226 to 250 of 351 TensorFlow Jobs in London

related to AI/ML and serverless computing. Proficiency in JavaScript, TypeScript, Node.js, React.js, and Express.js for building full-stack applications. Experience with AI/ML frameworks such as TensorFlow, PyTorch, OpenAI API, or LangChain. Knowledge of microservices architecture, containerization (Docker, Kubernetes), and event-driven patterns. Strong understanding of API design, including REST, GraphQL, and WebSockets. Familiarity with DevOps More ❯

s degree (or equivalent) in Computer Science, Machine Learning, or a related field. 3+ years of experience deploying ML models in production. Proficient in Python and ML frameworks (e.g., TensorFlow, PyTorch). Experience working with cloud platforms and containerised deployments (e.g., Docker, Kubernetes). Solid grounding in computer vision and experience with large-scale data. Bonus: exposure to reinforcement More ❯

s degree (or equivalent) in Computer Science, Machine Learning, or a related field. 3+ years of experience deploying ML models in production. Proficient in Python and ML frameworks (e.g., TensorFlow, PyTorch). Experience working with cloud platforms and containerised deployments (e.g., Docker, Kubernetes). Solid grounding in computer vision and experience with large-scale data. Bonus: exposure to reinforcement More ❯

s degree (or equivalent) in Computer Science, Machine Learning, or a related field. 3+ years of experience deploying ML models in production. Proficient in Python and ML frameworks (e.g., TensorFlow, PyTorch). Experience working with cloud platforms and containerised deployments (e.g., Docker, Kubernetes). Solid grounding in computer vision and experience with large-scale data. Bonus: exposure to reinforcement More ❯

with SQLAlchemy or other Python ORMs Previous exposure to Ad-Tech tools and datasets (DSPs, SSPs, IP ranges, user identifiers, etc.) Understanding of ML tools and libraries (e.g. PyTorch, TensorFlow, Pandas, NumPy) Benefits of joining them: Competitive salary plus performance-based bonus and equity Fully remote within the UK Private health, dental, and vision insurance Generous annual leave and More ❯

/or other methods relevant to recommendation systems. You have hands-on experience implementing production machine learning systems at scale in Java, Scala, Python, or similar languages. Experience with TensorFlow, PyTorch, Scikit-learn, etc. is a strong plus. You have some experience with large scale, distributed data processing frameworks/tools like Apache Beam, Apache Spark, or even our More ❯

and previous experience managing applied research teams. Requirements for the role include: Passion for solving ML problems Strong experience in Python and machine learning libraries such as OpenCV, PyTorch, TensorFlow, Fast.ai , and Keras Strong experience in mathematical programming, algorithmic problem solving, and applied machine learning What We Offer Competitive salary, commission, and equity in a hyper growth business. Strong More ❯

to develop real-world applications Hands-on expertise with implementing end-to-end production ML systems at scale in Python, Java or Scala Experience with Pytorch and/or TensorFlow is a strong plusExperience with designing end-to-end tech specs and modular architectures for ML frameworks in complex problem spaces in collaboration with product teams Experience with large More ❯

learning-based solutions that ideally include: recommender systems, personalization, and A/B testing. Strong machine learning and statistical knowledge. Preferred Qualifications: Proficient with Machine learning frameworks such as Tensorflow, PyTorch, MLlib. Experience with Databricks, Spark, Tecton, Kubernetes, Helm, Jenkins. Familiarity with standard methodologies in large-scale DL training/Inference. Experience with reducing model serving latency, memory footprint. More ❯

and applications. Develop and deploy AI solutions using Azure Machine Learning services. Have a knowledge of top ML libraries scalable across multiple CPU’s and GPU’s. Such as TensorFlow, PyTorch, Keras, OpenAI, XGBoost. And have used these in a commercial setting. Troubleshoot and resolve issues related to data processing and AI model performance. Collaborate with cross-functional teams More ❯

and applications. Develop and deploy AI solutions using Azure Machine Learning services. Have a knowledge of top ML libraries scalable across multiple CPU’s and GPU’s. Such as TensorFlow, PyTorch, Keras, OpenAI, XGBoost. And have used these in a commercial setting. Troubleshoot and resolve issues related to data processing and AI model performance. Collaborate with cross-functional teams 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 ❯

to impactfully solve their problems. Deep understanding of machine learning theory. Strong coding skills in Python and hands on experience using at least one of the deep learning frameworks Tensorflow or PyTorch. Desirable Skills: Technical experience in uncertainty modelling, explainable machine learning techniques, out-of-distribution detection, life-long learning, and related fields. Technical experience with signal processing and More ❯

to impactfully solve their problems. Deep understanding of machine learning theory. Strong coding skills in Python and hands on experience using at least one of the deep learning frameworks Tensorflow or PyTorch. Desirable Skills: Technical experience in uncertainty modelling, explainable machine learning techniques, out-of-distribution detection, life-long learning, and related fields. Technical experience with signal processing and More ❯

to impactfully solve their problems. Deep understanding of machine learning theory. Strong coding skills in Python and hands on experience using at least one of the deep learning frameworks Tensorflow or PyTorch. Desirable Skills: Technical experience in uncertainty modelling, explainable machine learning techniques, out-of-distribution detection, life-long learning, and related fields. Technical experience with signal processing and More ❯

the art tools and frameworks to optimize model performance. You have 7+ years of programming experience in Python and have development experience with both DL toolkits like PyTorch or Tensorflow and can deploy models with clean APIs. You are equally capable as a software engineer as you are in formulating novel research ideas and your code proves it. You More ❯

SSG, ISR, SSR, CSR and hybrid approaches. Experience developing PWAs, Web workers and Web APIs. Experience in Webapp performance optimisation, scalability, profiling and testing. Data Engineering & Architecture Familiarity with TensorFlow, PyTorch, or other relevant AI/ML frameworks Security and compliance design & implementation Mobile app development (native and/or Cross platform) QUALITIES AND CHARACTERISTICS Computer Science Degree or More ❯

our customers. Bonus points for: Experience with developing and deploying applications for Windows desktops or embedded systems. Experience with privacy, security, or qualifications in machine learning. Experience using PyTorch, TensorFlow for machine learning, or NumPy for general data science tasks. The interview process: Getting to know you: 30 minute chat with our People and Operations manager to talk about More ❯

At Peregrine, were constantly seeking Specialist Talent that offer the ideal mix of skills, experience, and attitude, to place with our vast array of clients. From Project Change Professionals in large government organisations to Software Developers in the private sector More ❯

Senior Engineer - ML Generalist London (Hybrid/Remote) Competitive Salary (Open to all levels) We are partnered with an exciting new AI startup backed by the same VC behind Revolut. They are revolutionizing the way people interact with AI-powered More ❯

Senior Engineer - ML Generalist London (Hybrid/Remote) Competitive Salary (Open to all levels) We are partnered with an exciting new AI startup backed by the same VC behind Revolut. They are revolutionizing the way people interact with AI-powered More ❯

Engineering at hyperexponential At hyperexponential (hx), we are transforming the traditional insurance industry with our groundbreaking SaaS platform, hx Renew. Insurers use it to build complex mathematical models that enable smarter, faster pricing decisions-whether it's calculating the cost More ❯

Dataflow, Apache Beam, or Spark. You care about agile software processes, data-driven development, reliability, and disciplined experimentation You have experience and passion for fostering collaborative teams Experience with TensorFlow, pyTorch, and/or Google Cloud Platform is a plus Experience with building data pipelines and getting the data you need to build and evaluate your models, using tools More ❯

model lifecycle Practical experience with modern Machine Learning Ops lifecycle, tools, and frameworks Nice to have: Experience supporting machine learning research activities Familiarity with python-based ML frameworks like TensorFlow, PyTorch, or JAX Experience with Google Cloud Platform (GCP) Culture and values What does it take to be successful at IsoLabs? It's not about finding people who think More ❯

NLP and statistical methods to market data What They're Looking For: Strong background in machine learning, NLP, and statistics Proficient in Python and data wrangling Experience with PyTorch, TensorFlow, or XGBoost (a plus) MSc or PhD in a quantitative field More ❯