226 to 250 of 354 Deep Learning Jobs in the UK

secure systems that power trustworthy AI for customers tackling some of society's hardest problems. This is a hands‐on technical role that combines deep backend expertise with a collaborative, product‐minded approach. What you'll do Lead the design, development, and maintenance of high‐quality software, owning solutions … consistent RESTful APIs Provide technical support and lead incident investigations Champion Scrum and drive continuous improvement in how the team works Foster a collaborative, learning‐oriented environment where engineers grow In addition to backend work, you may also be required to support tasks on the frontend — we value engineers ...

backed by leading players across the automotive and tire industries, ATI is building technology that will redefine how cars are serviced. Our team combines deep robotics expertise with real world deployment, moving fast from prototype to production and scaling solutions directly in the field. This role offers an exciting … highly skilled and experienced Lead Perception Engineer with expertise leading a team of engineers solving difficult robotic perception challenges using both classical and machine learning (ML) approaches. The ideal candidate will have hands‐on experience with developing solutions end to end, including evaluation of the problem, sensor selection, leading ...

cutting-edge technology company specializing in artificial intelligence and machine learning solutions with a focus on computer vision. Our mission is to revolutionize how visual data is processed and interpreted, enabling businesses and individuals to harness the power of AI in innovative and practical ways. We are driven … entails The AI Engineer (ML/Computer Vision) role is pivotal in advancing our AI capabilities by designing, developing, and optimizing machine learning models specifically tailored for computer vision applications. The position involves working closely with cross-functional teams to build state-of-the-art algorithms that can analyze ...

Summary The Senior Research Scientist sits on DeepHealth's ML Capabilities team and advances research in machine learning for medical imaging, with a focus on foundation models in radiology AI. This role designs novel model architectures, develops experimental systems to test research hypotheses, and helps translate research into solutions … Responsibilities Define and drive the scientific roadmap for foundation models in medical imaging within the ML Capabilities programme. Track and evaluate developments in machine learning and generative AI relevant to radiology and multimodal imaging. Design and prototype novel model architectures for multimodal medical imaging data. Develop experimental systems ...

successfully integrated into product strategies, risk decisioning, and business growth initiatives. This is a hands‐on role for someone who combines strong applied machine learning with modern ML Ops practices. We are looking for a data scientist who can take models from exploration through to production, monitoring, and iteration. … data to develop strategies for our products that serve millions of customers and thousands of merchants. Build, validate, deploy, and monitor robust, scalable machine learning models and model pipelines across the risk lifecycle, including onboarding, affordability, life‐time value, credit/default risk, in‐life risk, collections, and fraud. ...

with software development in one or more programming languages. 5 years of experience with data structures and algorithms. 5 years of experience with machine learning algorithms and tools, artificial intelligence, deep learning, or natural language processing. 3 years of experience testing, maintaining, or launching software products … display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. The Machine Learning (ML)-Omega team is responsible for optimizing, modeling, and evaluating GPU systems for comparative analysis and benchmarking for Google’s internal ML workloads. ...

Bayesian models, state space models, filtering and smoothing, computational statistics and approximate inference methods Experience with and/or knowledge of machine and statistical learning, deep neural networks, feature engineering, reinforcement learning, dynamic optimisation and optimal control Experience working with large datasets Knowledge of and interest ...

technologies when needed. - Experience with hardware devices or sensors. Any experience with embedded systems, mobile OS or computer networking would be beneficial. - Experience with deep-learning frameworks (TensorFlow or PyTorch) would be desirable. - Exposure to computational statistics, algorithm development or machine learning optimisation would be a bonus. … develop your skills and knowledge with like-minded engineers. Keywords : Python, PyTorch, TensorFlow, Sensors, Embedded Systems, Hardware Interface, Mobile OS, Algorithms, Statistics, Machine Learning, Defence, Security Clearance, Start Up Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact ...

efficiency. Education & Certifications Degree Qualified or demonstratable Azure environment experience. Key Skills & Technologies Programming & Frameworks: SQL, NoSQL,FastAPI, Git & MSPowerAppSuite AI: Classification, Regression, Clustering, Deep Learning, Time Series, LLM Agents, RAG Cloud & Deployment: Azure AI, Databricks. Data Visualization: Power BI, Excel, Copilot Studio Our Culture ...

evaluators and calibrated against human clinicians. About You You will have or be close to the completion of PhD/DPhil in machine learning, computer science, computational neuroscience, mathematics, or a related quantitative discipline and possess sufficient specialist knowledge in the discipline to work within established research programme … based, agentic or multi-agent approaches, using modern Python and LLM APIs. You will also have experience designing and analysing empirical evaluations of machine-learning systems, ideally including simulation-based methods, LLM-as-judge approaches, and validation of automated evaluations against human ratings. Experience with AI safety evaluation methods ...

breakthrough technology of personalised medicine. Since the beginning, our proprietary insight has always been that the company to create a true active learning data engine with a loss function against human wellbeing would be the one to crack it, becoming one of the most impactful companies in the world … stakes, you belong at Anima. Your work here will save lives. - Shun Long before the "vertical AI" craze, we were obsessed with active reinforcement learning—a niche field in 2021 that the world, pre-ChatGPT, largely ignored. Our trajectory has been unwavering since our YC application: achieving the "holy ...

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 ...

developing cutting‐edge AI technologies that will transform how people manage their time, tasks, and daily lives. Key Responsibilities: Lead research initiatives in machine learning, natural language processing, and AI to enhance our suite of productivity tools. Develop novel algorithms and models to improve task automation, predictive scheduling … thought leader in Application AI. Mentor junior researchers and foster a culture of innovation within the team. Qualifications: PhD in Computer Science, Machine Learning, or a related field. 5+ years of experience in AI research, with a focus on applications in productivity tools or similar domains. Strong publication record ...

looking for experienced machine learning researchers with hands‐on experience training and improving deep learning models end-to-end, across vision and language. You’ll work on well‐scoped empirical open‐ended ML research problems. Responsibilities Train image classifiers and generative image models from scratch, and fine … data‐constrained regimes. Additional Areas of Interest Experience in any of the following is a plus: Scaling laws and training‐efficiency research. Curriculum learning and data ordering. Model evaluation: benchmark construction, contamination control, statistically sound comparisons. Uncertainty estimation and model calibration. Data augmentation and synthetic data for robustness. General ...

Engineer at Digital Scholarship at Oxford (DiSc). About you You will hold a relevant PhD/DPhil or have substantial experience of machine learning in a research or industry environment, and have the ability and willingness to combine machine learning research with sustained engagement with historical … multilingual source material. You will have a strong understanding of deep learning and natural language processing, with practical experience of training, adapting and deploying large language models. You will also be able to process and transform historical, multilingual or otherwise non-standard textual data and to design ...

leaders in generative AI and foundation models for spatial and single-cell genomics – you will develop and apply state-of-the-art machine learning approaches to large-scale spatial genomics and multi-modal biological datasets. The successful candidate will be embedded across both institutes, benefiting from joint supervision, collaborative … meetings and access to world-leading expertise, datasets, computational infrastructure and scientific networks. Applicants from machine learning, computer science, statistics, mathematics or related quantitative disciplines are encouraged to apply – prior genomics experience is not essential, and structured training and support will be provided. What you’ll be doing ...

looking for experienced machine learning researchers with hands-on experience training and improving deep learning models end-to-end, across vision and language. You'll work on well-scoped empirical open-ended ML research problems. Responsibilities Train image classifiers and generative image models from scratch, and fine … data-constrained regimes. Additional Areas of Interest Experience in any of the following is a plus: Scaling laws and training-efficiency research. Curriculum learning and data ordering. Model evaluation: benchmark construction, contamination control, statistically sound comparisons. Uncertainty estimation and model calibration. Data augmentation and synthetic data for robustness. General ...

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 ...

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 ...

quantitative academic role, underpinned by high mathematical and statistical competence. You are a strong Python programmer, proficient in essential libraries (NumPy, Pandas) and a deep-learning framework (TensorFlow/PyTorch). You possess a solid grasp of core data science techniques (supervised/unsupervised learning, time-series … know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual ...

Models Specialist! This position is part of the WWSO Startup team in EMEA, where you will support the latest generation of FrontierAI Startups going-deep with customers to understand their AI Model usage (both custom and Open Weight), support training and large inference workloads, drive patterns with … account sales teams and customer success roles. We are technology specialists, who work backwards from our customers’ most complex, business-critical problems to dive-deep and guide customers through technical expertise, joint with building and executing go-to-market plans that turn AWS ideas into multi-billion-dollar businesses. ...

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 ...

feature or writing scripts to analyse performance bottlenecks. You're starting a journey where problems are often ambiguous, priorities shift quickly, and learning from more experienced colleagues will accelerate your growth significantly. To succeed as a Mid-Level RAD Engineer, you will be a proponent of agile principles … feedback. Self-directed learner: You take ownership of understanding the Aquis platform and trading technology. You read code, ask questions, and invest in deep learning without constant prompting. Good team player: You collaborate well across teams, take feedback constructively, and help colleagues succeed. Autonomous but seeks guidance wisely ...

leaders in generative AI and foundation models for spatial and single-cell genomics – you will develop and apply state-of-the-art machine learning approaches to large-scale spatial genomics and multi-modal biological datasets. Key Responsibilities These include but are not limited to: Developing advanced AI/… Sanger Institute. Leading publications, conference presentations and dissemination of research findings. About you You will have: PhD (or near submission) in computational biology, machine learning, computer science, statistics or a related quantitative discipline. Experience developing and applying deep learning or AI/ML methods to complex scientific ...