276 to 300 of 414 Deep Learning Jobs in England

quantitative academic role, underpinned by high mathematical and statistical competence. You are a strong Python programmer, proficient in essential libraries (NumPy, Pandas) and a deep-learning framework (TensorFlow/PyTorch). You possess a solid grasp of core data science techniques (supervised/unsupervised learning, time-series … know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual ...

globally for its attitudes and rigour more importantly, you will be surrounded by smart people deeply interested in teaching what they know, and in learning from you. You will join the quant team, designing, analysing and improving sport prediction models and high frequency trading strategies. You'll be part … Maths, Stats or Engineering degree. Demonstrable Python experience Strong Stats Background Outstanding background in probability and statistics Experience and interest in modern machine learning techniques, for example, deep learning, Bayesian methods and graphical models Programming experience with python, julia or R You will be joining a progressive ...

developing cutting‐edge AI technologies that will transform how people manage their time, tasks, and daily lives. Key Responsibilities: Lead research initiatives in machine learning, natural language processing, and AI to enhance our suite of productivity tools. Develop novel algorithms and models to improve task automation, predictive scheduling … thought leader in Application AI. Mentor junior researchers and foster a culture of innovation within the team. Qualifications: PhD in Computer Science, Machine Learning, or a related field. 5+ years of experience in AI research, with a focus on applications in productivity tools or similar domains. Strong publication record ...

diseases. Задачи: Execute and deliver full AI/ML-driven solutions from sourcing training data through model design, implementation, testing, and benchmarking; Apply machine learning and AI methods to biological networks and sequence data from large-scale human genetic, functional genomic, and single-cell experiments. Требования: Hold a Master … degree in a related field such as computer science, mathematics, or natural sciences; Know machine learning, software engineering, and agentic development best practices; Demonstrate proficiency with standard deep learning algorithms and model architectures; Have experience with Python and PyTorch, or equivalent languages and machine learning frameworks ...

team that works together About You You have hands-on data science experience Bring practical Python and Git capability Understand common statistical-learning models and machine-learning algorithms for classification and regression Have sound statistical fundamentals, including hypothesis testing and experimental design Can independently take an ambiguous problem … Product and Engineering partners Added bonus Experience in consumer credit, lending, credit cards or a closely related credit-risk domain Exposure to sequence-based deep-learning or transformer-style models Experience building production-grade Python microservices At Zopa we value flexible ways of working. We value face ...

problems at scale. Key Responsibilities Advance ML Science & Infrastructure: Carry out cutting‐edge research to push the state of the art in machine learning systems, large language models (LLMs), and generative AI. Recursive Self-Improvement Focus: Design and build reinforcement learning environments, generate synthetic data, and research multi … publish findings and impact production systems, subject to organization policies. Role Requirements & Qualifications Minimum Qualifications: Experience: Sufficient years of hands‐on experience in machine learning, recommendation systems, pattern recognition, data mining, or artificial intelligence. Core Technical Stack: Advanced proficiency in Python and hands‐on experience with deep learning ...

your penultimate/final year of education. Experience in one or more research areas; natural language understanding/processing, computer vision, LLMs, machine learning, algorithmic foundations of optimization, data mining, machine intelligence (Artificial Intelligence), AI/ML algorithms, deep learning or image processing, multimodal, multilingual and reinforcement … extend and improve on Google's product offering. Contribute to a wide variety of projects utilising natural language processing, artificial intelligence, data compression, machine learning, and search technologies. Please complete your application before 23rd October 2026. We encourage you to apply as early as possible as we review applications ...

petabytes of data and a growing GPU cluster containing tens of thousands of high-end GPUs. Depending on the day, we might be diving deep into market data, tuning hyperparameters, debugging distributed training performance or studying how our model likes to trade in production. We don’t believe … size-fits-all” modelling solutions; we are open to and excited about applying all different types of statistical and machine learning techniques, from linear models to deep learning, depending on what best fits a given problem. The most successful researchers will be driven by a curiosity ...

This is an opportunity to make a significant impact across one of the largest retail groups in Europe. We are looking for a Machine Learning Engineer who will support the delivery and operationalisation of advanced artificial intelligence solutions created by our Group AI team. Your work will help shape … products, services and decision making across our retail brands. You will work as part of a high performing engineering team to build scalable machine learning systems, ensuring models are robust, efficient and suitable for a live environment. You will collaborate with engineering, product and architecture colleagues to improve tools ...

This is an opportunity to make a significant impact across one of the largest retail groups in Europe. We are looking for a Machine Learning Engineer who will support the delivery and operationalisation of advanced artificial intelligence solutions created by our Group AI team. Your work will help shape … products, services and decision making across our retail brands. You will work as part of a high performing engineering team to build scalable machine learning systems, ensuring models are robust, efficient and suitable for a live environment. You will collaborate with engineering, product and architecture colleagues to improve tools ...

This is an opportunity to make a significant impact across one of the largest retail groups in Europe. We are looking for a Machine Learning Engineer who will support the delivery and operationalisation of advanced artificial intelligence solutions created by our Group AI team. Your work will help shape … products, services and decision making across our retail brands. You will work as part of a high-performing engineering team to build scalable machine learning systems, ensuring models are robust, efficient and suitable for a live environment. You will collaborate with engineering, product and architecture colleagues to improve tools ...

This is an opportunity to make a significant impact across one of the largest retail groups in Europe. We are looking for a Machine Learning Engineer who will support the delivery and operationalisation of advanced artificial intelligence solutions created by our Group AI team. Your work will help shape … products, services and decision making across our retail brands. You will work as part of a high performing engineering team to build scalable machine learning systems, ensuring models are robust, efficient and suitable for a live environment. You will collaborate with engineering, product and architecture colleagues to improve tools ...

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 ownershipMaintain and enhance microservices based components for the application suite. Recommend, create ...

languages such as Python, TypeScript/JavaScript, Java, or C++.2+ years of experience applying AI/ML in production environments, such as deploying deep learning solutions, building generative/agentic AI applications or setting up evaluations pipelinesFamiliarity with cloud-based machine learning tools and platforms (e.g. … Azure)Strong problem-solving skills, with a data-driven approach to iterating on machine learning models and datasetsExcellent written and verbal communication skills to collaborate effectively in a cross-functional environmentNice to haves: Experience working at a startup, particularly as founding engineerExperience building and deploying large-scale AI solutionsStrong ...

existing product lines we have, that millions of patients use, and build out new ones at the very cutting edge of healthcare reinforcement learning and agentic AI. Your work will save countless lives. Do you want to use your medical knowledge to build something awesome? Ever feel like … deal this is?!’ Since Day 1 (as written in our YC application), we’ve been building towards the holy grail of personalised medicine and deep phenotyping, powered by our proprietary active learning architecture. As I said earlier, I actually submitted a 2021 patent that was prescient ...

globally for its attitudes and rigour more importantly, you will be surrounded by smart people deeply interested in teaching what they know, and in learning from you. You will join the quant team, designing, analysing and improving sport prediction models and high frequency trading strategies. You'll be part … data. Quant Analysts Must Ideally Have: Comp Ski, Maths, Stats or Engineering degree. Outstanding background in probability and statisticsExperience and interest in modern machine learning techniques, for example, deep learning, Bayesian methods and graphical modelsProgramming experience with python, julia or RYou will be joining a progressive ...

capabilities, and skills Advanced degree (PhD or MS) or equivalent in a quantitative field: Physics, Mathematics, Computer Science, Engineering, etc Robust understanding of Machine Learning, Statistics, and Mathematics, both in fundamentals as well as in application Experience in tackling real world data science problems, end‐to‐end from prototype … production, using Python Excellent communication skills (both verbal and written) and the ability to present findings to a non‐technical audience Passion for learning, sharing knowledge, building collaborations, and getting things done Preferred qualifications, capabilities, and skills Participation in KDD/Kaggle competition, Hackathons or contribution to GitHub ...

Research & Development function of the Insights team. The primary focus of this role is to design and build world-leading statistical and machine learning models that provide a competitive advantage to England teams. The successful candidate will develop innovative methodologies to model diverse aspects of international football and deliver … insights to a wide range of stakeholders. Leveraging their technical expertise, the Research & Development Data Scientist will design, train and validate statistical and machine learning models, working closely with stakeholders to ensure cutting-edge, data-driven insights are effectively communicated and embedded into decision-making. What will ...

capabilities, and skills Advanced degree (PhD or MS) or equivalent in a quantitative field: Physics, Mathematics, Computer Science, Engineering, etc Robust understanding of Machine Learning, Statistics, and Mathematics, both in fundamentals as well as in application Experience in tackling real world data science problems, end-to-end from prototype … production, using Python Excellent communication skills (both verbal and written) and the ability to present findings to a non-technical audience Passion for learning, sharing knowledge, building collaborations, and getting things done Preferred qualifications, capabilities, and skills Participation in KDD/Kaggle competition, Hackathons or contribution to GitHub ...

capabilities, and skills Advanced degree (PhD or MS) or equivalent in a quantitative field: Physics, Mathematics, Computer Science, Engineering, etc Robust understanding of Machine Learning, Statistics, and Mathematics, both in fundamentals as well as in application Experience in tackling real world data science problems, end-to-end from prototype … production, using Python Excellent communication skills (both verbal and written) and the ability to present findings to a non-technical audience Passion for learning, sharing knowledge, building collaborations, and getting things done Preferred qualifications, capabilities, and skills Participation in KDD/Kaggle competition, Hackathons or contribution to GitHub ...

applied machine learning.* Hands-on experience with LLMs, RAG, semantic search, or agentic AI systems.* Strong Python programming skills.* Experience with ML fundamentals, deep learning concepts, embeddings, transformers, and LLM architectures.* Experience using LangChain, LangGraph, LlamaIndex, AutoGen, MCP, or similar AI frameworks.* Experience with vector databases such … analytics, or telecom network operations.* Experience deploying AI services using Kubernetes, Docker, APIs, and cloud-native environments.**Required Technical Skills*** Python.* ML basics and deep learning.* LLMs and transformers.* LangChain, LangGraph, MCP, or similar frameworks.* Vector databases and semantic search.* Graph APIs and knowledge graphs.* Data pipelines and data ...

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 ...

bottlenecks (KYC, payment method, geo), and partner with PMs and designers to ship measurable improvements. ML/AI modeling. Design, train, and deploy machine learning models, from classification and forecasting to clustering and recommendation, that power decisions inside the product (e.g., dynamic payment method ranking, user lifetime value, churn … Redshift, or similar) and write performant, readable queries. Solid Python (or R) for analysis and modeling: pandas, scikit-learn, statsmodels, and at least one deep-learning or gradient-boosting framework (XGBoost, LightGBM, PyTorch, TensorFlow). Experimentation fluency. You understand the math behind A/B testing, sample sizing ...

Senior Machine Learning Infrastructure Engineer London, United Kingdom About us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across … converging" into infrastructure hypotheses and solutions, and can bridge technical abstractions with implementations. 5+ years of experience building and operating ML infrastructure at scale: Deep expertise in distributed training: you've debugged NCCL hangs, optimized collective communication, and know when to use FSDP vs. DDP vs. pipeline parallelism Strong ...

brands including B&Q, Screwfix, Brico Depot, Castorama and Koctas. It helps customers improve their homes through retail products and services. Задачи: Develop machine learning models and support their deployment into production; Write robust, efficient and maintainable production-quality code; Contribute to implementing and improving pipelines, tooling and automation … support a collaborative team culture. Требования: Good understanding of computer science fundamentals, including data structures, algorithms and software design; Practical experience with classical machine learning techniques and awareness of natural language processing and deep learning; Strong Python skills and experience with Pandas, scikit-learn and Jupyter; Experience ...