1,076 to 1,100 of 4,026 Machine Learning Jobs in England

better understand their market position, optimise marketing spend, and strengthen brand equity through advanced data science techniques. Responsibilities: Responsible for integrating multiple previously disconnected datasets Leveraging advanced techniques in machine learning, natural language processing (NLP), and computer vision Utilise these technologies to uncover novel consumer insights, empowering clients to make data-driven decisions Enhancing understanding of consumer behaviour … a global solution Requirements: MSc in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Experience in Consumer/Marketing Analytics Strong proficiency in Python and experience with relevant ML libraries/frameworks. Please note: This role requires 1–2 days onsite per week onsite in Central London. How to Apply: Please register your interest by sending your CV to More ❯

better understand their market position, optimise marketing spend, and strengthen brand equity through advanced data science techniques. Responsibilities: Responsible for integrating multiple previously disconnected datasets Leveraging advanced techniques in machine learning, natural language processing (NLP), and computer vision Utilise these technologies to uncover novel consumer insights, empowering clients to make data-driven decisions Enhancing understanding of consumer behaviour … a global solution Requirements: MSc in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Experience in Consumer/Marketing Analytics Strong proficiency in Python and experience with relevant ML libraries/frameworks. Please note: This role requires 1–2 days onsite per week onsite in Central London. How to Apply: Please register your interest by sending your CV to More ❯

better understand their market position, optimise marketing spend, and strengthen brand equity through advanced data science techniques. Responsibilities: Responsible for integrating multiple previously disconnected datasets Leveraging advanced techniques in machine learning, natural language processing (NLP), and computer vision Utilise these technologies to uncover novel consumer insights, empowering clients to make data-driven decisions Enhancing understanding of consumer behaviour … a global solution Requirements: MSc in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Experience in Consumer/Marketing Analytics Strong proficiency in Python and experience with relevant ML libraries/frameworks. Please note: This role requires 1–2 days onsite per week onsite in Central London. How to Apply: Please register your interest by sending your CV to More ❯

better understand their market position, optimise marketing spend, and strengthen brand equity through advanced data science techniques. Responsibilities: Responsible for integrating multiple previously disconnected datasets Leveraging advanced techniques in machine learning, natural language processing (NLP), and computer vision Utilise these technologies to uncover novel consumer insights, empowering clients to make data-driven decisions Enhancing understanding of consumer behaviour … a global solution Requirements: MSc in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Experience in Consumer/Marketing Analytics Strong proficiency in Python and experience with relevant ML libraries/frameworks. Please note: This role requires 1–2 days onsite per week onsite in Central London. How to Apply: Please register your interest by sending your CV to More ❯

We now have an opportunity for a Senior/Data Analysis Scientist to join the Soft Condensed Matter (SCM) group, dedicated to the application of machine learning (ML) and/or Artificial Intelligence (AI) requirements of the SCM beamlines and instruments. Key specific projects to be covered by this post concern the implementation of ML/AI for … X-ray synchrotron radiation research. The successful candidate will work alongside scientists on the beamlines and instruments, plus DLS engineers and staff across scientific computing, to develop and maintain ML/AI software specifically for SCM beamlines (and possibly collaborating with eBIC), including real time optimization, data visualisation and automated analysis workflows for current research, simulations of instruments, and also … preferably MATLAB. Experience of working with large and complex code bases would be a distinct advantage, as a requirement would be significant and demonstrated skills by the applicant in ML and/or AI applications in scientific equipment and/or image/signal analysis (essential for senior role). Knowledge and experience of developing software to control and monitor More ❯

better understand their market position, optimise marketing spend, and strengthen brand equity through advanced data science techniques. Responsibilities: Responsible for integrating multiple previously disconnected datasets Leveraging advanced techniques in machine learning, natural language processing (NLP), and computer vision Utilise these technologies to uncover novel consumer insights, empowering clients to make data-driven decisions Enhancing understanding of consumer behaviour … a global solution Requirements: MSc in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Experience in Consumer/Marketing Analytics Strong proficiency in Python and experience with relevant ML libraries/frameworks. Please note: This role requires 1–2 days onsite per week onsite in Central London. How to Apply: Please register your interest by sending your CV to More ❯

partnered with an AI company founded by serial entrepreneurs and ex-Lyft, Google, and Zoox engineers, a team with serious technical pedigree across robotics, computer vision, and large-scale ML systems. They’ve built one of the most advanced AI-driven video intelligence platforms on the market, used by hospitals, schools, logistics firms, and enterprises globally, turning static video into … and delivering truly intuitive interfaces that bring AI to life. You’ll join a tight-knit, elite engineering team (ex-Stanford, Oxford, Cornell) solving problems at the intersection of machine learning, UX, and infrastructure, where every release directly impacts how businesses use AI in the real world. 💡 Why it’s worth your time: Full ownership of the front More ❯

partnered with an AI company founded by serial entrepreneurs and ex-Lyft, Google, and Zoox engineers, a team with serious technical pedigree across robotics, computer vision, and large-scale ML systems. They’ve built one of the most advanced AI-driven video intelligence platforms on the market, used by hospitals, schools, logistics firms, and enterprises globally, turning static video into … and delivering truly intuitive interfaces that bring AI to life. You’ll join a tight-knit, elite engineering team (ex-Stanford, Oxford, Cornell) solving problems at the intersection of machine learning, UX, and infrastructure, where every release directly impacts how businesses use AI in the real world. 💡 Why it’s worth your time: Full ownership of the front More ❯

partnered with an AI company founded by serial entrepreneurs and ex-Lyft, Google, and Zoox engineers, a team with serious technical pedigree across robotics, computer vision, and large-scale ML systems. They've built one of the most advanced AI-driven video intelligence platforms on the market, used by hospitals, schools, logistics firms, and enterprises globally, turning static video into … and delivering truly intuitive interfaces that bring AI to life. You'll join a tight-knit, elite engineering team (ex-Stanford, Oxford, Cornell) solving problems at the intersection of machine learning, UX, and infrastructure, where every release directly impacts how businesses use AI in the real world. Why it's worth your time: Full ownership of the front More ❯

partnered with an AI company founded by serial entrepreneurs and ex-Lyft, Google, and Zoox engineers, a team with serious technical pedigree across robotics, computer vision, and large-scale ML systems. They’ve built one of the most advanced AI-driven video intelligence platforms on the market, used by hospitals, schools, logistics firms, and enterprises globally, turning static video into … and delivering truly intuitive interfaces that bring AI to life. You’ll join a tight-knit, elite engineering team (ex-Stanford, Oxford, Cornell) solving problems at the intersection of machine learning, UX, and infrastructure, where every release directly impacts how businesses use AI in the real world. 💡 Why it’s worth your time: Full ownership of the front More ❯

partnered with an AI company founded by serial entrepreneurs and ex-Lyft, Google, and Zoox engineers, a team with serious technical pedigree across robotics, computer vision, and large-scale ML systems. They’ve built one of the most advanced AI-driven video intelligence platforms on the market, used by hospitals, schools, logistics firms, and enterprises globally, turning static video into … and delivering truly intuitive interfaces that bring AI to life. You’ll join a tight-knit, elite engineering team (ex-Stanford, Oxford, Cornell) solving problems at the intersection of machine learning, UX, and infrastructure, where every release directly impacts how businesses use AI in the real world. 💡 Why it’s worth your time: Full ownership of the front More ❯

in a related role. Experience in technology architecture, enterprise architecture. Experience in AI/GenAI product management and technology system life-cycle management. In-depth understanding of AI and machine learning concepts, algorithms and techniques, and AI/GenAI lifecycle. In-depth understanding of technical and system architecture, leading development of conceptual design and working with technical teams … control frameworks (e.g. COBIT, NIST, Cybersecurity Framework). Knowledge of MLOps principles and practices, including model deployment, monitoring, explainability, and lifecycle management. Familiarity with leading cloud-based AI/ML platforms and their associated governance, security, and deployment best practices. Understanding of security vulnerabilities and risks specific to AI/ML systems, including adversarial attacks and data privacy considerations. Familiarity More ❯

implementation and adoption. Work closely with data scientists, engineers, and business stakeholders to define AI use cases, project scope, and measurable success criteria. Oversee delivery of initiatives such as machine learning model deployment, process automation, chatbots, or predictive analytics solutions. Ensure project governance, reporting, and documentation align with internal frameworks and regulatory standards. Manage risks, issues, and dependencies … AI, data, or automation-driven projects within financial services or another highly regulated environment. Strong understanding of technology-enabled change, particularly involving data platforms, analytics, or automation tools (e.g. ML, NLP, RPA, GenAI). Excellent stakeholder management and communication skills, with the ability to influence at senior and executive levels. Strong project planning, governance, and risk management skills across both More ❯

implementation and adoption. Work closely with data scientists, engineers, and business stakeholders to define AI use cases, project scope, and measurable success criteria. Oversee delivery of initiatives such as machine learning model deployment, process automation, chatbots, or predictive analytics solutions. Ensure project governance, reporting, and documentation align with internal frameworks and regulatory standards. Manage risks, issues, and dependencies … AI, data, or automation-driven projects within financial services or another highly regulated environment. Strong understanding of technology-enabled change, particularly involving data platforms, analytics, or automation tools (e.g. ML, NLP, RPA, GenAI). Excellent stakeholder management and communication skills, with the ability to influence at senior and executive levels. Strong project planning, governance, and risk management skills across both More ❯

implementation and adoption. Work closely with data scientists, engineers, and business stakeholders to define AI use cases, project scope, and measurable success criteria. Oversee delivery of initiatives such as machine learning model deployment, process automation, chatbots, or predictive analytics solutions. Ensure project governance, reporting, and documentation align with internal frameworks and regulatory standards. Manage risks, issues, and dependencies … AI, data, or automation-driven projects within financial services or another highly regulated environment. Strong understanding of technology-enabled change, particularly involving data platforms, analytics, or automation tools (e.g. ML, NLP, RPA, GenAI). Excellent stakeholder management and communication skills, with the ability to influence at senior and executive levels. Strong project planning, governance, and risk management skills across both More ❯

very established Data division headed up by well-regarded CDO who comes from a ‘hands on’ Data Science background. The Data Unit is filled with experienced Data Scientists, Analyst, Machine Learning Engineers, LLM specialists, and Data Engineers. Given the quality of the team involved, instant exposure to more technical projects and colleagues, and the excellent working environment that … around for too long! Responsibilities Work with senior colleagues and internal stakeholders to spot business opportunities to leverage data science techniques and add business value. Build relevant statistical/machine learning models related to said projects. Communicate findings effectively to stakeholders to encourage adoption. Find brilliant new ways of tackling their problems - innovation will be a key part … of the job. Requirements A relatable STEM/Computer Science degree (ideally MSc and above but all backgrounds considered). Commercial Data Science experiemcn Excellent Python & SQL skills. Strong Machine Learning & Statistical knowledge Ideally LLMS/GenAI experience. Spark and/or Databricks experience would be a lovely bonus. If this role interests you and you would like More ❯

Data Scientist, you will play a critical role in developing and executing the company's research agenda, focusing on experimental and hypothesis-driven approaches. You'll leverage advanced analytics, machine learning, and AI techniques to solve complex industry problems and contribute to the creation of innovative solutions. Key Responsibilities: Hypothesis Development & Testing: Formulate testable hypotheses, design rigorous methodologies … and develop simulation environments to validate ideas and inform commercial decisions. Model Development & Implementation: Build and deploy advanced analytical models, machine learning algorithms, and AI solutions to address complex business challenges. Data Analysis & Insights: Conduct in-depth data analysis to identify trends, patterns, and opportunities for innovation. Collaboration: Work closely with data engineers, data analysts, and business stakeholders … research findings and measure the impact of new solutions. Documentation & Communication: Clearly document research methodologies, findings, and recommendations, and communicate effectively to both technical and non-technical audiences. Continuous Learning: Stay up-to-date with the latest advancements in data science, machine learning, and AI, and contribute to the continuous improvement of research methodologies and tools. Ideal More ❯

Data Scientist, you will play a critical role in developing and executing the company's research agenda, focusing on experimental and hypothesis-driven approaches. You'll leverage advanced analytics, machine learning, and AI techniques to solve complex industry problems and contribute to the creation of innovative solutions. Key Responsibilities: Hypothesis Development & Testing: Formulate testable hypotheses, design rigorous methodologies … and develop simulation environments to validate ideas and inform commercial decisions. Model Development & Implementation: Build and deploy advanced analytical models, machine learning algorithms, and AI solutions to address complex business challenges. Data Analysis & Insights: Conduct in-depth data analysis to identify trends, patterns, and opportunities for innovation. Collaboration: Work closely with data engineers, data analysts, and business stakeholders … research findings and measure the impact of new solutions. Documentation & Communication: Clearly document research methodologies, findings, and recommendations, and communicate effectively to both technical and non-technical audiences. Continuous Learning: Stay up-to-date with the latest advancements in data science, machine learning, and AI, and contribute to the continuous improvement of research methodologies and tools. Ideal More ❯

Data Scientist, you will play a critical role in developing and executing the company's research agenda, focusing on experimental and hypothesis-driven approaches. You'll leverage advanced analytics, machine learning, and AI techniques to solve complex industry problems and contribute to the creation of innovative solutions. Key Responsibilities: Hypothesis Development & Testing: Formulate testable hypotheses, design rigorous methodologies … and develop simulation environments to validate ideas and inform commercial decisions. Model Development & Implementation: Build and deploy advanced analytical models, machine learning algorithms, and AI solutions to address complex business challenges. Data Analysis & Insights: Conduct in-depth data analysis to identify trends, patterns, and opportunities for innovation. Collaboration: Work closely with data engineers, data analysts, and business stakeholders … research findings and measure the impact of new solutions. Documentation & Communication: Clearly document research methodologies, findings, and recommendations, and communicate effectively to both technical and non-technical audiences. Continuous Learning: Stay up-to-date with the latest advancements in data science, machine learning, and AI, and contribute to the continuous improvement of research methodologies and tools. Ideal More ❯

Data Scientist, you will play a critical role in developing and executing the company's research agenda, focusing on experimental and hypothesis-driven approaches. You'll leverage advanced analytics, machine learning, and AI techniques to solve complex industry problems and contribute to the creation of innovative solutions. Key Responsibilities: Hypothesis Development & Testing: Formulate testable hypotheses, design rigorous methodologies … and develop simulation environments to validate ideas and inform commercial decisions. Model Development & Implementation: Build and deploy advanced analytical models, machine learning algorithms, and AI solutions to address complex business challenges. Data Analysis & Insights: Conduct in-depth data analysis to identify trends, patterns, and opportunities for innovation. Collaboration: Work closely with data engineers, data analysts, and business stakeholders … research findings and measure the impact of new solutions. Documentation & Communication: Clearly document research methodologies, findings, and recommendations, and communicate effectively to both technical and non-technical audiences. Continuous Learning: Stay up-to-date with the latest advancements in data science, machine learning, and AI, and contribute to the continuous improvement of research methodologies and tools. Ideal More ❯

pilot activities, or factory trials. Compensation is competitive, and additional allowances apply for any agreed on-site participation. Key Responsibilities • Conduct research and hands-on development in data mining, machine learning, and applied modeling. • Own the model lifecycle: data preparation, training, evaluation, deployment, and monitoring. • Work with data engineering to ensure data quality, reliability, and efficient pipelines. • Deliver … Computer Science, Electrical/Electronic Engineering, Applied Mathematics, AI/Data Science, IT (or related field), or equivalent industry experience. • Ideally 3+ years of relevant experience in AI/ML, computer vision, recommendation/optimization, or advanced analytics (industry or research). • Proficient in Python; familiarity with data pipelines (e.g., Spark) and modern development practices. • Foundations in mathematics and algorithm More ❯

pilot activities, or factory trials. Compensation is competitive, and additional allowances apply for any agreed on-site participation. Key Responsibilities • Conduct research and hands-on development in data mining, machine learning, and applied modeling. • Own the model lifecycle: data preparation, training, evaluation, deployment, and monitoring. • Work with data engineering to ensure data quality, reliability, and efficient pipelines. • Deliver … Computer Science, Electrical/Electronic Engineering, Applied Mathematics, AI/Data Science, IT (or related field), or equivalent industry experience. • Ideally 3+ years of relevant experience in AI/ML, computer vision, recommendation/optimization, or advanced analytics (industry or research). • Proficient in Python; familiarity with data pipelines (e.g., Spark) and modern development practices. • Foundations in mathematics and algorithm More ❯

databases, ensuring data quality, integrity, and security. AI Integration in Healthcare: Assist in the development and implementation of AI solutions tailored to healthcare challenges. Collaborate with data scientists and machine learning engineers to deploy models into production environments. Utilize genomics, clinical, and administrative data to derive actionable insights and recommendations. Research and Innovation: Stay abreast of the latest … data engineering, including experience with ETL processes, data modeling, and database management, as well as SQL. Knowledge of healthcare industry standards, regulations, and data interoperability. Familiarity with AI and machine learning concepts, and a willingness to learn and apply them in a healthcare context. At least 6 Months experience working with Gen AI. Excellent communication and interpersonal skills. More ❯

databases, ensuring data quality, integrity, and security. AI Integration in Healthcare: Assist in the development and implementation of AI solutions tailored to healthcare challenges. Collaborate with data scientists and machine learning engineers to deploy models into production environments. Utilize genomics, clinical, and administrative data to derive actionable insights and recommendations. Research and Innovation: Stay abreast of the latest … data engineering, including experience with ETL processes, data modeling, and database management, as well as SQL. Knowledge of healthcare industry standards, regulations, and data interoperability. Familiarity with AI and machine learning concepts, and a willingness to learn and apply them in a healthcare context. At least 6 Months experience working with Gen AI. Excellent communication and interpersonal skills. More ❯

databases, ensuring data quality, integrity, and security. AI Integration in Healthcare: Assist in the development and implementation of AI solutions tailored to healthcare challenges. Collaborate with data scientists and machine learning engineers to deploy models into production environments. Utilize genomics, clinical, and administrative data to derive actionable insights and recommendations. Research and Innovation: Stay abreast of the latest … data engineering, including experience with ETL processes, data modeling, and database management, as well as SQL. Knowledge of healthcare industry standards, regulations, and data interoperability. Familiarity with AI and machine learning concepts, and a willingness to learn and apply them in a healthcare context. At least 6 Months experience working with Gen AI. Excellent communication and interpersonal skills. More ❯