12 of 12 TensorFlow Jobs in the City of London

ethics and bias mitigation, with experience in implementing strategies to ensure air and unbiased AI solutions. • Serverless Computing and Distributed Systems • Deep Learning Frameworks (TensorFlow, PyTorch) • Innovation and Emerging Technology Trends • Strategic AI Vision and Roadmapping • Enthusiastic about working in a fast-paced environment using the latest technologies ...

users) machine learning solutions for personalizing recommendations. Hands-on experience building training frameworks and/or serving large-scale models using tools such as Tensorflow or PyTorch is a plus. You stay up-to-date with the state-of-the-art open source infrastructure solutions applicable to designing ...

similar platforms Experience building and maintaining feature stores (e.g., Feast, Vertex Feature Store) Experience with data/model validation tools (e.g., Great Expectations, TensorFlow Data Validation, Evidently) Knowledge of model monitoring concepts: drift, data quality issues, performance degradation, bias checks, and alerting strategies Infrastructure-as-Code (Terraform) and secrets ...

related field Strong software engineering skills: clean code, testing, debugging, version control, and system design Proficiency in Python with experience in ML frameworks (PyTorch, TensorFlow, or JAX) Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerisation (Docker, Kubernetes) Solid understanding of ML fundamentals (model training, evaluation ...

systems, optimisation, or marketing analytics. Deep understanding of ML fundamentals across the full lifecycle. Hands‐on experience with ML frameworks (scikit‐learn, XGBoost, PyTorch, TensorFlow, LightGBM). Strong exposure to LLMs, prompt engineering, RAG, and evaluation frameworks. Familiarity with MLOps tooling: CI/CD, experiment tracking, model registries, monitoring ...

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 ...

model serving, versioning, and lifecycle management Lead documentation, knowledge transfer, and mentoring to upskill internal teams Technical requirements Strong Python and ML frameworks (PyTorch, TensorFlow) MLOps tooling (MLflow, Kubeflow or similar) Databricks Docker, Kubernetes, CI/CD pipelines Cloud platforms (AWS, Azure or GCP); Terraform experience preferred Financial services ...

machine learning, deep learning, and optimisation Hands-on experience training, evaluating, and deploying ML models in real-world systems Proficiency with PyTorch (preferred) or TensorFlow; familiarity with the Hugging Face ecosystem Experience with audio or speech models and frameworks. Experience building and maintaining end-to-end ML pipelines ...

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 ...

ship impactful features quickly while ensuring safety and technical rigor. The ideal candidate: Strong background in Python and ML libraries like PyTorch or TensorFlow, with experience in supervised and reinforcement learning. Hands-on expertise in fine-tuning Large Language Models, prompt engineering, and deploying models within cloud environments like ...

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 ...