytics
7d

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Senior Software Engineer - Applied AI

CoMind -
London

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Job details

Full-time
£94,000 - £120,000 a year
22 hours ago

Benefits

Private dental insurance
Unlimited paid holidays
Company pension
Employee discount

Qualifications

Technical troubleshooting
Performance tuning
Cloud infrastructure
Law
CI/CD pipelines
Machine learning
Continuous integration
Software development
Multidisciplinary collaboration
AI
Raspberry Pi

Full job description

At CoMind, we are developing a non-invasive neuromonitoring technology that will result in a new era of clinical brain monitoring. In joining us, you will be helping to create cutting-edge technologies that will improve how we diagnose and treat brain disorders, ultimately improving and saving the lives of patients across the world.

The Role:

You will build the platform that transforms raw neuro-signals into longitudinal patient insights, effectively defining the new standard of care in neuro-critical settings.

As a Senior Software Engineer within the CoVision project, you will play a central role in developing, maintaining, and optimising the Large Language Model software deriving actionable intelligence in our fleet of neuromonitoring products. You will bridge the gap between advanced AI research and production-ready, regulated medical software, ensuring software reliability across our deployed fleet.

At CoMind, all team members work at least 4 days per week from our new Kings Cross offices, plus a flexible work-from-home day.

Responsibilities:

AI Integration: Integrate an on-device LLM into the CoMind One system, connecting it to live neuromonitoring signals and building the query and response layer clinicians interact with.
Model Evaluation & Reliability: Own how we measure whether the model answers the right clinical questions correctly and consistently. Build the evaluation, prompting and guard-rail approaches that keep output safe to show at the bedside.
Systems Performance: Optimise inference performance on constrained on-device hardware, managing latency, memory and throughput within the CoMind One system.
Medical Device Software Development: Design and develop medical device software to IEC 62304 and ISO 14971, from real-time on-device behaviour through to the interfaces clinicians touch.
Compliance & Cybersecurity: Ensure AI deployments meet cybersecurity requirements and regulatory standards, including FDA guidance for AI/ML-enabled devices.
Reliability & Collaboration: Keep the deployed fleet reliable, and work directly with hardware, product and clinical teams to diagnose and resolve issues quickly.
AI is fundamental to our culture — it's not just a tool, but a core part of how we work, collaborate, and innovate. We expect all team members to embrace AI in their daily work and continuously find new ways to use it effectively.

Skills & Experience:

7+ years of hands-on software engineering.
Comfortable working in C++, with Python alongside it.
Practical experience using LLMs as an applied tool: prompting, guardrails, RAG, evaluation, and reasoning about model behaviour.
You've built, or extended a model and integrated it meaningfully into a real product, close to the surface users actually touch.
Experience integrating third-party libraries or complex components into a larger system, ideally performance-sensitive or resource-constrained.
Comfortable reasoning about performance: latency, memory and throughput on constrained hardware.
Strong with Git and CI/CD.

Nice to have

Edge / on-device AI: running models on constrained hardware such as Jetson, Android, iPad, Raspberry Pi or microcontrollers.
Hands-on with llama.cpp or similar, and evaluating small on-device models (e.g. Qwen, Gemma, MedGemma, custom).
Some hardware exposure: anyone doing genuine edge AI tends to have this.
Cloud experience (AWS), particularly running LLMs in a cloud environment.
A background in a regulated or safety-critical industry

Benefits:

Company equity plan so all employees share in the success of the company
Salary-sacrifice pension scheme
Private medical, dental and vision insurance (medical history disregarded)
Group life assurance at 4x annual income
Comprehensive mental health support, including unlimited access to 1:1 sessions with trained professionals
Unlimited holiday allowance (+ bank holidays) and one week of remote working per quarter
Lunch voucher (£10) every day for JustEat and free dinner on those days where you need to work later
Twice weekly deliveries of fresh fruit and an extensive selection of snacks and drinks
YuLife subscription, allowing you to turn your daily steps and meditation into discounts at a range of stores

DISCLAIMER - We use AI notetaking tools to transcribe interviews for internal review. By proceeding, you consent to this. Let us know if you'd prefer we don't.

Compensation Range: £94K - £120K

Apply Now

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senior software engineer applied ai jobs in windsor, brk

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