551 to 575 of 2,253 Machine Learning Jobs in London

deliver data-driven insights. Design and build scalable data pipelines and ETL processes. Perform data exploration, preprocessing, and feature engineering. Conduct statistical analysis and machine learning model development. Communicate findings and insights to stakeholders through data visualization and reports. Stay current with industry trends and best practices in … Science, Statistics, or a related field (or equivalent experience). Preferred Qualifications: Advanced degree (Master's or Ph.D.) in a relevant field. Experience with machine learning frameworks (e.g., TensorFlow, PyTorch). Knowledge of data visualization tools (e.g., Tableau, Power BI). Familiarity with version control systems (e.g., Git More ❯

Machine Learning Specialist, Artificial General Intelligence Job ID: Evi Technologies Limited Amazon is seeking an AI Content Expert II to assist with annotations, content generation, and data analysis. As part of the Data Team, your primary responsibility will be delivering high-quality training data to enhance and expand More ❯

Manager II - ML Data operations, (GO-AI) Want to join the Earth's most customer centric company? Are you someone who likes to design the right workforce strategy to meet long-term process targets? Do you like to develop the talent to create a high performing team? If yes, we … GO-AI) is a part of Amazon Robotics (AR), an organization in Fulfillment Technologies & Robotics (FTR). GO-AI enables Computer Vision (CV) and ML-based automation by delivering high quality data to improve AI and Machine Learning (ML) product lifecycle through near real-time human-in-the More ❯

is looking for a Data Scientist to work hands on from concept to delivery on generative AI, statistical analysis, prescriptive and predictive analysis, and machine learning implementation projects. We are looking for a problem solver with strong analytical skills and a solid understanding of statistics & machine learning … up disparate data from enterprise systems. Key Job Responsibilities Ability to understand a business problem and the available data and identify what statistical or ML techniques can be applied to answer a business question. Given a business problem, estimate solution feasibility and potential approaches based on available data. Understand what … to facilitate permissions and acquisition of required data. Quickly prototype solutions and build models to test feasibility of solution approach. Build statistical models/ML models, train and test them to drive towards the optimal level of model performance. Improve existing processes with development and implementation of state of the More ❯

have enormous impact on what we do. We are actively engaged with the broader technology community. We host and sponsor London's PyData and Machine Learning Meetups We regularly talk at leading industry conferences, and tweet about relevant technology and how we're using it. We're fortunate … football, and a piano We offer competitive compensation, a generous holiday allowance, various health and other flexible benefits. We are also committed to continuous learning and development via coaching, mentoring, regular conference attendance and sponsoring academic and professional qualifications. Technology and Business Skills Exceptional technology skills; recognised by your … hedge fund or investment bank Experience of web based development and visualisation technology for portraying large and complex data sets and relationships Experience of machine learning techniques, natural language processing and related libraries and frameworks e.g. scikit-learn, Tensorflow Personal Attributes Strong academic record and a degree with More ❯

sports, and consumer goods maximise their marketing impact. You’ll be part of a collaborative Data Science team, working on large-scale datasets, building machine learning models, and delivering actionable insights for high-profile clients. Key Responsibilities Lead the development of solutions for complex client challenges … defining clear success criteria. Support and mentor junior team members, fostering a collaborative environment. Independently manage client relationships and project expectations. Develop and deploy ML models, applying innovative approaches beyond basic feature engineering. Use Python, SQL, and Tableau for reporting and analysis within an AWS environment. Work closely with Data … expertise, with the ability to apply and evaluate various algorithms. Proficiency in Python (Pandas), SQL, and data analytics tools. Experience deploying and evaluating ML models in production environments. Ability to interpret complex datasets, drawing meaningful insights to drive business decisions. Strong communication skills, with experience in managing client relationships. More ❯

engineer than the exact languages you've used. Experience and expertise in data science, ideally with a blend of some of the following skills: Machine learning techniques - including supervised and unsupervised methods and model evaluation. Key libraries including scikit-learn, scipy, pandas, and numpy (or equivalents). Data … but not limited to: Computer Science/Information Technology, Software Engineering, Mathematics with Data Science, Statistics, Big Data or Applied Data Analytics, Artificial Intelligence, Machine Learning, AI Ethics or Responsible AI. Why Join Us? Innovate at the Highest Level - Work with industry leaders on Advisory and transformation engagements. More ❯

engineer than the exact languages you’ve used. ✅ Experience and expertise in data science, ideally with a blend of some of the following skills: Machine learning techniques – including supervised and unsupervised methods and model evaluation. Key libraries including scikit-learn, scipy, pandas, and numpy (or equivalents). Data … but not limited to: Computer Science/Information Technology, Software Engineering, Mathematics with Data Science, Statistics, Big Data or Applied Data Analytics, Artificial Intelligence, Machine Learning, AI Ethics or Responsible AI Why Join Us? 🧠 Innovate at the Highest Level - Work with industry thought leaders and help further innovate More ❯

engineer than the exact languages you’ve used. ✅ Experience and expertise in data science, ideally with a blend of some of the following skills: Machine learning techniques – including supervised and unsupervised methods and model evaluation. Key libraries including scikit-learn, scipy, pandas, and numpy (or equivalents). Data … but not limited to: Computer Science/Information Technology, Software Engineering, Mathematics with Data Science, Statistics, Big Data or Applied Data Analytics, Artificial Intelligence, Machine Learning, AI Ethics or Responsible AI Why Join Us? 🧠 Innovate at the Highest Level - Work with industry thought leaders and help further innovate More ❯

reliable data flows. You will collaborate with analysts and data scientists to design and maintain data models that enable more intuitive use for reporting, machine learning, and advanced analytics. You will design and implement robust data governance frameworks, ensuring high data quality, compliance, and consistency. You will recommend … Familiarity with Docker, Terraform, and Kubernetes for application orchestration and deployment. Understanding of data science concepts and experience collaborating with data scientists to productionise machine learning models. Strong communication skills, with the ability to translate complex business needs into effective technical solutions. What's in it for you … counselling and therapy sessions for team members that need emotional or mental health support. Generous parental leave and a nursery tax benefit scheme. A learning and development budget for everyone. Access to learning platforms like Treehouse. Two company retreats a year (they have been to the likes of More ❯

application and its data workflows from Azure SQL to Databricks, creating and optimizing data pipelines in Databricks, and leveraging scheduling, job orchestration, and optionally machine learning features to serve trading and analytics needs. The Senior Data Engineer will also collaborate with quantitative analysts, traders, and commercial stakeholders to … to learn new technologies, markets, and business concepts. Plusses: Exposure to Dash Plotly (or similar Python frameworks like Streamlit) for dashboard creation. Experience with Machine Learning model development and data science workflows (including frameworks such as scikit-learn, PyTorch, or TensorFlow). Experience in Quantitative Finance or strong More ❯

application and its data workflows from Azure SQL to Databricks, creating and optimizing data pipelines in Databricks, and leveraging scheduling, job orchestration, and optionally machine learning features to serve trading and analytics needs. The Senior Data Engineer will also collaborate with quantitative analysts, traders, and commercial stakeholders to … to learn new technologies, markets, and business concepts. Plusses: Exposure to Dash Plotly (or similar Python frameworks like Streamlit) for dashboard creation. Experience with Machine Learning model development and data science workflows (including frameworks such as scikit-learn, PyTorch, or TensorFlow). Experience in Quantitative Finance or strong More ❯

to solve complex deployment and inference challenges in resource-constrained environments Required Expertise PhD in computer science, physics, engineering, or related field with significant machine learning focus 2+ years of hands-on experience building and deploying real-world AI systems that solved genuine business problems Mastery of machine learning fundamentals with deep understanding of model architecture design Proven experience with advanced deep learning concepts such as CNNs, time-series models, and transfer learning Exceptional problem-solving abilities with a bias toward practical solutions Eligible to work in the UK Preferred Qualifications Experience deploying AI … Competitive salary Comprehensive healthcare package 25 days holiday plus bank holidays Central London location with excellent facilities (in-person role) Regular team events and learning opportunities More ❯

to solve complex deployment and inference challenges in resource-constrained environments Required Expertise PhD in computer science, physics, engineering, or related field with significant machine learning focus 2+ years of hands-on experience building and deploying real-world AI systems that solved genuine business problems Mastery of machine learning fundamentals with deep understanding of model architecture design Proven experience with advanced deep learning concepts such as CNNs, time-series models, and transfer learning Exceptional problem-solving abilities with a bias toward practical solutions Eligible to work in the UK Preferred Qualifications Experience deploying AI … Competitive salary Comprehensive healthcare package 25 days holiday plus bank holidays Central London location with excellent facilities (in-person role) Regular team events and learning opportunities More ❯

Focus cameras at the edge. As a Staff Engineer, you'll provide technical leadership for Engineers across the AML squads to deliver AI/ML solutions at scale, shaping the future of sports technology. The priorities for this role include: Define the technical direction. You'll set the tone for … technical capabilities required to stay ahead of challenges we'll likely encounter over the next 12-24 months. Own complex, high-impact AI/ML projects. You'll work across multiple business units, ensuring high-quality delivery that aligns with business goals. Define excellence. Through your example, you'll set … number of days you come to the office. Must-Haves A product focus. You have a proven track record of delivering impactful AI/ML products at scale. Leadership experience. You know how to coach and influence a team of Engineers in large organizations. Technical expertise. You have built, maintained More ❯

the Power/Natural Gas Market. Profile/Key Skills The ideal candidate has strong background in quantitative skills (like statistics, mathematics, advanced computing, machine learning) and has applied those skills in solving real world problems, particularly in the power & gas business. The required expertise includes (but is … to): Natural Gas Modelling: Advanced experience with different forms of Power/Natural Gas modelling: Stack, Bid Offer, Interconnectors, Gas Storages and Pipelines Applied Machine learning techniques: Good to have latest applied machine knowledge to improve models Statistics/Mathematics: Data Quality Analysis, Data identification, Hypothesis testing More ❯

will collaborate closely with medicinal chemists, biologists, ADME and engineers to drive drug discovery using Recursion's cutting-edge Design Platform. Leveraging AI/ML, computational chemistry and drug design tools, you will help invent new medicines with unprecedented productivity. Beyond hands-on project work, you'll have opportunities to … to help you grow, learn, and make a lasting impact. In this role, you will: Design potential drug molecules using cutting-edge AI/ML, molecular dynamics, synthesis-aware generative design and active learning. Build and execute generative workflows, collaborating with medicinal chemists and biologists to refine and prioritize designs. … Excellent interpersonal, verbal, and written communication skills, with the ability to effectively engage both internal teams and external stakeholders. Strong interest in AI/ML and its application to drug discovery. Knowledge of pharmacokinetics and ADME data interpretation. Experience applying machine learning techniques for predictive modeling and generative More ❯

into the user experience to enhance engagement and retention. Optimise Through Machine Learning: Work closely with data scientists to refine and implement ML models that tailor notifications to user behaviours and preferences. Content Strategy Collaboration: Partner with Content Designers to develop engaging notification content tailored to drive user … interaction and improve chat engagement. Team Leadership: Work with a talented cross-functional team comprising data scientists, ML ops, backend and front-end engineers, and analysts to deliver on project goals. Execution Excellence: Maintain a high standard of execution to ensure timely delivery of initiatives, overcoming obstacles and ensuring team … alignment. Outcome 1: Increase user retention Ship an ML-powered notification recommender that delivers personalised, timely, insightful messages. Work cross functionally with DS and Engineering to ensure the recommender can scale and have an objective function that's aligned with user needs and business objectives. Provide direction for Content Designers More ❯

part of their Marketing Sciences Data Science Team, you’ll play a pivotal role in revolutionising marketing strategies through cutting-edge Data Science and Machine Learning solutions. What You’ll Do Build predictive models for campaign optimisation, forecasting, and price elasticity analysis. Support junior data scientists while contributing … led decision-making. What We’re Looking For A strong academic background in Computer Science, Mathematics, Physics, or a related field. Proven experience in machine learning applications such as recommendation systems, segmentation, and marketing optimisation. Proficiency in Python, SQL, Bash, and Git, with hands-on experience in Jupyter More ❯

part of their Marketing Sciences Data Science Team, you’ll play a pivotal role in revolutionising marketing strategies through cutting-edge Data Science and Machine Learning solutions. What You’ll Do Build predictive models for campaign optimisation, forecasting, and price elasticity analysis. Support junior data scientists while contributing … led decision-making. What We’re Looking For A strong academic background in Computer Science, Mathematics, Physics, or a related field. Proven experience in machine learning applications such as recommendation systems, segmentation, and marketing optimisation. Proficiency in Python, SQL, Bash, and Git, with hands-on experience in Jupyter More ❯

an agile software development environment. Ability to estimate task effort and identify dependencies. Excellent communication skills. Familiarity with Python and its data, numerical, and machine learning libraries. It would be great if you also had: Experience with Hadoop and Jenkins. Azure and AWS certifications. Familiarity with Java. What … the UK. What Makes Us Different: Purpose: Use your passion and skills at Leidos to keep people safe. We are at the forefront of machine learning, AI, cybersecurity, and solutions. Help build a safer world and inspire change. Collaboration: We offer flexibility to work from home, the office More ❯

Engineer to join this growing team. The successful candidate will help ingest, cleanse, and model data into unified, analytics-ready datasets supporting Business Intelligence, machine learning, and Data Science initiatives. Core Duties Design and develop cohesive data repositories to support data-driven decision-making. Ingest data from a … BI engineering or integration experience Certified Scrum Developer (CSD) or similar Agile certification Experience with data governance tools, such as Microsoft Purview Exposure to machine learning and artificial intelligence use cases Personal Attributes Self-motivated and able to work independently without close supervision Organised, methodical, and structured in More ❯

Engineer to join this growing team. The successful candidate will help ingest, cleanse, and model data into unified, analytics-ready datasets supporting Business Intelligence, machine learning, and Data Science initiatives. Core Duties Design and develop cohesive data repositories to support data-driven decision-making. Ingest data from a … BI engineering or integration experience Certified Scrum Developer (CSD) or similar Agile certification Experience with data governance tools, such as Microsoft Purview Exposure to machine learning and artificial intelligence use cases Personal Attributes Self-motivated and able to work independently without close supervision Organised, methodical, and structured in More ❯

CD and the setup of relevant pipeline and processes. Work experience with working in Linux and Microsoft Azure. Nice to Have Experience with deep learning, machine learning and NLP frameworks such as PyTorch, HuggingFace Transformer, Scikit-learn. Experience with multiple cloud platforms such as AWS, Google Cloud More ❯

technical skills in a supportive, high-impact environment while contributing to real-world change in health and life sciences. Being adaptable and open to learning is essential, as is bringing curiosity, attention to detail, and a collaborative approach to everything you do. Responsibilities The responsibilities and duties of the … role will include, but are not limited to: Technical development and deployment Develop analytical models and tools using Python and statistical or machine learning techniques to address business challenges. Collaborate with consultants to understand client needs and design appropriate data solutions. Create effective data visualisations and dashboards that … or regulatory environments. Familiarity with cloud platforms (e.g., Azure, AWS) and containerisation tools (e.g., Docker). Exposure to natural language processing or AI/ML techniques. Experience contributing to technical aspects of proposals or client pitches. Flexible Working We embrace a hybrid working model, combining the best of remote and More ❯