26 to 50 of 135 Remote/Hybrid Deep Learning Jobs

Location: London - hybridWe Are: RTB House is a next-generation performance demand-side platform (DSP) that uses proprietary Deep Learning AI algorithms to help brands grow. The company is the market leader in driving performance using Deep Learning across the entire purchase funnel. Founded … House has always been private-by-design. It embraces first-party advertising and a relentless approach to innovation. RTB House offers end-to-end Deep Learning-powered AdTech products and solutions to maximize conversion, drive new customer acquisition, create engagement, and fuel long-term demand for a global ...

range of applications. The role will involve a combination of: Applied physics and experimental research Imaging technology development Data analysis and algorithm development Machine learning/artificial intelligence applications Scientific modelling and simulation Technical reporting and stakeholder engagement A strong understanding of MATLAB is essential , as you will … develop, test and optimise algorithms and analytical solutions. Analyse complex datasets and translate findings into technical reports, recommendations and executive summaries. Develop machine learning and AI-based algorithms, including deep learning approaches, to improve detection performance and reduce false positives. Work closely with engineering, operations and leadership ...

Location: Remote About the Opportunity AfterQuery partners with leading AI research organizations to evaluate and improve frontier AI systems. We are seeking experienced Machine Learning Research Experts with a proven research track record to design benchmark tasks, evaluate model capabilities, and contribute expert-level ML reasoning to next-generation … systems. This role is intended for researchers who actively conduct machine learning research, write ML code, publish scientific work, and contribute original ideas to the field. The focus is on designing rigorous evaluation tasks that measure real-world AI capabilities across diverse machine learning domains. Areas of interest ...

Location: Remote About the Opportunity AfterQuery partners with leading AI research organizations to evaluate and improve frontier AI systems. We are seeking experienced Machine Learning Research Experts with a proven research track record to design benchmark tasks, evaluate model capabilities, and contribute expert-level ML reasoning to next-generation … systems. This role is intended for researchers who actively conduct machine learning research, write ML code, publish scientific work, and contribute original ideas to the field. The focus is on designing rigorous evaluation tasks that measure real-world AI capabilities across diverse machine learning domains. Areas of interest ...

Location: Remote About the Opportunity AfterQuery partners with leading AI research organizations to evaluate and improve frontier AI systems. We are seeking experienced Machine Learning Research Experts with a proven research track record to design benchmark tasks, evaluate model capabilities, and contribute expert-level ML reasoning to next-generation … systems. This role is intended for researchers who actively conduct machine learning research, write ML code, publish scientific work, and contribute original ideas to the field. The focus is on designing rigorous evaluation tasks that measure real-world AI capabilities across diverse machine learning domains. Areas of interest ...

Senior Learning Consultant - AI & ML Engineering (Remote working) We're working with a leading technical training & enablement organisation looking to hire Senior Learning Consultants across AI & ML Engineering . They operate at the forefront of AI, ML & Data - training AI/ML Engineers, Data Scientists & technical leaders within … role will involve a mix of: Delivering advanced technical AI & ML training to Engineers, Data Scientists & other technical professionals Designing and developing curriculum & learning solutions Working with enterprise clients to understand their technical learning needs Developing your own technical knowledge across emerging AI/ML technologies What ...

team. Experience of applying knowledge of cloud computing, including architecting and deploying solutions, and selecting appropriate tools and design patterns. Exposure to advanced machine learning techniques (e.g. reinforcement learning, deep learning). Experience owning the day-to-day resource allocation of a large team of technical … clients and partners within the public sector for successful technical delivery and to build strong long-term relationships Knowledge of data science and machine learning concepts and principles. Expertise in Python and SQL, both for development and to review code. Strong working knowledge of database systems (e.g., SQL, NoSQL ...

Title Senior AI Engineer - Machine Learning (Computer Vision) Location North London - hybrid Salary £650 per day outside IR35 Length 6 months About the Business Our client is a leading digital commerce organisation undergoing a significant technology transformation. This is an exciting opportunity to join a business at the forefront … adoption, helping to build scalable solutions that enhance customer experiences, improve operational efficiency, and drive future growth. The Senior AI Engineer - Machine Learning (Computer Vision) Opportunity Design, develop and deploy AI-powered solutions using deep learning, computer vision, large language models (LLMs), and generative AI technologies. Build ...

TITLE Senior AI Engineer – Machine Learning (Computer Vision) LOCATION North London – hybrid SALARY £650 per day outside IR35 LENGTH 6 months ABOUT THE BUSINESS Our client is a leading digital commerce organisation undergoing a significant technology transformation. This is an exciting opportunity to join a business at the forefront … adoption, helping to build scalable solutions that enhance customer experiences, improve operational efficiency, and drive future growth. THE SENIOR AI ENGINEER – MACHINE LEARNING (COMPUTER VISION) OPPORTUNITY Design, develop and deploy AI-powered solutions using deep learning, computer vision, large language models (LLMs), and generative AI technologies. Build ...

currently hiring for a Machine Learning Engineer - for an initial 3-6 months contract assignment. (Duration is very likely to extend). This is a hybrid working role with 2 days on site in Osterley, West London. Inside IR35 Description and Location Machine learning engineers act as critical … members of the data science team. Their tasks involve researching, building, and designing the artificial intelligence responsible for machine learning and maintaining and improving existing artificial intelligence systems. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation ...

currently hiring for a Machine Learning Engineer - for an initial 3-6 months contract assignment. (Duration is very likely to extend). This is a hybrid working role with 2 days on site in Osterley, West London. Inside IR35 Description and Location Machine learning engineers act as critical … members of the data science team. Their tasks involve researching, building, and designing the artificial intelligence responsible for machine learning and maintaining and improving existing artificial intelligence systems. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation ...

PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through … pick up new tools and languages quickly - is an advantage. This Role In this role, you'll work alongside our Data Scientists, Machine Learning Engineers, and (with support) our customers to help define and solve engineering challenges. You'll contribute to delivering high-fidelity simulations by: Building models from ...

span a wide range of AI and automation tools, including Virtual Assistants, Robotic Process Automation (RPA), Computer Vision, Natural Language Processing (NLP), Machine Learning, Deep Learning, Generative AI, Frontier LLMs, and Predictive AI. A strong candidate would have experience/exposure to nuances of these tools/ ...

span a wide range of AI and automation tools, including Virtual Assistants, Robotic Process Automation (RPA), Computer Vision, Natural Language Processing (NLP), Machine Learning, Deep Learning, Generative AI, Frontier LLMs, and Predictive AI. A strong candidate would have experience/exposure to nuances of these tools/ ...

Data Science, based in any of our Brussels (Belgium), Slough (UK) or Raleigh (US).About the roleYou will help shape how advanced AI, machine learning, and computational methods support clinical development. You will design, validate, and deploy models that help teams make evidence-based decisions in areas such … governance, and compliance colleagues across countries. You will also connect with academic, technology, and industry partners. Together, you will explore new methods, share scientific learning, and support teams that use data to improve decision-making across the drug development value chain. What you will doYou will lead ...

product lines to deeply understand use case requirements, shaping objectives that align document understanding capabilities with diverse business needs including next-generation search and deep legal research. Advance the Field: Maintain scientific and technical expertise in one or more relevant areas as demonstrated through product deliverables, published research … with equivalent research/industry experience Demonstrable hands-on experience building and deploying document understanding systems, information extraction pipelines, or knowledge graph construction using deep learning, LLMs and NLP methods Proven ability to translate complex document understanding problems into innovative AI applications that balance accuracy and efficiency Professional ...

Expertise in designing, architecting, and implementing large-scale foundation models Significant hands‐on experience optimising and debugging deep learning models Practical experience with distributed or large-scale training and inference Deep understanding of at least one major deep learning framework (ideally PyTorch) Experience building … will do: Lead the research, development, and production deployment of Hypercritical's foundation model. Define the long-term technical strategy for high-performance Machine Learning systems. Optimize the model for peak performance across diverse hardware and ensure scalability for exponential user growth. Serve as the technical guardian ...

nature is valued in real‐world decision‐making, we’d love to hear from you. Role Purpose & Responsibilities We are hiring a Machine Learning Scientist to contribute to the development of models – from classical statistics and gradient‐boosted methods through to deep learning when warranted – that turn … Must‐have requirements Degree in a quantitative field: environmental/earth science, computer science, physics, maths, engineering, or similar. 3+ years of applied machine‐learning experience, including time spent in an industry, product, or startup setting (shipping models). Expertise in geospatial Python tooling: rasterio, xarray, geopandas, GDAL ...

taking a leadership position in building an innovative and compliant market. You can read more here. Working at Wintermute You are an experienced machine learning engineer or researcher with a strong track record in applied deep learning, ideally in domains involving high-frequency or large-scale time … book and market microstructure data. Design and maintain data pipelines, preprocessing, and feature extraction workflows tailored to streaming tick data. Research and implement advanced deep learning architectures for short-horizon forecasting and signal extraction. Collaborate with quant researchers and developers to integrate models into live trading environments. Optimise ...

days onsite) | BPSS Required We're looking for an experienced ML Engineer to join a high-profile programme focused on delivering advanced machine learning and personalisation solutions at scale. This is an excellent opportunity to work with large datasets, cutting-edge ML technologies, and cross-functional teams to build … impactful customer-facing products. Key Responsibilities Design, build, train and optimise machine learning models focused on personalisation, recommendation engines, ranking algorithms, user segmentation and content analysis. Develop and maintain scalable data pipelines to support feature engineering, model training and deployment across large structured and unstructured datasets. Deploy, monitor ...

passion for insights and personalisation. The Opportunity: The role will work with our product, engineering and customer success teams. It requires direct expertise with deep learning statistical models that power AI, such as Transformers, and is focused on providing the quality of predictive and prescriptive insight that … Behavioural AI model research and development Key Responsibilities: Design and build core behavioural models as tooling for our behavioural AI product, using bleeding edge deep learning techniques Developing client prototypes of new behavioural insight to prove value and then push upstream into our core capabilities where appropriate Ideate ...

methodologies, focusing on interpretability, steering, and behavioral studies of transformer-based LLMs. Developing high-quality, modular, and reproducible research code in Python using deep learning frameworks like PyTorch. Building and maintaining research infrastructure and technical tooling to accelerate scientific discovery. Documenting and communicating experimental findings through high-quality … complex technical insights for diverse audiences, including external frontier labs, government bodies, and safety institutes. Who we're looking for: Solid background in machine learning fundamentals and transformer architectures (specifically LLMs). A practical understanding of white-box and black-box interpretability techniques, such as steering vectors or mechanistic ...

Capital One in Nottingham is seeking a Lead Data Scientist to guide the development of deep learning models for underwriting. The role focuses on leveraging multi-modal data, building advanced neural networks and delivering production-ready solutions. You will collaborate with business stakeholders, mentor junior team members ...

partnered with a well-funded, mission-driven, 40-person research organisation using advanced AI to decode animal communication. Operating at the intersection of machine learning, bioacoustics and scientific discovery, the team is building foundation models trained on unique multimodal datasets to unlock new understanding of non-human communication. Backed … term AI research strategy Lead and develop senior research leaders across Foundation Models, Research Infrastructure and Decoding Drive the application of large-scale machine learning to scientific research challenges Evaluate and guide foundation model development, deployment and research quality Build external partnerships across academia, industry and scientific institutions Communicate ...

applicable. Last date of application: 30th June 2024 Start Date: 1st August 2024 Key Responsibilities AI Model Development: Design, develop, and train machine learning models using frameworks like TensorFlow, PyTorch, or scikit-learn. Fine-tune and optimize models for performance and scalability. Software Development: Write clean, maintainable, and efficient … abilities. Capability to work collaboratively in a team environment. Preferred Skills Experience with natural language processing (NLP) and computer vision techniques. Knowledge of reinforcement learning and deep learning architectures. Familiarity with DevOps practices and continuous integration/continuous deployment (CI/CD) pipelines. Experience in agile development ...