251 to 275 of 1,250 Computer Science Jobs in England

ASP.NET Core, .NET 6/7) Integrate AI/ML models into production applications using APIs or custom implementations Collaborate with data scientists to implement AI solutions (e.g., NLP, computer vision, predictive analytics) Optimize application performance and scalability Write clean, maintainable, and testable code Participate in code reviews and provide constructive feedback Maintain documentation for AI integration and software … model deployment Experience with unit testing, CI/CD, and version control (Git) Strong problem-solving skills and attention to detail Preferred Qualifications: Experience in Natural Language Processing (NLP), computer vision, or recommendation systems Knowledge of DevOps practices for AI model deployment Familiarity with containerization (Docker/Kubernetes) Experience with real-time data processing and analytics Education: Bachelor’s … or Master’s degree in Computer Science, Software Engineering, AI, or related field Soft Skills: Strong communication and collaboration skills Ability to learn and adapt quickly in a fast-paced environment Critical thinking and analytical mindset Benefits: Competitive salary and performance bonuses Flexible working hours/hybrid options in London Learning and development opportunities in AI and cloud More ❯

ASP.NET Core, .NET 6/7) Integrate AI/ML models into production applications using APIs or custom implementations Collaborate with data scientists to implement AI solutions (e.g., NLP, computer vision, predictive analytics) Optimize application performance and scalability Write clean, maintainable, and testable code Participate in code reviews and provide constructive feedback Maintain documentation for AI integration and software … model deployment Experience with unit testing, CI/CD, and version control (Git) Strong problem-solving skills and attention to detail Preferred Qualifications: Experience in Natural Language Processing (NLP), computer vision, or recommendation systems Knowledge of DevOps practices for AI model deployment Familiarity with containerization (Docker/Kubernetes) Experience with real-time data processing and analytics Education: Bachelor’s … or Master’s degree in Computer Science, Software Engineering, AI, or related field Soft Skills: Strong communication and collaboration skills Ability to learn and adapt quickly in a fast-paced environment Critical thinking and analytical mindset Benefits: Competitive salary and performance bonuses Flexible working hours/hybrid options in London Learning and development opportunities in AI and cloud More ❯

ASP.NET Core, .NET 6/7) Integrate AI/ML models into production applications using APIs or custom implementations Collaborate with data scientists to implement AI solutions (e.g., NLP, computer vision, predictive analytics) Optimize application performance and scalability Write clean, maintainable, and testable code Participate in code reviews and provide constructive feedback Maintain documentation for AI integration and software … model deployment Experience with unit testing, CI/CD, and version control (Git) Strong problem-solving skills and attention to detail Preferred Qualifications: Experience in Natural Language Processing (NLP), computer vision, or recommendation systems Knowledge of DevOps practices for AI model deployment Familiarity with containerization (Docker/Kubernetes) Experience with real-time data processing and analytics Education: Bachelor’s … or Master’s degree in Computer Science, Software Engineering, AI, or related field Soft Skills: Strong communication and collaboration skills Ability to learn and adapt quickly in a fast-paced environment Critical thinking and analytical mindset Benefits: Competitive salary and performance bonuses Flexible working hours/hybrid options in London Learning and development opportunities in AI and cloud More ❯

ASP.NET Core, .NET 6/7) Integrate AI/ML models into production applications using APIs or custom implementations Collaborate with data scientists to implement AI solutions (e.g., NLP, computer vision, predictive analytics) Optimize application performance and scalability Write clean, maintainable, and testable code Participate in code reviews and provide constructive feedback Maintain documentation for AI integration and software … model deployment Experience with unit testing, CI/CD, and version control (Git) Strong problem-solving skills and attention to detail Preferred Qualifications: Experience in Natural Language Processing (NLP), computer vision, or recommendation systems Knowledge of DevOps practices for AI model deployment Familiarity with containerization (Docker/Kubernetes) Experience with real-time data processing and analytics Education: Bachelor’s … or Master’s degree in Computer Science, Software Engineering, AI, or related field Soft Skills: Strong communication and collaboration skills Ability to learn and adapt quickly in a fast-paced environment Critical thinking and analytical mindset Benefits: Competitive salary and performance bonuses Flexible working hours/hybrid options in London Learning and development opportunities in AI and cloud More ❯

ASP.NET Core, .NET 6/7) Integrate AI/ML models into production applications using APIs or custom implementations Collaborate with data scientists to implement AI solutions (e.g., NLP, computer vision, predictive analytics) Optimize application performance and scalability Write clean, maintainable, and testable code Participate in code reviews and provide constructive feedback Maintain documentation for AI integration and software … model deployment Experience with unit testing, CI/CD, and version control (Git) Strong problem-solving skills and attention to detail Preferred Qualifications: Experience in Natural Language Processing (NLP), computer vision, or recommendation systems Knowledge of DevOps practices for AI model deployment Familiarity with containerization (Docker/Kubernetes) Experience with real-time data processing and analytics Education: Bachelor’s … or Master’s degree in Computer Science, Software Engineering, AI, or related field Soft Skills: Strong communication and collaboration skills Ability to learn and adapt quickly in a fast-paced environment Critical thinking and analytical mindset Benefits: Competitive salary and performance bonuses Flexible working hours/hybrid options in London Learning and development opportunities in AI and cloud More ❯

or LLM endpoints. Gather and elicit model requirements from defined use cases to enable agile development, rapid feedback loops, and continuous iteration across the delivery lifecycle. Collaboration with Data Science and Engineering Teams Define model specifications, input/output schemas, and security constraints suitable for self-contained deployment. Ensure models are lightweight, auditable, and performant in resource-constrained or … candidate will possess the following skills, abilities and experience: 3+ years of product management or product ownership experience, ideally in AI/ML or data-driven products. Degree in Computer Science, Engineering, Data Science, or a related field. Solid understanding of AI/ML concepts, pipelines, and constraints. Experience working closely with data science and engineering More ❯

transformation, innovation, and AI. As part of this, we're recruiting a Lead Data Scientist 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 ❯

transformation, innovation, and AI. As part of this, we're recruiting a Lead Data Scientist 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 ❯

CD pipelines for streamlined software delivery. Machine Learning/AI: Basic understanding of AI and machine learning concepts. Database: Understanding NoSQL databases. Numerate Degree Qualification You should possess a computer science degree or other degree with a large component of computer numeracy. Relevant in-role experience is acceptable in the absence of a formal qualification. Industry experience More ❯

Trends: Keep up-to-date with emerging technologies and industry best practices. Integrate relevant advancements into the company's technology stack. Qualifications: Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field. Experience: Minimum of 7 years of professional experience in software development. At least 3 years in a system architect or senior More ❯

on early-stage software and a wide range of tasks. Proven experience using technology and how it helped you build a lasting product. Preferred M.Sc or Ph.d degree in Computer Science or a related field. 7+ years of experience in software development. Work experience using both compiled languages (Rust, OCaml, Golang, Java, C#) or dynamic languages (JavaScript, Python More ❯

explore new tools and cloud native technologies (e.g. AWS, GCP, Snowflake, Databricks) under the guidance of senior team members Key Skills and Experience required - A strong academic background in Computer Science, Engineering, Data Science, or a related technical discipline Proficiency in Java or Python Strong written and verbal communication skills Proactive learner with the ability to self More ❯

Technologies. Oversee deployment of advanced analytics tools, predictive analytics, machine learning and gen AI tech with the view of delivering actionable insights and enhancing products. Experience required: Bachelors in Computer Science, Data Science, Information Technology or related studies. Extensive Data Management, analytics and similar leadership experience ideally across Legal, Insurance, or Financial Services industries. Proven track record More ❯

Maintain and improve test environments, plans, and cases. Identify test cases suitable for automation and collaborate with automation engineers to implement them. About You Essential: Strong academic background in science, technology, computer science, or engineering. At least 2 years’ experience in system-level testing or hardware/software integration. Analytical troubleshooting skills and attention to detail. Experience More ❯

in a client facing role Integration or Support Knowledge of financial markets, companies, and products (Equity, Fixed Income, Derivatives, Algorithmic Trading, Credit, FX, Volatility, etc.) DEC or Bachelor in Computer Science or computer engineering or matching technical skills Technical Skills Good working knowledge of and experience with: Linux shell, Perl FIX, FIXML XML/ATDL Networking/ More ❯

in a client facing role Integration or Support Knowledge of financial markets, companies, and products (Equity, Fixed Income, Derivatives, Algorithmic Trading, Credit, FX, Volatility, etc.) DEC or Bachelor in Computer Science or computer engineering or matching technical skills Technical Skills Good working knowledge of and experience with: Linux shell, Perl FIX, FIXML XML/ATDL Networking/ More ❯

Ansible) for efficient maintenance. Plan and execute disaster recovery testing. Create documentation and provide training on Starburst administration and best practices. Qualifications: Required Skills & Experience: Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering or related field (or equivalent work experience). Proven experience with Trino/Starburst Enterprise/Galaxy administration/CLI. Implementation More ❯

Ansible) for efficient maintenance. Plan and execute disaster recovery testing. Create documentation and provide training on Starburst administration and best practices. Qualifications: Required Skills & Experience: Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering or related field (or equivalent work experience). Proven experience with Trino/Starburst Enterprise/Galaxy administration/CLI. Implementation More ❯

product direction and client strategy. Ensure all AI solutions adhere to legal, ethical, and compliance standards specific to the financial industry. Qualifications: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Extensive experience leading AI-driven projects in financial services (banking, capital markets, or insurance). Deep expertise in More ❯

visualization tools (e.g., Tableau, Power BI). Knowledge of machine learning concepts and their application in software development. Experience with DevOps practices and tools. Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field. 7 10 years of experience in software development with a focus on data architecture. Strong problem solving skills and the ability More ❯

visualization tools (e.g., Tableau, Power BI). Knowledge of machine learning concepts and their application in software development. Experience with DevOps practices and tools. Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field. 7 10 years of experience in software development with a focus on data architecture. Strong problem solving skills and the ability More ❯

visualization tools (e.g., Tableau, Power BI). Knowledge of machine learning concepts and their application in software development. Experience with DevOps practices and tools. Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field. 7 10 years of experience in software development with a focus on data architecture. Strong problem solving skills and the ability More ❯

improve the QA process and contribute to the development of testing best practices. Qualifications: Minimum 7+ years of technical experience with a bachelor's or master's degree in science (preferably Computer Science, Engineering, or other related disciplines). Must have hands-on testing experience in iOS and Android mobile platforms by leveraging various functional and automated 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 ❯

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 ❯