14 of 14 Deep Learning Jobs in Scotland

Lead a team of exceptional Data Scientists and ML Engineers building next-generation AI solutions for financial markets. Drive innovation using LLMs, Generative AI, Deep Learning, Transformers, Agentic AI, and advanced Machine Learning to deliver real-world business impact. If you're passionate about shaping the future … create measurable business value at scale. This role combines technical leadership, people leadership, and strategic execution. You will drive innovation in AI and Machine Learning, establish engineering excellence, and develop exceptional talent while delivering production-grade solutions that solve complex customer problems. The ideal candidate has a consistent track ...

Applied Artificial Intelligence and Machine Learning (Applied AI/ML) team within Infrastructure Platforms is transforming how the firm delivers strategic infrastructure platforms-based solutions—both by applying AI/ML within engineering workflows and by building scalable AI hosting platforms and capabilities for enterprise use. As Lead Data … production drift monitoring, supported by automated data profiling and quality checks (leakage detection, imbalance, missingness)Select and apply models end-to-end across ML, deep learning, and LLM-based approaches, including training, tuning, calibration/thresholding, robustness testing, and structured error/failure-mode analysis. Co-Develop ...

Applied Artificial Intelligence and Machine Learning (Applied AI/ML) team within Infrastructure Platforms is transforming how the firm delivers strategic infrastructure platforms-based solutions—both by applying AI/ML within engineering workflows and by building scalable AI hosting platforms and capabilities for enterprise use. As Lead Data … production drift monitoring, supported by automated data profiling and quality checks (leakage detection, imbalance, missingness) Select and apply models end-to-end across ML, deep learning, and LLM-based approaches, including training, tuning, calibration/thresholding, robustness testing, and structured error/failure-mode analysis. Co-Develop ...

nature is valued in real‐world decision‐making, we’d love to hear from you. Role Purpose & Responsibilities We are hiring a Machine Learning Scientist to contribute to the development of models – from classical statistics and gradient‐boosted methods through to deep learning when warranted – that turn … Must‐have requirements Degree in a quantitative field: environmental/earth science, computer science, physics, maths, engineering, or similar. 3+ years of applied machine‐learning experience, including time spent in an industry, product, or startup setting (shipping models). Expertise in geospatial Python tooling: rasterio, xarray, geopandas, GDAL ...

failure modes and retraining criteria Stay current with advances in ML engineering, distributed training and biomedical AI tooling Required Qualifications Postgraduate degree in Machine Learning, Computer Science, Computational Biology or a related technical field; PhD preferred or MSc with equivalent industry experience Hands-on experience with deep learning … what is required to move from research prototypes to reliable deployment Experience collaborating with researchers during the implementation process Proficiency in Python and deep learning frameworks such as PyTorch Strong software engineering fundamentals such as writing clean, testable, well-documented and maintainable code, version control, code reviews Working ...

failure modes and retraining criteria Stay current with advances in ML engineering, distributed training and biomedical AI tooling Required Qualifications Postgraduate degree in Machine Learning, Computer Science, Computational Biology or a related technical field; PhD preferred or MSc with the equivalent industry experience Solid hands-on experience with deep learning and foundation model implementations such as transformers, pre-training, fine-tuning, ideally at scale Demonstrated experience delivering production-quality model artefacts, with a strong sense of what’s required to move from research prototypes to reliable deployment Experience working in close partnership with researchers throughout the implementation ...

Senior/Staff Machine Learning Scientist About Chemify: Chemify is revolutionising chemistry. We are creating a future where the synthesis of previously unimaginable molecules, drugs, and materials is instantly accessible. By combining AI, robotics, and the world's largest continually expanding database of chemical programs, we are accelerating chemical … full-time) or fully remote with regular travel to our Glasgow HQ/Chemifarm The Role We are seeking a Senior/Staff Machine Learning Scientist to work across the breadth of Chemify's platform — generative models for chemistry, search and planning for retrosynthesis, computer vision for telemetry from ...

with our hybrid working policy. Qualifications - Choose from various qualifications to boost your career, including certifications through Stanford University Online. Work to a personal learning plan that matches your interests and goals. Your AI era starts now At Lloyds BankingGroup,dataisn’tjust something we store in the cloud.It’sthe … decoding customer behaviour and building smarter banking tools. You could become: A Data & AI Scientist uncovering insights, makingpredictionsand solving complex problems with machine learning techniques. Always with an ethical andaccuratelens. A Machine Learning & AI Engineer designing and deploying robust ML systems that bring data science to life through ...

services (Flask or FastAPI) and the ML/NLP ecosystem (scikit-learn, pandas, NumPy, spaCy, PyTorch or TensorFlow). Demonstrated experience taking machine learning models from prototype to production - training, packaging, deployment, monitoring, retraining, and decommissioning - in real-world business applications. Proven experience working with large datasets and distributed … research feed analytics; exposure to computer vision or multi-modal document processing (OCR, layout-aware extraction) is a plus. Familiarity with AWS machine learning services such as Amazon Bedrock with EKS-based deployment. Knowledge of deep learning architectures (CNNs, transformers, sequence models) and of reinforcement learning ...

services (Flask or FastAPI) and the ML/NLP ecosystem (scikit-learn, pandas, NumPy, spaCy, PyTorch or TensorFlow). Demonstrated experience taking machine learning models from prototype to production - training, packaging, deployment, monitoring, retraining, and decommissioning - in real-world business applications. Proven experience working with large datasets and distributed … research feed analytics; exposure to computer vision or multi-modal document processing (OCR, layout-aware extraction) is a plus. Familiarity with AWS machine learning services such as Amazon Bedrock with EKS-based deployment. Knowledge of deep learning architectures (CNNs, transformers, sequence models) and of reinforcement learning ...

goals of at least one of the Centre for Data Science and AI’s programmes with commensurate output. E2. Experience in machine learning and AI, including experience in machine learning software development. E3. Experience in training deep learning models relevant in research projects. E4. Experience … goals of at least one of the Centre for Data Science and AI’s programmes with commensurate output. E6. Substantial experience in machine learning and AI, including experience in machine learning software development. E7. Evidence of high-quality publications commensurate with career stage. E8. Experience of collaborating with ...

seeking an AI Engineer for Autonomy to design, develop and deliver advanced Artificial Intelligence and Machine Learning solutions within complex and safety-critical environments. Working within a multidisciplinary AI and software engineering team, you will transform business and operational challenges into robust, scalable and secure AI capabilities. This role … technology programmes. KEY RESPONSIBILITIES: Translate business and operational requirements into AI solution designs and measurable outcomes. Develop, train and evaluate AI and Machine Learning models across areas such as computer vision, autonomy, large language models and predictive analytics. Design and maintain robust data processing, training and evaluation pipelines. Apply ...

looking for a talented Senior Algorithms Engineer to join an innovative engineering team developing advanced machine learning and computer vision solutions for complex, real-world applications. This is an exciting opportunity for an experienced engineer to work on challenging perception and intelligence problems, applying techniques across AI, computer vision … technically challenging projects, influence future development activities, and support the growth of engineering capability through collaboration and mentoring. Key Responsibilities Develop and optimise machine learning and computer vision algorithms for real-world applications. Investigate complex technical challenges, designing experiments and approaches to identify effective solutions. Analyse datasets, model performance ...

optimize training, inference, and deployment at scale. The role requires a postgraduate degree in ML/CS or related field, hands-on experience with deep learning and PyTorch, and collaboration with researchers to deliver robust biomedical AI solutions. #J-18808-Ljbffr ...