151 to 175 of 1,714 Machine Learning Jobs in London

ever-changing operational needs. Are you a skilled Python Data Engineer with a passion for building scalable, production-level systems and an interest in machine learning? We want to hear from you!At Locus Robotics, we're evolving our data infrastructure to support advanced machine learning capabilities and real-time analytics. As a key member of our team, you'll help migrate our existing codebase into machine learning territory, drive innovation across multiple deployment sites, and collaborate closely with our optimization and engineering teams. You'll develop robust Python code, analyze system performance … real-time data analysis and system monitoring to ensure high uptime and efficiency. Collaborate with data scientists and engineers to support advanced analytics and machine learning workflows. Support the migration of our codebase toward machine learning capabilities by building scalable, maintainable solutions. Analyze system logs and More ❯

the Team We are committed to delivering high-quality solutions tailored to the specific needs of our customers. By harnessing the latest advances in machine learning combined with expert analysis, LexisNexis Intellectual Property is transforming how actionable insights are extracted from patent data. Information can now be accessed … of the delivery process - from pre-sales support through to project delivery. The p rimary responsibility of this role will be the training of machine learning classifiers using patent data across a variety of technologies and industries . This supervised learning process is conducted using the proprietary … Cipher' platform - no prior experience with machine learning techniques is required . Responsibilities Early Focus: Training supervised machine learning classifiers with curated patent data to enable automated patent tagging against specific technologies. Conducting desk-based research into various technologies and products. Working with customers to understand More ❯

to support business decisions. Provide support to Industry/Service offering teams to support new business opportunity identification/screening leveraging predictive analytics and ML techniques. Support in developing client presentations to pitch for new business opportunities. Provide ad hoc business development support and research assistance to the various communities … tools (e.g., Python, R, SQL, Tableau, Power BI) to analyse, visualize, and interpret data. Support efforts to continuously innovate and improve analytical processes using ML, ensuring the delivery of high-quality, adequately tested, timely projects. Conduct research using various research tools including Capital IQ, Bloomberg, Factiva and Statista to gather … and pre-process data for ML and AI applications. Perform complex data analysis using various data sets and work with external research providers to ensure quality and timely delivery of financial, situation and performance analysis and research. Additional responsibilities as identified. This description is not designed to encompass a comprehensive More ❯

global industry sounds exciting to you, read on. What you will be working on You'll work on Ki's suite of risk assessment machine learning models by building models, carrying out analysis of machine learning model quality to identify potential improvements in our models, and … you'll own the delivery of individual machine learning models to help Ki better assess and manage risk. Fully utilizing your experience with common machine learning frameworks (e.g. scikit-learn, TensorFlow, etc.) as well as any experience you have working in cloud environments, you'll work … closely with the Ki Portfolio Underwriting team to appropriately formulate commercial challenges as machine learning problems. Joining our Data Science community within Ki, you'll further develop your skills and guide junior members, helping them improve their engineering skill level and understanding of the insurance market. You'll More ❯

We're evoke, one of the world's leading betting and gaming companies and we're looking for a Product Machine Learning Scientist to join our team. In this role, you'll work on highly complicated challenges in the gaming industry. Take a significant part in the growth … business owners on growth opportunities and new ideas and be part of our AI revolution. This is a unique opportunity for end-to-end Machine Learning Scientists that have a strong background and experience in machine learning pipeline going through business understanding, data exploration, feature engineering … this post, you will have: MSc in Computer Science/Statistics/Engineering or a related field with a focus on applied statistics, AI, machine learning, or related fields with experience working with predictive and probabilistic models, clustering algorithms, classification models and time series techniques in a production More ❯

Remote Up to £75,000 We are working with an exciting scale up within the insurance space, who aim to revolutionise the industry through Machine Learning and advanced pricing strategies. They are seeking a Pricing Data Scientist to develop sophisticated pricing models, optimize predictive capabilities, and enhance automation … eager to make a significant impact in a cutting-edge environment. As a Pricing Data Scientist, you will play a crucial role in leveraging machine learning techniques to refine pricing strategies and improve … business outcomes. You will work closely with engineers and analysts to implement scalable pricing solutions and continuously monitor performance. Key Responsibilities Develop and refine ML-driven pricing models to enhance risk assessment and profitability. Apply advanced statistical and machine learning techniques to optimize pricing accuracy. Automate and streamline More ❯

innovator to power this momentum and unlock further future value for customers. This role owns strategic projects in new and ambiguous areas leveraging advance machine learning techniques to create new scalable products. The customer problems to solve for can vary from how to rank and search content across … aggregate and summarize insights to help customers discover, compare, and purchase products at Amazon. This role requires experience and domain knowledge in NLP and ML, together with effective communication and collaboration skills to influence across multiple partnership teams including Search, Personalization, Rufus (Amazon's Shopping AI Assistant) and Alexa. This … skills across many Machine Learning methodologies. - Published research work in academic conferences or industry circles. - Experience delivering complex end-to-end global ML solutions that run at very large scale. - Experience working with real-world data sets and building scalable models from big data. - Thinks strategically, but stays More ❯

As a Data Scientist, you will be responsible for modeling complex problems, discovering insights, and building risk algorithms that identify opportunities through statistical models, machine learning, and visualization techniques to improve operational efficiency. You will leverage your expertise in Machine Learning, Natural Language Processing (NLP), and … technology with practical business applications, requiring someone passionate about transforming the way we interact with technology while delivering measurable impact through advanced analytics and machine learning solutions. You will need to collaborate effectively with business and product leaders within ISS and cross-functional teams to build scalable solutions … their performance experience. Experience applying theoretical models in an applied environment. PREFERRED QUALIFICATIONS Experience in Python, Perl, or another scripting language. Experience in a ML or data scientist role with a large technology company. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have More ❯

and you'll keep millions of users listening by making great recommendations to each and every one of them. We are looking for a Machine Learning Engineer II to join our product area of hardworking engineers that are passionate about connecting new and emerging creators with users via … state-of-the-art ML. What You'll Do Contribute to designing, building, evaluating, shipping, and refining Spotify's personalization products by hands-on ML development. Collaborate with a cross-functional agile team spanning user research, design, data science, product management, and engineering to build new product features that advance … ways. Prototype new approaches and productionize solutions at scale for our hundreds of millions of active users. Promote and role-model best practices of ML systems development, testing, evaluation, etc., both inside the team as well as throughout the organization. Be part of an active group of machine learning More ❯

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 … 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 … 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 More ❯

reimagine themselves by becoming advocates and champions for their Customers. Joining our team, you'll work with world-class and passionate people to apply machine learning and statistical techniques to business problems. You'll contribute to the research and implementation of new approaches to address complex problems and … to present results to a variety of internal stakeholders. What we expect from you Master's degree or equivalent in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Applied Statistics, Physics, Engineering, Biology or related field. A PhD in any of these fields is especially beneficial. Experience with machine learning techniques such as regularised regression, clustering or tree-based ensembles, and the ability to implement them through libraries. Experience with programming, ideally Python, and the ability to quickly pick up handling large data volumes with modern data processing tools, e.g. by using Hadoop/Spark/SQL. More ❯

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 … by our customers. The Role As a 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 … 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 More ❯

leverage data-driven techniques to generate insights that empower strategic decision-making, improve care delivery, and enhance workforce efficiency and resident outcomes. Specialising in machine learning and statistical analysis, you will be responsible for developing predictive models, delivering advanced analytics, and uncovering trends to shape the organisation's … care home operations. By designing and deploying machine learning models, conducting trend analysis, and developing predictive tools, you will forecast resident needs, workforce requirements, and financial outcomes. You will collaborate closely with data engineers, analysts, and operational teams to translate business challenges into data-driven solutions, presenting insights … experience to the role: You will need to have strong programming skills in languages like Python, R, or other statistical programming tools. Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn is essential to successfully build and deploy models. Additionally, you should have a solid More ❯

Hybrid) Salary/Rate: £584 (inside IR35) Start Date: May Job Type: Contract Company Introduction You'll work with the client team to apply machine learning and statistical techniques to business problems. You'll contribute to the research and implementation of new approaches to address complex problems and … the opportunity to present results to a variety of internal stakeholders. This is an initial 6 month contract. Job Responsibilities/Objectives Experience with machine learning techniques such as regularised regression, clustering, or tree-based ensembles, and the ability to implement them through libraries. Experience with programming, ideally … with modern data processing tools, e.g. by using Hadoop/Spark/SQL. Experience with or ability to quickly learn open-source software including machine learning packages, such as Pandas, and Sci-kit learn, along with data visualisation technologies. Required Skills/Experience The ideal candidate will have More ❯

smart way to get away. About the team Our Data Science team comprises eight members, including four Senior Data Scientists, two Data Scientists, a Machine Learning Engineer and the Head of Data Science. We specialise in various areas such as Recommender Systems, Time Series Forecasting, Deep Learning, and Reinforcement Learning, fostering a collaborative learning environment. Our focus is on modelling and problem-solving, leveraging advanced machine learning techniques to create solutions to challenging business problems. We prioritise clean, well-tested code with a culture of documentation and knowledge sharing. Our tech stack … that significantly enhance business performance Expert-level knowledge of machine learning and statistical methods for predictive modelling and forecasting Extensive experience deploying ML models to production at scale with robust monitoring systems Advanced knowledge of SQL and data manipulation techniques Mastery of software engineering best practices including unit More ❯

backfill a critical position within our team. This role focuses on the training and enablement of data science operating models, best practices, and the machine learning lifecycle across data science functions. Previous experience in training and enablement of data science operating models, best practice, ways of working and … machine learning lifecycle on data science Focusing on process and ways of working, industry best practice and willing to jump right in and help with development of new ways of working, training and best practice You'll have an Innovative mindset: constantly seeks new approaches and technologies to … improve data science practices and outputs The ability to be able to design and provide training Key Responsibilities: • Develop and optimise machine learning modules ensuring their successful deployment. • Foster a culture of best practices in data science processes and ways of working. • Collaborate closely with federated Data Science More ❯

joining a newly established Data Science & AI Centre of Excellence within our Digital Products team. We are looking for expertise in Python and Azure Machine Learning to develop data-driven solutions to address business challenges and create innovative digital products. The role is commercially focused and you will … offer hybrid working and the expectation is to be in office two days per week. How you'll make an impact Develop and implement machine learning models using Python and Azure Machine Learning. Migrate and operationalise models for flood, quake, climate, and hurricane predictions. Support the development … of our Cyber Technographic Insight Discovery Engine (TIDE). Utilise classical machine learning techniques to build explainable models. Contribute to our AI strategy and enhance internal data science capabilities. Collaborate with cross-functional teams to drive data-driven innovation. Write well-documented, tested, and readable code. Conduct data More ❯

for a Machine Learning Engineer with strong data science roots and real-world deployment experience to help shape, optimise and scale our ML stack as we continue to grow. YuLife is an award-winning InsurTech company and an employee benefit provider. We're the world's first "lifestyle … machine learning engineering. You'll be working alongside our Lead Data Scientist and the wider data team to evolve and scale our ML infrastructure. You'll play a key role in building, deploying and optimising both real-time and batch ML models, ensuring they run smoothly and add … measurable value to our product and users. Day to day responsibilities include, but are not limited to: Designing, building, and deploying production-grade ML pipelines and services in Python Collaborating with data scientists and data engineers to productionise models and guide them through deployment best practices Improving the scalability, reliability More ❯

Amazon Pay Data and Analytics team is looking for an experienced Senior Applied Scientist with excellent ML/science technical skills. If you are a self-starter, someone who thrives in a fast-paced environment, with a passion for building scalable long-term solutions, then you are the right candidate … team. In this role, the candidate would work closely with tech teams and product/program across US, EU and JP to build scalable ML/science models. You will be responsible for driving innovation across a wide range of science initiatives, from natural language processing and conversational AI to … Our team achieves results through collaboration and clear goals. Key job responsibilities Drive and lead strategic initiatives to employ the most recent advances in ML/AI in a fast-paced, experimental environment Build AI/ML models to generate actionable insights for the business Create tools and solve challenges More ❯

your strengths and interests, you'll have the opportunity to move between them. Job responsibilities : Advise and lead development of tooling for AI/ML development and deployment. Lead deployment and maintenance of infrastructure, model monitoring and observability tools, providing an effective model development platform for data scientists and ML … engineers. Collaborate with machine learning model developers to bring ML models to production. Mentor and lead a team of engineers focused on deploying machine learning pipelines at scale. Partner with product, architecture, and other engineering teams to define scalable and performant technical solutions. Influence across business … concepts and MLOps applied experience. Experience with machine learning engineering and operations in a large enterprise. Experience in building, evaluating and deploying ML models into production. Experience leading complex projects supporting system design, testing and operational stability. Demonstrated prior experience influencing across complex organizations and delivering value at More ❯

your strengths and interests, you'll have the opportunity to move between them. Job Responsibilities: Advise and lead development of tooling for AI/ML development and deployment. Lead deployment and maintenance of infrastructure, model monitoring and observability tools, providing an effective model development platform for data scientists and ML … engineers. Collaborate with machine learning model developers to bring ML models to production. Mentor and lead a team of engineers focused on deploying machine learning pipelines at scale. Partner with product, architecture, and other engineering teams to define scalable and performant technical solutions. Influence across business … concepts and MLOps applied experience. Experience with machine learning engineering and operations in a large enterprise. Experience in building, evaluating and deploying ML models into production. Experience leading complex projects supporting system design, testing and operational stability. Demonstrated prior experience influencing across complex organizations and delivering value at More ❯

systems and data pipelines Conducting experiments and evaluating model performance to ensure high-quality results Staying current with the latest developments in AI and machine learning technologies Influencing the technical direction of AI within G-Research Working with the latest Large Language Models (LLMs), utilising both commercial APIs … experience: A degree in Computer Science, Artificial Intelligence, or a related field, or equivalent professional experience Strong programming skills in Python, with experience in machine learning frameworks such as PyTorch, TensorFlow or JAX Hands-on experience fine-tuning LLMs and optimising hyperparameters for improved performance Skilled in building … LLM-powered applications for real-time decision-making and automation across various domains Familiarity with RAG and agentic workflows Solid understanding of machine learning algorithms, deep learning architectures, and their applications Strong problem-solving skills and the ability to translate complex business requirements into technical solutions Desirable More ❯

and evaluate new internal software releases, provide feedback to software engineering teams, make vital code fixes, and conduct code reviews. Benchmark models and key ML techniques to identify performance bottlenecks and improve model efficiency. Design and conduct experiments on novel AI methods, implement them and evaluate results. Collaborate with Research … have C++/other languages). Familiar with deep learning fundamentals: models, optimisation, evaluation and scaling. Capable of designing, executing and reporting from ML experiments. Ability to move quickly in a dynamic environment. Enjoy cross-functional work collaborating with other teams. Strong communicator - able to explain complex technical concepts … to different audiences. Desirable: Experience in one or more of: distributed training of large-scale ML models, building production systems with large language models, efficient computing based on low-precision arithmetic, deep learning models including large generative models for language, vision and other modalities . Experience writing C++/ More ❯

Machine Learning Engineer | FinTech We are searching for an Machine Learning Engineer to join a Series A startup on a mission to modernise outdated financial infra! They're using cutting-edge tech to build smarter, faster systems that rethink how finance works from the ground up. … building powerful, AI-driven solutions using open-source LLMs , replacing outdated systems with sleek, scalable tech within Asset Management. They’re now hiring an Machine Learning Engineer with a strong Python background and hands-on experience with LLMs , Langchain , and full-stack product development. You’ll be: Designing More ❯

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 … hackathons, and expand your horizons with conference visits. Key job responsibilities The MLE is accountable for: Work with scientists to design and develop scalable ML infrastructure that supports model training, deployment, and monitoring across hundreds of vendors Implement efficient data pipeline and architectures that enable automated ML workflows for our … eCommerce partners Build ML debugging and analysis tools to ensure model reliability and performance Utilizing Amazon systems and tools to effectively work with terabytes of data. Partner with product managers to shape the technical roadmap for vendor growth tooling at AMZ. About the team In this position, you will be More ❯