226 to 250 of 407 Deep Learning Jobs in England

New hybrid Machine Learning Engineer job based in Cambridge, Cambridgeshire! We’re looking for a talented Machine Learning Engineer to join a cutting-edge team based in Cambridge, Cambridgeshire developing real-world AI solutions - including ultra-low-latency speech recognition and large-scale foundation models. Key responsibilities and requirements for the Machine Learning Engineer job: Train and … Enhance speech features (diarization, multilingual, keyword boosting) Scale training workflows across multi-GPU systems Apply and influence the latest ML research Key skills/experience required for the Machine Learning Engineer job: MSc/PhD in a relevant field with strong ML/deep learning foundations Hands-on experience with PyTorch or TensorFlow Expertise in model training … at scale and GPU systems Knowledge of model compression and optimization techniques A background in speech recognition would be beneficial This is a great opportunity for a Machine Learning Engineer to join a passionate team of engineers developing ML systems that perform at scale and speed in Cambridge, Cambridgeshire. Candidates must live within 1 hour of Cambridge and be More ❯

and deeply engaging pursuit. Mentorship: Collaborate with experienced researchers and engineers on innovative AI projects Research Focus: Engage in areas such as large language models (LLMs), optimization methods for deep learning, reinforcement learning (RL), and generative models Professional Development: Gain hands-on experience in AI research with real-world applications, contributing to both academic publications and product … Collaboration: Collaborate with leading universities and contribute to the broader scientific community Benefit from a hybrid work model, combining remote and on-site collaboration Conduct innovative research in machine learning and artificial intelligence Collaborate with cross-functional teams to integrate AI solutions Publish research findings in top-tier conferences and journals Stay up to date with the latest advancements … in AI and related fields PhD in Machine Learning, Artificial Intelligence, Mathematics, Computer Science, Physics, or a related field Proficiency in programming languages such as Python, C++, or similar Experience in optimization, reinforcement learning, and/or large language models (LLMs) Work on groundbreaking AI research with real-world applications and a strong commitment to open-source contributions More ❯

About Us Axelera AI is not your regular deep-tech startup. We are creating the next-generation AI platform to support anyone who wants to help advancing humanity and improve the world around us. In just three years, we have raised a total of $120 million and have built a world-class team of 180+ employees (including 55+ PhDs … Are you up for the challenge? Position Overview As a Distinguished Engineer at Axelera AI, you will play a pivotal role in shaping the company's AI and machine learning strategy with a long-term, industry-leading perspective. You will work cross-functionally to develop transformative AI technologies, influencing company-wide initiatives, and setting new standards for engineering excellence. … innovation and calculated risk-taking. Model a standard of excellence, accountability, and leadership that inspires teams and influences company-wide culture and strategy. Qualifications: PhD in Computer Science, Machine Learning, Artificial Intelligence, or related fields. 10+ years of post-PhD experience in AI/ML research and development, with a track record of leading large-scale projects and driving More ❯

backed by 8VC + Mosaic, 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 the tradeoffs between latency and accuracy on the end customer use case. Integrate the model … applied to video security use 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, reading research papers, and familiarity More ❯

endeavour to identify non-human 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 industry leading traffic filtering leveraging GenAI and state-of-the-art deep learning techniques. Our systems … preserve advertiser trust and saves them hundreds of millions of dollars of wasted spend. A Data Scientist is responsible for delivering deep data-driven analyses with insights that drive the business. They would use a combination of analytics, data visualization and machine learning to identify gaps in current solutions as well as prototype new algorithms that close the More ❯

a key player in developing innovative solutions to enhance video streaming experiences. In this role, you'll build algorithms that detect and correct video defects using cutting-edge machine learning and computer vision techniques, ensuring high-quality video is delivered to millions of users across the globe. You'll be part of a dynamic team that is driving the … next generation of video quality analysis. What you will do: As a Software Development Engineer specializing in Video Quality Analysis, you will create and optimize systems that use deep learning and computer vision to detect and improve video quality. You'll work on developing scalable, real-time solutions that automatically identify defects in video streams, ensuring the best … with cross-functional teams to design, implement, and optimize algorithms for real-time video quality analysis and defect detection, using programming languages such as Java , C++ , or C# . Deep Learning & Computer Vision : Develop and refine deep learning models and computer vision techniques to assess and improve video content quality, ensuring they scale efficiently in large More ❯

a climate tech start-up on a mission to drive circularity in the fashion and textile industry. We are pioneering AI-powered textile waste sorting, combining machine vision and deep learning to optimise the availability of textiles for closed-loop recycling. We have an established machine learning pipeline for textile and fibre detection and are currently refining … our system ready for piloting and deployment. This role is a unique opportunity for engineers who are passionate about AI, sustainability, and solving complex problems, with experience in deep tech integration. Support integration of machine learning models with imaging hardware and Edge processing. Work on automation aspects of the textile sorting system. Conduct real world testing and refine … product, while developing and driving strategy in your area. Excellent written and verbal communication skills in English. Master s in a relevant field. Experience with computer vision and machine learning models. Experience with JavaScript and MySQL is a plus. Contribute to cutting edge research and development in machine vision and AI. Opportunity to shape a real world game changing More ❯

and post processing. Mentor and work with junior scientists to research and deliver innovative technologies that utilize every bit of signal in the data. Participate in hands-on machine learning research and deliver the results of the research in the form of new products. Communicate technical vision and roadmap at multiple levels within the organisation and externally. Publish research … results in national and international conferences and scientific journals. Represent Entrust at national and international scientific conferences. Contribute to filing patents. Essential Skills: Strong experience in machine learning and computer vision, including industry experience deploying ML models to production. Track record of successfully delivering high performance ML-driven products. Worked with customers to impactfully solve their problems. Deep understanding of machine learning theory. Strong coding skills in Python and hands on experience using at least one of the deep learning frameworks Tensorflow or PyTorch. Desirable Skills: Technical experience in uncertainty modelling, explainable machine learning techniques, out-of-distribution detection, life-long learning, and related fields. Technical experience with signal processing and image More ❯

and post processing. Mentor and work with junior scientists to research and deliver innovative technologies that utilize every bit of signal in the data. Participate in hands-on machine learning research and deliver the results of the research in the form of new products. Communicate technical vision and roadmap at multiple levels within the organisation and externally. Publish research … results in national and international conferences and scientific journals. Represent Entrust at national and international scientific conferences. Contribute to filing patents. Essential Skills: Strong experience in machine learning and computer vision, including industry experience deploying ML models to production. Track record of successfully delivering high performance ML-driven products. Worked with customers to impactfully solve their problems. Deep understanding of machine learning theory. Strong coding skills in Python and hands on experience using at least one of the deep learning frameworks Tensorflow or PyTorch. Desirable Skills: Technical experience in uncertainty modelling, explainable machine learning techniques, out-of-distribution detection, life-long learning, and related fields. Technical experience with signal processing and image More ❯

and post processing. Mentor and work with junior scientists to research and deliver innovative technologies that utilize every bit of signal in the data. Participate in hands-on machine learning research and deliver the results of the research in the form of new products. Communicate technical vision and roadmap at multiple levels within the organisation and externally. Publish research … results in national and international conferences and scientific journals. Represent Entrust at national and international scientific conferences. Contribute to filing patents. Essential Skills: Strong experience in machine learning and computer vision, including industry experience deploying ML models to production. Track record of successfully delivering high performance ML-driven products. Worked with customers to impactfully solve their problems. Deep understanding of machine learning theory. Strong coding skills in Python and hands on experience using at least one of the deep learning frameworks Tensorflow or PyTorch. Desirable Skills: Technical experience in uncertainty modelling, explainable machine learning techniques, out-of-distribution detection, life-long learning, and related fields. Technical experience with signal processing and image More ❯

of GPU, AI accelerator, and optical computing trends; propose and prototype innovations. Skills & Experience 5+ years of experience in software engineering with a focus on C/C++ programming. Deep expertise in ML framework internals, compilers, low-level programming, and optimisation techniques. Deep expertise in optimising Tensorflow, PyTorch or JAX deep learning models. Deep expertise … with multiple toolchains like LLVM, OpenXLA/XLA, MLIR, TVM. Practical experience applying machine learning in high-performance computing contexts. Strong problem-solving skills and the ability to think critically and creatively. Experience in high-pace, dynamic work environments. Excellent teamwork and communication skills, with the ability to collaborate effectively with cross-functional teams. Bachelor's degree in computer More ❯

of GPU, AI accelerator, and optical computing trends; propose and prototype innovations. Skills & Experience 5+ years of experience in software engineering with a focus on C/C++ programming. Deep expertise in ML framework internals, compilers, low-level programming, and optimisation techniques. Deep expertise in optimising Tensorflow, PyTorch or JAX deep learning models. Deep expertise … with multiple toolchains like LLVM, OpenXLA/XLA, MLIR, TVM. Practical experience applying machine learning in high-performance computing contexts. Strong problem-solving skills and the ability to think critically and creatively. Experience in high-pace, dynamic work environments. Excellent teamwork and communication skills, with the ability to collaborate effectively with cross-functional teams. Bachelor's degree in computer More ❯

of GPU, AI accelerator, and optical computing trends; propose and prototype innovations. Skills & Experience 5+ years of experience in software engineering with a focus on C/C++ programming. Deep expertise in ML framework internals, compilers, low-level programming, and optimisation techniques. Deep expertise in optimising Tensorflow, PyTorch or JAX deep learning models. Deep expertise … with multiple toolchains like LLVM, OpenXLA/XLA, MLIR, TVM. Practical experience applying machine learning in high-performance computing contexts. Strong problem-solving skills and the ability to think critically and creatively. Experience in high-pace, dynamic work environments. Excellent teamwork and communication skills, with the ability to collaborate effectively with cross-functional teams. Bachelor's degree in computer More ❯

AI agents. Building on the 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 into network-wide intelligence, similar … crucial for accelerating collective intelligence 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 economy where AI systems discover … key decisions on technology stacks, 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 product development. Collaborating closely with More ❯

Strong command of Python and related frameworks and libraries with good experience of at least one other language (C++, Java, Julia, R, Matlab, JS frameworks) Excellent understanding of machine learning theory and related mathematical principles Practical MLOps experience of training and tuning deep learning models and evaluating performance (e.g working with PyTorch to build deep learning … well as model API integration Experience across a range of deployment environments including public cloud and high-performance computing clusters Practical experience creating user-friendly interfaces for applied machine learning applications What will you receive? At the Francis Crick Institute, we value our team members and are proud to offer an extensive range of benefits to support their well More ❯

Strong command of Python and related frameworks and libraries with good experience of at least one other language (C++, Java, Julia, R, Matlab, JS frameworks) Excellent understanding of machine learning theory and related mathematical principles Practical MLOps experience of training and tuning deep learning models and evaluating performance (e.g working with PyTorch to build deep learning … well as model API integration Experience across a range of deployment environments including public cloud and high-performance computing clusters Practical experience creating user-friendly interfaces for applied machine learning applications What will you receive? At the Francis Crick Institute, we value our team members and are proud to offer an extensive range of benefits to support their well More ❯

a climate tech start-up on a mission to drive circularity in the fashion and textile industry. We are pioneering AI-powered textile waste sorting, combining machine vision and deep learning to optimise the availability of textiles for closed-loop recycling. We have an established machine learning pipeline for textile and fibre detection and are currently refining … our system ready for piloting and deployment. This role is a unique opportunity for engineers who are passionate about AI, sustainability, and solving complex problems, with experience in deep tech integration. We are seeking individuals who are excited about working in an early stage startup environment, where resilience and problem solving are key and where challenges are seen as … and optimise imaging hardware, including illumination systems, hyperspectral near-infrared (NIR) and RGB cameras. Design and prototype cost-effective and scalable vision hardware system solutions. Support integration of machine learning models with imaging hardware and Edge processing. Work on automation aspects of the textile sorting system. Conduct real world testing and refine hardware build and hardware/software integration. More ❯

a climate tech start-up on a mission to drive circularity in the fashion and textile industry. We are pioneering AI-powered textile waste sorting, combining machine vision and deep learning to optimise the availability of textiles for closed-loop recycling. We have an established machine learning pipeline for textile and fibre detection and are currently refining … our system ready for piloting and deployment. This role is a unique opportunity for engineers who are passionate about AI, sustainability, and solving complex problems, with experience in deep tech integration. We are seeking individuals who are excited about working in an early stage startup environment, where resilience and problem solving are key and where challenges are seen as … and optimise imaging hardware, including illumination systems, hyperspectral near-infrared (NIR) and RGB cameras. Design and prototype cost-effective and scalable vision hardware system solutions. Support integration of machine learning models with imaging hardware and Edge processing. Work on automation aspects of the textile sorting system. Conduct real world testing and refine hardware build and hardware/software integration. More ❯

a climate tech start-up on a mission to drive circularity in the fashion and textile industry. We are pioneering AI-powered textile waste sorting, combining machine vision and deep learning to optimise the availability of textiles for closed-loop recycling. We have an established machine learning pipeline for textile and fibre detection and are currently refining … our system ready for piloting and deployment. This role is a unique opportunity for engineers who are passionate about AI, sustainability, and solving complex problems, with experience in deep tech integration. We are seeking individuals who are excited about working in an early stage startup environment, where resilience and problem solving are key and where challenges are seen as … and optimise imaging hardware, including illumination systems, hyperspectral near-infrared (NIR) and RGB cameras. Design and prototype cost-effective and scalable vision hardware system solutions. Support integration of machine learning models with imaging hardware and Edge processing. Work on automation aspects of the textile sorting system. Conduct real world testing and refine hardware build and hardware/software integration. More ❯

diverse, geo-distributed facilities. Tether Data: Our solutions like KEET enhance AI and peer-to-peer technology, reducing infrastructure costs and improving global communication. Tether Education : We democratize digital learning, empowering individuals in the digital and gig economies. Tether Evolution : We push technological and human potential boundaries to craft a future of unprecedented innovation. Why Join Us? Our remote … hardware to large-scale applications, using GGML as a multiplatform inference backend. Our remote team is committed to advancing AI technology and making it broadly accessible. Responsibilities: Deploy machine learning models on edge devices using llama.cpp, ggml, onnx frameworks. Collaborate with researchers to code, train, and transition models to production. Integrate AI features into existing products, leveraging latest ML … advancements. Requirements: Proficiency in Python, C, and C++ programming. Experience with Llama.cpp and ggml inference engines, especially for GPU deployment. Understanding of deep learning concepts and architectures. Experience with transformers and LLMs. Adept at learning new technologies rapidly. Degree in Computer Science, AI, or related fields, with proven AI R&D experience. More ❯

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 state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning PREFERRED QUALIFICATIONS - Experience in patents or publications at top-tier peer-reviewed conferences More ❯

our team and collaborate with world class engineers, data scientists, and researchers to shape the future of secure authentication. What you will be doing: Participate in hands-on machine learning research and deliver the results of the research in the form of new products. Communicate your results to the Science team, Engineering and Product teams Participate in the machine … learning life of the team (reading groups, etc.) Learn best machine learning practices from a team of senior applied scientists Essential Skills: Formal training in machine learning and computer vision Coding experience in python Experience working with at least one deep learning framework (pytorch or tensorflow) A strong willingness to learn Highly collaborative mindset A … Free mental health coaching provided online Life enrichment allowance of up to £80 per month to use for services including gym, yoga, fitness classes, massages, childcare, and therapy Dedicated learning opportunities including using tools like Learnerbly with availability to use for learning resources such as books, coaches, conferences, courses, podcasts, and more Our open and transparent culture is More ❯

our team and collaborate with world class engineers, data scientists, and researchers to shape the future of secure authentication. What you will be doing: Participate in hands-on machine learning research and deliver the results of the research in the form of new products. Communicate your results to the Science team, Engineering and Product teams Participate in the machine … learning life of the team (reading groups, etc.) Learn best machine learning practices from a team of senior applied scientists Essential Skills: Formal training in machine learning and computer vision Coding experience in python Experience working with at least one deep learning framework (pytorch or tensorflow) A strong willingness to learn Highly collaborative mindset A … Free mental health coaching provided online Life enrichment allowance of up to £80 per month to use for services including gym, yoga, fitness classes, massages, childcare, and therapy Dedicated learning opportunities including using tools like Learnerbly with availability to use for learning resources such as books, coaches, conferences, courses, podcasts, and more Our open and transparent culture is More ❯

our team and collaborate with world class engineers, data scientists, and researchers to shape the future of secure authentication. What you will be doing: Participate in hands-on machine learning research and deliver the results of the research in the form of new products. Communicate your results to the Science team, Engineering and Product teams Participate in the machine … learning life of the team (reading groups, etc.) Learn best machine learning practices from a team of senior applied scientists Essential Skills: Formal training in machine learning and computer vision Coding experience in python Experience working with at least one deep learning framework (pytorch or tensorflow) A strong willingness to learn Highly collaborative mindset A … Free mental health coaching provided online Life enrichment allowance of up to £80 per month to use for services including gym, yoga, fitness classes, massages, childcare, and therapy Dedicated learning opportunities including using tools like Learnerbly with availability to use for learning resources such as books, coaches, conferences, courses, podcasts, and more Our open and transparent culture is More ❯

the next generation of applications. 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 other top Bay Area leaders … tool in the market by our customers. The Role As a Human Data Operations Strategist, you will play a critical role in managing and optimizing data annotation and machine learning workflows for our clients. You will work closely with cross-functional teams, including clients, annotation specialists, and machine learning engineers, to ensure high-quality data is available for … is perfect for individuals with a passion for AI, data operations, and solving real-world problems. Your Responsibilities: Project Leadership - Oversee data annotation projects, translating complex AI and machine learning requirements into clear workflows and instructions for data annotation teams. Data Quality Optimization - Ensure the highest standards of data quality by designing and refining annotation processes, auditing results, and. More ❯