126 to 150 of 398 Deep Learning Jobs in England

Machine Learning Engineer – Founding Team | Stealth AI Startup (Audio + Generative Models) Location: London (Hybrid) | Full-time | Competitive Salary + Equity A well-funded, early-stage startup backed by top-tier investors is seeking an ambitious Machine Learning Engineer to join as their first full-time ML hire . As a core member of the founding team, you … infrastructure for storing and transforming massive audio datasets. Apply ML audio and DSP techniques to clean, segment, and filter speech data. Manage large-scale cloud data storage with a deep understanding of cost-performance tradeoffs. Build scalable ML training pipelines in PyTorch using large datasets. Contribute to research and development of generative voice and speech-to-speech models. Prototype …/statistical approaches to enhance product capabilities. Develop robust testing pipelines to evaluate model performance on audio data. ✅ What We’re Looking For PhD in a relevant field (e.g., Deep Generative Models, TTS, ASR, NLU), or equivalent industry experience. Deep expertise in voice conversion, generative models, deep learning, or statistical modeling. Strong hands-on experience with More ❯

Research Engineer: Graph Machine Learning Atman Labs, London About Atman Labs At Atman Labs we are building software to emulate proactive human expertise. Emulating human experts with deep knowledge and proactive assistance has largely been impossible to do via standalone Artificial Intelligence techniques. As an applied research and commercialization company we are deploying our products in a number … of our approach - from proactive shopping assistance, to personal teachers to healthcare concierges - and with this commercial focus advance our unique research that lies at the intersection of Reinforcement Learning rewards, Large Scale Knowledge Representation, and Predictive Models inspired by biological priors. The Next Frontier of Machine Reasoning: Web-scale Knowledge Graph Exploration using Reinforcement Learning Human experts … explore structured mental models in their heads to solve open-ended problems across different domains. Our research seeks to emulate this process through a novel combination of using reinforcement learning agents to perform exploration through a knowledge graph. Knowledge graphs allow us to represent structured information and the logical relations that govern it, unlocking the ability to build reinforcement More ❯

leader in advanced computing, with a dedicated research team focused on applying artificial intelligence to next-generation semiconductor design and optimization. Role Overview: We're seeking a motivated Machine Learning Researcher with a strong background in machine learning, AI, or related fields. You’ll contribute to innovative projects in areas such as large language models (LLMs), reinforcement learning … and contribute to open research Requirements: PhD or equivalent experience in ML, AI, CS, physics, or mathematics Strong publication record (NeurIPS, ICML, ICLR, etc.) Proficient in Python, C++, and deep learning frameworks (e.g., PyTorch, TensorFlow) Solid grasp of ML techniques; independent and team-oriented mindse Preferred: Experience in LLMs, reinforcement learning, or chip design Familiarity with JAX More ❯

leader in advanced computing, with a dedicated research team focused on applying artificial intelligence to next-generation semiconductor design and optimization. Role Overview: We're seeking a motivated Machine Learning Researcher with a strong background in machine learning, AI, or related fields. You’ll contribute to innovative projects in areas such as large language models (LLMs), reinforcement learning … and contribute to open research Requirements: PhD or equivalent experience in ML, AI, CS, physics, or mathematics Strong publication record (NeurIPS, ICML, ICLR, etc.) Proficient in Python, C++, and deep learning frameworks (e.g., PyTorch, TensorFlow) Solid grasp of ML techniques; independent and team-oriented mindse Preferred: Experience in LLMs, reinforcement learning, or chip design Familiarity with JAX 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 ❯

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 ❯

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 Engineer London (Hybrid) Up to £65,000 Greenfield work One of La Fosse’s best clients are currently seeking a talented ML Engineer for their greenfield AI team. Join a cutting-edge innovation department within a fast-paced financial environment, helping to shape the next generation of intelligent compliance tools. I’m looking for a Machine Learning … model development and GenAI summarisation pipelines to MLOps and multi-agent systems—with real-world impact on financial security and compliance. What You’ll Do: Develop and deploy machine learning models for anti-money laundering and counter-terrorist financing. Contribute to dynamic monitoring systems using tools like TensorFlow, OpenAI, and LangChain. Help design GenAI pipelines and consensus mechanisms across … . Requirements: 1–3 years of experience in ML or AI Proficiency in Python, SQL, cloud platforms (Azure), and modern ML frameworks (TensorFlow, PyTorch). Familiarity with generative AI, deep learning, and the full development lifecycle. A proactive mindset and strong interest in innovative technologies. Why Join? Be part of a greenfield AI initiative with high visibility Work More ❯

Machine Learning Engineer London (Hybrid) Up to £65,000 Greenfield work One of La Fosse’s best clients are currently seeking a talented ML Engineer for their greenfield AI team. Join a cutting-edge innovation department within a fast-paced financial environment, helping to shape the next generation of intelligent compliance tools. I’m looking for a Machine Learning … model development and GenAI summarisation pipelines to MLOps and multi-agent systems—with real-world impact on financial security and compliance. What You’ll Do: Develop and deploy machine learning models for anti-money laundering and counter-terrorist financing. Contribute to dynamic monitoring systems using tools like TensorFlow, OpenAI, and LangChain. Help design GenAI pipelines and consensus mechanisms across … . Requirements: 1–3 years of experience in ML or AI Proficiency in Python, SQL, cloud platforms (Azure), and modern ML frameworks (TensorFlow, PyTorch). Familiarity with generative AI, deep learning, and the full development lifecycle. A proactive mindset and strong interest in innovative technologies. Why Join? Be part of a greenfield AI initiative with high visibility Work 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 ❯

dialogue. This unique position of daily directed guidance stands to redefine primary care while helping people live happier, healthier, and longer. Job Summary: We're looking for a Machine Learning Engineer with a passion for developing impactful healthcare solutions using wearable data. You'll play a key role in building real-time, FDA-compliant algorithms that analyze continuous physiological … and help bring clinically validated, regulatory-ready ML solutions to market. Location: Remote/Hybrid/USA-SF, USA-remote, UK-London, UK-remote Responsibilities: Design and implement machine learning models for real-time analysis of wearable biosignal data (e.g., ECG, PPG, accelerometer). Develop algorithms that meet clinical-grade performance standards for use in regulated environments. Preprocess and … performance metrics like sensitivity, specificity, ROC-AUC, and precision-recall. Contribute to technical documentation and regulatory submissions for medical-grade software. Requirements/Qualifications: MS or PhD in Machine Learning, Biomedical Engineering, Computer Science, or a related field. 3-5+ years of experience applying machine learning to time-series or physiological data. Strong foundation in signal processing More ❯

doers across NYC, LDN, TLV, and other locations, where 2 of every 3 managers were promoted from within. Growing your career with Optimove is basically guaranteed. As a Machine Learning Engineer, you will be working within our Personalization team, helping to shape and drive the development of numerous products and initiatives that allow our customers to personalise messages across … multi-modal data such as images, text, and more, leveraging cutting-edge technologies including Large Language Models (LLMs). This is an exciting opportunity at the forefront of machine learning, helping to bring Accessible Intelligence to our customers with great scope to make a key difference across both OptiX and Optimove's overall platforms. We are looking for an … experienced Machine Learning Engineer to work on incredibly interesting projects as we take our personalization capabilities to the next level. You will focus on developing and advancing ML/AI across our platforms, researching and investigating new machine learning applications within the company, and improving pre-existing models. Role & Core Responsibilities Own the model development and release process More ❯

Team: Tech Hours: Full time Reports to: Defect Detection Team Lead Location: Exeter or Bristol, minimum of 3 days in the office. Role Overview: As a Machine Learning Engineer at DeGould you will be responsible for building and maintaining our labelling, training and production inference data pipelines to produce high quality datasets, models and services to power our automated … Vision: DeGould's vision is to be the standard for new vehicle inspection in the automotive sector. Key Responsibilities: The main deliverables of the role are: Deliver performant machine learning models for customers. Building capabilities to monitor and evaluate model performance and metrics. Detailed duties of the role include: Write production, robust, readable and extendable code to support machine … learning pipelines. Use industry best practices and seek to implement improvements across the machine learning lifecycle. Continuous evaluation of models in production and system performance analysis. Proactively seek technical solutions that solve customer problems. Stay up to date and evaluate opportunities to apply the latest tools, research, methods and technologies. Work across multidisciplinary teams to deliver against the More ❯

a blend of working from home and our offices, located in London, Southampton & Yeovil. Talk to us about how we can best support you! We are looking for Machine Learning Engineers at Senior and Mid Level to join our growing team, to develop and deploy core ML/AI algorithms required to tackle data science challenges across Kingfisher Group. … code and carrying out automated builds and deployments, working closely with colleagues in the Data Science team as well as stakeholders across the business. Responsibilities Develop high-quality machine learning models to solve business challenges Develop production quality code and carry out basic automated builds and deployments Write comprehensive, well-written documentation that meets our needs Identify work and … on multiple data science projects and manage deliverables Qualifications Solid understanding of computer science fundamentals, including data structures, algorithms, data modelling, and software architecture Solid understanding of classical Machine Learning algorithms (e.g., Logistic Regression, Random Forest, XGBoost, etc.), state-of-the-art research areas (e.g., NLP, Transfer Learning, etc.), and modern Deep Learning algorithms (e.g., BERT More ❯

and taking brands direct-to-consumer. Our client portfolio includes globally recognised brands such as Coca-Cola, Nestle, Elemis, Homebase, and Proctor & Gamble. About the Role As a Machine Learning Engineer you will be involved in research and development of advanced Machine Learning algorithms at THG. Your focus will be researching state-of-the-art AI technologies and … deep learning algorithms to provide practical solutions to the rest of the business. You will be strong in software engineering and have a track record of building production quality systems. You will also provide technical support to the team and the larger THG Data community with regards to data solution design and engineering, implementation of algorithms and experimentations … where you will write code, analyse and cleanse data and provide robust solutions to real business problems using the Data at your disposal. Key Responsibilities: Lead and deliver machine learning projects end- to- end from scoping to deployment ensuring alignment with business needs and timelines. Build and deploy high- quality, production- strength ML models and systems, including batch jobs More ❯

the Role: We are seeking a visionary Senior Manager, Engineering to lead our cutting-edge AI and Large Language Model (LLM) development teams. The ideal candidate will have a deep understanding of machine learning, natural language processing, and the latest advancements in AI technologies. Key Responsibilities: Lead and mentor a team of highly skilled ML engineers and researchers … resources, and budgets effectively Stay abreast of the latest AI research and industry trends Contribute to the company's AI strategy and roadmap Foster a culture of innovation, continuous learning, and ethical AI development Requirements Qualification : MS or PhD in Computer Science, Machine Learning, or a related field 7+ years of experience in AI/ML engineering, with … at least 3 years in a leadership role Proven track record of successfully delivering complex AI projects Deep expertise in machine learning, deep learning, and natural language processing Hands-on experience with LLM architectures (e.g., Transformer-based models) Strong programming skills in Python and familiarity with ML frameworks (e.g., PyTorch, TensorFlow) Experience with large-scale distributed More ❯

the Role: We are seeking a visionary Senior Manager, Engineering to lead our cutting-edge AI and Large Language Model (LLM) development teams. The ideal candidate will have a deep understanding of machine learning, natural language processing, and the latest advancements in AI technologies. Key Responsibilities: Lead and mentor a team of highly skilled ML engineers and researchers … resources, and budgets effectively Stay abreast of the latest AI research and industry trends Contribute to the company's AI strategy and roadmap Foster a culture of innovation, continuous learning, and ethical AI development Requirements Qualification : MS or PhD in Computer Science, Machine Learning, or a related field 7+ years of experience in AI/ML engineering, with … at least 3 years in a leadership role Proven track record of successfully delivering complex AI projects Deep expertise in machine learning, deep learning, and natural language processing Hands-on experience with LLM architectures (e.g., Transformer-based models) Strong programming skills in Python and familiarity with ML frameworks (e.g., PyTorch, TensorFlow) Experience with large-scale distributed More ❯

ID: Evi Technologies Limited The Alexa Conversational Modelling and Intelligence org in UK is looking for a Senior Applied Scientist with a background in Natural Language Processing, Machine/Deep Learning, and Large Language Models (LLMs). You will be working with a team of applied and research scientists to enhance existing features and explore new possibilities with … external publications. You will mentor and guide junior scientists and contribute to the overall growth and development of the team. BASIC QUALIFICATIONS - PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field - Experience with neural deep learning methods and machine learning - Experience in building machine learning models for More ❯

Clearance Junior to Lead levels available £45k to £95k DoE plus 15% clearance bonus Must be willing to be full-time on-site in Cheltenham Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance for a prestigious client … to develop your skillset and personal profile in an inclusive culture. What will the Data Scientist be doing? Our client is seeking individuals with strong technical expertise in machine learning, GenAI, computer vision, and data science, alongside solid skills in solution architecture and software engineering to design and scale impactful solutions. This role involves working closely with clients to … also opportunities to publish whitepapers and represent the organisation at conferences, all within an inclusive and diverse working environment. Key Skills and Requirements Proficient in AI techniques including machine learning, GenAI, NLP, deep learning, graph analytics, and time series analysis. Strong communicator with the ability to simplify complex concepts, manage stakeholders, and motivate/lead Agile teams More ❯

PhysicsX is a deep-tech company of scientists and engineers, developing machine learning applications to massively accelerate physics simulations and enable a new frontier of optimisation opportunities in design and engineering. Born out of numerical physics and proven in Formula One, we help our customers radically improve their concepts and designs, transform their engineering processes and drive operational … recruiting for multiple positions, however please only apply for the role that best aligns with your skillset and career goals. What you will do Work closely with our machine learning engineers, simulation engineers, and customers to translate physics and engineering challenges into mathematical problem formulations. Build models to predict the behaviour of physical systems using state-of-the-art … machine learning and deep learning techniques. Own research work-streams at different levels, depending on seniority. Discuss the results and implications of your work with colleagues and customers, especially how these results can address real-world problems. Collaborate with colleagues beyond the research team to translate your models into production-ready code. Communicate your work to others More ❯

drive model improvements, uncover key insights, and shape the future of our products, including the state-of-the-art Ultralytics YOLO models and Ultralytics HUB. Key responsibilities include: Performing deep statistical analysis on model performance across various benchmarks and datasets to identify areas for improvement. Designing and implementing advanced data augmentation strategies to enhance model robustness and generalization. Analyzing … key performance metrics to stakeholders. Automating data analysis and reporting workflows using Python scripting and CI/CD tools like GitHub Actions. Staying current with the latest research in deep learning and statistical analysis to drive innovation. Your analytical rigor will be critical to advancing Ultralytics' mission to make AI easy and accessible for everyone. 🛠️ Skills and Experience … or analytics role, preferably within the AI/ML industry. Expert-level proficiency in Python and extensive experience with data science libraries such as Pandas, NumPy, and Scikit-learn. Deep hands-on experience with deep learning frameworks, particularly PyTorch . Proven experience with statistical analysis , hypothesis testing, and data visualization techniques. Familiarity with computer vision tasks and More ❯

drive model improvements, uncover key insights, and shape the future of our products, including the state-of-the-art Ultralytics YOLO models and Ultralytics HUB. Key responsibilities include: Performing deep statistical analysis on model performance across various benchmarks and datasets to identify areas for improvement. Designing and implementing advanced data augmentation strategies to enhance model robustness and generalization. Analyzing … key performance metrics to stakeholders. Automating data analysis and reporting workflows using Python scripting and CI/CD tools like GitHub Actions. Staying current with the latest research in deep learning and statistical analysis to drive innovation. Your analytical rigor will be critical to advancing Ultralytics' mission to make AI easy and accessible for everyone. 🛠️ Skills and Experience … or analytics role, preferably within the AI/ML industry. Expert-level proficiency in Python and extensive experience with data science libraries such as Pandas, NumPy, and Scikit-learn. Deep hands-on experience with deep learning frameworks, particularly PyTorch . Proven experience with statistical analysis , hypothesis testing, and data visualization techniques. Familiarity with computer vision tasks and More ❯

Job ID: Amazon Development Center (Tel Aviv) Are you a scientist interested in pushing the state of the art in machine learning and recommendation systems? Are you interested in working on novel ideas that can positively impact millions of customers? Do you wish you had access to large datasets and tremendous computational resources? Answer yes to any of these … be a great fit for our team at Amazon. Our team is part of Amazon's Personalization organization, a high-performing group that leverages Amazon's expertise in machine learning, big data, distributed systems, and user experience design to deliver the best shopping experiences for our customers. Our team builds large-scale machine-learning solutions that delight customers … As a Senior Applied Scientist in our team, you will lead the research, design, and development of new AI technologies for personalization. You will adopt or invent new machine learning and analytical techniques in the realm of recommendations and large language models. You will collaborate with scientists, engineers, and product partners locally and abroad. Your work will include inventing More ❯

publishers; and extends across US, EU and an increasing number of international geographies. We are looking for a dynamic, innovative, and accomplished Senior Applied Scientist to work on machine learning initiatives that power our brand safety solutions. The role requires developing and fine-tuning Large Language Models at scale, designing content filtering systems, implementing alignment techniques, and creating robust … path forward for success of how we evolve our Brand Safety solutions. You will get an opportunity to act as a thought leader, work backwards from customer needs, dive deep into data to understand the issues, conceptualize and build algorithms, and collaborate with multiple cross-functional teams. Key job responsibilities Design, prototype and test many possible hypotheses in a … classification, traffic quality prediction (robot and fraud detection), Security forensics and research, Viewability prediction, Brand Safety and experimentation. Our team includes experts in the areas of distributed computing, machine learning, statistics, optimization, text mining, information theory and big data systems. BASIC QUALIFICATIONS - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods More ❯

AI era, with research outputs expected to be published in top conferences and contribute to Fujitsu’s business advancements. Mentoring interns and junior researchers to foster a culture of learning and innovation. Your Transferable Skills and Experience To be suitable for this opportunity, you will be pro-active in your approach, adaptable and able to demonstrate that you have … a strong research track record, including publications in top-tier conferences and journals. A passion for software engineering with the ability to write clean code. Proven expertise in machine learning, deep learning and AI, particularly in LLM and RAG technologies, with knowledge of LLM Agents, explainable AI and/or graph ML as a plus. Proficiency in More ❯