City of London, London, United Kingdom Hybrid / WFH Options
Digital Waffle
a modern, scalable cloud-native product Design and implement new architecture using AWS microservices, PostgreSQL, Node.js, React, and TypeScript Use AI-assisted tools such as OpenAI, LangChain, Claude, or HuggingFace to enhance efficiency, code quality, and testing Establish clean engineering practices, including CI/CD, automation, and testing frameworks Work closely with product and technical leadership to More ❯
a modern, scalable cloud-native product Design and implement new architecture using AWS microservices, PostgreSQL, Node.js, React, and TypeScript Use AI-assisted tools such as OpenAI, LangChain, Claude, or HuggingFace to enhance efficiency, code quality, and testing Establish clean engineering practices, including CI/CD, automation, and testing frameworks Work closely with product and technical leadership to More ❯
ideally including postgraduate study Hands-on experience bringing ML systems from research through to live deployment Strong Python programming skills and experience with libraries such as PyTorch, TensorFlow, or HuggingFace Good understanding of infrastructure and deployment, ideally in cloud environments such as AWS Exposure to areas such as time-series modelling, optimisation, computer vision, or reinforcement learning More ❯
ideally including postgraduate study Hands-on experience bringing ML systems from research through to live deployment Strong Python programming skills and experience with libraries such as PyTorch, TensorFlow, or HuggingFace Good understanding of infrastructure and deployment, ideally in cloud environments such as AWS Exposure to areas such as time-series modelling, optimisation, computer vision, or reinforcement learning More ❯
ideally including postgraduate study Hands-on experience bringing ML systems from research through to live deployment Strong Python programming skills and experience with libraries such as PyTorch, TensorFlow, or HuggingFace Good understanding of infrastructure and deployment, ideally in cloud environments such as AWS Exposure to areas such as time-series modelling, optimisation, computer vision, or reinforcement learning More ❯
ideally including postgraduate study Hands-on experience bringing ML systems from research through to live deployment Strong Python programming skills and experience with libraries such as PyTorch, TensorFlow, or HuggingFace Good understanding of infrastructure and deployment, ideally in cloud environments such as AWS Exposure to areas such as time-series modelling, optimisation, computer vision, or reinforcement learning More ❯
ideally including postgraduate study Hands-on experience bringing ML systems from research through to live deployment Strong Python programming skills and experience with libraries such as PyTorch, TensorFlow, or HuggingFace Good understanding of infrastructure and deployment, ideally in cloud environments such as AWS Exposure to areas such as time-series modelling, optimisation, computer vision, or reinforcement learning More ❯
ideally including postgraduate study Hands-on experience bringing ML systems from research through to live deployment Strong Python programming skills and experience with libraries such as PyTorch, TensorFlow, or HuggingFace Good understanding of infrastructure and deployment, ideally in cloud environments such as AWS Exposure to areas such as time-series modelling, optimisation, computer vision, or reinforcement learning More ❯
london (city of london), south east england, united kingdom
Xcede
ideally including postgraduate study Hands-on experience bringing ML systems from research through to live deployment Strong Python programming skills and experience with libraries such as PyTorch, TensorFlow, or HuggingFace Good understanding of infrastructure and deployment, ideally in cloud environments such as AWS Exposure to areas such as time-series modelling, optimisation, computer vision, or reinforcement learning More ❯
london (city of london), south east england, united kingdom
Xcede
ideally including postgraduate study Hands-on experience bringing ML systems from research through to live deployment Strong Python programming skills and experience with libraries such as PyTorch, TensorFlow, or HuggingFace Good understanding of infrastructure and deployment, ideally in cloud environments such as AWS Exposure to areas such as time-series modelling, optimisation, computer vision, or reinforcement learning More ❯
teams to ensure what gets built actually lands well What they’re looking for: • Hands-on LLM experience beyond prototyping/notebooks • Strong Python and experience with PyTorch/HuggingFace/similar tooling • Experience deploying models into production (not just training them) • Familiarity with vector stores and RAG patterns • Comfortable operating in a hybrid environment and speaking More ❯
teams to ensure what gets built actually lands well What they’re looking for: • Hands-on LLM experience beyond prototyping/notebooks • Strong Python and experience with PyTorch/HuggingFace/similar tooling • Experience deploying models into production (not just training them) • Familiarity with vector stores and RAG patterns • Comfortable operating in a hybrid environment and speaking More ❯
teams to ensure what gets built actually lands well What they’re looking for: • Hands-on LLM experience beyond prototyping/notebooks • Strong Python and experience with PyTorch/HuggingFace/similar tooling • Experience deploying models into production (not just training them) • Familiarity with vector stores and RAG patterns • Comfortable operating in a hybrid environment and speaking More ❯
london (city of london), south east england, united kingdom
NearTech Search
teams to ensure what gets built actually lands well What they’re looking for: • Hands-on LLM experience beyond prototyping/notebooks • Strong Python and experience with PyTorch/HuggingFace/similar tooling • Experience deploying models into production (not just training them) • Familiarity with vector stores and RAG patterns • Comfortable operating in a hybrid environment and speaking More ❯
SR2 | Socially Responsible Recruitment | Certified B Corporation™
commercial teams to bring ideas to life What they’re looking for: 1–3 years’ experience in applied ML/AI (or equivalent projects) Strong Python skills with PyTorch, HuggingFace or scikit-learn Experience experimenting with LLMs (fine-tuning, embeddings, prompt chaining etc.) A passion for turning messy real-world data into something powerful and production-ready More ❯
SR2 | Socially Responsible Recruitment | Certified B Corporation™
commercial teams to bring ideas to life What they’re looking for: 1–3 years’ experience in applied ML/AI (or equivalent projects) Strong Python skills with PyTorch, HuggingFace or scikit-learn Experience experimenting with LLMs (fine-tuning, embeddings, prompt chaining etc.) A passion for turning messy real-world data into something powerful and production-ready More ❯
SR2 | Socially Responsible Recruitment | Certified B Corporation™
commercial teams to bring ideas to life What they’re looking for: 1–3 years’ experience in applied ML/AI (or equivalent projects) Strong Python skills with PyTorch, HuggingFace or scikit-learn Experience experimenting with LLMs (fine-tuning, embeddings, prompt chaining etc.) A passion for turning messy real-world data into something powerful and production-ready More ❯
london (city of london), south east england, united kingdom
SR2 | Socially Responsible Recruitment | Certified B Corporation™
commercial teams to bring ideas to life What they’re looking for: 1–3 years’ experience in applied ML/AI (or equivalent projects) Strong Python skills with PyTorch, HuggingFace or scikit-learn Experience experimenting with LLMs (fine-tuning, embeddings, prompt chaining etc.) A passion for turning messy real-world data into something powerful and production-ready More ❯
and writing feature/unit tests Ability to refactor legacy applications using modern standards Desirable Skills Experience with React or Vue.js Familiarity with AI tools/APIs (e.g., OpenAI, HuggingFace) Exposure to CI/CD pipelines Experience with Meilisearch and WebSockets More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Recvia
and writing feature/unit tests Ability to refactor legacy applications using modern standards Desirable Skills Experience with React or Vue.js Familiarity with AI tools/APIs (e.g., OpenAI, HuggingFace) Exposure to CI/CD pipelines Experience with Meilisearch and WebSockets More ❯
understand large and fast-moving websites. The company has raised a $1.8m pre-seed from tier-1 seed investors and angels who have backed companies like Figma, Revolut, Notion, HuggingFace, Vercel, and Wise. Fruitful aims to address the challenges of understanding software in a world of infinite software where code is not written by humans. Fruitful's More ❯
to monitoring models in production Strong understanding of neural networks, CNNs, RNNs, LSTMs, and transformers Experience building automated data pipelines Hands-on experience with LLM tooling and libraries (e.g., HuggingFace Transformers/PEFT, tokenisers, spaCy or similar) Experience shipping NLP systems: prompt engineering, fine-tuning (e.g., LoRA/PEFT), vector search, and RAG-based services Great knowledge More ❯
to monitoring models in production Strong understanding of neural networks, CNNs, RNNs, LSTMs, and transformers Experience building automated data pipelines Hands-on experience with LLM tooling and libraries (e.g., HuggingFace Transformers/PEFT, tokenisers, spaCy or similar) Experience shipping NLP systems: prompt engineering, fine-tuning (e.g., LoRA/PEFT), vector search, and RAG-based services Great knowledge More ❯
to monitoring models in production Strong understanding of neural networks, CNNs, RNNs, LSTMs, and transformers Experience building automated data pipelines Hands-on experience with LLM tooling and libraries (e.g., HuggingFace Transformers/PEFT, tokenisers, spaCy or similar) Experience shipping NLP systems: prompt engineering, fine-tuning (e.g., LoRA/PEFT), vector search, and RAG-based services Great knowledge More ❯
london (city of london), south east england, united kingdom
Glite Tech
to monitoring models in production Strong understanding of neural networks, CNNs, RNNs, LSTMs, and transformers Experience building automated data pipelines Hands-on experience with LLM tooling and libraries (e.g., HuggingFace Transformers/PEFT, tokenisers, spaCy or similar) Experience shipping NLP systems: prompt engineering, fine-tuning (e.g., LoRA/PEFT), vector search, and RAG-based services Great knowledge More ❯
