126 to 150 of 331 Deep Learning Jobs in England

Research Engineer: Graph Machine Learning 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 … 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 Machine Reasoning: Web-scale Knowledge Graph Exploration using … Reinforcement Learning Human experts can form and explore structured mental models in their heads to solve open-ended problems across different domains. Our research seeks to emulate this process through a novel combination of using reinforcement learning agents to perform exploration through a knowledge graph. Knowledge graphs allow More ❯

to capture comprehensive cellular signatures. Your work will enable precise predictions of drug effects, driving innovation in drug discovery. Key Responsibilities: • Model Development: Design deep learning models integrating diverse omics data to create robust cell embeddings for digital twin technology. • Multi-Omics Integration: Develop and refine foundation models … Publications in top ML conferences (e.g., NeurIPS, ICLR, ICML, CVPR). 2. Strong ML/Applied Math Background: Expertise in advanced ML techniques. 3. Deep Learning Experience: Building and scaling AI models for omics or high dimensional biological data. 4. Multi-Omics Integration : Experience developing foundation models across More ❯

Senior Software Engineer II, Machine Learning (ThousandEyes) Location: London, United Kingdom Who We Are Cisco ThousandEyes is a Digital Experience Assurance platform that empowers organizations to deliver flawless digital experiences across every network - even the ones they don't own. Powered by AI and an unmatched set of cloud … data, ThousandEyes enables IT teams to proactively detect, diagnose, and remediate issues - before they impact end-user experiences. About The Role As a Machine Learning Engineer for the Alerts team, you'll be at the intersection of cutting-edge AI/ML technologies and real-time data processing. You … AI/ML pipelines for real-time anomaly detection. You will be responsible for training and tuning the models and performing model evaluations using Deep Learning Machine Learning (AI/ML) Models, and Large Language Models, to detect anomalies across billions of events. You'll design and More ❯

analyze data, share highlights and more. Ready to join us? Your Role We're looking for an Applied Researcher to join our Applied Machine Learning team and deliver new experiences and valuable insights to our coaches, athletes and fans across Hudl. You'll drive game-changing initiatives that use … cutting-edge computer vision and deep learning at scale to shape the future of sports, from professional teams to local high schools. As an Applied Researcher, your key responsibilities will include: Delivering for customers at scale . You'll build, deploy, monitor and iterate on ML models and … you come to the office. Must-Haves Technical expertise . You have extensive experience in several of the following areas: computer vision (classical and deep learning), multi-view geometry, multi-object tracking, event detection and/or anomaly detection. A proven track record . You know how to More ❯

analyze data, share highlights and more. Ready to join us? Your Role We're looking for an Engineering Manager to join our Applied Machine Learning team and deliver new experiences and valuable insights to our coaches, athletes and fans across Hudl. You'll drive game-changing initiatives that use … cutting-edge computer vision and deep learning at scale to shape the future of sports, from professional teams to local high schools. Deliver for customers. You'll independently manage your multidisciplinary team of 5 to 10 Engineers and Data Scientists, ensuring quarterly and annual goals are met while … models and systems in production at scale. Strong technical proficiency. You have extensive experience in several of the following areas: machine vision (classical and deep learning), multi-view geometry, GPU accelerators, inference on edge devices, LLM's models, real-time systems, and signal processing. Communication skills. You have More ❯

analyze data, share highlights and more. Ready to join us? Your Role We're looking for an Engineering Manager to join our Applied Machine Learning team and deliver new experiences and valuable insights to our coaches, athletes and fans across Hudl. You'll drive game-changing initiatives that use … cutting-edge computer vision and deep learning at scale to shape the future of sports, from professional teams to local high schools. Deliver for customers. You'll independently manage your multidisciplinary team of 5 to 10 Engineers and Data Scientists, ensuring quarterly and annual goals are met while … models and systems in production at scale. Strong technical proficiency. You have extensive experience in several of the following areas: machine vision (classical and deep learning), multi-view geometry, GPU accelerators, inference on edge devices, LLM's models, real-time systems, and signal processing. Communication skills. You have More ❯

to capture comprehensive cellular signatures. Your work will enable precise predictions of drug effects, driving innovation in drug discovery. Key Responsibilities: • Model Development: Design deep learning models integrating diverse omics data to create robust cell embeddings for digital twin technology. • Multi-Omics Integration: Develop and refine foundation models … Publications in top ML conferences (e.g., NeurIPS, ICLR, ICML, CVPR). 2. Strong ML/Applied Math Background: Expertise in advanced ML techniques. 3. Deep Learning Experience: Building and scaling AI models for omics or high dimensional biological data. 4. Multi-Omics Integration : Experience developing foundation models across More ❯

to capture comprehensive cellular signatures. Your work will enable precise predictions of drug effects, driving innovation in drug discovery. Key Responsibilities: • Model Development: Design deep learning models integrating diverse omics data to create robust cell embeddings for digital twin technology. • Multi-Omics Integration: Develop and refine foundation models … Publications in top ML conferences (e.g., NeurIPS, ICLR, ICML, CVPR). 2. Strong ML/Applied Math Background: Expertise in advanced ML techniques. 3. Deep Learning Experience: Building and scaling AI models for omics or high dimensional biological data. 4. Multi-Omics Integration : Experience developing foundation models across More ❯

data, share highlights and more. Ready to join us? Your Role We're looking for a Senior Applied Researcher to join our Applied Machine Learning team and deliver new experiences and valuable insights to our coaches, athletes and fans across Hudl. You'll drive game-changing initiatives that use … cutting-edge computer vision and deep learning at scale to shape the future of sports, from professional teams to local high schools. As a Senior Applied Researcher, your key responsibilities will include: Delivering for customers at scale . You'll build, deploy, monitor and iterate on ML models … products meet the highest standards. Must-Haves Technical expertise . You have extensive experience in several of the following areas: computer vision (classical and deep learning), multi-view geometry, multi-object tracking, event detection and/or anomaly detection. System experience . You've built, maintained and monitored More ❯

business is running efficiently and effectively. The RBS Customer Experience team works on an array of technologies ranging from automation that leverages Machine/Deep Learning to scale execution of highly complex tasks to scaled out platform software. We're in beginning stages of building a horizontal internal … responsibilities include, but are not limited to unblocking the Dev team for issues that may arise; ensuring teams are tracking to committed timelines; defining deep product feature requirements; developing a road map; aligning with stakeholders; collaborating with partner teams; and ensuring a successful, on-time launch. Work/Life … experience levels and tenures, and we're building an environment that celebrates knowledge sharing and mentorship. Also, we provide trainings to employees through online learning platforms such as O'Reilly and also encourage them to take up AWS/ML certifications. Key Job Responsibilities Experience of managing complex business More ❯

Description: Hidra is looking for a Machine Learning Engineer to join us on our mission to build the most accurate and robust 3D reconstruction and scene understanding system for the built environment. Candidates should have proven experience in computer vision and related topics such as geometry processing, computer graphics … problems, finding solutions to them and turning the solutions into production services that are at the core of an ambitious startup. As a Machine Learning Engineer you will need to be versatile with the computer vision techniques you use and enjoy developing new skills. Your time will be spent … our image and 3D datasets, so familiarity with common 3D vision data structures and formats is essential. Past experience working on 3D reconstruction and deep learning-based scene understanding problems would be a big plus. Now is an exciting time to join us in a disruptive, technology-focused More ❯

Research and develop cutting edge Machine Learning & Natural Language Processing methodologies to find more untreated patients London Technical Pangaea Data (Pangaea) is a South San Francisco and London based business founded by Dr Vibhor Gupta and Prof Yike Guo (Director Data Science Institute at Imperial College London; Provost, Hong … cutting-edge AI algorithms for Pangaea's core AI platform, PALLUX. This role requires a strong foundation in software engineering, and expertise in Machine Learning (ML), including Natural Language Processing (NLP). This role is an excellent opportunity for an individual who is passionate about innovation and eager to … be part of a fast-paced environment that encourages continuous learning and growth. Key Responsibilities Technical Responsibilities: Collaborate with internal clinicians and project stakeholders to understand the clinical and healthcare challenges that Pangaea Data can address through its PALLUX platform and solutions Maintain and implement the product roadmap according More ❯

support implementation projects. These professional services engagements will focus on customer solutions such as Data and Analytics, Artificial Intelligence (AI) and GenerativeAI (GenAI), Machine Learning (ML), HPC and more. You will join as part of the AWS Professional Services (ProServe) Associate to Consultant (A2C), which focuses on the accelerate … prevent them from leveraging their data to develop business insights. The ideal candidate will have extensive experience with design, development and operations that leverages deep knowledge in the use of modern data services like DynamoDB, Amazon Kinesis, Apache Kafka, Apache Spark, Amazon Sagemaker, Amazon RDS, technologies and other industry … thirteen employee-led affinity groups, reaching 85,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon's culture of inclusion is reinforced within our More ❯

and data pipelines Conducting experiments and evaluating model performance to ensure high-quality results Staying current with the latest developments in AI and machine learning technologies Influencing the technical direction of AI within G-Research Working with the latest Large Language Models (LLMs), utilising both commercial APIs and on … A degree in Computer Science, Artificial Intelligence, or a related field, or equivalent professional experience Strong programming skills in Python, with experience in machine learning frameworks such as PyTorch, TensorFlow or JAX Hands-on experience fine-tuning LLMs and optimising hyperparameters for improved performance Skilled in building LLM-powered … applications for real-time decision-making and automation across various domains Familiarity with RAG and agentic workflows Solid understanding of machine learning algorithms, deep learning architectures, and their applications Strong problem-solving skills and the ability to translate complex business requirements into technical solutions Desirable skills: Experience More ❯

This is why we started Encord. We are a talented and ambitious team of 75+, working at the cutting edge of computer vision and deep learning, backed by top investors, including CRV and Y Combinator, leading industry executives like Luc Vincent, former VP of AI at Meta, and … the best sales, product or customer success specialist out there and you're looking for a company that can offer you that growth and learning opportunity to enable you to become a future leader. You've consistently performed in the top percentile of whatever environment you've been in … well in a different sector like banking/consulting/something else similarly intense & difficult, but now want to go on this journey of learning to sell & building a business. What We Offer Competitive salary, commission and equity in a hyper growth business. Strong in-person culture: most of More ❯

Cure Talent is excited to partner with TympaHealth, a rapidly growing medical technology company that is transforming hearing healthcare. We are seeking a Machine Learning Engineer/AI Engineer to join their talented team, working on cutting-edge machine learning models for image and audio analysis. The successful … Machine Learning Engineer/AI Engineer will play a crucial role in developing, deploying, and optimising AI-driven insights to enhance business processes and support data-driven decision-making. This is a hands-on position where you'll collaborate closely with cross-functional teams to integrate machine learning models into real-world applications. Key Responsibilities: Develop AI models for classification, segmentation, and processing of image and audio data. Optimise machine learning models to ensure peak performance. Work closely with software development teams to integrate AI models into applications. Collect, clean, and manipulate data from multiple sources More ❯

Cure Talent is excited to partner with TympaHealth, a rapidly growing medical technology company that is transforming hearing healthcare. We are seeking a Machine Learning Engineer/AI Engineer to join their talented team, working on cutting-edge machine learning models for image and audio analysis. The successful … Machine Learning Engineer/AI Engineer will play a crucial role in developing, deploying, and optimising AI-driven insights to enhance business processes and support data-driven decision-making. This is a hands-on position where you'll collaborate closely with cross-functional teams to integrate machine learning models into real-world applications. Key Responsibilities: Develop AI models for classification, segmentation, and processing of image and audio data. Optimise machine learning models to ensure peak performance. Work closely with software development teams to integrate AI models into applications. Collect, clean, and manipulate data from multiple sources More ❯

This is why we started Encord. We are a talented and ambitious team of 75+, working at the cutting edge of computer vision and deep learning, backed by top investors, including CRV and Y Combinator, leading industry executives like Luc Vincent, former VP of AI at Meta, and … months and you'll have all the opportunities for growth as you can handle. 25 days annual leave a year + public holidays. Annual learning and development budget. Paid trips to visit prospects, attend conferences, host events across UK, Europe and US. Company lunches twice a week. Monthly socials … many different industry verticals such as healthcare, surveillance, retail, agriculture and many more. Our work is at the cutting edge of computer vision and deep learning, which also includes working on solving unsolved problems within those fields. More ❯

benefit options including discounts at hundreds of retailers, cycle to work scheme, discounted gym memberships and healthcare schemes Employee assistance and well-being programmes Learning and development tailored to your role - this could include industry recognised qualifications, coaching and mentoring An inclusive and diverse environment with opportunities to join … us with the job reference in the subject. Introduction BBC R&D's AI Research Applied Area is focused on the use of Machine Learning and Artificial Intelligence across the BBC. AI Research works closely with other BBC R&D Applied Research Areas, BBC Product and Technology Groups and … senior business stakeholders across the BBC to accelerate Machine Learning based innovation. Reporting to the Head of AI Research, the Senior Principal Data Scientist will lead a team of machine learning researchers focusing on natural language processing. As a Senior Principal Data Scientist, you will play a key More ❯

ll analyze massive data sets and distill complex information into concise and valuable offerings for investors. Your responsibilities will involve the development of machine learning applications, exploring language models, and other data products. Additionally, you will create original investment research content that drives better outcomes for our clients. If … you possess exceptional interpersonal, communication, and machine learning skills, coupled with a strong quantitative mindset, this is the ideal role for you. Join us in our London office and be part of revolutionizing investment research in the financial industry. Job Responsibilities: Conduct cutting-edge research to develop innovative AI … the adoption and implementation of AI solutions across Morningstar's business units. Requirements: Minimum 3 years of hands-on experience implementing AI/machine learning solutions, including RAG , NLP , AI Agents , and transformer models, in commercial applications. Advanced degree (Master's/PhD preferred) in a quantitative, AI or More ❯

projects and factor complex efforts into independent tasks that can be performed by you and others. BASIC QUALIFICATIONS 3+ years of scientists or machine learning engineers management experience Knowledge of ML, NLP, Information Retrieval and Analytics Experience directly managing scientists or machine learning engineers Experience programming in Java … C++, Python or related language Experience with prompting techniques for LLMs PREFERRED QUALIFICATIONS Experience building machine learning models or developing algorithms for business application Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers PhD More ❯

a Data Scientist, this role plays a crucial role in delivering the generative artificial intelligence (GenAI) solutions for our clients. This position requires a deep understanding of machine learning, natural language processing, and generative models, combined with problem-solving skills and a passion for innovation. Key job responsibilities … be curious. Our employee-led affinity groups foster a culture of inclusion that empower 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 … an accommodation, please let us know and we will connect you to our accommodation team. - Master's or Ph.D. degree in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field. - 4+ years of experience in developing and deploying machine learning models, with a strong focus on More ❯

insight that code serves as a universal, learnable language for agents to interact with their environment, we are developing a protocol that enables collective learning through a shared memory layer where mutually distrusting agents can exchange and validate their experiences. This protocol transforms individual code actions, trajectories and experiences … while reducing costs. This approach, combined with carefully designed token incentives and memory curation mechanisms, creates a self-reinforcing ecosystem where each agent's learning contributes to and benefits from the network's growing capability. Our approach goes beyond existing frameworks, creating the connective tissue for the emerging agent … integrations, scalability, and security. Recruiting, hiring, mentoring, and managing a world-class AI development team. Cultivating a culture of ownership, innovation, collaboration, and continuous learning essential for the fast-moving AI agent ecosystem. Engaging with developers across frameworks and tech stacks to understand their needs and incorporate feedback into More ❯

highly motivated, collaborative, and fun-loving team with a strong entrepreneurial spirit and bias for action. We are seeking an experienced and motivated Machine Learning Applied Scientist who loves to innovate at the intersection of customer experience, deep learning, and high-scale machine-learning systems. Amazon … experiment and innovate, we grow at an unprecedented rate with a seemingly endless range of new opportunities. We are looking for a talented Machine Learning Applied Scientist for our Amazon Ads Response Prediction team to grow the business. We are providing advanced real-time machine learning services to … connect shoppers with right ads on all platforms and surfaces worldwide. Through the deep understanding of both shoppers and products, we help shoppers discover new products they love, be the most efficient way for advertisers to meet their customers, and helps Amazon continuously innovate on behalf of all customers. More ❯

both internal and external data sources. Build predictive and prescriptive models through data manipulation and cleaning. Design, manage, and deploy analytical solutions leveraging Machine Learning (ML), Deep Learning (DL), and Large Language Models (LLMs) into production systems following the technology SDLC process. Implement features throughout the ML … data scientist, with a focus on ML modelling, Ranking, Recommendations, or Personalization systems. Proven track record of designing and developing scalable and reliable machine learning systems. Strong expertise in ML/DL/LLM algorithms, model architectures, and training techniques. Proficiency in programming languages such as Python, SQL, Spark More ❯