226 to 250 of 1,441 Deep Learning Jobs in the UK

Experience with data engineering and building robust data pipelines for AI/ML workloads on GCP (e.g., BigQuery, Dataflow). • Solid understanding of core AI/ML concepts, including deep learning, neural networks, NLP, and machine learning algorithms. • Familiarity with MLOps principles and tools for deploying, managing, and monitoring ML models in production. • Excellent problem-solving skills … with a passion for building innovative and impactful AI solutions. • Google Professional Cloud Architect certification Preferred Qualifications: • Google Cloud Machine Learning Engineer or equivalent. • Experience leading digital transformation or AI/ML adoption in enterprise retail environments. • Familiarity with headless commerce, product catalog systems, and in-store analytics solutions. • Knowledge of GDPR and other compliance frameworks relevant to retail. More ❯

Experience with data engineering and building robust data pipelines for AI/ML workloads on GCP (e.g., BigQuery, Dataflow). • Solid understanding of core AI/ML concepts, including deep learning, neural networks, NLP, and machine learning algorithms. • Familiarity with MLOps principles and tools for deploying, managing, and monitoring ML models in production. • Excellent problem-solving skills … with a passion for building innovative and impactful AI solutions. • Google Professional Cloud Architect certification Preferred Qualifications: • Google Cloud Machine Learning Engineer or equivalent. • Experience leading digital transformation or AI/ML adoption in enterprise retail environments. • Familiarity with headless commerce, product catalog systems, and in-store analytics solutions. • Knowledge of GDPR and other compliance frameworks relevant to retail. More ❯

Experience with data engineering and building robust data pipelines for AI/ML workloads on GCP (e.g., BigQuery, Dataflow). • Solid understanding of core AI/ML concepts, including deep learning, neural networks, NLP, and machine learning algorithms. • Familiarity with MLOps principles and tools for deploying, managing, and monitoring ML models in production. • Excellent problem-solving skills … with a passion for building innovative and impactful AI solutions. • Google Professional Cloud Architect certification Preferred Qualifications: • Google Cloud Machine Learning Engineer or equivalent. • Experience leading digital transformation or AI/ML adoption in enterprise retail environments. • Familiarity with headless commerce, product catalog systems, and in-store analytics solutions. • Knowledge of GDPR and other compliance frameworks relevant to retail. More ❯

Experience with data engineering and building robust data pipelines for AI/ML workloads on GCP (e.g., BigQuery, Dataflow). • Solid understanding of core AI/ML concepts, including deep learning, neural networks, NLP, and machine learning algorithms. • Familiarity with MLOps principles and tools for deploying, managing, and monitoring ML models in production. • Excellent problem-solving skills … with a passion for building innovative and impactful AI solutions. • Google Professional Cloud Architect certification Preferred Qualifications: • Google Cloud Machine Learning Engineer or equivalent. • Experience leading digital transformation or AI/ML adoption in enterprise retail environments. • Familiarity with headless commerce, product catalog systems, and in-store analytics solutions. • Knowledge of GDPR and other compliance frameworks relevant to retail. More ❯

Experience with data engineering and building robust data pipelines for AI/ML workloads on GCP (e.g., BigQuery, Dataflow). • Solid understanding of core AI/ML concepts, including deep learning, neural networks, NLP, and machine learning algorithms. • Familiarity with MLOps principles and tools for deploying, managing, and monitoring ML models in production. • Excellent problem-solving skills … with a passion for building innovative and impactful AI solutions. • Google Professional Cloud Architect certification Preferred Qualifications: • Google Cloud Machine Learning Engineer or equivalent. • Experience leading digital transformation or AI/ML adoption in enterprise retail environments. • Familiarity with headless commerce, product catalog systems, and in-store analytics solutions. • Knowledge of GDPR and other compliance frameworks relevant to retail. More ❯

Experience with data engineering and building robust data pipelines for AI/ML workloads on GCP (e.g., BigQuery, Dataflow). • Solid understanding of core AI/ML concepts, including deep learning, neural networks, NLP, and machine learning algorithms. • Familiarity with MLOps principles and tools for deploying, managing, and monitoring ML models in production. • Excellent problem-solving skills … with a passion for building innovative and impactful AI solutions. • Google Professional Cloud Architect certification Preferred Qualifications: • Google Cloud Machine Learning Engineer or equivalent. • Experience leading digital transformation or AI/ML adoption in enterprise retail environments. • Familiarity with headless commerce, product catalog systems, and in-store analytics solutions. • Knowledge of GDPR and other compliance frameworks relevant to retail. More ❯

status Employment history going back 3 continuous years Unspent criminal record check (Disclosure and Barring Service) Your Role We are looking for individuals with strong technical knowledge in machine learning, GenAI, computer vision, and data science, combined with solid solution architecture and software engineering skills. You will design and build deployable solutions at scale, collaborate with clients to identify … their whole self to work, emphasizing equity and diversity as part of our daily culture. Your Skills and Experience Proficiency in AI techniques such as supervised and unsupervised machine learning, GenAI, deep learning, graph analytics, NLP, sentiment analysis, etc. Excellent communication skills to present complex work clearly to clients and manage stakeholder relationships. Experience winning work with More ❯

Senior Applied Scientist, EU Ops Concessions at Amazon The EU Ops Concessions team is looking for a motivated, creative and customer obsessed Snr. Applied Scientist with a strong machine learning background, to develop advanced analytics models (Computer Vision, LLMs, etc.) that improve customer experiences. We are the voice of the customer in Amazon's operations, and we take that … effective models to address business challenges Communicate with various internal stakeholders and external audiences Basic Qualifications PhD Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning Experience in building machine learning models for business application Experience in Computer Vision modelling and techniques Preferred Qualifications Experience with modeling More ❯

continuous years, and unspent criminal record check (known as Disclosure and Barring Service) Your Role We are looking for people with strong technical knowledge in areas such as machine learning, GenAI, computer vision, and data science, combined with solid solution architecture and software engineering skills, that will allow us to design and build solutions which can be deployed at … working reality. We have built an inclusive and welcoming environment, for everyone. Your Skills and Experience Capabilities in a range of AI techniques (e.g. supervised and un-supervised machine learning techniques, GenAI, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection, etc.). Strong communication skills - able to compellingly present work … through e.g. the RFI/RFP process, as preferred bidder, documented bids and face to face presentations. Experience of data science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and machine learning frameworks (e.g. Keras, Tensorflow, PyTorch, scikit-learn) Cloud platforms – demonstrable experience of building and deploying solutions to Cloud (e.g. AWS, Azure, Google Cloud) including Cloud provisioning tools (e.g. Terraform More ❯

continuous years, and unspent criminal record check (known as Disclosure and Barring Service) Your Role We are looking for people with strong technical knowledge in areas such as machine learning, GenAI, computer vision, and data science, combined with solid solution architecture and software engineering skills, that will allow us to design and build solutions which can be deployed at … working reality. We have built an inclusive and welcoming environment, for everyone. Your Skills and Experience Capabilities in a range of AI techniques (e.g. supervised and un-supervised machine learning techniques, GenAI, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection, etc.). Strong communication skills - able to compellingly present work … through e.g. the RFI/RFP process, as preferred bidder, documented bids and face to face presentations. Experience of data science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and machine learning frameworks (e.g. Keras, Tensorflow, PyTorch, scikit-learn) Cloud platforms – demonstrable experience of building and deploying solutions to Cloud (e.g. AWS, Azure, Google Cloud) including Cloud provisioning tools (e.g. Terraform More ❯

continuous years, and unspent criminal record check (known as Disclosure and Barring Service) Your Role We are looking for people with strong technical knowledge in areas such as machine learning, GenAI, computer vision, and data science, combined with solid solution architecture and software engineering skills, that will allow us to design and build solutions which can be deployed at … working reality. We have built an inclusive and welcoming environment, for everyone. Your Skills and Experience Capabilities in a range of AI techniques (e.g. supervised and un-supervised machine learning techniques, GenAI, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection, etc.). Strong communication skills - able to compellingly present work … through e.g. the RFI/RFP process, as preferred bidder, documented bids and face to face presentations. Experience of data science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and machine learning frameworks (e.g. Keras, Tensorflow, PyTorch, scikit-learn) Cloud platforms – demonstrable experience of building and deploying solutions to Cloud (e.g. AWS, Azure, Google Cloud) including Cloud provisioning tools (e.g. Terraform More ❯

continuous years, and unspent criminal record check (known as Disclosure and Barring Service) Your Role We are looking for people with strong technical knowledge in areas such as machine learning, GenAI, computer vision, and data science, combined with solid solution architecture and software engineering skills, that will allow us to design and build solutions which can be deployed at … working reality. We have built an inclusive and welcoming environment, for everyone. Your Skills and Experience Capabilities in a range of AI techniques (e.g. supervised and un-supervised machine learning techniques, GenAI, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection, etc.). Strong communication skills - able to compellingly present work … through e.g. the RFI/RFP process, as preferred bidder, documented bids and face to face presentations. Experience of data science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and machine learning frameworks (e.g. Keras, Tensorflow, PyTorch, scikit-learn) Cloud platforms – demonstrable experience of building and deploying solutions to Cloud (e.g. AWS, Azure, Google Cloud) including Cloud provisioning tools (e.g. Terraform More ❯

continuous years, and unspent criminal record check (known as Disclosure and Barring Service) Your Role We are looking for people with strong technical knowledge in areas such as machine learning, GenAI, computer vision, and data science, combined with solid solution architecture and software engineering skills, that will allow us to design and build solutions which can be deployed at … working reality. We have built an inclusive and welcoming environment, for everyone. Your Skills and Experience Capabilities in a range of AI techniques (e.g. supervised and un-supervised machine learning techniques, GenAI, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection, etc.). Strong communication skills - able to compellingly present work … through e.g. the RFI/RFP process, as preferred bidder, documented bids and face to face presentations. Experience of data science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and machine learning frameworks (e.g. Keras, Tensorflow, PyTorch, scikit-learn) Cloud platforms – demonstrable experience of building and deploying solutions to Cloud (e.g. AWS, Azure, Google Cloud) including Cloud provisioning tools (e.g. Terraform More ❯

Data Scientists to define and execute on the future path for our products. Key Responsibilities: - Work closely with senior engineers and data scientists to quickly learn and apply machine learning techniques to real-world problems, shipping results fast, all whilst meeting launch deadlines. - Take ownership of end-to-end ML model development-from data preprocessing and feature engineering to … training, testing, and deployment. - Collaborate across teams to implement machine learning solutions into production systems, ensuring that models are scalable, reliable, and effective. - Actively contribute to refining and improving existing models and systems. If something can be optimized, you're on it-constantly looking for ways to enhance performance. - Quickly analyze data and generate insights to drive product decisions. … the product as you go. Requirements: - A degree in Computer Science, Data Science, or a related field (or equivalent practical experience). - 2-3 years of experience in machine learning, with a strong understanding of core ML algorithms and frameworks (e.g., scikit-learn, TensorFlow, PyTorch). - Hands-on experience with data preprocessing, feature engineering, and model training for real More ❯

Data Scientists to define and execute on the future path for our products. Key Responsibilities: - Work closely with senior engineers and data scientists to quickly learn and apply machine learning techniques to real-world problems, shipping results fast, all whilst meeting launch deadlines. - Take ownership of end-to-end ML model development-from data preprocessing and feature engineering to … training, testing, and deployment. - Collaborate across teams to implement machine learning solutions into production systems, ensuring that models are scalable, reliable, and effective. - Actively contribute to refining and improving existing models and systems. If something can be optimized, you're on it-constantly looking for ways to enhance performance. - Quickly analyze data and generate insights to drive product decisions. … the product as you go. Requirements: - A degree in Computer Science, Data Science, or a related field (or equivalent practical experience). - 2-3 years of experience in machine learning, with a strong understanding of core ML algorithms and frameworks (e.g., scikit-learn, TensorFlow, PyTorch). - Hands-on experience with data preprocessing, feature engineering, and model training for real More ❯

You’ll Be Doing Leadership and Coaching: Manage, nurture, and develop a team of AI Data Scientists. Innovation and Creativity: Explore new ideas, take calculated risks, and foster continuous learning and refinement. Commercial Acumen: Approach problem-solving with a business perspective, demonstrating agility and adaptability. Collaborative Spirit: Work effectively in team settings, energizing cross-functional collaborations using strong interpersonal … strong expertise in Python, including libraries such as TensorFlow, PyTorch, and Hugging Face Transformers, with a solid understanding of LLM architectures. You should be well-versed in various machine learning techniques, including supervised, unsupervised, and semi-supervised learning, as well as neural networks, support vector machines (SVM), tree-based methods, and deep learning algorithms. Knowledge of … and selecting appropriate models for specific tasks is highly desirable. You will also be responsible for data gathering, cleaning, preprocessing, feature engineering, and developing, training, evaluating, and optimizing machine learning models to achieve high performance. Application Details If this sounds like you, please get in touch! The closing date for applications is 29.05.2025 . Location Flexible/Home working More ❯

We are recruiting at various levels within the salary range, so candidates are not expected to be experienced in all areas listed below. AI techniques (supervised and unsupervised machine learning, deep learning, graph data analytics, statistical analysis, time series, geospatial analysis, NLP, sentiment analysis, pattern detection, etc.) Python, R, or Spark for data insights Data Bricks/ More ❯

and experience — talk with your recruiter to learn more. Base pay range Direct message the job poster from SR2 | Socially Responsible Recruitment | Certified B Corporation Senior Recruitment Consultant - Machine Learning & AI Recruiter | Connecting Top Talent with Cutting-Edge Companies Location: London | Hybrid Working (2 days in Office) An ambitious and fast-growing financial technology company on a mission to … production (e.g., Flask, Django, Gunicorn, SQLAlchemy, Psycopg2). Strong background in working with large datasets using tools like Pandas, NumPy, or Spark. At least 2 years' experience with machine learning, deep learning, or AI systems. Familiarity with key libraries and frameworks such as TensorFlow, Scikit-learn, PyTorch, Transformers, LangChain, BeautifulSoup, and OpenCV. Experience with AI APIs and … or compliance frameworks. Academic background in mathematics, statistics, or quantitative disciplines. Who You Are: A natural problem-solver and independent thinker with a structured approach to work. Passionate about learning, growth, and continuous improvement. Organised and self-motivated, with excellent time management. Comfortable taking initiative and ownership of technical decisions. A collaborative team player who thrives in a dynamic More ❯

Scientist to join our expanding Data Science team. In these roles, you'll lead cutting-edge AI/ML research initiatives at the intersection of cybersecurity and advanced machine learning, with a focus on mechanistic explainability, self-supervised learning, representation learning, and innovations that extend beyond current generative AI capabilities. As part of our team, you'll … individuals from diverse professional backgrounds who share an interest in fundamental AI research and its practical applications. What You'll Do: Lead research initiatives in mechanistic explainability, self-supervised learning, and representation learning to advance fundamental AI capabilities for cybersecurity applications Develop novel machine learning architectures that move beyond current generative AI paradigms, creating more robust, transparent … inquiry and innovation What You'll Need: PhD in Computer Science, Statistics, Mathematics, or related field, or equivalent research experience, with 5+ years post-graduation experience in advanced machine learning research Strong theoretical foundation in machine learning fundamentals and statistical methods Proficiency with Python, Deep Learning frameworks (TensorFlow, PyTorch), and distributed computing environments Excellent scientific writing More ❯

language models, and dense vector databases. We are expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products. At Bloomberg, we believe in fostering a transparent and efficient financial marketplace. Our business … access to respond to clients query, contributing to shaping and implementing the LLM agentic ecosystem in Bloomberg and scaling generative AI applications to thousands of users Applying traditional machine learning, NLP and GenerativeAI to prototype and productionize client-facing search and streaming applications for discovering the most relevant and timely financial news You'll have the opportunity to: Collaborate … or an MSc in CS, ML, Math, Statistics, Engineering with prior industry experience. We are happy to consider candidates with a Ph.D and industry experience through internships Experience with deep learning frameworks such as PyTorch Proficiency in software engineering An understanding of Computer Science and software engineering fundamentals such as data structures and algorithms and a data oriented More ❯

assistance in the procurement, provision, delivery, installation, maintenance and use of IT systems and their environments. Research and development in Artificial Intelligence and Robotics. Use of Artificial Intelligence, Machine Learning, Automation to improve existing systems and in new systems where required. Use of Big Data technologies to handle data related issues and to replace existing traditional databases where required. … completed a course from a trusted source such as Oracle Corporation or Microsoft would be a bonus. Experience: Experience in applying Artificial Intelligence in practical systems Experience in Machine Learning, NLP, Deep Learning, Neural Networks and data processing libraries (Tensorflow, Sci-kit learn, Pandas, Scipy, Numpy – at least three or more) Experience in Data mining, Data warehousing More ❯

business intelligence reports and advanced models to drive key business decisions and strategies. The role requires a strong technical understanding of data platforms, visualisation tools, statistical methods and machine learning techniques. You’ll need to be adaptable, flexible and resourceful in delivering a challenging roadmap whilst our data landscape is transforming. This is a crucial appointment and an amazing … and workflows for data collection, analysis and reporting. Data analysis Analyse data trends, patterns and anomalies using statistical techniques to derive meaningful insights. Model development and evaluation Utilise machine learning, NLP, Generative AI, and other advanced statistical methods to build predictive and descriptive models. Validate and refine models to ensure accuracy and reliability. Reporting A proven track record of … local legislation) and that best practices are applied. Essential technical skills Proficient in SQL and Python. An ability to analyse complex datasets and extract actionable insights. Experience with machine learning and deep learning frameworks (e.g. TensorFlow, PyTorch, Scikit-learn). Skilled in building credible statistical models. Knowledge of various learning algorithms (supervised, unsupervised, reinforcement). Experience More ❯

our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empowers 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 - We're continuously raising … skills for opportunity capture and proposal development. - Excellent communication, presentation, and negotiation skills with the ability to build and maintain C-level client relationships. - Experience building data or machine learning pipelines, incl. deep learning, GenAI, LLM, etc. as well as hands-on experience on AWS services like SageMaker and Bedrock, and programming skills such as Python, R More ❯

IA; Design, develop, and implement artificial intelligence (AI) models and algorithms for various applications; Work on a broad set of tasks encompassing various forms of machine intelligence (e.g., machine learning, algorithms, neural networks, computer vision, robotics) to develop AI models for specific applications; Train AI models using various algorithms and techniques, optimizing for accuracy, efficiency, and interpretability; Deploy AI … several years of experience working with different AI capabilities and showcasing your passion both at work and outside work in the development of highly complex AI models (NLP, LLMs, Deep learning etc); Technical proficiency in programming languages and frameworks commonly used in NLP and AI (e.g., Python, TensorFlow, PyTorch); Excellent communication skills to collaborate effectively with cross-functional More ❯

IA; Design, develop, and implement artificial intelligence (AI) models and algorithms for various applications; Work on a broad set of tasks encompassing various forms of machine intelligence (e.g., machine learning, algorithms, neural networks, computer vision, robotics) to develop AI models for specific applications; Train AI models using various algorithms and techniques, optimizing for accuracy, efficiency, and interpretability; Deploy AI … several years of experience working with different AI capabilities and showcasing your passion both at work and outside work in the development of highly complex AI models (NLP, LLMs, Deep learning etc); Technical proficiency in programming languages and frameworks commonly used in NLP and AI (e.g., Python, TensorFlow, PyTorch); Excellent communication skills to collaborate effectively with cross-functional More ❯