151 to 175 of 3,059 Machine Learning Jobs in England

ASAP About the Opportunity: We are seeking an ambitious and intellectually curious Junior AI Engineer to join a dynamic, fast-growing team working at the forefront of artificial intelligence, machine learning, and cloud-native applications. This is an excellent opportunity for a recent Master’s graduate eager to apply their academic and project experience to developing and deploying … scientists, and cloud specialists to transform ideas into production-ready applications that drive automation, optimisation, and intelligence across multiple industries. What You’ll Be Doing: Designing, developing, and deploying machine learning and AI models Designing, developing, and deploying LLM applications (e.g. GPT, LLaMA, Claude) integrated with RAG pipelines Implementing end-to-end workflows: from data acquisition, cleaning, and … and APIs for AI services in cloud environments (AWS, Azure, or GCP) Collaborating with engineers, product teams, and data specialists to deliver robust, production-ready solutions Applying AI and ML techniques to solve practical challenges in automation, analytics, and decision support Contributing to internal R&D and staying current with advancements in AI and machine learning What We More ❯

ASAP About the Opportunity: We are seeking an ambitious and intellectually curious Junior AI Engineer to join a dynamic, fast-growing team working at the forefront of artificial intelligence, machine learning, and cloud-native applications. This is an excellent opportunity for a recent Master’s graduate eager to apply their academic and project experience to developing and deploying … scientists, and cloud specialists to transform ideas into production-ready applications that drive automation, optimisation, and intelligence across multiple industries. What You’ll Be Doing: Designing, developing, and deploying machine learning and AI models Designing, developing, and deploying LLM applications (e.g. GPT, LLaMA, Claude) integrated with RAG pipelines Implementing end-to-end workflows: from data acquisition, cleaning, and … and APIs for AI services in cloud environments (AWS, Azure, or GCP) Collaborating with engineers, product teams, and data specialists to deliver robust, production-ready solutions Applying AI and ML techniques to solve practical challenges in automation, analytics, and decision support Contributing to internal R&D and staying current with advancements in AI and machine learning What We More ❯

in feature engineering, model evaluation, and inference pipelines to help shape the future of our product offerings Lead data labeling at scale to produce ground-truth datasets and use ML techniques to maximise labelling efficiency Act as a subject matter expert in Analytics: Strong understanding of statistics, experimental design, and hypothesis testing to identify trends and patterns, and develop predictive … a strong plus. Bring experience or gain knowledge to act as a subject matter expert in fraud detection, creditworthiness assessment, and optimising transaction approval rates using advanced DS/ML techniques is a strong plus. Experience Required skills Hands-on experience building and deploying ML models in Python SQL skills and familiarity with AWS for deployment and data workflows. Strong … knowledge of statistical modelling, anomaly detection, clustering, and supervised/unsupervised learning Experience working with large-scale data Proven success collaborating with product and engineering teams to ship ML-based features and tools Strong communication skills and business acumen to present complex technical ideas to non-technical stakeholders Curious, proactive, and comfortable working in ambiguity in a scaling startup More ❯

in feature engineering, model evaluation, and inference pipelines to help shape the future of our product offerings Lead data labeling at scale to produce ground-truth datasets and use ML techniques to maximise labelling efficiency Act as a subject matter expert in Analytics: Strong understanding of statistics, experimental design, and hypothesis testing to identify trends and patterns, and develop predictive … a strong plus. Bring experience or gain knowledge to act as a subject matter expert in fraud detection, creditworthiness assessment, and optimising transaction approval rates using advanced DS/ML techniques is a strong plus. Experience Required skills Hands-on experience building and deploying ML models in Python SQL skills and familiarity with AWS for deployment and data workflows. Strong … knowledge of statistical modelling, anomaly detection, clustering, and supervised/unsupervised learning Experience working with large-scale data Proven success collaborating with product and engineering teams to ship ML-based features and tools Strong communication skills and business acumen to present complex technical ideas to non-technical stakeholders Curious, proactive, and comfortable working in ambiguity in a scaling startup More ❯

in feature engineering, model evaluation, and inference pipelines to help shape the future of our product offerings Lead data labeling at scale to produce ground-truth datasets and use ML techniques to maximise labelling efficiency Act as a subject matter expert in Analytics: Strong understanding of statistics, experimental design, and hypothesis testing to identify trends and patterns, and develop predictive … a strong plus. Bring experience or gain knowledge to act as a subject matter expert in fraud detection, creditworthiness assessment, and optimising transaction approval rates using advanced DS/ML techniques is a strong plus. Experience Required skills Hands-on experience building and deploying ML models in Python SQL skills and familiarity with AWS for deployment and data workflows. Strong … knowledge of statistical modelling, anomaly detection, clustering, and supervised/unsupervised learning Experience working with large-scale data Proven success collaborating with product and engineering teams to ship ML-based features and tools Strong communication skills and business acumen to present complex technical ideas to non-technical stakeholders Curious, proactive, and comfortable working in ambiguity in a scaling startup More ❯

in feature engineering, model evaluation, and inference pipelines to help shape the future of our product offerings Lead data labeling at scale to produce ground-truth datasets and use ML techniques to maximise labelling efficiency Act as a subject matter expert in Analytics: Strong understanding of statistics, experimental design, and hypothesis testing to identify trends and patterns, and develop predictive … a strong plus. Bring experience or gain knowledge to act as a subject matter expert in fraud detection, creditworthiness assessment, and optimising transaction approval rates using advanced DS/ML techniques is a strong plus. Experience Required skills Hands-on experience building and deploying ML models in Python SQL skills and familiarity with AWS for deployment and data workflows. Strong … knowledge of statistical modelling, anomaly detection, clustering, and supervised/unsupervised learning Experience working with large-scale data Proven success collaborating with product and engineering teams to ship ML-based features and tools Strong communication skills and business acumen to present complex technical ideas to non-technical stakeholders Curious, proactive, and comfortable working in ambiguity in a scaling startup More ❯

in feature engineering, model evaluation, and inference pipelines to help shape the future of our product offerings Lead data labeling at scale to produce ground-truth datasets and use ML techniques to maximise labelling efficiency Act as a subject matter expert in Analytics: Strong understanding of statistics, experimental design, and hypothesis testing to identify trends and patterns, and develop predictive … a strong plus. Bring experience or gain knowledge to act as a subject matter expert in fraud detection, creditworthiness assessment, and optimising transaction approval rates using advanced DS/ML techniques is a strong plus. Experience Required skills Hands-on experience building and deploying ML models in Python SQL skills and familiarity with AWS for deployment and data workflows. Strong … knowledge of statistical modelling, anomaly detection, clustering, and supervised/unsupervised learning Experience working with large-scale data Proven success collaborating with product and engineering teams to ship ML-based features and tools Strong communication skills and business acumen to present complex technical ideas to non-technical stakeholders Curious, proactive, and comfortable working in ambiguity in a scaling startup More ❯

manage large datasets used for training humanoid robots — projected to reach hundreds of terabytes by 2025. Ensure the quality, accuracy, and consistency of data across multiple projects. Collaborate with machine learning teams to design data pipelines that support efficient training workflows. Develop and maintain data quality metrics reporting systems. Implement best practices for data management, including versioning, security … a related field. 5+ years of experience in data engineering and data quality. Strong proficiency in Python/Java, SQL, and data processing frameworks including Apache Spark. Knowledge of machine learning and its data requirements. Attention to detail and a strong commitment to data integrity. Excellent problem-solving … skills and ability to work in a fast-paced environment. Preferred Qualifications Experience with Databricks or Ray. Familiarity with dbt and Airflow. Experience with data quality frameworks. Understanding of ML requirements and experience working with ML teams. Experience in robotics or a related field. Familiarity with cloud-based data storage and processing solutions. Passion for contributing to the development of More ❯

manage large datasets used for training humanoid robots — projected to reach hundreds of terabytes by 2025. Ensure the quality, accuracy, and consistency of data across multiple projects. Collaborate with machine learning teams to design data pipelines that support efficient training workflows. Develop and maintain data quality metrics reporting systems. Implement best practices for data management, including versioning, security … a related field. 5+ years of experience in data engineering and data quality. Strong proficiency in Python/Java, SQL, and data processing frameworks including Apache Spark. Knowledge of machine learning and its data requirements. Attention to detail and a strong commitment to data integrity. Excellent problem-solving … skills and ability to work in a fast-paced environment. Preferred Qualifications Experience with Databricks or Ray. Familiarity with dbt and Airflow. Experience with data quality frameworks. Understanding of ML requirements and experience working with ML teams. Experience in robotics or a related field. Familiarity with cloud-based data storage and processing solutions. Passion for contributing to the development of More ❯

manage large datasets used for training humanoid robots — projected to reach hundreds of terabytes by 2025. Ensure the quality, accuracy, and consistency of data across multiple projects. Collaborate with machine learning teams to design data pipelines that support efficient training workflows. Develop and maintain data quality metrics reporting systems. Implement best practices for data management, including versioning, security … a related field. 5+ years of experience in data engineering and data quality. Strong proficiency in Python/Java, SQL, and data processing frameworks including Apache Spark. Knowledge of machine learning and its data requirements. Attention to detail and a strong commitment to data integrity. Excellent problem-solving … skills and ability to work in a fast-paced environment. Preferred Qualifications Experience with Databricks or Ray. Familiarity with dbt and Airflow. Experience with data quality frameworks. Understanding of ML requirements and experience working with ML teams. Experience in robotics or a related field. Familiarity with cloud-based data storage and processing solutions. Passion for contributing to the development of More ❯

manage large datasets used for training humanoid robots — projected to reach hundreds of terabytes by 2025. Ensure the quality, accuracy, and consistency of data across multiple projects. Collaborate with machine learning teams to design data pipelines that support efficient training workflows. Develop and maintain data quality metrics reporting systems. Implement best practices for data management, including versioning, security … a related field. 5+ years of experience in data engineering and data quality. Strong proficiency in Python/Java, SQL, and data processing frameworks including Apache Spark. Knowledge of machine learning and its data requirements. Attention to detail and a strong commitment to data integrity. Excellent problem-solving … skills and ability to work in a fast-paced environment. Preferred Qualifications Experience with Databricks or Ray. Familiarity with dbt and Airflow. Experience with data quality frameworks. Understanding of ML requirements and experience working with ML teams. Experience in robotics or a related field. Familiarity with cloud-based data storage and processing solutions. Passion for contributing to the development of More ❯

manage large datasets used for training humanoid robots — projected to reach hundreds of terabytes by 2025. Ensure the quality, accuracy, and consistency of data across multiple projects. Collaborate with machine learning teams to design data pipelines that support efficient training workflows. Develop and maintain data quality metrics reporting systems. Implement best practices for data management, including versioning, security … a related field. 5+ years of experience in data engineering and data quality. Strong proficiency in Python/Java, SQL, and data processing frameworks including Apache Spark. Knowledge of machine learning and its data requirements. Attention to detail and a strong commitment to data integrity. Excellent problem-solving … skills and ability to work in a fast-paced environment. Preferred Qualifications Experience with Databricks or Ray. Familiarity with dbt and Airflow. Experience with data quality frameworks. Understanding of ML requirements and experience working with ML teams. Experience in robotics or a related field. Familiarity with cloud-based data storage and processing solutions. Passion for contributing to the development of More ❯

analyst and data science community. Highly competent hands-on experience with relevant Data Engineering technologies, such as Databricks, Spark, Spark API, Python, SQL Server, Scala. Work with data scientists, machine learning engineers and DevOps engineers to develop, develop and deploy machine learning models and algorithms aimed at addressing specific business challenges and opportunities. Coach and mentor … Oversight of project deliverables and code quality going into each release. Able to use historical experiences to help with future innovations. Passionate about data; enjoy being hands-on and learning about new technologies, particularly in the data field. able to take general guidance and the overarching data strategy and identify practical steps to take. Significant experience designing and building … transformation pipelines, using frameworks like Pytest or dbt Unit Test. Comfortable writing efficient SQL and debugging. Data warehouse operations and tunning experience in schema evolution, indexing, partitioning. Understanding of ML development workflow and knowledge of when and how to use dedicated hardware. Significant experience with Apache Spark or any other distributed data programming frameworks (e.g. Familiarity with Databricks as a More ❯

help us make this vision a reality. Competitive candidates will have a track record of writing and shipping quality, well-documented and well-tested software in the AI/ML industry. We are looking for candidates with experience in the field of Responsible AI, preferably for generative AI or language applications. In addition to ML engineering and data science skills … leaders will be committed to your career and development from day one. Key Responsibilities Backend development of generative AI evaluations for a Python web application. Integration of AI/ML components with frontend, backend, data and compute infrastructure. Responsible for high quality software implementations according to best practices, including automated test suites and documentation. Participate in code reviews, continuously improving … and product. Liaise with other technical staff and data engineers in the team and across allied teams, to build an end-to-end pipeline consuming other data products. Deliver ML- and data-driven insights on GenAI datasets. Minimum Qualifications A degree in a quantitative or engineering discipline (e.g., computer science, computational biology, bioinformatics, engineering, among others); OR equivalent work experience More ❯

help us make this vision a reality. Competitive candidates will have a track record of writing and shipping quality, well-documented and well-tested software in the AI/ML industry. We are looking for candidates with experience in the field of Responsible AI, preferably for generative AI or language applications. In addition to ML engineering and data science skills … leaders will be committed to your career and development from day one. Key Responsibilities Backend development of generative AI evaluations for a Python web application. Integration of AI/ML components with frontend, backend, data and compute infrastructure. Responsible for high quality software implementations according to best practices, including automated test suites and documentation. Participate in code reviews, continuously improving … and product. Liaise with other technical staff and data engineers in the team and across allied teams, to build an end-to-end pipeline consuming other data products. Deliver ML- and data-driven insights on GenAI datasets. Minimum Qualifications A degree in a quantitative or engineering discipline (e.g., computer science, computational biology, bioinformatics, engineering, among others); OR equivalent work experience More ❯

help us make this vision a reality. Competitive candidates will have a track record of writing and shipping quality, well-documented and well-tested software in the AI/ML industry. We are looking for candidates with experience in the field of Responsible AI, preferably for generative AI or language applications. In addition to ML engineering and data science skills … leaders will be committed to your career and development from day one. Key Responsibilities Backend development of generative AI evaluations for a Python web application. Integration of AI/ML components with frontend, backend, data and compute infrastructure. Responsible for high quality software implementations according to best practices, including automated test suites and documentation. Participate in code reviews, continuously improving … and product. Liaise with other technical staff and data engineers in the team and across allied teams, to build an end-to-end pipeline consuming other data products. Deliver ML- and data-driven insights on GenAI datasets. Minimum Qualifications A degree in a quantitative or engineering discipline (e.g., computer science, computational biology, bioinformatics, engineering, among others); OR equivalent work experience More ❯

Establish and oversee the build and deployment of an AI agent to enhance client delivery, internal productivity, and advisory effectiveness. Identify and assess emerging technologies and tools in AI, machine learning, natural language processing, and data visualization to inform strategic investment decisions. Partner with cross functional teams to integrate data science solutions into existing and new HR advisory … or AI implementation initiatives that transform business insights and performance. Deep understanding of data modeling, machine learning frameworks, and analytic tool ecosystems (e.g., Power BI, Tableau, Azure ML, or equivalent). Experience evaluating and integrating AI enabled solutions into enterprise workflows. Strong analytical and conceptual thinking, with ability to translate technical capabilities into business impact. Exceptional communication skills … leadership role in a newly established, high impact practice. Opportunity to shape the future of leadership advisory at LHH. Growth opportunities within a human resources global leader. We prioritize learning to stay agile in an increasingly competitive business environment. We foster an open minded environment where people spark new ideas and explore alternatives. Our benefits include Flexible working model More ❯

C++). •Develop clean, responsive front-end interfaces using frameworks like Vue.js or React, to present complex datasets and user workflows. •Collaborate with data scientists and engineers to integrate ML models, ETL pipelines, and cloud-based data storage solutions. •Optimise system performance and reliability for high-volume data operations across distributed environments. •Implement secure, compliant and scalable data access layers … Power BI •Familiarity with visualisation libraries like D3.js, Chart.js or Plotly for building interactive dashboards. •Exposure to DevOps practices including CI/CD and infrastructure as code •Understanding of machine learning workflows or MLOps for deploying and monitoring models in production. •Experience with cloud platforms, especially AWS and its data services (e.g., BigQuery, Redshift, Athena). •Knowledge of More ❯

C++). •Develop clean, responsive front-end interfaces using frameworks like Vue.js or React, to present complex datasets and user workflows. •Collaborate with data scientists and engineers to integrate ML models, ETL pipelines, and cloud-based data storage solutions. •Optimise system performance and reliability for high-volume data operations across distributed environments. •Implement secure, compliant and scalable data access layers … Power BI •Familiarity with visualisation libraries like D3.js, Chart.js or Plotly for building interactive dashboards. •Exposure to DevOps practices including CI/CD and infrastructure as code •Understanding of machine learning workflows or MLOps for deploying and monitoring models in production. •Experience with cloud platforms, especially AWS and its data services (e.g., BigQuery, Redshift, Athena). •Knowledge of More ❯

C++). •Develop clean, responsive front-end interfaces using frameworks like Vue.js or React, to present complex datasets and user workflows. •Collaborate with data scientists and engineers to integrate ML models, ETL pipelines, and cloud-based data storage solutions. •Optimise system performance and reliability for high-volume data operations across distributed environments. •Implement secure, compliant and scalable data access layers … Power BI •Familiarity with visualisation libraries like D3.js, Chart.js or Plotly for building interactive dashboards. •Exposure to DevOps practices including CI/CD and infrastructure as code •Understanding of machine learning workflows or MLOps for deploying and monitoring models in production. •Experience with cloud platforms, especially AWS and its data services (e.g., BigQuery, Redshift, Athena). •Knowledge of More ❯

around the world to protect millions of customer accounts and billions of transactions annually. Leveraging proven data science, including our proprietary consortium data, our customers use our risk-based, machine learning platform to deliver the highest fraud detection rates, lowest false positive rates, and lowest customer intervention in the industry. We stop fraud, not customers. See what others … can't at What you'll achieve As a Senior Data Scientist you will develop and implement machine learning models, perform advanced data analysis, and identify patterns and trends to improve the efficiency and usability of our products and services. You will also be responsible for creating insightful reports and dashboards to support data-driven decision-making across … hard problems. Communicate effectively to senior stakeholders. Deliver value end-to-end. Self-serve data engineering and infrastructure as required. Make recommendations on best practice in terms of analysis, machine learning and data science. Have a transformative presence in the team. Develop and implement machine learning models, including feature engineering, model design, training, and deployment. Perform More ❯

Scientist, you will be involved in driving insights and strategy for the product team, creating and measuring value through experimentation, creating focus through metrics and goals, and building deep learning about what is most impactful for each team. You will be able to determine the underlying dynamics of our complex ecosystem and use this to deliver insights and strategic … Data Science and Analytics at Trainline exists within the wider data organisation as part of the tech org, and is complemented by data engineering teams, data platform teams, and ML teams for when deep ML and AI techniques are required. Our autonomous model creates a huge opportunity for personal influence and impact - as the data scientist on the team you … Tableau, Spotfire, Power BI etc. Expertise in predictive modelling, including both parametric (e.g. logit/probit) and non parametric (e.g. random forest, neural net) techniques as well as wider ML techniques like clustering/random forest (desirable). Tech Stack: SQL, Python, R, Tableau, AWS Athena + More! More information: Enjoy fantastic perks like private healthcare & dental insurance, a generous More ❯

the opportunity to: Solve complex client problems using a variety of data analytics technologies and techniques including but not limited to: data processing and engineering, statistical analysis, data visualisation, machine learning, simulation and optimisation techniques Develop solid and insightful analytics products using data engineering and data science techniques across a variety of industries and business problems Lead the … number of technologies and techniques, covering at least 3 of the following Data Manipulation and ETL Data visualisation technology such as PowerBi, Tableau or Qlik Statistical analysis, AI and machine learning techniques Simulation and mathematical optimisation techniques Hands-on coding experience preferably with SQL, Python or R Cloud development expertise, preferably Microsoft Azure or AWS Ambitious, with a … development. As well as this we offer a whole host of benefits and reward including. 28 days holiday Discretionary Bonus Scheme Cash benefits allowance Extensive investment in personal development & learning Enhanced maternity and paternity leave (depending on length of service) and shared parental leave Private medical insurance Group Income protection Life assurance Cycle to work schemes Regular social, cultural More ❯

Lead infrastructure decisions across cloud environments (AWS/GCP), cybersecurity, data governance, and compliance. Own disaster recovery, infrastructure resilience, and regulatory standards. Data & AI Strategy Oversee data platforms, analytics, machine learning models, and data governance frameworks. Embed data-driven decision-making across the organisation, enabling commercial, product, and marketing teams with actionable insights. Team & Culture Build and lead … growth e-commerce or consumer-facing digital business. Deep technical expertise spanning: E-commerce architecture (Magento, headless, APIs, microservices) Mobile app ecosystems (React Native, Flutter, Swift/Kotlin) AI & Machine Learning (recommendation engines, LLMs, automation) Cloud infrastructure (AWS/GCP/Azure) Data engineering & analytics platforms Strong commercial acumen: understands how to drive profit, conversion, retention, and CLV More ❯

Lead infrastructure decisions across cloud environments (AWS/GCP), cybersecurity, data governance, and compliance. Own disaster recovery, infrastructure resilience, and regulatory standards. Data & AI Strategy Oversee data platforms, analytics, machine learning models, and data governance frameworks. Embed data-driven decision-making across the organisation, enabling commercial, product, and marketing teams with actionable insights. Team & Culture Build and lead … growth e-commerce or consumer-facing digital business. Deep technical expertise spanning: E-commerce architecture (Magento, headless, APIs, microservices) Mobile app ecosystems (React Native, Flutter, Swift/Kotlin) AI & Machine Learning (recommendation engines, LLMs, automation) Cloud infrastructure (AWS/GCP/Azure) Data engineering & analytics platforms Strong commercial acumen: understands how to drive profit, conversion, retention, and CLV More ❯