Reading, Berkshire, United Kingdom Hybrid / WFH Options
Deloitte LLP
you will be expected to: Build Agentic AI and GenAI solutions, from PoC to production, using agile methodologies and best practices. Apply advanced analytical techniques, such as machine learning, naturallanguageprocessing, computer vision, and deep learning, to extract insights and generate solutions from structured and unstructured data. Build data pipelines, models, and AI applications, using cloud More ❯
Milton Keynes, Buckinghamshire, United Kingdom Hybrid / WFH Options
Deloitte LLP
you will be expected to: Build Agentic AI and GenAI solutions, from PoC to production, using agile methodologies and best practices. Apply advanced analytical techniques, such as machine learning, naturallanguageprocessing, computer vision, and deep learning, to extract insights and generate solutions from structured and unstructured data. Build data pipelines, models, and AI applications, using cloud More ❯
slough, south east england, united kingdom Hybrid / WFH Options
KPMG UK
authentication/authorization standards, and API lifecycle best practices; familiarity with Microsoft Graph API is a plus. Experience & Knowledge Requirements Good knowledge of generative AI, machine learning, deep learning, naturallanguageprocessing or other relevant AI fields. Proven track record of designing, developing, and deploying AI systems in production environments. Proficient in Python and key ML libraries More ❯
slough, south east england, united kingdom Hybrid / WFH Options
Experis UK
team on a contract basis. You will be responsible for designing, developing, and deploying deep learning models to solve complex real-world problems across domains such as computer vision, naturallanguageprocessing, and time-series analysis. Key Responsibilities: Design and implement deep learning models using frameworks such as PyTorch or TensorFlow. Collaborate with data scientists, ML engineers More ❯
BT9, Windsor, City of Belfast, County Antrim, United Kingdom Hybrid / WFH Options
Exposed Solutions
Experience Strong Python expertise. Experience with GNU/Linux environments. Familiarity with key data science and ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow, XGBoost, Hugging Face). Experience in naturallanguageprocessing, tabular data analysis, or computer vision. SQL proficiency. Exposure to containerisation (Docker, Kubernetes) and cloud-native architectures. Experience with CI/CD, automated testing, and More ❯
Oxford, England, United Kingdom Hybrid / WFH Options
Akrivia Health
implementation. ● Experience working on Cloud-native products and services. ● Experience working on AI/Machine Learning or Big Data projects. ● Experience/knowledge of AI in healthcare in particular naturallanguage processing. You Are: ● Someone who enjoys running complex software or infrastructure projects and is comfortable talking to engineers, data scientists and team leads on a day-to More ❯
banbury, south east england, united kingdom Hybrid / WFH Options
Akrivia Health
implementation. ● Experience working on Cloud-native products and services. ● Experience working on AI/Machine Learning or Big Data projects. ● Experience/knowledge of AI in healthcare in particular naturallanguage processing. You Are: ● Someone who enjoys running complex software or infrastructure projects and is comfortable talking to engineers, data scientists and team leads on a day-to More ❯
slough, south east england, united kingdom Hybrid / WFH Options
Oscar
New Role: Data Science Engineer (NLP Focus) 💰 Salary: up to £75,000 🏠 Hybrid/Remote: Flexible, with regular London meetings 📍 Location: UK-based (preferably London) We're looking for a Data Science Engineer to join a fast-moving team working on LLM pipelines and data at scale. This is a great opportunity for someone passionate about impactful data work and … modern AI tools. What We're Looking For: ✅Few years experience in data science or engineering ✅ Strong Python skills and extensive experience with LLMs/NLP ✅ Experience building scalable data pipelines If you're a hands-on data scientist/engineer looking for your next step, we’d love to hear from you. 📩 Interested? Apply now More ❯