151 to 175 of 4,697 Computer Science Jobs in the UK

this opportunity offers a chance to shape how enterprises use data and AI to drive growth. Responsibilities Translate complex business challenges into actionable data science and AI strategies Shape and support high-value opportunities, including pre-sales activities such as proposals and technical demos Design, develop and deploy predictive … Stay updated with trends and emerging technologies in AI and analytics Requirements Bachelor’s or Master’s degree in a quantitative discipline such as Computer Science, Data Science, Statistics or Mathematics Proven experience in technical consulting or client-facing data science roles with strong stakeholder engagement ...

role in building and maintaining the infrastructure to acquire data from the data platform, deploy models, maintain, monitor and upgrade core data science services in both Azure and GCP that supports the deployment of machine learning models across the enterprise. You’ll work closely with Data Scientists, Platform Engineers … contribute to the operational excellence of our machine learning systems. In addition to strong engineering skills, you’ll bring a solid understanding of Data Science principles. You should be comfortable reading, questioning, and interpreting machine learning models to ensure they are deployed appropriately and effectively. Your ability to bridge ...

drive feature development. Contributing strategically to platform roadmaps and long-term technology strategies for the Meridian constellation. Basic Qualifications: Bachelor's degree in computer science, software engineering, electrical engineering, or a related field. 15+ years of professional software engineering experience, with a critical focus on developing middleware, automation … environments. Excellent communication and leadership skills, with a demonstrated ability to mentor junior engineers and lead technical initiatives. Preferred Qualifications: Master's degree in computer science, software engineering, telecommunications, or a related field. Programming Languages: Advanced proficiency in languages optimized for high-performance microservices, network automation, and platform ...

direction, design solutions, and lead the optimisation of decisioning frameworks and automation solutions for major clients. You bring deep expertise in NBA logic, data science, and decisioning architecture — and the consulting capability to turn complex challenges into working solutions. You look at a decisioning problem, ask what outcome … decisioning capability across the practiceContribute to business development — shaping proposals and demonstrating technical credibility in client conversationsWhat You Will BringRequiredExperience in a decisioning, data science, marketing technology, or customer analytics delivery roleHands-on experience designing and delivering NBA/NBO solutions in a commercial environmentDeep understanding of decision logic ...

Code and automated deployment pipelines Excellent communication and stakeholder management skills Ability to engage with both technical and non-technical audiences Education Degree in Computer Science, Software Engineering, Information Technology, Artificial Intelligence, Data Science, or a related technology discipline Minimum 2:1 degree classification (or equivalent) Desirable ...

Code and automated deployment pipelines Excellent communication and stakeholder management skills Ability to engage with both technical and non-technical audiences Education Degree in Computer Science, Software Engineering, Information Technology, Artificial Intelligence, Data Science, or a related technology discipline Minimum 2:1 degree classification (or equivalent) Desirable ...

September 2027. Have graduated by September 2027 and be available to start full-time employment in September 2027. Have streams and specializations in Computer Science, Information Science, Information Technology, Data Science, Artificial Intelligence, Big Data, or related field Oral and written fluency in English language … essential Preferred qualifications, capabilities, and skills Demonstrates strong knowledge of machine learning, data science principles, including prompt engineering, with experience handling large, complex datasets. Use programming languages such as SQL and Python. Use data & artificial intelligence tools (e.g., AWS, CoPilot, Snowflake, DataBricks, LLM). Understanddata management and governance, including ...

tools such as DataDog Implement and manage AWS cloud infrastructure Требования: Strong hands-on experience in DevOps and cloud technologies Bachelor's degree in Computer Science, Engineering, or equivalent Experience with CI/CD pipelines, preferably GitLab, Ansible, Terraform, and YAML-based pipelines Proficiency in Shell or PowerShell ...

business challenges into practical technical solutions. Responsibilities Design, develop, train and deploy machine learning and AI models, including predictive analytics, natural language processing (NLP), computer vision and Generative AI solutions, to support client mission and business outcomes. Build scalable, reusable AI products, accelerators and solution components that … with geospatial data. Experience delivering within the UK public sector, Defence or National Security. Exposure to Databricks and/or Snowflake. A relevant degree (Computer Science, Data Science, AI/ML or related) or equivalent practical experience. Security Clearance Requirements Due to the nature of our work ...

September 2027. Have graduated by September 2027 and be available to start full‐time employment in September 2027. Have streams and specializations in Computer Science, Information Science, Information Technology, Data Science, Artificial Intelligence, Big Data, or related field Oral and written fluency in English language … essential Preferred Qualifications, Capabilities, And Skills Demonstrates strong knowledge of machine learning, data science principles, including prompt engineering, with experience handling large, complex datasets. Use programming languages such as SQL and Python. Use data & artificial intelligence tools (e.g., AWS, CoPilot, Snowflake, DataBricks, LLM). Understand data management and governance ...

team. Ability to work collaboratively in a cross-functional team environment. Ability to work with large datasets and perform data mining tasks. Strong computer skills, including proficiency in Microsoft Office. Excellent attention to detail and strong documentation skills. Outstanding verbal and written communication skills. Strong organisational and interpersonal skills. … Exceptional problem-solving abilities. Education and Experience Bachelor’s degree in data analytics, statistics, accounting, computer science, or related discipline. 4+ years of relevant experience in data analytics, reporting, and visualization. Hands-on experience with SQL and NoSQL databases. Experience with data integration and exchange, transfer, load processes. ...

evolve. Requirements: Engineering experience: 4+ Years of software engineering experience, ideally including exposure to AI-enabled or data-intensive systems. Education: BS in Engineering, Computer Science, or equivalent. Ways of working: Comfortable working autonomously within a defined problem and pushing back when something doesn't make sense … employee discountsRecruitment introduction rewardEmployee Assistance Program (global)About the business- A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics ...

lead client projects and explain technical concepts in non‐technical terms. Desirable Experience: Advanced degree (MSc or PhD) in a quantitative field like Computer Science, Machine Learning, Operational Research, or Statistics. Proven track record of delivering data science projects, especially in enterprise software or SaaS environments. Basic ...

platform, including quality gates, lifecycle controls, operational monitoring and supportability. Skills/Experience Qualifications Bachelor’s or Master’s degree in Computer Science, Data Engineering, Data Science, Software Engineering, or a related discipline (or equivalent experience) Skills & Experience Essential Experience in DevOps, platform engineering, cloud operations, software … Awareness of MLOps concepts such as MLflow, model registry, model promotion, model monitoring, and governed deployment pipelines Exposure to machine learning workflows or data science environments, with an interest in developing into ML platform engineering Experience working with industrial equipment, embedded systems, firmware teams, or device-to-cloud architectures ...

driven decisions. Support recruitment and development of QA talent through active hiring, mentoring and creating a growth environment. Qualifications & Experience Bachelor’s degree in Computer Science, Computer Engineering or related field, or equivalent practical experience. Strong experience leading QA or test engineering teams in complex, data‐driven ...

lead client projects and explain technical concepts in non-technical terms. Desirable Experience: Advanced degree (MSc or PhD) in a quantitative field like Computer Science, Machine Learning, Operational Research, or Statistics. Proven track record of delivering data science projects, especially in enterprise software or SaaS environments. Basic ...

more junior developers, providing direction support as you solve challenging problems together. M INIMUM ( ESSENTIAL ) REQUIREMENTS : A minimum of a 2.1 degree in Computer Science, AI, Data Science, Statistics or in a similar quantitative field. Demonstrable experience of deploying modern AI/ML solutions into production, including ...

willsupport your colleagues and more junior developers, providingdirectionsupportas you solve challenging problems together. M INIMUM ( ESSENTIAL ) REQUIREMENTS : A minimum of a 2.1 degree in Computer Science, AI, Data Science, Statistics or in a similar quantitative field. Demonstrable experience of deploying modern AI/ML solutions into production ...

creating interactive dashboards and visual analytics using tools such as Streamlit, Plotly, Dash, or D3.js. Proven experience leading, mentoring, and formally line-managing data science teams, including conducting performance appraisals and supporting career development and progression. Strong interpersonal and communication skills, with a track record of managing client engagements … translating business requirements into actionable technical solutions. Desirable Experience: Advanced degree (MSc or PhD) in Computer Science, Machine Learning, Operational Research, Statistics, or a related field. Proven track record of delivering AI solutions in enterprise SaaS environments, particularly for Workday systems. Advanced proficiency in relational databases (e.g., PostgreSQL ...

systems to agentic backends understanding data flows, context handoffs, and integration points between your code and AI pipelines Basic Qualifications Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, or a related field Commercial software engineering experience in production environments (or equivalentdemonstratedthrough academic projects, internships ...

migration, hybrid and multi-cloud environments, and FinOps. Cloud infrastructure, networking and security. API integration and enterprise architecture. Preferred experience and qualificationsA degree in computer science, engineering, mathematics, data science or a related field, or equivalent professional experience. Relevant AI, data or cloud certifications, such as Google ...

create dashboards and analytical reports. Ability to work independently, manage multiple priorities, and deliver results in a hybrid work environment. Bachelor’s degree in Computer Science, Data Science, Information Systems, Engineering, or a related field, or equivalent practical experience. Experience in a senior or lead analyst role ...

task across platforms and multi-layer solutions A team player with excellent communication skills Qualifications University Degree or ideally Masters’ Degree or higher in Computer Science, Mathematics, Statistics, Finance, Actuarial Science, Engineering, Physics, or a related field Knowledge & Experience Essential Product knowledge: Individual Annuities and Bulk Purchase ...

engineering and cloud native technologies- Eligibility for the UK Security ClearancePreferred qualification - Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or PhD- Knowledge of the primary AWS services such ...

estimates Writing technical documentation Identify risk and escalate appropriately when required Knowledge, Skills, Qualifications and Experience Essential First class degree or upper 2nd in Computer Science or similar technical field of study(or equivalent practical experience) A thorough understanding of Software Engineering principles Proficiency in C#.NET Experience using … ability to learn other coding languages as needed (eg.Python, Angular, React) Experience with dependency injection frameworks (eg.Autofac) Experience in distributed computing, machine learning, data science Experience with building data pipelines, data streaming applications Experience in, or enthusiastic, about motorsport What we can offer you In return for everything ...