21 of 21 Permanent Deep Learning Jobs in Cambridgeshire

ability to approach tasks in a scientific manner Data science skills, including handling of large data sets, modelling and evaluation Good understanding of software engineering concepts, particularly with machine learning development Experience with machine learning Python frameworks such as PyTorch, Tensorflow and Scikit-Learn For more senior candidates: Understanding of, including published work within, related academic fields such … as NLP, Computer Vision or Deep Learning Relevant industry experience with demonstrable impact in a commercial setting Significant practical usage of modern ML areas (NLP, Transformers, LLMs, NER, GANs, Reinforcement Learning, etc.) Requirements Master's degree or Postgraduate (preferred) qualification from a Top 200 Global University, preferably in a technical subject More ❯

know that they are valued for their unique perspectives. We are all accountable for sustaining a diverse and inclusive environment. What You Will Contribute To Altos As a Machine Learning Engineer, you will play a prominent role in developing generative AI/ML models for multi-modal, multiscale biology. We are looking for a hands-on, senior level creative … rigor, and integrity. Responsibilities - Partner with world-class scientists across Altos to help generate biological insights with the goal of developing novel therapies; Design and implement large-scale machine learning algorithms and systems applied to biological datasets; Train, evaluate, and optimize machine learning models at scale; Communicate effectively with internal and external collaborators to meet ambitious research and … development goals. Who You Are - Proven track record leveraging machine learning to solve real-world problems; Expertise in one or more of the following: generative models, language models, computer vision, bayesian inference, causal reasoning & inference, transfer & multi-task learning, diffusion models, graph neural networks, active learning; Experience writing production-quality code with modern machine learning frameworks More ❯

The Artificial General Intelligence (AGI) team is seeking a dedicated, skilled, and innovative Applied Scientist with a robust background in deep learning to build industry-leading technology with Large Language Models (LLMs) and Multimodal systems. Key job responsibilities As part of the AGI team, the Applied Scientist will collaborate closely with talented colleagues to lead the development of … performance products that require exceptional technical expertise and a sound understanding of Machine Learning. BASIC QUALIFICATIONS PhD, or Master's degree with 4+ years of experience in building machine learning models or developing algorithms for business applications Experience programming in Java, C++, Python, or related languages Experience with neural deep learning methods and machine learning Experience … with Large Language Models (LLMs) or multimodal systems PREFERRED QUALIFICATIONS PhD in Mathematics, Statistics, Engineering, Machine Learning, Computer Science, or related discipline 4+ years of industry or postdoctoral experience in machine learning Experience with patents or publications at top-tier peer-reviewed conferences or journals Experience with popular deep learning frameworks such as MxNet, PyTorch, or 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 1000s of accelerators. Test and evaluate new internal software releases, provide feedback to software engineering teams, make vital code … Engage with AI community and keep in touch with the latest developments in AI. Candidate Profile Essential skills: Bachelor/Master's/PhD or equivalent experience in Machine Learning, Computer Science, Maths, Data Science, or related field. Proficiency in deep learning frameworks like PyTorch/JAX. Strong Python software development skills (nice to have C other More ❯

Machine Learning Scientists/Engineers, Cambridge, UK Astex Pharmaceuticals is a global leader in innovative drug discovery, utilizing its proprietary Fragment-Based Drug Discovery platform to develop new drug candidates, with several progressing in clinical trials. The company focuses on Neurological Disorders and Oncology. The Role We are seeking Machine Learning Scientists/Engineers for permanent and … year fixed-term contracts to develop innovative machine learning methods for structure-based drug discovery. You will work on advancing computational tools that impact the design and optimization of therapeutics, leveraging extensive proprietary datasets and cutting-edge AI techniques in a collaborative environment. Responsibilities: Design and implement ML models for structure-based drug design, including protein-ligand interaction modeling … multidisciplinary teams to translate research into production solutions. Profile and Skills: PhD or equivalent in a technical discipline (e.g., computer science, chemistry, physics, engineering). Strong background in machine learning, including deep learning and generative models. Experience with ML frameworks such as PyTorch, TensorFlow, or JAX. Proficiency in Python and C++, with a collaborative mindset. Familiarity with More ❯

of diverse perspectives. AMD together we advance_ GPU KERNEL DEVELOPMENT THE ROLE: As a core member of the team, you will play a pivotal role in optimizing and developing deep learning frameworks for AMD GPUs. Your experience will be critical in enhancing GPU kernels, deep learning models, and training/inference performance across multi-GPU and … manage development efforts, and deliver high-quality solutions. Strong problem-solving skills, a proactive approach, and a keen understanding of software engineering best practices are essential. KEY RESPONSIBILITIES: Optimize Deep Learning Frameworks: Enhance and optimize frameworks like TensorFlow and PyTorch for AMD GPUs in open-source repositories. Develop GPU Kernels: Create and optimize GPU kernels to maximize performance … for specific AI operations. Develop & Optimize Models: Design and optimize deep learning models specifically for AMD GPU performance. Collaborate with GPU Library Teams: Work closely with internal teams to analyze and improve training and inference performance on AMD GPUs. Collaborate with Open-Source Maintainers: Engage with framework maintainers to ensure code changes are aligned with requirements and integrated More ❯

together we advance_ SENIOR SOFTWARE DEVELOPMENT ENGINEER- GPU KERNEL DEVELOPMENT THE ROLE: As a core member of the team, you will play a pivotal role in optimizing and developing deep learning frameworks for AMD GPUs. Your experience will be critical in enhancing GPU kernels, deep learning models, and training/inference performance across multi-GPU and … manage development efforts, and deliver high-quality solutions. Strong problem-solving skills, a proactive approach, and a keen understanding of software engineering best practices are essential. KEY RESPONSIBILITIES: Optimize Deep Learning Frameworks: Enhance and optimize frameworks like TensorFlow and PyTorch for AMD GPUs in open-source repositories. Develop GPU Kernels: Create and optimize GPU kernels to maximize performance … for specific AI operations. Develop & Optimize Models: Design and optimize deep learning models specifically for AMD GPU performance. Collaborate with GPU Library Teams: Work closely with internal teams to analyze and improve training and inference performance on AMD GPUs. Collaborate with Open-Source Maintainers: Engage with framework maintainers to ensure code changes are aligned with requirements and integrated More ❯

our Supply Chain from our suppliers to our customers. We are also responsible for analyzing the performance of our Supply Chain end-to-end and deploying Operations Research, Machine Learning, Statistics and Econometrics models to improve decision making within our organization, including forecasting, planning and executing our network. We work closely with other Supply Chain Optimization Technology teams, with … and with our internal WW stakeholders within Supply Chain, Transportation, Store and Finance. We are looking for an experienced candidate having a well-rounded technical/scientific background, and deep expertise in large-scale non-convex non-linear OR optimization (inc. stochastic), as well as forecasting (inc. probabilistic). The candidates should have an history of delivering complex scientific … improvements and results in an ever-changing operational environment. As an Applied Scientist, you will design, develop and deploy robust and scalable scientific solutions via Operations Research and Machine Learning algorithms, especially in the context of stochastic customer demand and other sources of uncertainty requiring to move past deterministic and linear optimization. You will partner with other tech and More ❯

Job ID: Evi Technologies 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 an Applied Scientist on our team you will work with … the art in multi-modal AGI models, with a focus on speech generation. You will leverage Amazon's heterogeneous data sources and large-scale computing resources to build Machine Learning models for their application in speech generation. This role requires a pragmatic technical leader comfortable with ambiguity, capable of summarizing complex data and models through clear visual and written … related language - Experience in any 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 passionately that employing a diverse More ❯

customer experience of ground-breaking products? Then come join us and make history. We are looking for a passionate, talented, and inventive Applied Scientist with a background in Machine Learning to help build industry-leading Speech, Language, Audio and Video technology. As an Applied Scientist at Amazon you will work with talented peers to develop novel algorithms and generative … arts techniques for novel applications. Research and implement novel ML and statistical approaches to add value to the business. Mentor junior engineers and scientists. BASIC QUALIFICATIONS - Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF - Experience in building speech recognition, machine translation and natural language processing systems (e.g. … commercial speech products or government speech projects) - Experience with programming languages such as Python, Java, C++ PREFERRED QUALIFICATIONS - PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field - Experience in patents or publications at top-tier peer-reviewed conferences or journals Amazon is an equal opportunities employer. We believe passionately that employing More ❯

the job requisition number in your message. Salary Range $93,800.00 - $174,200.00 Skills Desired Biostatistics, Computer Programming, Data Analysis, Databases, Data Management, Data Mining, Data Quality, Data Visualization, Deep Learning, Graph Algorithms, High-Performance Computing, Logistic Regression Model, Machine Learning (Ml), Master Data Management, Pandas (Python), Python (Programming Language), R (Programming Language), Random Forest Algorithm, Sql More ❯

improve Alexa's voice and make it more human-like and expressive. We are looking for a passionate, talented, and inventive Scientist with a strong background in Machine/Deep Learning to join us in beautiful Cambridge, UK. Our mission is to push the envelope in computer-generated speech in order to provide the best-possible experience for … technology. You will leverage Amazon's heterogeneous data sources and large-scale computing resources to accelerate advances in computer generated speech. Position Responsibilities: - Research and implement novel Machine/Deep Learning approaches which add value to Amazon - Lead and Mentor junior engineers and scientists - Participate in the design, development, evaluation, deployment and updating of data-driven models and … analytical solutions for spoken language applications - Develop and/or apply statistical modelling methods (e.g. deep neural networks), optimizations, and other ML techniques to different applications in spoken language engineering Company: Amazon Qualifications: BASIC QUALIFICATIONS - PhD, or a Master's degree and experience in CS, CE, ML or related field - Experience in patents or publications at top-tier peer More ❯

Travel 0-25 % Role type Profession Research, Applied, & Data Sciences Research Sciences Employment type Full-Time Overview We are on the cusp of a new frontier in which machine learning and artificial intelligence are transforming scientific discovery. We seek to drive major advances in sciences with machine learning, with a focus on 'fifth paradigm' scenarios. Through these advances … and the discovery of new drugs. AI for Science is a new global team in Microsoft Research focusingon the opportunity to transform scientific modelling and discovery through large-scale deep learning. We aim to advance this frontier and to drive real-world impact at a global scale. The AI for Science team encompasses multiple disciplines across machine learning, engineering, and the natural sciences and spans several sites in Europe. The field of machine learning has evolved significantly in recent years, with many of the most impactful contributions coming from larger teams of people collaborating closely on well-defined and challenging goals. Furthermore, AI for Science in particular requires a combination of machine learning, engineering, and More ❯

in the EU Headquarters in Luxembourg (alternatively: Barcelona or Berlin or London), designed to maximize interaction with the team and stakeholders. Key job responsibilities Solve complex optimization and machine learning problems using scalable algorithmic techniques. Design and develop efficient research prototypes that address real-world problems in the massive logistics network of Amazon. Lead complex time-bound, long-term … in leadership to invest in programs of several hundreds millions euros every year. Above all, we are having fun solving real-world problems, in real-world speed, while failing & learning along the way. We use modular algorithmic designs in the domain of combinatorial optimization, solving complicated generalizations of core OR problems with the right level of decomposition, employing parallelization … and approximation algorithms. We use deep learning, bandits, and reinforcement learning to put data into the loop of decision making. We like to learn new techniques to surprise business stakeholders by making possible what they cannot anticipate. For this reason, we work closely with Amazon scholars and experts from Academic institutions. We code our prototypes to be More ❯

teams to conceive, develop, and execute on data science use-cases, build a roadmap to deliver the use-cases, from test and learn to scale up deployment Develop a deep understanding of the data, technical solutions and partner ecosystem, align R&D data science use cases with the key data sets and partners (internal and external) Champion, build and … sets, including EHR, claims, registry data, and images Experience with data science tools and statistical programming languages, including SQL, Python, R, and others Experience with defining use cases for deep learning, foundational models, machine learning and artificial intelligence in diagnostic medical imaging and digital health sensing data Ability to travel 25%, domestic and global Johnson & Johnson is More ❯

Job Overview: The mission of the Central Technology ML (CTML) team is to pioneer and implement the technology roadmap that paves the way for the future of machine learning computing on Arm architecture. We believe that innovative ML technology necessitates joint development across hardware, software, and ML algorithms. We will collaborate on what is the best way to balance … Proficient in computer architecture, basic knowledge of HW and SW design Developing and working with large software systems in programming languages like Python Knowledge of state-of-the-art deep learning libraries such as Tensorflow and Pytorch Training large deep learning models on powerful GPU-based systems, "Nice To Have" Skills and Experience: ML Model Optimization More ❯

Job Overview: The mission of Central Technology - Machine Learning (CT-ML) is to create technology to enable all ML Compute on ARM. We believe that advancing innovative machine learning (ML) technology requires a collaborative approach across hardware, software, and algorithms. The CT-ML Algorithms team acts as the Center of Excellence for ML content analysis, algorithm development, and … who: 3+ years experience in developing performance critical kernel on dedicated accelerator, GPU or CPU Graduate students in Computer Engineering, Electrical Engineering, Computer Science or other related technical fields Deep knowledge in machine learning, deep learning, and neural network design, optimization, and compression techniques Overall high-level knowledge of computer architecture, systems, and HW-SW co … design Ability to develop and work with large software systems in programming languages like Python Knowledge of cutting-edge deep learning libraries such as Tensorflow, and Pytorch Willing to learn and train large deep learning models on GPU-based systems Qualities that will help your application stand out: Experience with ML model design, optimization, and HW More ❯

Machine Learning Engineer, Photos (Storytelling) Cambridge, England, United Kingdom Machine Learning and AI Description In this role, you will be working on developing software that power Photos Apple Intelligence features on Apple platforms such as the iPhone, iPad, macOS, and the VisionPro.Candidates should have a proven track record that demonstrates innovation, strong collaboration, excellent interpersonal skills, and a …/Objective-C/Swift programming experience Exceptional problem-solving and interpersonal skills Proven ability to excel in a fast-paced development team Preferred Qualifications Experience in implementing Machine Learning, Deep Learning, and Knowledge Graph algorithms Experience optimizing Machine Learning and Deep Learning algorithms for embedded systems Experience designing and developing systems that are More ❯

An exciting opportunity has arisen for a Researcher in Computer Vision and Machine Learning to join a world-class AI research centre based in Cambridge. This permanent, full-time role is ideal for an ambitious researcher with a strong background in Computer Vision and Deep Learning who is looking to work on cutting-edge problems at the … ll have the chance to publish at top-tier conferences and shape the future of human-centric AI technologies. Key Responsibilities for a Researcher in Computer Vision and Machine Learning based in Cambridge: Conduct innovative, hands-on research in Computer Vision, Deep Learning, and Vision & Language. Publish research findings at top international conferences (CVPR, ICCV, ECCV, ICLR … models) Efficient architectures for deployment Model compression (quantization, distillation) Efficient adaptation of large models What We're Looking For: Proven research experience in Computer Vision and/or Machine Learning Strong knowledge of deep learning frameworks (e.G. PyTorch) A track record of publication in leading conferences/journals (CVPR, NeurIPS, ICML, etc.) Excellent communication and collaboration skills More ❯

Responsibilities Drive ML engineering strategy and implementation within an ambitious, high-impact, ML research agenda in the molecular sciences. Design, develop, and deploy data processing pipelines, machine learning models, and workflows. Collaborate with internal and external partners to deploy and evaluate models and workflows. Champion and coach the team in modern engineering practices. Prepare technical papers and presentations. Work … record in designing, developing, and deploying scientific ML systems with real-world impact. Experience working with cross-functional teams. Experience with major cloud platforms and/or HPC. Preferred: Deep learning experience. Experience with chemoinformatics and computational chemistry. Experience in real-world drug discovery. Proficiency with additional programming languages. Microsoft is an equal opportunity employer. All qualified applicants More ❯

vision requirements. What We Need From You: Experience deploying machine vision or image analysis systems in an industrial or research setting. Comfortable working with AI/ML platforms or deep learning vision tools Hands-on engineering experience with automation or robotics systems. Able to work on site, troubleshoot systems hands-on, and communicate clearly with operators and engineers. … up to 5 days. Company vehicle. Pension Scheme: Plan for the future with our company pension scheme. Peace of Mind: Feel secure with our death in service benefit. Continuous Learning: We'll cover your professional fees, supporting your career development. Smart Health: Access a 24/7 online GP, mental health support, and wellbeing services anytime. More ❯