51 to 75 of 327 Machine Learning Jobs in Central London

and building data processing and streaming systems Leading initiatives on data storage, optimisation, and database management Applying statistical methods, hypothesis testing, and model validation Developing and evaluating AI/ML models to deliver actionable insights Collaborating with engineering teams to maintain data quality and scalability Communicating technical concepts effectively to non-technical stakeholders Visualising complex data through dashboards and reporting … data science practices About You 3+ years of experience with data scripting languages (e.g., Python, SQL) 2+ years in a Data Scientist role with proven experience in AI/ML Strong academic background in a quantitative discipline (Statistics, Mathematics, Computer Science, etc.) Experience in data extraction, manipulation, and analysis from multiple sources Proficiency in modern programming practices and collaborative coding … in multidisciplinary teams What’s on Offer? A chance to join a pioneering company at the forefront of data science and predictive analytics Exposure to cutting-edge AI/ML technologies and tools A collaborative and innovative culture focused on continuous learning Competitive salary and benefits package If you are passionate about data science and want to play a More ❯

and translating data into clear, actionable insights. You’ll work across advanced market research techniques, segmentation, max diff, conjoint, pricing, Turf etc within a collaborative team that values curiosity, learning and innovation. What you'll be doing: Leading end-to-end data science projects, primarily using survey data Translating business questions into analytical solutions with practical impact Mentoring junior … analysts and supporting team learning and development Presenting findings to clients and internal stakeholders in a clear and engaging way Exploring new approaches, including machine learning and AI Collaborating with colleagues across disciplines to design the right solutions What we’re looking for: At least 3 to 5 years of experience in data science, with a strong … focus on survey data Professional-level proficiency in Python or R Strong understanding of statistical and machine learning methods such as clustering and regression Hands-on experience with segmentation and preferably conjoint analysis Ability to communicate complex methods and results in plain English Experience leading projects and building relationships internally and externally A collaborative, proactive approach to solving More ❯

and translating data into clear, actionable insights. You’ll work across advanced market research techniques, segmentation, max diff, conjoint, pricing, Turf etc within a collaborative team that values curiosity, learning and innovation. What you'll be doing: Leading end-to-end data science projects, primarily using survey data Translating business questions into analytical solutions with practical impact Mentoring junior … analysts and supporting team learning and development Presenting findings to clients and internal stakeholders in a clear and engaging way Exploring new approaches, including machine learning and AI Collaborating with colleagues across disciplines to design the right solutions What we’re looking for: At least 3 to 5 years of experience in data science, with a strong … focus on survey data Professional-level proficiency in Python or R Strong understanding of statistical and machine learning methods such as clustering and regression Hands-on experience with segmentation and preferably conjoint analysis Ability to communicate complex methods and results in plain English Experience leading projects and building relationships internally and externally A collaborative, proactive approach to solving More ❯

company that’s helping major consumer brands turn first-party data into real commercial value. As a Senior Data Scientist, you’ll own the end-to-end delivery of machine learning models that drive revenue growth, improve customer retention, and optimise decision-making. You’ll work on high-impact challenges like forecasting, churn prediction, customer segmentation, and commercial … code quality Mentor junior data scientists and support the growth of the team We’re looking for someone with: 3–5 years’ experience in a Data Science, AI, or ML-related role Experience with forecasting, propensity and segmentation Strong Python skills and experience with libraries like scikit-learn, pandas, and Prophet Hands-on experience developing and deploying ML models in … production A track record of working across the full ML lifecycle in a fast-paced environment Excellent communication and storytelling skills—able to explain models and outcomes clearly If this role looks of interest, please reach out. This role cannot offer sponsorship. More ❯

machine learning solutions, and advanced statistical analyses Executing end-to-end data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and ML techniques to identify insights from millions of behavioural data points Working closely with product and business teams to translate findings into actionable outcomes Measuring and improving platform and product performance … Looking For: 3–7 years’ experience in a Data Scientist or applied analytics role Proficiency in SQL and strong programming skills (Python, R, or similar) Hands-on experience with machine learning, predictive modelling, regression, hypothesis testing, and time-series analysis Ability to manage and deliver data projects independently as well as part of a team Strong communication skills More ❯

machine learning solutions, and advanced statistical analyses Executing end-to-end data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and ML techniques to identify insights from millions of behavioural data points Working closely with product and business teams to translate findings into actionable outcomes Measuring and improving platform and product performance … Looking For: 3–7 years’ experience in a Data Scientist or applied analytics role Proficiency in SQL and strong programming skills (Python, R, or similar) Hands-on experience with machine learning, predictive modelling, regression, hypothesis testing, and time-series analysis Ability to manage and deliver data projects independently as well as part of a team Strong communication skills More ❯

Responsibilities: Analyse complex datasets: Work with large volumes of financial data to identify trends, patterns, and insights that drive strategic decisions. Support predictive modeling: Collaborate on the development of machine learning models to forecast financial outcomes and optimise business processes. Develop data-driven solutions: Create algorithms and tools that automate and enhance decision-making across the company. Collaborate … Preferred disciplines include Statistics, Mathematics, Computer Science, Engineering, or related fields. Proficiency in programming languages: Experience with Python and SQL for data analysis, manipulation, and modeling. Basic understanding of machine learning: Familiarity with predictive modeling techniques and algorithms, in particular NLP, LLM's and Time Series Forecasting. Experience with data visualisation tools: Knowledge of tools like Tableau/… A Bonus If You Have: Experience in finance: Prior exposure to financial data or working in a financial services environment is a plus. Curiosity and drive: A passion for learning and staying updated with the latest trends in data science and finance. Problem-solving mindset: Ability to think critically and approach challenges with innovative solutions. The Benefits: Growth opportunities More ❯

Responsibilities: Analyse complex datasets: Work with large volumes of financial data to identify trends, patterns, and insights that drive strategic decisions. Support predictive modeling: Collaborate on the development of machine learning models to forecast financial outcomes and optimise business processes. Develop data-driven solutions: Create algorithms and tools that automate and enhance decision-making across the company. Collaborate … Preferred disciplines include Statistics, Mathematics, Computer Science, Engineering, or related fields. Proficiency in programming languages: Experience with Python and SQL for data analysis, manipulation, and modeling. Basic understanding of machine learning: Familiarity with predictive modeling techniques and algorithms, in particular NLP, LLM's and Time Series Forecasting. Experience with data visualisation tools: Knowledge of tools like Tableau/… A Bonus If You Have: Experience in finance: Prior exposure to financial data or working in a financial services environment is a plus. Curiosity and drive: A passion for learning and staying updated with the latest trends in data science and finance. Problem-solving mindset: Ability to think critically and approach challenges with innovative solutions. The Benefits: Growth opportunities More ❯

learning and forecasting libraries. Work with product and data science management to develop key results for given product objectives. Establish scalable and efficient practices for data mining, ML model development, validation and inference. Building demand forecasting models Stay up-to-date on the most recent advances in AI and machine learning Requirements: MSc Degree in Computer More ❯

will be joining an organisation 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 a great opportunity for someone … their career - I.e. Someone at 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, code reviews, and architecture decisions. … We’re Looking For MSc/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 business acumen, communication skills, and More ❯

partners directly with portfolio companies to drive measurable operational and financial performance—powered by data. They’re now hiring a Principal Data Scientist to lead high-impact analytics and machine learning projects across a wide variety of real-world domains - from manufacturing to customer experience and commercial optimisation. Working closely with a multidisciplinary team, you’ll have the … problems into measurable data science solutions that deliver commercial value Lead the design, development, and deployment of predictive and optimisation models across multiple industries Own the end-to-end ML pipeline: data exploration, feature engineering, modelling, evaluation, and deployment Collaborate with data engineers and MLOps professionals to ensure scalable, production-grade solutions Conduct rigorous A/B testing and performance … design choices Communicate findings and strategic insights to both technical and non-technical stakeholders About You You’re an experienced data scientist with a proven track record of using machine learning to solve real-world business challenges. You’re just as comfortable in Python as you are in a boardroom, and you’re motivated by measurable impact, not More ❯

ownership of a high-impact data platform initiative. Influence cross-functional teams and senior stakeholders. Drive innovation in data architecture, governance, and analytics. Collaborate with data scientists to deploy machine learning models. Gain visibility across multiple business units and sectors. Key responsibilities: Lead the design and implementation of scalable, secure data pipelines and architectures. Define and enforce best … Formation. Strong proficiency in Python and SQL. Proven leadership in data engineering strategy and execution. Deep understanding of market data and its business applications. Experience with Databricks, Snowflake, and machine learning integration is a plus. The ideal candidate: A strategic thinker with a track record of delivering enterprise-scale data solutions. A collaborative leader who energises and inspires More ❯

on streamlining and improving performance by reimagining value creation capabilities. They are utilising cutting-edge AI to generate performance insights on each aspect of the investment lifecycle. Responsibilities: Build machine learning predictive models to anticipate/avoid asset downtime … and reducing customer churn Evaluate and optimise all models, identifying areas for development Work end-to-end both building and deploying models Stay updated with the latest developments in ML/AI, and related fields to keep the company at the forefront of technological advancements Stay updated on emerging technologies, trends, to recommend and implement innovative solutions that drive business … effectively in a fast-paced, collaborative environment. How to Apply: Please register your interest by sending your CV to Emily Burgess via the Apply link on this page. Keywords: Machine Learning, Data Science, start-up, Investment, Equity More ❯

investing through innovative data solutions. Key Responsibilities: Data Ingestion & Cleansing: Develop pipelines to integrate and clean large, complex datasets (commodities, equities, alternative data). Data Analysis: Apply statistical and machine learning techniques to uncover actionable insights for investment strategies. Data Infrastructure: Maintain and optimise automated systems for data collection, storage, and retrieval to support the research process. Collaborate … complex concepts to both technical and non-technical stakeholders Preferred Qualifications: Experience in financial services (e.g., brokerage, asset management, or banking) or a strong macroeconomic research background Familiarity with machine learning, NLP, and large language models (LLMs) Knowledge of various datasets (e.g., earnings, filings, credit card, CCTV) Master’s degree in a relevant field is a plus Location More ❯

investing through innovative data solutions. Key Responsibilities: Data Ingestion & Cleansing: Develop pipelines to integrate and clean large, complex datasets (commodities, equities, alternative data). Data Analysis: Apply statistical and machine learning techniques to uncover actionable insights for investment strategies. Data Infrastructure: Maintain and optimise automated systems for data collection, storage, and retrieval to support the research process. Collaborate … complex concepts to both technical and non-technical stakeholders Preferred Qualifications: Experience in financial services (e.g., brokerage, asset management, or banking) or a strong macroeconomic research background Familiarity with machine learning, NLP, and large language models (LLMs) Knowledge of various datasets (e.g., earnings, filings, credit card, CCTV) Master’s degree in a relevant field is a plus Location More ❯

a very much hands on role, the ideal candidate will have a logical thought process enabling you to grasp the complex logic of clients workflow which leverages Data Science, Machine Learning and AI. Skills Typescript expert with AWS NodeJS Computer Science Role You join an existing software team reporting to the Chief Technology Officer. Working on a world … class AWS event driven design that delivers high performing Artificial Intelligence and Machine Learning services. This will be a challenging and varied … position developing new features and APIs, performance optimisation, CICD and test suite improvement, updating core software and infrastructure libraries used across many client services, supporting Data Science and deploying ML systems. More ❯

You’ll collaborate with cross-functional teams to design, build, and implement data science solutions that directly feed into core product offerings. This is an exciting opportunity to apply ML and statistical techniques to real-world problems, while also developing in areas such as software engineering, data pipelines, and ethical product delivery. Key Responsibilities Collaborate with product teams to identify … opportunities for ML and data science integration Build and maintain data pipelines to support experimentation and model development Develop and deploy machine learning models in production environments Present insights and results to technical and non-technical stakeholders Apply statistical methods and model validation techniques to reach accurate conclusions Work with data engineers to ensure clean, usable datasets Contribute … research new methods, and continually build your technical capability What We’re Looking For Proficiency in Python or similar languages for scripting and model building Hands-on experience with machine learning, model deployment, and performance evaluation Strong communication skills – able to simplify complex ideas for various audiences Awareness of Agile methodologies and collaborative software development practices A self More ❯

and diverse analytics projects, collaborating closely with range of clients and stakeholders across the business, advising on best analytical approaches to guide your clients’ decisions. With strong data analysis, machine learning and statistical modelling expertise you will lead projects across multiple sectors including technology, financial services, public sector, retail, utilities and more. You will be able to showcase …/or Python . Expertise with analysis of survey data and undertaking segmentation and conjoint analysis expertise is essential. Experience of survey analytics such as MaxDiff, TURF; knowledge of machine learning methods, text analytics or organisational analytics would also be advantageous. Offering a forward thinking, dynamic work environment that encourages an entrepreneurial thinking, this is a fantastic opportunity More ❯

and diverse analytics projects, collaborating closely with range of clients and stakeholders across the business, advising on best analytical approaches to guide your clients’ decisions. With strong data analysis, machine learning and statistical modelling expertise you will lead projects across multiple sectors including technology, financial services, public sector, retail, utilities and more. You will be able to showcase …/or Python . Expertise with analysis of survey data and undertaking segmentation and conjoint analysis expertise is essential. Experience of survey analytics such as MaxDiff, TURF; knowledge of machine learning methods, text analytics or organisational analytics would also be advantageous. Offering a forward thinking, dynamic work environment that encourages an entrepreneurial thinking, this is a fantastic opportunity More ❯

and deep understanding of Data Science and Analytics will be key in uncovering valuable insights to guide clients' decisions. You'll rely on your solid skills in data analysis, machine learning, and statistical modelling to lead smaller projects and contribute to larger ones. Moving beyond purely technical work, you'll start to manage people and lead analytics initiatives. … Throughout, you’ll keep growing your expertise, learning new techniques, and pushing the boundaries of what data can tell us. You will: run a range of key standard methodologies and execute them with little supervision; align client business problems into analytical solutions; lead data science projects with your manager’s supervision; conduct research to identify new opportunities for data … in current affairs and politics; You have experience or knowledge of standard survey analytics such as MaxDiff, TURF, Key Drivers Analysis; You have experience or knowledge of Bayesian methods, machine learning methods, text analytics; You have experience or knowledge of analysing client’s CRM data; You have experience or knowledge of organisational or financial analytics; You are able More ❯

and deep understanding of Data Science and Analytics will be key in uncovering valuable insights to guide clients' decisions. You'll rely on your solid skills in data analysis, machine learning, and statistical modelling to lead smaller projects and contribute to larger ones. Moving beyond purely technical work, you'll start to manage people and lead analytics initiatives. … Throughout, you’ll keep growing your expertise, learning new techniques, and pushing the boundaries of what data can tell us. You will: run a range of key standard methodologies and execute them with little supervision; align client business problems into analytical solutions; lead data science projects with your manager’s supervision; conduct research to identify new opportunities for data … in current affairs and politics; You have experience or knowledge of standard survey analytics such as MaxDiff, TURF, Key Drivers Analysis; You have experience or knowledge of Bayesian methods, machine learning methods, text analytics; You have experience or knowledge of analysing client’s CRM data; You have experience or knowledge of organisational or financial analytics; You are able More ❯

specialises 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 ❯

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 ❯

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 ❯