276 to 300 of 1,151 Deep Learning Jobs in the UK

where manual interventions are needed. The team leverages state-of-the-art technology and GenAI to deliver the products and associated goals. Minimum Qualifications 3+ years of building machine learning models for business application experience PhD, or Master's degree and 6+ years of applied research experience Experience programming in Java, C++, Python or related language Experience with neural … deep learning methods and machine learning Experience with prompting techniques for LLMs Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark etc. PhD in math/statistics/engineering or other equivalent quantitative discipline Experience with conducting research in a More ❯

production (e.g., Flask, Django, Gunicorn, SQLAlchemy, Psycopg2). Strong background in working with large datasets using tools like Pandas, NumPy, or Spark. At least 2 years' experience with machine learning, deep learning, or AI systems. Familiarity with key libraries and frameworks such as TensorFlow, Scikit-learn, PyTorch, Transformers, LangChain, BeautifulSoup, and OpenCV. Experience with AI APIs and … or compliance frameworks. Academic background in mathematics, statistics, or quantitative disciplines. Who You Are: A natural problem-solver and independent thinker with a structured approach to work. Passionate about learning, growth, and continuous improvement. Organised and self-motivated, with excellent time management. Comfortable taking initiative and ownership of technical decisions. A collaborative team player who thrives in a dynamic More ❯

production (e.g., Flask, Django, Gunicorn, SQLAlchemy, Psycopg2). Strong background in working with large datasets using tools like Pandas, NumPy, or Spark. At least 2 years' experience with machine learning, deep learning, or AI systems. Familiarity with key libraries and frameworks such as TensorFlow, Scikit-learn, PyTorch, Transformers, LangChain, BeautifulSoup, and OpenCV. Experience with AI APIs and … or compliance frameworks. Academic background in mathematics, statistics, or quantitative disciplines. Who You Are: A natural problem-solver and independent thinker with a structured approach to work. Passionate about learning, growth, and continuous improvement. Organised and self-motivated, with excellent time management. Comfortable taking initiative and ownership of technical decisions. A collaborative team player who thrives in a dynamic More ❯

production (e.g., Flask, Django, Gunicorn, SQLAlchemy, Psycopg2). Strong background in working with large datasets using tools like Pandas, NumPy, or Spark. At least 2 years' experience with machine learning, deep learning, or AI systems. Familiarity with key libraries and frameworks such as TensorFlow, Scikit-learn, PyTorch, Transformers, LangChain, BeautifulSoup, and OpenCV. Experience with AI APIs and … or compliance frameworks. Academic background in mathematics, statistics, or quantitative disciplines. Who You Are: A natural problem-solver and independent thinker with a structured approach to work. Passionate about learning, growth, and continuous improvement. Organised and self-motivated, with excellent time management. Comfortable taking initiative and ownership of technical decisions. A collaborative team player who thrives in a dynamic More ❯

Actions. Work experience in CI/CD and the setup of relevant pipeline and processes. Work experience with working in Linux and Microsoft Azure. Nice to Have Experience with deep learning, machine learning and NLP frameworks such as PyTorch, HuggingFace Transformer, Scikit-learn. Experience with multiple cloud platforms such as AWS, Google Cloud Platform, Oracle, NVIDIA, or More ❯

Java ecosystem trends (e.g., Spring Boot, Cloud Native, JVM advancements), guiding teams on technology adoption. Actively mentor and coach mid-level and junior developers, fostering a culture of continuous learning and skill development. Drive innovation by introducing new methodologies and tools, leading change management initiatives. Foster a highly collaborative team environment, ensuring smooth communication and integration among team members. … of these, we are an organisation that encourages continuous personal development, and are keen to talk with good candidate Desirable but not essential Demonstrable interest in Artificial Intelligence, Machine Learning, Deep Learning, or Natural Language Processing. Some hands-on experience with AI concepts, libraries, or frameworks (e.g., TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers, Keras, etc.). More ❯

and systems to extract knowledge or insights to drive the future of artificial intelligence. What you will be doing: Applying and/or developing statistical modelling techniques (such as deep neural networks, Bayesian models, Generative AI, Forecasting), optimization methods and other ML techniques Converting data into practical insights Analysing and investigating data quality for identified data and communicate it … key stakeholders exploring new data sources with excellent coding skills in Python, R, SQL etc. Understanding of cloud services AWS, Snowflake and Databricks. Evidence of academic training in Statistics. Deep/broad knowledge of machine learning, statistics, optimisation, or related field with exposure to Generative AI and Large Language Models. A genuine curiosity about new and applied technology More ❯

and systems to extract knowledge or insights to drive the future of artificial intelligence. What you will be doing: Applying and/or developing statistical modelling techniques (such as deep neural networks, Bayesian models, Generative AI, Forecasting), optimization methods and other ML techniques. Synthesising problems into data question(s). Converting data into practical insights. Analysing and investigating data … key stakeholders, exploring new data sources with excellent coding skills in Python, R, SQL, etc. Understanding of cloud services AWS, Snowflake and Databricks. Evidence of academic training in Statistics. Deep/broad knowledge of machine learning, statistics, optimisation, or related field with exposure to Generative AI and Large Language Models. A genuine curiosity about new and applied technology More ❯

Java ecosystem trends (e.g., Spring Boot, Cloud Native, JVM advancements), guiding teams on technology adoption Actively mentor and coach mid-level and junior developers, fostering a culture of continuous learning and skill development Drive innovation by introducing new methodologies and tools, leading change management initiatives Foster a highly collaborative team environment, ensuring smooth communication and integration among team members. … of these, we are an organisation that encourages continuous personal development, and are keen to talk with good candidates Desirable but not essential Demonstrable interest in Artificial Intelligence, Machine Learning, Deep Learning, or Natural Language Processing.Some hands-on experience with AI concepts, libraries, or frameworks (e.g., TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers, Keras, etc.) Familiarity with More ❯

Social network you want to login/join with: Deep Learning Specialist, london (city of london) col-narrow-left Client: Insight Global Location: london (city of london), United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 4 Posted: 16.06.2025 Expiry Date: 31.07.2025 col-wide Job Description: Our client in the Pharmaceutical Manufacturing … for applying generative AI in early-stage drug discovery, collaborating with cross-functional teams across biology, chemistry, and data science. Stay current with the latest research in computer vision, deep learning, representation learning, and multi-modal data integration. Communicate findings through reports, presentations, and scientific publications to both internal and external stakeholders. Build and maintain collaborations with … in Computer Science, Bioinformatics, Computational Biology, Physics, or a related field. High level of enterprise experience working in Computer Vision and SME experience in three key fields: Self-supervised learning Vision transformers. Professional hands-on experience with pretraining or fine-tuning foundation models for computer vision tasks. Proven expertise in multi-modal data integration and representation learning, ideally More ❯

for applying generative AI in early-stage drug discovery, collaborating with cross-functional teams across biology, chemistry, and data science. Stay current with the latest research in computer vision, deep learning, representation learning, and multi-modal data integration. Communicate findings through reports, presentations, and scientific publications to both internal and external stakeholders. Build and maintain collaborations with … in Computer Science, Bioinformatics, Computational Biology, Physics, or a related field. High level of enterprise experience working in Computer Vision and SME experience in three key fields: Self-supervised learning Vision transformers. Professional hands-on experience with pretraining or fine-tuning foundation models for computer vision tasks. Proven expertise in multi-modal data integration and representation learning, ideally … applied to biological or pharmaceutical problems. Advanced programming skills in Python, with SME knowledge of deep learning frameworks in PyTorch, Hugging Face, or PyTorch Lightning. Proficiency in modern software development practices: version control (Git), continuous integration, testing, and Python packaging (e.g., uv). Plusses: Experience with high-content screening, high-throughput data generation, or single-cell RNA sequencing. More ❯

ACL. Job Description We are seeking a highly motivated and talented Research Scientist to join our AI research team. The ideal candidate will have a strong background in machine learning, artificial intelligence, computer science, mathematics, or physics, and a proven track record of research excellence. As a Research Scientist, you will work on cutting-edge projects that push the … and the other dedicated to fundamental research that supports both our applications and the broader scientific community. Current areas of interest include large language models (LLMs), optimization methods for deep learning, reinforcement learning (RL), and generative models. Responsibilities •Conduct innovative research in machine learning and artificial intelligence •Develop and implement algorithms •Collaborate with cross-functional teams … solutions •Publish research findings in top-tier conferences and journals •Stay up to date with the latest advancements in AI and related fields RequirementResponsibilities •Conduct innovative research in machine learning and artificial intelligence •Develop and implement algorithms •Collaborate with cross-functional teams to integrate AI solutions •Publish research findings in top-tier conferences and journals •Stay up to date More ❯

Job Description Join the elite Applied Innovation of AI (AI2) team at JP Morgan Chase, strategically located within the CTO office. As a Machine Learning Specialist within the JPMC businesses, you will be responsible for addressing business-critical priorities using innovative machine learning techniques. You will work closely with stakeholders to execute projects that support the growth of … the business and explore novel challenges that could revolutionize the way the bank operates. Your role will involve applying advanced machine learning methods to a range of complex tasks, such as data mining, text understanding, anomaly detection, and generative AI. You will collaborate with business, technologists, and control partners to deploy solutions into production. Additionally, your responsibilities will include … researching new methods, developing models, and contributing to reusable code and components. Job Responsibilities: Research and explore new machine learning methods through independent study, attending conferences, and experimentation. Develop state-of-the-art machine learning models to solve real-world problems in Cybersecurity, Software, and Technology Infrastructure. Collaborate with partner teams to deploy solutions into production. Drive firmwide More ❯

Applied AI ML Senior Associate - Machine Learning Center of Excellence - Time Series Reinforcement Learning Job Description The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights … and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. As an Applied AI ML Senior Associate in Machine Learning Center of Excellence, you will have … the opportunity to apply sophisticated machine learning methods to complex tasks including time series analysis, reinforcement learning, causal inference, and natural language processing. You will collaborate with various teams and actively participate in our knowledge sharing community. We are looking for someone who excels in a highly collaborative environment, working together with our business, technologists and control partners 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, internet, and enterprise network telemetry 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'll work on developing and optimizing anomaly detection algorithms that power our highly scalable stream … implement, and maintain large-scale 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 implement sophisticated anomaly detection algorithms More ❯

As a Machine Learning Engineer in the Applied AI team at Graphcore, you will contribute to advancing AI technology by developing and optimising AI models tailored to our specialised hardware. Working closely with the Software development and Research teams, you will play a critical role in finding opportunities to innovate and differentiate Graphcore's technology. We seek engineers with … you're excited about advancing the next generation of AI models on cutting-edge hardware, we'd love to hear from you! Responsibilities and Duties Implement the latest machine learning models and optimise them for performance and accuracy, scaling to thousands of accelerators. Test and evaluate new internal software releases, provide feedback to software engineering teams, make vital code … hardware. Engage with the AI community and stay updated with the latest developments in AI. Candidate Profile Essential skills: Bachelor's, Master's, PhD, or equivalent experience in Machine Learning, Computer Science, Maths, Data Science, or related fields. Proficiency in deep learning frameworks like PyTorch or JAX. Strong Python software development skills (knowledge of C++ or other More ❯

the outdoors and a desire to protect it for future generations. Responsibilities As a member of our Autonomy organization, you will guide the strategy, architecture, and deployment of machine learning models for our vehicle's perception. These models support autonomous driving features and in-vehicle experiences by enabling environmental understanding. Your work will directly impact the core functionalities of … object detection, tracking, scene understanding, mapping), including MLOps, data pipelines, and optimization for robust onboard deployment Team Leadership & Mentorship: Build, mentor, and lead a high-performing team of machine learning engineers, fostering a culture of innovation, technical excellence, and continuous improvement Cross-Functional Collaboration & Integration: Partner effectively with teams across the autonomy stack (e.g., prediction, planning, simulation, hardware, ML … infrastructure) to deliver seamlessly integrated and high-performing autonomous features Qualifications MS or PhD in Computer Science, Robotics, Machine Learning, Electrical Engineering, or a related field Experience (typically 8+ years post-graduation) in machine learning, computer vision, or robotics, with significant work in perception for autonomous systems Experience (typically 3+ years) in a technical leadership or management role More ❯

This innovative company uses camera data to develop state-of-the-art solutions aimed at enhancing early detection and treatment of cancer. They are now seeking a talented Machine Learning Researcher in Computer Vision to join their dynamic and fully remote team. Role Overview: This exciting opportunity is perfect for a recent PhD graduate or an individual with a … of cancer detection using video data. You will collaborate with a multidisciplinary team and contribute to the advancement of medical technology. Key Responsibilities: Develop and implement cutting-edge machine learning algorithms for detecting images and videos. Work closely with researchers, engineers, and medical professionals to translate research findings into practical applications. (team of 20 other researchers). Conduct experiments … to validate and enhance the performance of computer vision models. Stay current with the latest advancements in machine learning and computer vision, applying this knowledge to ongoing projects. Publish research findings in leading scientific journals and present at industry conferences. Qualifications: PhD in Computer Science, Electrical Engineering, Biomedical Engineering, or a related field with a focus on Machine Learning More ❯

Senior Staff Machine Learning Scientist, Operations Join to apply for the Senior Staff Machine Learning Scientist, Operations role at Monzo Bank Senior Staff Machine Learning Scientist, Operations 2 days ago Be among the first 25 applicants Join to apply for the Senior Staff Machine Learning Scientist, Operations role at Monzo Bank We’re on a mission … + Benefits | Hear from the team About Ops Data Our Operations Data team consists of over 25 people across 4 data disciplines: Analytics Engineering, Data Analytics, Machine Learning, and Data Science. In our Operations Collective, you'll have the opportunity to embed into an area that is the heart of how we work with our customers’ problems - delivering award … winning customer support - and is full of data challenges. Machine Learning supports all aspects of Operations, from workforce planning to customer support experience, to enabling teams to work effectively and efficiently. You’ll play a key role... As a Senior Staff ML Scientist , you’ll be at the pinnacle of our Individual Contributor (IC) career track, serving as the More ❯

Scientist and help lead our Data Science team within our newly established Data Science & AI Centre of Excellence. You will develop data-driven solutions using Python and Azure Machine Learning to address business challenges in reinsurance and risk, working alongside actuaries, brokers, and product managers. Responsibilities include: Developing and implementing machine learning models with Python and Azure ML. … Migrating and operationalising models for flood, quake, climate, and hurricane predictions. Supporting development of our Cyber Technographic Insight Discovery Engine (TIDE). Utilising classical machine learning techniques to build explainable models. Contributing to our AI strategy and enhancing internal capabilities. Collaborating with cross-functional teams to drive innovation. Writing well-documented, tested, and readable code. Conducting data analysis, cleaning … to technical and non-technical audiences. Qualifications include: Proven track record in senior data science roles. Strong Python skills and experience with Azure Machine Learning. Understanding of classical machine learning and deep learning. Commercial focus with an interest in reinsurance and risk. Excellent problem-solving, analytical, and communication skills. Degree in Computer Science, Data Science, or related field More ❯

that will help our customers imagine, design, and make a better world. We are a team of scientists, researchers, engineers, and designers working together on projects that range from learning-based design systems, computer vision, graphics, robotics, human-computer interaction, sustainability, simulation, manufacturing, architectural design and construction. This role will report to a Manager of Research Science in the … Master's or PhD in a field related to AI/ML such as: Computer Science, Mathematics, Statistics, Physics, Linguistics, Mechanical Engineering, Architecture or related disciplines Strong background applying Deep Learning techniques (including implementing custom architectures, optimizing model performance, developing novel loss functions, and deploying production-ready solutions) Familiarity in statistical methods for Machine Learning (e.g. Bayesian … Sets, Specifications, or Shop Drawings) Knowledge of structured data representation and management in AEC workflows (building information modeling, structural specifications, project documentation) LLMs and Natural Language Processing Multi-modal deep learning and/or information retrieval Publication track record in machine learning conferences and/or journals Significant post-graduate research experience, or 5 or greater years More ❯

t wait to hear from you! KEY RESPONSIBILITIES: Actively contribute to the design, development, testing, and evaluation of data science solutions Train and deploy state-of-the-art machine learning and reinforcement learning models Build AI systems using Large Language Models Build processes for extracting, cleaning and transforming data (SQL/Python) Ad-hoc data mining for insights … of presenting technical concepts to stakeholders Experience of proactively contributing to the design, development, testing, and deployment of data science and AI solutions Experience and understanding of applied machine learning techniques in Python (e.g., xgboost, regression, decision trees) Experience with physics modelling highly desirable Practical knowledge and experience of developing AI solutions using advanced machine learning techniques (e.g. … reinforcement learning, deep learning) Experience of working collaboratively as part of a data science team, using tools like Git to adhere to established data science and AI best practices Experience of using different analysis techniques to draw insight from data, using tools such as Python and SQL Excellent Python skills, including relevant libraries for data analysis and More ❯

t wait to hear from you! KEY RESPONSIBILITIES: Actively contribute to the design, development, testing, and evaluation of data science solutions Train and deploy state-of-the-art machine learning and reinforcement learning models Build AI systems using Large Language Models Build processes for extracting, cleaning and transforming data (SQL/Python) Ad-hoc data mining for insights … of presenting technical concepts to stakeholders Experience of proactively contributing to the design, development, testing, and deployment of data science and AI solutions Experience and understanding of applied machine learning techniques in Python (e.g. xgboost, regression, decision trees) Experience with computational simulation/modelling highly desirable Practical knowledge and experience of developing AI solutions using advanced machine learning techniques (e.g. reinforcement learning, deep learning) Experience of working collaboratively as part of a data science team, using tools like Git to adhere to established data science and AI best practices Experience of using different analysis techniques to draw insight from data, using tools such as Python and SQL Excellent Python, including relevant libraries for data More ❯

s degree in Computer Science, Data Science, Engineering, or a related field. PhD in a relevant field is a plus. Experience Required 5+ years of experience in AI, machine learning, or data science roles. Proven track record of developing and launching successful data-driven products, ideally within a SaaS or enterprise software environment. Experience in building and maintaining MLOps … industry is preferred. Experience in leading and mentoring teams of data scientists and product developers. Skills and Knowledge Required Proficiency in programming languages such as Python, R, or Java. Deep understanding of machine learning, deep learning, and other AI techniques. Experience with data engineering tools and frameworks. Strong knowledge of cloud computing platforms and MLOps practices. More ❯

names in the entertainment, media, 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 models to create, process, and analyze audio content. Implement and refine AI-based forensic audio … and research teams. Required Qualifications: 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, etc.). Understanding of real More ❯