26 to 50 of 66 Deep Learning Jobs in the City of London

tooling, and models that will drive alpha generation and risk management for years to come. As a Quant Developer, you will work at the intersection of quantitative research, machine learning, and software engineering. You'll collaborate with quants, data scientists, and portfolio managers to design and implement scalable systems for data ingestion, model training, and real-time signal deployment. … to architectural decisions and technology stack selection for the greenfield platform. Required Skills & Experience Strong programming skills in Python, with experience in production-grade systems. Solid understanding of machine learning workflows, including model training, validation, and deployment. Experience with quantitative finance, including time series analysis, alpha modelling, or risk analytics. Familiarity with cloud infrastructure (e.g., AWS, GCP) and containerisation … tools Experience working in fast-paced, collaborative environments with agile methodologies. Nice to Have Prior experience in a hedge fund, prop trading firm, or investment bank. Exposure to reinforcement learning, deep learning, or LLMs in financial contexts. Knowledge of market microstructure and execution algorithms. Contract Details Duration: 12 months Start Date: July 2025 Location: London (Hybrid working More ❯

Team: Machine Learning Location: London (Liverpool Street) Employment Type: Full-time and Permanent Remuneration: £90–120k Base Salary + Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Microsoft, Bloomberg and Goldman Sachs. We are backed by prominent investors … every box – and that is perfectly fine. If you are passionate about data and enjoy solving complex challenges, we would love to hear from you. Nice to have: Machine Learning: Experience in generative models, LLMs, multi-modal models and Deep Learning more generally. Open-source: Contributions to and experience in open-source projects. Front-end: Experience with More ❯

Team: Machine Learning Location: London (Liverpool Street) Employment Type: Full-time and Permanent Remuneration: £70–90k Base Salary + Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Microsoft, Bloomberg and Goldman Sachs. We are backed by prominent investors … every box – and that is perfectly fine. If you are passionate about data and enjoy solving complex challenges, we would love to hear from you. Nice to have: Machine Learning: Experience in generative models, LLMs, multi-modal models and Deep Learning more generally. Open-source: Contributions to and experience in open-source projects. Front-end: Experience with More ❯

Machine Learning Engineer – Globally established entertainment company Salary: £90,000–£110,000 (can stretch to £130,000 for the right person) Location: London (Hybrid – 1–2 days per week in-office) Join a tech-first team modernising the way entertainment is brought to life. Work across innovative deep learning and exciting projects within the Gen AI, software … 3D and computer vision space. ROLES AND RESPONSIBILITIES Work closely with a high-impact, global team of 4 Gain exposure and work hands-on across deep learning projects, as well as innovative AI (e.g 3D, Computer Vision, Gen AI etc.) Join a company looking to modernise machine learning applications and AI while still giving control to creatives … REQUIREMENTS ✅ 2+ years hands-on experience in deep learning (ideally in computer vision or 3D-related areas) ✅ Strong Python + debugging skills ✅ Experience designing & training models in PyTorch or TensorFlow ✅ Good understanding of C++ ✅ Interest/experience in the video, games or film industry Bonus if you have: GitHub, papers, or personal projects you’re proud of Background More ❯

a newly established Data Science and Artificial Intelligence capability. The successful applicant will be responsible for designing and creating Data Science and Artificial Intelligence solutions across Generative AI, Machine Learning, Deep Learning and Natural Language Processing to help improve patient outcomes and care. Location: Hybrid in London (2/3 days per week) Salary: £70,000 to … + Benefits Interview Process: 4 Stages To be considered: Over 5 years of experience designing and delivering solutions across Data Science and Artificial Intelligence, across Machine Learning and NLP. Minimum One year of experience designing and implementing LLM Solutions. Expertise in building production pipelines, using Python. Excellent communication skills, both written and verbal. Prior experience working in healthcare. This More ❯

a newly established Data Science and Artificial Intelligence capability. The successful applicant will be responsible for designing and creating Data Science and Artificial Intelligence solutions across Generative AI, Machine Learning, Deep Learning, and Natural Language Processing to help improve patient outcomes and care. Location: Hybrid in London (2-3 days per week) Interview Process: 4 Stages To … be considered: Over 5 years of experience designing and delivering solutions across Data Science and Artificial Intelligence, including Machine Learning and NLP. Minimum of one year of experience designing and implementing LLM solutions. Expertise in building production pipelines using Python. Excellent communication skills, both written and verbal. Prior experience working in healthcare. This is a great opportunity. If interested More ❯

Research Machine Learning Engineer - World Leading Team - Cambridge/London A world-leading tech company is looking for an exceptional Research Machine Learning Engineer to join its elite AI research division. This is a unique opportunity to work on some of the most complex and exciting problems in machine learning - driving cutting-edge innovation with real-world … impact. What they’re looking for: Candidates should ideally hold a PhD in a relevant field, with a strong record of publications in top-tier conferences or journals. Deep expertise in machine learning algorithm development is essential, and they’re especially interested in those who thrive in pushing the boundaries of what’s possible. Nice to have experience … in: Reinforcement learning Large Language Models (LLMs) Optimisation methods Deep learning frameworks (e.g., TensorFlow, PyTorch) Applied AI research at scale What’s on offer: Hybrid remote work with offices in Cambridge or London The chance to publish and share your work with the broader research community Collaborate with a world-class team of researchers and engineers Work More ❯

Principal Machine Learning Engineer Paying between £100,000-£140,000 Hybrid in Central London La Fosse is partnered with a leading insurance company who are looking for an experienced Principal Machine Learning Engineer to drive their AI innovation at scale. They are looking for someone to lead a dynamic team in designing and deploying AI, ML, NLP, and … AI-driven solutions, from concept to execution. Work with business leaders and domain experts to implement AI methodologies that solve complex challenges. Oversee/mentor a team of Machine Learning engineers and Data Scientists, pioneering advancements in deep learning, NLP, and Generative AI. Leverage internal and external data sources to develop AI-powered business models that drive … growth and efficiency. Your ideal background 8-10+ years of AI leadership/engineering experience, with a track record of delivering business impact. Deep expertise in Generative AI, Large Language Models, NLP, and deep learning. Strong problem-solving skills, adaptability, and excellent communication. Experience leading ML Engineers and Data Scientists in building AI models. Familiarity with the More ❯

Social network you want to login/join with: Principal Machine Learning Engineer, london (city of london) col-narrow-left Client: Location: london (city of london), United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 2 Posted: 16.06.2025 Expiry Date: 31.07.2025 col-wide Job Description: Principal Machine Learning Engineer Paying between … Hybrid in Central London La Fosse is partnered with a leading insurance company who are looking for an experienced Principal Machine Learning Engineer to drive their AI innovation at scale. They are looking for someone to lead a dynamic team in designing and deploying AI, ML, NLP, and Generative AI solutions that will shape business models and deliver tangible … AI-driven solutions, from concept to execution. Work with business leaders and domain experts to implement AI methodologies that solve complex challenges. Oversee/mentor a team of Machine Learning engineers and Data Scientists, pioneering advancements in deep learning, NLP, and Generative AI. Leverage internal and external data sources to develop AI-powered business models that drive 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 ❯

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 ❯

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 ❯

engineering with a focus on C/C++ programming. Extensive experience in ML framework internals, compilers, low-level programming, and optimisation techniques. Extensive experience optimising Tensorflow, PyTorch or JAX deep learning models. Extensive experience with multiple toolchains like LLVM, OpenXLA/XLA, MLIR, TVM. Practical experience applying machine learning in high-performance computing contexts. Strong problem-solving More ❯

Job Title: Machine Learning Engineer Location: London 1-2 days a week Salary: £90,000-£110,000 + 15% bonus Visa Sponsorship: Is on offer for strong candidates About the Role My client is hiring a Machine Learning Engineer to join a small but impactful team at the intersection of deep learning, computer vision, and real … and optimize artist pipelines while building cutting-edge ML models that work with 3D data and real-world runtime systems. What You’ll Be Working On Designing and training deep learning models end-to-end Experimenting with GenAI architectures (VAEs, Diffusion Models, Transformers) Building real-time tracking systems for devices Working with 3D geometry, meshes, and tools like … Blender Supporting automation efforts to streamline creative production pipelines What We’re Looking For Solid experience with deep learning and computer vision Proficiency in C++ (especially for low-level or runtime systems) Familiarity with GenAI and recent ML research trends Strong Python skills Exposure to 3D environments, animation, or game engines Comfort working in cross-disciplinary teams (engineering More ❯

Job Title: Machine Learning Engineer Location: London 1-2 days a week Salary: £90,000-£120,000 + 15% bonus Visa Sponsorship: Is on offer for strong candidates About the Role My client is hiring a Machine Learning Engineer to join a small but impactful team at the intersection of deep learning, computer vision, and real … and optimize artist pipelines while building cutting-edge ML models that work with 3D data and real-world runtime systems. What You’ll Be Working On Designing and training deep learning models end-to-end Experimenting with GenAI architectures (VAEs, Diffusion Models, Transformers) Building real-time tracking systems for devices Working with 3D geometry, meshes, and tools like … Blender Supporting automation efforts to streamline creative production pipelines What We’re Looking For Solid experience with deep learning and 3D modelling Strong Python skills Proficiency in C++ (especially for low-level or runtime systems) Familiarity with GenAI and recent ML research trends Exposure to 3D environments, animation, or game engines Comfort working in cross-disciplinary teams (engineering More ❯

Machine Learning Research Engineer | Generative Models | Protein Design | Deep Learning | Python | Hybrid, LDN We are looking for multiple highly skilled machine learning research engineers with strong expertise in generative modeling is sought to join an interdisciplinary team of machine learning experts, protein engineers, and biologists. The team collaborates to transform how biology is controlled and … is driven by innovation, curiosity, and a commitment to creating significant positive global impact. Requirements Expertise in generative modeling: The ideal candidate has a proven track record in machine learning, with experience leading or contributing to high-profile projects, as evidenced by widely used open-source libraries, major product launches, or impactful publications (e.g., NeurIPS, ICML, ICLR, or Nature … experience running models on cloud hardware and parallelizing data and models across accelerators. Data engineering capabilities: The candidate is experienced in building ML data pipelines for training and evaluating deep learning models, including raw data analysis, dataset management, and scalable pipeline construction. Passion for optimization: They possess in-depth knowledge of ML libraries, hardware interactions, and optimization techniques More ❯

Job Title: Low-Level C++ Engineer (GPU & ML Optimization) Location: London, UK About the Client: We are partnering with an exciting, disruptive technology company at the forefront of machine learning (ML) and high-performance GPU computing. This innovative firm is leveraging cutting-edge GPU technology to optimize machine learning algorithms and computational models, powering the next wave of … is reshaping the future of technology. The Role: We are seeking a Low-Level C++ Engineer to join their team and work directly on optimizing GPU performance for machine learning (ML) workloads. As part of the ML optimization team, you will be responsible for developing and fine-tuning GPU-level solutions that accelerate machine learning training and inference. … faster, more efficient computation for large-scale data processing and AI model training. If you’re eager to work at the intersection of low-level GPU programming and machine learning, this is the role for you. Key Responsibilities: Develop and optimize low-level C++ code for GPU hardware to accelerate machine learning workloads. Work closely with ML engineers More ❯

technologies, trends, and best practices in DevOps and MLOps to recommend and implement innovative solutions that drive business value. Tech stack: Python, AWS/GCP, Docker, CI/CD, Deep Learning, Kubernetes, DevOps REQUIREMENTS: MSc in a numerical or relevant field is preferred MLOps experience is required An excellent understanding of DevOps processes and techniques Happy working in More ❯

HUB platform and empower our global community of developers and researchers. 🛠️ Skills and Experience 5+ years of experience in software engineering, with a strong focus on AI and Machine Learning (ML). Expert-level proficiency in Python and deep learning frameworks, particularly PyTorch. Proven experience building and deploying applications with LLM APIs such as OpenAI , Anthropic , Gemini … Gear: Brand-new Apple MacBook and Apple Display provided. Team: Become part of a supportive and passionate team environment. If you are driven to redefine the capabilities of machine learning and eager to make a significant impact, Ultralytics offers an exceptional career opportunity. More ❯

convenience, competitive pricing, and customer self-service. What Makes a Great Candidate Experience in ML fundamentals. Knowledge deploying ML models at production scale. Good understanding of SQL. Experience with Deep Learning. Happy leading end-to-end projects. Knowledge of GCP is nice-to-have. If you are a passionate data scientist, who enjoys solving challenging problems in a fast More ❯

Social network you want to login/join with: Machine Learning Engineer - C++, london (city of london) col-narrow-left Client: Location: london (city of london), United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 2 Posted: 16.06.2025 Expiry Date: 31.07.2025 col-wide Job Description: Job Title: Machine Learning Engineer Location: London … days a week Visa Sponsorship: Is on offer for strong candidates About the Role My client is hiring a Machine Learning Engineer to join a small but impactful team at the intersection of deep learning, computer vision, and real-time 3D systems . This is a chance to push the boundaries of digital human performance, runtime tracking … and optimize artist pipelines while building cutting-edge ML models that work with 3D data and real-world runtime systems. What You’ll Be Working On Designing and training deep learning models end-to-end Experimenting with GenAI architectures (VAEs, Diffusion Models, Transformers) Working with 3D geometry, meshes, and tools like Blender Supporting automation efforts to streamline creative More ❯

MACHINE LEARNING SCIENTIST - Simulations and Optimisation £60,000 - £80,000 HYBRID - London COMPANY: We are working with an exciting AI startup who focus on using digital twin technology to help predict and capture future demand and maximise resources amongst transport networks ROLE: Focus on technical work around simulation and optimisation. Building real time pictures/data sets and issuing … time model to look at historical data and uncovering real time system dynamics through live components Predictive modelling to predict passenger flow Mix of classical ML, simulation optimisation and deep learning REQUIREMENTS: Proven experience in optimisation and/or simulation A strong background in classical ML 3+ Years experience An MSc or PhD in a strong STEM subject More ❯

Machine Learning Engineer - London Salary: £80,000 – £150,000 + Equity About Them Our client are a fast-growing AI startup revolutionising the video intelligence space. They've been building a cutting-edge video AI platform that delivers real-time insights and exceptional user experiences across various industries. Their team, composed of experienced professionals from leading technology firms, is … tackling cutting-edge challenges at the intersection of machine learning, infrastructure, and product development. Responsibilities Fine-tune open-source PyTorch models using proprietary datasets. Convert and optimise models for high-performance C++ runtimes. Design and execute experiments balancing latency, accuracy, and robustness. Integrate ML models into production pipelines and own downstream performance metrics. Maintain and improve existing ML systems … in our production environment. Stay current with deep learning research and propose practical applications in the video AI domain. About you Solid software engineering skills with a focus on writing production-grade code. Strong foundations in machine learning. Experience with PyTorch and Python 3; familiarity with C++ preferred. Experience with containerisation (Docker), model profiling. Why Join Them Work More ❯

Machine Learning Engineer - Up to £150k + Equity Location: Central London, 5 days onsite Salary: £80,000 – £150,000 + Equity About Them Our client are a fast-growing AI startup revolutionising the video intelligence space. They've been building a cutting-edge video AI platform that delivers real-time insights and exceptional user experiences across various industries. Their … team, composed of experienced professionals from leading technology firms, is tackling cutting-edge challenges at the intersection of machine learning, infrastructure, and product development. Responsibilities Fine-tune open-source PyTorch models using proprietary datasets. Convert and optimise models for high-performance C++ runtimes. Design and execute experiments balancing latency, accuracy, and robustness. Integrate ML models into production pipelines and … own downstream performance metrics. Maintain and improve existing ML systems in our production environment. Stay current with deep learning research and propose practical applications in the video AI domain. About you Solid software engineering skills with a focus on writing production-grade code. Strong foundations in machine learning. Experience with PyTorch and Python 3; familiarity with C++ preferred. More ❯