226 to 250 of 933 Machine Learning Jobs in London

specializes in sports trading, spanning football, soccer, cricket, and major US sports like the NBA. As part of their elite trading team, you’ll harness advanced statistical techniques and machine learning to build predictive models that shape their trading strategies. In this role, you’ll drive revenue growth and develop mathematical models to predict the outcomes of sports … events. Responsibilities: Utilise advanced statistical techniques and machine learning to build predictive models that shape our trading strategies Develop predictive models for sports outcomes using advanced mathematical and statistical techniques. Analyse real-world sports data to uncover patterns and generate insights that inform trading strategies. Implement and optimise numerical methods to support robust, scalable model performance in live More ❯

Mathematical Modelling Mathematical skills, particularly a keen understanding of probabilities and statistics Analytic mindset Strong communication skills Accuracy and attention to detail Experience in data science (big data, deep learning, machine learning) is beneficial Specific sports trading knowledge is beneficial but not essential If you feel you have the skills and experience required for this opportunity, please More ❯

this exciting journey! Key job responsibilities Design and implement enterprise-scale data infrastructure and storage solutions that ensure optimal performance and reliability. Architect and build Machine Learning (ML) platform infrastructure that supports the complete model lifecycle, from training environments and validation frameworks to production deployment and monitoring systems. Develop and maintain robust data governance frameworks, implementing security controls … successful delivery of solutions while maintaining high development standards. A day in the life A typical day as a Software Development Engineer involves architecting and building robust data and ML infrastructure solutions that power critical AI initiatives. Your morning might start with technical design discussions, collaborating with Applied Scientists to understand infrastructure needs for new AI models, or working with … solutions for performance and reliability. You'll often find yourself diving deep into production issues, implementing solutions that enhance system stability, and building new capabilities into our data and ML platforms. A significant portion of your time is spent implementing and improving monitoring systems that ensure our data infrastructure operates efficiently and securely. Cross-team collaboration is key, as you More ❯

Mathematical Modelling Mathematical skills, particularly a keen understanding of probabilities and statistics Analytic mindset Strong communication skills Accuracy and attention to detail Experience in data science (big data, deep learning, machine learning) is beneficial Specific sports trading knowledge is beneficial but not essential If you feel you have the skills and experience required for this opportunity, please More ❯

Graduate Business Consultant £35-38 k +OTE, Sales, IT Sales, Client Consulting. Must have a real zest for Technology, Customer Facing Role, Sales, IT Solutions, learning and Developing skillsets. Must enjoy traveling nationally and internationally. Our clients are champions and a multi award winning entity. They are seeking to hire capable, confident Graduates, as Graduate Business Consultants, with a … with OTE, training and development on an ongoing basis, with the tools you will need to succeed. Our clients follow Government guidelines Graduate Business Consultant, B2B, IT SALES, AI, Machine Learning, NLP Applications, UcaaS, IoT, Complex sales, Solution Sales. International Travel Key Responsibilities of a Graduate Business Consultant What our clients look for, Graduate Business Development Executive Sales More ❯

develop conceptual, logical, and physical data models Architect the expansion of our data warehouse and BI capabilities, including data lakes and streaming Design data pipelines and structures optimized for machine learning models Evaluate and recommend data technologies, tools, and platforms Participate in the Technical Governance approach, submitting designs for review and participating in architectural standups, working sessions and … with BI developers and data analysts to optimize data structures Provide expert guidance and mentorship to data engineers and developers Stay abreast of emerging data technologies and AI/ML trends, proposing innovative solutions WHAT SKILLS DO I NEED? Extensive Data Architecture Experience in designing and implementing complex enterprise data architectures, data warehouses, and data lakes in a global retail … deep knowledge of various database technologies (relational, columnar, NoSQL) Practical experience in establishing data governance frameworks, data quality initiatives, and Master Data Management solutions Understanding of data requirements for machine learning, including feature stores, data versioning, and MLOps principles Familiarity with common retail data domains (e.g., customer, sales, inventory, product, supply chain, marketing data) Ability to translate complex More ❯

of their in-house data science capabilities. This is a newly created role where you'll shape the future of how the team integrates advanced analytics, diverse datasets, and machine learning into high-impact client projects across sectors such as media, tech, and entertainment. You’ll be joining a collaborative, supportive environment with around 60 consultants, strategists, and … MaxDiff, KDA, etc.) Processing large, complex datasets (e.g. transactional data, 1st-party data, behavioural) Developing infrastructure and tooling for scalable analysis Expanding the use of AI, synthetic data and machine learning Collaborating with marketing to shape new, data-led propositions Upskilling team members in data science and statistical thinking Representing the agency externally in thought-leadership or event … as 1st-party or behavioural data Ability to explain technical findings clearly to non-technical audiences An innovative and proactive mindset with a love of new ideas, tools, and learning Nice to Have Experience establishing data science workflows in a commercial setting A track record of upskilling or training others in data/statistics A desire to contribute to More ❯

of their in-house data science capabilities. This is a newly created role where you'll shape the future of how the team integrates advanced analytics, diverse datasets, and machine learning into high-impact client projects across sectors such as media, tech, and entertainment. You’ll be joining a collaborative, supportive environment with around 60 consultants, strategists, and … MaxDiff, KDA, etc.) Processing large, complex datasets (e.g. transactional data, 1st-party data, behavioural) Developing infrastructure and tooling for scalable analysis Expanding the use of AI, synthetic data and machine learning Collaborating with marketing to shape new, data-led propositions Upskilling team members in data science and statistical thinking Representing the agency externally in thought-leadership or event … as 1st-party or behavioural data Ability to explain technical findings clearly to non-technical audiences An innovative and proactive mindset with a love of new ideas, tools, and learning Nice to Have Experience establishing data science workflows in a commercial setting A track record of upskilling or training others in data/statistics A desire to contribute to More ❯

of their in-house data science capabilities. This is a newly created role where you'll shape the future of how the team integrates advanced analytics, diverse datasets, and machine learning into high-impact client projects across sectors such as media, tech, and entertainment. You’ll be joining a collaborative, supportive environment with around 60 consultants, strategists, and … MaxDiff, KDA, etc.) Processing large, complex datasets (e.g. transactional data, 1st-party data, behavioural) Developing infrastructure and tooling for scalable analysis Expanding the use of AI, synthetic data and machine learning Collaborating with marketing to shape new, data-led propositions Upskilling team members in data science and statistical thinking Representing the agency externally in thought-leadership or event … as 1st-party or behavioural data Ability to explain technical findings clearly to non-technical audiences An innovative and proactive mindset with a love of new ideas, tools, and learning Nice to Have Experience establishing data science workflows in a commercial setting A track record of upskilling or training others in data/statistics A desire to contribute to More ❯

of their in-house data science capabilities. This is a newly created role where you'll shape the future of how the team integrates advanced analytics, diverse datasets, and machine learning into high-impact client projects across sectors such as media, tech, and entertainment. You’ll be joining a collaborative, supportive environment with around 60 consultants, strategists, and … MaxDiff, KDA, etc.) Processing large, complex datasets (e.g. transactional data, 1st-party data, behavioural) Developing infrastructure and tooling for scalable analysis Expanding the use of AI, synthetic data and machine learning Collaborating with marketing to shape new, data-led propositions Upskilling team members in data science and statistical thinking Representing the agency externally in thought-leadership or event … as 1st-party or behavioural data Ability to explain technical findings clearly to non-technical audiences An innovative and proactive mindset with a love of new ideas, tools, and learning Nice to Have Experience establishing data science workflows in a commercial setting A track record of upskilling or training others in data/statistics A desire to contribute to More ❯

developers. We have experts from around the firm who will teach you advanced skills in a variety of areas such as Trading/Market Mechanics, Statistics, R, Python, C++, Machine Learning, and our research process. You will later be coached to successfully apply those skills to build predictive models, leveraging one of the largest supercomputers in the world … graduate programs. Ideal candidates have an uncommon drive to learn and improve, an entrepreneurial spirit, and strong skills in programming and/or quantitative analysis (statistics, data mining, mathematics, machine learning, etc.). No prior knowledge of finance or trading is necessary. We'll give you the training that you'll need. Reliable and predictable availability required. Although More ❯

Design, research, and implement systematic trading strategies across global equities, futures, FX, or other liquid asset classes Conduct high-quality alpha signal research using alternative data, statistical techniques, and machine learning when appropriate Develop and test robust portfolio construction, execution, and risk management models Collaborate closely with data engineering and infrastructure teams to enhance research platform capabilities Take … trading firm, or top-tier investment bank Proven track record of alpha generation or contribution to profitable strategies Deep understanding of statistical modeling, time-series analysis, and/or machine learning techniques Strong programming skills in Python, C++, or similar; experience working with large datasets and research infrastructure Master’s or PhD in a quantitative field (e.g., Mathematics More ❯

Design, research, and implement systematic trading strategies across global equities, futures, FX, or other liquid asset classes Conduct high-quality alpha signal research using alternative data, statistical techniques, and machine learning when appropriate Develop and test robust portfolio construction, execution, and risk management models Collaborate closely with data engineering and infrastructure teams to enhance research platform capabilities Take … trading firm, or top-tier investment bank Proven track record of alpha generation or contribution to profitable strategies Deep understanding of statistical modeling, time-series analysis, and/or machine learning techniques Strong programming skills in Python, C++, or similar; experience working with large datasets and research infrastructure Master’s or PhD in a quantitative field (e.g., Mathematics More ❯

Design, research, and implement systematic trading strategies across global equities, futures, FX, or other liquid asset classes Conduct high-quality alpha signal research using alternative data, statistical techniques, and machine learning when appropriate Develop and test robust portfolio construction, execution, and risk management models Collaborate closely with data engineering and infrastructure teams to enhance research platform capabilities Take … trading firm, or top-tier investment bank Proven track record of alpha generation or contribution to profitable strategies Deep understanding of statistical modeling, time-series analysis, and/or machine learning techniques Strong programming skills in Python, C++, or similar; experience working with large datasets and research infrastructure Master’s or PhD in a quantitative field (e.g., Mathematics More ❯

Design, research, and implement systematic trading strategies across global equities, futures, FX, or other liquid asset classes Conduct high-quality alpha signal research using alternative data, statistical techniques, and machine learning when appropriate Develop and test robust portfolio construction, execution, and risk management models Collaborate closely with data engineering and infrastructure teams to enhance research platform capabilities Take … trading firm, or top-tier investment bank Proven track record of alpha generation or contribution to profitable strategies Deep understanding of statistical modeling, time-series analysis, and/or machine learning techniques Strong programming skills in Python, C++, or similar; experience working with large datasets and research infrastructure Master’s or PhD in a quantitative field (e.g., Mathematics More ❯

BettingJobs is currently hiring for a Data Scientist based in London for a leading sports betting services company. Responsibilities: Design, build, and maintain statistical or machine learning models to support sports forecasting and pricing across various markets. Extract actionable insights from large-scale sports datasets using sound mathematical and statistical principles. Translate modelling requirements and business objectives into … years working with Python or R in a production or research setting. Strong experience using data wrangling tools (e.g. Pandas, NumPy, dplyr). Solid grasp of statistical modelling and machine learning, with hands-on use of libraries such as scikit-learn, xgboost, PyMC3, TensorFlow. Experience working with SQL and relational databases. Ability to explain model behaviour through visualisations More ❯

firm. This role can be based from either London or Cambridge. Offering excellent training, career progression and prospects, this is a unique opportunity to work for a rapidly expanding machine learning software house and be guided by some of the brightest minds in this field. On a daily basis, you will be working as a Pre-Sales advisor … What this offers Working for an industry-leading software company who have a fantastic track record of successfully hiring and training graduates An exciting opportunity supporting projects on a machine learning platform Joining a fast-growing company where progression opportunities are in abdundance Applications If you have top academics and would like to apply, we would love to More ❯

the end-to-end lifecycle of projects: from identifying opportunities in literature, through proof-of-concept, to real-world production. Your work will sit at the cutting edge of Machine Learning and reasoning systems, with a particular focus on neurosymbolic AI, complex planning, and fully explainable architectures. Why Join Us? Team - You'll join a world-class group … articulating complex ideas clearly to technical and non-technical audiences. Analyse and inspect large-scale datasets to support neural training and symbolic extraction. What We're Looking For: Deep learning expertise with significant industry experience, and c. 2+ years applying it to language generation, including working with Large Language Models, neurosymbolic integration and knowledge representation. Demonstrable experience leading in … influencing others, and delivering high-impact work without direct management responsibilities. Experience mentoring and coaching colleagues, offering guidance on both technical and professional development. Experience with Python and common ML Frameworks like Pytorch, HF Transformers, Tensorflow, JAX. Track record working as an independent contributor capable of end-to-end development with demonstrable experience in utilising and deploying transformer models. Deep More ❯

with advanced AI technologies to create impactful data driven applications. Responsibilities Partner with enterprise clients to understand requirements and design tailored AI and data science solutions Apply statistical modelling, machine learning, and programming expertise to solve complex problems Explore and implement modern AI technologies including large language models, retrieval augmented generation, and advanced automation tools Deliver production ready … technical approaches into clear business outcomes Stay up to date with rapidly evolving AI tools and actively incorporate them into solution design Requirements Strong background in data science and machine learning with solid understanding of statistics and programming Exposure to MLOps and experience deploying models into production environments Interest and practical experience in using emerging AI technologies such … and flexible work environment with a comprehensive benefits package including: 25 days of annual leave plus bank holidays Share options and pension scheme Health and dental insurance options Professional learning and development budget Cycle to work scheme and technology allowance Referral bonus scheme Opportunities to work abroad for limited periods Regular team socials and office perks More ❯

with advanced AI technologies to create impactful data driven applications. Responsibilities Partner with enterprise clients to understand requirements and design tailored AI and data science solutions Apply statistical modelling, machine learning, and programming expertise to solve complex problems Explore and implement modern AI technologies including large language models, retrieval augmented generation, and advanced automation tools Deliver production ready … technical approaches into clear business outcomes Stay up to date with rapidly evolving AI tools and actively incorporate them into solution design Requirements Strong background in data science and machine learning with solid understanding of statistics and programming Exposure to MLOps and experience deploying models into production environments Interest and practical experience in using emerging AI technologies such … and flexible work environment with a comprehensive benefits package including: 25 days of annual leave plus bank holidays Share options and pension scheme Health and dental insurance options Professional learning and development budget Cycle to work scheme and technology allowance Referral bonus scheme Opportunities to work abroad for limited periods Regular team socials and office perks More ❯

with advanced AI technologies to create impactful data driven applications. Responsibilities Partner with enterprise clients to understand requirements and design tailored AI and data science solutions Apply statistical modelling, machine learning, and programming expertise to solve complex problems Explore and implement modern AI technologies including large language models, retrieval augmented generation, and advanced automation tools Deliver production ready … technical approaches into clear business outcomes Stay up to date with rapidly evolving AI tools and actively incorporate them into solution design Requirements Strong background in data science and machine learning with solid understanding of statistics and programming Exposure to MLOps and experience deploying models into production environments Interest and practical experience in using emerging AI technologies such … and flexible work environment with a comprehensive benefits package including: 25 days of annual leave plus bank holidays Share options and pension scheme Health and dental insurance options Professional learning and development budget Cycle to work scheme and technology allowance Referral bonus scheme Opportunities to work abroad for limited periods Regular team socials and office perks More ❯

with advanced AI technologies to create impactful data driven applications. Responsibilities Partner with enterprise clients to understand requirements and design tailored AI and data science solutions Apply statistical modelling, machine learning, and programming expertise to solve complex problems Explore and implement modern AI technologies including large language models, retrieval augmented generation, and advanced automation tools Deliver production ready … technical approaches into clear business outcomes Stay up to date with rapidly evolving AI tools and actively incorporate them into solution design Requirements Strong background in data science and machine learning with solid understanding of statistics and programming Exposure to MLOps and experience deploying models into production environments Interest and practical experience in using emerging AI technologies such … and flexible work environment with a comprehensive benefits package including: 25 days of annual leave plus bank holidays Share options and pension scheme Health and dental insurance options Professional learning and development budget Cycle to work scheme and technology allowance Referral bonus scheme Opportunities to work abroad for limited periods Regular team socials and office perks More ❯

This hybrid role requires 2 days per week on-site and focuses on delivering advanced AI and data science solutions using cutting-edge technologies. Key Responsibilities: Design and implement machine learning models to solve complex business problems. Develop and deploy AI models using Python and Azure. Perform data analysis and build scalable solutions using SQL and other data … science tools. Collaborate with cross-functional teams to integrate AI into enterprise systems. Required Skills: Strong experience in Machine Learning , AI Modelling , and Data Science . Proficiency in Python , SQL , and Azure . Hands-on experience with modern AI and data science technologies. Ability to work in a fast-paced, collaborative environment. What's on Offer: £700/ More ❯

This hybrid role requires 2 days per week on-site and focuses on delivering advanced AI and data science solutions using cutting-edge technologies. Key Responsibilities: Design and implement machine learning models to solve complex business problems. Develop and deploy AI models using Python and Azure. Perform data analysis and build scalable solutions using SQL and other data … science tools. Collaborate with cross-functional teams to integrate AI into enterprise systems. Required Skills: Strong experience in Machine Learning , AI Modelling , and Data Science . Proficiency in Python , SQL , and Azure . Hands-on experience with modern AI and data science technologies. Ability to work in a fast-paced, collaborative environment. What's on Offer: £700/ More ❯

exposure. You will define and deliver products that require deep technical acumen, strong business judgment, and an ability to work across a broad range of stakeholders including software engineering, machine learning, supply chain, and finance teams. Key job responsibilities Key Responsibilities: Own the end-to-end product strategy, roadmap, and execution for key components of the Delivery Experience. … Partner with engineering to build scalable systems that optimize delivery promise, routing, and fulfillment in real-time. Collaborate with scientists and economists to leverage machine learning and causal inference models to improve speed, reduce cost, and manage tradeoffs. Drive customer-centric innovation, using data to deeply understand pain points and craft scalable solutions. Align product vision with long More ❯