1 to 25 of 68 Remote/Hybrid Deep Learning Jobs

Lead Data Scientist (Model Developer)/Deep Learning Practitioner Nottingham Trent House (95002), United Kingdom, Nottingham, Nottinghamshire About this role Our Data Science team focuses on the development of Machine Learning and Deep Learning solutions, to solve business problems and deliver actionable insights. … derive insights from complex data, working in close collaboration with our business partners. This role will focus on leading the development of proprietary deep learning models in order to enhance our existing underwriting capabilities. By utilizing a mix of new and existing data, you will identify ways ...

Senior Computer Vision Engineer - Deep Learning Salary: £70,000 to £95,000 Location: West London Working arrangement: Predominantly office and customer-site based, with some remote working available Employment: Permanent, full-time. Contract opportunities may also be considered. MFK Recruitment is recruiting a Senior Computer Vision Engineer … innovative UK technology company working at the forefront of computer vision, perception and autonomy. The company develops advanced Artificial Intelligence and Machine Learning technology for defence, security and other demanding real-world environments. Its work combines machine vision, deep learning and neuroscience-inspired approaches to create ...

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 ...

This role offers the opportunity to shape the future of intelligent industrial automation through advanced artificial intelligence research. You will develop cutting-edge reinforcement learning systems that enable real-world machines and facilities to continuously learn and optimize performance. Working at the intersection of AI research, control theory … industrial applications, you will help transform complex operational environments. The position combines deep technical exploration with practical deployment, turning innovative research into impactful solutions. You will collaborate with multidisciplinary experts, contribute to ambitious research initiatives, and influence the direction of AI-driven control systems. This is an ideal opportunity ...

Capital One (Europe) plc is seeking a Lead Data Scientist to develop and deploy deep learning models for underwriting. Located in Nottingham, this role leads innovative strategies to enhance predictive capabilities using both traditional and non-traditional datasets. The ideal candidate has strong experience with deep learning ...

Molecular AI) Location: London (Hybrid) Salary: Up to £100,000 DOE A well-funded life science technology company is looking for an exceptional Machine Learning Scientist to develop next-generation AI methods for molecular and protein discovery. This is a research role with real engineering proximity. You will develop … scientific discovery. The team values strong scientific contributions and a genuine track record of research impact. What we are looking for PhD in Machine Learning, Computer Science, Computational Biology, Physics, Mathematics, or a related discipline, or equivalent research experience A strong publication record at premier ML conferences such ...

United Kingdom | Posted on 06/08/2026 Hybrid working from home and Central London Join a voice technology company as a Machine Learning Researcher and help them to continue developing cutting-edge voice, speech and noise cancellation technologies. As part of their audio technology research team … responsible for: Carrying out research on deep learning audio Evaluating and testing AI and ML models Implementing and training models Model research, implementation, training, evaluation and inference Writing reports and research papers With several products already on the market and thousands of users, this is a great time ...

Machine Learning Engineer A fantastic opportunity for a Machine Learning Engineer to join a world-leading AI technology company developing cutting-edge software solutions. This is an ideal opportunity for an ML Engineer who has a strong academic background and experience working with LLM technologies. You will work … alongside Software Engineers, Machine Learning specialists, and the wider tech team to deploy, integrate and optimise innovative machine learning models within highly advanced, real-world products. Location: Cambridge, Cambridgeshire, hybrid working with a minimum of 2 days per week in the office Salary ...

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 ...

Location: London - hybridWe Are: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 … 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 maximize conversion, drive new customer acquisition, create engagement, and fuel long-term demand for a global ...

range of applications. The role will involve a combination of: Applied physics and experimental research Imaging technology development Data analysis and algorithm development Machine learning/artificial intelligence applications Scientific modelling and simulation Technical reporting and stakeholder engagement A strong understanding of MATLAB is essential , as you will … develop, test and optimise algorithms and analytical solutions. Analyse complex datasets and translate findings into technical reports, recommendations and executive summaries. Develop machine learning and AI-based algorithms, including deep learning approaches, to improve detection performance and reduce false positives. Work closely with engineering, operations and leadership ...

Machine Learning Engineer Senior, Lead & Principal Location: London/Hybrid Level: Senior, Lead & Principal Salary: £100,000£140,000+ Sector: AI/Machine Learning/Technology Anson McCade are partnered with a leading UK AI organisation that is expanding its Machine Learning Engineering team and looking … hire Senior, Lead and Principal Machine Learning Engineers . This is an opportunity to work on technically challenging, high-impact AI projects, building and deploying machine learning solutions that move beyond experimentation and into real-world production environments. The Role As a Machine Learning Engineer, you will ...

Data Science & AI Consultant, you will work with Defence and Security clients to solve complex, mission-critical challenges using data, machine learning, and artificial intelligence. The role involves developing and deploying innovative AI solutions, from initial research and prototyping through to production-ready applications, while helping clients improve decision … making and operational performanc e Key Responsibiliti esApply data science, machine learning, and AI techniques to solve complex Defence and Security challenge s.Design, develop, and deploy AI-enabled solutions from concept and prototype through to productio n.Analyse structured and unstructured data to generate insights and support decision-makin g.Research ...

/ML Engineer – 12‐month Fixed‐Term Contract, West London. Hybrid work model: onsite 2 days per week. Responsibilities Design, train and optimise machine‐learning models focused on user personalisation, including recommendation engines, ranking algorithms, user segmentation and content analysis. Construct and maintain robust, scalable data pipelines for feature … analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Collaborate with multidisciplinary teams to align machine‐learning initiatives with business objectives and user needs. Evaluate emerging research in machine learning, deep learning and personalisation for potential integration within ...

span a wide range of AI and automation tools, including Virtual Assistants, Robotic Process Automation (RPA), Computer Vision, Natural Language Processing (NLP), Machine Learning, Deep Learning, Generative AI, Frontier LLMs, and Predictive AI. A strong candidate would have experience/exposure to nuances of these tools/ ...

WeWork Waterloo - Hybrid Comp: Negotiable (Base) + Company Performance Bonus (10%) + Share Options + UK iProov Benefits iProov is looking for a Machine Learning Engineer to join our Core AI team. You will be responsible for working on the biometric systems, developing new techniques and algorithms ensuring security … performance. How you can make an impact Drive research projects in the areas of computer vision, machine learning and biometrics. Research new biometric systems and contribute to prototyping new products - by testing and integrating existing technologies or by designing a new solution. Develop and train deep learning ...

Expertise in designing, architecting, and implementing large-scale foundation models Significant hands‐on experience optimising and debugging deep learning models Practical experience with distributed or large-scale training and inference Deep understanding of at least one major deep learning framework (ideally PyTorch) Experience building … will do: Lead the research, development, and production deployment of Hypercritical's foundation model. Define the long-term technical strategy for high-performance Machine Learning systems. Optimize the model for peak performance across diverse hardware and ensure scalability for exponential user growth. Serve as the technical guardian ...

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 ...

fleets around the world. Embedded Systems Engineer - AI Innovation Cwmbran, South Wales On Site - occasional opportunity for home working Skills: Artificial Intelligence, Machine Learning, Real-Time, Embedded development, Custom Models, Sensor Fusion, Automation, Edge AI, RTOS, Deep learning, LLM, ANN, C++, Electronics, Mechatronics, Robotics Looking after … technical skills to bring AI concepts from idea to real-world demonstration, all while helping build AI capabilities among colleagues. Key Responsibilities: *Build deep technical and regulatory understanding of our cabin/seat electronic and data systems. *Develop and test edge-AI solutions that enhance passenger experience and advance ...

digital asset market and are taking a leadership position in building an innovative and compliant market. The Role You are an experienced machine learning engineer or researcher with a strong track record in applied deep learning, ideally in domains involving high-frequency or large-scale time-series … book and market microstructure data. Design and maintain data pipelines, preprocessing, and feature extraction workflows tailored to streaming tick data. Research and implement advanced deep learning architectures for short-horizon forecasting and signal extraction. Collaborate with quant researchers and developers to integrate models into live trading environments. Optimise ...

methodologies, focusing on interpretability, steering, and behavioral studies of transformer-based LLMs. Developing high-quality, modular, and reproducible research code in Python using deep learning frameworks like PyTorch. Building and maintaining research infrastructure and technical tooling to accelerate scientific discovery. Documenting and communicating experimental findings through high-quality … complex technical insights for diverse audiences, including external frontier labs, government bodies, and safety institutes. Who we're looking for: Solid background in machine learning fundamentals and transformer architectures (specifically LLMs). A practical understanding of white-box and black-box interpretability techniques, such as steering vectors or mechanistic ...

competitive base salary + performance-linked bonus structure Overview We are currently partnering with a premier systematic investment firm to identify an exceptional Machine Learning Quantitative Researcher. In this role, you will join a specialized research team dedicated to developing next-generation quantitative trading strategies. This position offers … opportunity to leverage extensive computational resources and robust data infrastructure to focus exclusively on greenfield research. You will be tasked with applying advanced machine learning methodologies to complex, unstructured datasets to identify and capture new sources of alpha in global financial markets. Key Responsibilities Design, develop, and deploy advanced ...

partnered with a well-funded, mission-driven, 40-person research organisation using advanced AI to decode animal communication. Operating at the intersection of machine learning, bioacoustics and scientific discovery, the team is building foundation models trained on unique multimodal datasets to unlock new understanding of non-human communication. Backed … term AI research strategy Lead and develop senior research leaders across Foundation Models, Research Infrastructure and Decoding Drive the application of large-scale machine learning to scientific research challenges Evaluate and guide foundation model development, deployment and research quality Build external partnerships across academia, industry and scientific institutions Communicate ...

Role As a Senior AI/ML Engineer, you’ll play a pivotal role in designing, building, and deploying scalable AI and machine learning solutions across Forge Holiday Group. From data pipelines to machine learning models, your work will power customer interactions, internal insights, and commercial decision‐making. … Build and maintain end‐to‐end AI/ML pipelines in Microsoft Fabric. Design, train, deploy and monitor machine learning and deep learning models. Implement MLOps best practices: versioned data & features, CI/CD pipelines, model promotion, and rollback. Collaborate with data scientists, analytics engineers, product managers ...

platform-driven Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what’s next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work … members, including data scientists and engineers, to develop and implement AI solutions. Required Skills Proficiency in OpenAI's Codex: The candidate must have a deep understanding and hands-on experience with OpenAI's Codex. They should be able to use this AI system to translate natural language to code ...