76 to 100 of 107 Deep Learning Jobs in the South East

Type: Full-time and Permanent Remuneration (London; On-site): £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 from the US and the UK … including institutional VC funds and C-level executives of global technology companies. The role involves the design and development of backend infrastructure for Machine Learning workloads. You will be working closely with the Machine Learning team; however, you are not required or expected to have background in Machine Learning. This is an applied role, and we are looking … stakeholders. We would like to acknowledge that almost no candidate checks every box – and that is perfectly fine. If you are passionate about solving complex challenges and open to learning new technologies, we would love to hear from you. Nice to have: Machine Learning: Experience in generative models, LLMs, multi-modal models and Deep Learning more More ❯

Type: Full-time and Permanent Remuneration (London; On-site): £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 from the US and the UK … including institutional VC funds and C-level executives of global technology companies. The role involves the design and development of backend infrastructure for Machine Learning workloads. You will be working closely with the Machine Learning team; however, you are not required or expected to have background in Machine Learning. This is an applied role, and we are looking … stakeholders. We would like to acknowledge that almost no candidate checks every box – and that is perfectly fine. If you are passionate about solving complex challenges and open to learning new technologies, we would love to hear from you. Nice to have: Machine Learning: Experience in generative models, LLMs, multi-modal models and Deep Learning more More ❯

Type: Full-time and Permanent Remuneration (London; On-site): £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. Backed by prominent investors from the US and UK, including institutional VC … funds and C-level executives of global tech companies. The role involves designing and developing backend infrastructure for Machine Learning workloads. You will work closely with the Machine Learning team but are not required to have a background in Machine Learning. This is an applied role, seeking a software engineer experienced in cloud computing and distributed systems. In … working with technical and non-technical stakeholders. We recognize no candidate checks all boxes — passion for solving complex challenges and willingness to learn are key. Nice to have: Machine Learning experience: Generative models, LLMs, multi-modal models, Deep Learning. Open-source contributions: Experience in open-source projects. Startup experience: Familiarity with startup environments. Experience in cutting-edge AI More ❯

Type: Full-time and Permanent Remuneration (London; On-site): £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 from the US and the UK … including institutional VC funds and C-level executives of global technology companies. The role involves designing and developing backend infrastructure for Machine Learning workloads. You will work closely with the Machine Learning team but are not required to have a background in Machine Learning. This is an applied role, seeking a software engineer with experience in cloud computing … and willingness to learn are key. We look forward to your application if you fit this mindset. Nice to have: Experience with generative models, LLMs, multi-modal models, and Deep Learning. Contributions to open-source projects. Startup experience. Experience in cutting-edge AI research environments. Official role of “Founding Engineer” for immediate impact. #J-18808-Ljbffr More ❯

Type: Full-time and Permanent Remuneration (London; On-site): £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 from the US and the UK … including institutional VC funds and C-level executives of global technology companies. The role involves designing and developing backend infrastructure for Machine Learning workloads. You will work closely with the Machine Learning team but are not required to have a background in Machine Learning. This is an applied role, seeking a software engineer with experience in cloud computing … technical and non-technical stakeholders. We acknowledge that few candidates meet all criteria—passion for solving complex challenges and willingness to learn are highly valued. Nice to have: Machine Learning experience: Knowledge of generative models, LLMs, multi-modal models, and Deep Learning. Open-source contributions: Participation in open-source projects. Startup experience: Familiarity with startup environments and ecosystems. More ❯

Full-time and Permanent Remuneration (London; On-site): £70–90k Base Salary + Discretionary Bonus + Equity Company: We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team comprises Cambridge graduates and former engineers at Microsoft, Bloomberg, and Goldman Sachs. We are backed by prominent investors from the US and the UK, including … institutional VC funds and C-level executives of global technology companies. Role Description: The role involves designing and developing backend infrastructure for Machine Learning workloads. You will work closely with the Machine Learning team but are not required to have a background in Machine Learning. This is an applied role seeking a software engineer experienced in cloud computing … passionate about solving complex challenges and eager to learn new technologies, we want to hear from you. Nice to Have: Experience with generative models, LLMs, multi-modal models, and Deep Learning. Contributions to open-source projects. Startup experience and working in cutting-edge AI research environments. Official role of “Founding Engineer” with impact from day one. Additional benefits include More ❯

role Nice to have skills, but optional: Knowledge of Python Experience using Agile/Change methodologies What's involved: Find opportunities for, scope out and develop data services, including deep learning, predictive analytics and machine learning, that help to solve business problems Manage a team of Data Scientists, reviewing outputs, planning delivery timelines, developing talent and internal … reasonable duties Experience & knowledge Extensive hands-on experience applying data science techniques to general insurance predictive modelling problems Strong track record of stakeholder management, modelling projects and successful deployment Deep understanding and familiarity with a variety of statistical models (eg GBMs, GLMs, clustering techniques, etc) Familiarity with UK open source data and datasets valuable to personal lines insurance pricing 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 ❯

Social network you want to login/join with: 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: 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 ❯

network you want to login/join with: Deliver end-to-end data science solutions in a consultancy environment Build and deploy custom forecasting models (e.g., time series, XGBoost, deep learning) Implement reinforcement learning techniques for dynamic prediction Apply causal inference and graph AI methods to uncover complex relationships Develop and containerize models using Docker Work within … modern CI/CD pipelines to streamline deployment Operate in a cloud environment (AWS preferred) Required Skills & Experience: Strong experience as a Full Stack Data Scientist Deep expertise in time series forecasting and machine learning (XGBoost, deep learning, reinforcement learning) Practical knowledge of Causal AI and Graph AI methodologies Proficiency in Python for data science More ❯

enrichment of any data, DataVisor's solution scales infinitely and enables organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine and investigation tools work together to provide guaranteed performance lift from day one. DataVisor's platform is architected to support multiple use … has been adopted by many Fortune 500 companies across the globe. Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results driven. Come join us! Summary: As platform engineers, we are building a next-generation machine learning platform, which incorporates our secret sauce, UML (unsupervised machine learning) with other SML (supervised machine learning) algorithms. Our team works to improve our core detection algorithms and automate the full training process. As complex fraud attacks become more prevalent, it is more important than ever to detect fraudsters in real-time. The platform team is responsible for More ❯

Posted: 31.05.2025 Expiry Date: 15.07.2025 col-wide Job Description: 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 ❯

Social network you want to login/join with: 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 … 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 … 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 Exposure to 3D environments, animation, or game engines Comfort working in cross-disciplinary teams (engineering x creative) A portfolio of personal or open-source projects More ❯

Social network you want to login/join with: Machine Learning Engineer - Up to £150k + Equity, slough col-narrow-left Client: Oliver Bernard Location: slough, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 4 Posted: 31.05.2025 Expiry Date: 15.07.2025 col-wide Job Description: Machine Learning Engineer - Up to £150k + … 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. More ❯

running systematic cash equity strategies. They are looking for a Quantitative Researcher with demonstrated experience conducting alpha research on cash equities. The ideal hire would have experience applying machine learning and/or statistical learning techniques to develop models to enhance the trading process. The fund prides itself on its high-quality data, robust infrastructure, and a collaborative … culture. This would be an opportunity to learn from a diverse team, with extensive sell and buy-side experience. Responsibilities Developing alpha strategies from global cash equities. Leveraging machine learning tools to identify alpha signals from traditional, fundamental, and alternative datasets. Collaborating with the PM, supporting with idea generation, data analysis, and backtesting. Contributing to the research and trading … Factor Modelling. Requirements Advanced degree in a quantitative field such as Mathematics, Physics, Statistics, or Engineering. Demonstrated experience developing systematic cash equity/statistical arbitrage strategies. Experience with machine learning models and/or statistical learning models (e.g. LLMs, neural networks, Deep Learning models, etc.). Capacity to excel in a fast-paced environment. Strong coding More ❯

Month Contract (Parental Leave Cover) Location: Remote or Reading, UK Start Date: August 18, 2025 | End Date: October 31, 2026 Are you passionate about empowering developers and driving impactful learning campaigns across Europe? Join a global tech leader as a Developer Marketing Manager and lead initiatives that educate, inspire, and engage millions of developers in cutting-edge fields like … AI, deep learning, data science, and high-performance computing. This is an exciting opportunity to own and scale education-focused marketing programs across EMEA, supporting a world-class training platform that has already reached nearly a million developers. What You’ll Do Manage EMEA-level marketing for technical training programs, including integrated campaigns, events, media outreach, influencer collaboration … equivalent in marketing, business, or a related field. Fluent English and excellent written, verbal, and cross-functional communication skills. Bonus Points Experience marketing to developers in AI/ML, deep learning, or parallel computing environments. Previous engagement with startup ecosystems and developer communities. Additional language skills, especially a Nordic language. Join a mission-driven, global team where you More ❯

Month Contract (Parental Leave Cover) Location: Remote or Reading, UK Start Date: August 18, 2025 | End Date: October 31, 2026 Are you passionate about empowering developers and driving impactful learning campaigns across Europe? Join a global tech leader as a Developer Marketing Manager and lead initiatives that educate, inspire, and engage millions of developers in cutting-edge fields like … AI, deep learning, data science, and high-performance computing. This is an exciting opportunity to own and scale education-focused marketing programs across EMEA, supporting a world-class training platform that has already reached nearly a million developers. What You’ll Do Manage EMEA-level marketing for technical training programs, including integrated campaigns, events, media outreach, influencer collaboration … equivalent in marketing, business, or a related field. Fluent English and excellent written, verbal, and cross-functional communication skills. Bonus Points Experience marketing to developers in AI/ML, deep learning, or parallel computing environments. Previous engagement with startup ecosystems and developer communities. Additional language skills, especially a Nordic language. Join a mission-driven, global team where you More ❯

mode and are looking to advance their capabilities, increase the quality of their offering and evolve their platform. Required experience for the Senior/Principal AI Engineer role: Machine learning (ML), deep learning and statistical analysis skills – even better if these skills have been applied to threat detection, malware analysis, phishing and/or abuse detection. Experience More ❯

multiple academic partners in Thailand and Australia in a project funded by the British Council, and you will be responsible for investigating the latest developments in computer vision and Deep Learning to develop powerful and versatile AI systems and user-friendly software able to automatically process images from still photos and videos and export detailed reports incorporating statistical … and experience. You are required to have extensive research experience in Biosciences and Bioinformatics using Python and R and practical experience of applying these skills and techniques in Machine Learning models and software development. High level analytical capability is essential, alongside excellent oral and written presentation skills. Experience in delivery of training seminars, workshops, technical meetings would also be … academics and research scientists working in diverse areas from crop genome assemblies to soil science and food safety and security using state of the art bioinformatics tools and machine learning methodologies and assist with the group’s teaching and outreach activities. Our Values and Commitments Our shared, stated values help to define who we are and underpin everything we More ❯

and alignment techniques. Collaboration & Experimentation : Work closely with software engineers and product managers to test ideas and bring innovative features to life. Requirements: NLP & ML Background : Strong experience in deep learning and natural language processing, with an emphasis on large language models. Tooling Fluency : Comfortable with libraries like Hugging Face, LangChain, or PyTorch, and evaluation frameworks. Production Readiness More ❯

General Theory for Big Bayes" and Grenoble IDEX. Interested applicants should write to us with: a letter of interest, CV, and should require two recommendation letters. Context Bayesian deep learning brings together two of the most important machine learning paradigms: Bayesian inference and deep learning. On the one hand, Bayesian learning provides a theoretically sound … framework to formalise the estimation of the architecture and the parameters of deep neural network models. On the other hand, deep learning offers new tools in Bayesian modelling, e.g. to learn flexible nonparametric priors or computationally efficient posterior distribution approximations. State of the art The field of machine learning has recently been much impacted by deep learning. Deep neural networks are now at the basis of the state-of-the-art in computer vision, natural language processing, to cite just a few. While very effective, these models are computationally costly and require large quantities of data for their many parameters to be accurately estimated. Bayesian statistics offers a theoretically well-grounded framework to reason More ❯

junior engineering & data science hires. Requirements Strong academic background in a relevant field (Statistics, Computer Science, etc.) Years of commercial experience working on and deploying recommendation engines Excellent Machine Learning and Deep Learning skills Experience of working and deploying at scale Knowledge Graph and entity linking experience If this role interests you and you would like to More ❯

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 Knowledge of either Python or Go. Confident using technologies such as Typescript & React. Experienced with databases such as Redis & Postgres 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. Experience with PyTorch and Python 3; familiarity with C++ preferred. Experience with containerisation (Docker), model profiling. Why Join Them Work with top engineers and AI researchers from leading tech firms and academic institutions. More ❯

will collaborate closely with their engineering team in Asia to drive the technology roadmap. The ideal candidate will have a strong background in SaaS B2B applications, AI, and machine learning, with an understanding of the retail software solutions landscape. The tech stack includes Node.js, Golang, Python, GraphSQL, Postgres, Terraform, React.js, Angular, and Typescript. Key Responsibilities: Lead and manage complex … optimal performance. Qualifications: 8+ years of engineering experience, with 2-3 years in leadership roles. Proven expertise in SaaS B2B applications and related business models. Knowledge of AI, machine learning, NLP, and deep learning frameworks. Familiarity with foundation and multi-modal models. Proficiency in cloud computing and data processing technologies. Preferable experience in retail software solutions. Leadership … experience in multicultural startup environments. Strategic mindset, continuous learning, and tech-savviness. Experience with organizational and technical change is a plus. What They Offer: Opportunity to work in a diverse, multicultural tech environment. Leadership role shaping the future of SaaS B2B applications. Competitive salary and professional growth opportunities. If you are a dynamic leader passionate about SaaS and B2B More ❯

and maintains enterprise-grade bespoke solutions that deliver tangible value. We are looking for a Senior Program Manager for one of our clients, a technology AI company focused on deep learning, computer vision, and mapping. The Senior Program Manager will manage projects and pilots with our European customers, such as system implementations, and provide end-to-end program … with technical products. Experience leading the overall project efforts of at least 3 new products in production. Strong technical background in connected device software, data as a product, machine learning, and cloud systems. Experience working closely with multidisciplinary technical teams to drive customer solutions. Knowledge of tools and techniques for managing complex project development through its entire lifecycle. Experience More ❯