126 to 150 of 331 Deep Learning Jobs in London

coaching, and exposure that will accelerate your growth in ways you won't find anywhere else. When you join us, you will have: Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear … actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey. A voice that matters: From day one, we value your ideas and contributions. You'll make a tangible impact ...

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 ...

tackle the most complex problems in quantitative finance from our London HQ, uniting world‐class researchers and engineers in an environment that values deep exploration and methodical execution – because the best ideas take time to evolve. Together we’re building a world‐class platform to amplify our teams’ most … role you will develop and test your ideas with real‐world data in an academic environment. Qualifications Either a post‐graduate degree in machine learning or a related discipline, or commercial experience developing novel machine learning algorithms. Exceptional candidates with a proven record of success in online data ...

with subject matter experts in biology and chemistry domains to validate the output.This role requires a strong foundation in Natural Language Processing (NLP), Machine Learning, Transformer models and Generative AI, as well as proficiency in Python.ResponsibilitiesData collection, data analysis, model development, defining quality metrics, quality assessment of models … scale projectsMentoring junior data scientists and fostering a knowledge-sharing culture within the team.Staying up-to-date with the latest advancements in AI, machine learning, and NLP technologies.RequirementsMaster’s or Ph.D. in Computer Science, Data Science, Artificial Intelligence, or a related field.5+ years of relevant applied experience in data ...

efficiently. Within GSET, the Algo R&D team is responsible for the research, design, and continuous improvement of our execution algorithm platform. We combine deep expertise in market microstructure, statistical modelling, and machine learning with world-class engineering to build algorithms that optimise execution quality, minimise market impact … stay at the frontier of quantitative research, whether that means reading the latest papers on optimal execution, experimenting with new ML techniques, or learning from post‐trade analytics. Culture carriers — You contribute to an inclusive, high‐performance team culture. You are willing to mentor others, share knowledge, and uphold ...

efficiently. Within GSET, the Algo R&D team is responsible for the research, design, and continuous improvement of our execution algorithm platform. We combine deep expertise in market microstructure, statistical modelling, and machine learning with world-class engineering to build algorithms that optimise execution quality, minimise market impact … stay at the frontier of quantitative research, whether that means reading the latest papers on optimal execution, experimenting with new ML techniques, or learning from post-trade analytics. Culture carriers — You contribute to an inclusive, high-performance team culture. You are willing to mentor others, share knowledge, and uphold ...

quantitative finance, by bringing scientific clarity to financial complexity.From our London HQ, we unite world-class researchers and engineers in an environment that values deep exploration and methodical execution - because the best ideas take time to evolve. Together we’re building a world-class platform to amplify our teams … with real-world data in an academic environment.Who are we looking for The ideal candidate will have:Either a post-graduate degree in machine learning or a related discipline, or commercial experience developing novel machine learning algorithms. We will also consider exceptional candidates with a proven record ...

statistical knowledge, including probability distributions, hypothesis testing, and data sampling methods. Ability to apply statistical analysis techniques to analyze financial data. Mathematics and Machine Learning : Solid foundation in mathematical principles, including linear algebra and calculus, with a focus on regression analysis. Exposure to machine learning and deep learning algorithms and methods in the presence of sparse data, including common imputation approaches. . Portfolio Optimization : Knowledge of portfolio optimization methodologies, specifically the Markowitz risk‐return models is a plus. Local to New York HQ Check out these videos and link to learn more about the team ...

About the Position We’re looking for smart and curious individuals to join our growing team and drive our ML work. On our Machine Learning team, you’ll build the deep learning models that power our trading strategies, supported by our rapidly growing computing cluster with tens … away from each other and work together to train models, architect systems and run trading strategies. Depending on the day, we might be diving deep into market data, tuning hyperparameters, debugging distributed training performance or studying how our model likes to trade in production. We’ll rely on your ...

them accurate and reliable. Selecting the right approach for each problem, with large language models and agentic AI to the fore, and drawing on deep learning, machine learning and statistical methods where they are the better fit. Owning the evaluation and accuracy methodology for the team … including probability, statistics, linear algebra and optimization, and the ability to reason rigorously about uncertainty, error and model behavior. A sound grounding in machine learning, including model validation and experimental design, applied where it is the right tool for the problem. Demonstrable experience designing evaluation and validation frameworks ...

with exceptional technical expertise and leadership capabilities to drive our artificial intelligence initiatives forward. This role is ideal for a technical visionary who combines deep expertise in AI, machine learning, and software engineering with the ability to lead cross-functional teams and shape technical strategy. The ideal candidate … Development & Innovation: Lead the development of advanced AI/ML models and systems, from research through to production deployment. Drive innovation in machine learning algorithms, neural networks, and emerging AI technologies including generative AI and multi‐modal systems. Oversee the implementation of MLOps pipelines, model monitoring, and automated deployment ...

explain what you do to your family again! In this role you will: Lead, motivate and inspire teams of Data Scientists Create bespoke machine learning solutions to model/solve problems and to help develop the team Solve challenging business problems using advanced machine learning methods such … 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, embed and scale machine learning models to deliver complex/critical projects Devise reusable assets, solutions ...

explain what you do to your family again! In this role you will: Lead, motivate and inspire teams of Data Scientists Create bespoke machine learning solutions to model/solve problems and to help develop the team Solve challenging business problems using advanced machine learning methods such … 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, embed and scale machine learning models to deliver complex/critical projects Devise reusable assets, solutions ...

organization with multiple teams to improve the efficiency of company processes and provide insights and assistance to users. Responsibilities Design, implement, and deploy machine learning models and systems to solve complex problems and drive business outcomes; Research, develop, and implement machine learning algorithms and models for tasks such … implement AI tools such as NLP, LLM, and IA; Collect, preprocess, and curate large datasets required for training generative models; Experiment with different machine learning techniques and algorithms, including supervised, unsupervised, semi-supervised, reinforcement, and deep learning; Design and optimize machine learning pipelines and workflows, incorporating ...

risk to decoding customer behaviour and building smarter banking tools. A Data & AI Scientist uncovering insights, making predictions and solving complex problems with machine learning techniques. Always with an ethical and accurate lens. A Machine Learning & AI Engineer designing and deploying robust ML systems that bring data science … modern coding practices to design, build and deploy intelligent solutions, helping the Bank innovate rapidly and deliver value at scale. Advanced analytics, statistical learning and decision intelligence, applying quantitative techniques to uncover patterns, generate insights and optimise outcomes, enabling more informed decisions for both the business and its customers. ...

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. ...

description Connect to your Industry Our Audit and Assurance practice encompasses skills across regulation and finance with a deep analytics capability. We harness these to provide Assurance to those charged with governance, serving the public interest. Working in Assurance means you will have an opportunity to work alongside leading … hiring of focused, aspirational, and collaborative practitioners, and as such we are offering the opportunity to join as a Data Science and Machine Learning Manager to support this challenging and rapidly expanding business. Deloitte offers a unique career opportunity in a supportive, challenging, and fast-growth environment. The successful ...

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 ...

enable transformation across R&D, clinical, and commercial functions. Acting as a trusted advisor, you will design and deliver scalable solutions using machine learning, Generative AI and large language models to address key challenges in drug discovery, clinical development, pharmacovigilance and patient engagement. You will combine domain experience with … pharmacovigilance Advise executive stakeholders on AI strategy and translate technical concepts into actionable business outcomes Define and deliver enterprise-wide AI and machine learning adoption roadmaps aligned to business objectives Create governance frameworks to ensure AI solutions meet regulatory and ethical requirements (e.g., GDPR, FDA, EMA) Prototype Generative ...

Senior AI/ML Consultant in AWS Professional Services, you will lead the delivery of cutting-edge artificial intelligence and machine learning solutions for our enterprise customers. You'll drive innovation in Artificial Intelligence and Machine Learning, shape technical strategy, and serve as a trusted advisor to customers … 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 GrowthWe ...

prohibitive cost of part qualification. Our platform cuts qualification time and costs while ensuring traceable, consistent quality. About Nexus Nexus is a cutting-edge deep tech startup emerging from Imperial College London, positioned at the intersection of advanced manufacturing and artificial intelligence. We're solving the billion-pound challenge … solve complex deployment and inference challenges in resource-constrained environments Required Expertise PhD in computer science, physics, engineering, or related field with significant machine learning focus 2+ years of hands-on experience building and deploying real-world AI systems that solved genuine business problems Mastery of machine learning ...

production. You'll translate research decisions — architecture choices, tokenisation trade-offs — into production systems that set the direction for how other Klarna machine learning teams work. You'll evaluate the customer representations the model produces against real underwriting outcomes, not just training-loss metrics. Who you are You understand … problem doesn't have an established playbook yet. Bonus points for You've optimised GPU-level performance or written Triton kernels. You have machine learning experience outside deep learning — classical ML, statistics, or other modelling approaches. You've worked with large-scale transactional or financial data before. ...

apply, and the type of support you need to complete the application to adjustments@depop.com. Role Depop is looking for a Staff Machine Learning Scientist to join our new Core ML team in the UK. You will work alongside a multi-functional team of Product Managers, ML Engineers … fellow ML Scientists, helping build and maintain foundational machine learning models and infrastructure, such as product matching models, image embedding services, and lightweight classifiers, that support multiple product and marketing use cases across Depop. As a staff-level member of the team, you will be expected ...

running in real industrial pilots — and we’re growing the team to take it even further. About the Role We're hiring a Reinforcement Learning Engineer to join our Autonomy team based in London. In this role you will leverage reinforcement learning in both simulation and physical reality … build highly performant and robust manipulation policies. What You'll Do Train language‐vision conditioned manipulation policies via reinforcement learning (RL) in simulation and in the real world. Construct challenging and diverse suites of manipulation tasks in simulation. Partner with teleoperations to collect trajectories in simulation for behavior cloning. ...

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 ...