426 to 450 of 1,414 Machine Learning Jobs in London

the customer experience of ground-breaking products? Then come join us and make history. We are looking for a passionate, talented, and inventive Applied Scientist with a background in Machine Learning to help build industry-leading Speech, Language, Audio and Video technology. As an Applied Scientist at Amazon you will work with talented peers to develop novel algorithms … models for digital vocal arts applications. Participate in research activities including the application and evaluation and digital vocal and video arts techniques for novel applications. Research and implement novel ML and statistical approaches to add value to the business. Mentor junior engineers and scientists. BASIC QUALIFICATIONS - Experience with generative deep learning models applicable to the creation of synthetic humans … like CNNs, GANs, VAEs and NF - Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects) - Experience with programming languages such as Python, Java, C++ PREFERRED QUALIFICATIONS - PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field - Experience in patents More ❯

analytics, recommendation systems, and NLP applications. Mentor and guide junior data scientists and analysts. Stay up to date with the latest research, tools, and techniques in data science and machine learning. … What We're Looking For 5+ years of experience in data science, machine learning, or a related field. Strong proficiency in Python (or R) and experience with ML frameworks like scikit-learn, TensorFlow, or PyTorch. Deep experience in building and deploying models at scale. Solid understanding of statistics, experimentation, and data storytelling. Experience working with cloud environments (AWS … adaptable, and collaborative. Why Join Us? Competitive compensation, including meaningful equity. Remote-friendly with flexible working hours. Work on high-impact projects that apply AI to real-world problems. Learning budget for conferences, courses, and books. Supportive, innovative team culture that values curiosity and experimentation. More ❯

our websites annually. What are we looking for An experienced product manager who is driven to take our prediction model to the next level. Your passion for AI and ML will mean that you are driven to transform the student journey with your innovative approach. What you'll be doing You will lead the development of machine learning … student's journey - whether it's a personalised email, a tailored message, or a human follow-up - generated dynamically using Generative AI. You will work closely with data scientists, machine learning engineers, and operational teams to build, launch, and optimise these models and systems, making them a core part of how we support students globally. What are you … KPIs to measure model accuracy, engagement impact, and enrolment outcomes, and continuously drive improvements. Ensure all AI-driven activities are compliant with data privacy and ethical standards. Translate complex machine learning concepts into actionable features and tools for business users. Regularly collaborate with marketing, enrolment, and student advisory teams to align AI-driven actions with real-world student More ❯

Job ID: Evi Technologies Limited AWS Polly is looking for a passionate, talented, and inventive Applied Scientist with a strong deep learning background to help advance the state of the art in Generative AI for speech synthesis. Polly powers natural-sounding Text-to-Speech (TTS) voices at scale and is evolving into a platform that leverages Large Language Models … you'll work closely with other applied scientists, engineers, and product managers to translate research into customer-facing capabilities. You'll also partner with teams across AWS AI/ML, including those working on Bedrock, Alexa, and Amazon Connect, to ensure Polly's speech technology integrates seamlessly into broader generative AI experiences. As a scientific leader, you will regularly communicate … generative modeling, and who are excited by the challenge of bringing research to production at scale. BASIC QUALIFICATIONS - PhD, or a Master's degree and experience in CS, CE, ML or related field - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - Experience in any of the More ❯

is to help customers solve their problems using data science and AI; this involves applying a variety of techniques, ranging from simple data analysis to designing and implementing bespoke machine learning algorithms. We have previously worked on a multitude of different technical solutions for our clients, using Bayesian hierarchical modelling to develop an early warning system for the … to become a fluent Python programmer in a short timeframe. The ability to reason mathematically and an understanding of common statistical tests and/or probability. Experience using common machine learning algorithms as evidenced by previous work or side projects, with the ability to think creatively when an innovative solution is necessary. Experience of manipulating data using the … particularly if this involved customer-facing work or project management. Research experience (PhD or Postdoc) as evidenced by academic publications and conference talks. Working knowledge of any of following ML domains: NLP, Bayesian inference, computer vision, deep learning, causal modelling, AI safety Experience creating web apps using e.g. Dash, Flask, React.js Familiarity with MLOps including deployment, monitoring and scalability More ❯

performance metrics to stakeholders. Automating data analysis and reporting workflows using Python scripting and CI/CD tools like GitHub Actions. Staying current with the latest research in deep learning and statistical analysis to drive innovation. Your analytical rigor will be critical to advancing … Ultralytics' mission to make AI easy and accessible for everyone. 🛠️ Skills and Experience 5+ years of experience in a data science or analytics role, preferably within the AI/ML industry. Expert-level proficiency in Python and extensive experience with data science libraries such as Pandas, NumPy, and Scikit-learn. Deep hands-on experience with deep learning frameworks, particularly … projects. Gear: Brand-new Apple MacBook and Apple Display provided. Team : Become part of a supportive and passionate team environment. If you are driven to redefine the capabilities of machine learning and eager to make a significant impact, Ultralytics offers an exceptional career opportunity. More ❯

performance metrics to stakeholders. Automating data analysis and reporting workflows using Python scripting and CI/CD tools like GitHub Actions. Staying current with the latest research in deep learning and statistical analysis to drive innovation. Your analytical rigor will be critical to advancing … Ultralytics' mission to make AI easy and accessible for everyone. 🛠️ Skills and Experience 5+ years of experience in a data science or analytics role, preferably within the AI/ML industry. Expert-level proficiency in Python and extensive experience with data science libraries such as Pandas, NumPy, and Scikit-learn. Deep hands-on experience with deep learning frameworks, particularly … projects. Gear: Brand-new Apple MacBook and Apple Display provided. Team : Become part of a supportive and passionate team environment. If you are driven to redefine the capabilities of machine learning and eager to make a significant impact, Ultralytics offers an exceptional career opportunity. More ❯

Alexa Job ID: Evi Technologies Limited The Alexa Conversational Modelling and Intelligence org in UK is looking for a Senior Applied Scientist with a background in Natural Language Processing, Machine/Deep Learning, and Large Language Models (LLMs). You will be working with a team of applied and research scientists to enhance existing features and explore new … and external publications. You will mentor and guide junior scientists and contribute to the overall growth and development of the team. BASIC QUALIFICATIONS - PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field - Experience with neural deep learning methods and machine learning - Experience in building machine learning … business application - Experience in applied research - Experience programming in Java, C++, Python or related language - Strong track record of patents and publications. PREFERRED QUALIFICATIONS - Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects) - Experience in building LLMs including SFT, LHF. Amazon is an equal opportunities employer. We believe More ❯

cloud. AWS has been continually expanding its services to support virtually any workload, and it now has more than 240 fully featured services for compute, storage, databases, networking, analytics, machine learning and artificial intelligence (AI), Internet of Things (IoT), mobile, security, hybrid, media, and application development, deployment, and management from 105 Availability Zones within 33 geographic regions, with … to help close agreement. • Operates with significant discretion, taking actions to resolve problems on behalf of their team and/or issues that are impeding the business. Regularly provides learning and expertise that influences broader industry cloud adoption. • Interacts with senior management or executive levels to gain support for items that require escalation while writing convincing and professional documents … in both Mandarin and English at written or verbal format PREFERRED QUALIFICATIONS - Cloud sales experience - Substantial experience working with transformative technology including cloud, IoT, data & analytics, GenAI, AI/ML etc. - Experience influencing key stakeholders at C-level - Proven experience with consistent business growth and quota. - Extensive customer network - Leadership experience Our inclusive culture empowers Amazonians to deliver the best More ❯

Veeva Link's next-gen Data Platform Improve our current environment with features, refactoring, and innovation Work with JVM-based languages or Python on Spark-based data pipelines Operate ML models in close cooperation with our data science team Experiment in your domain to improve precision, recall, or cost savings Requirements Expert skills in Java or Python Experience with Apache … and writing in English enables you to take part in day-to-day conversations in the team and contribute to deep technical discussions Nice to Have Experience with operating machine learning models (e.g., MLFlow) Experience with Data Lakes, Lakehouses, and Warehouses (e.g., DeltaLake, Redshift) DevOps skills, including terraform and general CI/CD experience Previously worked in agile More ❯

next generation of applications. This is why we started Encord. We are a talented and ambitious team of 75+, working at the cutting edge of computer vision and deep learning, backed by top investors, including CRV and Y Combinator, leading industry executives like Luc Vincent, former VP of AI at Meta, and other top Bay Area leaders in AI. … tool in the market by our customers. The Role As a Junior Human Data Operations Strategist, you will play a critical role in managing and optimizing data annotation and machine learning workflows for our clients. You will work closely with cross-functional teams, including clients, annotation specialists, and machine learning engineers, to ensure high-quality data … role is perfect for individuals with a passion for AI, data operations, and solving real-world problems. Your Responsibilities: Project Leadership - Oversee data annotation projects, translating complex AI and machine learning requirements into clear workflows and instructions for data annotation teams Data Quality Optimization - Ensure the highest standards of data quality by designing and refining annotation processes, auditing More ❯

PhysicsX is a deep-tech company of scientists and engineers, developing machine learning applications to massively accelerate physics simulations and enable a new frontier of optimisation opportunities in design, engineering, and systems control. We help our customers fundamentally improve their concepts and designs, transform their engineering processes and drive operational product performance. We do this in some of … PhysicsX is developing a platform used by Data Scientists and Simulation Engineers to build, train and deploy Deep Physics Models. The core of this platform is powered by several Machine Learning Python Libraries handling everything from data processing, to deep learning model training, and complex optimisation algorithms. The Libraries team is responsible for designing, developing, and maintaining … those Machine Learning Libraries. As a Software Engineer within the team, you will focus on the underlying engineering that makes our libraries fast, scalable, and a pleasure to use. You are a software craftsperson who champions best practices, ensuring that our entire development lifecycle-from code design to CI/CD-is robust and maintainable. Your work provides More ❯

substandard performance. Enhance system and service reporting to understand and communicate user experience with internal and external stakeholders. Keep automation at the forefront of all activities. Implement AI/ML to support service performance monitoring, reporting and root cause analysis. What It Takes : A degree in a quantitative discipline, such as Mathematics, Computer Science or equivalent. Demonstrated experience in data … analysis (2+ years). Excellent verbal and written communication skills. Experience with and understanding of: Version control - Git, GitHub Use of databases - Snowflake, postgresql or mysql Data Science techniques - Machine Learning, Artificial Intelligence, Statistical algorithms Cloud technologies - AWS or GCP What We'd Love: Experience of working across functional teams Masters or PhD in applied data science. Where More ❯

teams, engineering teams, and partner teams and align them with respect to your focus area • Execute analytical projects and understanding of analytical methods (like ANOVA, Distribution theory, regression, forecasting, Machine Learning Techniques, etc.) Key job responsibilities 1)To perform Data deep-dives-Working with data derived from various tools involving service operations, Finance and supply chain domains … to deliver actionable insights across the organization. Key Responsibilities: Develop and maintain interactive dashboards using SQL, Excel, and Quicksight Conduct deep-dive analyses using advanced analytical methods (ANOVA, regression, ML techniques) Partner with stakeholders to identify strategic opportunities and deliver data-driven solutions Own and deliver periodic metrics reporting to leadership Execute high-priority, cross-functional projects to improve operational More ❯

yet scientific approach with an emphasis on scalability and risk management. About The Role: Researchers are responsible for applying, adapting, and extending existing results in the broad field of machine learning. You will be apart of a highly unique research group across Natural Language Processing, Large Learning Models, deep learning, Bayesian & Signal Optimization with the exciting transition … to the world of financial predication through the prism of machine learning. The most exceptional team members combine strong technical skills and a passion for problem-solving with an intense curiosity about financial markets and human behaviour. About You: PhD or PhD candidate in machine learning, computer science, statistics, or a related field. Superb analytical and quantitative More ❯

yet scientific approach with an emphasis on scalability and risk management. About The Role: Researchers are responsible for applying, adapting, and extending existing results in the broad field of machine learning. You will be apart of a highly unique research group across Natural Language Processing, Large Learning Models, deep learning, Bayesian & Signal Optimization with the exciting transition … to the world of financial predication through the prism of machine learning. The most exceptional team members combine strong technical skills and a passion for problem-solving with an intense curiosity about financial markets and human behaviour. About You: PhD or PhD candidate in machine learning, computer science, statistics, or a related field. Superb analytical and quantitative More ❯

years of professional software engineering (we'll consider much more senior applicants for a VP Engineering track). Are a strong coder in Python. Have deployed generative-AI or ML systems to production and understand evaluation, guard-railing, and monitoring. Have a deep understanding of the core technology behind language models. Having previously conducted and published research on large language … models is an an advantage here A Master's or PhD degree in machine learning is advantageous but not required Can communicate fluently with both technical and non-technical stakeholders and enjoy white-boarding with customers. Are capable of architecting and building complex systems from scratch Are comfortable in fast-paced, dynamic environments Benefits Compensation and Benefits At More ❯

deep commercial insight and specialise in Paid Search (PPC), Conversion Rate Optimisation (CRO), and Data Engineering. Responsibilities: Own and shape the data science function, setting standards for excellence in machine learning, optimisation, predictive analytics, and experimentation. Lead high-impact projects across areas like customer segmentation, CLV modelling, bidding optimisation, and advanced measurement techniques. Work closely with marketing specialists … Proficient in Python (core skill), with strong experience in SQL Proven track record of applying analytics in digital media, technology, or consumer-focused organisations. Strong knowledge of statistical analysis, machine learning, forecasting, and operations research techniques. **Please note that this role does not offer visa sponsorship** How to Apply: Register your interest by sending your CV to Emily More ❯

deep commercial insight and specialise in Paid Search (PPC), Conversion Rate Optimisation (CRO), and Data Engineering. Responsibilities: Own and shape the data science function, setting standards for excellence in machine learning, optimisation, predictive analytics, and experimentation. Lead high-impact projects across areas like customer segmentation, CLV modelling, bidding optimisation, and advanced measurement techniques. Work closely with marketing specialists … Proficient in Python (core skill), with strong experience in SQL Proven track record of applying analytics in digital media, technology, or consumer-focused organisations. Strong knowledge of statistical analysis, machine learning, forecasting, and operations research techniques. **Please note that this role does not offer visa sponsorship** How to Apply: Register your interest by sending your CV to Emily More ❯

Explore AI/ML solutions to tough physics problems in the Defence domain This research team is looking for an experienced engineer or post-doctoral scientist to help them explore the use of modern ML techniques for solving problems across defence related domains such as RF, edge AI and AI security. They work collaboratively within their team as well as … the country. Their work is highly experimental, and it is understood that not all projects succeed, even failed projects contain valuable insights. You will be building upon cutting-edge ML techniques such as transformers and reinforcement learning to create novel multi-modal solutions. Examples include sensor fusion systems, physics-informed neural networks for simulations, and multi-purpose autonomous robots. … for this role.** Requirements: PhD or equivalent professional experience in a field that demonstrates significant understanding of both computer science and advanced statistical or numerical methods Practical experience applying ML techniques to solve real-world problems Knowledgeable in conducting and publishing (as first author) high-quality research for academic journals Team leadership experience While not required, both a good understanding More ❯

can have equal and unconstrained access to educational experiences on par with Oxford, Cambridge, CalTech, et cetera. We believe that this can be achieved with a new class of learning tools, which combine advances in cognitive science, language models, and datasets. We are building these tools in England. Our first product, Grasp Concepts , enables students to disambiguate and learn … concepts through great online explanations and is deployed with design partners including Imperial College London. Our second product, Grasp Pathways , decomposes learning goals and suggests flexible learning trajectories to reach them, using reputable learning resources like books and lectures, and is in private alpha. An on-demand, online oxbridge-like experience . Team and Funding We've … the best. R&D Engineering at Grasp This is a system design, prototyping, and development role, with a high degree of individual contribution. The systems you build will involve machine learning, generative AI, and applied maths (e.g. graph algorithm) approaches as you solve problems for online self-directed learners. As an individual contributor, you will be expected to More ❯

Engineering perspective being heavily involved in both Pre & Post sales. The team you'd lead are made up of PhD level Engineers who most work in Python to deploy Machine Learning Models. (They also work with Scala & react.js) This team will double over next 12 months. Mid term career progression could see you take on a wider team … commercial communication skills who can lead relationships with commercial stakeholders up to C-Level, distilling the complex into simple business language Knowledge to provide thought leadership in the Cloud & Machine Learning space Although this will be still a fairly heavy hands on element to this role initially, as the team grows and responsibility of the incumbent grows this More ❯

notified when the right vacancy comes along. The Data & Science Org At Deliveroo, we have an outstanding data science organization with a mission to enable high-quality human and machine decision-making. We collaborate across the company-product, business, and platform teams-using analysis, experimentation, causal inference, and machine learning techniques. We are uniquely positioned to leverage … at Deliveroo report to our data science management team. We have an active community with guest lecturers, study groups, mentorship programs, and a robust technical review process, providing many learning opportunities. Data Scientists can advance as technical leads or as people managers. Our data scientists come from diverse backgrounds, united by excellence. Many are formally trained in data science More ❯

on modern technologies like Kafka and Kubernetes. You'll be responsible for containerizing services, implementing robust testing strategies, and maintaining high code quality standards. The role offers exposure to machine learning technologies and large-scale feature engineering, making it ideal for engineers interested in the intersection of software engineering and data science. Working in a hybrid environment at … contemporary service design including containers and orchestration Experience with DevOps-based software development workflow Strong communication skills with various stakeholders Experience optimizing solution performance Experience or interest in productionizing machine learning technologies Jobs Related To Mastercard Lead Golang Engineer More ❯

models are integrated seamlessly into our applications, providing fast and accurate results. This role requires a deep understanding of software engineering principles and a strong foundation in AI and machine learning. ️ Your responsibilities: Design and implement AI retrieval systems : Develop and maintain the core AI retrieval algorithms and services that enable our platform to efficiently search and retrieve relevant … like FastAPI and Flask. Streaming responses and cancelable endpoints : Capable of implementing streaming responses and cancelable endpoints to support real-time and interactive use cases. Preferred skills and experience Machine learning experience : Familiarity with machine learning frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn. Natural Language Processing (NLP) : Experience with NLP techniques and tools … through Galleri Competitive pension scheme and company contribution Annual work-life stipends for: Home office setup, cell phone, internet Wellness stipend for gym, massage/chiropractor, personal training, etc. Learning and development stipend Company-wide off-sites and team off-sites Competitive compensation and company stock options More ❯