1 to 25 of 124 Computer Science Jobs in the City of London

designing and building API-driven integrations and working with third-party platforms This company values an excellent academic history so is looking for a 2:1 or above in Computer Science, Engineering, Mathematics, or similar and at least ABB at A-Level Familiarity with cloud services and infrastructure (AWS, GCP, Azure) Knowledge of CI/CD pipelines and … version control tools such as Git Strong problem-solving skills and the ability to communicate effectively with both internal and external technical teams A 2:1 or above in Computer Science, Engineering, Mathematics, or a related STEM subject Responsibilities for Software Integrations Engineer Design, develop and maintain robust integration services and APIs to support customer onboarding and custom … Engineer/OAuth/SAML/Webhooks/Microservices/REST APIs/CI/CD/Git/Docker/Kubernetes/AWS/GCP/Azure/Computer Science Graduate/B2B Software/Integration Pipelines/Software Deployment RedTech Recruitment Ltd focus on finding roles for Engineers and Scientists. Even if the above role isn More ❯

Company: This data-first property tech startup empowers businesses to make smarter decisions by turning complex data into clear, actionable insights. Leveraging rich UK property data and advanced data science, they provide deep customer insights, predict behaviour, and enable hyper-targeted marketing. Responsibilities: Lead the organization’s data science initiatives, developing advanced analytics strategies, and driving innovation through … AI and machine learning Develop and implement the company’s data science strategy to drive business growth. Stay ahead of emerging trends in data science, AI, and big data technologies. Challenge the status quo and always look for ways to improve data science Oversee the development, deployment, and optimisation of AI/ML models. Partner with business … leaders to identify key challenges and opportunities. Requirements: PhD or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field Proven leadership experience in a data science or AI-driven organization. Proficient in Python (core skill), with strong experience in SQL, AWS, and CI/CD pipelines Strong technical expertise in AI More ❯

. Inviting applications for the role of Senior Manager, Data Analytics & Data Modelling! In this role, we are looking for an experienced and results-driven Senior Manager – Data Analytics & Science to lead high-impact data initiatives across our organization. The ideal candidate will have a strong foundation in data analytics, data science, and data modelling, as well as … collaborating with business stakeholders to deliver data-driven insights that influence key decisions. Responsibilities Lead and manage a team of data professionals in executing complex analytics, modeling, and data science projects. Design, develop, and maintain scalable data models that support business intelligence, forecasting, and decision-making processes. Oversee implementation and governance of data lineage and data dictionary frameworks to … ensure transparency, compliance, and data quality. Collaborate with cross-functional teams and senior stakeholders on strategic data projects , ensuring alignment with business goals. Provide thought leadership on data science methodologies and analytics best practices. Translate business requirements into technical solutions through advanced analytics and predictive modeling. Drive adoption of data-driven culture across the organization by delivering actionable insights More ❯

ours on a new Chief Data Scientist position. You will be joining an organisation where data drives strategic decision-making within the property space. You’ll lead the data science vision while remaining hands-on with AI and machine learning initiatives that have real business impact. This is ideal for someone who enjoys blending leadership, strategy, and technical depth. … This would be a great opportunity for someone looking to take a step up in their career - I.e. Someone at the Principal, Manager, Head of Data Science level. Key Responsibilities Define and deliver the data science strategy to unlock business value. Identify AI/ML opportunities and develop impactful, scalable solutions. Lead and mentor a cross-functional team … hands-on where needed, guiding model design, code reviews, and architecture decisions. Promote ethical, responsible AI and ensure regulatory compliance (e.g. GDPR). Collaborate with stakeholders to integrate data science across the business. Communicate insights through clear storytelling and visualisation. What We’re Looking For MSc/PhD in Data Science, Computer Science, Maths or similar. More ❯

ASAP About the Opportunity: We are seeking an ambitious and intellectually curious Junior Data Scientist to join a fast-growing, forward-thinking team working at the forefront of data science, machine learning, and applied AI. This is an excellent opportunity for a recent Master’s graduate eager to apply their academic expertise to solving real-world challenges—whether it … that deliver meaningful impact across a variety of industries. What You’ll Be Doing: Designing and building machine learning models to solve real-world problems Carrying out full data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and AI techniques to generate actionable insights Contributing to experimental research, model prototyping, and A/… B testing Presenting findings clearly to both technical and non-technical stakeholders Collaborating across data science, engineering, and product teams to build scalable solutions Staying current with advancements in machine learning and AI, and contributing new ideas to internal R&D discussions What We’re Looking For: A recently completed Master’s degree from a Russell Group university in More ❯

expertise with C# .Net, ASP.Net development You have a strong knowledge of databases (SQL or Oracle) You're comfortable with JavaScript/React You have a thorough knowledge of Computer Science fundamentals such as OOP, Design Patterns, Data Structures, Algorithms You are collaborative with excellent communication and stakeholder management skills You are degree educated in Computer Science More ❯

and execution. They combine technical expertise with deep commercial insight and specialise in Paid Search (PPC), Conversion Rate Optimisation (CRO), and Data Engineering. Responsibilities: Own and shape the data science function, setting standards for excellence in machine learning, optimisation, predictive analytics, and experimentation. Lead high-impact projects across areas like customer segmentation, CLV modelling, bidding optimisation, and advanced measurement … techniques. Work closely with marketing specialists, analysts, and engineers to deliver end-to-end performance marketing solutions. Apply data science expertise to solve real-world digital marketing challenges, driving smarter budget allocation and measurable outcomes for clients. Requirements: Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field Proficient in Python (core More ❯

software engineering experience with both Python and C++ You have a good knowledge of analytics and Risk for one or more financial products You have a strong knowledge of Computer Science fundamentals such as OOP, Data Structures, Design Patterns, Algorithms You have experience within a similar financial trading systems environment You are collaborative with excellent communication skills You … are degree educated in Computer Science or similar STEM discipline, having achieved a 2.1 or above from a Russel Group university What's in it for you: As a Backend Software Engineer you will receive a competitive package: Salary to £135k Bonus A range of flexible benefits including Health and Dental care, Critical Illness cover, Employee Assistance Programme More ❯

expertise with C# .Net, ASP.Net development You have a strong knowledge of databases (SQL or Oracle) You're comfortable with JavaScript/React You have a thorough knowledge of Computer Science fundamentals such as OOP, Design Patterns, Data Structures, Algorithms You are collaborative with excellent communication and stakeholder management skills You are degree educated in Computer Science More ❯

and grow even further Working heavily with price comparison websites and making sure they are the most competitive on the market right now Requirements: Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field Proficient in Python (core skill), with strong experience in SQL Strong technical expertise in AI/ML and advanced More ❯

and grow even further Working heavily with price comparison websites and making sure they are the most competitive on the market right now Requirements: Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field Proficient in Python (core skill), with strong experience in SQL Strong technical expertise in AI/ML and advanced More ❯

Junior Quantitative Researchers to be responsible for end-to-end strategy research. This is an excellent opportunity for PhD and Master’s graduates with a background in mathematics, statistics, computer science or a related field. Successful candidates will work in a collaborative environment where they will gain exposure to the full research pipeline from the front office while … backtesting and monitoring of strategies in live trading. Requirements: The ideal candidate will have a Master's or PhD in a numerate field of study, such as Mathematics, Physics, Computer Science, or Engineering. Excellent coding ability in at least one language. Previous successful candidates are proficient users of Python, C++, Java, MATLAB, etc. Experience/knowledge of finance More ❯

apply state-of-the-art language models to extract relevant information and integrate academic insights on the validity of measures. Collaborate with Scientific Beta’s domain experts in investment science to ensure the developed metrics are relevant to investment decisions and aligned with economic principles. Communicate complex NLP methodologies to non-technical audiences and contribute to Scientific Beta’s … analysis to financial data. • Excellent communication and collaboration skills. • Experience working with large text datasets in financial applications would be an advantage. • Advanced degree (MSc. or Ph.D.) in Data Science, Computer Science, Computational Linguistics or a related quantitative field with a focus on NLP/ML techniques. More ❯

development lifecycle and system integration is desirable. Proficiency in cryptography programming, nShield HSM (Hardware Security Module) Proficient in application development and databases. Desirable background/skills:- Degree holder in Computer Science, Computer Engineering, or related disciplines is desirable. If you are an ambitious PKI Engineer who is ready to take the next step in your career, working More ❯

performance, identify constraints and work towards implementing improvements through Risk Management Communicating project status and issues to senior management Qualifications: Bachelor's degree in a technical field such as computer science, computer engineering or a related field required. MBA or other related advanced degree preferred. PMP or PMI certification Proven project management experience delivering network technologies Matrix More ❯

Director of Data Science/Machine Learning London - 3 days a week Up to £160,000 About the Company We’re working with a next-generation private markets firm that is redefining value creation by combining deep industry expertise with advanced AI and data science. This is a unique opportunity to join a company that partners directly with portfolio … companies to drive measurable operational and financial performance—powered by data. They’re now hiring a Director of Data Science to lead high-impact analytics and machine learning projects across a wide variety of real-world domains. Working closely with a multidisciplinary team, you’ll have the autonomy to shape technical approaches while staying closely tied to commercial outcomes. … This role is ideal for someone who enjoys solving complex, ambiguous business problems using data science, and wants to work at the intersection of technology, investment, and strategy. Key Responsibilities Translate complex business problems into measurable data science solutions that deliver commercial value Lead the design, development, and deployment of predictive and optimisation models across multiple industries Own More ❯

succeed. A person who wants to make a difference. Required Knowledge and experience Technical skills: Confident user of MSTeams Strong applied experience in machine learning and/or data science roles Solid understanding of MLOps and production deployment practices Experience with Python and core ML libraries (e.g., Scikit-learn, Pandas, PyTorch, TensorFlow) Familiarity with cloud platforms and data infrastructure … ability to adapt content and delivery style to different audience levels. Additional ideal technical skills required Digital engagement tools (menti/Miro/Whiteboarding etc) Degree or higher in Computer Science, Engineering, Maths, Data Science or a related field (desirable) Relevant certifications (e.g., Google Professional ML Engineer, Microsoft AI Engineer, AWS Machine Learning Specialty) are a bonus More ❯

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 in data modeling More ❯

augment our SAAS offerings. Assist in the planning and execution of our AI Roadmap, aligning short-term activities and long-term vision. Qualifications Master’s degree in Management, Engineering, Computer Science, Data Science, AI or a related field. 2-4 years of experience in the Consulting industry and/or in SaaS or Enterprise software. Strong analytical 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 coding 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 … 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). Strong coding skills More ❯

transformation, innovation, and AI. As part of this, we're recruiting a Lead Product Engineer to help shape and deliver scalable products that sit at the intersection of data science, software engineering, and DevOps. If you’re a technically curious builder with a track record of delivering software into production - and you're ready to take the lead in … next step in your career. Key Responsibilities Lead the development of innovative digital products from concept through to production Design and build scalable, containerised software solutions that incorporate data science components Make architectural decisions around tooling, frameworks, and development approaches Work with DevOps practices including Docker, Terraform, and cloud deployment (Azure preferred) Collaborate closely with cross-functional teams including … product managers, data scientists, and business stakeholders Mentor and support junior engineers, helping to grow technical capability within the team Stay up-to-date with developments in data science and AI (e.g., LLMs, agentic AI), and integrate this thinking into product delivery Communicate clearly and confidently to both technical and non-technical audiences Ideal Candidate Profile Technical Experience More ❯

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 and large-scale … 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 ❯

logistics exposure desirable but not essential. Track record: Successful delivery of complex system integrations (EDI/API) and customer‐facing web applications; exposure to AI/ML or data‐science‐driven products. Education: Bachelor’s in Computer Science, Information Systems, Engineering, or related field (Master’s preferred). Certifications: PMP, PRINCE2, or Agile/Scrum (CSM/ 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 … 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 More ❯