12 of 12 Deep Learning Jobs in Manchester

Fitch Group Emerging technology AI Center of excellence (COE) group is seeking a senior machine learning or AI engineerto be part of a team that will be dedicated to build and support Generative AI, Machine learning, Deep Learning and Data science solutions across the organization. … candidate will work on some flagship Fitch productsThe candidate will have an excellent opportunity to work in the cutting-edge field of machine learning and data scienceFitch promotes an excellent work culture and is known for providing a good work life balanceWe'll Count on You To: Work closely ...

with a leading UK retail insurer to appoint a Senior Data Scientist into their pricing function. It's a role with genuine technical range - deep learning, predictive analytics and machine learning - and a direct line of sight into how your models shape business decisions, rather than sitting … behind someone else's. What you'll do Build and evaluate machine learning models, from deep learning through to predictive analytics, that solve genuine business problems. Own the data science lifecycle across large, multi-source datasets, from analysis and cleansing through to deployment. Apply a broad statistical ...

available £45k to £95k DoE plus 15% clearance bonus Must be willing to be full-time on-site in Manchester Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced … personal profile in an inclusive culture. What will the Data Scientist be doing? Our client is seeking individuals with strong technical expertise in machine learning, GenAI, computer vision, and data science, alongside solid skills in solution architecture and software engineering to design and scale impactful solutions. This role involves ...

Group COO and CSO functions What You’ll Need... Confirmed experience in leading data science projects in cybersecurity, fraud, or behavioural analytics. Data Engineering - Deep expertise in Python, ML frameworks (e.g. TensorFlow, PyTorch), and cloud platforms (preferably GCP). Deep Learning Theory & Applications - Strong grasp of anomaly … detection, time-series modelling, and deep learning architectures. Experience with LLMs and generative AI in production environments is highly desirable. Artificial Intelligence Ethics - A passion for ethical AI, model governance, and secure ML operations. Excellent communication and customer engagement skills Innovators Mentality - An innovator and change agent ...

Description As a Senior AI/ML Consultant in AWS Professional Services, you will lead the delivery of cutting‐edge artificial intelligence and machine learning solutions for our enterprise customers. You'll drive innovation in Artificial Intelligence and Machine Learning, shape technical strategy, and serve as a trusted … curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth ...

available £45k to £95k DoE plus 15% clearance bonus Must be willing to be full-time on-site in Manchester Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced … personal profile in an inclusive culture. What will the Data Scientist be doing? Our client is seeking individuals with strong technical expertise in machine learning, GenAI, computer vision, and data science, alongside solid skills in solution architecture and software engineering to design and scale impactful solutions. This role involves ...

core of the role is hands on delivery. Key Responsibilities Model ownership from start to finish: Design, build, and deploy production grade machine learning models, from problem framing and experimentation through to live deployment and monitoring. Technical depth: Apply strong statistical modelling, ML, and (where relevant) NLP/… Contribute to how the wider data science function approaches tooling, methodology, and model governance. Technical Environment Languages/Tools: Python (NumPy, Pandas, Scikit learn), deep learning frameworks (PyTorch/TensorFlow), SQL. MLOps: MLflow, cloud ML platforms (Azure ML, AWS SageMaker, or Databricks). Focus areas: Predictive modelling, recommender ...

discover new insights. Working in a multi-disciplinary team within a highly technical and complex environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, Deep Learning, Statistical Relational Learning, Ensemble Methods Model using ...

discover new insights. Working in a multi-disciplinary team within a highly technical and complex environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, Deep Learning, Statistical Relational Learning, Ensemble Methods Model using ...

achievable improvements that get used every day. We'll Count on You To: Design and build ML/AI solutions (classical ML + modern deep learning/LLM approaches) aligned to product outcomes. Demonstrate proficiency in full-stack technologies for enterprise-scale websites and applications. Work as part … stakeholders to understand business needs, define and develop applications/architecture, design, review, implement and optimize Engineering processes. Build data expertise and a deep understanding of business domain knowledge and own data quality for allocated areas of ownershipMaintain and enhance microservices based components for the application suite. Recommend, create ...

understanding of platform, DevOps and systems engineering. They also value genuine technical curiosity. If you keep up with new technology, experiment with AI/deep learning or have side projects outside your day job, they'll want to hear about them. A STEM background is beneficial ...

experience in NLP and large-scale data analysis. You will work in a multidisciplinary, highly technical team to apply scalable data mining and machine learning techniques, including kernel methods and deep learning. Responsibilities include translating business needs into technical requirements and leveraging distributed computing tools such ...