1 to 25 of 31 TensorFlow Jobs in Central London

and collaboration skills Full right to work in the UK (we are unable to offer visa sponsorship for this role) Desirable (Not Essential): Familiarity with deep learning frameworks (e.g. TensorFlow, PyTorch) Exposure to cloud platforms (AWS, GCP, or Azure) Experience with experimental design, research methods, or academic publishing Understanding of MLOps, version control (Git), or containerisation (e.g. Docker) Benefits More ❯

and collaboration skills Full right to work in the UK (we are unable to offer visa sponsorship for this role) Desirable (Not Essential): Familiarity with deep learning frameworks (e.g. TensorFlow, PyTorch) Exposure to cloud platforms (AWS, GCP, or Azure) Experience with experimental design, research methods, or academic publishing Understanding of MLOps, version control (Git), or containerisation (e.g. Docker) Benefits More ❯

up to date with the latest advancements in deep learning, computer vision, and related technologies. Key Skills & Experience Strong hands on experience with Computer Vision frameworks (e.g., OpenCV, PyTorch, TensorFlow). Proficiency in Python and ML/DL libraries (NumPy, Pandas, scikit-learn). Proven track record of building and deploying ML models in production environments. Knowledge of MLOps More ❯

up to date with the latest advancements in deep learning, computer vision, and related technologies. Key Skills & Experience Strong hands on experience with Computer Vision frameworks (e.g., OpenCV, PyTorch, TensorFlow). Proficiency in Python and ML/DL libraries (NumPy, Pandas, scikit-learn). Proven track record of building and deploying ML models in production environments. Knowledge of MLOps More ❯

and techniques in deep learning. Required Skills & Experience: Proven experience in developing and deploying deep learning models in production. Strong proficiency in Python and deep learning libraries (e.g., PyTorch, TensorFlow, Keras). Solid understanding of neural network architectures (CNNs, RNNs, Transformers, etc.). Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). Familiarity with MLOps More ❯

and techniques in deep learning. Required Skills & Experience: Proven experience in developing and deploying deep learning models in production. Strong proficiency in Python and deep learning libraries (e.g., PyTorch, TensorFlow, Keras). Solid understanding of neural network architectures (CNNs, RNNs, Transformers, etc.). Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). Familiarity with MLOps More ❯

GenAI operations (ideally, experience governing AI models in production environments) Expertise across cloud platforms (AWS, Azure, GCP), Kubernetes, and containerised systems. Strong technical skills in Python, Java/Go, TensorFlow, PyTorch, and data engineering. Proven ability to engage directly with CxO-level stakeholders. Experience in MLOps, AI governance, and large-scale deployment. Recognised professional certifications in AI or cloud More ❯

GenAI operations (ideally, experience governing AI models in production environments) Expertise across cloud platforms (AWS, Azure, GCP), Kubernetes, and containerised systems. Strong technical skills in Python, Java/Go, TensorFlow, PyTorch, and data engineering. Proven ability to engage directly with CxO-level stakeholders. Experience in MLOps, AI governance, and large-scale deployment. Recognised professional certifications in AI or cloud More ❯

an early team member. What We’re Looking For 2+ years’ experience as a Machine Learning Engineer, Data Scientist, or similar role. Strong background in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn). Experience with building and deploying ML models into production. Knowledge of APIs, data pipelines, and cloud infrastructure (AWS, GCP, or Azure). Strong problem-solving More ❯

an early team member. What We’re Looking For 2+ years’ experience as a Machine Learning Engineer, Data Scientist, or similar role. Strong background in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn). Experience with building and deploying ML models into production. Knowledge of APIs, data pipelines, and cloud infrastructure (AWS, GCP, or Azure). Strong problem-solving More ❯

Data Science, Computer Science, Biostatistics, or related field ✔️ 7–10 years’ experience, with 3+ years applying AI/ML to healthcare or clinical research data ✔️ Expertise in Python, R, TensorFlow, PyTorch, and modern ML frameworks ✔️ Hands-on experience with LLMs, generative AI, and natural language processing for medical text ✔️ Familiarity with AWS, MLOps, and cloud-based platforms ✔️ Proven ability More ❯

Data Science, Computer Science, Biostatistics, or related field ✔️ 7–10 years’ experience, with 3+ years applying AI/ML to healthcare or clinical research data ✔️ Expertise in Python, R, TensorFlow, PyTorch, and modern ML frameworks ✔️ Hands-on experience with LLMs, generative AI, and natural language processing for medical text ✔️ Familiarity with AWS, MLOps, and cloud-based platforms ✔️ Proven ability More ❯

Data Science, Computer Science, Biostatistics, or related field ✔️ 7–10 years’ experience, with 3+ years applying AI/ML to healthcare or clinical research data ✔️ Expertise in Python, R, TensorFlow, PyTorch, and modern ML frameworks ✔️ Hands-on experience with LLMs, generative AI, and natural language processing for medical text ✔️ Familiarity with AWS, MLOps, and cloud-based platforms ✔️ Proven ability 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 ❯

In regard to you...it would be great if you bring strong Python skills, experience with Azure ML, Docker, Git, and a passion for machine learning tools like scikit-learn, TensorFlow or PyTorch. Bonus points if you're curious about GenAI and know your way around SQL. If you're ready to build things that actually get used, apply now More ❯

to communicate clearly across technical and non-technical teams Strong data visualisation skills — ideas that land Nice to Have Background in credit cards or consumer lending Deep learning (Keras, TensorFlow) Git, Tableau, Bitbucket MSc in Data Science or similar Why Apply? Excellent salary + benefits 25–30 days holiday + birthday off Hybrid working (London) Family friendly policies Great More ❯

to communicate clearly across technical and non-technical teams Strong data visualisation skills — ideas that land Nice to Have Background in credit cards or consumer lending Deep learning (Keras, TensorFlow) Git, Tableau, Bitbucket MSc in Data Science or similar Why Apply? Excellent salary + benefits 25–30 days holiday + birthday off Hybrid working (London) Family friendly policies Great More ❯

Looking For: 0–2 years of experience in machine learning, applied AI, or data science (personal projects and internships count!) Solid Python skills and familiarity with libraries like PyTorch, TensorFlow, or Hugging Face Transformers Understanding of basic ML concepts and data preprocessing techniques Interest in NLP, unstructured data, and information extraction Eagerness to learn, take feedback, and contribute to More ❯

and know how to translate those into robust, scalable digital environments. Experience with HPC, cloud platforms (AWS, Azure, GCP), containerisation (Docker, Singularity), and research software tools (MATLAB, R, Python, TensorFlow, NVivo) is essential. Familiarity with data governance, reproducibility frameworks, and AI ethics is highly desirable. More ❯

and imitation learning Contribute to creating multi-robot systems and cross-embodiment learning techniques Drive innovation by publishing research and attending top conferences Engineer Background: Expertise in PyTorch or TensorFlow, distributed computing, and multi-GPU training Robotics experience, particularly in reinforcement/imitation learning Experience in cloud infrastructure (AWS, GCP, or Azure) and containerization Ability to translate research papers More ❯

have (or we’ll help you get there): Cloud platforms (AWS, Azure) Containerisation (Docker, Kubernetes) Database systems (SQL, NoSQL, Graph) Configuration & deployment tools (Ansible) Exposure to Machine Learning frameworks (TensorFlow, AWS/Azure ML) The Package Up to £72,000 base salary Bonus scheme Hybrid working – London or Manchester hub Private healthcare & pension Career development pathways in a consulting More ❯

mindset and stakeholder collaboration skills Excellent management capability Strong commercial ability 7+ years in data/AI roles, with 5+ years in leadership Ability with Python, SQL, ML frameworks (TensorFlow, PyTorch) Deep knowledge of LLMs, forecasting, and modern data stacks Background in data insights, media or trend forecasting is a bonus Why apply? You'll join a high-impact More ❯

transformative, compliant, and ethical AI solutions. Requirements: Proven experience leading AI initiatives in banking, capital markets, or insurance. Deep technical expertise in generative AI technologies and frameworks (e.g., PyTorch, TensorFlow, Hugging Face). Strong business acumen and ability to align AI with client goals. Excellent leadership, communication, and stakeholder management skills. Passion for innovation and staying ahead of AI More ❯

within financial services with a strong background in machine learning or a related field. Proficiency in Python/R and experience with deep learning frameworks such as PyTorch or TensorFlow will also be required. Want to join? Get in touch. Salary and total compensation is purely based on performance of your models and the overall business – we can discuss More ❯

within financial services with a strong background in machine learning or a related field. Proficiency in Python/R and experience with deep learning frameworks such as PyTorch or TensorFlow will also be required. Want to join? Get in touch. Salary and total compensation is purely based on performance of your models and the overall business – we can discuss More ❯