276 to 300 of 331 Deep Learning Jobs in England

Amazon Development Centre (London) Limited The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Applied Scientist with a strong deep learning background, to build industry-leading Generative Artificial Intelligence (GenAI) technology with Large Language Models (LLMs) and multimodal systems. Key job responsibilities As … of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing - Experience in building machine learning models for business application PREFERRED QUALIFICATIONS - Experience using Unix/Linux - Experience in professional software development Amazon is an equal opportunities employer. We believe More ❯

customer analytics team as a senior data scientist. You will be building analytics models using a range of data science approaches, such as machine learning and statistical techniques, along with wider analytical approaches such as time series and analytics with unstructured data (e.g., NLP). They recently used gradient … boosting machine learning to predict radio listening behaviour for a client, taking into account advertising spend. The Successful Candidate Is Likely To Have: Commercial skills: Ability to talk confidently to clients, discussing and advising on business objectives. Proven track record of how results can best be deployed within businesses. … to work autonomously when required, demonstrating the ability to prioritise and organise. Technical skills: Excellent working knowledge of advanced analytical techniques, including regression, segmentation, deep learning, natural language processing, text analytics, and time-series modelling. Experience of a wide variety of technologies including R or Python, SQL. Understanding More ❯

Tableau, Looker,… Background in Data Governance and Data Catalog solutions: Axon, Informatica EDC, Colibra, Purview, etc. Previous experience in Artificial Intelligence techniques: ML/Deep Learning, Computer Vision, NLP, etc General information: Start Date: ASAP Length of Contract: 1 year (minimum) Work Location: Madrid Remote working. (It may More ❯

Tableau, Looker,… Background in Data Governance and Data Catalog solutions: Axon, Informatica EDC, Colibra, Purview, etc. Previous experience in Artificial Intelligence techniques: ML/Deep Learning, Computer Vision, NLP, etc General information: Start Date: ASAP Length of Contract: 1 year (minimum) Work Location: Madrid Remote working. (It may More ❯

environment. A background leading Data Science teams in an eCommerce or conversion rate optimisation-focused environment is a plus. Hands-on experience with Machine & Deep Learning, AI and Neural Networks tools including Python, Spark, Tensor Flow. Competencies across core programming languages including Python, Java, C/C++, R. More ❯

Visual Generation Atman Labs, London About Atman Labs At Atman Labs we are building software to emulate proactive human expertise. Emulating human experts with deep knowledge and proactive assistance has largely been impossible to do via standalone Artificial Intelligence techniques. As an applied research and commercialization company we are … shopping assistance to personal teachers to healthcare concierges - and with this commercial focus advance our unique research that lies at the intersection of Reinforcement Learning rewards, Large Scale Knowledge Representation, and Predictive Models inspired by biological priors. The Next Frontier of Visual Foundation Models: Unlocking Human Engagement and New … be more performant and fine-tuned to specific use cases. You ideally have technical experience or intuition to work with generative models, have a deep understanding of the current state of the art across different types of GANs, Diffusion Models, NeRFs, and other Visual Foundation Models, and are excited More ❯

Experience: BS/BEng in Comp Sci, Biomedical or another relevant discipline Strong experience with software or algorithm development. Strong Python skills Experience with deep learning frameworks (TensorFlow/PyTorch.) Familiarity with version control (e.g., Git). Experience with Docker or other container languages A passion for applying More ❯

Experience: BS/BEng in Comp Sci, Biomedical or another relevant discipline Strong experience with software or algorithm development. Strong Python skills Experience with deep learning frameworks (TensorFlow/PyTorch.) Familiarity with version control (e.g., Git). Experience with Docker or other container languages A passion for applying More ❯

portfolio, which solve common business problems and improve developer productivity through research and innovation. We build state-of-the-art services using the latest deep learning techniques and highly scalable distributed systems engineering. System development engineers in our team will be responsible for understanding the model quality requirements … be curious. Our employee-led affinity groups foster a culture of inclusion that empowers us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career More ❯

London (Flexible) Salary : competitive Position type : full-time Start date: immediate Candidates welcomed: all genders, nationalities, backgrounds and orientations Rahko is a quantum machine learning company focusing on quantum and quantum-inspired algorithms for drug discovery and development. We are a small and fast-growing startup with huge ambitions … several world-leading scientists. Read more about Rahko's work and team here . Rahko brings together classical computational methods, more recent machine/deep learning methods and quantum computing to improve the speed and accuracy of quantum chemistry simulations for drug discovery and development. As a valued … member of our team, you will work closely with our expert quantum machine learning and computational chemistry scientists to develop state-of-the-art in silico methods for drug discovery and development. You will have a PhD (or equivalent industry experience) in medicinal chemistry, computational chemistry, computational biology, machine More ❯

London (Flexible) Salary : competitive Position type : full-time Start date: immediate Candidates welcomed: all genders, nationalities, backgrounds and orientations Rahko is a quantum machine learning company focusing on quantum and quantum-inspired algorithms for drug discovery and development. We are a small and fast-growing startup with huge ambitions … several world-leading scientists. Read more about Rahko's work and team here . Rahko brings together classical computational methods, more recent machine/deep learning methods and quantum computing to improve the speed and accuracy of quantum chemistry simulations for drug discovery and development. As a valued … member of our team, you will work closely with our expert quantum machine learning and computational chemistry scientists to develop state-of-the-art in silico methods for drug discovery and development. You will have a PhD (or equivalent industry experience) in medicinal chemistry, computational chemistry, computational biology, machine More ❯

pushing the boundaries of scale, performance and product deployment. The Pre-Training team at Microsoft AI tackles some of the most challenging problems in deep learning at scale. As a team, we will deliver one of the best foundation models in the world, forming the foundation of many … written and verbal communication skills with the ability to work closely with cross-functional teams, including product managers, designers, and other engineers. Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in AI. Proven ability to collaborate and contribute to More ❯

partnered with an ambitious Drug Discovery business based in Cambridge who are now looking for an experienced and talented Senior AI Scientist. Experience Required: Deep Learning experience, preferably with LLMs & NLP. Strong knowledge and experience with Python/Pytorch, Tensorflow and other data science libraries. Experienced with cloud More ❯

partnered with an ambitious Drug Discovery business based in Cambridge who are now looking for an experienced and talented Senior AI Scientist. Experience Required: Deep Learning experience, preferably with LLMs & NLP. Strong knowledge and experience with Python/Pytorch, Tensorflow and other data science libraries. Experienced with cloud More ❯

solving complex technical problems Nice to Have: Familiarity with real-time or embedded systems Exposure to game engines (e.g. Unity or Unreal) Experience with deep learning frameworks (e.g. TensorFlow, PyTorch) This is a rare chance to help shape a pioneering product at the intersection of sport, technology and More ❯

solving complex technical problems Nice to Have: Familiarity with real-time or embedded systems Exposure to game engines (e.g. Unity or Unreal) Experience with deep learning frameworks (e.g. TensorFlow, PyTorch) This is a rare chance to help shape a pioneering product at the intersection of sport, technology and More ❯

security. We've spun out from a leading UK university, and our mission is to secure the future of AI against cyber attacks targeting Deep Learning, GenAI, and LLMs. This is an unsolved challenge globally, and we are among the world's first to offer a solution to More ❯

architectures for protein sequence, structure and fitness prediction (transformers, diffusion, hybrid approaches). Close the loop between model output and experimental data—design active-learning or RL-based strategies that get smarter with every assay. Scale the pipeline: own data engineering, model training & evaluation on multi-GPU/TPU … mentor junior engineers, shape best practices, and help us build a genuinely interdisciplinary, mission-driven team. About you PhD (or equivalent experience) in Machine Learning, Computational Biology, Bioengineering, or related field. Hands-on mastery of deep-learning frameworks and modern generative modelling. Proven track record applying AI … you turn ambiguity into roadmaps and ship. Plus, if familiar with: UniRef, UniProt, MGnify — for pretraining corpora | PDB, AlphaFold DB, FoldSeek — for structure-grounded learning | MSA generation tools — HMMER, HHblits, MMseqs2 | Next-generation Sequencing (NGS) data What we offer High ownership & impact: your models go from idea to bench More ❯

architectures for protein sequence, structure and fitness prediction (transformers, diffusion, hybrid approaches). Close the loop between model output and experimental data—design active-learning or RL-based strategies that get smarter with every assay. Scale the pipeline: own data engineering, model training & evaluation on multi-GPU/TPU … mentor junior engineers, shape best practices, and help us build a genuinely interdisciplinary, mission-driven team. About you PhD (or equivalent experience) in Machine Learning, Computational Biology, Bioengineering, or related field. Hands-on mastery of deep-learning frameworks and modern generative modelling. Proven track record applying AI … you turn ambiguity into roadmaps and ship. Plus, if familiar with: UniRef, UniProt, MGnify — for pretraining corpora | PDB, AlphaFold DB, FoldSeek — for structure-grounded learning | MSA generation tools — HMMER, HHblits, MMseqs2 | Next-generation Sequencing (NGS) data What we offer High ownership & impact: your models go from idea to bench More ❯

initiatives deliver measurable impact. What you'll need Experience in AI & ML: At least 5 years of proven track record in deploying and optimizing deep learning models in production, preferably Diffusion models and/or LLMs. Leadership: At least 2 years in a leadership role guiding teams and … computing frameworks. Strong communication & collaboration: Ability to convey complex AI concepts to technical and non-technical stakeholders, driving alignment and adoption across teams. Continuous learning & adaptability: Stay up-to-date with the latest advancements in AI, ensuring Kittl remains at the forefront of innovation in a rapidly evolving field. … Work up to 50 days (10 weeks) fully remote per year from anywhere in the world, as long as you maintain our core hours. Learning & development: Our L&D budget supports your professional growth. Vacation: Up to 30 vacation days per year. At Kittl, we embrace diversity and value More ❯

models, pushing the boundaries of scale, performance and product deployment. The Multimodal team at Microsoft AI tackles some of the most challenging problems in deep learning at scale. As a team, we will deliver one of the best foundation models in the world, forming the foundation of many … architectures, conduct experiments, champion measurement and evaluation, innovate datasets and data pipelines. Improve training and deployment efficiency, paying careful attention to detail, persevering, and learning from everyone's attempts whether successful or not. Follow a rigorous data-driven approach grounded in meticulous ablation studies and scientific analysis. Innovate and More ❯

product development . Proven track record in building and deploying LLMs, RAG, and GenAI-powered solutions . Strong hands-on experience in NLP, ML, deep learning, and AI architecture . Leadership in managing AI researchers, ML engineers, and data science teams . Experience driving AI adoption and commercialization More ❯

product development . Proven track record in building and deploying LLMs, RAG, and GenAI-powered solutions . Strong hands-on experience in NLP, ML, deep learning, and AI architecture . Leadership in managing AI researchers, ML engineers, and data science teams . Experience driving AI adoption and commercialization More ❯

AI, robotics, and engineering teams towards delivering high-impact autonomous robot systems. Solid background in computer science fundamentals, including data structures, algorithms, system design, deep learning, and probability theory, applied to real-world robotics challenges. Comprehensive knowledge of Robotics Navigation, Perception, and Reasoning, with the ability to strategically More ❯

AI, robotics, and engineering teams towards delivering high-impact autonomous robot systems. Solid background in computer science fundamentals, including data structures, algorithms, system design, deep learning, and probability theory, applied to real-world robotics challenges. Comprehensive knowledge of Robotics Navigation, Perception, and Reasoning, with the ability to strategically More ❯