26 to 47 of 47 Remote/Hybrid Deep Learning Jobs

data-driven solutions to solve business problems Work with structured and unstructured datasets to perform data cleaning, preprocessing, and analysis Build and evaluate machine learning models under guidance from senior data scientists Conduct exploratory data analysis (EDA) and present actionable insights Collaborate with cross-functional teams including engineering, product … completed a degree in Data Science, Computer Science, Statistics, Mathematics , or related field Strong foundation in Python (Pandas, NumPy, Scikit-learn) Understanding of machine learning concepts (regression, classification, clustering) Experience with data visualization tools (Matplotlib, Seaborn, or similar) Familiarity with SQL and working with databases Strong analytical thinking ...

looking for a highly capable and hands-on Senior ML Infrastructure Lead to build and scale the technical foundations that enable machine learning to operate effectively in production. This hybrid leadership role sits across machine learning infrastructure, platform engineering and MLOps. You will be responsible for designing … that allow ML teams to train, deploy, monitor and improve models reliably, securely and at scale. You will work at the intersection of machine learning, software engineering, data, cloud infrastructure and platform reliability, helping bridge the gap between research and production. This role is ideal for someone ...

United Kingdom, Nottingham, Nottinghamshire Data Scientist/Statistician (Model Developer) About this role Our Data Science team focuses on the development of machine learning and AI solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative and enthusiastic group, who use our expertise to make … business partners. This role will primarily focus on feature engineering and insight generation from new types of data and the development of machine learning models to address critical business challenges in underwriting. We are interested in candidates who have experience working with Open Banking or Credit Bureau data. ...

hands-on leader, you’ll architect AI solutions, embed them within enterprise environments, and drive impactful outcomes through advanced engineering, scalable pipelines, and deep cross-functional collaboration. What You’ll Do Architect and develop autonomous AI systems integrating multi-modal LLMs (text, image, audio, video) Design agentic workflows enabling … deployment Excellent communication, problem-solving, and project management skills in agile environments Bonus Points For Experience with agentic frameworks (e.g., LangChain, LlamaIndex) Experience in deep learning frameworks and front-end development Familiarity with Langfuse, Langsmith, or other LLM observability tools Understanding of Model Context Protocol and bias/ ...

global leading business is hiring a Senior Machine Learning Engineer. Hybrid position. Paying up to £1000 per day. Outside IR35 Experience and skills required for the Senior Machine Learning Engineer, Quantisation, PEFT, DeepSpeed, ONNX, TensorRT, PyTorch, multi-LoRa, LoRA Exchange, TitanML ️ In depth experience with the following Machine … Learning: Quantization, PEFT, DeepSpeed, ONNX, TensorRT Deep Learning with PyTorch Experience with Strong experience working with inference servers like multi-LoRa, LoRA Exchange, TitanML ️ Previous industry exposure to multi-node HPC clusters ️ Experience with Large language models - OpenAI, Mistral, Claude, LLaMA Large language model for GPU usage ...

Roadmap, prioritisation and accountability Act as technical lead for named workstreams: define validation gates, set pre-agreed continue/pivot/stop criteria and learning milestones, and, where applicable, provide oversight for the work of contributing scientists and engineers assigned to those workstreams. Own the innovation roadmap for assigned … support data access, validation and credibility. Qualifications and skills required for the role: Essential Doctorate in a relevant quantitative discipline (medical image analysis, machine learning, computer science, biomedical engineering, computational neuroscience) or equivalent industry research experience. Substantial post-doctoral or equivalent industry experience (typically 5+ years) in developing ...

achievable improvements that get used every day. We’ll Count on You To: Design and build ML/AI solutions (classical ML + modern deep learning/LLM approaches) aligned to product outcomes. Demonstrate proficiency in full-stack technologies for enterprise-scale websites and applications. Work as part … stakeholders to understand business needs, define and develop applications/architecture, design, review, implement and optimize Engineering processes. Build data expertise and a deep understanding of business domain knowledge and own data quality for allocated areas of ownership Maintain and enhance microservices based components for the application suite. Recommend ...

achievable improvements that get used every day. We’ll Count on You To: Design and build ML/AI solutions (classical ML + modern deep learning/LLM approaches) aligned to product outcomes. Demonstrate proficiency in full-stack technologies for enterprise-scale websites and applications. Work as part … stakeholders to understand business needs, define and develop applications/architecture, design, review, implement and optimize Engineering processes. Build data expertise and a deep understanding of business domain knowledge and own data quality for allocated areas of ownership Maintain and enhance microservices based components for the application suite. Recommend ...

project delivery, stakeholder engagement, and supporting the development of others. For those at Consultant level, the role offers strong exposure to client work, learning from experienced practitioners, and a clear pathway for progression. We value curiosity, collaboration, and a growth mindset, and we encourage applications from candidates … Expert – Expert in building and evaluating Generative AI solutions and Large Language Models (LLMs) for various use cases. Experience in developing and implementing machine learning models, including predictive, forecasting, classification, and deep learning models. CX Data Experience - Hands-on experience in customer behaviour analytics, marketing, commercial ...

Expert – Expert in building and evaluating Generative AI solutions and Large Language Models (LLMs) for various use cases. Experience in developing and implementing machine learning models, including predictive, forecasting, classification, and deep learning models. CX Data Experience - Hands-on experience in customer behaviour analytics, marketing, commercial … communicate complex ideas clearly to senior client stakeholders Innovative Mind - A strong interest and experience with the latest advancements in data, AI, machine learning, and data science space It Would Be a Bonus If You Have Experience in primary growth sectors; CPR (Consumer Products & Retail), ETU (Energy, Utilities ...

.000 € per year Requirements: Expertise in modern cloud/cloud-native architectures and a proven track record delivering production-grade AI/ML solutions (deep learning, generative AI) that solve real business problems. Hands-on experience designing scalable, production-ready AI systems and leading greenfield builds, migrations … management, guiding technical teams, driving multiple strategic initiatives autonomously. Strong analytical problem-solving capabilities, excellent composure and decision-making skills under pressure and ambiguity. Deep, up-to-date, hands-on knowledge of designing and deploying AI-first architectures and secure API integrations across multi-cloud solutions (especially Microsoft Azures ...

Join Axon in London as a Machine Learning Scientist, where you will advance AI technologies for law enforcement. The role emphasizes collaboration and innovation, supported by a hybrid work model that fosters teamwork and mentorship. Ideal candidates will have a PhD and extensive experience in LLM, MLLM, and Computer … Vision, alongside strong programming skills in Python and deep learning frameworks. #J-18808-Ljbffr ...

automation capabilities to define assay and data readout specifications for pod programs entering automated workflows when applicable. 4. Scientific Leadership and External Engagement Maintain deep subject-matter expertise by staying current with advances in AI for biologics design and structure prediction; translate emerging capabilities into actionable proposals … 10+ years of drug discovery experience with a demonstrated track record of computational impact on large-molecule or biologics programs; industry experience strongly preferred. Deep expertise in antibody and protein sequence, structure, and function modeling, with proficiency in generative or predictive AI frameworks applied to biologics design. Broad proficiency ...

Either a track record of implementing and documenting CLI & MCP services and advanced AI workflows. or hands-on experience building and deploying ML or Deep Learning pricing/analytical models. You are familiar with Python, AWS and the use of obvious AI platforms such as GPT, Opus, Gemini … company offers: Flexible working hours Flexible working locations (most engineers work from home) A friendly, bright, ambitious team A culture that embraces change, learning, and innovation You will be joining people who genuinely love what they do, and who are committed to delivering the best hospitality software ...

scale of a next generation AI platform focused on synthetic data and large language models. You will shape the engineering direction, influence how machine learning systems are deployed at scale, and play a key role in defining how modern data products are delivered across a global organisation. The Company … intersection of data, technology, and insights. With a strong investment in AI and advanced analytics, they are developing innovative capabilities that combine machine learning, privacy, and research methodologies. Their work is grounded in scientific rigour and real-world impact, supported by collaborations with leading academic institutions. The culture ...

designing ML algorithms in Python. Candidates with a Master's or PhD in Computer Science and 4+ years of relevant experience, particularly in deep learning and NLP, are encouraged to apply. The position offers competitive salary, equity, and hybrid working options. #J-18808-Ljbffr ...

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. ...

time in understanding the architecture and domain before making changes to the most critical components. Were looking for someone who enjoys that kind of deep learning and is keen to build long-term expertise that enables them to take on greater ownership and impact. Good team player Autonomous ...

systems that interact with some of the most complex software ever deployed in production. The team is composed of industry veterans that have built deep learning infrastructure, autonomous drones, ridesharing marketplaces, ad tech and much more. We are looking for a fast‐paced, client‐obsessed Account Executive with ...

candidates: Hire and mentor a small team of exceptional engineers and researchers Qualifications You've written and shipped high-performance or SOTA CUDA kernels Deep understanding of mixed precision, quantisation (INT4, INT8, FP8, MXFP4, block-scaled formats), kernel fusion, distributed computing strategies (TP, PP, CP) You've made deliberate … what makes variation operators work on hard combinatorial problems You're familiar with new or esoteric technical methods such as Neural Algorithmic Reasoning, Geometric Deep Learning, Category Theory, Neuroevolution, Megakernels, or the work of François Chollet, Kenneth Stanley, Jeff Clune, Jurgen Schmidhuber, David Ha, and Christian Szegedy Bonus ...

conducting experiments, collaborating with top-tier academic partners, and publishing research findings. Candidates should have a PhD in a relevant field and experience with deep learning frameworks. The position offers competitive benefits and a hybrid work model, fostering a collaborative environment for impactful AI solutions. #J-18808-Ljbffr ...

video analysis, and multimodal LLMs while solving real-world challenges. Role Overview They are looking for an experienced Lead Data Scientist to spearhead machine-learning initiatives, with particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will act as the technical lead … successful delivery of high-impact AI solutions. Key Responsibilities · Develop, train, and deploy computer vision models (object detection, image classification, segmentation, multi-modal learning) · Fine-tune, evaluate, and productionise multi-modal LLMs for business applications. · Drive experimentation and prototyping of advanced ML/AI techniques · Provide technical direction, mentoring ...