76 to 100 of 644 Computer Science Jobs in Central London

AI, Azure ML). Strong understanding of data engineering, data pipelines, and ETL workflows. Excellent problem-solving, communication, and stakeholder engagement skills. Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or related field. Luxoft is committed to fostering a diverse and inclusive workplace. We show fairness to all throughout our talent More ❯

the ability to inspire, engage, partner with, and influence senior leadership Excellent verbal and written communication skills Digitally-savvy and well-informed on innovations, trends, and technologies Degree in Computer Science, Data Science, Analytics, or related field or equivalent work experience preferred If you are ready to take on a challenging role as a multi-solution platform More ❯

the ability to inspire, engage, partner with, and influence senior leadership Excellent verbal and written communication skills Digitally-savvy and well-informed on innovations, trends, and technologies Degree in Computer Science, Data Science, Analytics, or related field or equivalent work experience preferred If you are ready to take on a challenging role as a multi-solution platform More ❯

Data Science Manager Up to £85,000 Join a fintech platform revolutionising workplace savings and pensions by making sustainable investing simple for both employees and employers. They’re right where finance, tech, and wellbeing meet with backing from a major bank but the feel of fintech innovation. Responsibilities: Stay hands-on while advising business leaders on data-driven decisions. … models. Build and optimize customer lifetime value and key metric models. Continuously improve analytics and model accuracy. Lead and contribute to scalable model deployment in production. Requirements: MSc in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Experience in Consumer/Marketing Analytics Strong proficiency in Python and experience with relevant ML libraries/frameworks. Please note More ❯

Data Science Manager Up to £85,000 Join a fintech platform revolutionising workplace savings and pensions by making sustainable investing simple for both employees and employers. They’re right where finance, tech, and wellbeing meet with backing from a major bank but the feel of fintech innovation. Responsibilities: Stay hands-on while advising business leaders on data-driven decisions. … models. Build and optimize customer lifetime value and key metric models. Continuously improve analytics and model accuracy. Lead and contribute to scalable model deployment in production. Requirements: MSc in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Experience in Consumer/Marketing Analytics Strong proficiency in Python and experience with relevant ML libraries/frameworks. Please note More ❯

growing Data & Innovation team within a fast-scaling AI-driven organisation. You’ll work with a wide variety of cross-channel digital signals, leveraging advanced Machine Learning, NLP, and Computer Vision techniques to uncover powerful consumer insights. These insights will shape media, marketing, influencer, and creative strategies, helping clients capture market share and build deeper connections with their customers. … Key Responsibilities Combine and analyse large, complex datasets (structured and unstructured) to extract consumer insights. Apply Machine Learning, NLP, and Computer Vision methods to develop innovative products and solutions. Prototype and validate new technical ideas, bringing cutting-edge research into production. Work with clients to translate insights into actionable strategies that drive growth. Implement production-level coding practices, including … in Consumer or Marketing Analytics, with passion for digital, social, and mobile media. Proven experience applying ML/statistical methodologies to large datasets (>1TB). Experience building NLP and Computer Vision products with engaged user bases. Knowledge of open-source NLP & CV libraries and ability to apply the latest research into real-world applications. Skilled in explaining technical findings More ❯

growing Data & Innovation team within a fast-scaling AI-driven organisation. You’ll work with a wide variety of cross-channel digital signals, leveraging advanced Machine Learning, NLP, and Computer Vision techniques to uncover powerful consumer insights. These insights will shape media, marketing, influencer, and creative strategies, helping clients capture market share and build deeper connections with their customers. … Key Responsibilities Combine and analyse large, complex datasets (structured and unstructured) to extract consumer insights. Apply Machine Learning, NLP, and Computer Vision methods to develop innovative products and solutions. Prototype and validate new technical ideas, bringing cutting-edge research into production. Work with clients to translate insights into actionable strategies that drive growth. Implement production-level coding practices, including … in Consumer or Marketing Analytics, with passion for digital, social, and mobile media. Proven experience applying ML/statistical methodologies to large datasets (>1TB). Experience building NLP and Computer Vision products with engaged user bases. Knowledge of open-source NLP & CV libraries and ability to apply the latest research into real-world applications. Skilled in explaining technical findings More ❯

operational performance across thousands of venues. Lead projects end-to-end, from data design and modelling through to validation, deployment, and monitoring. Develop AI systems across areas such as computer vision, forecasting, optimisation, and emerging generative or agentic models. Partner with engineers to design scalable ML pipelines, APIs, and real-time infrastructure. About you: Background in Computer Science, Mathematics, Data Science, or AI (Master’s or PhD preferred). 5+ years’ experience developing and deploying ML models in production environments. Strong Python skills, with experience in frameworks like PyTorch, TensorFlow, or Hugging Face. Confident working in AWS or similar cloud environments (SageMaker, Lambda, Docker, etc.). Experienced in (or eager to explore) areas such as forecasting … optimisation, reinforcement learning, generative AI, or computer vision. Solid engineering mindset, you know how to take models from research to production and keep them running reliably. Curious, proactive, and excited to work in a fast-moving environment where AI drives everything we do. Ready to build AI that transforms how real-world operations run? Apply now and help shape More ❯

high-quality solutions on schedule. Continuous Improvement: Stay ahead of industry trends, introducing innovative tools and technologies to enhance development efficiency. Qualifications and Key Skills Education: Bachelor’s in Computer Science or related field from a Tier 1 university. Experience: Minimum of 4 years of full-time professional experience in software development, with strong expertise in TypeScript, ReactJS … proactive and solution-oriented mindset. Soft Skills: Excellent communication, organisational skills, and the ability to work independently or within a team. Preferred Qualifications Advanced Degrees: Master’s in Data Science or Software Engineering. Cloud & DevOps: Experience with AWS cloud services, Terraform, Docker, Kubernetes Agile/DevOps: Experience with Agile methodologies, CI/CD pipelines, and project management tools (Jira … free Cognitive Behavioural Therapy (CBT) sessions and free annual subscriptions to mindfulness apps like Headspace. Retirement : We contribute 3% to your pension, for every 5% you contribute. Powerful computer to work from your home. Cycle to work scheme. Flexible Working Options : hybrid setting (3 days in the office) Online Filings is an equal opportunity employer. We celebrate diversity and More ❯

high-quality solutions on schedule. Continuous Improvement: Stay ahead of industry trends, introducing innovative tools and technologies to enhance development efficiency. Qualifications and Key Skills Education: Bachelor’s in Computer Science or related field from a Tier 1 university. Experience: Minimum of 4 years of full-time professional experience in software development, with strong expertise in TypeScript, ReactJS … proactive and solution-oriented mindset. Soft Skills: Excellent communication, organisational skills, and the ability to work independently or within a team. Preferred Qualifications Advanced Degrees: Master’s in Data Science or Software Engineering. Cloud & DevOps: Experience with AWS cloud services, Terraform, Docker, Kubernetes Agile/DevOps: Experience with Agile methodologies, CI/CD pipelines, and project management tools (Jira … free Cognitive Behavioural Therapy (CBT) sessions and free annual subscriptions to mindfulness apps like Headspace. Retirement : We contribute 3% to your pension, for every 5% you contribute. Powerful computer to work from your home. Cycle to work scheme. Flexible Working Options : hybrid setting (3 days in the office) Online Filings is an equal opportunity employer. We celebrate diversity and 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 … You’re just as comfortable in Python as you are in a boardroom, and you’re motivated by measurable impact, not just model accuracy. Requirements: Proven experience applying data science in commercial settings Proven ability to lead data science projects from concept to production Deep understanding of statistical modelling, predictive analytics, and optimisation techniques Comfortable working with cross … functional teams, including engineers, product leads, and client stakeholders Bachelor’s or Master’s degree in a quantitative field (e.g., Mathematics, Physics, Engineering, Computer Science) from a strong university Excellent communication skills and a collaborative mindset Please note: This role cannot offer VISA sponsorship More ❯

the use of new data techniques, best practices, and tools standardized by the Data Center of Excellence you’d need to succeed: Background (6-8 years+) in Marketing, Statistics, Computer Science, Information Science, Engineering, or related quantitative field In-depth experience with all things data including the ability to work with a variety of datasets from multiple More ❯

support the use of new data techniques, best practices, and tools standardized by the Data Center of Excellence youd need to succeed: Background (6-8 years+) in Marketing, Statistics, Computer Science, Information Science, Engineering, or related quantitative field In-depth experience with all things data including the ability to work with a variety of datasets from multiple More ❯

Kondor+ . Exposure to cloud technologies (e.g., AWS , Azure ) and containerisation (e.g., Docker , Kubernetes ). Understanding of regulatory frameworks (e.g., MiFID II , EMIR ). Education: Bachelor’s degree in Computer Science, Engineering, Finance, or a related field. Relevant certifications (e.g., CFA, FRM, AWS Developer) are a plus. More ❯

or Kondor+ . Exposure to cloud technologies (e.g., AWS , Azure ) and containerisation (e.g., Docker , Kubernetes ). Understanding of regulatory frameworks (e.g., MiFID II , EMIR ). Education: Bachelors degree in Computer Science, Engineering, Finance, or a related field. Relevant certifications (e.g., CFA, FRM, AWS Developer) are a plus. More ❯

documentation for all developed features and integrations. Support: Provide technical support and guidance to end-users and stakeholders. Required Qualifications Educational Background: Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field. Technical Skills: Proficiency in programming languages such as C# , Python , or JavaScript . Experience with Microsoft Azure , AI , and machine learning More ❯

clear, comprehensive documentation for all developed features and integrations. Support: Provide technical support and guidance to end-users and stakeholders. Required Qualifications Educational Background: Bachelors or Masters degree in Computer Science, Software Engineering, or a related field. Technical Skills: Proficiency in programming languages such as C# , Python , or JavaScript . Experience with Microsoft Azure , AI , and machine learning More ❯

and deployment standards. Help shape the long-term technical strategy and development roadmap. Manage a team of developers and QA engineers. What you’ll bring Bachelor’s degree in Computer Science or related STEM field (or equivalent experience). 10+ years of hands-on experience developing with C#/.NET in production environments. Strong command of SQL and More ❯

and deployment standards. Help shape the long-term technical strategy and development roadmap. Manage a team of developers and QA engineers. What you’ll bring Bachelor’s degree in Computer Science or related STEM field (or equivalent experience). 10+ years of hands-on experience developing with C#/.NET in production environments. Strong command of SQL and More ❯

Facilitate communication, partnerships, and cross-pollination across the business to allow teams to better engage and service customers Skills & Qualifications Bachelor level higher qualification in Cyber Security, Information Systems, Computer Engineering, Computer Science, Cybersecurity or related field is preferred At least one major security certification (CISM, CISA, CISSP, ISO27001 Lead Auditor/Lead Implementer) Minimum of More ❯

Facilitate communication, partnerships, and cross-pollination across the business to allow teams to better engage and service customers Skills & Qualifications Bachelor level higher qualification in Cyber Security, Information Systems, Computer Engineering, Computer Science, Cybersecurity or related field is preferred At least one major security certification (CISM, CISA, CISSP, ISO27001 Lead Auditor/Lead Implementer) Minimum of More ❯

is a consulting firm structured around two main areas of expertise: Finance, Risk & Regulatory supporting financial institutions, insurers, and industrial companies in risk management, compliance, and quantitative modeling. Data Science, Artificial Intelligence & Blockchain designing and deploying advanced machine learning, deep learning, data engineering, and blockchain solutions across multiple industries. For over 20 years, we have been developing sophisticated algorithms … and infrastructures that leverage the full potential of data science and blockchain to address real-world challenges: quantitative modeling, business process automation, fraud detection, industrial system optimization, and predictive analytics. We work with both major corporations and SMEs across finance, banking, insurance, healthcare, and industry. Our strength lies in our R&D-driven innovation and our commitment to continuous … BI, Tableau). Experience with Python and analytical libraries such as Pandas and NumPy. Clear communication, analytical mindset, and problem-solving ability. Education & Experience Masters degree (or equivalent) in Computer Science , Mathematics , Physics , or Engineering . Proven experience (38 years) working on KDB+/Q projects, ideally within a financial or trading environment. More ❯

is a consulting firm structured around two main areas of expertise: Finance, Risk & Regulatory – supporting financial institutions, insurers, and industrial companies in risk management, compliance, and quantitative modeling. Data Science, Artificial Intelligence & Blockchain – designing and deploying advanced machine learning, deep learning, data engineering, and blockchain solutions across multiple industries. For over 20 years, we have been developing sophisticated algorithms … and infrastructures that leverage the full potential of data science and blockchain to address real-world challenges: quantitative modeling, business process automation, fraud detection, industrial system optimization, and predictive analytics. We work with both major corporations and SMEs across finance, banking, insurance, healthcare, and industry. Our strength lies in our R&D-driven innovation and our commitment to continuous … Tableau). Experience with Python and analytical libraries such as Pandas and NumPy. Clear communication, analytical mindset, and problem-solving ability. Education & Experience Master’s degree (or equivalent) in Computer Science , Mathematics , Physics , or Engineering . Proven experience (3–8 years) working on KDB+/Q projects, ideally within a financial or trading environment. More ❯

Up to £135,000 About the Company We’re working with a next-generation private markets firm that is redefining value creation by combining deep industry expertise with data science and machine learning. This is a unique opportunity to join a company that partners directly with portfolio companies to drive measurable operational and financial performance. They’re now hiring … 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 … challenges. You’re just as comfortable in Python as you are in a boardroom, and you’re motivated by measurable impact, not just model accuracy. Proven experience applying data science in commercial settings Proven ability to lead data science projects from concept to production Deep understanding of statistical modelling, predictive analytics, and optimisation techniques Comfortable working with cross More ❯

Up to £135,000 About the Company We’re working with a next-generation private markets firm that is redefining value creation by combining deep industry expertise with data science and machine learning. This is a unique opportunity to join a company that partners directly with portfolio companies to drive measurable operational and financial performance. They’re now hiring … 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 … challenges. You’re just as comfortable in Python as you are in a boardroom, and you’re motivated by measurable impact, not just model accuracy. Proven experience applying data science in commercial settings Proven ability to lead data science projects from concept to production Deep understanding of statistical modelling, predictive analytics, and optimisation techniques Comfortable working with cross More ❯