926 to 950 of 4,976 Computer Science Jobs in England

this role What We're Looking For: • Minimum 2:2 degree (some roles may require a 2:1 depending on the business unit) in computer science, engineering, physics, maths, or a related STEM field. • Passion for technology and innovation. • Willingness to work from our Leatherhead office and flexibility More ❯

and Google Cloud Experience with Data Engineering and Analytics products such as Snowflake, Redshift, Google Analytics, Segment, ELK Stack Qualifications Bachelor's degree in computer science or equivalent experience combined with theoretical knowledge What's in it For You? Flexibility & Work-Life Balance: Flex My Way is a More ❯

driven strategies to improve business performance. Present findings and recommendations to stakeholders in a clear and concise manner. Qualifications: Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. Proven experience as a Data Analyst or in a similar role. Proficiency in data More ❯

driven strategies to improve business performance. Present findings and recommendations to stakeholders in a clear and concise manner. Qualifications: Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. Proven experience as a Data Analyst or in a similar role. Proficiency in data More ❯

/Hybrid architecture. Recognize the big picture and take initiative to solve the problem and improve design. About You: Bachelor or Master Degree in Computer Engineering/Computer Science with 3-7 years of professional work experience. Strong experience in object-oriented programming with C++ - mandatory skill. More ❯

development within the industry. Provide guidance and support to junior analysts in data analysis and product development. About you Bachelor's degree in Data Science, Information Technology, Computer Science, or a related field, or equivalent practical experience. Experience in a similar role, emphasizing data analysis and product More ❯

the digital landscape. Join us inshaping the future of digital experiences at Mars, where innovationmeetsresponsibility. Whatare we lookingfor? Bachelor’s or Master’sdegree in Computer Science, Engineering, Data Science, or a relatedtechnical field 8+ years of experience inenterprise technology roles, with 3–5 years focused on platformoperations More ❯

the digital landscape. Join us inshaping the future of digital experiences at Mars, where innovationmeetsresponsibility. Whatare we lookingfor? Bachelor’s or Master’sdegree in Computer Science, Engineering, Data Science, or a relatedtechnical field 8+ years of experience inenterprise technology roles, with 3–5 years focused on platformoperations More ❯

the digital landscape. Join us inshaping the future of digital experiences at Mars, where innovationmeetsresponsibility. Whatare we lookingfor? Bachelor’s or Master’sdegree in Computer Science, Engineering, Data Science, or a relatedtechnical field 8+ years of experience inenterprise technology roles, with 3–5 years focused on platformoperations More ❯

the digital landscape. Join us inshaping the future of digital experiences at Mars, where innovationmeetsresponsibility. Whatare we lookingfor? Bachelor’s or Master’sdegree in Computer Science, Engineering, Data Science, or a relatedtechnical field 8+ years of experience inenterprise technology roles, with 3–5 years focused on platformoperations More ❯

is moving toward being a full DevOps software producer. Having previous experience with DevOps is a huge plus. The position requires knowledge of multiple computer languages and working with the architecture team to innovate future-proof solutions. It will also be required to learn about the financial industry to … understand the requirements of other teams. Required Experience Bachelor's degree in Computer Science, Software Engineering, or related field. 5 years of experience in software development. Confirmed experience with multiple computer languages (e.g., C#, C++). Proficiency in software methodologies (e.g., Agile, Scrum, DevOps). Strong understanding More ❯

make a group level impact with access to rich data across all business units. You will be joining a high performing in-house Data Science team that specifically focuses on Marketing domain models. Working as one of our Senior Data Scientists at Saga, you will play a pivotal role … with a real purpose in mind - to meet with your team, to work together, and of course to socialise and celebrate too! Our Data Science team meet in London once a week and then in Kent once a quarter. Role Responsibility Our Senior Data Scientist will be fully accountable … develop, and implement advanced machine learning algorithms and statistical models to solve complex business problems. Drive the exploration and adoption of cutting-edge data science techniques and technologies. Insights and Reporting: Extract actionable insights from large, complex datasets to guide business decision-making. Collaboration with Stakeholders: Work closely with More ❯

names, this is a great opportunity for Juniors and Seniors alike to join! Required Qualifications: Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field. (PLUS) Proven experience with formal verification tools (e.g., Cadence JasperGold, Synopsys VC Formal, or equivalent More ❯

names, this is a great opportunity for Juniors and Seniors alike to join! Required Qualifications: Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field. (PLUS) Proven experience with formal verification tools (e.g., Cadence JasperGold, Synopsys VC Formal, or equivalent More ❯

names, this is a great opportunity for Juniors and Seniors alike to join! Required Qualifications: Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field. (PLUS) Proven experience with formal verification tools (e.g., Cadence JasperGold, Synopsys VC Formal, or equivalent More ❯

names, this is a great opportunity for Juniors and Seniors alike to join! Required Qualifications: Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field. (PLUS) Proven experience with formal verification tools (e.g., Cadence JasperGold, Synopsys VC Formal, or equivalent More ❯

complex data into actionable insights. Excellent communication and stakeholder management skills. A proactive approach to continuous improvement in data solutions. Qualifications: Bachelors degree in Computer Science, Information Technology, Data Science, or related field. Relevant certifications in Microsoft BI technologies (e.g., Microsoft Certified: Data Analyst Associate, Azure Data More ❯

and secure AI solutions across Mars' enterprise platforms, while driving AI adoption across the organization. What are we looking for? Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related field (or equivalent industry experience). 7+ years of experience in AI/ML More ❯

and secure AI solutions across Mars' enterprise platforms, while driving AI adoption across the organization. What are we looking for? Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related field (or equivalent industry experience). 7+ years of experience in AI/ML More ❯

and secure AI solutions across Mars' enterprise platforms, while driving AI adoption across the organization. What are we looking for? Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related field (or equivalent industry experience). 7+ years of experience in AI/ML More ❯

business challenges and making informed decisions. Building and maintaining data pipelines to enable automation, validation, and reporting processes. Collaborating with stakeholders to align data science initiatives with organizational objectives, including designing and executing A/B tests. Developing analytical tools such as real-time alerts and models to identify … leadership with actionable insights on the performance of various initiatives and identifying untapped opportunities. We're excited if you have: Extensive experience in data science and analytics, with a strong foundation in a quantitative field (e.g., Statistics, Data Science, Mathematics, Economics, Engineering, or Computer Science). More ❯

business challenges and making informed decisions. Building and maintaining data pipelines to enable automation, validation, and reporting processes. Collaborating with stakeholders to align data science initiatives with organizational objectives, including designing and executing A/B tests. Developing analytical tools such as real-time alerts and models to identify … leadership with actionable insights on the performance of various initiatives and identifying untapped opportunities. We're excited if you have: Extensive experience in data science and analytics, with a strong foundation in a quantitative field (e.g., Statistics, Data Science, Mathematics, Economics, Engineering, or Computer Science). More ❯

Job Description We want to expand our Data Science function further within our well-established strong data-driven Centralised Analytical department. Our Data Science mission is to build machine learning models in the production environment relative to Marketing, Customer Insights, and Safer Gambling and establish a strong culture … s strategy. We are looking for an experienced MLOps Engineer to support the delivery of ML products. You will work closely with the Data Science team to understand the data and product requirements. You will also collaborate with the Data & Ops team to stay on top of key changes … Azure Databricks as our platform. To be successful in the role, you will need to be experienced in cross-team collaboration to deliver data science projects whilst promoting best practices. You will be proactive in identifying and communicating data-related issues and will act as the interface between Data More ❯

Senior Product Manager - AI, ML & Data Science Remote (UK-based) | Competitive Salary (up to £70k) & Benefits Are you passionate about harnessing data, analytics, and AI to drive innovation? Do you thrive in a product leadership role within a fast-paced, technology-driven environment? If so, we have an exciting … learners worldwide. You'll be responsible for: Driving product strategy - defining and executing the roadmap for data analytics, reporting, and integrations. Leveraging AI & data science - using advanced analytics and machine learning to enhance user experiences and decision-making. Leading cross-functional collaboration - working closely with engineering, data science … re Looking For Proven experience as a Product Manager in a SaaS, software, or ideally EdTech environment. Strong analytical mindset - a background in data science, AI, or machine learning is essential. Degree educated in a STEM discipline such as Mathematics, Statistics, Computer science etc. Excellent problem-solving More ❯

implement, and optimise our data ingestion, transformation, and spreading pipelines and processes. Developing data models, processing pipelines, and back-end services supporting the data science teams, automating processes, building integrations, and analytics. Desired skills: A university degree in Mathematics, Computer Science, Engineering, Physics or similar. 5+ years … with software engineers, data scientists, and machine learning engineers. Experience in working with or leading an off-shore team. Proven record of building data science environments deploying ML solutions in at least one of the big 3 cloud ML stacks (Azure/AWS/GCP) and on Kubernetes clusters. More ❯