1 to 25 of 28 Remote/Hybrid Deep Learning Jobs in London

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 … 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 ...

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 … productive environment. Nurture younger colleagues to grow their skillset and guide their professional development. The below activities in particular. 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 ...

work hard for a mission that matters at a company where you matter. Your Impact We are seeking highly skilled and innovative Machine Learning Scientists to join our AI team, focusing on AI applications (LLM and Computer Vision) in Cloud, Devices and Robotics. As a key member … world datasets and design experiments to validate their effectiveness. Stay up‐to‐date with the latest research trends and advancements in computer vision, machine learning, and deep learning, MLLMs, GenAI and integrate relevant findings into our projects. Contribute to patent disclosures, academic publications, and technical documentation ...

going to be the input for a blog on our website Be a Technical writer whose code would be used by the company for learning content in our blogs Have originality in content and be creative at the same time Plagiarism of any form is not accepted Full Stack … development Co‐ordinate with the technology team and assist them to ensure timely execution of new projects Lead initiatives like "automating scoring using machine learning techniques", "build asset allocation models", "build algorithms for automating financial planning framework", "build recommendation systems", "build system for automated fraud detection", etc Analyse data ...

curious and open-minded individual with an interest in conducting state-of-the-art 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 … dedicated core Machine Learning research division of Thomson Reuters. We are focused on research and development, with a particular focus on advanced algorithms and training techniques for Large Language Models (LLMs). We are building a strong foundation of research capabilities across different areas and are looking for scientists ...

curious and open-minded individual with an interest in conducting state-of-the-art 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 … participate in designing, coding, conducting experiments, and translating findings into concrete deliverables. 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 ...

work with a range of UK employers actively hiring across these roles About the Roles We're looking for experienced AI and Machine Learning Engineers at all levels—from AI Engineer and ML Engineer through to Senior, Lead, Applied Scientist and Research Engineer positions—for upcoming roles across applied … machine learning, generative AI, MLOps and model productionisation. These are hands-on engineering roles where you'll build, train, ship and operate the models that drive real product behaviour and real business outcomes. You'll work across the full ML lifecycle—from problem framing and data preparation through ...

Azure ML, Databricks, MLflow, LangChain, LangGraph Proven experience with Git, unit testing, containerisation and agile methodologies (Jira, Confluence) Good knowledge of generative AI, machine learning, deep learning or NLP Strong communication skills able to explain technical concepts to varied audiences Qualifications Bachelor's degree (Master … preferred) in Computer Science, AI, Data Science, Statistics, Engineering or a related technical field Advanced certifications in AI, machine learning, cloud computing or data engineering highly advantageous Professional accounting qualification desirable but not required Nice to Have Experience with Microsoft Graph API Background in audit, financial services or regulated ...

About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. … pipelines and building robust tools. Interface cutting‐edge research with production: integrate checkpoints, streamline evaluation, and expose APIs. Conduct experiments on the latest deep‐learning techniques (sparsified 70 B + runs, distributed training on thousands of GPUs). Design, implement and benchmark ML algorithms; write clear, efficient code ...

medicines to patients. Role model a culture of AI-augmented, data-driven decision-making across GDD functions - spanning clinical development, translational research, and regulatory. Deep technical expert with accountability for agentic AI systems that reduce time to insight and time to patient across global development programs. Shape the agentic … architectures, tool-using LLMs, and autonomous workflow orchestration - to accelerate drug development timelines and time-to-patient. The role sits at the intersection of deep technical expertise (agentic frameworks, RAG, governance, data foundations) and strategic influence, shaping the agentic AI direction for its domain while collaborating across clinical development ...

Machine Learning Engineer £75k-£100k DOE | UK Remote About the Role We are seeking an experienced Machine Learning Engineer to develop, train and optimise advanced computer vision and machine learning systems for deployment in constrained edge environments. This role is ideal for someone who combines strong machine … learning expertise with excellent software engineering capability and enjoys solving difficult performance, optimisation and deployment challenges. You will work on cutting-edge computer vision systems, helping deliver highly efficient machine learning models that operate in demanding real-world conditions. Responsibilities Develop advanced computer vision and machine learning ...

complete the application to adjustments@depop.com. For any other non-disability related questions, please reach out to our Talent Partners. Role At Depop, machine learning is integral to our value proposition. As a Machine Learning Scientist, you will work on building state-of-the-art ranking models … power Depop’s app, serving millions of personalised results to users daily. Responsibilities You will: Research, design and deliver machine learning solutions to tackle problems Understand requirements from various stakeholders across the business, designing machine learning solutions to solve business problems Set up and conduct large-scale experiments ...

adjustments@depot.com. For any other non-disability related questions, please reach out to our Talent Partners. Role Depop is looking for a Staff Machine Learning Scientist to join our new Core ML team in the UK. You will work alongside a multi-functional team of Product Managers, ML Engineers … fellow ML Scientists, helping build and maintain foundational machine learning models and infrastructure, such as product matching models, image embedding services, and lightweight classifiers, that support multiple product and marketing use cases across Depop. As a staff-level member of the team, you will be expected ...

Forward Deployed Engineer Machine Learning, Python, PyTorch, TensorFlow, LLMs, RAG, Generative AI, Agentic Systems, Cloud, Consulting, Solutions Engineering, EMEA (Remote) Very Attractive Salary + Benefits This is a fantastic opportunity for a Senior AI Forward Deployed Engineer to join a leading technology consulting and AI delivery organisation, working directly … customer environments, supporting the design and implementation of end-to-end AI systems. The AI Forward Deployed Engineer will work across both traditional Machine Learning and modern Generative AI domains, delivering production-grade solutions and rapid proof-of-concepts that enable large-scale AI transformation. Strong hands-on experience ...

looking for a highly capable and hands-on Senior ML Infrastructure Lead to build and scale the technical foundations that enable machine learning to operate effectively in production. This hybrid leadership role sits across machine learning infrastructure, platform engineering and MLOps. You will be responsible for designing … that allow ML teams to train, deploy, monitor and improve models reliably, securely and at scale. You will work at the intersection of machine learning, software engineering, data, cloud infrastructure and platform reliability, helping bridge the gap between research and production. This role is ideal for someone ...

global leading business is hiring a Senior Machine Learning Engineer. Hybrid position. Paying up to £1000 per day. Outside IR35 Experience and skills required for the Senior Machine Learning Engineer, Quantisation, PEFT, DeepSpeed, ONNX, TensorRT, PyTorch, multi-LoRa, LoRA Exchange, TitanML ️ In depth experience with the following Machine … Learning: Quantization, PEFT, DeepSpeed, ONNX, TensorRT Deep Learning with PyTorch Experience with Strong experience working with inference servers like multi-LoRa, LoRA Exchange, TitanML ️ Previous industry exposure to multi-node HPC clusters ️ Experience with Large language models - OpenAI, Mistral, Claude, LLaMA Large language model for GPU usage ...

Roadmap, prioritisation and accountability Act as technical lead for named workstreams: define validation gates, set pre-agreed continue/pivot/stop criteria and learning milestones, and, where applicable, provide oversight for the work of contributing scientists and engineers assigned to those workstreams. Own the innovation roadmap for assigned … support data access, validation and credibility. Qualifications and skills required for the role: Essential Doctorate in a relevant quantitative discipline (medical image analysis, machine learning, computer science, biomedical engineering, computational neuroscience) or equivalent industry research experience. Substantial post-doctoral or equivalent industry experience (typically 5+ years) in developing ...

Roadmap, prioritisation and accountability Act as technical lead for named workstreams: define validation gates, set pre-agreed continue/pivot/stop criteria and learning milestones, and, where applicable, provide oversight for the work of contributing scientists and engineers assigned to those workstreams. Own the innovation roadmap for assigned … support data access, validation and credibility. Qualifications and skills required for the role: Essential Doctorate in a relevant quantitative discipline (medical image analysis, machine learning, computer science, biomedical engineering, computational neuroscience) or equivalent industry research experience. Substantial post-doctoral or equivalent industry experience (typically 5+ years) in developing ...

Roadmap, prioritisation and accountability Act as technical lead for named workstreams: define validation gates, set pre-agreed continue/pivot/stop criteria and learning milestones, and, where applicable, provide oversight for the work of contributing scientists and engineers assigned to those workstreams. Own the innovation roadmap for assigned … support data access, validation and credibility. Qualifications and skills required for the role: Essential Doctorate in a relevant quantitative discipline (medical image analysis, machine learning, computer science, biomedical engineering, computational neuroscience) or equivalent industry research experience. Substantial post-doctoral or equivalent industry experience (typically 5+ years) in developing ...

achievable improvements that get used every day. We’ll Count on You To: Design and build ML/AI solutions (classical ML + modern deep learning/LLM approaches) aligned to product outcomes. Demonstrate proficiency in full-stack technologies for enterprise-scale websites and applications. Work as part … stakeholders to understand business needs, define and develop applications/architecture, design, review, implement and optimize Engineering processes. Build data expertise and a deep understanding of business domain knowledge and own data quality for allocated areas of ownership Maintain and enhance microservices based components for the application suite. Recommend ...

project delivery, stakeholder engagement, and supporting the development of others. For those at Consultant level, the role offers strong exposure to client work, learning from experienced practitioners, and a clear pathway for progression. We value curiosity, collaboration, and a growth mindset, and we encourage applications from candidates … Expert – Expert in building and evaluating Generative AI solutions and Large Language Models (LLMs) for various use cases. Experience in developing and implementing machine learning models, including predictive, forecasting, classification, and deep learning models. CX Data Experience - Hands-on experience in customer behaviour analytics, marketing, commercial ...

Expert – Expert in building and evaluating Generative AI solutions and Large Language Models (LLMs) for various use cases. Experience in developing and implementing machine learning models, including predictive, forecasting, classification, and deep learning models. CX Data Experience - Hands-on experience in customer behaviour analytics, marketing, commercial … communicate complex ideas clearly to senior client stakeholders Innovative Mind - A strong interest and experience with the latest advancements in data, AI, machine learning, and data science space It Would Be a Bonus If You Have Experience in primary growth sectors; CPR (Consumer Products & Retail), ETU (Energy, Utilities ...

Join Axon in London as a Machine Learning Scientist, where you will advance AI technologies for law enforcement. The role emphasizes collaboration and innovation, supported by a hybrid work model that fosters teamwork and mentorship. Ideal candidates will have a PhD and extensive experience in LLM, MLLM, and Computer … Vision, alongside strong programming skills in Python and deep learning frameworks. #J-18808-Ljbffr ...

designing ML algorithms in Python. Candidates with a Master's or PhD in Computer Science and 4+ years of relevant experience, particularly in deep learning and NLP, are encouraged to apply. The position offers competitive salary, equity, and hybrid working options. #J-18808-Ljbffr ...

time in understanding the architecture and domain before making changes to the most critical components. Were looking for someone who enjoys that kind of deep learning and is keen to build long-term expertise that enables them to take on greater ownership and impact. Good team player Autonomous ...