Ai/ml engineer Work, Jobs in Blackheath, Gtl (with Salaries)

AI/ML & Prompt Engineer LLM, RAG & Voice Agent
QuantumLoopAI —London
- Full-time
- Remote
- Azure
- Master's degree
- Machine learning
Quick apply
Data Scientist – Agentic AI - Permanent UK
Satalia —London
- Remote
- Computer Science
- APIs
- AI
- Flexible schedule
AI/ML Engineer
Aivra Health —London
- £27,827.24 - £35,825.62 a year
- Azure
- Computer Science
- Master's degree
Quick apply
Software Engineering Intern
Pear VC —London
- Full-time
- AI
AI Engineer
Zero100 —London
- Full-time
- Hybrid work
- Computer Science
- Engineering
- Master's degree
- Life insurance
Quick apply
AI/ML Engineer
Future Works —London
- Remote
- Master's degree
- Agile
- AI
AI Engineer (UK)
Meltwater Group —London
- Computer Science
- Master's degree
- Bachelor's degree
- Annual leave
- Employee assistance programme
7d
AI and Machine Learning Engineer (2 Year Fixed Term Contract)
Mitsubishi Power EMEA —London
- Full-time
- Computer Science
- Engineering
- Master's degree
Quick apply
Global AI/ML Engineer Senior Manager
Boston Consulting Group —London
- £173,000 - £211,000 a year
- Full-time
- Computer Science
- DevOps
- Engineering
- Profit sharing
- Annual leave
AI Engineer
Shawbrook —London
- Full-time
- Master's degree
- Machine learning
- Agile
- Employee assistance programme
- Employee discount
AI Engineer
Xelix —London
- £65,000 - £75,000 a year
- Monday to Friday
- Hybrid work
- Master's degree
- Machine learning
- AI
- Annual leave
- Employee discount
Quick apply
14d
AI Research Engineer
Normal Computing Corporation —London
- £200,000 - £400,000 a year
- Full-time
- Hybrid work
- Doctoral degree
- Research
- Machine learning
Technical Deployment Lead
Anthropic —London
- £165,000 - £230,000 a year
- Hybrid work
- Up to 50% travel
- Bachelor's degree
- Machine learning
- Flexible schedule
8d
AI Engineer
RedCloud —London
- Hybrid work
- Machine learning
- Software development
- AI
- Annual leave
- Employee discount
Engineering Manager, Connectivity - London
Anthropic —London
- £255,000 - £325,000 a year
- Hybrid work
- Bachelor's degree
- APIs
- AI
- Flexible schedule
Forward Deployed Engineer
Linux Recruit —London
- £130,000 - £160,000 a year
- System design
Forward Deployed Engineer
Stuut —London
- £150,000 - £240,000 a year
- Full-time
- Salesforce
- AI
- Annual leave
AI/ML Computational Scientist
Accenture —London
- Full-time
- Doctoral degree
- Computer Science
- Master's degree
2026 AI/ML Research Fellow
Intuition Machines, Inc. —London
- Full-time
- Remote
- Doctoral degree
- Research
- Machine learning
Quick apply
Software Engineer (AI System)
Pangaea Data —London
- Doctoral degree
- Master's degree
- Bachelor's degree
- Flexible schedule
- Life insurance

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AI/ML & Prompt Engineer LLM, RAG & Voice Agent

QuantumLoopAI
London

Quick apply

Job details

Full-time

Qualifications

Azure
Law
Relational databases
Mentoring junior staff
Master's degree
Microservices
Machine learning
Mentoring
Multidisciplinary collaboration
AI
Communication skills
Microsoft Azure

Full job description

ABOUT QUANTUMLOOPAI

QuantumLoopAI is transforming how patients access healthcare. Our AI-powered reception system, EMMA, serves millions of patients, helping GP surgeries manage demand, reduce phone queues, and ensure patients get the right care at the right time. Backed by leading healthcare investors and working with stakeholders across England, we are building the future of primary care access. As we prepare for our Series A and expand our team, we are looking for exceptional people who want to make a genuine difference to healthcare.

ABOUT THE ROLE

As our AI/ML & Prompt Engineer, you will own the intelligence behind EMMA — the LLM and RAG systems that power our chatbot, voice agent and telephony services. You will design, build and optimise the AI models and prompt architectures that allow EMMA to understand patient needs, retrieve accurate clinical information, and respond naturally across text and voice channels. This is a hands-on, high-impact role where your work will directly shape patient outcomes across hundreds of GP surgeries.

WHAT YOU WILL DO

Architect and deploy LLM- and RAG-based systems that ingest data sources, generate accurate responses, and power both chatbot and voice agent interactions.
Design, iterate and optimise prompts and voice-agent dialogue flows to maximise response relevance, reduce latency and ensure clinical safety across text and voice channels.
Partner with frontend (Next.js, React) and backend (NestJS, Python) teams to integrate AI and voice agent components into our Azure-hosted microservices architecture.
Instrument AI and voice-agent pipelines, analyse logs and user feedback, troubleshoot edge cases, and implement continuous-learning improvements.
Stay abreast of the latest advances in LLMs, RAG, conversational AI frameworks, and (GDPR, DTAC) to inform our technical roadmap.
Define and execute rigorous test plans in collaboration with QA to validate model accuracy, voice-agent performance and compliance with healthcare standards.
Mentor junior engineers and advocate for best practices in MLOps, prompt engineering, voice-agent design and model governance.

Requirements

ESSENTIAL

Demonstrable hands-on experience with prompt engineering, LLMs (e.g. GPT, LLaMA, Mistral), RAG frameworks, and voice-agent or dialogue-system design, with shipped projects or open-source contributions.
Advanced proficiency in Python for ML/AI development.
Experience building APIs in NestJS and familiarity with Next.js/React for frontend integration.
Strong understanding of Azure services (App Services, Functions, Cognitive Services), containerisation (Docker), and relational databases (MySQL).
Experience designing microservices, distributed architectures and RESTful or GraphQL APIs.
Excellent written and verbal communication skills, with the ability to articulate complex AI and voice-agent concepts to technical and non-technical stakeholders.
Comfortable working remotely and collaborating asynchronously with a UK-based team during UK business hours (9:00 AM to 6:00 PM GMT/BST).

DESIRABLE

Contributions to open-source LLM or RAG tooling.
Experience with MLOps pipelines, model monitoring and automated evaluation frameworks.
Background in speech-to-text, text-to-speech, or telephony integration.

LOGISTICS

Education: We value skills and experience over formal qualifications.
Working arrangements: Fully remote from India, aligned to UK business hours (9:00 AM to 6:00 PM GMT/BST).
Start date: Flexible.

Benefits

WHAT WE OFFER

Competitive package depending on experience
Potential share options
Professional development including conference attendance and CPD support
Remote working with a collaborative, supportive team

HOW WE ARE DIFFERENT

At QuantumLoopAI, you will join a team that is genuinely improving primary care. We move fast, take ownership, and celebrate wins together. Our culture values:

Impact over optics. We measure success by patient outcomes, not busy work
Transparency. Open communication, honest feedback, shared context
Ownership. You will have real autonomy to shape your work and our product
Learning. We are building something new, and we learn from every experiment

DIVERSITY AND INCLUSION

We believe diverse teams build better products. We welcome applications from candidates of all backgrounds, and we are committed to creating an inclusive environment where everyone can do their best work. If you are excited about this role but do not meet every requirement, we would still love to hear from you.

RECRUITMENT SAFETY NOTICE

QuantumLoopAI will never ask candidates for payment or sensitive financial information during the recruitment process. All official communications come from @quantumloopai.com email addresses.

COME WORK WITH US

We would love to hear from you. Questions about this role? Contact [email protected]

Quick apply

Refine Your Search

ai/ml engineer jobs in blackheath, gtl

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