23 of 23 Remote/Hybrid TensorFlow Jobs in London

outside of work setting. Education: Relevant Software Engineering/Computer Science degree. Technical Skills Programming Languages: Python, Java, C++, C#, TypeScript, JavaScript Machine Learning: TensorFlow, PyTorch, Scikit-learn GenAI/LLMs: OpenAI API, Hugging Face Transformers, LangChain, Langraph, RAG pipelines Data & Analytics: Pandas, NumPy, Spark, Databricks, Hadoop, Vector Databases ...

internal library of proprietary tools and frameworks. Technical Profile Expert Programming: Mastery of Python and its ecosystem (Pandas, NumPy, Scikit-learn, PyTorch, or TensorFlow). Experience writing production-ready, modular, and well-tested code. Advanced Modeling: Deep theoretical and practical knowledge of Machine Learning. You should be comfortable with ...

identify and validate use cases. Essential Skills At least 6-10 years of hands-on development and architectural experience. Proficiency in Python, PyTorch, TensorFlow, or similar frameworks. experience with supervised, unsupervised, and reinforcement learning. Solid grounding in Natural Language Processing (NLP) concepts such as tokenisation, embeddings, semantic search, text ...

improvement. Your Profile Essential skills/knowledge/experience: Knowledge of machine learning frameworks (e.g., PySpark, PyTorch) and model deployment tools (e.g., MLflow, TensorFlow Serving). Strong experience with data processing frameworks (e.g., Apache Spark, Flink). Expertise in SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB, Cassandra). ...

management skills. Advanced Analytics Expertise: Proficiency in Python and advanced analytics techniques for structured data, with experience using AI/ML frameworks such as TensorFlow, PyTorch, Keras, or Hugging Face. NLP and Machine Learning : Deep understanding of NLP and ML methods for unstructured data, including experience with foundation models ...

Knowledge/Experience (Up to 10) 10+ years of experience in software engineering, with 5+ years in AI/ML. Expert in Python, PyTorch, TensorFlow, and NLP frameworks. Proven experience with LLMs, transformer architectures, and LangChain/Hugging Face. Strong foundation in algorithms, model evaluation, and ML workflows. Deep ...

following skills and experience: Strong Python and SQL experience, ideally with Databricks Experience with ML and LLM tools (e.g., scikit learn, XGBoost, PyTorch, TensorFlow, RAG, APIs) Comfortable with data engineering basics and MLOps practices Experience working with cloud platforms such as Azure, AWS, or GCP Benefits The successful Senior ...

models together to achieve reliable results. True ML Fundamentals: You aren't limited to APIs. You have a background in training and evaluating models (TensorFlow/PyTorch/Keras/Scikit-learn) and know when a simple classifier is better than a generative model. Data Fluency: You understand ...

experiment tracking and monitoring Collaborate with data scientists and engineers What We're Looking For: Proficiency in Python and ML frameworks (scikit-learn, PyTorch, TensorFlow) Hands-on experience with AWS ML services (SageMaker, Lambda) Familiarity with containerisation (Docker) and orchestration (Kubernetes/ECS) Knowledge of LLMOps and GenAI tools ...

personalisation, or deep learning is desirable but not essential. Solid Python skills and experience with ML libraries such as pandas, numpy, scipy, scikit-learn, TensorFlow or PyTorch. Experience working across cloud environments (GCP, AWS, or Azure) and analytics platforms such as Dataiku. Good understanding of MLOps practices, including deployment ...

delivering AI/ML projects end-to-end in production environments Strong Python skills with hands-on use of ML libraries like Scikit-learn, TensorFlow, PyTorch, or Hugging Face Solid understanding of machine learning fundamentals and performance evaluation techniques Experience working in cloud platforms (AWS, GCP, or Azure) with ...

Mathematics, or similar Experience delivering predictive analytics or machine learning solutions Strong skills in Python, SQL, and ML libraries (e.g. scikit-learn, XGBoost, PyTorch, TensorFlow) Hands-on experience with AWS ML services (SageMaker, Lambda, Redshift) Ability to clearly communicate insights to non-technical stakeholders Strong analytical thinking, collaboration skills ...

inference Intervention analysis Counterfactual estimation Mathematical optimisation Scenario simulation Solid grounding in Bayesian methods and probabilistic programming. Hands-on experience with scikit-learn, PyMC, TensorFlow, PyTorch, Databricks ML, Keras, and ML at scale. Experienced Data Scientist, including leadership experience and demonstrable impact-ideally within a Net Revenue Management/ ...

like Time-Series Forecasting , Probabilistic Modelling , or Combinatorial Optimization . Technical Proficiency: Expert-level Python skills with deep experience in libraries such as PyTorch, TensorFlow, or Scikit-learn . Problem Solving: A track record of applying theoretical concepts to solve messy, real-world business problems. Communication: Ability to explain ...

Experience building cloud based products ideally in a scale up environment - A delivery focused, mission driven personality - An interest in AI/automation - Pytorch, TensorFlow, LlamaCPP, Keras etc This Senior Software Engineer near London will receive: - Starting salary of up £110,000 base salary - Bonus scheme - Long term hybrid ...

RLHF). Hands-on experience training/fine-tuning generative models (LLMs, diffusion, transformers, GANs). Strong knowledge of deep learning frameworks (PyTorch, JAX, TensorFlow). Proficiency in Python and standard ML libraries. Solid foundations in probability, optimisation, and statistics. Experience working with large-scale distributed training on GPUs ...

technologies Required Skills & Experience MSc or PhD in Computer Science, Machine Learning, Mathematics, Statistics, or similar Strong Python programming skills Experience with PyTorch, TensorFlow, or optimisation libraries (e.g. Gurobi, OR-Tools) Strong technical communication and stakeholder engagement skills Ability to write clean, efficient, maintainable code Interest in explaining ...

libraries such as Neo4j, NetworkX, GraphX, or similar. Strong programming skills in Python & PySpark, with experience in relevant machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch). Expertise in graph algorithms including shortest path, centrality, community detection, and graph embeddings. Experience with big data technologies and cloud platforms ...

one. Experience in building reusable AI components and frameworks for enterprise-scale deployments.Your CV must evidence strong proficiency in Python and ML frameworks (TensorFlow, PyTorch). You will have strong statistical and analytical skills. You will be experienced in a wide range of Data Science techniques (e.g. ML, Optimisation ...

series, dynamic forecasting, and complex sequential tasks. Industry experience implementing and refining forecasting systems in production. Proficiency in modern ML frameworks such as PyTorch, TensorFlow, or JAX. A track record of applying research results to real-world, high-impact problems. Highly Valued: Experience with real-time prediction systems, probabilistic ...

Machine Learning Engineer/Junior Machine Learning Engineer Level: Junior ML Engineer (£56,000) | ML Engineer (£65,000) Location: London About the Role Our client is a global defence, security, and intelligence consultancy delivering high ...

Safety classifiers Behaviour-shaping or reward-modelling components. LLM and multimodal fine-tunes Adversarial robustness defences Use Python and modern ML frameworks (e.g., PyTorch, TensorFlow, JAX, HuggingFace). Contribute to creation of synthetic datasets, adversarial evaluation corpora, and scenario-based test sets. Help transition research outputs into scalable controls … grasp of core Responsible AI concepts: Bias and fairness Explainability Privacy-preserving ML. Robustness and uncertainty Nice to have: Experience with ML frameworks: PyTorch, TensorFlow, Flax/JAX, HuggingFace. Exposure to multimodal models (CLIP, Whisper, LLaVA, video transformers). Familiarity with safety benchmarks, adversarial testing, red teaming, or uncertainty ...

experience Core expected skills (level based on seniority) : Python proficiency and familiarity with popular libraries Knowledge of frameworks for building complex ML models (e.g. TensorFlow, pytorch or keras) Ability to pre-process and feature engineer data (cleaning, transformation, feature extraction) Ability to deploy and serve models in prod ready … environments (requiring knowledge of containerisation, orchestration, and model serving platforms - docker, Kubernetes, TensorFlow etc). Familiar with model interpretability and explainability and techniques to interpret and explain model results (e.g. SHAP, LIME ...