Are you a curious and open-minded individual with an interest in leading teams conducting state-of-the-art foundational machine learning research? Thomson Reuters Labs is seeking Research Scientist Managers with a passion for leading teams and solving challenging machine learning problems in a data-rich, complex … academic environment driven by real-world problems. Foundational Research is the dedicated core Machine Learning research division of Thomson Reuters. We are focused on research and development, with a particular focus on advanced algorithms and training techniques for Large Language Models (LLMs). We are building a strong foundation … and participate in designing, coding, conducting experiments, and translating findings into concrete deliverables. Our focus areas are: LLM Training (Continued Pretraining, Instruction Tuning, Reinforcement Learning Alignment, Distributed Training, Efficient ML techniques) Post-training techniques for planning & reasoning (e.g. LLMs & Knowledge Graphs, Advanced Prompting, CoT pipelines, RAG, Tool use, etc. More ❯
helping advertisers effectively reach their target audiences. BASIC QUALIFICATIONS - Master's degree - Experience programming in Java, C++, Python or related language - Experience with neural deeplearning methods and machine learning - Experience in building machine learning models for business application - Experience in applied research - Experience with large … scale machine learning systems such as profiling and debugging and understanding of system performance and scalability - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. PREFERRED QUALIFICATIONS - Experience with popular deeplearning frameworks such as MxNet and Tensor Flow. - PhD More ❯
Centre (London) Limited - C26 The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Senior Applied Scientist with a strong deeplearning background, to build industry-leading Generative Artificial Intelligence (GenAI) technology with Large Language Models (LLMs) and multimodal systems. Key job responsibilities As … the best-possible experience for our customers. BASIC QUALIFICATIONS Master's degree Experience programming in Java, C++, Python or related language Experience with neural deeplearning methods and machine learning Experience in building machine learning models for business application Experience in applied research PREFERRED QUALIFICATIONS Experience More ❯
Hours: Full Time DESCRIPTION The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Senior Applied Scientist with a strong deeplearning background, to build industry-leading Generative Artificial Intelligence (GenAI) technology with Large Language Models (LLMs) and multimodal systems. Key job responsibilities As … the best-possible experience for our customers. BASIC QUALIFICATIONS Master's degree Experience programming in Java, C++, Python or related language Experience with neural deeplearning methods and machine learning Experience in building machine learning models for business application Experience in applied research PREFERRED QUALIFICATIONS Experience More ❯
Sensors Job ID: Evi Technologies Limited The Camera and Sensors team is looking for a passionate, talented, and inventive Applied Scientist with a strong deeplearning background, to help build industry-leading technology with computer vision and multimodal perception models for various Amazon devices. Key job responsibilities As … engineers across multiple global teams in the devices group. BASIC QUALIFICATIONS - PhD - Experience programming in Java, C++, Python or related language - Experience with neural deeplearning methods and machine learning - Experience in building machine learning models for business applications - Experience in applied research PREFERRED QUALIFICATIONS - Experience More ❯
Sensors Job ID: Evi Technologies Limited The Camera and Sensors team is looking for a passionate, talented, and inventive Applied Scientist with a strong deeplearning background, to help build industry-leading technology with computer vision and multimodal perception models for various Amazon devices. Key job responsibilities As … engineers across multiple global teams in the devices group. BASIC QUALIFICATIONS PhD Experience programming in Java, C++, Python or related language Experience with neural deeplearning methods and machine learning Experience in building machine learning models for business application Experience in applied research PREFERRED QUALIFICATIONS Experience More ❯
Sensors Job ID: Evi Technologies Limited The Camera and Sensors team is looking for a passionate, talented, and inventive Applied Scientist with a strong deeplearning background, to help build industry-leading technology with computer vision and multimodal perception models for various Amazon devices. Key job responsibilities: As … engineers across multiple global teams in the devices group. BASIC QUALIFICATIONS - PhD - Experience programming in Java, C++, Python or related language - Experience with neural deeplearning methods and machine learning - Experience in building machine learning models for business application - Experience in applied research PREFERRED QUALIFICATIONS - Experience More ❯
Type: Permanent Hours: Full Time DESCRIPTION The Camera and Sensors team is looking for a passionate, talented, and inventive Applied Scientist with a strong deeplearning background, to help build industry-leading technology with computer vision and multimodal perception models for various Amazon devices. Key Responsibilities As an … engineers across multiple global teams in the devices group. BASIC QUALIFICATIONS PhD Experience programming in Java, C++, Python or related language Experience with neural deeplearning methods and machine learning Experience in building machine learning models for business applications Experience in applied research PREFERRED QUALIFICATIONS Experience More ❯
The Francis Crick have an exciting opportunity available for a Machine Learning Engineer???? to join one of the world's leading research Institutes at a crucial time in its evolution, and play a definitive role in shaping it for the future. You will join us on a full time … staff collaborate on vital research to help prevent, diagnose and treat illnesses such as cancer, heart disease, infectious diseases and neurodegenerative conditions. The Machine Learning Engineer role: The role will be placed in the Software Engineering and AI facility and will support the MANIFEST research platform led by Prof. … Multiomic ANalysis of Immunotherapy Features Evidencing Success and Toxicity”), a newly formed ambitious multi-stakeholder consortium involving academic, industry and NHS partners to deliver deep multi-omic profiling for patients with cancer undergoing immunotherapy. The post holder will work closely with the Software Engineering and AI team and Cancer More ❯
guidance stands to redefine primary care while helping people live happier, healthier, and longer. Job Summary: We're seeking a Bayesian Data Scientist with deep expertise in probabilistic modeling and a strong grasp of modern AI advancements, including foundation models , generative AI , and variational inference . This role is … and developing interpretable, high-impact models in real-world systems. You will apply state-of-the-art techniques from Bayesian statistics and modern machine learning to build scalable, efficient, and insightful models-driving real business impact. Location: Remote/Hybrid/USA-SF, USA-remote, UK-London, UK-remote … and Gaussian processes for modern AI use cases. Collaborate closely with product, engineering, and business teams to build end-to-end modeling solutions. Conduct deep-dive statistical and machine learning analyses, simulations, and experimental design. Stay current with emerging trends in generative modeling, causality, uncertainty quantification, and responsible More ❯
Skills – Must have: • AI Solution Architects are data and analytics professionals with at least 5 years of experience with knowledge of Transformer (and other DeepLearning) Architectures, data lake architectures, data integration, and data governance, and at least 2 years of experience with cloud-based AI/ML … Good to have: • Expertise in any one framework (TensorFlow, Pytorch, Keras) • Experience in a statistical programming language (e.g. R or Python) and applied machine learning and AI techniques (i.e computer vision, deeplearning, conversational AI, and natural language processing frameworks.) • Experience with Transforms Architecture Design, specializing LLM … Patterns. • Extensive knowledge of big data technologies • Knowledge on Statistical Methods • OTHER SKILLS WE'D APPRECIATE 1. Understanding of NLP engines, Artificial Intelligence, Machine Learning frameworks etc. EDUCATION QUALIFICATION • Graduate in Engineering OR master’s in computer applications. Process Skills: • General SDLC processes • Understanding of utilizing Agile and Scrum More ❯
Skills – Must have: • AI Solution Architects are data and analytics professionals with at least 5 years of experience with knowledge of Transformer (and other DeepLearning) Architectures, data lake architectures, data integration, and data governance, and at least 2 years of experience with cloud-based AI/ML … Good to have: • Expertise in any one framework (TensorFlow, Pytorch, Keras) • Experience in a statistical programming language (e.g. R or Python) and applied machine learning and AI techniques (i.e computer vision, deeplearning, conversational AI, and natural language processing frameworks.) • Experience with Transforms Architecture Design, specializing LLM … Patterns. • Extensive knowledge of big data technologies • Knowledge on Statistical Methods • OTHER SKILLS WE'D APPRECIATE 1. Understanding of NLP engines, Artificial Intelligence, Machine Learning frameworks etc. EDUCATION QUALIFICATION • Graduate in Engineering OR master’s in computer applications. Process Skills: • General SDLC processes • Understanding of utilizing Agile and Scrum More ❯
Fulfillment Technology) Software, FC Launch, Supply Chain, and EU fulfillment center leaders Create standards for your process and training material in collaboration with the Learning & Development team, to secure high level of knowledge within the FC operations Collaborate with the extended EU ACES teams to define process standards and … process excellence and continuous improvement culture in a large organization Strong Process/benchmark auditing and non-compliance management experience Experience with modern machine learning: deeplearning, online/reinforcement learning, semi-supervised and transfer learning Experience working with technology and software teams to align More ❯
least ten years experience designing and architecting large-scale, distributed systems. At least three years designing and deploying AI/ML/NLP/DeepLearning solutions. Demonstrable experience as an expert in AI, with a consistent record of leading the architecture of multiple LLM and Generative AI … with embeddings, chunking and other optimization techniques within VectorDBs. Expert programming skills in languages such as Python, Java, or C++, and working knowledge of deeplearning frameworks such as TensorFlow, PyTorch, or Hugging Face. Understanding of generative models, such as Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and … models (e.g., GPT, BERT for text). Experience in collaborating with data engineers, implementing advanced AI, ML, and NLP techniques using industry standard frameworks. Deep familiarity with vector databases and data processing techniques for LLMs, including model chunking. Hands-on experience with LLM application frameworks, such as Langchain. Proven More ❯
Job Details: Principal Machine Learning Engineer Full details of the job. Job Title: Principal Machine Learning Engineer Job Description: Sage AI is a nimble team within Sage, building innovative services and solutions using generative AI and machine learning to turbocharge our users' productivity. The Sage AI team … builds capabilities to help businesses make better decisions through data-powered automation and insights. We are currently hiring a Principal Machine Learning Engineer to help us build machine learning solutions that will provide insights to empower businesses and help them succeed. As a part of our cross-functional … team including data scientists and engineers you will help steer the direction of the entire company's Artificial Intelligence and Machine Learning initiatives. This is a hybrid role - three days per week in our London office. If you share our excitement for applying artificial intelligence and machine learningMore ❯
Software Engineer - AI Framework Hybrid Work Full-Time An innovative semiconductor team is seeking a Software Engineer with deep expertise in AI and machine learning frameworks to help build the next generation of GPU and AI acceleration solutions. This is a unique opportunity to contribute to cutting-edge … support to additional frameworks (e.g., TensorFlow, ONNX). Produce developer documentation and resources. Requirements: 5+ years of experience in AI/ML software development. Deep understanding of PyTorch internals and other major ML frameworks. Experience optimizing deeplearning performance on accelerator hardware. Solid knowledge of deeplearning algorithms and compute patterns. Strong programming skills in C++, CUDA, or OpenCL. Background in performance profiling and optimization. BS/MS in Computer Science, Electrical Engineering, or a related field. Interested? Send your CV to to apply. More ❯
Software Development Engineer - Machine Learning Job ID: Amazon Europe Core Sarl - D40 Do you want to solve business challenges through innovative technology? Do you enjoy working on cutting-edge, scalable services technology in a team environment? Do you like working on industry-defining projects that move the needle? At … Computer Science, Computer Engineering, or related fields at time of application • Knowledge of Computer Science fundamentals • Experience with Natural Language Processing, Computer Vision, or DeepLearning PREFERRED QUALIFICATIONS • Previous technical internship(s) if applicable • Experience with distributed, multi-tiered systems, algorithms, and relational databases • Experience such as linear … AI, Labeling, Annotation, Data Pipeline, Big Data, AWS, or Cloud Services • Experience with Computer Vision: Kernel, Hardware Accelerator, TVM, or Code-gen • Experience with DeepLearning: C++ or Python, and AI, Neural Network, Tensorflow, PyTorch, MxNET, Llvm, Compiler, CPU, CUDA, Nvidia, TensorRT, TPU, Cluster Management, High Performance Computing More ❯
and leadership 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 for generative AI Create and deliver best practice recommendations, tutorials, blog posts … executive stakeholder Provide customer and market feedback to Product and Engineering teams to help define product direction. BASIC QUALIFICATIONS 5+ years of building machine learning models or developing algorithms for business application experience Master's degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics … or equivalent quantitative field Knowledge of programming languages such as C/C++, Python, Java or Perl Proven knowledge of deeplearning and experience hosting and deploying ML solutions (e.g., for training, tuning, and inferences) PREFERRED QUALIFICATIONS PhD in engineering, technology, computer science, machine learning, robotics, operations More ❯
join our forward-thinking London-based team and contribute to transformative AI initiatives from day one! In this role, you’ll collaborate with machine learning engineers, product teams, and domain experts to design and deploy AI models that solve real-world problems. From natural language processing to computer vision … s in it for you? AI-Focused Projects: Work on cutting-edge AI systems—chatbots, recommendation engines, anomaly detection, generative models, and more. Accelerated Learning: Access to AI-specific training, conferences, and mentorship from experienced data scientists and ML engineers. Innovative Culture: Be part of a team where experimentation … What We’re Looking For: A degree in Artificial Intelligence, Data Science, Computer Science, Mathematics, or a related field. Experience or coursework in machine learning, deeplearning, or AI techniques (e.g., supervised learning, neural networks, NLP). Proficiency in Python and libraries like Scikit-learn, TensorFlow More ❯
join our forward-thinking London-based team and contribute to transformative AI initiatives from day one! In this role, you’ll collaborate with machine learning engineers, product teams, and domain experts to design and deploy AI models that solve real-world problems. From natural language processing to computer vision … s in it for you? AI-Focused Projects: Work on cutting-edge AI systems—chatbots, recommendation engines, anomaly detection, generative models, and more. Accelerated Learning: Access to AI-specific training, conferences, and mentorship from experienced data scientists and ML engineers. Innovative Culture: Be part of a team where experimentation … What We’re Looking For: A degree in Artificial Intelligence, Data Science, Computer Science, Mathematics, or a related field. Experience or coursework in machine learning, deeplearning, or AI techniques (e.g., supervised learning, neural networks, NLP). Proficiency in Python and libraries like Scikit-learn, TensorFlow More ❯
will range from training next-generation AI cybersecurity firewall LLMs to training foundation genomic models making predictions about life-saving drug proteins. Having a deep curiosity about the hardest questions about LLMs will also motivate various research opportunities on how to apply ML to the forefront of enterprise data. … into production-serving LLMs. Work closely with customers - some of the most sophisticated ML organizations in the world - to quickly prototype and build new deeplearning models targeted at multi-modal content understanding problems. Ideally you'd have: At least 1-3 years of model training, deployment and … maintenance experience in a production environment Strong skills in NLP, LLMs and deeplearning Solid background in algorithms, data structures, and object-oriented programming Experience working with a cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment Experience building products More ❯
scientists, and business stakeholders to ensure AI initiatives are aligned with strategic objectives. Key Responsibilities Lead the architectural design of advanced AI and machine learning solutions for enterprise clients Define AI roadmaps, frameworks, and reference architectures in line with business goals Collaborate with technical and non-technical stakeholders to … innovative ideas and approaches Experience Required Strong experience in AI/ML solution architecture within large-scale, complex environments Hands-on expertise with machine learning, deeplearning, NLP, computer vision, and/or large language models Proven experience with cloud platforms such as AWS, Azure, or Google … Cloud Familiarity with tools and frameworks such as TensorFlow, PyTorch, MLflow, SageMaker, or Databricks Deep understanding of data architecture, APIs, and model deployment best practices Knowledge of MLOps and full model lifecycle management Excellent communication and stakeholder management skills Desirable MSc or PhD in Computer Science, Artificial Intelligence, or More ❯
Month Contract (Somerset, Hybrid) 📍 Location: Commutable from Bristol (Somerset) - Hybrid ⏳ Contract: 12 Months 💰 Day Rate: Competitive - Inside IR35 🏢 Industry: Government Defence | Data | AI & Machine Learning 🔐 Security Clearance: Active SC clearance preferred but not essential—candidates must be eligible for clearance . The Opportunity Our client, a leading Data enabler … and data science strategy. This high-impact role will lead a team of data scientists and work closely with senior stakeholders to operationalise machine learning , enhance automation, and ensure responsible AI governance. This is an exciting opportunity to shape the future of AI and data science within a Microsoft … date with industry advancements and emerging AI applications. 🔹 Collaborate with external partners, including other government agencies and industry bodies. 🔹 Provide technical leadership on machine learning deployment, MLOps, and model performance monitoring . Key Requirements ✅ Expertise in Data Science & Machine Learning , including supervised/unsupervised learning, deepMore ❯
imagine, design, and make a better world. We are a team of scientists, researchers, engineers, and designers working together on projects that range from learning-based design systems, computer vision, graphics, robotics, human-computer interaction, sustainability, simulation, manufacturing, architectural design and construction. This role will report to a Manager … a field related to AI/ML such as: Computer Science, Mathematics, Statistics, Physics, Linguistics, Mechanical Engineering, Architecture or related disciplines Strong background applying DeepLearning techniques (including implementing custom architectures, optimizing model performance, developing novel loss functions, and deploying production-ready solutions) Familiarity in statistical methods for … Machine Learning (e.g. Bayesian methods, HMMs, graphical models, dimension reduction, clustering, classification, regression techniques, etc.) Familiarity with PyTorch, TensorFlow, JAX or similar frameworks Strong coding abilities in Python Preferred Qualifications Experience in the Architecture, Engineering, and/or Construction domains, including expertise with industry-specific data formats (e.g., BIM More ❯
Alexa Conversational Modelling and Intelligence org in UK is looking for a Senior Applied Scientist with a background in Natural Language Processing, Machine/DeepLearning, and Large Language Models (LLMs). You will be working with a team of applied and research scientists to enhance existing features … and guide junior scientists and contribute to the overall growth and development of the team. BASIC QUALIFICATIONS - PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field. - Experience with neural deeplearning methods and machine learning. - Experience in building machine … learning models for business applications. - Experience in applied research. - Experience programming in Java, C++, Python or related languages. - Strong track record of patents and publications. PREFERRED QUALIFICATIONS - Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects). - Experience More ❯