15 of 15 Deep Learning Jobs in Slough

NVIDIA's Worldwide Field Operations (WWFO) team is looking for a Solutions Architect with deep expertise Generative AI post-training from data processing to model alignment, with a strong background in Large Language Models (LLMs). In particular, we are seeking someone skilled in data preparation and curation … large-scale model training, as well as in LLM alignment techniques such as reinforcement learning from human feedback (RLHF) and Supervised Finetuning (SFT). In this role, you will operate at the intersection of innovative AI research and real-world applications. You will work as the primary technical specialist ...

Lead Machine Learning Engineer Salary: £97,500 per annum, plus company benefits Contract: Full time, permanent Shifts: 37.5 hours per week Mon-Fri, 8:30am-5pm with a 1-hour unpaid break Work model: Fully remote Williams Lea seeks a Lead Machine Learning Engineer to join our team … cloud-based platforms, leveraging tools like auto-scaling, Infrastructure as Code, and continuous delivery methodologies to optimize performance and accelerate delivery Key Responsibilities: Machine Learning Solution Development: Design, develop and deploy ML models, algorithms and agentic AI systems to address complex business challenges across a range of sectors Cloud ...

industries such as robotics, manufacturing, and healthcare by combining perception and language with decision-making. The ideal candidate is an AI specialist with a deep understanding of vision language models and desire to reapply those skills in robotics. If you have a passion for vision-language-action models, large … scale pretraining, robotic data curation, and post-training using supervised fine-tuning and reinforcement learning, this is a position for you! What You Will Be Doing Serve as the primary technical expert between NVIDIA and our customers, understanding their technology and provide the best AI solutions/guidance ...

Action and Personalisation strategies. You'll help shape how PlayStation invests in, retains, and delights its players - and advance our use of modern machine learning at global scale. This is an exciting opportunity to develop your skills in modern machine learning while contributing to high-impact projects that … Doing: Design and deliver models that quantify player value, engagement, and growth, shaping strategies across the player lifecycle. Apply advanced ML and deep learning approaches (e.g., transformers, embeddings, sequence models) to capture player behaviours and monetisation patterns. Partner with senior stakeholders in commercial, finance, and lifecycle teams ...

intersection of research innovation and engineering pragmatism Are energised by the constraints of real-time, power-limited embedded systems Responsibilities Develop, optimize, and deploy deep learning models on our Ambarella CVFlow-based camera platforms, or future replacements in the future. Bridge the gap between our research and systems … engineering teams, translating state-of-the-art AI models into highly efficient, production-ready code. Dive deep into the Ambarella CVFlow architecture to maximize the performance of our neural networks, leveraging your expertise in computer vision, hardware acceleration, and low-level programming. Analyze and profile model performance, identifying ...

expansion Opportunity to shape the future of AI solutions in a high-growth environment What you will do: Research, design, and implement advanced machine learning algorithms and models Develop and optimize AI pipelines for data processing, training, and inference Collaborate with cross-functional teams to integrate AI solutions into … products The ideal candidate: Proven experience in machine learning, deep learning, and natural language processing Strong programming skills in Python and experience with AI/ML frameworks (e.g., TensorFlow, PyTorch) Ability to translate complex problems into practical, scalable AI solutions How to Apply: To apply for this ...

analytics to drive measurable value. What you will be doing: Data Science and Analytics Lead the design and delivery of advanced analytical and Machine Learning solutions across different business functions; for example; predictive reserving, claims forecasting, capital optimisation, portfolio risk, and operational efficiency, leveraging end-to-end ML architectures … spanning supervised, unsupervised, and reinforcement learning. Combine statistical methods with modern ML techniques such as gradient boosting (XGBoost, LightGBM), ensemble methods, deep learning (CNN, RNN, LSTM), and generative models (GAN, VAE) to enhance predictive accuracy, interpretability, and automation. Engineer scalable analytical frameworks and reusable ML assets, integrating Python ...

state of the art and solve specific problems at scale in one or more of the following areas: Natural Language Processing, Machine and Deep Learning. Work closely with a diverse, interdisciplinary team to deliver value to customers (existing and new products). Contribute to the research community via publications … security, LLMs, agentic AI, generation, machine translation, summarization, topic detection & tracking, text classification, knowledge extraction/representation/management, trending topic detection, search, machine learning and deep learning, etc. Outstanding publication record (IEEE, AAAI, NeurIPS, ACL, TACL, EMNLP, etc.). Demonstrated ability to work independently ...

Purpose We are seeking a highly experienced Coding/Machine Learning professional to serve as a consultant on AI training data projects for leading AI model builders and enterprises. Your focus will be to define success criteria, review outputs, and provide targeted guidance to improve quality and speed — directly … recurrence to surface production insights that improve project outcomes. Conduct post-mortems, analyze defect trends, and propose process tweaks or training refreshers. Target Profile Deep technical expertise and 5+ years professional experience in software engineering, machine learning, or data science, with demonstrable industry impact. Mastery ...

model improvement, and performance tuning. Document code and workflows clearly; follow best practices for reproducibility and code quality. Requirements Hands-on experience with machine learning, NLP, or information retrieval projects, preferably with language models. Proficiency in Python and familiarity with deep learning/NLP libraries (Langchain, PyTorch ...

organisation to recruit a contract Senior AI Engineer. This hands-on role is perfect for someone passionate about applying cutting-edge AI and machine learning to solve real-world industrial and customer challenges. You'll leverage your background in mathematics, computer science, or a related STEM field to deliver … delivery. Responsibilities for the Senior AI Engineer Design, build and deploy AI/ML systems that drive measurable business impact. Apply advanced AI techniques - deep learning, GNNs, object detection, sensor fusion, embeddings, RAG and generative AI - to create adaptive, self-learning solutions. Provide guidance on AI architecture ...

Data Scientist/Data Engineer A understand of Palantir would be a huge + Experience of completing projects to deadline. Experience in Deep Learning and DL frameworks such as Tensorflow/Pytroch Deploying ML models Good command of Python and use of libraries for data science – scikit-learn ...

Data Scientist/Data Engineer A understand of Palantir would be a huge + Experience of completing projects to deadline. Experience in Deep Learning and DL frameworks such as Tensorflow/Pytroch Deploying ML models Good command of Python and use of libraries for data science – scikit-learn ...

Data Scientist/Data Engineer A understand of Palantir would be a huge + Experience of completing projects to deadline. Experience in Deep Learning and DL frameworks such as Tensorflow/Pytroch Deploying ML models Good command of Python and use of libraries for data science – scikit-learn ...

marketing technologies for top brands and agencies worldwide. Its proprietary ad-buying engine is the first in the world to be powered entirely by Deep Learning algorithms, enabling advertisers to generate outstanding results and reach their goals at every stage of the funnel. Our dynamic UK team consists ...