1 to 25 of 39 Remote Deep Learning Jobs

Director of AI | Machine Learning | Deep Learning | Natural Language Processing | Large Language Models | Leadership | Remote, UK Role Overview As the AI Director at a fast-growing, well-funded technology startup, you will lead the strategy, research, and implementation of the company’s AI initiatives, driving the technical … agent performance, and the ability to drive competitive differentiation through AI innovation. This role is ideal for a senior AI researcher/engineer with deep experience in LLMs and agent systems who has shipped real product features and is eager to define the AI foundation of a next-generation ...

looking for a passionate, talented, and inventive MLE to help build industry leading state of the art solutions. You will be leveraging text mining, deep learning, content understanding, document processing and more. You will prototype machine learning models that deliver more personalized and automated customer experiences throughout … revolutionary solution that changes the way people live, work, and come to agreement. This position is an individual contributor role reporting to the Machine Learning Engineering Manager. Responsibility Work together with the ML team to perform research, testing and evaluation of existing and emerging NLP/ML/ ...

will lead the scaling and build out of the key product, applying it to new business situations using a combination of AI and machine learning techniques. You will leverage your expertise in product management and leadership skills to guide and mentor your team, ensuring the successful implementation and continuous … your role, as well as providing development for other roles you may be interested in. Required Qualifications Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or related field, or a Master's degree combined with significant industry experience Experience leading deep learning teams in a corporate setting ...

Start Your Career as a Machine Learning Engineer Are you excited by the idea of building intelligent systems that learn from data? Are you looking to start a career at the intersection of software engineering and data science? We are looking for a motivated and curious Graduate Machine Learning Engineer to join our growing AI & Machine Learning team. In this role, you’ll help design, develop, and deploy machine learning models that solve real-world problems — all while receiving hands-on training, mentoring, and support from experienced ML engineers and data scientists. Whether you studied Computer ...

work as a team and ensure they resonate with you. We Persevere: We believe that great work comes from dedication, continuous learning, and pushing boundaries. We trust you to manage your time in a way that helps you develop your skills while contributing to impactful projects. If you thrive … learning and enjoy challenging yourself, you'll fit right in. We Care We love what we do and deeply care about our product, customers, and colleagues. We thrive as a collaborative team where everyone is willing to go the extra mile for our customers. We create an environment where ...

Machine Learning Engineer (LLM/AI Systems) London/Hybrid | 0–3 Years Experience | Competitive Salary Are you obsessed with AI and large language models? We’re an early-stage startup building real-world products powered by LLMs — from intelligent copilots to adaptive automation tools — and we’re looking … research — we give you time and resources to explore, learn, and publish. What We’re Looking For 0–3 years of experience in Machine Learning, Data Science, or NLP/LLM. Strong Python skills; exposure to PyTorch/TensorFlow/Hugging Face. (Bonus) understand fundamentals of deep learning ...

customer behaviour and building smarter banking tools. You could become: A Data & AI Scientist uncovering insights, making predictions and solving complex problems with machine learning techniques. Always with an ethical and accurate lens. A Machine Learning & AI Engineer designing and deploying robust ML systems that bring data science … using everything from Spark and statistical methods to domain knowledge and emerging GenAI applications. The work you could be doing Design and deploy machine learning models for fraud detection, credit risk, customer segmentation, and behavioural analytics using scalable frameworks like TensorFlow, PyTorch, and XGBoost. Engineer robust data pipelines ...

customer behaviour and building smarter banking tools. You could become: A Data & AI Scientist uncovering insights, making predictions and solving complex problems with machine learning techniques. Always with an ethical and accurate lens. A Machine Learning & AI Engineer designing and deploying robust ML systems that bring data science … using everything from Spark and statistical methods to domain knowledge and emerging GenAI applications. The work you could be doing Design and deploy machine learning models for fraud detection, credit risk, customer segmentation, and behavioural analytics using scalable frameworks like TensorFlow, PyTorch, and XGBoost. Engineer robust data pipelines ...

customer behaviour and building smarter banking tools. You could become: A Data & AI Scientist uncovering insights, making predictions and solving complex problems with machine learning techniques. Always with an ethical and accurate lens. A Machine Learning & AI Engineer designing and deploying robust ML systems that bring data science … using everything from Spark and statistical methods to domain knowledge and emerging GenAI applications. The work you could be doing Design and deploy machine learning models for fraud detection, credit risk, customer segmentation, and behavioural analytics using scalable frameworks like TensorFlow, PyTorch, and XGBoost. Engineer robust data pipelines ...

customer behaviour and building smarter banking tools. You could become: A Data & AI Scientist uncovering insights, making predictions and solving complex problems with machine learning techniques. Always with an ethical and accurate lens. A Machine Learning & AI Engineer designing and deploying robust ML systems that bring data science … using everything from Spark and statistical methods to domain knowledge and emerging GenAI applications. The work you could be doing Design and deploy machine learning models for fraud detection, credit risk, customer segmentation, and behavioural analytics using scalable frameworks like TensorFlow, PyTorch, and XGBoost. Engineer robust data pipelines ...

decoding customer behaviour and building smarter banking tools. You could be: A Data & AI Scientistuncovering insights, making predictions and solving complex problems with machine learning techniques. Always with an ethical and accurate lens. A Machine Learning & AI Engineerdesigning and deploying robust ML systems that bring data science … using everything from Spark and statistical methods to domain knowledge and emerging GenAI applications. The work you could be doing Design and deploy machine learning models for fraud detection, credit risk, customer segmentation, and behavioural analytics using scalable frameworks like TensorFlow, PyTorch, and XGBoost. Engineer robust data pipelines ...

decoding customer behaviour and building smarter banking tools. You could be: A Data & AI Scientistuncovering insights, making predictions and solving complex problems with machine learning techniques. Always with an ethical and accurate lens. A Machine Learning & AI Engineerdesigning and deploying robust ML systems that bring data science … using everything from Spark and statistical methods to domain knowledge and emerging GenAI applications. The work you could be doing Design and deploy machine learning models for fraud detection, credit risk, customer segmentation, and behavioural analytics using scalable frameworks like TensorFlow, PyTorch, and XGBoost. Engineer robust data pipelines ...

decoding customer behaviour and building smarter banking tools. You could be: A Data & AI Scientistuncovering insights, making predictions and solving complex problems with machine learning techniques. Always with an ethical and accurate lens. A Machine Learning & AI Engineerdesigning and deploying robust ML systems that bring data science … using everything from Spark and statistical methods to domain knowledge and emerging GenAI applications. The work you could be doing Design and deploy machine learning models for fraud detection, credit risk, customer segmentation, and behavioural analytics using scalable frameworks like TensorFlow, PyTorch, and XGBoost. Engineer robust data pipelines ...

brands and channels. You'll develop recommendation systems and predictive models that support global marketing and CRM strategies. Responsibilities Lead development of machine learning solutions for CRM personalisation Build and optimise recommendation engines using neural networks and deep learning Collaborate with CRM and regional marketing teams … with engineering and data teams to ensure scalable solutions Monitor and improve model performance using data insights and feedback Requirements Proven experience in machine learning, particularly in recommendation systems and deep learning architectures Strong understanding of two-tower neural networks, embedding techniques, and ranking models Proficiency ...

people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely … with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline ...

values integrity and excellence. THE WORK The Assembly & Flight Operations (AFO) Digital Transformation team is at the forefront of integrating artificial intelligence and machine learning into defense systems. In this role you will collaborate with a multidisciplinary team to design, develop, and deploy AI driven applications-from data … creation and deep learning model training to embedding automation technologies and hardware interfaces. You will be involved in every phase of the system development lifecycle, including requirements generation, system and software design, implementation, integration & test, and verification & validation. Activities span low TRL research, prototype development, demo construction ...

Machine Learning Engineer | Python | Pytorch | Natural Language Processing | LLM | Large Language Models | Remote, Europe About Us We build AI assistants that make technical knowledge instantly accessible. As a research engineer, you will work on advancing our system’s ability to answer increasingly complex technical questions. Our technology is already … analyse experiments to push system performance You Might Be a Great Fit If You Have A Master's or PhD in Computer Science, Machine Learning, Mathematics, Statistics, or a related field Strong knowledge of machine learning, deep learning (including LLMs), and natural language processing Hands ...

exciting Data and AI topics. Find sample projects in our Motius Success Stories. Your Role Solutions/Delivery Architect with focus on Machine Learning (m/f/d) in our R&D projects with engineering teams of 2-5 people Designing and building real AI and data solutions … ideally with AI or data specialization and at least 7+ years of industry track record in project based customer engagements Strong background in machine learning, deep learning, data science, and algorithmic problem solving Proven experience in data engineering and ML engineering pipelines, and technologies as well ...

exciting Data and AI topics. Find sample projects in our Motius Success Stories . Your Role Solution/Delivery Architect with focus on Machine Learning (m/f/d) in our R&D projects with engineering teams of 2-5 people Designing and building real AI and data … ideally with AI or data specialization and at least 7+ years of industry track record in project based customer engagements Strong background in machine learning, deep learning, data science, and algorithmic problem solving Proven experience in data engineering and ML engineering pipelines, and technologies as well ...

annum Type: Permanent Experience Required: 3 years delivering live AI products and 5 years or more of theory and applied machine learning understanding 167 Solutions is supporting a world leading manufacturing organisation in the search for an experienced and ambitious AI Engineer specialising in Generative AI. This role … Responsibilities Design, build, and deploy Generative AI models for enterprise manufacturing and operational intelligence use cases. Develop and maintain end to end machine learning pipelines using modern MLOps frameworks including CI and CD, observability, automated testing, and monitoring. Work with large scale, multi region data sets including structured ...

worked on large-scale GPU training, Triton/CUDA, or MoE systems? Are you ready to join one of Europe’s most technical deep-learning teams? A Europe-based deep learning company is building the next generation of foundation models. Think of a smaller, faster, highly ...

Shape the Future with AI — Start Your Career Here Are you fascinated by artificial intelligence, machine learning, and data-driven innovation? Are you excited by the potential of AI to solve real-world problems and build smarter systems? We’re looking for an ambitious and curious Graduate AI Analyst … Data Science team. This is an ideal role for a recent graduate who wants to kickstart their career by working on real AI projects, learning from experts, and gaining hands-on experience with modern AI tools, models, and data pipelines. Whether you studied Computer Science, Engineering, Maths, Data Science ...

expertise, software engineering rigor, and business acumen to deliver practical, high-quality solutions in real-world financial applications. Core Responsibilities Develop and deploy machine learning models (e.g., time-series forecasting, NLP pipelines, generative AI tools) to solve specific business challenges in finance, such as risk modeling, portfolio optimization … reliability using frameworks like PyTorch, TensorFlow, or cloud-based infrastructure Collaborate with research scientists to adapt cutting-edge algorithms (e.g., LLM fine-tuning, reinforcement learning) into actionable business solutions Document and maintain codebases, ensuring reproducibility, version control, and alignment with industry best practices (e.g., CI/CD pipelines) Mentor ...

Machine Learning Engineer Oxford - Some flexibility on the working times and potential for some hybrid working for the right candidate £Competitive + Excellent Benefits Join a fast-growing, venture-funded technology company developing the next generation of advanced metal components. Our multidisciplinary team of metallurgists, engineers, and software developers … works across the UK, Japan, and the US, using cutting-edge machine learning and physical modelling to accelerate materials innovation and transform manufacturing. Role Overview We are seeking a Machine Learning Engineer to design, develop, and validate novel ML models that optimise manufacturing processes and material composition. ...

skills on the job. Role Overview: As a Data & ML Engineer, you will design, build, and optimize scalable data pipelines and machine learning solutions. You’ll work with client teams to deliver intelligent data products, leveraging modern cloud and AI technologies. Key Responsibilities Design and implement robust data pipelines … workflows using Python, SQL, Spark, and Databricks. Develop and deploy machine learning models (including NLP, deep learning, and agentic AI) in production environments. Integrate data from diverse sources, including streaming and batch ingestion, using Azure Data Factory, GCP Dataflow and AWS services. Apply data modelling concepts (e.g. ...