Hire AI Engineers in London & Remote UK
Finding the right AI engineer in today’s market feels impossible. You post a job, get flooded with CVs that look impressive on paper, and then spend weeks in interviews only to realise most candidates lack real-world AI deployment experience. Meanwhile, your product roadmap is sitting still. Whether you want to hire AI engineers in London for an on-site team, or bring in remote AI engineers who work seamlessly across time zones, the challenge is always the same: finding people who’ve actually shipped AI products, not just read about them.
Interview-ready in 48 hours
Dedicated sprint support
London timezone. Always aligned.
- No recruitment agency fees. No middlemen markups. React Native developers who've shipped real cross-platform products at scale.
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Got something in mind? Contact us any time.
What Our AI Engineers Actually Build
When you hire AI engineers through us, you’re accessing specialists with verifiable, hands-on experience across the full AI development stack. Here’s what they deliver:
Why RemoteDev
Machine Learning & Model Development
Custom ML model design, training, and fine-tuning for classification, prediction, recommendation, and anomaly detection use cases.
Generative AI & LLM Integration
Hire generative AI engineers who work with GPT-4, Claude, Gemini, Llama, and open-source models building RAG pipelines, prompt engineering systems, AI agents, and chatbot backends that actually work at scale.
AI-Powered SaaS Products
End-to-end development of AI-first SaaS platforms, from the data ingestion layer through to the user-facing dashboard. Ideal for founders building the next generation of intelligent tools.
Computer Vision Systems
Object detection, image classification, video analytics, and OCR are deployed on cloud infrastructure or edge devices, depending on your performance requirements.
NLP & Conversational AI
Intent recognition, document parsing, sentiment analysis, and multi-turn dialogue systems built with production-grade reliability.
AI DevOps & MLOps
Hire AI DevOps engineers who own the full ML deployment pipeline model versioning, A/B testing infrastructure, monitoring for model drift, CI/CD automation, and cloud infrastructure on AWS, GCP, or Azure.
AI Engineer Roles You Can Hire
Senior AI / ML Engineer
Five or more years building and shipping machine learning systems. Comfortable with PyTorch, TensorFlow, scikit-learn, and modern LLM tooling. They make technical decisions and integrate seamlessly with your product team.
Generative AI Engineer
Specialists in large language models, retrieval-augmented generation, vector databases, and agentic AI workflows. If you're building with OpenAI, Anthropic, or open-source models, this is the hire you need.
AI Research Engineer
For teams working closer to the frontier, literature-to-production pipelines, custom model architecture, RLHF implementation, and evaluation frameworks.
MLOps / AI DevOps Engineer
Owns the infrastructure layer: model serving, Kubernetes-based deployment, feature stores, experiment tracking with MLflow or W&B, and cloud cost optimisation.
Full-Stack AI Engineer
Builds from the model layer through to the frontend. Ideal for smaller teams where one engineer needs to cover backend APIs, AI integration, and the UI layer together.
Data Scientist
Exploratory analysis, statistical modelling, business intelligence tooling, and the data work that sits upstream of any production AI system.
Hiring Models: Choose What Fits Your Team
Hire a Freelance AI Engineer
Short-term engagement for a specific build, proof of concept, or sprint. All freelancers are technically vetted. No long-term commitment required.
Hire a Dedicated AI Engineer
A dedicated specialist embedded in your team, attending your standups, aligned to your processes, and accountable to your product manager daily. Works like an in-house hire, without the overhead.
Hire a Remote AI Engineering Team
For larger builds that need a complete cross-functional unit a tech lead, ML engineers, an MLOps specialist, and a QA engineer working together under a single engagement.
Why Clients Choose Us to Hire AI Engineers
Every engineer on our platform has been technically assessed against real-world AI benchmarks. Junior CVs never reach your inbox.
You receive two to four pre-screened, matched profiles within two business days of sharing your requirements.
All engineers, including our remote AI engineers, operate within GMT/BST hours. Real-time collaboration, no asynchronous delays.
A written end-of-day report keeps you informed without the need for constant check-ins.
We don't operate as a traditional recruitment agency. You get direct access to talent at transparent rates.
How the Hiring Process Works
Four steps. Under one week. First commit before you know it.
Share Your Requirements
Fill in a short brief or book a discovery call. Tell us the problem you're solving, the stack you're using, and when you need to start.
Receive Curated Profiles
Within 48 hours, we send a shortlist of matched engineers pre-screened, technically validated, and aligned to your sector.
Interview Your Shortlist
You conduct the interviews, run technical assessments, and make the final call. Always.
Start Your Project
Contracts signed, tooling set up, first commit in days. Not weeks.
Our C# Technology
Stack
AI & ML Frameworks
Languages
Generative AI Platforms
Vector Databases & Search
MLOps & Infrastructure
Data Engineering
Testimonial
Client Feedback & Reviews
Everything you need to know
Day rates for experienced AI engineers in the UK typically range from £450 to £800, depending on specialisation, seniority, and engagement model. Generative AI and LLM specialists often sit at the higher end of that range, given current demand. We provide transparent pricing during your first call, no hidden fees, and no agency markup.
Most clients receive a shortlist of two to four pre-screened profiles within 48 hours of submitting their requirements. Contracts are typically signed, and development is underway within the same working week.
Yes. Our network includes senior AI engineers based across the UK, Manchester, Edinburgh, Bristol, Birmingham, as well as fully remote specialists. All operate within GMT/BST working hours for real-time collaboration with your team.
A traditional ML engineer focuses on building and deploying supervised/unsupervised learning models, things like classifiers, recommendation engines, or forecasting systems. A generative AI engineer specialises in working with large language models, prompt engineering, retrieval-augmented generation (RAG), and AI agent frameworks. Many strong candidates have experience in both areas, and we'll match you based on exactly what your project needs.
We stand behind our placements. If a match isn't working within the first two weeks, we'll source and introduce replacement profiles at no additional cost. Our process is designed to get it right the first time, but the safety net is there if needed.
+44 7913 104587
Remotedev
Queens Road Weybridge KT13 9XE London - United Kingdom
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Got something in mind? Contact us any time.
