76 to 100 of 300 TensorFlow Jobs in the UK

model monitoring Excellent data visualisation—ideas that land Degree in Computer Science, Maths, Stats, or similar Bonus Points For Experience in credit cards or consumer lending Deep learning (Keras, TensorFlow) Git, Tableau, Bitbucket Master’s in Data Science or related field What’s on Offer Up to £75k depending on experience Bonus + private medical 25–30 days holiday More ❯

ideas need to land Bachelor's degree in computer science, Mathematics, Statistics, or related field Bonus points for Credit card or consumer finance experience Exposure to deep learning (Keras, TensorFlow) Git, Tableau, Bitbucket Master's in Data Science or similar What's on offer Up to £75k depending on experience Bonus scheme + private medical 2530 days holiday + More ❯

hands-on orchestration Proficiency or experiment tracking, model management, and reproducibility Solid understanding of LLM architectures, fine-tuning, and inference optimizations Fluent in Python and model frameworks (PyTorch/TensorFlow, HuggingFace Transformers) Strong DevOps mindset; adept at CI/CD, infrastructure-as-code, and version control systems Job Title: Ai Engineer Location: London, UK Job Type: Contract Trading as More ❯

to productionise AI models effectively. Ensure customer success and adoption of AI-driven features and insights. Required Experience 5+ years working with deep learning frameworks such as PyTorch and TensorFlow . 2+ years of experience in object detection models, including YOLO , Faster R-CNN , and ViT . Proven track record of training, fine-tuning, quantising, and deploying computer vision More ❯

Java/Python, including API integrations Knowledge of RESTful API development and integration Understanding of version control systems (e.g., Git) Specific tools include: Python Libraries like Scikit-learn or TensorFlow SQL and NoSQL databases Soft skills include: Self-starter Collaborative Fast-paced and adaptable to change Attention to detail Strong problem-solving skills Excellent communication skills Passion for software More ❯

fine-tuning Large Language Models or interactive AI applications (>1 year post-graduate experience); Technical proficiency in programming languages and frameworks commonly used in NLP and AI (e.g., Python, TensorFlow, PyTorch); Preferably several years of experience working with different AI capabilities and showcasing your passion both at work and outside work in the utilization of AI; Excellent communication skills More ❯

UK for the last 10 years. You must be able to hold or gain a UK government security clearance. Preferred technical and professional experience Experience with machine learning frameworks (TensorFlow, PyTorch, scikit-learn). Familiarity with big data technologies (Hadoop, Spark). Background in data science, IT consulting, or a related field. AWS Certified Big Data or equivalent. IBM More ❯

to write production-grade code and a good understanding of data engineering & MLOps Solid understanding of machine learning concepts, familiarity working with common frameworks such as sci-kit-learn, TensorFlow, or PyTorch Collaborative and humble team player with an ability to work with cross-functional teams, including technical and non-technical stakeholders Passion for learning new skills and staying More ❯

data science, engineering, or computer science - Experience communicating across technical and non-technical audiences - Experience in using Python and hands on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet - Fluency in written and spoken English Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We More ❯

complex, multi-faceted projects with competing deadlines. Expertise in Agile project management methodologies is a plus. Hands-on experience with a variety of machine learning frameworks (e.g., Scikit-Learn, TensorFlow, PyTorch etc.) and AutoML technologies (e.g., Datarobot, Dataiku). Experience in deploying models at scale using cloud infrastructure is a plus. Proven ability to lead, mentor, and inspire teams More ❯

enhance traditional natural language processing tasks, prompt engineering, integrating LLMs into machine learning workflows Strong Python skills and familiarity with libraries such as scikit-learn, pandas, NumPy, PyTorch or TensorFlow Advanced SQL skills and experience working with complex, high-volume datasets Practical experience with MLOps tools and practices for deploying and maintaining models Experience leading projects and collaborating across More ❯

the AI models Ensure customers are successful in their use of our AI functionality Experience Key experience: At least five years of experience in frameworks such as PyTorch and Tensorflow Two years of experience in object detection models, including but not limited to YOLO, Faster R-CNN, and VIT Experience in training, fine-tuning, quantisation, and deploying computer vision More ❯

and deployment of ML models into production environments. Expertisein Python and relevant ML libraries Experience with various ML algorithms (e.g. supervised, unsupervised, reinforcement learning) and deep learning frameworks (e.g. TensorFlow,PyTorch). Experience developing generative AI applications and deploying them into production. Experience working with cloud platforms, ideally Google Cloud Platform (GCP) andBigQuery. Proficiencyin working with and querying global More ❯

About You: Experience: 5+ years of experience in machine learning engineering, preferably in Ad Tech, Mar Tech, or related high-scale environments. Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn). Deep understanding of supervised, unsupervised, and reinforcement learning methods. Experience with GCP services such as Vertex AI, BigQuery ML, Dataflow, AI Platform Pipelines, and Dataproc. More ❯

AI landscape, identifying and adopting new techniques, tools, and methodologies as appropriate. Requirements: Excellent programming ability in Python and good experience with machine learning libraries such as PyTorch (preferred), TensorFlow, OpenCV etc. Experience in deploying, maintaining, and optimising deep learning pipelines, focusing on efficiency, performance, and production maturity. Strong understanding of machine learning principles, deep learning techniques and GenAI More ❯

equivalents (e.g., logging, tracing, metrics). Knowledge of data processing frameworks (e.g., Pandas, Spark, Airflow) is a plus. Comfortable reading and working with Python-based ML code (scikit-learn, TensorFlow, PyTorch, etc.). Strong ownership mindset and a collaborative attitude. Nice to Have Experience with model versioning and ML serving frameworks (e.g., MLflow, Seldon, Triton). Understanding of data More ❯

related fields. 3-5 years of experience in Machine Learning (ML), with expertise in crafting and reviewing production-grade Python code. Strong knowledge of ML frameworks and libraries (e.g., TensorFlow, PyTorch) and practical implementation of ML algorithms at a large scale. Experience in building applications with large language models (LLMs) and leveraging them to enhance AI solutions. Experience with More ❯

Strong engineering fundamentals, including DevOps, CI/CD, and secure ML/AI pipelines (DevSecOps). Highly proficient in Python, SQL, and key AI/ML frameworks (e.g., PyTorch, TensorFlow). Ability to mitigate model hallucination, optimise performance, and lead governance around AI risk and ethical deployment. Ready to Transform the Future? This a career-defining opportunity working within More ❯

Strong engineering fundamentals, including DevOps, CI/CD, and secure ML/AI pipelines (DevSecOps). Highly proficient in Python, SQL, and key AI/ML frameworks (e.g., PyTorch, TensorFlow). Ability to mitigate model hallucination, optimise performance, and lead governance around AI risk and ethical deployment. Ready to Transform the Future? This a career-defining opportunity working within More ❯

Strong engineering fundamentals, including DevOps, CI/CD, and secure ML/AI pipelines (DevSecOps). Highly proficient in Python, SQL, and key AI/ML frameworks (e.g., PyTorch, TensorFlow). Ability to mitigate model hallucination, optimise performance, and lead governance around AI risk and ethical deployment. Ready to Transform the Future? This a career-defining opportunity working within More ❯

Strong engineering fundamentals, including DevOps, CI/CD, and secure ML/AI pipelines (DevSecOps). Highly proficient in Python, SQL, and key AI/ML frameworks (e.g., PyTorch, TensorFlow). Ability to mitigate model hallucination, optimise performance, and lead governance around AI risk and ethical deployment. Ready to Transform the Future? This a career-defining opportunity working within More ❯

What You'll Bring: Degree in Computer Science, AI, ML, or a related field. Experience in developing and deploying AI/ML solutions. Proficiency in Python and ML frameworks (TensorFlow, PyTorch). Strong understanding of LLMs, NLP, and machine learning algorithms. MLOps knowledge and experience with version control systems. Back-end engineering skills in Python or Node.js (willingness to More ❯

and iterate model performance prior to large-scale rollout. Skills & Experience Essential Strong background in data science or machine learning engineering , with end-to-end project delivery experience (Python, Tensorflow, PyTorch or similar) Hands-on expertise in large language models (LLMs), ideally including fine-tuning, and natural language processing (NLP). Proven ability to build ETL/data engineering More ❯

Experience with neural deep learning methods and machine learning - Experience with prompting techniques for LLMs PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, etc. - Experience with large scale distributed systems such as Hadoop, Spark, etc. - PhD in math/statistics/engineering or other equivalent quantitative discipline - Experience with conducting More ❯

natural language processing, computer vision, deep learning, and other cutting-edge ML techniques. - programming skills in Python, R, or other relevant languages, and experience with popular ML frameworks like TensorFlow, PyTorch, or MXNet. - communication and collaboration skills to effectively work with cross-functional teams. PREFERRED QUALIFICATIONS - Proficient in any one of these areas: large language models, NLP (Information retrieval More ❯