76 to 100 of 204 TensorFlow Jobs in the UK

familiarity with good software engineering practices. Excellent written and verbal communication. Strong experience developing, testing machine learning solutions using frameworks such as TensorFlow, PyTorch or scikit‐learn. Solid intuitive grasp of fundamental concepts from probability, statistics, linear algebra and calculus. Collaborative, humble and enthusiastic attitude. Preferred Qualifications, Capabilities ...

familiarity with good software engineering practices Excellent written and verbal communication Strong experience developing, testing machine learning solutions using frameworks such as TensorFlow, PyTorch or scikit-learn Solid intuitive grasp of fundamental concepts from probability, statistics, linear algebra and calculus Collaborative, humble and enthusiastic attitude Preferred qualifications, capabilities ...

equivalent experience in Computer Science, Maths, Machine Learning, Data Science, or related field. Desirable: Exposure to machine learning frameworks such as PyTorch, JAX, Triton, TensorFlow Experience with distributed workload management systems such as Kubernetes, VLLM, Keras or MLOps pipelines Experience working with hardware simulators or emulators (e.g. QEMU). ...

programming skills in Python , Rust, or similar; and strong software engineering fundamentals building performant and reliable systems. Proficient in deep learning frameworks (Pytorch, JAX, TensorFlow). You can work on different layers of the stack from low-level training backends, data ingestion to ML/RL algorithmic design ...

Computer Science, Electrical Engineering, Control Systems, or a related field Experience across a spectrum of libraries, frameworks and services : such as ML libraries e.g. TensorFlow or PyTorch model servers such as AWS Bedrock MLOps such as ML Flow or Sagemaker agent/AI orchestration such as LangGraph ...

research environments. Strong understanding of Machine Learning techniques and architectures, including Generative AI, Transformers and neural networks. Python and common Data Science libraries. TensorFlow, PyTorch or similar machine learning frameworks. AWS, Azure or Google Cloud AI and Data Science services. Ability to work effectively with technical and non-technical ...

research environments. Strong understanding of Machine Learning techniques and architectures, including Generative AI, Transformers and neural networks. Python and common Data Science libraries. TensorFlow, PyTorch or similar machine learning frameworks. AWS, Azure or Google Cloud AI and Data Science services. Ability to work effectively with technical and non-technical ...

research environments. Strong understanding of Machine Learning techniques and architectures, including Generative AI, Transformers and neural networks. Python and common Data Science libraries. TensorFlow, PyTorch or similar machine learning frameworks. AWS, Azure or Google Cloud AI and Data Science services. Ability to work effectively with technical and non-technical ...

cloud environments. Strong knowledge of Google Cloud Platform, with exposure to cloud-based machine learning services. Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn. Knowledge of pipeline orchestration and data workflow tools such as Airflow, Dataform, or dbt. Experience delivering advanced measurement and modelling solutions ...

Solution Architect or similar leadership role Strong proficiency in AI, machine learning, and data platforms (e.g., MS Fabric, Databricks) Experience with AI frameworks (e.g., TensorFlow, PyTorch) and cloud platforms (AWS, Azure, GCP) Familiarity with modern AI ecosystems (e.g., Microsoft AI Foundry, AWS Bedrock, Google Vertex, agentic AI) Proven ability ...

management Requirements Python AWS LangChain LangGraph Retrieval Augmented Generation (RAG) Vector databases MLOps Production Machine Learning platforms AI governance and engineering best practice PyTorch, TensorFlow or Scikit-learn Contract £750-900 per day (inclusive) Initial 6 months with long-term programme roadmap Inside IR35 London (3 days per week ...

experience in: Python AWS LangChain LangGraph Retrieval Augmented Generation (RAG) Vector databases MLOps Production Machine Learning platforms AI governance and engineering best practice PyTorch, TensorFlow or Scikit-learn More important than individual technologies is your ability to design robust, scalable AI systems and influence engineering standards across multiple product ...

again. Proven track record delivering impactful ML/AI solutions in production. Deep expertise in Python and modern AI/ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn, NumPy, Pandas). Hands-on experience with GenAI, agentic AI, and automated testing for AI systems. Curiosity and creativity to challenge assumptions ...

Computer Science or a closely related discipline Strong software development experience using Python Hands-on experience with Machine Learning frameworks such as PyTorch or TensorFlow Experience working with Large Language Models (LLMs), Knowledge Graphs, Graph Machine Learning or Natural Language Processing Experience developing AI prototypes, proof-of-concept solutions ...

/ML Engineers build, evaluate, and deploy machine‐learning systems at scale. The day‐to‐day work combines data preprocessing, model training (PyTorch, TensorFlow), evaluation against business or research metrics, and production deployment (FastAPI, Triton, Ray) with monitoring. The role increasingly overlaps with MLOps (model deployment, monitoring, retraining infrastructure ...

Computer Science (or equivalent proven track record). 4 + years working on large‐scale ML codebases. Hands‐on with PyTorch, JAX or TensorFlow; comfortable with distributed training (DeepSpeed/FSDP/SLURM/K8s). Experience in deep learning, NLP or LLMs; bonus for CUDA or data‐pipeline ...

Hands‐on LLM/ML systems experience: fine‐tuning models, building inference pipelines, optimisation for latency/cost, evaluation of model performance; comfortable with TensorFlow, PyTorch, Triton and productionising ML. Technical depth and breadth: T‐shaped expertise in at least one area (ML infrastructure, backend systems, performance optimisation) with ...

related technical field or bring equivalent experience in software and site reliability engineering. Preferred: Experience with distributed ML frameworks such as Horovod or TensorFlow Distributed. Familiarity with data engineering pipelines such as Apache Airflow or Apache Spark. Knowledge of chaos engineering tools and compliance frameworks such as GDPR ...

Essential Requirements You will have a PhD in a relevant topic. Experience in software development in Python Experience with at least one ML framework: TensorFlow, Pytorch. Experience working with LLMs, knowledge graphs, or graph machine learning Of particular interest are candidates with the following experience (evidenced by a track ...

model inference (e.g., dynamic batching, flash attention, speculative decoding) Proven track record of developing and deploying models at scale Expertise in Python, ML frameworks (TensorFlow, PyTorch), and experience with cloud platforms Strong familiarity with MLOps principles, CI/CD pipelines, and containerization (Docker, Kubernetes) With preferred backgrounds covering some ...

model inference (e.g., dynamic batching, flash attention, speculative decoding) Proven track record of developing and deploying models at scale Expertise in Python, ML frameworks (TensorFlow, PyTorch), and experience with cloud platforms Strong familiarity with MLOps principles, CI/CD pipelines, and containerization (Docker, Kubernetes) With preferred backgrounds covering some ...

Machine Learning Engineer - Multiple Levels Available London (Hybrid) - Python, SQL, TensorFlow, PyTorch - Azure, AWS & GCP - Up to £75,000 Our client is investing heavily in Artificial Intelligence and Machine Learning capabilities and is seeking talented AI professionals to join a growing technology team in London. This is an opportunity … benefits package Key Experience Experience building and deploying AI or Machine Learning solutions in a commercial environment Strong Python and SQL skills Experience using TensorFlow, PyTorch, Scikit-learn or similar frameworks Strong understanding of machine learning algorithms, deep learning architectures and model deployment practices Experience with Azure ...

Face Orchestration: LangGraph, Multi-Agent Systems Development Languages: Java, PythonFastAPI Retrieval-Augmented Generation (RAG): PostgreSQL, Vector DBs, Advanced Retrieval ML/DL Frameworks: PyTorch, TensorFlow, Fine‐tuning Deployment: Enterprise DevOps Pipeline, Docker, Monitoring Tooling Data Analytics: Utilizing tools like Splunk, Tableau, and Adobe Analytics to track customer journey adoption … concepts. Technical Proficiency (Gen AI): Capable of successfully passing technical interviews, including basic algorithmic programming exercises, with demonstrated proficiency in Generative AI frameworks (e.g., TensorFlow, PyTorch, Hugging Face), model development, prompt engineering, and understanding of AI architecture. Strong experience in AI engineering, particularly in building agentic flows and building ...

related role. Proven experience in designing and deploying generative AI models and solutions. Hands‐on experience with AI frameworks and tools such as TensorFlow, PyTorch, Hugging Face, etc. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and deploying AI solutions in cloud environments. Technical Skills: Proficiency in programming ...

some of these, but if not we'll help you with them Machine Learning software e.g. Amazon and Azure machine learning, or Google's TensorFlow Deploying and managing in Cloud Computing such as AWS, MS Azure Containerisation e.g. Docker, Kubernetes Relational, document, or graph database systems Software configuration ...