176 to 200 of 509 Deep Learning Jobs

industry still runs on spreadsheets, PDFs and weeks of manual survey work. SOLR AI is the intelligence layer replacing it: computer vision and machine learning over aerial imagery, geospatial, property, grid and weather data and more, turning a UK address into a bankable-grade renewable energy assessment in minutes … define, build, talk to users, ship. There is no layer between your work and the outcome. Extreme ownership, high slope. We hire for agency, learning rate and humility over pedigree. You own the outcome, including what you get wrong. Research-led product development, product-led growth. Every research ...

must be willing to learn C++. Experience in C++ is a strong plus Candidate must have strong interest and motivation to work with machine learning, deep learning, backtesting platform design and development technologies. Prior experience is not required but will be considered as a strong plus. Strong ...

forefront of AI innovation,trusted by Microsoft,AWS,andothersto deliver advanced AIand datasolutions atcitizenscale. Our 150-strong AI and DataPracticebringstogether deepexpertisein machine learning, generative AI, agenticAIand data. We are pioneers in responsible AI, having authored the UK governments AI Cyber Security Code of Practice implementation guideand we partner with … ROLE & RESPONSIBILITIES IN THE BUSINESS : As a LeadData Scientistat our client, you will architect,design,and deliver advanced AI solutionsleveragingstate-of-the-artmachine learning,generativeand agenticAI technologies. You will drive the adoption of modern AI frameworks,AIOps best practicesand scalable cloud-native architectures. Your role will involve hands ...

Senior Engineering Manager - Machine Learning United Kingdom We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America, we’re building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join … play, watch, and connect every day. About the role We’re looking for a hands‐on and motivated Senior Engineering Manager for Applied Machine Learning & Research to support the development and delivery of machine learning systems at Super Technologies. By combining cutting‐edge applied machine learning, foundational ...

research and work with our commercial teams to deliver great products that people love. Our Data Science team are responsible for the fashion machine-learning architectures at Lyst. This includes researching, modelling and deploying performant production-worthy systems. Their services are the most called microservices across Lyst, allowing … search 40 million images in < 100ms via the deep learning models we've built. You will be helping us to expand our search and recommendations offerings by guiding the engineering teams whilst working with stakeholders on the commercial and marketing arms to ensure we build products that ...

implement changes of model architecture that will enable better performance characteristics without sacrificing model capabilities. What We're Looking For 3+ years building deep‐learning systems (industry or research) with shipped models or published artifacts to show for it. 1+ years experience working on performance of neural network … inference (analyzing bottlenecks, writing custom kernels, quantizing models, fighting deep learning compilers). Excellent understanding of GPU architecture and why some models run faster than others. Strong Python + PyTorch/JAX; you can profile, debug numerics, and write maintainable research code. You document experiments clearly and communicate ...

Senior Lecturer/Lecturer (Asst Prof) and other positions in Machine Learning in Manchester, UK Apr 25, 2022 Manchester Centre for AI Fundamentals has positions open at all levels: Senior Lecturer, Lecturer, Research Fellow, Postdoc, and PhD (funded). Now is the time to join the University of Manchester … research. The university is a key partner of the national Alan Turing Institute, hosting 33 Turing Fellows and Fellows of the European Laboratory of Learning and Intelligent Systems (ELLIS), in the new ELLIS Unit Manchester. The ambition is to establish a leading AI centre at the intersection of these ...

offer a competitive salary, a great location, and a supportive, people-first culture where your growth truly matters. With access to global projects, learning opportunities, and an inclusive environment that values every voice, you’ll have the space to shape the future with us.About The TeamYou’ll be joining … implement, and optimize AI agents for various applications, including customer service, supply chain optimization, recommendation systems, and internal operations.Develop robust agent architectures, incorporating machine learning models, natural language processing (NLP), knowledge representation, and reasoning techniques.Integrate AI agents with existing JD.com systems and platforms, ensuring seamless functionality and data flow.Conduct ...

quantitative trading firm in London. The role sits within a specialist infrastructure team supporting trading systems and a large GPU compute environment used for deep learning and research. The network is a core part of the firm's research and trading capability. It needs to be fast, reliable … doing Supporting and improving mission-critical network infrastructure Working on high-bandwidth networking for GPU and compute clusters Helping design scalable networks for deep learning and research workloads Troubleshooting network issues across Linux-based systems Building automation around deployment, monitoring and operational tasks Working with systems, research ...

Title: Machine Learning Engineer Location: London, UK (Hybrid – 2–3 days onsite per week) Contract Type: Contract Duration: 6–12 months (possibility of extension) Start Date: ASAP Overview We are seeking an experienced Machine Learning Engineer to join our data science and AI engineering team on a contract … basis in London. The ideal candidate will be responsible for designing, developing, and deploying machine learning models and scalable data pipelines that support advanced analytics and intelligent automation initiatives. This role offers a hybrid work arrangement , combining flexibility with collaboration, and is ideal for a contractor who thrives ...

About the role Reporting into the Head of Engineering, this is a senior individual‐contributor role with strong technical leadership across multi‐view geometry, deep learning for visual features, and real‐time visual‐inertial state estimation. You will set the direction for how Auriga exploits cameras across … SLAM that performs in industrial or GNSS‐challenged environments. Experience within autonomous vehicles, industrial automation, robotics or other mission‐critical infrastructure domains. Familiarity with deep‐learning‐based features and learned correspondence (SuperPoint, R2D2, LightGlue, etc.). Strong publication record, open‐source contributions, or recognised technical work in Vision ...

most innovative cities.Key ResponsibilitiesContribute to AI development by working as part of a team to develop, test, and implement AI/Machine Learning models and algorithms that address specific industrial problems within the Digital Industries portfolio, such as predictive maintenance modules, autonomous systems data preparation, quality control applications … researchers to understand project requirements and integrate AI components into larger software systems and platformsActively participate in a structured graduate program, engage in continuous learning through internal training and workshops, and stay informed about new AI advancementsClearly document your work and communicate progress and findings to your team ...

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 ...

creation/dissemination of cutting-edge knowledge and proprietary assets. Your role will be split between developing new internal knowledge, building AI and machine learning models & pipelines, supporting client discussions, prototype development, and deploying directly with client delivery teams. You will be on McKinsey’s global scientific AI team … delivery capacity. As part of our London or Wroclaw office, you will use your expertise in advanced mathematics, statistics, and/or machine learning, to help build and shape McKinsey’s scientific AI offering. You will bring distinctive statistical, machine learning, and AI competency to complex client problems. ...

advance human health by building on and beyond the Nobel-winning AlphaFold system. Since then, our interdisciplinary team of drug discovery experts and machine learning specialists has built powerful new predictive and generative AI models that accelerate scientific discovery at digital speed. Our name comes from the belief that … promise of digital biology, and achieving our ambitious mission to one day solve all disease with the help of AI.Research Engineering (Machine Learning), London We are looking for Research Engineers with different levels of experience - Mid through to Senior, Staff, Principal or equivalent levels. Your impact This ...

identify real‐time text features that predict future market behaviour. Qualifications Expert knowledge of Natural Language Processing or a related area of machine learning, via academic or industry experience (or both). Familiarity with recent advances in NLP and generative AI, including adapting LLMs to domain‐specific tasks such … Domain Adaptive Pre‐Training, Instruction Fine‐Tuning, quantisation and Low‐Rank Adaptation. Experience applying machine learning and deep learning methods to NLP tasks such as Text Embeddings, Sentiment Analysis, Named Entity Recognition, Knowledge Graphs, Multilingual Text and Topic Extraction. Demonstrated research excellence and a strong understanding ...

looking for a Senior Software Engineer with expertise in software optimization for gaming consoles and CPU/GPU architectures to join our Machine Learning team. You'll report to a Leader of Engine Development and collaborate with both game and central technology engineers and researchers to bring ML models … players by deploying them directly into EA's games. Responsibilities: Design, build, and maintain robust end-to-end solutions for running machine learning models efficiently on a variety of devices. Partner with ML experts across EA to help adopt and scale new models and architectures optimized for on-device ...

time.**Key Responsibilities**:* Design, develop, and deploy AI/ML and Generative AI solutions using Python.* Build, train, evaluate, and fine-tune machine learning and large language models (LLMs) using frameworks such as PyTorch, TensorFlow, and Keras.* Develop Retrieval-Augmented Generation (RAG) applications using LangChain, Hugging Face, and LlamaIndex. … Agile/Scrum ceremonies, code reviews, documentation, and quality assurance activities.* Stay updated with emerging trends and advancements in Generative AI, LLMs, and machine learning technologies, and share best practices within the team.**Required Skills*** Strong proficiency in Python programming for AI/ML application development* Hands-on experience ...

coaching, and exposure that will accelerate your growth in ways you won't find anywhere else. When you join us, you will have: Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear … actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey. A voice that matters: From day one, we value your ideas and contributions. You'll make a tangible impact ...

Hiring: Python Developer Machine Learning Location: Salt Lake City, UT Onsite Duration: Long-Term Contract Interested candidates send me their updated resume, current location, work authorization, expected rate, contact number, and LinkedIn profile to . Must Have: Strong Python development experience for high-performance, data-intensive applications Experience with … Machine Learning/Deep Learning Strong hands-on experience with PyTorch, TensorFlow, or JAX Experience with Pandas and statistical model evaluation Production ML model deployment, monitoring, and maintenance Experience with LLMs, Recommender Systems, or Operations Research Experience working with text, voice, image, and tabular datasets Strong understanding ...

Senior Engineering Manager - Machine Learning United Kingdom We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America, we’re building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join … play, watch, and connect every day. About the role We’re looking for a hands‐on and motivated Senior Engineering Manager for Applied Machine Learning & Research to support the development and delivery of machine learning systems at Super Technologies. By combining cutting‐edge applied machine learning, foundational ...

explainability, and safety alignment, making sure our AI is trustworthy and ethical. What you need 5+ years of professional experience building and deploying machine learning or AI systems in a production environment. Proficiency in Python and experience with relevant AI/ML frameworks such as PyTorch, TensorFlow, or JAX. … strong foundation in machine learning principles, deep learning architectures, and natural language processing, particularly with large language models. Experience with cloud platforms (e.g., AWS, GCP, Azure) and MLOps tools for managing the AI lifecycle. Demonstrated ability to write clean, efficient, and well-tested code for scalable software ...

Senior/Staff Machine Learning Scientist About Chemify: Chemify is revolutionising chemistry. We are creating a future where the synthesis of previously unimaginable molecules, drugs, and materials is instantly accessible. By combining AI, robotics, and the world's largest continually expanding database of chemical programs, we are accelerating chemical … full-time) or fully remote with regular travel to our Glasgow HQ/Chemifarm The Role We are seeking a Senior/Staff Machine Learning Scientist to work across the breadth of Chemify's platform — generative models for chemistry, search and planning for retrosynthesis, computer vision for telemetry from ...

tackle the most complex problems in quantitative finance from our London HQ, uniting world‐class researchers and engineers in an environment that values deep exploration and methodical execution – because the best ideas take time to evolve. Together we’re building a world‐class platform to amplify our teams’ most … role you will develop and test your ideas with real‐world data in an academic environment. Qualifications Either a post‐graduate degree in machine learning or a related discipline, or commercial experience developing novel machine learning algorithms. Exceptional candidates with a proven record of success in online data ...

with subject matter experts in biology and chemistry domains to validate the output.This role requires a strong foundation in Natural Language Processing (NLP), Machine Learning, Transformer models and Generative AI, as well as proficiency in Python.ResponsibilitiesData collection, data analysis, model development, defining quality metrics, quality assessment of models … scale projectsMentoring junior data scientists and fostering a knowledge-sharing culture within the team.Staying up-to-date with the latest advancements in AI, machine learning, and NLP technologies.RequirementsMaster’s or Ph.D. in Computer Science, Data Science, Artificial Intelligence, or a related field.5+ years of relevant applied experience in data ...