476 to 500 of 1,944 Machine Learning Jobs in London

receiving huge amounts of data and working out how customers are going to behave. You enjoy problem solving, and will be building gravity or machine learning models, for a variety of clients across wide ranging sectors. You want to be original - you don't want to do the … ideally customer related Coding skills in at least one of Python, R, Scala, C, Java or JS Track record of using data manipulation and machine learning libraries in one or more programming languages. Keen interest in some of the following areas: Big Data Analytics (e.g. Google BigQuery/ More ❯

receiving huge amounts of data and working out how customers are going to behave. You enjoy problem solving, and will be building gravity or machine learning models, for a variety of clients across wide ranging sectors. You want to be original - you don't want to do the … ideally customer related. Coding skills in at least one of Python, R, Scala, C, Java or JS. Track record of using data manipulation and machine learning libraries in one or more programming languages. Keen interest in some of the following areas: Big Data Analytics (e.g. Google BigQuery/ 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 ❯

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 ❯

data. These reveal fresh insights for our clients; helping them to build better products and brands, to deliver effective marketing to consumers. Our software, machine learning and AI are key to how we deliver impact, centred on: Natural Language Processing, GPT & other LLMs : unearthing trends, themes and other … their insights & analytics functions Marketing Data Science & Personalisation : using first party consumer data to understand each client's consumer base, building personalisation and other machine learning models to better engage with and excite consumers Data Engineering & Data Architecture : data engineering across a variety of tools to integrate these … a key part in maintaining our Technology Team's competitive edge. We are looking for a passionate and ambitious data scientist, enthusiastic about continuously learning through exploring and experimenting with trends in data science and NLP, with a keen interest in applying innovative approaches to digital consumer data sources 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 ❯

for building scalable, efficient software solutions Innovative approach to solving complex technical challenges Strong sense of initiative and product ownership Experience with AI and machine learning integration preferred What's in it for you Cutting-Edge Technology: Work with the latest web and cloud technologies Inclusive Work Culture … emphasizing mutual respect Flexible Working Hours: Arrangements that prioritize productivity and work-life balance Real-World Impact: Develop software that drives technological innovation Continuous Learning: Opportunities for professional development in technical and soft skills Iprova Culture Iprova is a mix of people and backgrounds, from very bright machine learning engineers and invention developers to pragmatic managers. Across this group there is a common thread - a desire to develop software products and services that enable the creation of inventions for the future, with measurable business value to our clients. If you are looking for a company where More ❯

React, Next.js) back-end development (TypeScript, Node.js), cloud providers (AWS, Google Cloud, Azure), databases (SQL and NoSQL), and mobile development (iOS and Android). Machine Learning Experience: Practical experience building machine learning models; familiarity with healthcare data is a bonus. Leadership: Previous experience mentoring or leading More ❯

React, Next.js) back-end development (TypeScript, Node.js), cloud providers (AWS, Google Cloud, Azure), databases (SQL and NoSQL), and mobile development (iOS and Android). Machine Learning Experience: Practical experience building machine learning models; familiarity with healthcare data is a bonus. Leadership: Previous experience mentoring or leading 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 ❯

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 ❯

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 ❯

is simple. Digitally disrupt and revolutionise a 335-year-old market. Working with Google and UCL, Ki has created a platform that uses algorithms, machine learning and large language models to give insurance brokers quotes in seconds, rather than days. Ki is proudly the biggest global algorithmic insurance … market algorithmic underwriting models and graphs of models at scale. Sample products you might be involved in building include, developer tooling, microservice orchestration systems, ML model serving infrastructure, feature serving and storage infrastructure. Principal Accountabilities: Build robust and scalable software for business critical, web-based applications Design, build, test, document … of software development in the financial markets, Fintech or Insurtech is preferable Experience or interest in building developer tooling, platform engineering, and/or machine learning is desirable Our culture Inclusion & Diversity is at the heart of our business at Ki. We recognise that diversity in age, race More ❯

is simple. Digitally disrupt and revolutionise a 335-year-old market. Working with Google and UCL, Ki has created a platform that uses algorithms, machine learning and large language models to give insurance brokers quotes in seconds, rather than days. Ki is proudly the biggest global algorithmic insurance … market algorithmic underwriting models and graphs of models at scale. Sample products you might be involved in building include, developer tooling, microservice orchestration systems, ML model serving infrastructure, feature serving and storage infrastructure. Principal Accountabilities: Build robust and scalable software for business critical, web-based applications Design, build, test, document … of software development in the financial markets, Fintech or Insurtech is preferable Experience or interest in building developer tooling, platform engineering, and/or machine learning is desirable Our culture Inclusion & Diversity is at the heart of our business at Ki. We recognise that diversity in age, race More ❯

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 ❯

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 ❯

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 ❯

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 ❯

of our industrial customers from various sectors, including (petro-) chemical, paper and pulp, automotive, metallurgy, telecom and food-and beverage. You will use various ML/AI/data science libraries and work on a variety of applications. You will get to use various state of the art technologies including … improve the algorithms in a scalable manner for AI-based anomaly detection and predictive modelling. Apply and sometimes (co-)invent and implement AI/ML algorithms for processing various types of data (timeseries, tabular, etc.). Develop computer models and perform predictive and prescriptive analytics for various applications. Build Proof … detection and predictive models on industrial or IoT data. Knack/experience in consultancy services. Qualifications: Previous hands-on experience in Data Science, delivering machine learning models to production. Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or Engineering - or equivalent. Proficiency in 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 ❯

and proposing and implementing their mitigations) Modelling, structuring and storing data along with their data flows for uses including - but not limited to - analytics, machine learning, data mining, compliance, business intelligence, sharing with applications and organisations Understand industry-recognised data modelling patterns and standards, and when to apply … suitably designing data architectures You have led client delivery across a range of projects for delivering data platforms, e.g. data analysis, ETL/ELT, machine learning pipelines/deployments, business intelligence reporting, data security. You have proven experience in their technologies You have developed data governance plans that More ❯