26 to 50 of 123 Computer Science Jobs in the City of London

data pipelines and storage solutions. • Stay up to date with emerging technologies and recommend improvements to the data platform. Required Skills & Qualifications: • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. • 10+ years of experience in data engineering. • Strong hands-on experience with AWS services: S3, Glue, Lake Formation, Athena, Redshift, Lambda, IAM, CloudWatch. More ❯

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 … just as comfortable in Python as you are in a boardroom, and you’re motivated by measurable impact, not just model accuracy. Requirements: 5+ years of experience applying data science in commercial settings Proven ability to lead data science projects from concept to production Strong Python skills (including libraries like Pandas, NumPy, Scikit-learn); experience with other languages … product leads, and client stakeholders Experience with A/B testing and causal inference methodologies Bachelor’s or Master’s degree in a quantitative field (e.g., Mathematics, Physics, Engineering, Computer Science) Excellent communication skills and a collaborative mindset Example Projects You Might Work On Optimisation models to increase manufacturing throughput Predictive models for asset maintenance and downtime reduction More ❯

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 ❯

Data Scientist – Leading Data Science & Analytics Firm (UK) Location: London (Hybrid) Sector: Data Science/AI/Machine Learning Salary: £65,000 + Benefits We are working with a rapidly growing UK-based data science company that leverages advanced AI and predictive analytics to deliver actionable insights across a range of industries. Their proprietary solutions are designed … engineering teams to maintain data quality and scalability Communicating technical concepts effectively to non-technical stakeholders Visualising complex data through dashboards and reporting tools Ensuring compliance and ethical data science practices About You 3+ years of experience with data scripting languages (e.g., Python, SQL) 2+ years in a Data Scientist role with proven experience in AI/ML Strong … academic background in a quantitative discipline (Statistics, Mathematics, Computer Science, etc.) Experience in data extraction, manipulation, and analysis from multiple sources Proficiency in modern programming practices and collaborative coding Passion for working in fast-paced, high-growth environments (start-up/scale-up experience is a plus) Excellent communication skills and ability to work in multidisciplinary teams What More ❯

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 CI/CD More ❯

Python or C# Strong front-end experience (React, Vue, Angular - your choice) Cloud architecture know-how (AWS, Azure, GCP - any flavour works) Solid understanding of relational databases Background in Computer Science, Engineering, Maths, or similar Experience in a start-up, greenfield, or high-autonomy team environment Passionate problem-solver with a bias for ownership and impact Bonus Points More ❯

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 ❯

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 experience with Python 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 ❯

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 SQL More ❯

instrumentation strategies to improve analytics capabilities. Stay hands-on with modelling and analysis while providing realistic guidance to keep projects focused and achievable. 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 a fast-paced More ❯

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 a fast-paced More ❯

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 data manipulation and More ❯

classes e.g. Fixed Income, Equities You're familiar with RESTful APIs, UI development and cloud computing You have excellent communication and stakeholder management skills You're degree educated in Computer Science or similar discipline What's in it for you: As a Senior C# Developer/Software Engineer you will earn a competitive package: Salary to £140k + More ❯

Proficiency with a modern JS front end framework (React, Vuejs, Angular) Experience with cloud architecture (Azure, AWS or GCP) In depth knowledge of relational database Degree in Maths, Engineering, Computer Science or related Proven experience building scalable systems/applications in start ups OR greenfield projects in a larger org (eg start up like team incubated in larger More ❯

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, having a deep More ❯

to solve complex problems in a fast-paced environment. Organizational Skills : Exceptional organizational skills and the ability to handle multiple projects simultaneously. Education : Bachelor’s degree in Information Technology, Computer Science, or a related field. A master’s degree or project management certification (e.g., PMP, PRINCE2) is a plus. 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 monitoring More ❯

+ Benefits Our client is a precision marketing agency, leveraging data, technology, and creativity to fuel client growth. As part of their Marketing Sciences Data Science Team, you’ll play a pivotal role in revolutionising marketing strategies through cutting-edge Data Science and Machine Learning solutions. This is still a largely hands on role, with around 20% team … leadership. What You’ll Do Oversee data science projects, guide junior team members, and drive innovation. Build predictive models for campaign optimisation, customer segmentation, and price elasticity. Design and implement AI-powered solutions to solve complex marketing challenges. Use machine learning and statistical techniques to analyse trends and improve business outcomes. Work with cross-functional teams and present insights … to technical and non-technical stakeholders. What We’re Looking For A strong academic background in Computer Science, Mathematics, Physics, or a related field. Proven experience in machine learning applications such as recommendations, segmentation, forecasting, and marketing spend optimisation. Proficiency in Python, SQL, and Git, with hands-on experience in tools like Jupyter notebooks, Pandas, and PyTorch. Expertise More ❯

North London (2 days per week) Company: Join the UK’s leading provider of family seaside breaks, with over 40 award-winning holiday locations. You will join a Data Science team that’s helping shape the future of holidays, from optimising guest experiences and pricing strategies to streamlining operations and personalising marketing. Responsibilities: Apply traditional statistical techniques and mathematical … concepts to business problems. Build and maintain advanced decision science algorithms and tools. Present data insights to stakeholders in a clear and concise manner. Stay up to date with the latest industry trends and technologies. Contribute to analytics innovation and integration within the organisation. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or … related fields. Strong coding skills in Python and SQL Experience in automation and optimisation/pricing-related projects A generalist data science background, comfortable working across different domains and problem types Strong commercial acumen **Please note that this role does not offer visa sponsorship** How to Apply: Please register your interest by sending your CV to Emily Burgess via More ❯

and integration potential of new AI solutions. - Maintain expertise in the field, with a particular focus on the scientific evidence supporting emerging AI technologies and their applicability to healthcare. • Science-Based Innovation: - Partner with leading research institutions, universities, and technology providers to conduct joint due diligence on promising AI vendors and technologies, and to explore opportunities for collaborative research … a holistic approach to AI implementation across diverse areas of the organization to make better decisions. Minimum Qualifications: - Ph.D. or equivalent doctoral degree in a relevant field, such as Computer Science, Artificial Intelligence, Data Science, Biomedical Engineering, Bioinformatics, or a related discipline. - 10+ years of experience in AI-related research and development, with at least 5+ years … track record of translating scientific research into practical applications and strategic recommendations in a healthcare setting. - Strong understanding of various AI techniques (machine learning, deep learning, natural language processing, computer vision, etc.). - Demonstrated experience in translating research insights into practical applications with measurable real-world impact. - Excellent communication and presentation skills with the ability to effectively communicate complex More ❯

initiatives to shape the long-term scientific vision. Own and actively contribute to the design and development of internal machine learning and forecasting libraries. Work with product and data science management to develop key results for given product objectives. Establish scalable and efficient practices for data mining, ML model development, validation and inference. Building demand forecasting models Stay up … to-date on the most recent advances in AI and machine learning Requirements: MSc Degree in Computer Science, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment. Commercial experience in demand forecasting **Please note that this role does not offer More ❯

and maximise the value of their customer base. Responsibilities: Create scalable solutions to solve real-world challenges like demand forecasting, personalisation, and customer segmentation Translate business problems into data science use cases and deliver measurable outcomes Apply clustering, classification, regression, time series modelling, NLP, and deep learning. Develop recommendation engines and leverage third-party data enhancements. Collaborate with stakeholders … to translate business challenges into data-driven solutions Reporting back and presenting to non-technical clients Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Communication skills – able to translate complex insights into business value Strong experience with clustering, time-series forecasting, and regression techniques. More ❯

Stay updated on emerging technologies, trends, to recommend and implement innovative solutions that drive business value. Remaining technically very hands on whilst mentoring 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 a fast-paced … collaborative environment. How to Apply: Please register your interest by sending your CV to Emily Burgess via the Apply link on this page. Keywords: Machine Learning, Data Science, start-up, Investment, Equity More ❯

/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 Azure SQL. Our More ❯