1 to 25 of 89 Deep Learning Jobs in the South East

helping define product strategy. In this role, you will: Lead AI strategy and execution in a high-ambiguity environment. Build, train, and deploy state-of-the-art models (e.g., deep learning, NLP, computer vision, reinforcement learning, or relevant domain-specific architectures). Design infrastructure for data ingestion, annotation, experimentation, model versioning, and monitoring. Collaborate closely with product … helping define product strategy. In this role, you will: Lead AI strategy and execution in a high-ambiguity environment. Build, train, and deploy state-of-the-art models (e.g., deep learning, NLP, computer vision, reinforcement learning, or relevant domain-specific architectures). Design infrastructure for data ingestion, annotation, experimentation, model versioning, and monitoring. Collaborate closely with product … quarter AI roadmap aligned with product milestones and fundraising milestones. Identify and evaluate opportunities for AI-driven competitive advantages (e.g., proprietary data, unique model architectures, transfer/few-shot learning). Collaborate with business stakeholders to translate “big problems” into technically feasible AI solutions. Data & Infrastructure Oversee the creation and maintenance of scalable data pipelines (ETL/ELT) and More ❯

their business needs. Your work will range from training next-generation AI cybersecurity firewall LLMs to training foundation genomic models making predictions about life-saving drug proteins. Having a deep curiosity about the hardest questions about LLMs will also motivate various research opportunities on how to apply ML to the forefront of enterprise data. If you are excited about … techniques to integrate tool-calling into production-serving LLMs. Work closely with customers - some of the most sophisticated ML organizations in the world - to quickly prototype and build new deep learning models targeted at multi-modal content understanding problems. Ideally you’d have: At least 1-3 years of model training, deployment and maintenance experience in a production … environment. Strong skills in NLP, LLMs and deep learning. Solid background in algorithms, data structures, and object-oriented programming. Experience working with a cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment. Experience building products with LLMs including knowing the ins and outs of evaluation, experimentation, and designing solutions to get More ❯

their business needs. Your work will range from training next-generation AI cybersecurity firewall LLMs to training foundation genomic models making predictions about life-saving drug proteins. Having a deep curiosity about the hardest questions about LLMs will also motivate various research opportunities on how to apply ML to the forefront of enterprise data. If you are excited about … techniques to integrate tool-calling into production-serving LLMs. Work closely with customers - some of the most sophisticated ML organizations in the world - to quickly prototype and build new deep learning models targeted at multi-modal content understanding problems. Ideally you’d have: At least 1-3 years of model training, deployment and maintenance experience in a production … environment Strong skills in NLP, LLMs and deep learning Solid background in algorithms, data structures, and object-oriented programming Experience working with a cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment Experience building products with LLMs including knowing the ins and outs of evaluation, experimentation, and designing solutions to More ❯

Product and Research teams. Technical Skills – Must have: • AI Solution Architects are data and analytics professionals with at least 5 years of experience with knowledge of Transformer (and other Deep Learning) Architectures, data lake architectures, data integration, and data governance, and at least 2 years of experience with cloud-based AI/ML technologies (such as tools from … and Microsoft Azure. Technical Skills – Good to have: • Expertise in any one framework (TensorFlow, Pytorch, Keras) • Experience in a statistical programming language (e.g. R or Python) and applied machine learning and AI techniques (i.e computer vision, deep learning, conversational AI, and natural language processing frameworks.) • Experience with Transforms Architecture Design, specializing LLM (Zero/Few Shot Training … knowledge on API’s & Integrations, Patterns. • Extensive knowledge of big data technologies • Knowledge on Statistical Methods • OTHER SKILLS WE'D APPRECIATE 1. Understanding of NLP engines, Artificial Intelligence, Machine Learning frameworks etc. EDUCATION QUALIFICATION • Graduate in Engineering OR master’s in computer applications. Process Skills: • General SDLC processes • Understanding of utilizing Agile and Scrum software development methodologies • Skill in More ❯

Associate Director, Data Science and Innovation Are you a data science leader passionate about leveraging AI and machine learning to drive innovation in financial markets and transaction banking? Standard Chartered Bank is on an ambitious journey to embed cutting-edge AI solutions into all aspects of our Corporate and Investment Banking (CIB) business. We are looking for a senior … data scientist with expertise in both classical machine learning and the latest advancements in Large Language Models (LLMs) to help shape the future of financial services. Responsibilities Collaborate with product owners and business stakeholders to identify pain points, define use cases, and translate business needs into AI/ML solutions. Develop, test, and optimize AI models, ensuring they align … and analytics projects. Support risk and audit management for AI applications, identifying potential risks and ensuring compliance with regulatory frameworks. Skills and Qualifications Skills & Expertise Strong experience in machine learning, deep learning, and statistical analysis. Expertise in Python, with proficiency in ML and NLP libraries such as Scikit-learn, TensorFlow, Faiss, LangChain, Transformers and PyTorch. Experience with More ❯

their business needs. Your work will range from training next-generation AI cybersecurity firewall LLMs to training foundation genomic models making predictions about life-saving drug proteins. Having a deep curiosity about the hardest questions about LLMs will also motivate various research opportunities on how to apply ML to the forefront of enterprise data. If you are excited about … techniques to integrate tool-calling into production-serving LLMs. Work closely with customers - some of the most sophisticated ML organizations in the world - to quickly prototype and build new deep learning models targeted at multi-modal content understanding problems. Ideally you’d have: At least 1-3 years of model training, deployment and maintenance experience in a production … environment Strong skills in NLP, LLMs and deep learning Solid background in algorithms, data structures, and object-oriented programming Experience working with a cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment Experience building products with LLMs including knowing the ins and outs of evaluation, experimentation, and designing solutions to More ❯

Join to apply for the Machine Learning Engineer, London role at Fitch Group, Inc. Join to apply for the Machine Learning Engineer, London role at Fitch Group, Inc. Fitch Group is currently seeking a Machine Learning Engineer based out of our London office. As a leading, global financial information services provider, Fitch Group delivers vital credit and … data at Fitch? Visit: https://careers.fitch.group/content/Technology-and-Data/About The Team The Fitch Group’s AI Implementation Chapter is seeking a Machine Learning Engineer to be part of a team dedicated to building and supporting Generative AI, Machine Learning (ML) and Data Science solutions across the Fitch Ratings organization. This position … Exposure/experience in containerization technologies like docker, Kubernetes, AWS EKS etc. Proficiency in ML algorithms, such as multi-class classification, decision trees, support vector machines, and neural networks (deep learning experience strongly preferred) Knowledge of popular Cloud computing vendor (AWS and Azure) infrastructure & services e.g., AWS Bedrock, S3, SageMaker; Azure AI Search, OpenAI, blob storage, etc. Bachelor More ❯

Location: London/York Type: Permanent Band: 3 As a Principal Data Scientist at Hiscox, you will play a pivotal role as a critical thinker for Hiscox, applying your deep expertise to address our most intricate business challenges and uncover significant opportunities within our data landscape. You will utilise your technical skills and innovative mindset to tackle complex business … Strong understanding of intricate business challenges and translation into technical problem statements. o Working with diverse datasets, both internal and external. o Expert application and development of advanced machine learning or statistical modelling techniques to generate actionable insights and deliver measurable impact. • Provide hands-on technical mentorship and guidance to junior and mid-level data scientists, fostering best practices … Key Technical Skills: • Exceptional proficiency in Python (and R) for data science, coupled with SQL capabilities for data manipulation and extraction. • Demonstrable mastery in a wide range of machine learning and statistical modelling techniques, from classical linear models and tree-based methods to advanced deep learning architectures. • Practical experience with, or demonstrable capability for, applications of Generative More ❯

share them across teams and leadership. Interact with customers directly to understand the business problem, help and aid them in the implementation of generative AI solutions, deliver briefing and deep dive sessions to customers and guide customers on adoption patterns and paths for generative AI. Create and deliver reusable technical assets that help to accelerate the adoption of generative … Product and Engineering teams to help define product direction. About the team Generative AI Innovation Center is a program that pairs you with AWS science and strategy experts with deep experience in AI/ML and generative AI techniques to: - Imagine new applications of generative AI to address your needs. - Identify new use cases based on business value. - Integrate … professional, non-internship software development. Experience coding in Python, R, Matlab, Java or other modern programming languages. Several years of relevant experience in developing and deploying large scale machine learning or deep learning models and/or systems into production, including batch and real-time data processing, model containerization, CI/CD pipelines, API development, model training More ❯

Join to apply for the Machine Learning Engineer role at Proximie 2 weeks ago Be among the first 25 applicants Join to apply for the Machine Learning Engineer role at Proximie Get AI-powered advice on this job and more exclusive features. Five billion people in the world do not have access to safe and affordable surgery, and … to turn every activity and event in the operating room into comprehensive, structured, and context-rich data that drive better insights and decision making we are seeking two machine learning engineers to join our data team. Using your deep technical expertise and real-world experience you will be instrumental in developing and deploying machine learning solutions that … improve clinical outcomes, drive productivity and support Proximie’s continuing evolution into the unrivalled champion of the intelligent operating room. The first machine learning engineer position will work with multi-modal data (audio, vision, and language) to curate, consolidate, and augment retrospective and prospective datasets that fuel the development of advanced machine learning solutions. You’ll harness the More ❯

rapidly share them across teams and leadership - Interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths for generative AI - Create and deliver reusable technical assets that help to accelerate the adoption of generative … Product and Engineering teams to help define product direction. About the team Generative AI Innovation Center is a program that pairs you with AWS science and strategy experts with deep experience in AI/ML and generative AI techniques to: - Imagine new applications of generative AI to address your needs. - Identify new use cases based on business value. - Integrate … our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising More ❯

Senior Machine Learning Scientist - Search Join to apply for the Senior Machine Learning Scientist - Search role at Depop Senior Machine Learning Scientist - Search Join to apply for the Senior Machine Learning Scientist - Search role at Depop Company Description Depop is the community-powered circular fashion marketplace where anyone can buy, sell and discover desirable secondhand fashion. … the application to adjustments@depop.com. For any other non-disability related questions, please reach out to our Talent Partners. Job Description Depop is looking for a versatile Senior Machine Learning Scientist to join our Search & Ranking team in the UK. As part of the team you will work alongside a Product Manager, Backend Engineers and other ML Scientists playing … to power Depop’s search engine and ranking across the app. Responsibilities You will: Research, design and deliver ML solutions to take on problems within the search & discovery space: Learning-to-rank models Vector search & embedding models etc. Understand requirements from various partners across the business, designing machine learning solutions to address business problems, such as: How can More ❯

in generative AI with personalized search and recommendation systems. As a Principal Scientist in MSAI, you will work in an exciting and fast-paced, collaborative environment. You'll bring deep expertise in large language models (LLMs), information retrieval, and machine learning to improve the quality and scalability of M365 Copilot.You'll partner closely with engineering and product teams … that help users accomplish more with less effort. Responsibilities: You'll work on high-impact, technically ambitious projects that directly shape the future of Microsoft 365 Copilot.Examples include: Advancing deep reasoning in Microsoft 365 Copilot by applying next-generation LLM fine-tuning and reinforcement learning techniques. Improving Copilot Chat and Researcher response quality through state-of-the-art … Physics, Statistics, OR related areas is highly preferred. Candidates with master's degree with proven industry experience or a strong publication record in the areas of Information Retrieval, Machine Learning, Natural Language Processing, and Deep Learning are considered as well. Extensive hands-on experience building and deploying products using Machine Learning. Specifically, we are looking for expertise More ❯

an inclusive and diverse team of high caliber data science and ML application researchers and engineers, distributed globally, who thrive on new challenges. We are seeking an experienced Machine Learning Engineer or Data Scientist with technical expertise in Recommender Systems, Natural Language Processing (NLP), and Computer Vision, to join our growing team of multidisciplinary data science and ML experts. … growth and technical leadership Exposure to cutting edge applications of AI/ML and the opportunity to work with research teams on innovative solutions Evaluating and understanding large production deep learning systems composed of dozens of models. Developing novel metrics that provide analytical insights to non-technical stakeholders into how well these kinds of systems are operating. Responsibilities … Required skills MS in Computer Science, Data Science, Machine Learning, or related technical fields At least 8 years of hands-on experience (may include graduate studies in computer science or related technical fields) with increasing scope in developing and implementing ML solutions Thorough understanding of CS fundamentals including data structures, algorithms, and complexity analysis Strong software development experience through More ❯

Join to apply for the Research Engineer, Machine Learning role at Mistral AI Continue with Google Continue with Google Join to apply for the Research Engineer, Machine Learning role at Mistral AI 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. 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, optimised, open-source and cutting-edge models, products and solutions. Our comprehensive … research squads). Engineers can move along the researchproduction spectrum as needs or interests evolve. As a Research Engineer – ML track, you’ll build and optimise the large-scale learning systems that power our open-weight models. Working hand-in-hand with Research Scientists, you’ll either join: Platform RE Team: Enhance the shared training framework, data pipelines and More ❯

Social network you want to login/join with: Senior Machine Learning Scientist (Viator), London col-narrow-left Client: Location: London, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Reference: f549d0ffdc4c Job Views: 13 Posted: 22.06.2025 Expiry Date: 06.08.2025 col-wide Job Description: About Viator Viator, a Tripadvisor company, is the leading marketplace … Collaborate with product managers and various business stakeholders to ensure top-quality outcomes to meet internal objectives. Investigate and adopt innovative concepts that offer tangible benefits. Employ techniques like Deep Learning, Bayesian Modelling, Large Language Models, Product embedding, Recommendation Systems, and Computer Vision. To be successful in the role, you'll need: 5+ years of hands-on data More ❯

As a Machine Learning Engineer in the Applied AI team at Graphcore, you will contribute to advancing AI technology by developing and optimising AI models tailored to our specialised hardware. Working closely with the Software development and Research teams, you will play a critical role in finding opportunities to innovate and differentiate Graphcore’s technology. We seek engineers with … you're excited about advancing the next generation of AI models on cutting-edge hardware, we’d love to hear from you! Responsibilities and Duties Implement the latest machine learning models and optimise them for performance and accuracy, scaling to thousands of accelerators. Test and evaluate new internal software releases, provide feedback to software engineering teams, make vital code … hardware. Engage with the AI community and stay updated with the latest developments in AI. Candidate Profile Essential skills: Bachelor’s, Master’s, PhD, or equivalent experience in Machine Learning, Computer Science, Maths, Data Science, or related fields. Proficiency in deep learning frameworks like PyTorch or JAX. Strong Python software development skills (knowledge of C++ or other More ❯

This innovative company uses camera data to develop state-of-the-art solutions aimed at enhancing early detection and treatment of cancer. They are now seeking a talented Machine Learning Researcher in Computer Vision to join their dynamic and fully remote team. Role Overview: This exciting opportunity is perfect for a recent PhD graduate or an individual with a … of cancer detection using video data. You will collaborate with a multidisciplinary team and contribute to the advancement of medical technology. Key Responsibilities: Develop and implement cutting-edge machine learning algorithms for detecting images and videos. Work closely with researchers, engineers, and medical professionals to translate research findings into practical applications. (team of 20 other researchers). Conduct experiments … to validate and enhance the performance of computer vision models. Stay current with the latest advancements in machine learning and computer vision, applying this knowledge to ongoing projects. Publish research findings in leading scientific journals and present at industry conferences. Qualifications: PhD in Computer Science, Electrical Engineering, Biomedical Engineering, or a related field with a focus on Machine Learning More ❯

Senior Staff Machine Learning Scientist, Operations Join to apply for the Senior Staff Machine Learning Scientist, Operations role at Monzo Bank Senior Staff Machine Learning Scientist, Operations 2 days ago Be among the first 25 applicants Join to apply for the Senior Staff Machine Learning Scientist, Operations role at Monzo Bank We’re on a mission … + Benefits | Hear from the team About Ops Data Our Operations Data team consists of over 25 people across 4 data disciplines: Analytics Engineering, Data Analytics, Machine Learning, and Data Science. In our Operations Collective, you'll have the opportunity to embed into an area that is the heart of how we work with our customers’ problems - delivering award … winning customer support - and is full of data challenges. Machine Learning supports all aspects of Operations, from workforce planning to customer support experience, to enabling teams to work effectively and efficiently. You’ll play a key role... As a Senior Staff ML Scientist , you’ll be at the pinnacle of our Individual Contributor (IC) career track, serving as the More ❯

t wait to hear from you! KEY RESPONSIBILITIES: Actively contribute to the design, development, testing, and evaluation of data science solutions Train and deploy state-of-the-art machine learning and reinforcement learning models Build AI systems using Large Language Models Build processes for extracting, cleaning and transforming data (SQL/Python) Ad-hoc data mining for insights … of presenting technical concepts to stakeholders Experience of proactively contributing to the design, development, testing, and deployment of data science and AI solutions Experience and understanding of applied machine learning techniques in Python (e.g., xgboost, regression, decision trees) Experience with physics modelling highly desirable Practical knowledge and experience of developing AI solutions using advanced machine learning techniques (e.g. … reinforcement learning, deep learning) Experience of working collaboratively as part of a data science team, using tools like Git to adhere to established data science and AI best practices Experience of using different analysis techniques to draw insight from data, using tools such as Python and SQL Excellent Python skills, including relevant libraries for data analysis and More ❯

designing and implementing AI systems that make a difference. What You'll Work On Design and implement AI solutions across a range of applications (e.g., NLP, computer vision, reinforcement learning). Develop and optimize algorithms that power our products. Build and maintain the infrastructure needed to train, evaluate, and deploy AI models at scale. Collaborate closely with data scientists … state-of-the-art AI techniques to keep us at the cutting edge. What We're Looking For Strong programming skills in Python (bonus: C++, Java). Experience with deep learning frameworks such as TensorFlow, PyTorch, or similar. Solid understanding of AI algorithms, architectures, and deployment strategies. Familiarity with model optimization, quantization, or on-device inference is a … + equity - share in our success. Remote flexibility with a collaborative and supportive team culture. Work on challenging, meaningful AI projects with real-world impact. Opportunities for growth and learning - conferences, courses, mentorship. A chance to help shape both our technology and company culture from the ground up. More ❯

AI/ML systems, CI/CD and data pipelines. • Participate in enterprise-wide architecture initiatives for AI/ML. Understand the workflow and pipeline architectures of ML and deep learning workloads. • Conduct security risk assessments and threat modelling for AI/ML and other business projects performed thorough design reviews and security assessments of architectures and designs … AI/ML systems, ensuring security considerations are properly addressed. Key Skills & Experience: • Solid experience as a Security Architect, with a focus on AI/ML security, demonstrating a deep understanding of AI technologies, algorithms, models, and frameworks. • Extensive knowledge of security principles, best practices, and standards within the context of AI/ML systems. • Previous hands-on experience … preferred. • Proficiency in programming languages commonly used in AI/ML, such as Python, R, C, C++, or Java, and their associated security considerations. • Previous experience with ML, LLM, deep learning and data manipulation techniques, libraries, and frameworks such as TensorFlow, PyTorch, Jax, and scikit-learn is desirable. • Experience in implementing secure coding practices, DevOps, CI/CD More ❯

AI/ML systems, CI/CD and data pipelines. * Participate in enterprise-wide architecture initiatives for AI/ML. Understand the workflow and pipeline architectures of ML and deep learning workloads. * Conduct security risk assessments and threat modelling for AI/ML and other business projects performed thorough design reviews and security assessments of architectures and designs … AI/ML systems, ensuring security considerations are properly addressed. Key Skills & Experience: * Solid experience as a Security Architect, with a focus on AI/ML security, demonstrating a deep understanding of AI technologies, algorithms, models, and frameworks. * Extensive knowledge of security principles, best practices, and standards within the context of AI/ML systems. * Previous hands-on experience … preferred. * Proficiency in programming languages commonly used in AI/ML, such as Python, R, C, C++, or Java, and their associated security considerations. * Previous experience with ML, LLM, deep learning and data manipulation techniques, libraries, and frameworks such as TensorFlow, PyTorch, Jax, and scikit-learn is desirable. * Experience in implementing secure coding practices, DevOps, CI/CD More ❯

managing business relationships to pursuing their passions. As a Director in Analytics, you will work in a highly collaborative environment with extensive amounts of data to research and develop deep learning models to solve real-world problems and apply them to tasks such as identifying bad actors, preventing fraud, building anomaly detection models, and analytics at a high … collaborate and perform shared goals. Successful outcomes in this role will significantly impact the business. Responsibilities: Lead the development and optimization of spam and fraud detection systems using machine learning and rule-based engines. Work closely with management, product, engineering, compliance, legal, and security teams to align, present, and implement end-to-end fraud solutions. Ensure adherence to KYC More ❯

Join to apply for the Machine Learning Engineer role at Graphcore Join to apply for the Machine Learning Engineer role at Graphcore Get AI-powered advice on this job and more exclusive features. As a Machine Learning Engineer in the Applied AI team at Graphcore, you will contribute to advancing AI technology by developing and optimising AI … you're excited about advancing the next generation of AI models on cutting-edge hardware, we’d love to hear from you! Responsibilities And Duties Implement the latest machine learning models and optimise them for performance and accuracy, scaling to 1000s of accelerators. Test and evaluate new internal software releases, provide feedback to software engineering teams, make vital code … Engage with AI community and keep in touch with the latest developments in AI. Candidate Profile Essential Skills Bachelor/Master's/PhD or equivalent experience in Machine Learning, Computer Science, Maths, Data Science, or related field. Proficiency in deep learning frameworks like PyTorch/JAX. Strong Python software development skills (nice to have C other More ❯