76 to 100 of 204 Deep Learning Jobs in England

London‐based team. Core Technical Qualifications Hands‐on experience in technical pre‐sales or consultancy, with a strong background in Data Science – traditional Machine Learning, Deep Learning, Artificial Intelligence or Generative AI. Demonstrated ability to architect end‐to‐end Data & AI solutions, with specific expertise in modern ...

London‐based team. Core Technical Qualifications: Hands‐on experience in technical pre‐sales or consultancy, with a strong background in Data Science - traditional Machine Learning, Deep Learning, Artificial Intelligence or Generative AI. Demonstrated ability to architect end‐to‐end Data & AI solutions, with specific expertise in modern ...

year of experience with one or more of the following: speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. + 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation … generation and inference tasks. You will develop production-ready pipelines for at-scale data processing using distributed computing frameworks, run and monitor large-scale deep learning experiments, and leverage JAX to establish end-to-end pipelines for fine-tuning foundational models. Your work will involve delivering synthetic datasets ...

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 … 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 ...

mirror real-world opinion distributions, demographic patterns, and response dynamics. Advance the state of the art — stay at the frontier of relevant research across deep learning, language model alignment, synthetic data, and computational social science. Reproduce, critique, and improve upon academic work. Translate theoretical breakthroughs into production-ready … alongside the engineering team using Git and code review. Your research has to work at scale. What We’re Looking For Strong experience with deep learning and NLP. You understand transformer architectures deeply — not just how to call an API, but how attention mechanisms work, how to fine ...

Jump Trading Group in Greater London seeks a research scientist to apply deep learning to state-of-the-art problems across quantitative research and monetization. You will lead open-ended projects from concept to production, collaborating with ML, statistics, and engineering teams. The role requires 5+ years ...

Overview Machine Learning Research Engineer – NLP/LLM An incredible opportunity for a Machine Learning Research Engineer to work on researching and investigating new concepts for an industry-leading, machine-learning software company in Cambridge, UK. This unique opportunity is ideally suited to those with a Ph.D. … relating to classic Machine Learning and Natural Language Processing and its application to an ever-advancing technical landscape. On a daily basis you will be working on the very cutting-edge of machine-learning including prototyping, building and implementing new approaches to AI problems. Location: Cambridge – 3 days ...

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

Overview Machine Learning Research Engineer – NLP/LLM Expert. A brilliant opportunity for a machine learning research engineer to work on researching and investigating new concepts for industry-leading machine-learning software in Cambridge, UK. Ideally suited to those with a Ph.D. relating to Machine Learning … days remote Salary: Up to £100,000 depending on experience Responsibilities Join a small team responsible for investigating the latest research in machine learning algorithms – largely within the NLP field with some computer vision Make suggestions based on the feasibility of research to help shape future projects and products ...

term research initiatives. As a Research Scientist, you will work on cutting-edge AI problems, pushing the boundaries of what is possible in machine learning and artificial intelligence to solve complex, real-world challenges. Visa sponsorship is not explicitly marked on this role. Relocation support is not explicitly marked. … degree (PhD or equivalent) in Computer Science, AI, or related technical field, with a proven track record of research excellence.. Prepare examples for: Machine Learning, Deep Learning, Artificial Intelligence, Research & Development, Strategic Planning. Job Overview Research Scientist, Strategic Bets, DeepMind Job Type Full-time Category Research Experience ...

must be willing to learn C++. Experience in C++ is a strong plus Candidate must have strong interest and motivation to work with machine learning, deep learning, backtesting platform design and development technologies. Prior experience is not required but will be considered as a strong plus. Strong ...

implement changes of model architecture that will enable better performance characteristics without sacrificing model capabilities. What We're Looking For 3+ years building deep‐learning systems (industry or research) with shipped models or published artifacts to show for it. 1+ years experience working on performance of neural network … inference (analyzing bottlenecks, writing custom kernels, quantizing models, fighting deep learning compilers). Excellent understanding of GPU architecture and why some models run faster than others. Strong Python + PyTorch/JAX; you can profile, debug numerics, and write maintainable research code. You document experiments clearly and communicate ...

offer a competitive salary, a great location, and a supportive, people-first culture where your growth truly matters. With access to global projects, learning opportunities, and an inclusive environment that values every voice, you’ll have the space to shape the future with us.About The TeamYou’ll be joining … implement, and optimize AI agents for various applications, including customer service, supply chain optimization, recommendation systems, and internal operations.Develop robust agent architectures, incorporating machine learning models, natural language processing (NLP), knowledge representation, and reasoning techniques.Integrate AI agents with existing JD.com systems and platforms, ensuring seamless functionality and data flow.Conduct ...

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

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

strong focus on data management and analytics is essential to our investment strategy. We are looking for a motivated and detail‐oriented Machine Learning Intern with a strong interest in quantitative analysis, particularly time series forecasting, to join our Global Data Science team in our London office. The internship … will play a vital role in forecasting price movements and supporting risk management decisions. Responsibilities Apply mathematical and statistical knowledge to enhance existing machine learning applications and explore new solutions. Work closely with Data Scientists, Analysts, and Traders to design, implement, and optimize machine learning models for time ...

explainability, and safety alignment, making sure our AI is trustworthy and ethical. What you need 5+ years of professional experience building and deploying machine learning or AI systems in a production environment. Proficiency in Python and experience with relevant AI/ML frameworks such as PyTorch, TensorFlow, or JAX. … strong foundation in machine learning principles, deep learning architectures, and natural language processing, particularly with large language models. Experience with cloud platforms (e.g., AWS, GCP, Azure) and MLOps tools for managing the AI lifecycle. Demonstrated ability to write clean, efficient, and well-tested code for scalable software ...

Microsoft, AWS, and others to deliver advanced AI and data solutions at citizen scale. Our 150-strong AI and Data Practice brings together deep expertise in machine learning, generative AI, agentic AI and data. We are pioneers in responsible AI, having authored the UK government's AI Cyber … BUSINESS : As a Lead AI Engineer at Kainos, you will architect, design, and deliver advanced AI solutions leveraging state-of-the-art machine learning, generative and agentic AI technologies. You will drive the adoption of modern AI frameworks, AIOps best practices and scalable cloud-native architectures. Your role will ...

Microsoft, AWS and others to deliver advanced AI and data solutions at citizen scale. Our 150-strong AI and Data Practice brings together deep expertise in machine learning, generative AI, agentic AI and data. We are pioneers in responsible AI, having authored the UK government's AI Cyber … Engineer Manager at Kainos, you'll be responsible for successful delivery of advanced AI solutions leveraging state-of-the-art machine learning, generative and agentic AI technologies. You will drive the adoption of modern AI frameworks, AIOps best practices and scalable cloud-native architectures. Your role will involve technical ...

LGBTQ+ business community. Please do not contact the recruiter directly. At GSK we see a world in which advanced applications of machine learning and AI will allow us to develop novel therapies to existing diseases and to quickly respond to emerging or changing diseases with personalized drugs, driving better … with fewer side effects. It is an ambitious vision that will require the development of products and solutions at the cutting edge of machine learning and AI. We are looking for a Director of AI/ML Engineering to lead a team focused on clinical AI. In this role ...

Lead Machine Learning Scientist, FinCrime Location: Cardiff, London or Remote (UK) We are seeking a Lead Machine Learning Scientist to join Monzo's FinCrime team. You will lead the development and deployment of advanced machine learning models to detect financial crime and fraud, while protecting genuine customers … optimising operational costs. About our Machine Learning FinCrime Team Our Financial Crime Data team consists of 25+ people across analytics engineers, data analysts, machine learning scientists and data scientists. You will be part of a fast-moving environment building defensible capabilities to keep Monzo and our customers safe. ...

seeking those who are dedicated as much to building safely and responsibly as to advancing disruptive agentic capabilities. We promote a mindset of openness, learning, and collaboration, where everyone has something to contribute. About the Research & Models Team The Models team builds the foundational models that power our cutting … understand, and act within complex environments. We own the entire pipeline including synthetic data generation, environment design, mid-training, supervised fine-tuning, offline reinforcement learning, online reinforcement learning, reward modelling, transition modelling, etc. Our team also has dedicated MLOps, Infra and Inference support at scale. We focus ...

structured and unstructured formats. Using strong critical‐thinking and problem‐solving skills, you’ll analyse and interpret data, build predictive models, and develop machine learning algorithms that generate actionable insights. You’ll propose solutions to business challenges and collaborate with other teams to implement them. Recognising the dependencies Group … capability, with proven experience in statistical modelling skills, and data interpretation Technical Skills: Proficiency in Python for data analysis, modelling and machine learning. Machine Learning: Experience building and evaluating machine learning models Education: Degree in Mathematics, Statistics, Data Science, or another quantitative field Communication: Strong verbal and written ...

understanding of intricate business challenges and translation into technical problem statements, working with diverse datasets (internal and external), and expert application of advanced machine learning or statistical modelling techniques to generate actionable insights and measurable impact. Provide hands‐on technical mentorship and guidance to junior and mid‐level data … 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 ...

applied AI experts to drive innovation and new capabilities in the Commercial & Investment Bank. As an Applied AI/ML Senior Associate Machine Learning Engineer in the Applied AI ML team at JPMorgan Commercial & Investment Bank, you will be at the forefront of combining cutting‐edge AI techniques with … libraries and services to be leveraged across the team. This role offers a unique blend of scientific research and software engineering, requiring a deep understanding of both mindsets. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked ...