5 of 5 Deep Learning Jobs in the North West

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 ...

Role: As a Senior AI/ML Engineer, you’ll play a pivotal role in designing, building, and deploying scalable AI and machine learning solutions across Forge Holiday Group. From data pipelines to machine learning models, your work will power customer interactions, internal insights, and commercial decision-making. … Build and maintain end-to-end AI/ML pipelines in Microsoft Fabric Design, train, deploy, and monitor machine learning and deep learning models Implement MLOps best practices: versioned data & features, CI/CD pipelines, model promotion, and rollback Collaborate with data scientists, analytics engineers, product managers ...

Time Contract Type: Permanent Based in Manchester, this permanent full-time role plays a central part in expanding the use of advanced analytics, machine learning and AI across Manchester City's First Team Performance environment. You will help turn complex data into practical insight, building tools and models that … practitioners and to continually improve how we understand and apply performance information. The Role This role sits at the intersection of performance science, machine learning and practical football decision making. You will help shape how the First Team uses data to better understand player health, availability, physical performance ...

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 ...

involves close collaboration with data scientists and cross-functional teams across the AI workflowfrom exploration and model development to deploying generative AI and machine learning pipelines. The ideal candidate will have strong Python skills, experience with ML frameworks (e.g., PyTorch, TensorFlow), and a background in training or fine-tuning … e.g., Qdrant), and MLOps tools (e.g., DVC) is highly valued. A strong understanding of responsible AI practices and a passion for experimentation and continuous learning are essential. Responsibilities: Design, prototype and implement AI models in collaboration with diverse teams. Collaborate with product managers, engineers and domain experts to align ...