51 to 75 of 75 TensorFlow Jobs in the City of London

this could be a great fit. Join the team to make a difference today. London - 2 - 3 days onsite Salaries - £75 - 100k Senior Data Scientist - ML, Python, SQL, PyTorch, TensorFlow, GCP If this is of interest please apply or reach out to will.semple@oliverbernard.com. More ❯

in those who thrive in pushing the boundaries of what’s possible. Nice to have experience in: Reinforcement learning Large Language Models (LLMs) Optimisation methods Deep learning frameworks (e.g., TensorFlow, PyTorch) Applied AI research at scale What’s on offer: Hybrid remote work with offices in Cambridge or London The chance to publish and share your work with the More ❯

lead architecture, code reviews, and deployment Work with DevOps, product, and data teams to deliver production-ready solutions What you’ll need: Strong Python and experience with PyTorch or TensorFlow Solid understanding of REST APIs, CI/CD, Docker, Kubernetes, and AWS Proven delivery of NLP/OCR projects with unstructured data Experience managing or mentoring engineers Bonus points More ❯

and retrieval mechanisms using Pinecone, Weaviate, FAISS, Milvus, ChromaDB, or OpenSearch. Required skills & experience: 3-5+ years in machine learning and software development Proficient in Python, PyTorch or TensorFlow or Hugging Face Transformers Experience with RAG, LLM fine-tuning, and expertise in AWS and cloud-native AI deployments. Full-stack experience (React, TypeScript, Node.js) and API development. Familiarity More ❯

a related field. Demonstrated success shipping LLM-based products (GPT, Llama, Mistral, or similar) or conversational AI systems into production. Deep knowledge of modern ML/NLP frameworks (PyTorch, TensorFlow, JAX) and orchestration stacks (LangChain, LlamaIndex, vector databases). Proven track record driving AI governance, model risk management, and compliance within regulated sectors (healthcare, med-tech, pharma, fintech, etc. More ❯

SystemC, custom in-house). Solid grasp of computer-architecture fundamentals: memory systems, interconnects, queuing theory, Amdahl/Gustafson analysis. Familiarity with machine-learning workloads and common frameworks (PyTorch, TensorFlow, JAX). Comfort reading RTL or schematics and discussing micro-architectural trade-offs with hardware designers. Excellent data-visualisation and communication skills: able to turn millions of simulation samples More ❯

SystemC, custom in-house). Strong grasp of computer-architecture fundamentals: memory systems, interconnects, queuing theory, Amdahl/Gustafson analysis. Familiarity with machine-learning workloads and common frameworks (PyTorch, TensorFlow, JAX). Comfort reading RTL or schematics and discussing micro-architectural trade-offs with hardware designers. Excellent data-visualisation and communication skills: able to turn millions of simulation samples More ❯

building production -grade AI pipelines, including data ingestion, feature engineering, validation, model deployment, and monitoring . Proficient in a major backend language and related ML/AI libraries (e.g. Tensorflow & PyTorch , etc), with a preference for Go. Experience with an MLOps platform like Kubeflow. Demonstrated ability to transition models from prototyp e to production . Experience assessing various AI More ❯

fine-tuning , including frameworks like Hugging Face, LangChain, or custom pipelines. Deep technical understanding of biometric security systems and privacy-aware architecture. Strong Python/ML stack (e.g., PyTorch, TensorFlow, Scikit-learn). Experience building real-time AI systems in production environments . Exposure to Agentic AI concepts or multi-agent systems is a strong plus. Due to the More ❯

vision and language models, ideally for identifying cyber threats (URLs, domains, phishing, botnets, etc.) Proficient in a major backend language (ideally Golang) and related ML/AI libraries (e.g. Tensorflow & PyTorch, etc.) Experience with an MLOps platform like Kubeflow. Demonstrated ability to transition models from prototype to production. Experience assessing various AI/ML technologies and models for fit More ❯

of senior applied scientists Essential Skills: Formal training in machine learning and computer vision Coding experience in python Experience working with at least one deep learning framework (pytorch or tensorflow) A strong willingness to learn Highly collaborative mindset A strong interest for a product-centric organization Desirable Skills: Working knowledge of cloud computing (preferably AWS) and tools and technologies More ❯

for high-performance computing (HPC). Experience with profiling tools (e.g., NVIDIA Nsight, gdb, perf) and performance tuning in a GPU environment. Experience working with deep learning frameworks (e.g., TensorFlow, PyTorch) or similar ML frameworks is a plus. Strong problem-solving skills and a keen interest in optimizing systems for ML workloads. A passion for machine learning, AI, and More ❯

of parallel processing programming • Solid grasp of the software development lifecycle • Familiarity with standard developing organizations (SDOs) Nice to Have Skills: • Experience with visual quality assessment techniques • Knowledge of TensorFlow , Generative AI , or media indexing • Background in contributing to patents or published research • Experience with standards organisations and conference presentations • Comfortable with Agile workflows , JIRA, and Git version control More ❯

development. • Experience with parallel processing programming. • Understanding of standardization processes and standard-developing organizations (SDOs). Beneficial to have: • Knowledge of objective Visual Quality (VQ) assessment techniques. • Experience with TensorFlow, visual AI (e.g., media indexing), and/or multimodal Generative AI. • Experience in Intellectual Property development. • Experience presenting research findings at conferences and within video-centric forums. • Contribution to More ❯

building and fine tuning LLM solutions in an applied environment. To provide a snapshot of the experience they are looking for, Conversational AI – NLP LangChain, LangGraph & RAG Pytorch/Tensorflow You will ideally come from a financial services background but this is not an absolute requirement. They work in a hybrid model with 1-2 days a week in More ❯

ll Need Experience leading AI or ML teams (ideally in robotics or autonomous systems) Deep knowledge of CV, deep learning, RL or SLAM Strong Python and ML stack (PyTorch, TensorFlow, etc.) Startup mindset: hands-on, agile, and impact-driven Why Join Us Big ownership, fast growth, real impact Competitive salary + equity Hybrid working with an awesome London HQ More ❯

within financial services with a strong background in machine learning or a related field. Proficiency in Python/R and experience with deep learning frameworks such as PyTorch or TensorFlow will also be required. Want to join? Get in touch. Salary and total compensation is purely based on performance of your models and the overall business – we can discuss More ❯

Role: Data Engineer Tech stack: Python, SQL, AWS, data processing frameworks (e.g. Airflow, Tensorflow) Salary: £40,000–£70,000 + big equity Location: London (on site) This fast-growing team is addressing a real-world challenge that's impacted a huge number of people across the UK - especially those balancing work with study or other commitments, born out of More ❯

embodied systems (AI) & reinforcement learning) Comfort collaborating across functions, especially with engineering, hardware, and system design teams Solid programming and prototyping skills using modern deep learning frameworks (e.g. PyTorch, TensorFlow, JAX) Location: London (hybrid, with 4 days onsite and flexible hours) This is a high-impact role for someone who thrives on building ambitious technology in a fast-paced More ❯

Machine Learning Engineer 18 month project, 6 month rolling contracts. Rate negotiable but upwards of 600 p/d. Looking for people with the following skillset: Python, Pytorch, Tensorflow, Langgraph, Langchain, CrewAI, LlamaIndex etc ML Ops VertexAI Prompt Engineering 1st of July start date. Apply through this advert or email jack.herbert@oliverbernard.com for more info. More ❯

trained YOLO models. Key responsibilities include: Designing and implementing mobile applications using Flutter for both iOS and Android platforms. Integrating and optimizing Apple CoreML YOLO models for iOS and TensorFlow Lite and Tencent NCNN YOLO models for Android. Ensuring high performance and responsiveness of the applications for real-time AI processing. Collaborating with cross-functional teams to define, design … native mobile development for iOS and Android. Familiarity with machine learning and computer vision models, particularly YOLO models. Experience with iOS frameworks such as CoreML, and Android frameworks like TensorFlow Lite and Tencent NCNN. Excellent problem-solving skills and the ability to perform in a fast-paced, high-intensity environment. Strong communication skills to effectively collaborate with multi-disciplinary More ❯

Requirements Proven experience in AI, machine learning, or computational design within a design, architecture, or creative industry context Strong technical skills across key AI platforms and tools (e.g., Python, TensorFlow, Midjourney, Gemini, Claude, ChatGPT, Stable Diffusion) Clear communicator, able to translate technical concepts to non-technical audiences Demonstrated experience implementing AI-driven change in a creative or collaborative environment More ❯

SQLite). Proficiency with containerisation technologies. Experience building simple desktop applications using Wails, Electron, or Tauri. Familiarity with edge/fog computing principles. Familiarity with ML frameworks (e.g., Gorgonia, TensorFlow, ONNX) or prior exposure to integrating pre-trained models via API or runtime interfaces. Practical experience or strong knowledge of IoT and robotics is advantageous. Benefits: High competitive salary. More ❯

scalable user interactions Essential Qualifications: Experience with real-time protocols (eg. WebSockets gRPC, MQTT, SSE or similar) Experience with implementing on-device machine learning (eg. PyTorch Mobile, ML Kit, TensorFlow Lite) Strong understanding of Android performance: lifecycle, coroutines, memory, and threading Familiarity with edge-friendly architecture: offline-first, sync queues, reactive flows Comfort working in fast-paced, zero-legacy More ❯

🚀 Machine Learning Engineer – Robotic Manipulation | Cutting-Edge Space Tech | Equity Opportunity 🌌 Location: Hybrid (UK-based) Salary: Competitive + Equity Join a stealth-mode innovator at the forefront of autonomous robotics, building next-gen systems that operate in the most extreme More ❯