10 of 10 Permanent Deep Learning Jobs in the North of England

to reimagine R&D for a more predictive, efficient, and patient-focused future. Our Data & AI R&D team within the Strategy & Consulting practice is driving this change-combining deep scientific and clinical knowledge with cutting-edge technology and analytics to solve some of the industry's most complex problems. Whether optimising protocol design, enabling digital twins of clinical … shaping how they apply data, analytics, and innovation across the product development lifecycle A global network of multidisciplinary experts in AI, clinical development, regulatory strategy, and digital health Continuous learning and growth through Accenture's world-class training programs, mentorship, and access to cutting-edge tools and knowledge A collaborative, purpose-driven culture that encourages bold thinking, values diverse … and innovation initiatives within the R&D team and wider Life Sciences practice We are looking for experience in the following skills: Relevant work experience in data science, machine learning, and business analytics Practical experience in coding languages eg. Python, R, Scala, etc.; (Python preferred) Proficiency in database technologies eg. SQL, ETL, No-SQL, DW, and Big Data technologies More ❯

based in Bangkok. We are looking for ambitious and agile data scientists that would like to seize the opportunity to work on some of the most challenging productive machine learning and big data platforms worldwide, processing some 600B events every day and making some 5B predictions. As part of the Data Science and Machine Learning (AI/ML … team you will be exposed to real-world challenges such as: dynamic pricing, predicting customer intents in real time, ranking search results to maximize lifetime value, classifying and deep learning content and personalization signals from unstructured data such as images and text, making personalized recommendations, innovating algorithm-supported promotions and products for supply partners, discovering insights from big More ❯

analyse large data sets to 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 advanced statistical/mathematical models More ❯

analyse large data sets to 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 advanced statistical/mathematical models More ❯

analyse large data sets to 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 advanced statistical/mathematical models More ❯

Role Overview: This is an exciting opportunity to join our Consulting Department in Sheffield as a Machine Learning Developer , where you'll contribute to innovative, data-driven projects that help clients solve complex business challenges through AI and machine learning solutions. If you're passionate about AI and eager to apply your skills in a fast-paced, client … document processing using traditional models and Generative AI - particularly in using open-source models for achieving business outcomes. Experience delivering to production in python, with a focus on machine learning, deep learning, natural language processing, generative AI, image processing and OCR all additional positives. Experience with some of the following frameworks - TensorFlow, Pytorch, Hugging face, Spacy, OpenCV More ❯

solutions. This hands-on role 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 models including LLMs. Familiarity with … technologies like RAG, vector databases (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 solutions with real-world needs. … standards. Stay informed on developments in AI and ML, particularly around generative AI, and evaluate their applicability within the organisation. Contribute to a culture of curiosity, experimentation and continuous learning within the team. Skills & Experience: You will have the following skills or proven experience: Strong programming skills in Python and experience with AI/ML libraries (e.g. PyTorch, TensorFlow More ❯

be part of a world-class team of PhDs, ML engineers, and imaging specialists building the future of healthcare AI. 🔬 What You'll Be Working On Designing and training deep learning models on 3D medical imaging data (CBCT, MRI, CT, etc.) Developing preprocessing and segmentation pipelines for volumetric datasets Building robust, scalable training and evaluation workflows Collaborating with … CBCT, MRI, CT, ultrasound, etc.) PhD in AI, Biomedical Engineering, Computer Vision, or related field (or MSc + significant experience) Solid grasp of image segmentation, 3D data handling, and deep learning architectures Bonus: experience in regulated environments (e.g. ISO 13485, FDA) ✅ What’s On Offer High-impact work shaping the future of AI in healthcare Collaborate with exceptional More ❯

subsequent event or alert would be triggered. We have dedicated people in the team that would develop any ML models that are required , so an expert level of Machine Learning is not essential, but a good understanding of what a model does, and how to run inference and interpret the results is an advantage . Key Responsibilities: Work with … positive and enthusiastic attitude. A strong customer and real-world focus and a desire to see their solutions working in a production environment. Desirable A good understanding of Machine Learning and Deep Learning concepts, different model types and how to run inference on them. These are principally computer vision models. Experience with Deep Learning frameworks … acceleration and optimisation Why Join Us? Be part of a passionate, talented team in a collaborative environment. Work on innovative projects that make a global impact. Opportunities for continuous learning and professional growth . Competitive salary and benefits package. Enjoy work model that balances flexibility with team interaction. More ❯

Familiarity with tools for working with Large Language Models via API (e.g. OpenAI, LangChain, LlamaIndex), or in a local context (e.g. HuggingFace transformers). Experience with natural language processing, deep learning and generative AI including prompt engineering. Experience supporting and enabling technical teams via upskilling, mentoring and conflict resolution. Experience designing CI/CD processes to support rapid … you against these behaviours during the selection process: Leadership Communicating and Influencing Delivering at Pace Technical skills We'll assess you against these technical skills during the selection process: Learning and development tailored to your role. An environment with flexible working options. A culture encouraging inclusion and diversity. ACivil Service Pension which provides an attractive pension, benefits for dependants More ❯