76 to 100 of 117 TensorFlow Jobs in Central London

expertise in the full lifecycle of machine learning, from model development and deployment to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications More ❯

Azure, or Google Cloud). Strong analytical mindset with the ability to translate complex data insights into clear business impact. Working knowledge of machine learning and advanced analytics (e.g., TensorFlow, PyTorch, Scikit-learn). Exceptional stakeholder management skills, comfortable engaging with C-suite executives and senior investors. Strong knowledge of data governance and compliance frameworks (GDPR, CCPA). Thrive More ❯

Azure, or Google Cloud). Strong analytical mindset with the ability to translate complex data insights into clear business impact. Working knowledge of machine learning and advanced analytics (e.g., TensorFlow, PyTorch, Scikit-learn). Exceptional stakeholder management skills, comfortable engaging with C-suite executives and senior investors. Strong knowledge of data governance and compliance frameworks (GDPR, CCPA). Thrive More ❯

Key Skills & Experience: 5+ years of experience within AI/ML Engineer Strong background in AI/ML Engineering Python expertise Knowledge of ML libraries such a PyTorch or TensorFlow Cloud platform experience (AWS, Azure or GCP) Experience working in production environments, shipping and building products This role is a hybrid role with 2-days a week required in More ❯

Key Skills & Experience: 5+ years of experience within AI/ML Engineer Strong background in AI/ML Engineering Python expertise Knowledge of ML libraries such a PyTorch or TensorFlow Cloud platform experience (AWS, Azure or GCP) Experience working in production environments, shipping and building products This role is a hybrid role with 2-days a week required in More ❯

Requirements: PhD or equivalent experience in ML, AI, CS, physics, or mathematics Strong publication record (NeurIPS, ICML, ICLR, etc.) Proficient in Python, C++, and deep learning frameworks (e.g., PyTorch, TensorFlow) Solid grasp of ML techniques; independent and team-oriented mindse Preferred: Experience in LLMs, reinforcement learning, or chip design Familiarity with JAX and optimization frameworks Why Join Us: Work More ❯

Requirements: PhD or equivalent experience in ML, AI, CS, physics, or mathematics Strong publication record (NeurIPS, ICML, ICLR, etc.) Proficient in Python, C++, and deep learning frameworks (e.g., PyTorch, TensorFlow) Solid grasp of ML techniques; independent and team-oriented mindse Preferred: Experience in LLMs, reinforcement learning, or chip design Familiarity with JAX and optimization frameworks Why Join Us: Work More ❯

mindset and stakeholder collaboration skills Excellent management capability Strong commercial ability 7+ years in data/AI roles, with 5+ years in leadership Ability with Python, SQL, ML frameworks (TensorFlow, PyTorch) Deep knowledge of LLMs, forecasting, and modern data stacks Background in data insights, media or trend forecasting is a bonus Why apply? You'll join a high-impact More ❯

capability Remote first model Experience: Master’s degree in a Computing or AI-related discipline Strong Python skills and experience with machine learning or LLM frameworks (such as PyTorch, TensorFlow, or Hugging Face) Enthusiasm for building AI systems from the ground up in a small, ambitious team This is a chance to be part of a cutting-edge AI More ❯

AI (recommendation systems, data mining, or similar). Proven track record of building or deploying GenAI/LLM systems into production. Strong Python skills, with experience in PyTorch or TensorFlow . Understanding of MLOps practices (evaluation, monitoring, scaling). Master’s (or equivalent experience) in Computer Science, AI, ML, or related field. ⭐ Bonus points for: experience designing annotation schemas More ❯

AI (recommendation systems, data mining, or similar). Proven track record of building or deploying GenAI/LLM systems into production. Strong Python skills, with experience in PyTorch or TensorFlow . Understanding of MLOps practices (evaluation, monitoring, scaling). Master’s (or equivalent experience) in Computer Science, AI, ML, or related field. ⭐ Bonus points for: experience designing annotation schemas More ❯

testing, IaC Influence technical direction and mentor other engineers Work cross-functionally to translate AI strategy into measurable business outcomes What you bring Expert Python — LangChain, Semantic Kernel, PyTorch, TensorFlow Hands-on cloud delivery — Azure/AWS, Terraform, ECS Proven experience building RAG/MCP architectures 5+ years in applied ML or AI engineering roles Send us your profile More ❯

and Confluence (or similar). Able to work from design to implementation and back efficiently. Strong teamwork, communication, and problem-solving skills. Nice to Have: Experience with PyTorch or TensorFlow for AI-based perception or control. Exposure to distributed, embedded, or real-time systems. Knowledge of simulation tools like Gazebo or RViz. Experience with GPU programming (CUDA/OpenCL More ❯

and Confluence (or similar). Able to work from design to implementation and back efficiently. Strong teamwork, communication, and problem-solving skills. Nice to Have: Experience with PyTorch or TensorFlow for AI-based perception or control. Exposure to distributed, embedded, or real-time systems. Knowledge of simulation tools like Gazebo or RViz. Experience with GPU programming (CUDA/OpenCL 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 ❯

prototype cutting-edge AI techniques (e.g., deep learning, reinforcement learning, generative models). Support continuous model improvement and scalable MLOps deployment pipelines. TECH STACK/REQUIREMENTS Core Skills: Python, TensorFlow/PyTorch, scikit-learn, OpenCV, NumPy, Pandas Experience With: Model training, tuning, and deployment in production environments Preferred: Sports data analytics, time-series forecasting, or computer vision experience Infrastructure … analytics TO BE CONSIDERED... Please apply directly by emailing jordanna.ramsey@searchability.com with your CV and availability. KEYWORDS: AI Engineer, Machine Learning Engineer, Sports Analytics, Computer Vision, Deep Learning, Python, TensorFlow, PyTorch, MLOps, Data Science, Predictive Modelling, Sports Tech, AI in Sports More ❯

prototype cutting-edge AI techniques (e.g., deep learning, reinforcement learning, generative models). Support continuous model improvement and scalable MLOps deployment pipelines. TECH STACK/REQUIREMENTS Core Skills: Python, TensorFlow/PyTorch, scikit-learn, OpenCV, NumPy, Pandas Experience With: Model training, tuning, and deployment in production environments Preferred: Sports data analytics, time-series forecasting, or computer vision experience Infrastructure … analytics TO BE CONSIDERED... Please apply directly by emailing jordanna.ramsey@searchability.com with your CV and availability. KEYWORDS: AI Engineer, Machine Learning Engineer, Sports Analytics, Computer Vision, Deep Learning, Python, TensorFlow, PyTorch, MLOps, Data Science, Predictive Modelling, Sports Tech, AI in Sports More ❯

equivalent experience in 3D graphics or ML systems. Strong in C Python, 3D graphics pipelines, inverse rendering, and geometry processing. Experience with GPU programming (OpenGL, CUDA, Vulkan), PyTorch/TensorFlow, and real-time engines (Unity/Unreal). Solid grasp of optimization, linear algebra, computer vision, and numerical methods. Skilled in multithreading, memory management, and profiling for high-performance More ❯

equivalent experience in 3D graphics or ML systems. Strong in C Python, 3D graphics pipelines, inverse rendering, and geometry processing. Experience with GPU programming (OpenGL, CUDA, Vulkan), PyTorch/TensorFlow, and real-time engines (Unity/Unreal). Solid grasp of optimization, linear algebra, computer vision, and numerical methods. Skilled in multithreading, memory management, and profiling for high-performance More ❯

small as they want people to have a major say and influence on projects. Technical Skills: Python - strong knowledge required Experience working across a range of ML models, e.g. TensorFlow and scikit-learn Commercial experience working on short-term forecasting markets, across either energy, power or financial markets. GitHub or Azure DevOps knowledge is desired SQL knowledge is desired More ❯

small as they want people to have a major say and influence on projects. Technical Skills: Python - strong knowledge required Experience working across a range of ML models, e.g. TensorFlow and scikit-learn Commercial experience working on short-term forecasting markets, across either energy, power or financial markets. GitHub or Azure DevOps knowledge is desired SQL knowledge is desired More ❯

systems (MSc/PhD or equivalent experience). Hands-on experience building or deploying agentic AI or multi-agent systems. Proficiency in Python and modern AI frameworks (e.g. PyTorch, TensorFlow, LangChain, Hugging Face). Familiarity with LLM fine-tuning, reasoning, or retrieval-augmented generation (RAG). Desirable: Experience with AI orchestration, workflow automation, or public-sector technology projects. Knowledge More ❯

systems (MSc/PhD or equivalent experience). Hands-on experience building or deploying agentic AI or multi-agent systems. Proficiency in Python and modern AI frameworks (e.g. PyTorch, TensorFlow, LangChain, Hugging Face). Familiarity with LLM fine-tuning, reasoning, or retrieval-augmented generation (RAG). Desirable: Experience with AI orchestration, workflow automation, or public-sector technology projects. Knowledge More ❯

ML Engineers Requirements PhD (or equivalent) in Computer Vision, Machine Learning, or related field. Proven record deploying large-scale CV models in production. Strong Python skills with PyTorch or TensorFlow expertise. Deep understanding of modern CV architectures, especially LVMs and Transformers. Experience with multimodal data (images, video, text) and MLOps workflows. Hands-on, self-directed, evidence-driven, and collaborative More ❯

ML Engineers Requirements PhD (or equivalent) in Computer Vision, Machine Learning, or related field. Proven record deploying large-scale CV models in production. Strong Python skills with PyTorch or TensorFlow expertise. Deep understanding of modern CV architectures, especially LVMs and Transformers. Experience with multimodal data (images, video, text) and MLOps workflows. Hands-on, self-directed, evidence-driven, and collaborative More ❯