51 to 75 of 121 Permanent Deep Learning Jobs

who will positively shape our future.What are the day-to-day tasks?Design and develop AI models and solutions using Azure OpenAI, Azure Machine Learning, and Azure Cognitive Services to address specific business challenges. Implement and maintain scalable and efficient AI systems, ensuring they meet business requirements and performance … with business analysts, scientists, and IT teams to integrate AI solutions into existing systems and work flows Stay abreast of advancements in AI, machine learning, and Azure services, incorporating new technologies and methodologies to continually improve solution offerings. Provide expertise and guidance on AI best practices, contributing to the … and delegates tasksWhat skills and knowledge are we looking for?Programming Skills: Proficiency in programming languages such as Python, C#, or Java, with a deep understanding of software development principles.Experience with Azure AI solutions, including Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning. Familiarity with Azure Databricks more »

us a global employer of choice!We're a diverse team, uniting individuals of over 40 different nationalities and from varied backgrounds, with machine learning researchers and motor engineers collaborating together on a daily basis. We empower each team member to have tangible impact and grow their own scope … use input capture applications for our end users, to creating a state-of-the-art damage assessment engine, followed by an explainable, configurable, self-learning and human-centric decision-making and costing solution.We work hand-in-hand with engineering, product management and end product teams to turn our R … direct them, to research, develop, deploy, and maintain solutions that are deployed to Tractable’s global customer base. You should be willing to dive deep, move rapidly with a bias for action, and enable your teams to generate breakthroughs in science that can deliver pragmatic value for customers. You more »

Tableau, Looker,… Background in Data Governance and Data Catalog solutions: Axon, Informatica EDC, Colibra, Purview, etc. Previous experience in Artificial Intelligence techniques: ML/Deep Learning, Computer Vision, NLP, etc General information: Start Date: ASAP Length of Contract: 1 year (minimum) Work Location: Madrid Remote working. (It may more »

or graph databases (e.g., neo4j) is a plus. Experience in logic programing, information retrieval and/or natural language processing is a plusExperience in deep learning and language transformer models (e.g., GPT, BERT, etc.) is a plus. Experience in OpenAI, Docusign, Guidewire or Salesforce are a plus.About AXAAs more »

also required. A good depth of knowledge backed up with qualifications such as CompTia framework would also be desirable. It’s important to enjoy learning new skills and getting involved in other areas of the business to build a solid understanding of what we do. You will need to … in a range industries. Whether it’s supporting businesses with their remote workforce, transforming maritime companies with life-saving training simulators or implementing practical Deep Learning systems into the businesses of tomorrow, there’s no end to the amount of fascinating and cutting-edge projects that we are more »

and Imperial College London.Working hand-in-hand with laboratory teams at BioNTech, our RNA research group is advancing the state-of-the art in deep learning applied to RNA science. Our expertise is shared across the company to enable BioNTech to maintain their world leading position in the … knowledge. Our culture is highly collaborative and focuses on team success over individual achievement.Role ResponsibilitiesAdvance the state-of-the-art in RNA science using deep learning.Ensure the team maintains leading expertise including knowledge of emerging literature.Guide research agendas, planning, and interpretation of results.Present findings effectively to external and internal … stakeholders.Provide an expert reference on deep learning and how it may be applied to biological tasks.Undertake other activities in biological machine learning as required.Essential SkillsTrack record of successful self-directed deep learning research, for example in postdoctoral research or as a group leader. 3 or more »

Machine Learning Researcher We are partnered with a multi-billion hedge fund, with an active hiring mandate for ML Researchers. This opportunity involves architecting state-of-the-art ML solutions, generating novel algorithmic architecture and applying the latest deep learning techniques to quantitative trade research. Joining a … leading computing tools to apply and build ML models from the ground up, utilizing new and established techniques and methods like neural networks, reinforcement learning, deep learning, and natural language processing. Remain connected to the broader research community, staying on top of the latest research and publications … proof of concept solutions, running experiments, developing techniques and writing high-quality code to support the research output. Requirements: PhD or masters in machine learning, computer science or related field. Proven track record of peer-reviewed publications. Strong programming skills and experience working with Python and Pandas, Numpy, scikit more »

The Machine Learning Engineer will help develop/deploy AI-powered products as we embark on a journey to build a new AI-powered sales advisor. This is a mid level role, requiring at least 2-3 years of experience in relevant roles, and an academic background in computing … responsible for Development of a Conversational Recommendation System which utilises Large Language Models (LLMs) and other NLP technologies Deploying scalable and cost effective machine learning systems Evolving and maintaining our machine learning stack Monitoring and analysing deployed models for performance and costs Making effective use of cloud infrastructure … in our ML stack Skills and experience Familiar with the Python-based data science tech stack Python Docker & Kubernetes AWS Cloud Deep learning frameworks - Pytorch and Tensorflow HuggingFace ecosystem [optional] Other machine learning frameworks - scikit-learn, XGboost, CatBoost etc Ability to understand and develop state-of-the more »

Assistant, and Intelligence (MSAI) group is leading this effort. We are working to change the lives and work of hundreds of millions by building deep intelligence into search-, conversational-, and knowledge-powered scenarios that people use every day in Outlook, Teams, Windows, Edge, Office, SharePoint, and OneDrive. By understanding … context across applications, we can proactively and reactively help users accomplish more with less effort.We are looking for an experienced manager who can bring deep applied science expertise and a proven track record of shipping at-scale AI-enabled intelligent user-facing experiences to drive vision and execution for … Microsoft Turing. You will work as part of an organization that brings together talent in the areas of large language models, recommender systems, machine learning, deep learning, graph learning, information retrieval, software engineering, and responsible AI. We value and encourage diversity in the belief that it more »

to contribute fully to our purpose. Reporting to the VP of Research, you’ll have the opportunity to work with state-of-the-art Deep Learning technology to develop creative solutions to exciting, challenging and industry-defined problems. How you’ll make an impact: Take ownership of research … areas in computer vision, machine learning and biometrics with high degree of autonomy tackling new, as yet, unsolved industry problems Work with our developers to see the products of the research turned into production code Collaborate with the research team on best solutions Communicate research outcomes across the company … quo of the existing solutions You will work with a diverse team of AI and machine vision specialists, applying state-of-the-art Machine Learning and Deep Learning techniques to develop original solutions to world wide problems. We tend to look for people with: A Masters or more »

London, EnglandMachine Learning – Machine Learning Leadership/Full-time/RemoteCompany DescriptionHyperscience is transforming the future of work to elevate human potential. Our human-centered approach to automation enables a new era of human and machine collaboration that delivers dramatically improved organizational agility, without the legacy cost and … By combining data, people, and processes into digital assembly lines, the Hyperscience Platform turns complex processes into simple, configurable workflows. Our industry-leading machine learning technology continuously learns and evolves, to involve humans only when needed. For more information, please visit .We are looking for a technical manager with … a passion for working on business-facing automation products to lead our Application Machine Learning team. The ideal candidate will be able to leverage a strong ML background to bridge the gap between the latest ML technologies and customer needs. This is a crucial role in the engineering department 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 20% 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 … 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 more »

Exciting opportunity for a Machine Learning Manager to join an innovative start up who are developing a first of its kind medical device. They are looking for an experience Machine Learning engineer who has led teams in developing timeseries models and dealing with numerical data. Responsibilities: Implement machine … learning strategies for medical devices, focusing on model development, deployment, and data collection. Guide a team of data analysts and machine learning specialists to ensure the successful execution of AI projects. Collaborate with biomedical engineers, product designers, and other stakeholders to integrate machine learning techniques into medical … predict device-user interactions in the medical device domain. Design and conduct experiments and validation protocols to ensure the accuracy and reliability of machine learning models for medical devices. Ensure compliance with relevant regulatory guidelines and adhere to industry standards and best practices in medical device innovation. Stay updated more »

business activities by ingesting whole company data – both structured and unstructured – and making sense of it. Using proprietary models and algorithms, Complexio forms a deep understanding of how humans are interacting and using it. Automation can then replicate and improve these actions independently. Complexio is a joint venture between … Símbolo , in partnership with Marfin Management, C Transport Maritime, Trans Sea Transport and BW Epic Kosan. About the Job As an AI/Machine Learning Scientist at Complexio, you will be responsible for designing, developing, and implementing machine learning models and algorithms that can automate business processes. You … to drive advancements in a range of technologies including Large Language Models, Process Mining and Graph Databases. Key Responsibilities Research, design, and implement machine learning models to solve business challenges. Work closely with software developers to integrate machine learning models into production systems. Stay abreast of the latest more »

Employer” as part of the Top Employer Institute annual listings. We were assessed on several key HR practices including Diversity and Inclusion. Role : Machine Learning engineer Key Responsibilities Work with our customers and focus on our AWS Analytics and ML service offerings such Amazon Kinesis, AWS Glue, Amazon Redshift … used by our customers. Work closely with our Solution Architects, Data Scientists and Service Engineering teams Experience with design, development and operations that leverages deep knowledge in the use of services like Amazon Kinesis, Apache Kafka, Apache Spark, Amazon Sagemaker, Amazon EMR, NoSQL technologies and other 3rd parties Develop …/Kafka/Spark/Storm implementations Experience with analytic solutions applied to the Marketing or Risk needs of enterprises Basic understanding of machine learning fundamentals Ability to take Machine Learning models and implement them as part of data pipeline IT platform implementation experience Experience with one or more »

order book, we are looking for 2 graduates in the above disciplines join our team and help drive the adoption of machine vision and deep learning in the manufacturing industry. We are looking for people who have a passion in this area. You will be part of the … you will be able to influence your future development and enjoy Staying up-to-date on industry trends and advances in machine vision and deep learning technology to identify new opportunities for our clients. What will you be doing? You’ll provide creativity and problem-solving skills to more »

modelling, management, DBA experience are desirable Experienced in applying some of the data science techniques to project work, including data visualisation, package development, machine learning, NLP, Shiny/Dash, optimisation, deep learning, reinforcement learning Some knowledge of MLOps, implementation experience in MLOps is desirable Daily use … life balance by offering flexibility in where you work. We also promote well-being and provide access to Well Being Coaches. Your development and learning will be taken seriously, and we'll support your professional development with training and certification, with regular feedback and review. It is a fun more »

interim Head of Architecture to lead their technical efforts in the field of generative AI and Machine Learning. The ideal candidate will possess a deep understanding of advanced GenerativeAI architectures, frameworks, and algorithms, along with a proven track record of leading successful technical teams in the development of innovative … strategic leadership and guidance in the design and development of advanced GenAI architectures and solutions. Define and evolve the architecture of GenerativeAI and machine learning platforms, ensuring alignment with business objectives, scalability, and performance requirements. Stay abreast of the latest advancements in GenAI research and technology trends, and leverage … partners, to communicate technical vision, gather feedback, and drive alignment on strategic initiatives. Qualifications: Master's or Ph.D. in computer science, artificial intelligence, machine learning, or a related field. Experience in designing and implementing complex AI architectures, including deep learning, reinforcement learning, and other generative AI more »

Science is pivotal to this mission. As a Senior Data Scientist you will take a leading role in researching, building, deploying and monitoring machine learning (ML) models, in close collaboration with cross-functional teams. Your efforts will support our clients through enhanced decision-making and automation, utilising our developing … rent payment fluctuations. How can we cluster repair jobs to provide root cause insights and next best actions. Building recommendation systems, including testing reinforcement learning approaches, to support optimised rent collection Taking labelled data and supervised learning approaches, to generate optimal contact strategies for multi-channel tenant engagement … folks to work with - though we would say that! What qualifications and experience are we after? Ideally a Masters degree in Data Science, Machine Learning, Artificial Intelligence, or similarly related and quantitative discipline. Merit and above would be great. Circa 5+ years of serious commercial experience working on a more »

targets and pertinent datasets. Conducting preliminary research to evaluate the feasibility and potential success of identified targets. Engineering and constructing sophisticated, production-ready machine learning algorithms integral to daily trading decisions and operations. Key Qualifications: Extensive expertise in implementing deep learning and advanced machine learning techniques more »

e.g., robotics)MS or PhD in Computer Science, Engineering, or similar experienceDesirable:Experience working in a project-based (“matrix”) operating environmentStrong knowledge of Machine Learning and related areas, such as Deep Learning, Natural Language Processing, Computer Vision, etc.Experience developing machine learning solutions for Autonomous Vehicles.What we … contributed retirement account, therapy, yoga, office-wide socials and much more.A dynamic and fast-paced work environment in which you will grow every day - learning on the job, from the brightest minds in our space, and with support for more formal learning opportunities tooA culture that is ego … all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We also operate core working hours so you can be where you need to be for family and more »

INFOLead Machine Learning EngineerUp to 115,000 + benefitsLondon - 3 days a weekThis is a chance to join an E-commerce and retail-driven marketing agency to help deploy impactful models and work with cutting-edge technologies. They are looking for a Lead MLE to work end to end … building and deploying models.The Role:Your day-to-day responsibilities will include:Building, deploying and productionising segmentation, churn, and recommender system-based projects, alongside deep learning and neural networks to support core clientsPart of a team of 12 reporting to the Head of Data ScienceChance to have more »

Lead Machine Learning Engineer Up to £95,000 + 10% bonus, car allowance and benefits West London - 1-2 days a month This is a chance to join an Telecomms company help build and deploy impactful models and work with cutting-edge technologies. They are looking for a Lead … and deploying models. The Role: Your day-to-day responsibilities will include: Building, deploying and productionising segmentation, churn, and recommender system-based projects, alongside deep learning and neural networks to support core internal projects Part of a team of 7 reporting to the Head of Data Science Chance more »

Opportunity to work on emotionally intelligent AI avatars, transforming e-learning and customer experiences. Role: Computer Vision Engineer Location: London (Hybrid ) Salary: £80,000 (generous stock options) I'm hunting for innovative Computer Vision Engineers who are ready to reshape how humans and AI connect. What You'll Do … development, ensuring clean and efficient code. Build and Integrate Algorithms: Design and deploy custom computer vision algorithms. Drive ML Projects: Manage the full machine learning lifecycle for optimal performance. Collaborate and Improve: Participate in code reviews and team collaboration for continuous improvement. Experience Requirements: Advanced degree (Master’s or … PhD) in Computer Science, Engineering, or a related field. Over 3 years of experience in machine learning and computer vision, particularly with generative models. Strong Python skills and expertise in deep learning frameworks such as PyTorch. Familiarity with cloud tools like Docker and Azure. Experience with CI more »

or MLOps experienceDesirableExperience working in a project-based (“matrix”) operating environmentBachelors in Computer Science, Engineering, or similar experience (e.g STEM)Strong knowledge of Machine Learning and/or Cloud Infrastructure areas, such as Deep Learning, Natural Language Processing, Computer Vision,or Kubernetes, Azure/GCP/AWS … you the chance to make a huge impactCompetitive compensation and benefitsA dynamic and fast-paced work environment in which you will grow every day - learning on the job, from the brightest minds in our space, and with support for more formal learning opportunities tooA culture that is ego … all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We also operate core working hours so you can be where you need to be for family and more »