26 to 50 of 276 Deep Learning Jobs in the UK

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 Graphcores technology. We seek engineers with strong … If you're excited about advancing the next generation of AI models on cutting-edge hardware, wed 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 ❯

AI content. We are looking for a Gen AI Researcher for Audio to join our team and help develop next-generation voice synthesis models. You'll research and build deep learning systems that can generate expressive, natural-sounding speech from text or audio prompts, and collaborate with cross-functional teams to integrate your work into production-ready pipelines. … We are looking for a Senior Machine Learning Engineer to join our team and help build state-of-the-art generative systems for video and audio synthesis, performance transfer, and visual translation. This role is hands-on and technical, requiring experience in training and deploying deep learning models, a solid engineering mindset, and the ability to work … in production environments. Must Haves 5+ years of experience in software engineering and machine learning. Proven track record of deploying ML systems in production. A strong understanding of Machine Learning fundamentals. Strong experience with deep learning frameworks such as PyTorch or TensorFlow. Experience with training diffusion, transformer, or generative video models. Proficiency in Python. Experience building and More ❯

play, and learn. No matter where you are or how you express yourself, it's always the fastest way to share a moment! We're looking for a Machine Learning Engineer to join the Generative ML Platform team at Snap Inc! What you'll do: Develop ML-tools and ML-products that serve millions of Snapchatters on a daily … art GenAI pipelines for image and video generation Work closely with other Snap teams to introduce, prototype and launch new products Knowledge, Skills & Abilities: A proven passion for machine learning; you stay up-to-date with research and are excited about prototyping new ideas quickly Knowledge of mathematics and deep learning foundations Ability to effectively collaborate with … experience 1+ years of research or engineering experience in one or more of the following: neural rendering, generative models, segmentation, object detection, classification, tracking, or other related applications of deep learning Experience with the major deep learning frameworks: PyTorch or TensorFlow Strong programming skills in Python or C++ Preferred Qualifications: Experience developing real-time software for More ❯

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

seeking Applied Research Scientists with expertise in RNA modeling, RNA optimization, or RNA design to join our world-class, multi-disciplinary team. This role sits at the intersection of deep scientific research and practical product development, aimed at building cutting-edge biological AI models and deploying them to researchers advancing the life sciences. Applied Research Scientists at InstaDeep leverage … their deep expertise in scientific principles, artificial intelligence, and computational biology to create more accurate, efficient, and scalable tools that enhance our understanding of biology and accelerate the development of medical treatments, including RNA therapeutics. This position demands close collaboration across AI research, biology, engineering, and business teams, as well as with strategic partners like BioNTech. Success in this … design, optimisation and modelling. Design, implement, and evaluate proof-of-concept methods and benchmarking experiments using state-of-the-art approaches. Leverage both classical computational biology tools and modern deep learning approaches for tasks such as RNA design, optimization, and molecular modeling. Enhance the understanding of AI model behavior in biological applications by contributing to interpretability and performance More ❯

Rivos is developing optimized Deep Learning operators for its SIMT (Single Instruction Multiple Threads) machine, providing optimal use of the compute units the HW exposes. You will contribute to development and optimization of many operators used for both training and inference of Deep Neural Networks. In this process you will be able to influence the architectural decision … will be contributing extensively to all the other parts of the solution: client software, compiler, runtime, simulator to help define the next generations of our solution. Responsibilities As a Deep Learning Libraries engineer, you will own or participate in the following design and implement critical parts of the DL operators libraries, including kernels used by PyTorch contribute to More ❯

an AI Engineer, you will be responsible for developing, deploying, and optimizing AI models while collaborating with data scientists and software engineers. You will work with technologies such as deep learning, embeddings, vector search, and Generative AI to build robust AI-powered solutions. Key Responsibilities: Develop and optimize AI/ML models with a focus on Generative AI … embeddings, and vector search. Implement deep learning models using frameworks like TensorFlow, PyTorch, or JAX. Collaborate with data scientists to integrate AI models into production systems. Maintain and enhance AI pipelines, ensuring efficiency and scalability. Conduct research on the latest AI advancements and implement innovative solutions. Assist in fine-tuning large language models (LLMs) and retrieval-augmented generation … model performance and work on deployment strategies using cloud-based AI solutions. Support MLOps best practices to streamline AI development workflows. Stay updated with the latest advancements in machine learning by regularly reviewing academic literature and research papers. Capable of translating theoretical insights into practical, real-world solutions. Required Qualifications: Bachelor's or Master's degree in Computer Science More ❯

COE will focus on nurturing Al talent, fostering knowledge sharing, and continuously evolving Al practices across the organization Location: Chennai, Onsite Experience: • 11+ years of experience in Al, machine learning, or data science , with a proven track record of delivering Al solutions. • 7+ years of experience in a leadership or architecture role, ideally with some experience in leading a … and cloud platforms like AWS, Azure, or Google Cloud. • Experience in multiple industries is advantageous (e.g., healthcare, finance, retail). Skills: AI/ML Expertise: Strong understanding of machine learning algorithms, deep learning, natural language processing, computer vision, and data-driven problem-solving techniques. Architecture Skills: Proven ability to design and architect scalable, reliable, and high-performance … teams. Strong presentation and communication skills for engaging stakeholders at all levels. Project Management: Experience managing large, complex projects with diverse teams and tight deadlines. Governance and Best Practices: Deep understanding of Al governance frameworks, industry standards, and ethical guidelines. Key Responsibilities: 1. Al Solution Architecture: Design and Develop Al Solutions: Lead the end-to-end process of designing More ❯

We have built one of the world's largest and fastest-growing metagenomic datasets, sourced from our global expeditions and partnerships. Using this extensive resource, our team runs petascale deep learning and bioinformatics pipelines across cloud and HPC infrastructure to uncover novel enzymes, explore new biology, and solve complex biotechnology challenges for our partners. We have a strong … of the most renowned tech companies and organisations, including NVIDIA, The Broad Institute (Harvard), Microsoft and AWS. We're an inclusive, flexible workplace, where biologists, engineers, data and machine learning scientists, and field explorers are united by a sense of adventure and a belief that nature has already designed the solutions to our planet's greatest challenges, we just … largest and most diverse metagenomic dataset known to the industry. You will be instrumental in building and scaling our infrastructure to leverage our data asset for next generation therapeutics, deep learning models, and some of the industries toughest biotechnology challenges. About you Own and operate our on-premise and cloud environments, in particular our Kubernetes clusters (security, monitoring More ❯

Senior Machine Learning Engineer Senior Machine Learning Engineer Innovation team working on Autonomous Vehicle Control Salary: £550 - £700 per day - 1 year minimum project The Senior Machine Learning Engineer will join a Government backed innovation project around Autonomous Vehicle Control. You will join a team of 10 people working in London, whilst also collaborating closely with a … European based team. A suitable candidate will likely have 2-3 years experience experience working in AI & deep learning API's, with a focus on robotics/automation. It is not essential to have experience in Autonomous Vehicle Control. Experience of computer vision systems/Advanced visual perception. Neural Networks Signal & Image Processing Algorithmic knowledge of supervised/… unsupervised machine learning systems and deep learning API/principles Python/C++. OpenCV, Ubuntu/Debian This is an urgent requirement to join a passionate innovation team working on next generation autonomous vehicle control. The project is minimum 1 year in length with a clear goal to reach, which if achieved will offer the Machine Learning More ❯

to be a part of the AI revolution! About DeepPCB: DeepPCB is InstaDeep's AI-powered Place & Route PCB (Printed Circuit Board) design tool. We use a combination of deep reinforcement learning and high-performance computing to automate and scale PCB place-and-route workflows, accelerating hardware innovation globally. We are looking for a Machine Learning Engineer … to join the DeepPCB team and help push the boundaries of AI for electronic design automation (EDA). You will develop, optimize, and deploy cutting-edge machine learning and reinforcement learning models focused on automating complex PCB design problems, working closely with researchers and engineers to bring ideas to life. Responsibilities: Develop scalable and efficient machine learning … technical depth based on the audience. Participate in technical discussions, design reviews, and customer-facing activities when required. Requirements: B.Sc ., M.Sc ., or Ph.D. in Computer Science, Machine Learning, Electrical Engineering, or a related technical field. 5 years of professional experience in applied machine learning or engineering roles. Strong expertise in Machine Learning and Deep More ❯

successful $190 million funding round, we're on a mission to transform the used car market. About the role: We're looking for an experienced and driven Lead Machine Learning Engineer to lead our Machine Vision team. This role focuses on taking full responsibility for developing, deploying, and maintaining high-quality, performant computer vision models, including classification, object detection … and buying experience for all our customers - including both sellers and dealers. In this role, you'll lead the computer vision side, manage and mentor at least one Machine Learning Engineer (MLE), and collaborate closely with machine learning engineers, backend engineers, and product managers to develop scalable, high-performing ML solutions that elevate the customer journey. You'll … staying updated with the rapidly evolving AI landscape, identifying and adopting new techniques, tools, and methodologies as appropriate. Requirements: Excellent programming ability in Python and good experience with machine learning libraries such as PyTorch (preferred), TensorFlow, OpenCV etc. Experience in deploying, maintaining, and optimising deep learning pipelines, focusing on efficiency, performance, and production maturity. Strong understanding of More ❯

span ideation to execution: growth, product and experience design; technology and experience platforms; creative, media and marketing strategy; and campaign, content and channel orchestration. With strong client relationships and deep industry expertise, we help our clients operate at the speed of life through the unlimited potential of imagination, technology and intelligence. Visit us at: As a team: The Data … range of new skills on the job. As a Data Science - Customer Data Modelling Consultant, you will: Drive Customer and Marketing Innovation Solve complex business problems using advanced machine learning methods such as deep learning and quantitative analytics. Design and develop experiments with generative AI models and deep learning architectures. Consult on implementing and optimizing … for content generation, including text, image, audio, and video formats. Identify and pursue innovative opportunities through discovery analytics. Deliver Scalable AI Solutions Define approaches to embed and scale machine learning models within customer data platforms and enterprise systems. Partner with engineers and developers to deploy ML algorithms that deliver tangible business value. Ensure the scalability and efficiency of AI More ❯

devices. Work with stakeholders and partners to define roles and responsibilities. Fundamentally understand Amazon's Neural Edge Engine to invent optimization techniques. Apply principles of Information Theory, Scientific Computing, Deep Learning Theory, and Non-Equilibrium Thermodynamics. Manage teams involved in training (preferably pretraining) Gen AI models. Foster collaboration with the compiler team, fellow applied scientists in the finetuning … Support team publications in open source and represent Amazon at key ML conferences such as NeurIPS, ICLR, and MLSys. BASIC QUALIFICATIONS 3+ years of experience managing scientists or machine learning engineers. Knowledge of ML, NLP, Information Retrieval, and Analytics. Knowledge of machine learning approaches and algorithms. PREFERRED QUALIFICATIONS Experience building machine learning models or developing algorithms for … business applications. Experience building complex software systems involving deep learning, machine learning, and computer vision that have been successfully delivered to customers. PhD degree. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need workplace accommodations or adjustments during the application and hiring process, including support for More ❯

Machine Learning Cheminformatics Engineer, Drug Discovery (EMEA) SandboxAQs AI Simulation group partners with global research teams to discover new drugs and materials using AI and physics-based computational solutions. We are seeking an experienced researcher to drive innovative and impactful projects leveraging cheminformatics, machine learning, and computational chemistry for drug discovery. The successful candidate will demonstrate strong abilities … in cheminformatics and/or bioinformatics, including knowledge of established techniques and cutting-edge machine learning methods for modeling molecular properties and interactions with complex systems. They will also have experience with scientific programming and data science. These skills will be leveraged within a seasoned, agile, and multi-disciplinary group, including drug hunters with an excellent track record in … drug discovery, computational chemists, physicists, AI experts, and software engineers. What Youll Do Design and implement software that leverages informatics, machine learning, and computational chemistry to address unmet needs in drug discovery Contribute to ongoing research leveraging physics-based simulation, deep learning, and knowledge graphs for drug discovery applications Work closely with an interdisciplinary team of scientists More ❯

is hiring Applied Scientists to help improve our ability to plan and execute package movements. As an Applied Scientist in Amazon Shipping, you will work on multiple challenging machine learning problems spread across a wide spectrum of business problems. You will build ML models to help our transportation cost auditing platforms effectively audit off-manifest (discrepancies between planned and … customer notifications. Your role will require you to demonstrate Think Big and Invent and Simplify, by refining and translating Transportation domain-related business problems into one or more Machine Learning problems. You will use techniques from a wide array of machine learning paradigms, such as supervised, unsupervised, semi-supervised and reinforcement learning. Your model choices will include, but … not be limited to, linear/logistic models, tree based models, deep learning models, ensemble models, and Q-learning models. You will use techniques such as LIME and SHAP to make your models interpretable for your customers. You will employ a family of reusable modelling solutions to ensure that your ML solution scales across multiple regions (such More ❯

for Afiniti Performance Optimisation: Optimise performance through algorithmic innovation and efficiently leveraging GPUs. Technical Mentorship: Provide guidance and mentorship to junior team members, and foster an environment of machine learning model development best practices. Innovation and Research: Explore emerging technologies to drive innovation in product development. Collaborative Problem Solving: Collaborate with cross-functional teams to solve complex technical challenges. … Continuous Learning: Stay updated with industry trends and best practices in software engineering and AI technology. Requirements Machine Learning Understanding: expert in deep learning, diffusion and transformer-based model architectures, with application to language technology models (expertise in text-to-speech synthesis is a big plus!). Strong publication record: publications in top speech and language … processing and machine learning conferences and journals Strong Machine Learning Development Skills: Proficient in Python and expert-level understanding of PyTorch and relevant deep learning packages. GPU Computing Experience: Hands-on experience with effectively leveraging GPU hardware for training and inference. DevOps and Cloud Computing Proficiency: Experience with AWS, Azure, or Google Cloud Platform, Docker, Kubernetes More ❯

our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising … on-premise technologies from microsoft, ibm, oracle, hp, sap - Experience developing software code in one or more programming languages (java, python, etc.) - Relevant experience in building large scale machine learning or deep learning models and Generative AI model development - Eligibility for the UK Security Clearance PREFERRED QUALIFICATIONS - Knowledge of the primary aws services (ec2, elb, rds, route53 … such as statistics, mathematics, data science, engineering, or computer science - Experience communicating across technical and non-technical audiences - Experience in using Python and hands on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet - Fluency in written and spoken English Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is More ❯

Are you a curious and open-minded individual with an interest in conducting state-of-theart foundational machine learning research? Thomson Reuters Labs is seeking Research Scientists with a passion for building complex agent-based AI systems in a data-rich, complex academic environment driven by real-world problems. Foundational Research is the dedicated core Machine Learning research … who participate in designing, coding, conducting experiments, translating findings into concrete deliverables and engaging with the academic community. Our focus areas are: LLM Training (Continued Pretraining, Instruction Tuning, Reinforcement Learning Alignment, Distributed Training, Efficient ML techniques) Post-training techniques for planning, reasoning & complex workflows (e.g., Reasoning Models, LLMs + Knowledge Graphs, Test time compute, CoT pipelines, Tool use & API … calling, etc.) Data-centric Machine Learning (Synthetic Data, Curriculum Learning, Learned datamixtures, etc.) Evaluation (Benchmarks, Human-in-the-loop, red teaming/Adversarial Testing, Hallucination detection, ) We work collaboratively both with TR Labs (TR's applied research division), academic partners at world-leading research institutions and subject matter experts with decades of experience. We experiment, prototype, test, and More ❯

RTB House is a next-generation performance demand-side platform (DSP) that uses proprietary Deep Learning AI algorithms to help brands grow. The company is the market leader in driving performance using Deep Learning across the entire purchase funnel. Founded in 2012 and now operating in 90+ markets, RTB House has always been private-by-design. … It embraces first-party advertising and a relentless approach to innovation. RTB House offers end-to-end Deep Learning-powered AdTech products and solutions to maximise conversion, drive new customer acquisition, create engagement, and fuel long-term demand for a global base of clients. As a Business Analyst, you will draw on your analytical skills and ability to More ❯

PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels … Senior CFD engineer, you won't just create models, you'll build what truly matters. This Role In this role, you'll work closely with our Data Scientists, Machine Learning Engineers, and customers to understand and define the engineering and physics challenges we are solving. You'll play a crucial role in delivering high-fidelity simulations by: - Independently building … and efficiency, often working under pressure to meet tight deadlines. - Working at the intersection of CAE and data science, generating accurate simulation results and predictions to train advanced Machine Learning and Deep Learning models. - Continuously improving engineering practices, adapting CAE model setups and outputs to support the development of Deep Learning surrogates. - Mentoring junior engineers More ❯

PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels … the state-of-the-art in simulation engineering for AI. - Work at the intersection of CAE and data science, generating accurate simulation results and predictions to train advanced Machine Learning and Deep Learning models. - Continuously improve engineering practices, adapting CAE model setups and outputs to support the development of Deep Learning surrogates. - Mentor junior engineers … for you. Hybrid setup - enjoy our new Shoreditch office while keeping remote flexibility. Enhanced parental leave - support for life's biggest milestones. Private healthcare - comprehensive coverage Personal development - access learning and training to help you grow. We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender More ❯

Responsibilities (Text Only) You'll work on high-impact, technically ambitious projects that directly shape the future of Microsoft 365 Copilot.Examples include: - Advancing deep reasoning in Microsoft 365 Copilot by applying next-generation LLM fine-tuning and reinforcement learning techniques. - Improving Copilot Chat and Researcher response quality through state-of-the-art grounding data selection strategies. - Enhancing Copilot … Physics, Statistics, OR related areas is highly preferred. Candidates with master's degree with proven industry experience or a strong publication record in the areas of Information Retrieval, Machine Learning, Natural Language Processing, and Deep Learning are considered as well. - Extensive hands-on experience building and deploying products using Machine Learning. Specifically, we are looking for expertise … Language Processing, Large Language Models, Information Retrieval, and Recommendation Systems with a good understanding of techniques like Differential Privacy, Responsible AI and related areas. - High proficiency in deploying machine learning applications at scale in real production environments and proven track record of successfully shipping applied research to production is a must - Excellent problem solving and data analysis skills and More ❯

Join to apply for the Machine Learning Engineer role at Treecode 1 week ago Be among the first 25 applicants Join to apply for the Machine Learning Engineer role at Treecode Get AI-powered advice on this job and more exclusive features. At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive … driving. At Wayve, big problems ignite uswe embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment … in our Embodied AI division which consists of modelling, robotics, data and detectives teams working together to deliver an Autonomous Driving product. We are looking for an experienced Machine Learning Engineer to help us in our journey to scale end-to-end neural networks for autonomous driving. Youll be working across our embodied AI org team to build, integrate 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 ❯