1 to 25 of 27 Deep Learning Jobs with Hybrid or WFH Options

Salary: £50,000 - £70,000 We're looking for Research Engineers to work with a leading AI company renowned for its groundbreaking work in deep learning and Generative AI, particularly in healthcare and retail. About the Opportunity Join a team of top-tier Deep Learning experts … This company boasts a stellar research reputation, with numerous publications at prestigious conferences. As a Research Engineer, you'll collaborate globally to tackle complex deep learning challenges, focusing on graph neural networks and pioneering new foundation models in healthcare. The Impact Your research will directly contribute to real … world applications with a profound social impact in Healthcare, already benefiting millions of lives. Key Responsibilities Develop state-of-the-art deep learning and generative models. Write high-quality, production-ready code. Leverage your experience in deep learning from both industry and academic settings. Benefits Private more »

our commitment to leading the industry. Join us to be a part of the AI revolution! InstaDeep is currently looking for a new Machine Learning Engineer to join our expanding Genomics team, located in either London or Paris. Our team is primarily dedicated to applied research, with a strong … models Our goal is to push the boundaries of genomics research by delivering valuable insights and breakthroughs that were previously unattainable. As a Machine Learning Engineer within the Genomics team, you will play a pivotal role in advancing our mission to accelerate genomics research. Specifically, you will focus on … developing cutting-edge AI and deep learning solutions tailored for DNA analysis. Your responsibilities will encompass contributing to our in-house machine-learning codebases and libraries. Your core tasks will involve designing, developing, and optimizing deep learning models, especially language models, with a primary emphasis more »

Senior Software Engineer (ML) - £100,000 Title : Software Engineer Company : Deep Learning (HPC) Location : Hybrid (Cambridge) Salary : £100,000 Skills : Rust/C++, Deep Learning Overview : An elite, boutique start-up operating at the intersection of HPC and Deep Learning is paving the way … academic in its nature, you will be applying the latest possible research to your work, bridging the gap between a Software Engineering and Machine Learning engineering role in a greenfield environment. About you : 4+ years in a Software Engineering/ML role Extensive performance optimisation Very strong C++ or … Rust experience (bonus points for Rust) Exposure to GPUs Deep learning toolkit experience (E.g., TensorFlow, PyTorch etc.,) Eager to work on Greenfield projects This is a rare opportunity to work on greenfield projects at such a high-performing level. Even if you just curious to learn more, you more »

smart decision-making in our business. As a key member of our Pricing and Allocation team, you will work closely with data analysts, machine learning engineers, and other data scientists, while also collaborating with business stakeholders and market specialists on a daily basis. YOUR DAILY ADVENTURES WILL INCLUDE: Work … users to identify, understand, structure, and solve complex optimization and allocation problems within the fast-moving urban mobility sector. Develop and implement cutting-edge deep learning models, with a particular focus on dynamic pricing strategies and efficient resource distribution. Collaborate with machine learning engineers to deploy sophisticated … models into production. Strive to grow and share your knowledge within the team, particularly in deep learning and deep reinforcement learning. Embody data science best practices and thrive on mentoring your peers, enhancing the collective expertise of our team. Be a champion of FREE NOW Data Science more »

About the team Are you interested in innovating new computer vision and deep learning technologies to power immersive experiences that change how people experience and envision their next home? Zillow's AI & Experiences Org employs generative AI, computer vision, 3D graphics, and machine learning to invent technologies … intuitive scientist to continually build momentum in this area. The team is staffed with applied scientists, engineers, and designers developing spatial understanding algorithms and deep learning models that power immersive media experiences for buyers and renters. As a Distinguished Scientist, you will help create new science-fueled business … Actual amounts will vary depending on experience, performance and location. Who you are As a Distinguished Scientist, you are an innovative thinker in machine learning with a long track record of innovation. You have an understanding of computer vision fundamentals, and when the occasion arises, a roll-up-the more »

domain expertise to maximise our impact using your knowledge, experience, and passion for your chosen field. The Data Scientist role requires expertise in machine learning, statistical analysis, anomaly detection, and strong communication and collaboration skills. Key responsibilities include developing innovative models, designing, applying, and optimising models in a dynamic … chat if you have any questions regarding the role. Interviews will be held on 8th July 2024. Main duties of the job With a deep understanding of data science, including machine learning, predictive modelling, and deep learning, the Data Scientist will tackle complex challenges and extract … worker visas and so is unable to employ candidates requiring sponsorship. Job description Job responsibilities Create, deploy, and refine cutting-edge AI/Machine Learning algorithms and suitable methodologies to detect and anticipate evolving fraud patterns and trends. Design innovative solutions to solve business problems in the identification of more »

domain expertise to maximise our impact using your knowledge, experience, and passion for your chosen field. The Data Scientist role requires expertise in machine learning, statistical analysis, anomaly detection, and strong communication and collaboration skills. Key responsibilities include developing innovative models, designing, applying, and optimising models in a dynamic … chat if you have any questions regarding the role. Interviews will be held on 8th July 2024. Main duties of the job With a deep understanding of data science, including machine learning, predictive modelling, and deep learning, the Data Scientist will tackle complex challenges and extract … worker visas and so is unable to employ candidates requiring sponsorship. Job description Job responsibilities Create, deploy, and refine cutting-edge AI/Machine Learning algorithms and suitable methodologies to detect and anticipate evolving fraud patterns and trends. Design innovative solutions to solve business problems in the identification of more »

domain expertise to maximise our impact using your knowledge, experience, and passion for your chosen field. The Data Scientist role requires expertise in machine learning, statistical analysis, anomaly detection, and strong communication and collaboration skills. Key responsibilities include developing innovative models, designing, applying, and optimising models in a dynamic … chat if you have any questions regarding the role. Interviews will be held on 8th July 2024. Main duties of the job With a deep understanding of data science, including machine learning, predictive modelling, and deep learning, the Data Scientist will tackle complex challenges and extract … worker visas and so is unable to employ candidates requiring sponsorship. Job description Job responsibilities Create, deploy, and refine cutting-edge AI/Machine Learning algorithms and suitable methodologies to detect and anticipate evolving fraud patterns and trends. Design innovative solutions to solve business problems in the identification of more »

solidified our commitment to leading the industry. Join us to be a part of the AI revolution! Job Description InstaDeep is looking for Machine Learning Engineers to join our Research Team in London, working at the intersection of machine learning and life sciences. Our in-house Research Team … aims to build foundational expertise and develops the next-generation in of deep learning technolgies for life science applications; for example, generative models for protein sequence and structure, protein structure prediction and inverse folding, ML-enhanced molecular dynamics, learning meaningul representations from proteomics datasets, and more. This … necessarily requires expertise not just in machine learning, but also in the curation of experimental data and computational modelling techniques such as homology modelling, molecular dynamics with classical force fields, quantum chemistry calculations with density functional theory. As a Machine Learning Engineer, you will work closely with our more »

different countries, but from the very first day you join our team you'll know that your contributions are valued. We offer world class learning and career development opportunities, while we celebrate an inclusive culture. The role As a Lead Data Scientist (NLP & GenAI) at Allianz Commercial, you will … text data. Collaborate closely with data engineers to pre-process and clean text data, ensuring data quality and compatibility with NLP models. Apply machine learning and deep learning techniques to tasks such as text classification, named entity recognition, knowledge search, topic modelling and text generation. Build and … leveraging Azure Open AI and various foundational LLM's for Retrieval Augmented Generation (RAG) architecture including opensource would be desirable. Experience with graph machine learning (i.e., graph neural networks, graph data science) and practical applications thereof. This is complimented by your experience working with Knowledge Graph, creating ontologies leveraging more »

list of customers that are building mission-critical applications on top of AWS services. Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting edge Generative AI algorithms to solve real world problems with significant impact? The Generative AI … world challenges. Interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths to production. Create and deliver best practice recommendations, tutorials, blog posts, sample … be curious. Our employee-led affinity groups foster a culture of inclusion that empower 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 and 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 »

Group, we foster a collaborative approach to strategy and marketing to serve our customers. Our culture and approach is anchored in iterative and innovative learning and delivery, that puts the customer at the center of everything we do. We re here to identify new market opportunities, create a company … hard to build a culture of innovation that encourages experimentation and an open mindset to problem solving. Role/Responsibilities: The Assc Dir-Machine Learning Eng will be responsible for developing cutting-edge software applications in generative AI and building innovative solutions that address the unique challenges faced by … cross-functional teams to define objectives, identify data sources, assist data collection process, and develop production grade software applications. Design, implement, and validate machine learning algorithms and models; optimize and productionize their performance for real-world applications. Stay up to date with the latest developments in the field of more »

and industry knowledge. Candidates will be expected to contribute to all stages of the data lifecycle. Technical Proficiency: Strong background in artificial intelligence, machine learning, and data science. Proficiency in Microsoft AI technologies, including Azure Machine Learning, Azure Cognitive Services, and related tools. Leadership Skills: Proven experience in … science 8+ years data engineering delivery experience Strong understanding of ML algorithms, statistical modeling, and data science principles Experience in developing and deploying machine learning models using Microsoft ML Current Microsoft and/or Databricks certifications TECHNICAL SKILLS REQUIRED General Architecture In-depth knowledge of Azure OpenAI Being able … requirements Proficiency in Azure services, especially: ML, Cognitive Services, Azure Databricks, Azure Synapse Analytics Experience solutioning Azure Cloud based enterprise data architectures Knowledge of deep learning frameworks with a focus on Microsoft s Cognitive Toolkit (CNTK), TensorFlow and PyTorch Experience in implementing and optimizing deep learning more »

and analytics to drive real business value? Our client, a leading IT Consultancy in the UK, is seeking an individual who can bring their deep technical expertise and thought leadership to lead their analytics capability to new heights. As a Senior Data Scientist/AI Engineer, you will have … the UK for longer than 28 days consecutively in the past 5 years. Responsibilities : Lead the large-scale delivery of AI techniques, including machine learning, GenAI, computer vision, and data science, to solve complex business problems. Engage with clients, presenting work in a compelling and easy-to-understand manner … Kubernetes, and CI/CD platforms. Your Skills and Experience : Proven track record of successfully delivering AI techniques, such as supervised and unsupervised machine learning, deep learning, graph data analytics, and more. Strong communication skills for effectively presenting complex information to clients and managing stakeholder relationships. Experience more »

At Loci we re building powerful and fast 3D content understanding algorithms. We leverage cutting-edge technologies such as computer vision, machine learning, and graphics to revolutionise 3D content management and creation. AI has an important role in assisting 3D content creation. Loci s ML platform helps enterprise clients … for existing 3D assets with high precision, and create new 3D assets from arbitrary text prompts. Role Summary We're looking for a Machine Learning Scientist to work on methods for 3D content classification, retrieval, generation, and captioning. The role is based in London (Vauxhall) with flexible work-from … could be a dream opportunity. Competitive salary & stock options plan. We are backed by leading European VC funds. What You Will Be Doing Building deep learning algorithms for 3D content classification, retrieval, generation, and captioning. Analysing the performance and efficiency of existing approaches and designing new methods to more »

At Loci we re building powerful and fast 3D content understanding algorithms. We leverage cutting-edge technologies such as computer vision, machine learning, and graphics to revolutionise 3D content management and creation. AI has an important role in assisting 3D content creation. Loci s ML platform helps enterprise clients … for existing 3D assets with high precision, and create new 3D assets from arbitrary text prompts. Role Summary We're looking for a Machine Learning Engineer to work on methods for 3D content classification, retrieval, generation, and captioning. The role is based in London (Vauxhall) with flexible work-from … plan. We are backed by leading European VC funds. What You Will Be Doing Write production code to support the development and deployment of deep learning algorithms for 3D content classification, retrieval, generation, and captioning. Ensure the maintenance and monitoring of our deployed microservices. Build ownership of data more »

which consists of modelling, robotics, data and detectives teams working together to deliver an Autonomous Driving product. We are looking for an experienced Machine Learning Engineer to help us in our journey to scale end-to-end neural networks for autonomous driving. You ll be working across our embodied … AI org team to build, integrate, test and scale algorithms, tools, and machine learning solutions for autonomous driving. Challenges you will own Technical leadership of at least one company wide program Developing and implementing machine learning models and robotics systems to enhance the capabilities of our Autonomous Vehicle … stack. Collaborating with cross-functional teams to contribute to the broader company strategy and roadmap, focusing on machine learning applications. Enhancing skills and knowledge in machine learning through continuous learning and application, while contributing to the growth and mentorship of junior engineers. Allocating personal bandwidth and technical more »

North America) Excellent Salaries Commission Benefits Central Manchester or Remote Areas: Artificial Intelligence, NLP, Data, Computer Vision, Recommender Systems, LLM's, Quantum Computing, Machine Learning, Deep Learning We are a leading recruitment agency with an established AI department that has been running for over 7 years. Our more »

scale open-source projects. You will also have the opportunity to teach on the fellowship about topics that range from basic statistics to reinforcement learning, and to mentor the fellows through their 6-week project. Thanks to Faculty platform, you will have access to powerful computational resources, and you … programmer in a short timeframe An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of … the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is needed as more »

Post-Sales Machine Learning Engineer, Customer Success - EMEA (Remote) London Customer Success Success ML Engineer/At Weights & Biases, our mission is to build the best developer tools for AI developers. Weights & Biases is a series C company with 250 million in funding and a rapidly growing user base. … Our platform is an essential piece of the daily work for machine learning engineers, from academic research institutions like FAIR and UC Berkeley to massive enterprise teams including iRobot, OpenAI, Toyota Research Institute, Samsung, NVIDIA, Salesforce, Blue Cross Blue Shield, Lyft, and more. We're hiring a Machine Learning … Success to help our customers solve difficult, real-world problems and engage in ground-breaking research by using our developer tools in their machine learning pipelines. In this role, you'll be collaborating closely with the most advanced ML teams worldwide, tackling some of the most challenging ML issues more »

company with 250 million in funding and a rapidly growing user base. Our platform is an essential piece of the daily work for machine learning engineers, from academic research institutions like FAIR and UC Berkeley to massive enterprise teams including iRobot, OpenAI, Toyota Research Institute, Samsung, NVIDIA, Salesforce, Blue … Cross Blue Shield, Lyft, and more. We're hiring a Machine Learning Engineer - Customer Success to help our customers solve difficult, real-world problems and engage in ground-breaking research by using our developer tools in their machine learning pipelines. In this role, you'll be working with … B functionality that highlights those capabilities, designing and executing proof of values (as needed) and securing a technical success in the evaluation process. Machine Learning Engineers on our customer success teams are critical to the success of our customers at Weights & Biases. You'll partner with Sales, Support, Product more »

Data Scientist/Machine Learning Engineer, Vice President Private Markets is one of the fastest growing asset classes in global financial markets, covering all investments asset classes like real estate, commodities, private equity, hedge funds, and private credit, that are not traded on public exchanges. Our group works within … the Aladdin engineering department building machine learning solutions to facilitate private market investing at BlackRock, and for Aladdin clients. Alts differs from other major asset classes as investment data generally comes in documents in semi or unstructured formats. Our job in the Data Science and Machine Learning group … deploy production standard ML models to solve real world financial problems Build/run in-house developed and third party ML models in production Deep learning research (Graph Neural Networks) Natural language processing (Semantic search, Generative LLMs) Datapoint extraction Develop novel methods to facilitate financial research from unstructured more »

Expertise in Python, Jupyter Notebooks, SageMaker (or similar), and familiarity with MLFlow or equivalent model management tools. Extensive experience in developing and deploying machine learning models in production, preferably within B2C, online retail or similar sectors. Proven track record of strategic model development, from conception through to production and … communication skills, with experience in presenting technical details to non-technical audiences. Whilst not a requirement, any of the following would be considered advantageous: Deep understanding of ethical considerations in data science, including privacy, fairness, and bias mitigation. Publications in relevant data science fields or contributions to open-source … projects. Experience with innovative data science techniques, including AI and deep learning, and their application in solving business problems. Background or interest in e-commerce or Health Tech, with an understanding of the specific data challenges and opportunities it presents. #LI-hybrid Why work with us? At HeliosX more »

years and is completed fully virtually. Modules include: Data Infrastructure and Tools Data Engineering Data Visualisation and Dashboards Data Analytics Project Management Machine Learning Software Engineering Unstructured Data Big Data AI and Deep Learning Overview of the behaviours, skills and knowledge developed: Data scientist (integrated degree)/ more »