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 ❯
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 ❯
the stack. Key Qualifications Strong proficiency in Python and React/TypeScript; experience with Java is a plus. Hands-on experience building and deploying LLM-based systems (e.g., OpenAI, HuggingFace Transformers, LangChain, etc.). Deep understanding of AI application architecture, including RAG systems, vector databases, prompt engineering, and fine-tuning. Experience with ML model serving, SDK development More ❯
quantization, and retrieval-augmented generation What we’re looking for: 4+ years experience in ML/AI engineering (LLMs, transformers, generative models) Strong Python skills and experience with PyTorch, HuggingFace, or similar frameworks Proven track record in latency optimization (e.g. batching, quantization, caching strategies) Familiarity with hallucination mitigation techniques (e.g. RAG, chain-of-thought, fact-checking) Bonus 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 ❯
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 ❯
aggregation, efficient (pre-)processing, etc. Experience with time-series data, including storage and management. A strong understanding through the usage of machine learning frameworks (TenserFlow, PyTorch, sci-kit-learn, Huggingface). Ability to work with analytical teams to build dashboards that prove the value of the machine learning capabilities as we deliver models to our production environments. Desirable: Experience working 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 ❯
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 ❯
ideally have a strong academic foundation which has progressed into applied AI where you will be working with a plethora of technologies/projects including; MLFlow, Vertex AI and HuggingFace Python Agentic AI This is a client facing role where you will act as a consultant on AI transformation for the end client. This will be mostly remote but they More ❯
outcomes through effective use of data. We find that one of the biggest problems experienced by our clients today is being overwhelmed with the amount of data that they face and not knowing how to leverage it to their advantage. The vast landscape of available technology stacks and models means that choosing the right ones can be a daunting … and EKS You'll build CI/CD pipelines using GitHub Actions, Jenkins, and AWS CodePipeline for deploying traditional ML, GenAI models, and AI agents Deploying LLMs (e.g., via Huggingface) and construct AI agent workflows using tools like LangChain, LangGraph, and custom orchestrators Your expertise will help reduce cloud costs with GPU acceleration, auto-scaling, and spot instances To implement More ❯
