1 to 25 of 55 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 ❯

in a client-facing role with a cybersecurity focus- i.e. Consultant, Account Manager, Customer Support, Service Delivery etc. This company values exceptional academics including a 2.1 or 1st class degree in Computer Science or CyberSecurity, or a closely related subject, from a top-ranked University You achieved at least AAA at A Level or equivalent UCAS points … on our website). Keywords- Consultant/Operations Engineer/Graduate Engineer/CyberSecurity Engineer/SOC Engineer/Security Analyst/Software Development/Engineering/Python/Computer science/Technical Support/Software Support/Product Support/Security Operations Engineer/Security Operations Analyst/Cybersecurity Engineer/Security Analyst/Network Security Engineer 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 ❯

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 ❯

we use Grafana). video processing & streaming (we use Gstreamer). experience interfacing ML models (we use PyTorch). High Intrinsic motivation to success and ability to work hard. Computer Science Degree from a top ranked University. 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 ❯

ability to translate strategic goals into technical execution. Track record of influencing cross-functional teams and executive stakeholders. Passion for building high-performing teams and nurturing talent. Educational Background: Degree in Computer Science, Information Technology, or a related field, or equivalent work experience. Professional Experience: Minimum of 7-15 years of experience in technical programmes/projects … developing distributed/scalable systems and high-volume, low latency, transaction/computation applications. Broad understanding of the software development lifecycle, including the application of LLM driven and Data Science DevOps/MLOps/AIOps methodologies. Expertise in data management and analytics, including data structures, data processing, data modelling, and statistical analysis. Knowledge of Python and C# for development 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 ❯

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: Excellent 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 5+ years of hands-on experience in a data engineering role. Tools & Technologies: Databases: Proficient in relational SQL databases. 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 ❯

Data Engineer - Permanent As a data Engineer, you will shape next-gen data architecture, build smart solutions with Web and Data Science teams, and harness Gen AI to move faster and smarter. You will be experienced in AI and enjoy writing code. Responsibilities Build and maintain scalable distributed systems using Scala and Java Design complex Spark jobs, asynchronous APIs … teams to improve their data collection pipelines Apply best practices like TDD, SOLID, and their engineering standards Design relational and non-relational databases and data models Support the Data Science team in deploying machine learning models to production Leverage data structures, algorithms, and design patterns effectively Foster empathy and collaboration within the team and with customers Preferred Experience Degree in Computer Science or equivalent practical experience Commercial experience with Spark, Scala, and Java (Python is a plus) Strong background in distributed systems (Hadoop, Spark, AWS) Skilled in SQL/NoSQL (PostgreSQL, Cassandra) and messaging tech (Kafka, RabbitMQ) Experience with orchestration tools (Chef, Puppet, Ansible) and ETL workflows (Airflow, Luigi) Familiarity with cloud platforms (AWS, GCP) and More ❯

delivering purpose-built solutions to drive data-led transformation for organisations. Our emphasis is on craft as we create purpose-built solutions, leveraging Data Engineering, Platform Engineering and Data Science with a razor-sharp focus to solve complex business and technology challenges, and provide customers with a competitive edge. About the role and the skill set: A Data Scientist … at Sahaj should be able to interact with clients and help solve client problems. They should be conversant with problem solving, first principles thinking, data science model life cycle, metrics, and deployments. The model choices should be chosen based on accuracy requirements, the target operational environment and the latencies. The activity for a data scientist involves conceptualizing, formulating, coding … but not limited to, are building a RAG leveraging open source or commercial LLMs, building a Multiagent system, leveraging Small Language models that could be locally resident, problems in computer vision, speech, Natural Language Processing (NLP), multilingual models, applied statistics, data mining or conventional machine learning models. We look to our data scientists to be conversant with at least 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 ❯

ensuring that code is clean, well-documented, and performs efficiently. Contribute to continuous improvement and innovation in quantitative models and portfolio management systems. Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Physics, Finance, or a related field. Strong proficiency in Python, with a deep understanding of libraries like Pandas, NumPy, and others for 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 ❯