1 to 25 of 51 Computer Science Degree Jobs in the City of London

applications. Contribute to the continuous improvement of our development processes and tools, with a focus on leveraging AI to enhance productivity and code quality. What you need Bachelor's Degree in Computer Science or a related technical field, or equivalent practical experience. Proven experience in ERP development. Strong understanding and experience with inventory management, warehouse management, and … problem-solving skills and attention to detail. Excellent communication and teamwork abilities. Fluency in English. What you have already done 3+ years experience as a SWE A Bachelor's Degree in Computer Science or a related technical field, or equivalent practical experience An understanding of application lifecycle and the implications for an application platform running in production More ❯

on exciting projects and learning from experienced professionals in a supportive, fast-paced environment. Who We're Looking For: We're seeking a recent graduate who has completed a degree in Computer Science, Engineering, or a related field from a top-tier university (minimum 2:1 or international equivalent), and achieved at least AAB at A-level. … excited by this opportunity and ready to take the next step in your career, we'd love to hear from you. Apply via the link below. Keywords: Graduate, Internship, Computer Science, Engineering, Software, AI, ML, JavaScript, Node.js, Python, Full Stack, Client-Facing, Integration, A-levels, Top University Adecco operates as an Employment Agency and is an equal opportunities More ❯

Identify and resolve project roadblocks to help the team stay focused on deliverables. Analyze project data and outputs to provide actionable insights. Required Qualifications Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related technical field. 2-4 years of hands-on project management experience, preferably in technology or AI-focused environments. More ❯

users, translating complex AI concepts into practical applications. Establish KPIs to measure the impact of AI initiatives and training efforts. Skills & Experience: Proven experience in applying AI or data science within the media, publishing, or digital content industry. Solid understanding of AI tools (e.g., NLP, computer vision, recommendation engines, generative AI) and their practical applications. Experience designing and … professional audiences. Strong analytical, problem-solving, and communication skills. Comfortable working in a fast-paced, cross-functional environment. Awareness of data privacy, copyright, and ethical considerations in AI adoption. Degree in Computer Science, Data Science, Media Technology, or a related field. Hands-on experience with AI platforms and tools (e.g., OpenAI, Adobe Firefly, Synthesia, RunwayML, Jasper More ❯

pipelines and models. Ensure data quality and integrity throughout the ETL process. Stay current with advancements in graph databases, data modeling, and programming languages. Required Skills & Qualifications Bachelor’s degree in Computer Science, Data Science, or a related field. Proven experience with SPARQL and Python. Strong understanding of graph databases (e.g., RDF, Neo4j, GraphDB). Experience More ❯

experience in a fast-paced, high-growth, product environment, ideally as a Co-Founder or Founding Engineer Some interest or experience with the lifecycle of ML model development & deployment Computer Science degree or similar field of study Excellent English communication skills: proven experience liaising effectively with customers (other Software Engineers or ML Engineers) Strong problem-solving skills More ❯

and are on their way to securing Series B funding status. In terms of applicants - they will generally only look at candidates who have a high level of education - Computer Science Degree from a top tier/ranked University. The role We are looking for someone to help us grow our system to meet the user demand. More ❯

Data Science Manager Up to £120,000 London (Remote/Hybrid) Company: Join a global marketplace redefining how pre-owned goods are collected, reused, and redistributed. Founded in the UK, they’ve built a scalable, tech-enabled platform that intercepts millions of unwanted items every year, transforming them from landfill-bound to re-loved by new owners. Responsibilities: Lead … and deliver scalable statistical models and analyses that drive business decisions Own end-to-end delivery of data science projects, from identifying and integrating data sources to experimentation, model deployment, and pricing strategy optimization Define and implement best practices in modelling, automation, and process improvements, ensuring the right tools and approaches are used for each problem. Effectively communicate complex … both technical and non-technical audiences, including senior executives, with a strong focus on commercial impact. Collaborate cross-functionally with product managers, engineers, and other stakeholders to align data science work with broader strategic goals under a “One Team” approach. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong More ❯

Head of Data Science - Credit Risk/Lending Up to £130,000 + Bonus London (2/3 days onsite) Company: A long term client of ours, operating within the Credit/Lending space is looking to bring in a new Head of Data Science. Focused on Credit Cards and Loans, the company uses a digital-first platform and … smart analytics to assess affordability fairly and lend responsibly. Backed by a trusted brand, it’s making credit clear, accessible, and ethical. Responsibilities: Lead a Data Science team to build and embed top credit models supporting growth and customer outcomes. Develop and deploy segmented credit models for unsecured consumer lending. Improve data and analytics by identifying opportunities and encouraging … with Analytics to optimise portfolio value through data and modelling adjustments. Communicate insights to stakeholders, monitor model performance, and collaborate across teams and external partners. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Experience working with models in the Credit Risk/Lending space (Probability of Default, scorecard etc). More ❯

experience in technical troubleshooting, performance optimization, and data-driven decision-making. Ability to thrive in a fast-paced, agile environment and manage complex technical and product priorities. Bachelor’s degree in computer science, engineering, or a related technical field; advanced degree or MBA is a plus. More ❯

them into technical solutions that enhance our business processes. Essential Skills & Experiences: • Minimum of 5 years of experience in Dynamics 365 and Power Platform development and customisation • Bachelor’s degree in computer science, Information Technology, or a related field or relevant experience • Proficiency in Dynamics 365 and Power Platform (CRM, Customer Services, Sales and Marketing) • Strong knowledge More ❯

seeking a Lead Data Scientist to develop and deploy end-to-end AI solutions. You'll work on machine learning models for retention, price optimisation, recommendation engines, NLP, and Computer Vision. Responsibilities: Design, develop, and productionize machine learning models across various applications. Work with Python (ideally production-level code) and other tools like SQL, Spark, and Databricks. Apply clustering … environments (AWS, Azure, GCP). Ensure explainability, bias detection, and algorithmic fairness in models. Collaborate with stakeholders to translate business challenges into data-driven solutions. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong Python skills (bonus: C++, SQL, Spark) Experience in ML algorithms (XGBoost, clustering, regression) Expertise in Time … Series, NLP, Computer Vision, MLOps Knowledge of AWS/Azure/GCP, CI/CD, and Agile development Ability to own solutions and manage stakeholders How to Apply: Please register your interest by sending your CV to Emily Burgess via the Apply link on this page. More ❯

or mentoring a Solutions, Pre-Sales, or Technical Consulting team. Strong verbal and written communication skills with the ability to articulate technical solutions clearly to a variety of stakeholders. Degree in Computer Science, Engineering, or a related STEM degree Solid understanding of systems integration concepts and hands-on experience with RESTful APIs and cloud-based architecture. More ❯

React Native from concept through to launch. Focus on how app integrates across entire system i.e. full stack. Experience in a start-up environment. Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience. Deep understanding of React Native and its core principles. Prior experience with iOS and Android platforms More ❯

provide expert-level support and solutions. Maintain high-quality documentation and drive a culture of knowledge sharing. Support and grow team capabilities through mentorship, leadership, and technical guidance. Requirements Degree in Computer Science or equivalent experience. Strong experience in full-stack development, particularly with C# and React. Proficient in Azure services and cloud deployment strategies. Skilled in More ❯

React Native from concept through to launch. Focus on how app integrates across entire system i.e. full stack. Experience in a start-up environment. Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience. Deep understanding of React Native and its core principles. Prior experience with iOS and Android platforms More ❯

Project Management & Collaboration: Strong project management and organizational skills, with experience supporting and collaborating with cross-functional teams in dynamic and evolving settings. Education & Professional Background: Holds a graduate degree in Computer Science, STEM related quantitative field, with 2+ years of hands-on experience in a data engineering role. Tools & Technologies: Databases: Proficient in relational SQL databases. More ❯

new .NET/C# investment banking application that will be the envy of the industry. We are seeking several passionate Graduate .NET Developer who have recently graduated with a degree in Computer Science (or a related subject) and have a basic understanding of the .NET framework (.NET, .NET Core/ASP.NET MVC, C# or C#.NET winforms) and More ❯

constructive manner Strong analytical skills Data Modelling Relational Database Design Database Application Development Microsoft - SQL Server/Transact SQL Server/Data Warehousing & Reporting PowerShell, DOS Database performance tuning Degree in Computer Science/Information Systems Design or equivalent Desirable: Knowledge of Fuel oil and the Bunker Industry desirable More ❯

hybrid work environment. Experience with ML metadata extraction and scripting languages is a plus. Experience in the procurement or supply chain industry is a nice to have. Bachelor's degree in Computer Science, Information Systems, or related field. More ❯

tech stack by identifying new and better technologies and tools; and leading ‘buy vs build’ analysis where required Skills/Qualifications Education Bachelor's/Master’s/PhD degree in Computer Science, Engineering, or a related field; or equivalent professional experience. Technical Product Ownership Proven experience managing technical B2B SaaS products with a track record of More ❯

DATA SCIENTIST LONDON (HYBRID - 3 Days Per Week) UP to £60,000 COMPANY: This company is a global leader in Customer Data Science, who work across customer analytics and loyalty working as a consultancy services giving you’re the opportunity to work with market leading business & retailers! They are looking for a Data Scientist to join their Data Science team! RESPONSIBILITIES: Work on designing and building advanced ML models - including propensity and clustering Apply machine learning, statistical, and econometric methods to a range of other customer data science problems Working closely within a team to understand, troubleshoot, and maintain machine learning models Maintain and enhance existing ML models, ensuring all models are deployed in production are monitored. … Stay updated with the latest developments in ML/AI, and related fields to keep the company at the forefront of technological advancements REQUIREMENTS: PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Proven experience in clustering and propensity Strong coding skills in Python, R or MATLAB Excellent communication skills Knowledge of databases and More ❯

client requirements and geographies Model documentation and presentations to engage with stakeholder and customers, all while representing the team at international conferences and industry events Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. 3+ years of experience in a Data Science, Data Analysis, or related role Strong hands-on More ❯

closely with Data Engineering to deploy models into production pipelines. Collaborate with stakeholders to define modelling goals and interpret model outcomes in a business context. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Strong communication skills, with the ability to work effectively in More ❯

BI However this coexists with a legacy tech stack , which theHead of Data Engineering & Insight will support the transition to the new architecture already in place. Qualifications/Education: Degree in Computer Science, Data, Engineering or equivalent. Certifications such as Azure Data Engineer, AWS Big Data, SAFe , or PMP are a plus. Team: 2-3 direct reports More ❯