126 to 150 of 480 Computer Science Jobs in the South East

timeline or a system incident, and coordinate a resolution. Adaptable and calm under pressure when balancing fast delivery with reliability. Preferred Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Prior experience as a software engineer, SRE/DevOps engineer, or similar technical role is highly valued and will help deeply engage More ❯

cutting-edge technology to do a variety of amazing things with cameras and other data sources (all in real-time on site or in the cloud) are looking for Computer Vision specialist with excellent C++ skills. They are searching for motivated, driven and proactive individuals, who will develop and innovate. They are looking for someone who will be responsible … for developing their data creation and collection technology . The role will provide you will a high level of autonomy and project ownership. What you will do as a Computer Vision Engineer (C++) Develop and maintain real-time ball and player tracking software specifically for providing data to third parties Develop C++ applications for visualising and analysing tracking data … for coaching and broadcast purposes Design intuitive and easy to use user interfaces They are looking for: Required attributes: Bachelor's or Master's degree in Computer Science, Engineering, or related field Experience programming in C++ Understanding of 3D Linear Algebra for Computer Vision Proficient using Git version control Strong problem-solving abilities and communication skills Desirable More ❯

teams Expected Qualifications, Skills & Experience: Experience in a R&D Tax Credits role with a strong working knowledge of the UK R&D tax incentive schemes A passion for science and technology innovation. Degree in Computer Science, Software Engineering, AI/Machine Learning, Software Development or a closely related discipline. Proficient in modern programming languages. Excellent organisational More ❯

strong focus on data-driven decision-making, they help brands across entertainment, tech, sports, and consumer goods maximise their marketing impact. You’ll be part of a collaborative Data Science team, working on large-scale datasets, building machine learning models, and delivering actionable insights for high-profile clients. Key Responsibilities Lead the development of solutions for complex client challenges … analysis within an AWS environment. Work closely with Data Engineering, Sales, and Market Research teams across the UK, US, and India. What We’re Looking For Experience in Data Science, with a proven track record of delivering impactful projects. Strong statistical and machine learning expertise, with the ability to apply and evaluate various algorithms. Proficiency in Python (Pandas), SQL … to drive business decisions. Strong communication skills, with experience in managing client relationships. A degree in a relevant field such as Mathematics, Statistics, Economics, Psychology, Sociology, Physics, Engineering, or Computer Science (Master’s or PhD is a plus). Interest or experience in TV viewing data, media, or marketing analytics is beneficial but not essential. If this role More ❯

than comfortable working to both their own initiative and as a team. You will ideally be educated to at least MSc in a quantitative subject such as Mathematics, Statistics, Computer Science or Physics and any knowledge with sports betting/trading would be beneficial but not essential.This is an office-based role and as well as very competitive … Python, C#, C++, Java 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 More ❯

About Data at Holland & Barrett Data is the beating heart at Holland & Barrett. Our data teams - comprised of Data Engineering, Data Warehousing, BI, Data Science and Product Analytics - are essential to enabling H&B's vision of becoming the world's leader in personalised wellness journeys. Our mission is to provide access to quality data at the speed of … a passionate Senior Data Warehousing Engineer to join our growing Data & Analytics organisation. You'll be part of the Data Warehousing team, working closely with Data Engineering, BI, Data Science and Product Analytics colleagues to shape the future of data at H&B. About the Role As a Senior Data Warehousing Engineer, you'll play a key role in … product, tech and business teams to deliver impactful projects Contributing to the vision, culture and strategy of the Data & Analytics organisation The Person Bachelor's degree in Software Engineering, Computer Science, or related field 3–4 years' experience transforming large datasets into analytics and BI solutions (e-commerce experience is a plus) Highly advanced SQL skills Strong experience More ❯

Kanban) and continuing integration. Experience in UI design, optimisation, scalability and reliability. Excellent problem solving and analytical skills in a high-pressure environment. Must possess a solid degree in Computer Science, Physics, Engineering, Mathematics or relevant analytical degree. Strong understanding of algorithms, data structures and design patterns including why and where to use them. Candidate must be a More ❯

junior engineers Required Skills & Experience Proven commercial experience in software development using C++ Strong knowledge of SQL Proficiency in Unix/Linux environments Degree in a numeric discipline (e.g., Computer Science, Mathematics) or equivalent professional experience Excellent communication skills, both written and verbal Desirable Skills Experience with Oracle databases Familiarity with event-driven distributed messaging systems (e.g., Kafka More ❯

Core, SQL Server/Azure SQL, Azure Services, Azure DevOps - Frontend skills with HTML5, CSS3, and JavaScript - Experience with API integrations and version control (GitHub/Bitbucket) - Degree in Computer Science or equivalent experience - Experience with MAUI/Xamarin (desirable) Benefits - Competitive salary - Flexible working hours (within 8am6pm) - Private healthcare - Company car scheme - Company pension - Performance bonuses - Regular More ❯

support scalability, modularity, and self-service quality tooling. Mentor junior engineers and influence technical standards across the Test Engineering Program. Required Qualifications Bachelor’s or master’s degree in computer science, Engineering, or a related technical field. 8+ years of hands-on software development experience, including large-scale backend systems or platform engineering. Expert in Python with a More ❯

of QA Engineers. Build succession plans and invest in professional growth within the team. Champion a culture of continuous improvement, recognition, and accountability. About You Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience). Strong experience in software QA, ideally within Agile/Scrum environments. In-depth knowledge of QA methodologies, tools, and More ❯

with the latest research and advancements in prompt engineering, LLMs, and GenAI. Contribute to internal documentation, best practices, and knowledge sharing initiatives. Required Qualifications: Bachelors or Masters degree in Computer Science, Artificial Intelligence, Linguistics, or a related field. Commercial years of experience in AI/ML, with at least 1 year focused on prompt engineering or working with More ❯

and debugging of software applications Document software development processes and procedures Stay up-to-date with the latest industry trends and technologies. Skills and experience required: A degree in Computer Science, Software Engineering, or a related field Strong programming skills in languages such as Java, C++, or Python Knowledge of software development methodologies and best practices Experience with More ❯

WFH: You'll be joining a friendly and supportive team in London with flexibility to work from home one day a week. About you: You are degree educated in Computer Science, from a top tier university (e.g. Russel Group, Oxbridge) You have Typescript experience combined with strong React and React Native skills You're proficient with HTML5 and More ❯

practices, and conducting code reviews Operating in various development environments (Agile, Waterfall, etc.) while collaborating with stakeholders Completing bug fixes and resolving technical issues Requirements: BSc degree in Engineering, Computer Science, or equivalent experience Solid software development experience Proficiency in languages such as Java, Spring Boot, Python, or C# Understanding of data modeling, data manipulation, and storage systems More ❯

emerging trends such as data mesh, data products, and generative AI to strengthen the consultancy’s thought leadership. Required Skills & Experience Education: Bachelor’s or Master’s degree in Computer Science, Information Systems, Business, or related field. Experience: 10+ years in BI/Data Warehousing/Analytics, including 4+ years in pre-sales or solution architecture roles with More ❯

emerging trends such as data mesh, data products, and generative AI to strengthen the consultancy’s thought leadership. Required Skills & Experience Education: Bachelor’s or Master’s degree in Computer Science, Information Systems, Business, or related field. Experience: 10+ years in BI/Data Warehousing/Analytics, including 4+ years in pre-sales or solution architecture roles with More ❯

regression testing Big data: distributed computing paradigms (such as mapreduce, dataframes, etc), optimizing distributed software Modelling/quantitative: basic modelling techniques (regression, classification, clustering, etc) Bachelor's degree in Computer Science, a closely related field, or a degree from a program where software engineering was a key focus or equivalent work experience Relevant experience in software engineering in More ❯

multiple levels and functions in the organization Able to communicate technical or complex subject matter in business terms. Implement, manage, and maintain global security platforms Manage and participate in computer security incident response activities and the technical investigations of security-related incidents Conduct investigations of security related incidents Identify security vulnerabilities, perform solution security reviews and risk assessments, and … as improve SIEM solution. Strong knowledge in Security Cloud support for AWS, OCI, and Azure. Develop and maintain incident response playbooks and procedures. Candidate Profile Bachelor's degree in Computer Science, Cyber Security, or a related field At least 3-5 years of experience in cyber security operations or a related field 3- 5 years Experience working in More ❯

join our team on a contract basis. You will be responsible for designing, developing, and deploying deep learning models to solve complex real-world problems across domains such as computer vision, natural language processing, and time-series analysis. Key Responsibilities: Design and implement deep learning models using frameworks such as PyTorch or TensorFlow. Collaborate with data scientists, ML engineers … MLOps practices and tools (e.g., MLflow, DVC, Airflow). Strong problem-solving skills and ability to work independently in a fast-paced environment. Preferred Qualifications: MSc or PhD in Computer Science, Machine Learning, or related field. Experience with large-scale datasets and distributed training. Knowledge of model interpretability and responsible AI practices. Benefits: Flexible working arrangements (hybrid or More ❯

join our team on a contract basis. You will be responsible for designing, developing, and deploying deep learning models to solve complex real-world problems across domains such as computer vision, natural language processing, and time-series analysis. Key Responsibilities: Design and implement deep learning models using frameworks such as PyTorch or TensorFlow. Collaborate with data scientists, ML engineers … MLOps practices and tools (e.g., MLflow, DVC, Airflow). Strong problem-solving skills and ability to work independently in a fast-paced environment. Preferred Qualifications: MSc or PhD in Computer Science, Machine Learning, or related field. Experience with large-scale datasets and distributed training. Knowledge of model interpretability and responsible AI practices. Benefits: Flexible working arrangements (hybrid or More ❯

join our team on a contract basis. You will be responsible for designing, developing, and deploying deep learning models to solve complex real-world problems across domains such as computer vision, natural language processing, and time-series analysis. Key Responsibilities: Design and implement deep learning models using frameworks such as PyTorch or TensorFlow. Collaborate with data scientists, ML engineers … MLOps practices and tools (e.g., MLflow, DVC, Airflow). Strong problem-solving skills and ability to work independently in a fast-paced environment. Preferred Qualifications: MSc or PhD in Computer Science, Machine Learning, or related field. Experience with large-scale datasets and distributed training. Knowledge of model interpretability and responsible AI practices. Benefits: Flexible working arrangements (hybrid or More ❯

algorithms Collaborate with engineering team to bring analytical prototypes to production Generate actionable insights for business improvements Qualifications Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and More ❯

algorithms Collaborate with engineering team to bring analytical prototypes to production Generate actionable insights for business improvements Qualifications Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and More ❯

algorithms Collaborate with engineering team to bring analytical prototypes to production Generate actionable insights for business improvements Qualifications Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and More ❯