251 to 275 of 1,699 Machine Learning Jobs in London

AI/ML Consultant, Professional Services, Global Accounts Job ID: Amazon Web Services Australia Pty Ltd Are you a strategic thinker with hands-on technical skills that can influence stakeholders to set a bold vision and lead teams through high impact programs using Artificial Intelligence and Machine Learning … the largest Global customers and partners innovate and transform on Amazon Web Services? At AWS, we're hiring an experienced business-oriented AI/ML practitioner. They must possess a unique balance of business knowledge and technology depth in Artificial Intelligence and Machine Learning with delivery implementation experience. … Their focus will be providing solutioning support with customer executives followed by hands-on delivery for AI ML workloads. Successful candidates will have executive level experience defining, designing, and deploying enterprise level strategic solutions leveraging Data, Artificial Intelligence and Machine Learning. Domain expertise should include deep, practical and hands 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 models More ❯

criminal record check (known as Disclosure and Barring Service) Your Role We are looking for people with strong technical knowledge in areas such as machine learning, GenAI, computer vision, and data science, combined with solid solution architecture and software engineering skills, that will allow us to design and … built an inclusive and welcoming environment, for everyone. Your Skills and Experience Capabilities in a range of AI techniques (e.g. supervised and un-supervised machine learning techniques, GenAI, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection, etc.). Strong communication …/RFP process, as preferred bidder, documented bids and face to face presentations. Experience of data science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and machine learning frameworks (e.g. Keras, Tensorflow, PyTorch, scikit-learn) Cloud platforms - demonstrable experience of building and deploying solutions to Cloud (e.g. AWS, Azure, Google More ❯

of frontier data and models by building complex agents for enterprises around the world through our Scale Generative AI Platform (SGP). The SGP ML team works on the front lines of this AI revolution. We interface directly with clients to build cutting edge products using the arsenal of proprietary … research and resources developed at Scale. As an ML Engineer, you'll work with clients to train ML models to satisfy 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 shaping the future of the modern AI movement, we would love to hear from you! You will: Train state of More ❯

to increase productivity and improve business decisions, as well as maintain data compliance. The Data Team encompasses Data Analysis, Data Architecture, Data Intelligence and Machine Learning expertise. In recent years, they have developed a Data Lakehouse architecture, that is relied upon by different departments across the firm. Marex … solutions. Skills and Experience: Essential: Strong analytical and critical thinking abilities with exceptional problem-solving skills. Advanced mathematical background, particularly in areas relevant to machine learning and AI. Basic understanding of machine learning concepts and algorithms (e.g., supervised and unsupervised learning, neural networks). Technical … and NumPy. Basic knowledge of cloud platforms like AWS, Azure, or Google Cloud. Desirable: Contributions to open-source projects, particularly in the AI/ML space. Published research in artificial intelligence or related technical journals. Experience with AWS cloud infrastructure and Infrastructure as Code (particularly Terraform). Education: Likely to More ❯

business teams to build solutions that surprise and delight our customers. We're looking for Applied Scientists capable of using generative AI and other ML techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. Key job responsibilities Collaborate with scientists and engineers to … and executive stakeholder Provide customer and market feedback to Product and Engineering teams to help define product direction. BASIC QUALIFICATIONS 5+ years of building machine learning models or developing algorithms for business application experience Master's degree in engineering, technology, computer science, machine learning, robotics, operations … Knowledge of programming languages such as C/C++, Python, Java or Perl Proven knowledge of deep learning and experience hosting and deploying ML solutions (e.g., for training, tuning, and inferences) PREFERRED QUALIFICATIONS PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or More ❯

are accessible to all patients. The Data Scientist at Every Cure will be critical in applying large language models (LLMs), transformers, and cutting-edge machine learning methodologies to support downstream validation in drug repurposing predictions. The Data Scientist will collaborate with data engineers, clinical scientists, tech translators, and … related field, with 3+ years of relevant experience OR a Graduate degree in these fields with 0-3 years of experience. Strong background in machine learning, including deep learning and transformer models. Experience: Hands-on experience with transformer and foundation models, and the ability to handle large … of LLMs for biological data. Familiarity with drug repurposing or biomedical knowledge graphs is a strong plus. Experience using large-scale data frameworks and machine learning toolkits such as PyTorch and HuggingFace. Strong coding standards, including adherence to best practices. Ability to quickly learn new domains and solve More ❯

and online user experience. Overview of the role: A candidate will be a self-starter who is passionate about discovering and solving complicated problems, learning complex systems, working with numbers, and organizing and communicating data and reports. You will be detail-oriented and organized, capable of handling multiple projects … Adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation. Develop innovative BI and data analytics solutions leveraging advanced machine learning models to solve complex problems, build intelligent knowledge bases, and create conversational interfaces for enhanced business insights and recommendations. Drive projects on … S3. Knowledge of machine learning techniques and concepts. Strong understanding of machine learning concepts, including the development and deployment of ML models to solve complex problems. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need More ❯

to increase productivity and improve business decisions, as well as maintain data compliance. The Data Team encompasses Data Analysis, Data Architecture, Data Intelligence and Machine Learning expertise. In recent years, they have developed a Data Lakehouse architecture, that is relied upon by different departments across the firm. Marex … solutions. Skills and Experience: Essential: • Strong analytical and critical thinking abilities with exceptional problem-solving skills. • Advanced mathematical background, particularly in areas relevant to machine learning and AI. • Basic understanding of machine learning concepts and algorithms (e.g., supervised and unsupervised learning, neural networks. Technical Skills … and NumPy. • Basic knowledge of cloud platforms like AWS, Azure, or Google Cloud. Desirable: • Contributions to open-source projects, particularly in the AI/ML space. • Published research in artificial intelligence or related technical journals. • Experience with AWS cloud infrastructure and Infrastructure as Code (particularly Terraform). Education: • Likely to More ❯

Software/Machine Learning Engineer | Cybersecurity Startup (Open Source, AI) We’re hiring a Software/Machine Learning Engineer to join an early-stage cybersecurity startup that's building the next-gen security assistant - open-source at its core, focused on automating repetitive workflows and making … What You’ll Do Design and build data models to automate security workflows Work with unstructured data from various sources Lead projects across the ML lifecycle - from design to deployment Collaborate closely with engineers and product to ship real features 🚀 Hiring Process Intro call → Take-home test → Onsite with the More ❯

and Programs) team is responsible for creating core analytics, insight generation and science capabilities for ROW Ops. We develop scalable analytics applications, AI/ML products and research models to optimize operation processes. You will work with professional Product Managers, Data Engineers, Data Scientists, Research Scientists, Applied Scientists and Business … able to use a range of science methodologies to solve challenging business problems when the solution is unclear. You will be responsible for building ML models to solve complex business problems and test them in production environment. The scope of role includes defining the charter for the project and proposing … by leveraging strong leadership and communication skills, data science skills and by acquiring domain knowledge pertaining to the delivery operations systems. You will provide ML thought leadership to technical and business leaders, and possess ability to think strategically about business, product, and technical challenges. You will also be expected to More ❯

industry are looking for a highly skilled and experienced Security Architect with a strong specialisation in Artificial Intelligence (AI) and Machine Learning (ML) security. The role involves significant influence across the organisation, with customers and peers, regarding the strategic contribution of AI/ML security to business objectives. … experience. Current Security Professional Certification (CISSP, CISM). Proven understanding of security frameworks (NIST, ISO 27001, TOGAF, SABSA). Deep understanding of AI/ML concepts, algorithms, models, regulations and controls. Extensive technical experience in AI/ML Security Architecture Proven threat modelling, risk analysis, and architectural validations In-depth … machine learning mitigation. Comprehensive understanding of ethical AI and governance. Proven AI security tool implementation and management. Extensive experience with AI/ML data privacy regulations (GDPR, CCPA). Strong DevSecOps expertise for AI/ML pipelines. Good strategic risk analysis and problem-solving. Good communication and stakeholder More ❯

are designed to smash client's problems and make tech work harder for them. They include: Performance engineering Cloud adoption, migration and optimisation Data, ML and AI enablement We tie this all together with a little thing we call 'delivery excellence', backed up with performance engineering, DevOps, and design thinking. … What to expect You'll be a member of the Daemon Data & AI/ML team, pushing to win work on exciting, challenging and rewarding projects with some famous brands. Working hand-in-glove with high-performing teammates, you'll develop personally and professionally, surrounded by superhero consultants digging deep … a wide range of activities including: Assisting clients create Data & Machine Learning & AI Solutions Help define best practices on implementation for Data, ML & AI projects Define work packages and plan for success Communication of complex technical problems in simple terms Lead Data Engineering/ML team to deliver More ❯

Patent Attorney, AI and Machine Learning - UK based London, Bristol, Manchester or Cambridge Mewburn Ellis is the forward-looking IP firm. Over 150 years old, but very much with a focus on the future, we are at the top of our profession. We are 'Top Tier' in Legal … us on our exciting journey. The role The Mewburn Ellis Engineering and ICT Practice Group is growing and looking for an Artificial Intelligence/Machine Learning specialist to join the team. This new position will allow you to work with a number of clients at the cutting edge … in a variety of backgrounds such as maths, physics, computer science so long as there has been a significant formal component in AI or ML or even an AI/ML certificate attained separately to the STEM degree. Another route could be some solid AI/ML specific industry experience. More ❯

government policies through innovation. JOB DESCRIPTION: As a newly created role for a team of four, you will integrate large-scale data preprocessing with machine learning, transparent integration, and the use of data structures and algorithms, enabling training models leveraging a distributed in-memory machine learning … Areas to improve will include replacing existing workflows with advanced machine learning algorithms, including NLP and ensemble methods using powerful data munging, ML pipelines with advanced algorithms fully deployed for speed and accuracy with graphical user interface (GUI). You will also participate in software development meetings with … implementing methods that accept data-frames and produce models into transformers. In-depth knowledge of deployment of chains, multiple transformers, and estimators to create ML workflow. Develop detailed analyses repeatedly evaluating different features in engineering steps, algorithms, hyper-parameters, train original datasets, and cross-validation. Superior ability to build and More ❯

This is an opportunity for a Data Scientist to play a key role in building Machine Learning and AI Solutions for customers, at the forefront of MS Azure technologies. The successful candidate will have commercial experience leading a team or working independently. Responsibilities: Take a lead role in … the design and development of machine learning, statistical algorithms and solutions. Help clients realise the potential of data science, machine learning, and scaled data processing within the Azure ecosystem. Ownership for the delivery of core solution components. Manage the design and delivery of the data architecture. … understand requirements and present solutions to customer sponsors. Required Skills & Experience: Microsoft Azure expertise primarily using Azure Machine Learning. Extensive experience with Databricks, ML Flow, storytelling tools and techniques. Strong commercial experience creating predictive models, statistical analysis, and pricing analysis. Working with large data sets (real time, storage, and More ❯

I am recruiting for an experienced Security Architect with a strong specialisation in Artificial Intelligence (AI) and Machine Learning (ML) security. This is a hybrid role - 2 days in London, 3 days remote. This role does fall inside IR35 so you will need to work through an umbrella … the duration of the contract. The role involves significant influence across the organisation, with customers and peers, regarding the strategic contribution of AI/ML security to business objectives. You will apply a wide range of complex technical and professional security activities in diverse AI/ML contexts, driving the … development and execution of AI/ML security strategies. A key aspect of the role is contributing to the formulation of AI/ML security policies, standards and strategies, ensuring alignment with overall business and technology strategies. You will have several years experience of strategic cyber security. A current Security More ❯

engineering to ensure assessing the model at its full capacity. About the Role As a member of this team, you will use cutting-edge machine learning techniques to improve model performance in our domains of interest. The work is split into two sub-teams: Agents and Finetuning. Our … skills, experience and attitudes: Experience conducting empirical machine learning research (e.g. PhD in a technical field and/or papers at top ML conferences), particularly on LLMs. Experience with machine learning engineering, or extensive experience as a software engineer with a strong demonstration of relevant skills …/knowledge in machine learning. An ability to work autonomously and in a self-directed way with high agency, thriving in a constantly changing environment and a steadily growing team, while figuring out the best and most efficient ways to solve a particular problem. Particularly strong candidates also have More ❯

not miss capabilities that might be present in the model. About the Role As a member of this team, you will use cutting-edge machine learning techniques to improve model performance in our domains of interest. The work is split into two sub-teams: Agents and Finetuning. Our … skills, experience and attitudes: Experience conducting empirical machine learning research (e.g. PhD in a technical field and/or papers at top ML conferences), particularly on LLMs. Experience with machine learning engineering, or extensive experience as a software engineer with a strong demonstration of relevant skills …/knowledge in machine learning. An ability to work autonomously and in a self-directed way with high agency, thriving in a constantly changing environment and a steadily growing team, while figuring out the best and most efficient ways to solve a particular problem. Particularly strong candidates also have More ❯

not miss capabilities that might be present in the model. About the Role As a member of this team, you will use cutting-edge machine learning techniques to improve model performance in our domains of interest. The work is split into two sub-teams: Agents and Finetuning. Our … skills, experience and attitudes: Experience conducting empirical machine learning research (e.g. PhD in a technical field and/or papers at top ML conferences), particularly on LLMs. Experience with machine learning engineering, or extensive experience as a software engineer with a strong demonstration of relevant skills …/knowledge in the machine learning. An ability to work autonomously and in a self-directed way with high agency, thriving in a constantly changing environment and a steadily growing team, while figuring out the best and most efficient ways to solve a particular problem. Particularly strong candidates also More ❯

Help build the world's most advanced reinforcement learning systems at Microsoft AI. We're on a mission to create trustworthy agents capable of autonomous action and decision-making on behalf of our users. As part of our team, you'll help advance state-of-the-art model capabilities … shifting priorities Be motivated by training capable and safe AI agents and shipping them into the hands of millions of users A background in machine learning is preferred but not required. In this case, candidates must demonstrate they have an ability to quickly learn the subject, and backgrounds … in mathematics, competitive programming, and related domains are a plus. Responsibilities Collaborate with research teams to advance state-of-the-art algorithms for reinforcement learning in LLMs Develop the core systems for adapting reinforcement learning to unprecedented scales and heterogeneous environments. Embody our culture of collaboration, innovation, and More ❯

human and invalid traffic within programmatic ad sources, and weed them out to ensure a high quality advertising marketplace. We do this by building machine learning and optimization algorithms that operate at scale, and leverage nuanced features about user, context, and creative engagement to determine the validity of … trust and saves them hundreds of millions of dollars of wasted spend. We are looking for talented applied scientists who enjoy working on creative machine learning algorithms and thrive in a fast-paced, fun environment. An Applied Scientist is responsible for solving inherently hard problems in advertising fraud … business intelligence. BASIC QUALIFICATIONS - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related More ❯

expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products. At Bloomberg, we believe in fostering a transparent and efficient financial … financial news You'll have the opportunity to: Collaborate with colleagues on building and deploying production-grade search systems powered by LLMs using sound ML and software engineering practices. Continuously identify opportunities to improve our search systems and rapidly explore and experiment ideas for improvement, and release ones that have … promise. Design, train, experiment, and evaluate models, algorithms and solutions Anticipate data needs for building and evaluating ML-driven systems. Take ownership of securing such data by coordinating with data owners and annotators. At the same time, identify opportunities for using LLMs in dealing with data scarcity issues. Demonstrate technical More ❯

expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products. At Bloomberg, we believe in fostering a transparent and efficient financial … financial news. You'll have the opportunity to: Collaborate with colleagues on building and deploying production-grade search systems powered by LLMs using sound ML and software engineering practices. Continuously identify opportunities to improve our search systems and rapidly explore and experiment ideas for improvement, and release ones that have … promise. Design, train, experiment, and evaluate models, algorithms and solutions. Anticipate data needs for building and evaluating ML-driven systems. Take ownership of securing such data by coordinating with data owners and annotators. At the same time, identify opportunities for using LLMs in dealing with data scarcity issues. Demonstrate technical More ❯

this role plays a crucial role in delivering the generative artificial intelligence (GenAI) solutions for our clients. This position requires a deep understanding of machine learning, natural language processing, and generative models, combined with problem-solving skills and a passion for innovation. Key job responsibilities 1. Generative AI … 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 … request an accommodation, please let us know and we will connect you to our accommodation team. - Master's or Ph.D. degree in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field. - 4+ years of experience in developing and deploying machine learning models, with a More ❯