1 to 25 of 56 Deep Learning Jobs in the South East

problems in clinical settings. You will architect and implement end-to-end AI pipelines, extract insights from clinical multimodal data, and work with a team of data scientists, machine learning engineers, and analysts to define how artificial intelligence enhances robotic systems to improve patient outcomes in real-time applications. Key Responsibilities: Lead the development and deployment of deep learning and computer vision models for medical use. Design, implement, and optimize data processing pipelines across structured and unstructured healthcare datasets, including real-time imaging. Translate clinical needs into ML/AI solutions, working closely with cross-disciplinary teams including clinicians, mechanical engineers, software engineers, and regulatory experts. Architect and deliver AI systems that meet performance, safety, and … based MLOps, model validation, scalability, and deployment strategy. Ensure data security, privacy, and compliance in all aspects of model development and deployment. Integrate with data scientists to scale machine learning pipelines and infrastructure for deployment across environments. Deliver end-to-end solutions, from problem definition to post-launch operations, in alignment with product and patient outcomes. What We’re More ❯

problems in clinical settings. You will architect and implement end-to-end AI pipelines, extract insights from clinical multimodal data, and work with a team of data scientists, machine learning engineers, and analysts to define how artificial intelligence enhances robotic systems to improve patient outcomes in real-time applications. Key Responsibilities: Lead the development and deployment of deep learning and computer vision models for medical use. Design, implement, and optimize data processing pipelines across structured and unstructured healthcare datasets, including real-time imaging. Translate clinical needs into ML/AI solutions, working closely with cross-disciplinary teams including clinicians, mechanical engineers, software engineers, and regulatory experts. Architect and deliver AI systems that meet performance, safety, and … based MLOps, model validation, scalability, and deployment strategy. Ensure data security, privacy, and compliance in all aspects of model development and deployment. Integrate with data scientists to scale machine learning pipelines and infrastructure for deployment across environments. Deliver end-to-end solutions, from problem definition to post-launch operations, in alignment with product and patient outcomes. What We’re More ❯

problems in clinical settings. You will architect and implement end-to-end AI pipelines, extract insights from clinical multimodal data, and work with a team of data scientists, machine learning engineers, and analysts to define how artificial intelligence enhances robotic systems to improve patient outcomes in real-time applications. Key Responsibilities: Lead the development and deployment of deep learning and computer vision models for medical use. Design, implement, and optimize data processing pipelines across structured and unstructured healthcare datasets, including real-time imaging. Translate clinical needs into ML/AI solutions, working closely with cross-disciplinary teams including clinicians, mechanical engineers, software engineers, and regulatory experts. Architect and deliver AI systems that meet performance, safety, and … based MLOps, model validation, scalability, and deployment strategy. Ensure data security, privacy, and compliance in all aspects of model development and deployment. Integrate with data scientists to scale machine learning pipelines and infrastructure for deployment across environments. Deliver end-to-end solutions, from problem definition to post-launch operations, in alignment with product and patient outcomes. What We’re More ❯

drive model improvements, uncover key insights, and shape the future of our products, including the state-of-the-art Ultralytics YOLO models and Ultralytics HUB. Key responsibilities include: Performing deep statistical analysis on model performance across various benchmarks and datasets to identify areas for improvement. Designing and implementing advanced data augmentation strategies to enhance model robustness and generalization. Analyzing … key performance metrics to stakeholders. Automating data analysis and reporting workflows using Python scripting and CI/CD tools like GitHub Actions. Staying current with the latest research in deep learning and statistical analysis to drive innovation. Your analytical rigor will be critical to advancing Ultralytics' mission to make AI easy and accessible for everyone. 🛠️ Skills and Experience … or analytics role, preferably within the AI/ML industry. Expert-level proficiency in Python and extensive experience with data science libraries such as Pandas, NumPy, and Scikit-learn. Deep hands-on experience with deep learning frameworks, particularly PyTorch . Proven experience with statistical analysis , hypothesis testing, and data visualization techniques. Familiarity with computer vision tasks and More ❯

drive model improvements, uncover key insights, and shape the future of our products, including the state-of-the-art Ultralytics YOLO models and Ultralytics HUB. Key responsibilities include: Performing deep statistical analysis on model performance across various benchmarks and datasets to identify areas for improvement. Designing and implementing advanced data augmentation strategies to enhance model robustness and generalization. Analyzing … key performance metrics to stakeholders. Automating data analysis and reporting workflows using Python scripting and CI/CD tools like GitHub Actions. Staying current with the latest research in deep learning and statistical analysis to drive innovation. Your analytical rigor will be critical to advancing Ultralytics' mission to make AI easy and accessible for everyone. 🛠️ Skills and Experience … or analytics role, preferably within the AI/ML industry. Expert-level proficiency in Python and extensive experience with data science libraries such as Pandas, NumPy, and Scikit-learn. Deep hands-on experience with deep learning frameworks, particularly PyTorch . Proven experience with statistical analysis , hypothesis testing, and data visualization techniques. Familiarity with computer vision tasks and More ❯

drive model improvements, uncover key insights, and shape the future of our products, including the state-of-the-art Ultralytics YOLO models and Ultralytics HUB. Key responsibilities include: Performing deep statistical analysis on model performance across various benchmarks and datasets to identify areas for improvement. Designing and implementing advanced data augmentation strategies to enhance model robustness and generalization. Analyzing … key performance metrics to stakeholders. Automating data analysis and reporting workflows using Python scripting and CI/CD tools like GitHub Actions. Staying current with the latest research in deep learning and statistical analysis to drive innovation. Your analytical rigor will be critical to advancing Ultralytics' mission to make AI easy and accessible for everyone. 🛠️ Skills and Experience … or analytics role, preferably within the AI/ML industry. Expert-level proficiency in Python and extensive experience with data science libraries such as Pandas, NumPy, and Scikit-learn. Deep hands-on experience with deep learning frameworks, particularly PyTorch . Proven experience with statistical analysis , hypothesis testing, and data visualization techniques. Familiarity with computer vision tasks and More ❯

Looking for a deep learning role that could make the Mariana trench seem like a puddle? This global investment manager hires asset class experts, such as an ex-portfolio manager from a Tier 1 hedge fund to grow and manage risk. You’re going to be part of headcount growth this year to over 1000 which includes a … increase into research. You’ll collaborate to develop different machine learning models for trading strategies and create high quality signals. You'll be working at an MFT systematic multi-strat fund whose performance has been top tier over the last few years, with AUM and headcount growing. Despite their larger size, their structure remains collaborative and not solely pod … based, a rare find for an investment firm of this calibre. You will ideally have prior experience in a fund within financial services with a strong background in machine learning or a related field. Proficiency in Python/R and experience with deep learning frameworks such as PyTorch or TensorFlow will also be required. Want to join More ❯

Looking for a deep learning role that could make the Mariana trench seem like a puddle? This global investment manager hires asset class experts, such as an ex-portfolio manager from a Tier 1 hedge fund to grow and manage risk. You’re going to be part of headcount growth this year to over 1000 which includes a … increase into research. You’ll collaborate to develop different machine learning models for trading strategies and create high quality signals. You'll be working at an MFT systematic multi-strat fund whose performance has been top tier over the last few years, with AUM and headcount growing. Despite their larger size, their structure remains collaborative and not solely pod … based, a rare find for an investment firm of this calibre. You will ideally have prior experience in a fund within financial services with a strong background in machine learning or a related field. Proficiency in Python/R and experience with deep learning frameworks such as PyTorch or TensorFlow will also be required. Want to join More ❯

Looking for a deep learning role that could make the Mariana trench seem like a puddle? This global investment manager hires asset class experts, such as an ex-portfolio manager from a Tier 1 hedge fund to grow and manage risk. You’re going to be part of headcount growth this year to over 1000 which includes a … increase into research. You’ll collaborate to develop different machine learning models for trading strategies and create high quality signals. You'll be working at an MFT systematic multi-strat fund whose performance has been top tier over the last few years, with AUM and headcount growing. Despite their larger size, their structure remains collaborative and not solely pod … based, a rare find for an investment firm of this calibre. You will ideally have prior experience in a fund within financial services with a strong background in machine learning or a related field. Proficiency in Python/R and experience with deep learning frameworks such as PyTorch or TensorFlow will also be required. Want to join More ❯

behavior. Technical Skills & Qualifications: Bachelor’s degree in Computer Science, Computer Engineering, or related field (or equivalent experience). 2+ years of experience in research or prototyping within machine learning, deep learning, or natural language processing. Proficient in Python, with the ability to understand and work with a codebase containing multiple interrelated files. Experience with AI agent More ❯

behavior. Technical Skills & Qualifications:- Bachelor’s degree in Computer Science, Computer Engineering, or related field (or equivalent experience). 2+ years of experience in research or prototyping within machine learning, deep learning, or natural language processing. Proficient in Python, with the ability to understand and work with a codebase containing multiple interrelated files. Experience with AI agent More ❯

behavior. Technical Skills & Qualifications:- Bachelor’s degree in Computer Science, Computer Engineering, or related field (or equivalent experience). 2+ years of experience in research or prototyping within machine learning, deep learning, or natural language processing. Proficient in Python, with the ability to understand and work with a codebase containing multiple interrelated files. Experience with AI agent More ❯

behavior. Technical Skills & Qualifications:- Bachelor’s degree in Computer Science, Computer Engineering, or related field (or equivalent experience). 2+ years of experience in research or prototyping within machine learning, deep learning, or natural language processing. Proficient in Python, with the ability to understand and work with a codebase containing multiple interrelated files. Experience with AI agent More ❯

AI agents similar to MLEBench and BFCL. Qualifications: Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Research or prototyping experience in machine learning, deep learning, and/or natural language processing. Programming experience in Python and hands-on experience with AI agent frameworks such as Model Context Protocol. LangChain. Exposure More ❯

AI agents similar to MLEBench and BFCL. Qualifications: Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Research or prototyping experience in machine learning, deep learning, and/or natural language processing. Programming experience in Python and hands-on experience with AI agent frameworks such as Model Context Protocol. LangChain. Exposure More ❯

AI agents similar to MLEBench and BFCL. Qualifications: Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Research or prototyping experience in machine learning, deep learning, and/or natural language processing. Programming experience in Python and hands-on experience with AI agent frameworks such as Model Context Protocol. LangChain. Exposure More ❯

AI agents similar to MLEBench and BFCL. Qualifications: Bachelor’s degree in computer science, Computer Engineering, relevant technical field, or equivalent practical experience. Research or prototyping experience in machine learning, deep learning, and/or natural language processing. Programming experience in Python and hands-on experience with AI agent frameworks such as Model Context Protocol. LangChain. Exposure More ❯

AI agents similar to MLEBench and BFCL. Qualifications: Bachelor’s degree in computer science, Computer Engineering, relevant technical field, or equivalent practical experience. Research or prototyping experience in machine learning, deep learning, and/or natural language processing. Programming experience in Python and hands-on experience with AI agent frameworks such as Model Context Protocol. LangChain. Exposure More ❯

AI agents similar to MLEBench and BFCL. Qualifications: Bachelor’s degree in computer science, Computer Engineering, relevant technical field, or equivalent practical experience. Research or prototyping experience in machine learning, deep learning, and/or natural language processing. Programming experience in Python and hands-on experience with AI agent frameworks such as Model Context Protocol. LangChain. Exposure More ❯

Machine Learning Engineer £700-750/day overall assignment rate to umbrella Fully remote 6 month initial A FTSE 100 retail client are on the look for a Data Scientist/Machine Learning Engineer to join their data science function to drive cutting-edge ML technology across the business. Machine Learning Engineer, key skills: Significant experience working … as a Data Scientist/Machine Learning Engineer Solid knowledge of SQLandPython's ecosystem for data analysis (Jupyter, Pandas, Scikit Learn, Matplotlib). GCP, VertexAI experience is desirable (developing GCP machine learning services) Timeseries forecasting Solid understanding of computer science fundamentals, including data structures, algorithms, data modelling and software architecture Strong knowledge of Machine Learning algorithms (e.g. … Logistic Regression, Random Forest, XGBoost, etc.) as well as state-of-the-art research area (e.g. NLP, Transfer Learning etc.) and modern Deep Learning algorithms (e.g. BERT, LSTM, etc.) Machine Learning Engineer, timeseries, forecasting, VertexAI, GCP Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we More ❯

python/PHP SW stack. Assemble high quality prompts to create company internal benchmarks for AI agents similar to MLEBench and BFCL. Qualifications: Research or prototyping experience in machine learning, deep learning, and/or natural language processing. Programming experience in Python and hands-on experience with AI agent frameworks such as Model Context Protocol. LangChain. Exposure More ❯

science professional looking to take the next step in your career? Campion Pickworth are working with a leading International professional services firm to recruit for Data Science and Machine Learning Assistant Manager to support the delivery of innovative analytics and machine learning solutions in a fast-paced, supportive environment. This is a unique opportunity to work on a … shaping our data capabilities and delivering meaningful insights that support business-critical decisions. What You’ll Do Lead the development and deployment of advanced analytics, data science, and machine learning tools and solutions. Use technologies such as Python, R, Azure, Databricks, SQL, Power BI, and Tableau to deliver actionable insights from complex data. Guide and mentor junior data scientists … data science solutions. Manage multiple projects from inception to deployment within cloud-based environments. Maintain high standards in code review, documentation, and delivery in a DevOps context. Apply a deep understanding of ML techniques, from supervised/unsupervised learning to generative AI and large language models. What We’re Looking For Essential Skills and Experience: Proven ability to More ❯

science professional looking to take the next step in your career? Campion Pickworth are working with a leading International professional services firm to recruit for Data Science and Machine Learning Assistant Manager to support the delivery of innovative analytics and machine learning solutions in a fast-paced, supportive environment. This is a unique opportunity to work on a … shaping our data capabilities and delivering meaningful insights that support business-critical decisions. What You’ll Do Lead the development and deployment of advanced analytics, data science, and machine learning tools and solutions. Use technologies such as Python, R, Azure, Databricks, SQL, Power BI, and Tableau to deliver actionable insights from complex data. Guide and mentor junior data scientists … data science solutions. Manage multiple projects from inception to deployment within cloud-based environments. Maintain high standards in code review, documentation, and delivery in a DevOps context. Apply a deep understanding of ML techniques, from supervised/unsupervised learning to generative AI and large language models. What We’re Looking For Essential Skills and Experience: Proven ability to More ❯

science professional looking to take the next step in your career? Campion Pickworth are working with a leading International professional services firm to recruit for Data Science and Machine Learning Assistant Manager to support the delivery of innovative analytics and machine learning solutions in a fast-paced, supportive environment. This is a unique opportunity to work on a … shaping our data capabilities and delivering meaningful insights that support business-critical decisions. What You’ll Do Lead the development and deployment of advanced analytics, data science, and machine learning tools and solutions. Use technologies such as Python, R, Azure, Databricks, SQL, Power BI, and Tableau to deliver actionable insights from complex data. Guide and mentor junior data scientists … data science solutions. Manage multiple projects from inception to deployment within cloud-based environments. Maintain high standards in code review, documentation, and delivery in a DevOps context. Apply a deep understanding of ML techniques, from supervised/unsupervised learning to generative AI and large language models. What We’re Looking For Essential Skills and Experience: Proven ability to More ❯

Join a fast-growing tech and software innovation company in the heart of London. We’re looking for a Data Scientist eager to apply advanced modelling, analytics, and machine learning to build cutting-edge software solutions that empower businesses, streamline operations, and unlock growth. 🔍 Your Responsibilities: Data exploration & modelling: Work with large, complex datasets to uncover insights and build … scalable predictive models. Machine learning development: Design, train, and deploy models for applications. Software integration: Collaborate with engineers to integrate data-driven models into live products and platforms. Tool & framework development: Build algorithms, APIs, and analytical tools that enhance product capabilities and improve user experience. Data storytelling & reporting: Create dashboards and visualisations that communicate insights clearly to both technical … field: Statistics, Mathematics, Computer Science, Engineering, or similar. Programming proficiency: Strong experience with Python and SQL; familiarity with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch. Machine learning expertise: Hands-on experience in supervised and unsupervised learning, with exposure to NLP, computer vision, or deep learning a plus. Data visualisation: Proficiency in Tableau, Power More ❯