601 to 625 of 2,267 Machine Learning Jobs in London

system issues. Contribute to strategic project planning and execution phases, ensuring technical initiatives align with business goals. Research cutting-edge developments in artificial intelligence, machine learning, and natural language processing … to enhance service offerings. Design solutions adhering to performance, resilience, security, and governance requirements per established architectural frameworks. Monitor technological advancements in AI/ML and NLP sectors to evaluate implementation opportunities and maintain industry leadership. Your profile: Minimum 5 years infrastructure experience, including 3+ years DevOps expertise specifically with … Microsoft Azure. Demonstrated cloud engineering capabilities with strong interest in AI/LLM technologies. Proficiency in Python programming and machine learning frameworks. Familiarity with AI development practices within Microsoft environments. Good communication skills. Dedication to quality standards, process improvement, and industry best practices. Collaborative approach to teamwork in More ❯

system issues. Contribute to strategic project planning and execution phases, ensuring technical initiatives align with business goals. Research cutting-edge developments in artificial intelligence, machine learning, and natural language processing … to enhance service offerings. Design solutions adhering to performance, resilience, security, and governance requirements per established architectural frameworks. Monitor technological advancements in AI/ML and NLP sectors to evaluate implementation opportunities and maintain industry leadership. Your profile: Minimum 5 years infrastructure experience, including 3+ years DevOps expertise specifically with … Microsoft Azure. Demonstrated cloud engineering capabilities with strong interest in AI/LLM technologies. Proficiency in Python programming and machine learning frameworks. Familiarity with AI development practices within Microsoft environments. Good communication skills. Dedication to quality standards, process improvement, and industry best practices. Collaborative approach to teamwork in More ❯

and processing from heterogeneous sources; familiarity with tools like Apache Spark or Hadoop. Proficiency with cloud platforms (AWS, GCP, Azure). Familiarity with major machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Open-source contributions or publications demonstrating expertise in machine learning for scientific applications. More ❯

and organisational security and privacy policies, while also driving improvements in data quality and utilisation. Work across teams, including architecture, engineering, data science and machine learning, reporting, knowledge graph, and business stakeholders, to align integration efforts with enterprise standards, best practices, and strategic goals. Partner with the Data … analytics solutions. Effective communication skills to articulate complex data processes to both technical and non-technical stakeholders. Familiarity with the implications of AI and machine learning in data architecture. There's something for everyone. We're a place of opportunity. You'll have the tools and autonomy to More ❯

plans, they are now hiring exceptional talent to build out their Data team. Founded by industry experts, this fast-scaling London-based company leverages machine learning software to e-commerce, reducing costs and enhancing efficiency. Backed by significant funding, they are rapidly expanding their infrastructure and AI-driven … tech-driven company, we’d love to hear from you. Experience Required: Educated to degree level in a relevant subject such as Computer Science, Machine Learning, Artificial Intelligence, Mathematics, Statistics, Physics, Chemistry, Engineering etc. Strong programming skills with SQL (essential) and ideally Python, building code and models, and More ❯

within marketing, analytics and insight teams to understand their needs and uncover opportunities to grow customer understanding and optimise marketing activities Planning and scoping machine learning solutions to marketing challenges and opportunities that will support customer loyalty and generate further value Leveraging our vast dataset to develop new … analysing data in a corporate environment Experience using Jupyter notebooks and version control within a team using Git. High understanding and extensive experience using machine learning techniques e.g. regression, classification, clustering, graphing networks Experience of generating data science solutions by working with marketing and customer data to drive More ❯

where data drives strategic decision-making within the property space. You’ll lead the data science vision while remaining hands-on with AI and machine learning initiatives that have real business impact. This is ideal for someone who enjoys blending leadership, strategy, and technical depth. This would be … the Principal, Manager, Head of Data Science level. Key Responsibilities Define and deliver the data science strategy to unlock business value. Identify AI/ML opportunities and develop impactful, scalable solutions. Lead and mentor a cross-functional team of scientists and engineers. Stay hands-on where needed, guiding model design …/PhD in Data Science, Computer Science, Maths or similar. Hands on experience in data science or AI, including leadership roles. Deep expertise in machine learning, NLP, and predictive modelling. Proficient in Python or R, cloud platforms (AWS, GCP, Azure), and big data tools (e.g. Spark). Strong More ❯

where data drives strategic decision-making within the property space. You’ll lead the data science vision while remaining hands-on with AI and machine learning initiatives that have real business impact. This is ideal for someone who enjoys blending leadership, strategy, and technical depth. This would be … the Principal, Manager, Head of Data Science level. Key Responsibilities Define and deliver the data science strategy to unlock business value. Identify AI/ML opportunities and develop impactful, scalable solutions. Lead and mentor a cross-functional team of scientists and engineers. Stay hands-on where needed, guiding model design …/PhD in Data Science, Computer Science, Maths or similar. Hands on experience in data science or AI, including leadership roles. Deep expertise in machine learning, NLP, and predictive modelling. Proficient in Python or R, cloud platforms (AWS, GCP, Azure), and big data tools (e.g. Spark). Strong More ❯

new customer analytics team as a senior data scientist. You will be building analytics models using a range of data science approaches, such as machine learning and statistical techniques, along with wider analytical approaches such as time series and analytics with unstructured data (e.g., NLP). They recently … used gradient boosting machine learning to predict radio listening behaviour for a client, taking into account advertising spend. The Successful Candidate Is Likely To Have: Commercial skills: Ability to talk confidently to clients, discussing and advising on business objectives. Proven track record of how results can best be … work autonomously when required, demonstrating the ability to prioritise and organise. Technical skills: Excellent working knowledge of advanced analytical techniques, including regression, segmentation, deep learning, natural language processing, text analytics, and time-series modelling. Experience of a wide variety of technologies including R or Python, SQL. Understanding and experience More ❯

role, your primary focus will be on designing and building robust data pipelines, architectures, and platforms to support the delivery of advanced analytics and machine learning models for our eCommerce partners as a part of Amazon's new generation of Paid Services. You will work directly with our … team In this position, you will be part of the JP Science and Data team, consisting of scientists, business intelligence engineers, data engineers, and machine learning engineers, collaborating with Product Managers and Software Developers worldwide. Our current projects touch on the areas of causal inference, representation learning … on: we believe that collaboration is paramount, and working in isolation does not lead to a happy team. We place strong emphasis on continuous learning through internal mechanisms for our team members to keep on growing their expertise and keep up with the state of the art. Our goal More ❯

in CRM, with expertise in localization and personalization strategies. Key skills should include customer journey mapping, customer lifecycle management, and segmentation using data-driven machine learning techniques. This role requires a deep understanding of customer needs, touchpoint analysis, and strong business acumen. We seek someone who can effectively … team, CS as well as vendors to create seamless customer experiences and effective handoffs. Inclusive Environment: Create a motivational workplace environment that encourages continuous learning, innovation, and open communication. CRM Automation and Tech Management Strategy Creative Development: Lead the development of creative strategies and executions for customer engagement and … Strong analytical abilities with proficiency in CRM software, Business Intelligence tools, and Customer Data Platforms (CDP). Technical skills in SQL, ETL process, Python, Machine Learning, Data modeling, HTML, and CSS are a plus. Excellent communication and presentation skills, capable of conveying complex ideas and strategies effectively to More ❯

Experience developing and implementing data strategies Strong background in data governance, data quality management and data protection regulations Experience in working with advanced analytics, machine learning and big data technologies In depth understanding of data architecture, data management and data warehousing concepts Knowledge of relevant data protection laws … and regulations Proficient in statistical analysis, machine learning and data visualisation techniques Familiarity with modern data tools and platforms, such as SQL, Python and cloud based data services (e.g AWS, Google Cloud, Azure More ❯

Experience developing and implementing data strategies Strong background in data governance, data quality management and data protection regulations Experience in working with advanced analytics, machine learning and big data technologies In depth understanding of data architecture, data management and data warehousing concepts Knowledge of relevant data protection laws … and regulations Proficient in statistical analysis, machine learning and data visualisation techniques Familiarity with modern data tools and platforms, such as SQL, Python and cloud based data services (e.g AWS, Google Cloud, Azure More ❯

you will: Dive into large datasets to extract meaningful insights and identify trends that drive strategic decision-making. Develop and refine predictive models and machine learning algorithms to address complex business challenges. Partner with cross-functional teams, including data engineers, analysts, and product managers, to design and implement …/hybrid working options Comprehensive training and development opportunities Career progression in a supportive environment Skills and Experience Proven experience in data science, including machine learning and statistical analysis. Proficiency in Python, R, or similar programming languages. Strong SQL skills for data manipulation and querying. Experience with data More ❯

Distributed Training, APJ Job ID: Amazon Web Services Korea LLC Do you want to help define the future of Go to Market (GTM) of Machine Learning and Generative AI (GenAI) at AWS? Would you like to join one of the fastest-growing organizations focused on some of the … GenAI models and applications to engineering teams and C-Level executives. This requires deep familiarity across the stack - compute infrastructure (Amazon EC2, Amazon EKA), ML frameworks PyTorch, JAX, orchestration layers Kubernetes and Slurm, parallel computing (NCCL, MPI), MLOPs, through to Amazon SageMaker Hyperpod, Amazon Bedrock as well as target use … key technical leader. Additionally, you will work with the AWS Generative AI and EC2 product teams to shape product vision and prioritize features for ML Frameworks and applications. A keen sense of ownership, drive, and being scrappy is a must. Key job responsibilities Work directly with customers to accelerate their More ❯

of those programs, and provide recommendation on the most appropriate programs depending on the vendor need. It will require working in the areas of ML and causal inference for downstream impact estimation. The ideal candidate will have knowledge of at least one of ray, spark or rapidsai framework to accelerate … model training. A background in causal inference (e.g. Double ML) is a plus but not required. This is the ideal role if you are excited about leveraging science for tangible business impact. You will work within an international team of scientists and engineers, all based in Tokyo, Japan. We are … maintain that culture through collaboration with universities, exchange programs, and conference participation. BASIC QUALIFICATIONS - PhD, or Master's degree and 5+ years of building machine learning models for business application experience - Knowledge of programming languages such as C/C++, Python, Java or Perl PREFERRED QUALIFICATIONS - PhD in More ❯

shortest time to resolution possible. We have ambitious goals to augment human ability and increase levels of automation using the latest generative AI and machine learning techniques, web frameworks, and the AWS product suite itself. We are seeking curious self-starters to join our dynamic and growing team. … will actively participate in reviews of systems owned by partner teams. Drive automation and refactoring of existing solutions, including incorporating new generative AI and machine learning components. Ensure scalability, reliability and efficiency of automation processes. Report and analyze usage statistics of the tools and services that our team 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 … role is critical in enabling all of our teams to push the boundaries of what's possible in the world of artificial intelligence and machine learning. If this sounds exciting to you, we would love to talk - even if you don't tick all of the boxes. What you … will do Build, maintain, and scale a self-service production Kubernetes cluster to run machine learning workloads in the cloud Help develop and execute our cloud roadmap, in-line with industry best practices, with an emphasis on cloud agnosticism to support the deployment to private cloud and on More ❯

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 … or equivalent experience • Working knowledge of at least two technology domains, such as distributed internet-scale web or mobile applications, Serverless, Big Data, analytics, Machine Learning, enterprise workloads (SAP, VMware, Windows etc.), high-performance databases (SQL and/or NoSQL), complex networking implementations, highly secured workloads, etc. and … or AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred • Deep understanding of AWS services across compute, storage, networking, security, databases, machine learning, and serverless technologies • Knowledge of security and compliance standards (e.g., HIPAA, GDPR) • Expertise in performance optimization and cost management for cloud environments More ❯

natural leader with a passion for empowering teams and driving operational excellence in AI and machine learning? Whether you come from a ML/AI engineering, data engineering or software engineering background, Trustpilot is looking for a driven Engineering Manager to lead our AI Platform team! The Mission … Trustpilot, you'll lead a team focused on building and maintaining the infrastructure, tools, and processes that enable scalable, reliable, and efficient AI and ML operations. Your leadership will be key in defining and evolving best practices for deploying, monitoring, and managing AI and ML models in production. Your technical … expertise and leadership will shape the future of AI and ML operations at Trustpilot. Your role as an Engineering Manager: Lead, mentor, and inspire a team of engineers, fostering a collaborative and high-performance environment. Drive the team's technical vision, ensuring alignment with business goals and best practices in More ❯

global team and enables Amazon to deliver a superior shopping experience to customers worldwide. Our mission is to empower Amazon's LLMs through Reinforcement Learning from Human Feedback (RLHF) across various categories at high speed. We aspire to provide an end-to-end data solution for the LLM lifecycle … We enable shopping feature teams deliver superior CX quality by providing them reliable and comprehensive insights and ground truth data to measure and train ML (Machine Learning) models and handle annotation and Root Cause Analysis (RCA) across 10 different languages. Minimum Qualifications Minimum 2 years Project/Program … Quality tools, SPC, Hypothesis Testing, Regression Analysis. Preferred Qualifications Advanced degree (technical or MBA). Six Sigma Green Belt or Lean Certification. Skilled in ML and Python. Self-starter capable to taking initiative and working with minimal direction. Ability to execute with total autonomy and deal with ambiguity. Assisting teams More ❯

on information from our data development platform. Building sophisticated RAG systems on other types of data than the usual text documents. Following the latest machine learning research to identify and apply new methods that improve our processes or the user experience. Ensuring our customers have the world's … most powerful AI-powered data development platform. Skills for the job: A PhD or similarly strong academic background in machine learning, with 2+ years of hands-on experience in LLM fine-tuning, RAG systems, and prompt engineering. Proficiency with frameworks like PyTorch, Tensorflow, JAX, Pandas, and OpenCV. A … working in the office 3+ days a week (engineers typically work on-site Wednesdays). - 25 days annual leave + public holidays. - An annual learning and development budget to help you grow your skills. - Company lunches twice a week and regular socials, including bi-annual off-sites. At Encord More ❯

technologist who possesses a unique balance of business knowledge, effective interpersonal skills, and some technological depth in the following areas: analytics/big data, machine learning and generative artificial intelligence and have experience with startups. As a GenAI strategist you will help outline and scope startup technical and … BASIC QUALIFICATIONS Bachelor's degree in business, computer science or related field. Professional experience, including prior work with startups. Technology domain experience in LLM, Machine Learning, AI, and GenAI. Experience adopting GenAI solutions, tooling or applications. Experience in management consulting or related advisory type of work. PREFERRED QUALIFICATIONS … desired (e.g., MBA, MS). Experience launching technically complex programs, projects, or related work that include the following: big data, analytics, artificial intelligence, and machine learning. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. More ❯

Stack: Excel guru! of course! Advanced SQL Python for analysis of large data sets Creative mind in developing pricing models Data Science methods and machine learning Manage Data extraction from various sources (using API’s) This is a great chance to challenge your Pricing skills and work in … an environment that champions applying machine learning and data science techniques! Hit apply, you don’t even need your most recent CV right now; we’ll be in touch to go through your experience and discuss the opportunity & client in more detail with you. As an employer and More ❯

Stack: Excel guru! of course! Advanced SQL Python for analysis of large data sets Creative mind in developing pricing models Data Science methods and machine learning Manage Data extraction from various sources (using API’s) This is a great chance to challenge your Pricing skills and work in … an environment that champions applying machine learning and data science techniques! Hit apply, you don’t even need your most recent CV right now; we’ll be in touch to go through your experience and discuss the opportunity & client in more detail with you. As an employer and More ❯