1 to 25 of 70 Permanent Deep Learning Jobs in the South East

Machine Learning Researcher/Deep Learning/World Leader Machine Learning Researcher required in London or Cambridge area to join a world leading organisation with a highly reputable Machine Learning/Deep Learning team. You will have come from an exceptional academic background … and be well published in Machine Learning and Deep Learning research looking to work on the forefront of what is possible in AI/Machine Learning Research. Any exposure in Reinforcement Learning , LLM's are all beneficial as well as any exposure to electronics and … semiconductors market. What's most important is someone with a real mind and determination for achieving something that's never been done before. Machine Learning Researcher/Deep Learning/World Leader More ❯

Research Fellow in Deep Learning for Robot Audition Are you keen to pioneer machine learning models that address the challenges of robot perception? We are recruiting a research fellow who will work on our EPSRC-funded research project on "Active Audition for Robots (ActivATOR)" under the direction … of Dr Christine Evers. The position will be in the Vision, Learning and Control (VLC) Group, which is part of the School of Electronics and Computer Science in the University of Southampton. ActivATOR will develop novel machine learning models that enable robots to leverage the motion of their … own bodies ('egomotion') to make sense of acoustic environments (e.g., shopping malls). Located at the intersection of machine learning, robotics, and acoustic signal processing, the project will bring together a highly interdisciplinary team of researchers, industry partners, and external academic collaborators. The position is available on a fixed More ❯

Grenoble IDEX. Application Instructions 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 More ❯

Machine Learning Engineering Manager | Computer Vision | Deep Learning | Python | C++ | London, Hybrid We are seeking an Engineering Manager to join our Applied Machine Learning team , focused on delivering innovative experiences and insights for coaches, athletes, and fans. This role leads high-impact initiatives using advanced computer … vision and deep learning technologies at scale—powering sports experiences from elite organizations to local communities. Key Responsibilities Deliver Results : Independently manage a multidisciplinary team of 5 to 10 Engineers and Data Scientists. Drive progress toward quarterly and annual goals, while ensuring high-impact outcomes for users and … and monitoring complex AI/ML systems operating in production at scale. Technical Proficiency : Strong experience in several of the following domains: Classical and deep learning-based computer vision Multi-view geometry GPU-accelerated computing Edge inference Large language models (LLMs) Real-time systems Signal processing Excellent Communication More ❯

Ensure the system's scalability, flexibility, and efficiency to handle large algorithms. Algorithm Development: Develop and implement advanced AI algorithms and models, including machine learning, deep learning, and neural networks. Continuously evaluate and improve these algorithms to enhance system performance and accuracy. Data Integration: Identify relevant data … to ensure the quality and relevance of data for AI model training. Model Training and Evaluation: Train AI models using supervised, unsupervised, or reinforcement learning techniques. Implement evaluation methodologies to measure the performance and effectiveness of trained models. Fine-tune models based on feedback and data insights. Neural Network … Design: Design and optimize deep learning neural networks for various AI tasks, such as natural language processing, computer vision, recommendation systems, and predictive analytics. Implement innovative architectures and techniques to improve model accuracy and efficiency. System Integration: Collaborate with software developers and engineers to integrate AI systems into More ❯

Senior Machine Learning Engineer | Computer Vision | Deep Learning | Python | C++| London, Hybrid We are looking for a Senior Machine Learning Engineer to help deliver new experiences and insights to coaches, athletes, and fans across all levels of sport. In this role, you’ll lead impactful projects … using cutting-edge computer vision and deep learning at scale—from professional organizations to grassroots teams. Key Responsibilities ML at Scale : Design, build, and deploy machine learning models and systems for both cloud and edge environments, supporting thousands of concurrent sports events. Project Leadership : Take ownership of … culture of trust and support that allows you to own your work and explore new ideas. Career Growth : Access to development opportunities, resources, and learning programs. Tech-Enabled Work : Whether remote or on-site, we provide the tools and environment you need to thrive. Wellbeing Support : Resources to support More ❯

Machine Learning Research Scientist | Generative Models | Protein Design | Deep Learning | Python | Hybrid, LDN We are looking for multiple highly skilled machine learning researchers with strong expertise in generative modeling is sought to join an interdisciplinary team of machine learning experts, protein engineers, and biologists. The … 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. … 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 More ❯

our core vision capabilities. This role offers a unique opportunity to push the boundaries of AI in practical applications, utilizing cutting-edge Computer Vision, Deep Learning, and MLOps technologies. Key Responsibilities: Develop and optimize high-performance Computer Vision and deep learning algorithms for real-time monitoring. … Participate in code reviews, debugging, and validation/testing to ensure high-quality, maintainable code. Stay updated with industry trends in AI/ML, deep learning architectures, and MLOps best practices. About You: 4+ years of hands-on experience developing Computer Vision and Deep Learning models More ❯

Machine Learning/Semantic Web - FTC (6 Months) - West London We have an opportunity available for an experienced AI/ML Engineer to join a team based in Egham. This position requires immediate start so we politely request that you only apply if you are available to start within … support. Focus on AI-driven energy management systems advancing sustainability and intelligent energy solutions for homes and businesses. Main Responsibilities: Develop and optimize machine learning models for disease prediction and early diagnosis. Process and analyze structured and unstructured health data - Implement deep learning for predictive healthcare applications. … AI-driven user personalization for visually impaired individuals. Develop AI-powered accessibility solutions. Ensure compliance with data privacy and ethical AI guidelines. Essential: Machine learning & deep learning - Proficiency in TensorFlow (2.x), PyTorch, Scikit-Learn. Strong skills in Python, experience with R or JavaScript is a plus. Experience More ❯

About the role Sahaj Software are looking for a Lead Data scientist with strong background in data mining, machine learning, recommendation systems, and statistics. You should possess signature strengths of a qualified mathematician with ability to apply concepts of Mathematics, Applied Statistics, with specialisation in one or more of … on coding capabilities is needed to own and deliver outcomes. A Master’s or PhD Degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) or equivalent experience, 7+ years of industry experience in predictive modelling, data science and analysis, with prior experience in … of-the-art methods, create text mining pipelines to clean & process large unstructured datasets to reveal high quality information and hidden insights using machine learning techniques. Should be able to appreciate and work on Computer Vision problems – for example extract rich information from images to categorise and process visual More ❯

Machine Learning Engineer (3D, Graphics, VFX) – 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 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-time 3D systems . This is a chance to push the boundaries of digital human performance, runtime tracking, and facial capture—projects that directly power high-end experiences. You’ll collaborate closely with a world-class VFX team, helping automate … 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 More ❯

Company Overview Our client is at the forefront of leveraging cutting-edge artificial intelligence and machine learning technologies to drive investment strategies and generate alpha. We are seeking an exceptional AI Tech Lead to spearhead the technological innovation and AI implementation across quantitative research and trading operations. Job Description … be responsible for designing, developing, and implementing advanced AI solutions that transform our investment decision-making processes. This role requires a unique blend of deep technical expertise, strategic thinking, and financial domain knowledge. Key Responsibilities Lead the architectural design and implementation of AI/ML systems for quantitative trading … and investment research Develop and maintain sophisticated machine learning models for predictive analytics, market forecasting, and trading strategy optimization Architect scalable and high-performance AI infrastructure capable of processing vast amounts of financial data in real-time Collaborate closely with quantitative researchers, data scientists, and trading teams to translate More ❯

prestigious Barclays TechStars programme in 2017 and Mastercard Start Path in 2018. Today, they boast a world-class team of experts, including PhDs with deep domain knowledge across finance and beyond. About the Role: They’re on the lookout for a talented and driven individual to join their AI … team as an intern. This is an exceptional opportunity to work on state-of-the-art research and development at the intersection of deep learning and simulation. You’ll contribute to groundbreaking projects in financial services, craft innovative hybrid models, and have your work presented to clients, and … potentially at top-tier AI conferences. Responsibilities: • Design and implement novel techniques that integrate deep learning with simulation models for financial applications. • Build hybrid models that leverage neural networks to approximate unknown functions in complex simulations. • Explore the potential of vision-language models in simulated financial environments. • Apply More ❯

frameworks, and tools. Application Development with LLMs: Experience in building scalable applications using LLMs, utilizing frameworks such as LangChain, LlamaIndex, etc and productionizing machine learning and AI models. Language Model Development: Utilize off-the-shelf LLM services, such as Azure OpenAI, to integrate LLM capabilities into applications. Cloud Computing … Cloud Services. Technical Proficiency: Strong skills in UNIX/Linux environments and command-line tools. Programming and ML Skills: Proficiency in Python, with a deep understanding of machine learning algorithms, deep learning, and generative models. Advanced AI Skills and Testing: Familiarity with deep learning More ❯

team to support ambitious growth and deeper market penetration. The Role They’re looking for a Lead Data Scientist to architect a next-generation, deep learning-based time series forecasting engine. This engine will sit at the core of their dynamic energy marketplace, shaping critical decisions across pricing … prep- freeing you up to focus on advanced modeling and experimentation. What You’ll Do Design and build robust long-term forecasting models using deep learning techniques (LSTMs, RGUs, deep fusion models), though strong statistical or machine learning backgrounds are also welcome. Take a contextual approach … experience working with time series forecasting; long-term forecasting is a plus, but strong short-term expertise is also valuable. Proven track record using deep learning for time series forecasting. Comfortable collaborating across teams and clearly communicating complex ideas. Experienced in mentoring junior team members. Nice to have More ❯

early-stage drug discovery, collaborating with cross-functional teams across biology, chemistry, and data science. Stay current with the latest research in computer vision, deep learning, representation learning, and multi-modal data integration. Communicate findings through reports, presentations, and scientific publications to both internal and external stakeholders. … or a related field. High level of enterprise experience working in Computer Vision and SME experience in three key fields: Foundation models Self-supervised learning Vision transformers. Professional hands-on experience with pretraining or fine-tuning foundation models for computer vision tasks. Proven expertise in multi-modal data integration … and representation learning, ideally applied to biological or pharmaceutical problems. Advanced programming skills in Python, with SME knowledge of deep learning frameworks in PyTorch, Hugging Face, or PyTorch Lightning. Proficiency in modern software development practices: version control (Git), continuous integration, testing, and Python packaging (e.g., uv). More ❯

with software engineering, requiring a comprehensive understanding of both domains. You will have opportunity to work on a variety of projects spanning across Machine learning and Generative AI. About you Advanced degree in AI, Computer Science, Mathematics, or a related quantitative field. Proven knowledge of Generative AI and hands … on experience of building applications with large foundation models. Solid understanding of fundamentals of statistics, optimisation and ML theory. Familiarity with popular deep learning architectures (transformers, autoencoders, VAE, etc). Expert understanding of Prompt engineering approaches, query retrieval strategies, and other relevant AI application components. Ability to develop … highly scalable classifiers and tools leveraging machine learning, time series predictive methods, and deep learning models. Experience in Explainable Artificial Intelligence (XAI) with a focus on Large Language Models (LLMs), and metrics for assessing fairness, transparency, and interpretability in the complex AI models. Experience in working with More ❯

the business invest in new AI based products for a recognisable brand. The Senior Data engineer will develop and implement data science and machine learning algorithms to facilitate the development of new AI products and help shape Data Science strategy across the business. This company offer flexible hybrid working … culture and are committed to investing in new technology and R&D. Required skills and technologies 5+ years’ experience in a Data Engineering, Machine Learning, Data Scientist role, or similar Commercial experience with Machine learning, Deep Learning or Advanced Analytics, and relevant tools Strong background in More ❯

Computer Science, Engineering, or a related field • 5+ years of experience deploying AI/ML models in production settings • Proficient in Python, C++, and deep learning frameworks like PyTorch or Jax • Skilled in distributed training (e.g., DDP, FSDP) and model performance optimization • Experience with GPU architectures, cloud platforms … hardware tradeoffs • Familiarity with low-level hardware tuning and custom CUDA kernel development Key Responsibilities • Develop cutting-edge AI models for drug discovery using deep learning frameworks • Scale and optimize distributed training of large AI models on GPUs • Enhance performance of AI models during both training and inference … impactful research at the AI-healthcare frontier • Access to professional growth via conferences, workshops, and training • Inclusive, collaborative culture focused on innovation and continuous learning If you meet 60-70% of the requirements I would love to hear from you. Click the Easy Apply button More ❯

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 … 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 More ❯

Looking for a deep learning role that could make the Mariana trench seem like a puddle? This global investment manager hires asset class experts, such as an ex-portfolio manager from a Tier 1 hedge fund to grow and manage risk. You’re going to be part of … headcount growth this year to over 1000 which includes a 20% increase into research. You’ll collaborate to develop different machine learning models for trading strategies and create high quality signals. You'll be working at an MFT systematic multi-strat fund whose performance has been top tier over … an investment firm of this calibre. You will ideally have prior experience in a fund within financial services with a strong background in machine learning or a related field. Proficiency in Python/R and experience with deep learning frameworks such as PyTorch or TensorFlow will also More ❯

to develop your career and the solutions we deliver for our clients. In this role you will: Solve challenging business problems using advanced machine learning methods such as Deep Learning and quantitative analytics. Understand business requirements and support the development of business cases. Run discovery analytics to … identify new and innovative opportunities. Partner with developers and engineers to deploy machine learning algorithms to deliver business value. Define approaches to embed and scale machine learning models. Build reusable assets, solutions and develop best practices for current and future business problems. Consult on complex analyses and advanced … machine learning methods. Communicate and provide guidance to senior client leadership and teams. Contribute data science expertise to new sales activities. Shape DS Strategy and the delivery of DS solutions. Operate across multiple industries and functions. Develop others by bringing your unique knowledge and skillsets to the wider practice. 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 More ❯

months) | Full-Time (40 hours/week) Location: Remote/Hybrid About the Role: We are seeking a Senior or Lead Data Scientist with deep expertise in Generative AI, NLP, Deep Learning, and Machine Learning to join an innovation-focused AI Center of Excellence. In this … drive transformation across the organization. Key Responsibilities: Lead the development and deployment of AI/ML models with a focus on LLMs, NLP, and deep learning. Collaborate with cross-functional teams to integrate AI capabilities into products and workflows. Conduct research, model fine-tuning, and validation using frameworks like More ❯