226 to 250 of 365 Deep Learning Jobs in the UK

and technology sectors. The Opportunity: We are seeking a highly skilled Audio AI & DSP Engineer to drive innovation in audio signal processing and machine learning applications. This is an opportunity to work at the forefront of AI-generated sound, audio watermarking, and forensic analysis in a fast-paced, high … impact environment. The ideal candidate will have a deep understanding of digital signal processing, machine learning, and generative AI models for audio applications. Key Responsibilities: Develop and optimize advanced algorithms for audio signal processing, including signal injection, enhancement, synthesis, restoration, and error correction. Design and train generative AI … Master's or Ph.D. in Computer Science, Electrical Engineering, Music Technology, or a related field. Strong background in digital signal processing (DSP) and machine learning applied to audio. Proficiency in programming languages such as Python, C++, and MATLAB. Hands-on experience with deep learning frameworks (TensorFlow, PyTorch More ❯

of use cases. You will have the support to grow your expertise in industry and technology areas of depth. Every day you will be learning something new from your customers, your peers and your own experiments. Principal Solutions Architects work on the more complex customer challenges and opportunities. They … trust and show them the art of the possible, educating them around the capabilities of AWS. Partnering with internal teams and experts, leveraging a deep knowledge of our tools and products, you'll craft highly-scalable, flexible, and resilient cloud architectures that address our customers' business problems. As part … the AWS Startup SA team. BASIC QUALIFICATIONS - Experience with building, validating and deploying GenAI models and applications on cloud infrastructure. - Sound knowledge of machine learning fundamentals, with working knowledge of frameworks such as Pytorch, TensorFlow, JAX or MXNet. - Knowledge of MLOps tools and workflows for model development, validation, and More ❯

of use cases. You will have the support to grow your expertise in industry and technology areas of depth. Every day you will be learning something new from your customers, your peers and your own experiments. Principal Solutions Architects work on the more complex customer challenges and opportunities. They … online videos or conferences). BASIC QUALIFICATIONS Experience with building, validating and deploying GenAI models and applications on cloud infrastructure. Sound knowledge of machine learning fundamentals, with working knowledge of frameworks such as Pytorch, TensorFlow, JAX or MXNet. Knowledge of MLOps tools and workflows for model development, validation, and … high-speed networking. Experience scaling model training and inference using technologies like Slurm, ParallelCluster, Amazon SageMaker. Experience in developing and deploying large scale machine learning or deep learning models and/or systems into production, including batch and real-time data processing. Amazon is an equal opportunities More ❯

Job ID: AWS EMEA SARL (UK Branch) Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting edge Generative AI algorithms to solve real world problems with significant impact? The AWS Industries Team helps AWS customers implement Generative AI … world challenges. Interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions, deliver briefing and deep dive sessions to customers, and guide customers on adoption patterns and paths to production. Create and deliver best practice recommendations, tutorials, blog posts, publications … 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 and More ❯

options in Barcelona, Berlin, or London, designed to maximize team interaction. Remote work options are also considered. Basic Qualifications PhD in Operations Research, Machine Learning, Statistics, Applied Mathematics, Computer Science, or related fields, or equivalent experience. Excellent written and verbal communication skills. Experience programming in Java, Python, C++, or … in a fast-paced applied research environment. Ability to handle ambiguity. Top-tier publications in relevant fields. Key Responsibilities Solve complex optimization and machine learning problems using scalable algorithms. Design and develop prototypes addressing real-world logistics challenges. Lead analyses to support decision-making and communicate results to leadership. … on optimizing Amazon's logistics through advanced mathematical algorithms and data-driven techniques. We work closely with academic experts, employ cutting-edge methods like deep learning and reinforcement learning, and prioritize correct modeling and production-ready prototypes. Our goal is to support strategic investments and solve real More ❯

researchers with experience in one or more of the following areas: autonomous agents API orchestration Planning large multimodal models (especially vision-language models) reinforcement learning (RL) sequential decision making BASIC QUALIFICATIONS PhD, or Master's degree and 6+ years of applied research experience 3+ years of building machine learning models for business application experience Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning PREFERRED QUALIFICATIONS Experience with genAI and agents Experience in shipping AI products Our inclusive culture empowers Amazonians to deliver the best results for More ❯

and invalid traffic within programmatic ad sources, and weed them out to ensure a high quality advertising marketplace. We do this by building machine learning and optimization algorithms that operate at scale, and leverage nuanced features about user, context, and creative engagement to determine the validity of traffic. The … challenge is to stay one step ahead by investing in deep analytics and developing new algorithms that address emergent attack vectors in a structured and scalable fashion. We are committed to building a long-term traffic quality solution that encompasses all Amazon advertising channels and provides state-of-the … and saves them hundreds of millions of dollars of wasted spend. We are looking for talented applied scientists who enjoy working on creative machine learning algorithms and thrive in a fast-paced, fun environment. An Applied Scientist is responsible for solving inherently hard problems in advertising fraud detection using More ❯

AI systems to enhance product offerings and customer interactions. Conduct research and experimentation to improve AI algorithms and models. Train, evaluate, and deploy machine learning models into production environments. Collaborate with cross-functional teams to understand business requirements and deliver AI solutions that align with company values and missions. … including leaders, to share ideas, discuss problems, and drive continuous improvement. Qualifications and qualities which are preferred but not essential: Strong understanding of machine learning algorithms, deep learning frameworks, and AI technologies. Analytical and problem-solving skills, with the ability to challenge ideas and processes. Positive attitude More ❯

Scientist Salary: £50,000 - £57,000 Location: Birmingham - Hybrid working 1-2 days a month on site About You: Technical Skills: Expertise in machine learning (supervised, unsupervised, reinforcement learning). Strong proficiency in Databricks, Azure ML, Azure Data Factory, and SQL. Hands-on experience in Python, R, and … experience with deep learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. Expert-level experience in Power BI for advanced visualisations, ML model interpretation, and KPI tracking. Deep knowledge of feature engineering, model deployment, and MLOps best practices. Experience with big data processing (Spark, Hadoop) and cloud More ❯

Scientist Salary: £50,000 - £57,000 Location: Birmingham - Hybrid working 1-2 days a month on site About You: Technical Skills: Expertise in machine learning (supervised, unsupervised, reinforcement learning). Strong proficiency in Databricks, Azure ML, Azure Data Factory, and SQL. Hands-on experience in Python, R, and … experience with deep learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. Expert-level experience in Power BI for advanced visualisations, ML model interpretation, and KPI tracking. Deep knowledge of feature engineering, model deployment, and MLOps best practices. Experience with big data processing (Spark, Hadoop) and cloud More ❯

AI are key to our mission, spanning some of the most pressing research challenges of our generation across such areas as artificial intelligence, machine learning, computational statistics, and applied mathematics, particularly including areas such as Deep Learning, generative models, reinforcement learning, computer perception, natural language processing … Responsibilities Collaborate on research projects within a globally based team to advance the science and technology of intelligent machines. Collaborate on research that enables learning the semantics of data (images, video, text, audio, speech and other modalities). Work towards long-term ambitious research goals, while identifying intermediate milestones. … driven models of human behavior. Minimum Qualifications Currently has or is in the process of obtaining a PhD degree in the field of machine learning, AI, computer science, applied mathematics or related technical fields. Degree must be completed prior to joining Meta. Experience in theoretical and empirical research and More ❯

Requirements Strong academic background in a relevant field (Statistics, Computer Science, etc.) Years of commercial experience working on and deploying recommendation engines Excellent Machine Learning and Deep Learning skills Experience of working and deploying at scale Knowledge Graph and entity linking experience General RecSys experience If this More ❯

Requirements Strong academic background in a relevant field (Statistics, Computer Science, etc.) Years of commercial experience working on and deploying recommendation engines Excellent Machine Learning and Deep Learning skills Experience of working and deploying at scale Knowledge Graph and entity linking experience General RecSys experience If this More ❯

revenue-generating, and have multiple years of runway. Being part of our team means solving interesting problems at the intersection of user experience, machine learning and infrastructure. It also means committing to excellence, learning, and delivering great products to our customers in a high-velocity startup. The role … We are hiring a Machine Learning engineer. Take an existing open-source Pytorch model, fine-tune, productionize them in C++ runtime, and optimize for latency and throughput. Take an open-source model and fine-tune them on our in-house data set as needed. Design thoughtful experiments in evaluating … cases, and convert those ideas to working code. Requirements You should be a good software engineer who enjoys writing production-grade software. Strong machine learning fundamentals (linear algebra, probability and statistics, supervised and self-supervised learning). Keeping up with the latest in deep learning research More ❯

revenue-generating, and have multiple years of runway. Being part of our team means solving interesting problems at the intersection of user experience, machine learning, and infrastructure. It also means committing to excellence, learning, and delivering great products to our customers in a high-velocity startup. The role … We are hiring a Machine Learning engineer. Take an existing open-source Pytorch model, fine-tune, productionize them in C++ runtime, and optimize for latency and throughput. Take an open-source model and fine-tune them on our in-house data set as needed. Design thoughtful experiments in evaluating … cases, and convert those ideas to working code. Requirements You should be a good software engineer who enjoys writing production-grade software. Strong machine learning fundamentals (linear algebra, probability and statistics, supervised and self-supervised learning). Keeping up with the latest in deep learning research More ❯

Job ID: AWS EMEA SARL (UK Branch) - F93 Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting edge Generative AI algorithms to solve real world problems with significant impact? The AWS Industries Team at AWS helps AWS customers … world challenges. Interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths to production. Create and deliver best practice recommendations, tutorials, blog posts, publications … 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 and More ❯

help improve our ability to plan and execute package movements. As an Applied Scientist in Amazon Shipping, you will work on multiple challenging machine learning problems spread across a wide spectrum of business problems. You will build ML models to help our transportation cost auditing platforms effectively audit off … require you to demonstrate Think Big and Invent and Simplify, by refining and translating Transportation domain-related business problems into one or more Machine Learning problems. You will use techniques from a wide array of machine learning paradigms, such as supervised, unsupervised, semi-supervised, and reinforcement learning. Your … model choices will include, but not be limited to, linear/logistic models, tree based models, deep learning models, ensemble models, and Q-learning models. You will use techniques such as LIME and SHAP to make your models interpretable for your customers. You will employ a family More ❯

cutting-edge tools accessible and enabling users to bring their boldest ideas to life with speed and precision. Role Overview As our Senior Machine Learning Researcher, you will play a key role in advancing our AI capabilities. You will keep pace with cutting-edge developments in the AI and … machine learning space, evaluating the latest research papers to identify what can be integrated into our product. Additionally, you will develop proprietary models and improved techniques as proof-of-concepts, pushing the boundaries of what's possible in our product. This role demands an advanced knowledge of deep learning, latent diffusion, and the use of conditioning models, with a focus on practical application in the context of our product. Key Responsibilities Staying updated with recent advancements in machine learning and AI research, focusing on innovations relevant to image generation, rendering, and computer vision. Evaluating and More ❯

scalability and efficiency • LLM Customization & Fine-Tuning: Adapt LLMs for new languages, domains, and vision applications through continued pre-training, fine-tuning, and Reinforcement Learning with Human Feedback (RLHF) • Model Optimization on AWS Silicon: Optimize AI models for deployment on AWS Inferentia and Trainium, leveraging the AWS Neuron SDK … 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 … in the workplace and at home, there's nothing we can't achieve in the cloud. • 5+ years of professional software development and machine learning experience • Proficiency in at least one programming language • Experience mentoring engineers, leading technical initiatives, or managing an engineering team • Hands-on experience with deep More ❯

data-driven solutions that power seamless commerce for businesses worldwide. Our Risk Engine is at the core of this mission, utilising cutting-edge machine learning and AI to drive fraud prevention, credit risk management, and business scalability. We are seeking a visionary VP of Data Science to lead our … product, stays ahead of market trends, and delivers measurable results. This role combines strategic vision with hands-on expertise, driving advanced statistical modeling, machine learning solutions, and actionable insights to enhance growth, manage risk, and deliver outstanding business impact. Location We are an office-led, remote-friendly company with … comprehensive five-year roadmap aligned with business growth goals. Spearhead the development of cutting-edge credit risk and fraud prevention models powered by machine learning and AI models, driving both scalability and operational excellence. Deliver actionable insights and strategic recommendations to C-level executives, stakeholders, and investors to inform More ❯

Full Time DESCRIPTION The Artificial General Intelligence team (AGI) has an exciting position for a Senior Applied Scientist with a strong background in Machine Learning and Large Language Models to play a critical role in driving the deployment of state-of-the-art conversational systems. As part of this … and guide junior scientists and contribute to the overall growth and development of the team. BASIC QUALIFICATIONS PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field. Experience with neural deep learning methods and machine learning. Experience in building machine … learning models for business applications. Experience in applied research. Experience programming in Java, C++, Python or related languages. Experience in patents or publications at top-tier peer-reviewed conferences or journals. PREFERRED QUALIFICATIONS Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. More ❯

translate into business value. We embrace a fast-paced, entrepreneurial mindset, enabling us to iterate rapidly and refine our AI strategies based on continuous learning and real-world feedback. Key Responsibilities AI Research and Model Development Conducting research in AI, using a full range of machine learning and … optimising AI that enhances automation and decision-making. Ensuring AI models are scalable and efficient for real-world enterprise deployment. Experimenting with different machine learning and GenAI techniques, including prompt engineering, RAG (Retrieval Augmented Generation), fine-tuning of LLMs, RLHF (reinforcement learning with human feedback), and adversarial techniques. … friendly manner. Leading AI experimentation initiatives and contributing to internal strategy discussions. Engaging with customers to understand AI needs and create practical solutions. Continuous learning and innovation. Staying up-to-date with AI and ML research relevant to HR and workforce management. Exploring new techniques in deep learning More ❯

involved in driving insights and strategy for the product team, creating and measuring value through experimentation, creating focus through metrics and goals, and building deep learning about what is most impactful for each team. You will be able to determine the underlying dynamics of our complex ecosystem and … wider data organisation as part of the tech org, and is complemented by data engineering teams, data platform teams, and ML teams for when deep ML and AI techniques are required. Our autonomous model creates a huge opportunity for personal influence and impact - as the data scientist on the … products and is at the forefront of the rail industry, presenting opportunities to launch new products, work to develop product market fit and go deep with techniques like geospatial and graph analyses. With a team of over a hundred technologists delivering daily data-driven product releases and platform updates More ❯

You will need to login before you can apply for a job. Senior Director Artificial Intelligence/Machine Learning Site Name: London The Stanley Building Posted Date: Mar At GSK we see a world in which advanced applications of machine learning and AI will allow us to develop … with fewer side effects. It is an ambitious vision that will require the development of products and solutions at the cutting edge of machine learning and AI. If that excites you, we'd love to chat. The AI/ML Clinical Development team is responsible for creating AI/… building out a team in this domain. The candidate should be comfortable being accountable for setting the direction, standards, and culture of a machine learning engineering sub-team, with demonstrable expertise across machine learning, software engineering, computational pathology and medical imaging. Equally important will be excellent communication, interpersonal More ❯

mental healthcare? At ieso Digital Health , we’re on a mission to revolutionise patient care through advanced AI techniques, natural language processing (NLP), and deep learning. We’re seeking an Senior AI Scientist to design and implement innovative solutions that directly impact mental health treatment. What You'll Do … or a related field. ✔ Experience as an effective researcher in academia or industry. ✔ Strong programming skills (Python, Java, or Scala). ✔ Expertise in machine learning and NLP, including deep learning applications. ✔ Agile mindset with a problem-solving approach and a passion for getting things done. Bonus Points More ❯