301 to 325 of 414 Deep Learning Jobs in England

looking for a talented Senior Algorithms Engineer to join an innovative engineering team developing advanced machine learning and computer vision solutions for complex, real-world applications. This is an exciting opportunity for an experienced engineer to work on challenging perception and intelligence problems, applying techniques across AI, computer vision … technically challenging projects, influence future development activities, and support the growth of engineering capability through collaboration and mentoring. Key Responsibilities Develop and optimise machine learning and computer vision algorithms for real-world applications. Investigate complex technical challenges, designing experiments and approaches to identify effective solutions. Analyse datasets, model performance ...

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 ...

finance, by bringing scientific clarity to financial complexity. From our London HQ, we unite world-class researchers and engineers in an environment that values deep exploration and methodical execution - because the best ideas take time to evolve. Together we’re building a world-class platform to amplify our teams … reference solutions. Your work will influence long-term platform evolution and help shape the architecture, software stack and tooling that underpins large-scale machine learning computation. Key responsibilities Collaborating with researchers, senior stakeholders and engineers to understand their compute challenges and design optimised solutions. Profiling, benchmarking and tuning large ...

finance, by bringing scientific clarity to financial complexity. From our London HQ, we unite world-class researchers and engineers in an environment that values deep exploration and methodical execution - because the best ideas take time to evolve. Together we're building a world-class platform to amplify our teams … reference solutions. Your work will influence long-term platform evolution and help shape the architecture, software stack and tooling that underpins large-scale machine learning computation. Key responsibilities of the role include: Collaborating with researchers, senior stakeholders and engineers to understand their compute challenges and design optimised solutions. Profiling ...

hold a degree (or PhD) in a STEM discipline or an equivalent commercial experience. You bring hands-on experience with sophisticated architectures, such as deep learning, graph-based, or sequence-based models (experience in Fintech, Fraud Prevention, or Payments is a big plus).You can translate complex … concepts into practical product solutions and communicate these ideas clearly to non-technical peers. You are comfortable owning the full lifecycle, from deep-dive analysis and feature engineering to prototyping, validation, and live A/B testing. You lead by example, writing clean, high-quality code and raising ...

high-impact publication. Shaping the research agenda by identifying high-impact projects that balance scientific rigour with real-world relevance. Contributing thought leadership and deep technical expertise to support wider evaluation and red-teaming efforts. Supporting our positioning as a global leader through active external engagement with frontier labs … from framing novel problems to generating high-quality research artifacts. Passion for technical AI safety, whether developed in academia, industry labs, or evaluation roles. Deep knowledge of language models and generative AI architectures, including white-box techniques beyond API-level access. Strong foundation in machine learning fundamentals, particularly ...

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 … oral presentation skills, that engages internal and external audiences 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 ...

Role: Data EngineerEvery functional area, in every industry, is on an AI Journey. The power of machine learning to dramatically improve company key performance indicators is being proven every day. But, although we feel every large organisation is on an AI journey, the path to value is unclear. There … three key barriers to deploying AI and machine learning at scale: Building data pipelines that feed both the development and deployment of machine learning modelsImproving consistency, reducing effort and expanding the ability of data scientists to address the growing range of business problems from prediction to prescriptionBuilding ...

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 ...

make forecasts and develop profitable predictive trading models. What you will do We are seeking research scientists with a demonstrated ability to apply machine learning to achieve state-of-the-art capabilities in complex and challenging domains. The ideal person for this role will be capable of implementing … ICLR, AAAI, NeurIPS, UAI, KDD, or equivalent and/or contributions to open-source AI research Strong general ML background with exposure to modern deep learning techniques and/or language modeling architectures (e.g. transformers, SSMs) Solid development skills in Python and/or C++ Familiarity with ...

opportunity to work at the heart of data science, research and public policy. Advanced Analytics is hiring a Senior Data Scientist to develop machine learning (ML) and Artificial Intelligence (AI) solutions, with a focus on robust prototyping. We have pioneered the application of new analytical approaches in the Bank … England, such as generative AI, machine learning, natural language processing, agent-based models, network analytics, and randomised control trials. We’re looking for someone with ML/AI expertise to help us continue pushing the organisation’s analytical frontier to inform policymaking. DAT is leading the transformation ...

opportunity to work at the heart of data science, research and public policy. Advanced Analytics is hiring a Senior Data Scientist to develop machine learning (ML) and Artificial Intelligence (AI) solutions, with a focus on robust prototyping. We have pioneered the application of new analytical approaches in the Bank … England, such as generative AI, machine learning, natural language processing, agent-based models, network analytics, and randomised control trials. We’re looking for someone with ML/AI expertise to help us continue pushing the organisation’s analytical frontier to inform policymaking. DAT is leading the transformation ...

forwardRequired qualifications, capabilities, and skillsAdvanced degree (PhD or MS) or equivalent in a quantitative field: Physics, Mathematics, Computer Science, Engineering, etcRobust understanding of Machine Learning, Statistics, and Mathematics, both in fundamentals as well as in applicationExperience in tackling real world data science problems, end-to-end from prototype … production, using PythonExcellent communication skills (both verbal and written) and the ability to present findings to a non-technical audiencePassion for learning, sharing knowledge, building collaborations, and getting things donePreferred qualifications, capabilities, and skillsParticipation in KDD/Kaggle competition, Hackathons or contribution to GitHubYou demonstrate hands-on experience ...

forwardRequired qualifications, capabilities, and skillsAdvanced degree (PhD or MS) or equivalent in a quantitative field: Physics, Mathematics, Computer Science, Engineering, etcRobust understanding of Machine Learning, Statistics, and Mathematics, both in fundamentals as well as in applicationExperience in tackling real world data science problems, end-to-end from prototype … production, using PythonExcellent communication skills (both verbal and written) and the ability to present findings to a non-technical audiencePassion for learning, sharing knowledge, building collaborations, and getting things donePreferred qualifications, capabilities, and skillsParticipation in KDD/Kaggle competition, Hackathons or contribution to GitHubYou demonstrate hands-on experience ...

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. ...

seeking a skilled and motivated Computer Vision Engineer to join our team. In this role, you will bridge the gap between high-level machine learning research and high-performance production environments. You will be responsible for building robust SDKs, automating deployment pipelines, and ensuring our models run efficiently across … software development kits (SDKs) to expose computer vision capabilities to end-users and internal products. Model Deployment and Integration Port, convert, and deploy machine learning models across various hardware targets, including Qualcomm SoCs, Intel CPUs, and NVIDIA GPUs. Performance Optimization Use hardware-specific toolkits to optimize model throughput without ...

digital health technologies, and AI-driven clinical innovation. The successful candidate will contribute to cutting-edge research at the intersection of digital pathology, machine learning, and computational biomedical sciences. The role involves developing and applying advanced artificial intelligence methods to digital pathology data, including whole-slide imaging, computational image … research collaboration, particularly with clinical or biomedical partners Ability to contribute to research strategy and funding applications Required Expertise/Skills Expertise in machine learning and artificial intelligence methodologies Strong background in digital pathology, medical imaging, or computational image analysis Proficiency in programming languages such as Python ...

dashboards, alerts, and automated remediation so we catch regressions before users do. Respond to and learn from production incidents.### **Who we're looking for:*** Deep experience with GPU programming and performance work (CUDA, Triton, CUTLASS, or similar). Any other deep systems programming experience is a plus. … workloads.### **Qualifications:*** 3+ years of professional software engineering experience with meaningful work on ML inference or high-performance systems.* Familiarity with at least one deep learning framework (PyTorch, JAX, TensorFlow).* Understanding of GPU architectures (memory hierarchy, warp scheduling, tensor cores).* Understanding of common LLM architectures ...

discovering therapies to treat some of life’s most devastating diseases. We leverage single-cell multi-omics from patient tissue, functional assays, and machine learning to drive disease understanding, from cause to cure. We are scaling rapidly and building a team of exceptional individuals to push the boundaries … strategies grounded in generative models. You'll be joining a team with access to cutting-edge multiomic and interventional datasets, advanced computational infrastructure, and deep interdisciplinary expertise, and a culture that embraces modern ML tooling, including agentic workflows, to accelerate research iteration. The role exists to drive imaging data ...

model training. This isn't traditional DevOps. It isn't conventional MLOps. It's a rare opportunity to sit at the intersection of machine learning, distributed systems, cloud infrastructure and robotics. What you'll do: Design and own our large-scale AI training infrastructure. Scale distributed model training across … background, but titles matter less than experience. We're particularly interested in people with experience in: Large-scale distributed training. PyTorch and modern deep learning frameworks. Kubernetes, Slurm or GPU orchestration platforms. AWS and specialist GPU cloud providers. High-performance computing and distributed systems. Training optimisation, memory management ...

will advance research toward a safe, medically licensed agentic system for triadic care, deployed to doctors and health systems globally. Our team blends deep learning and reinforcement learning to tackle high-impact medical challenges, with a focus on safe, scalable AI for real-world health outcomes ...

whether papers, product releases, open‐source contributions, or other artifacts. 3+ years of software engineering experience, including familiarity with Python and at least one deep learning framework. Experience using the latest coding agents, and opinions about optimal workflow. Enthusiasm for experimental organizational design. AI‐pilled: adopting agents, keen … discipline. Contribution to a well‐cited work in AI for Science writ large (e.g., ML to predict protein structure, neural weather forecasting systems, reinforcement learning for materials discovery, or causal models for financial risk prediction). Hands‐on experience using AI agents to automate parts of the scientific workflow ...

seeking a skilled AI Engineer to design and deploy machine learning models and intelligent solutions for our clients. Responsibilities Designed and developed AI/ML algorithms Built and optimized predictive models Conducted data analysis for model accuracy Integrated AI solutions into enterprise software Applied NLP and computer vision techniques … Deployed AI models to production environments Implemented deep learning frameworks (TensorFlow, PyTorch) Worked with big data platforms (Hadoop, Spark) Collaborated with software developers for AI solutions Ensured scalability and performance of AI systems Documented model architecture and results Monitored deployed AI models for efficiency Conducted AI research ...

behaviour Optimisation of code running on GPUs and/or other accelerators (e.g. CUDA) Solid understanding of computer architecture fundamentals and how LLMs and Deep Learning models execute on that hardware (inference vs. training, matrix multiplication, KV-caching, etc.) Proficiency with profiling tools (NVIDIA Nsight, PyTorch Profiler … Pandas, NumPy) and scripting The following are also highly valued: Post-graduate degrees and research experience in relevant fields (please list your publications). Deep understanding of inference serving frameworks (e.g. vLLM) Background in statistical analysis Contributions to open source and/or research projects Benefits A collaborative ...