776 to 800 of 4,140 Computer Science Jobs in England

reactive, siloed systems to intelligent, autonomous and physically aware value chains. You will bring deep expertise in applied AI spanning data engineering, machine learning, computer vision, robotics integration or industrial IoT, combined with a strong appreciation for how physical supply chain, manufacturing and operations environments work. You will lead … systems, and operational adoption—to support decision-making and increasingly autonomous operations. Delivery leadership: Sponsor and lead complex, multi-disciplinary programmes spanning data science, engineering, operations technology and organisational change, maintaining focus on value realisation and client outcomes. Commercial growth: Originate and shape opportunities across industrial, consumer goods, energy ...

Numpy, Polars, Scikitlearn, Pytorch, etc. DevOps: version control, testing frameworks, release processes, build systems. Excellent communication, problem-solving, and analytical skills. Preferred ExperienceExtremely strong computer science or engineering background with 5+ years of experience. Experience designing and implementing: Distributed Systems. Real-time event-driven systems. Large-scale time … systems. Experience with systematic futures trading. Exposure to CICD-style implementation/release methodologies with a large complex codebase. Master's or PhD in Computer Science, Physics, Engineering, Statistics, Applied Mathematics, or related technical field. Additional Relevant ExperiencePrior role as a quantitative developer supporting a multi-asset systematic ...

well-documented code Work cross-functionally with product managers, designers, and other engineering teams to deliver high-quality product Minimum Qualifications BS in Computer Science, Engineering, or a related field 2+ years of relevant industry experience Proficiency in one or more programming languages (e.g., Python, C++, etc) Experience … build and deployment processes, and testing. Proven track record operating successfully in a fast-paced, collaborative environment Preferred Qualifications MS or PhD degree in Computer Science, Engineering, or a related field. 5+ years of relevant industry experience Prior experience in developing products from concept to launch Experience with ...

will bring distinctive statistical, machine learning, and AI competency to complex client problems. In this role you will support the manager of data science with the development of data science and analytics roadmap of assets across cell-level initiatives. You will deliver distinctive capabilities, models, and insights through … validity and outputs of analytics, AI/ML models and translate results for senior stakeholders, and will write optimized code to advance our Data Science Toolbox and codify analytical methodologies for future deployment. YOUR GROWTH Driving lasting impact and building long-term capabilities with our clients is not easy ...

discussions about model design and evaluation, and ensure that the resulting systems are performant, reliable, and maintainable. You will work at the intersection of Computer Science, Mathematics, and Statistics — building high-performance tools that enable world-class research while maintaining a high engineering standard. ResponsibilitiesPartner with PhD researchers … align with research and engineering stakeholders on ownership, execution, and prioritizationFoster engineering consistency, standards, and best practices within ResearchRequirementsBachelor's degree (or higher) in Computer Science, Applied Mathematics, Statistics, or a related quantitative field5+ years of professional software engineering experience, with strong CS fundamentals (data structures, algorithms, systems ...

your data science and AI expertise to work on challenges that strengthen a global firm and create real-world impact. You will help design and deliver transformative AI and advanced analytics solutions that can be adopted at scale. You will collaborate closely with Product, Engineering, and business partners … enjoy turning ideas into resilient products and improving how models perform over time, this role offers meaningful growth and visibility. As an Associate, Data Science in the Data Science team within Risk Management and Compliance, you will explore, pilot, and implement impactful AI solutions in partnership with Product ...

existing environment and constraints. Develop architecture blueprints covering model development, data pipelines, deployment frameworks, and system integrations — with a strong focus on GenAI, NLP, computer vision, and multimodal AI applications. Leverage deep knowledge of AI/ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) and enterprise architecture best practices (e.g. … define technical requirements and deliver value‐driven solutions, facilitating clear and actionable communication of complex AI concepts. Required Qualifications: Bachelor's degree in Computer Science, Engineering, Mathematics, or related field 7–10 years of experience in solution architecture, software engineering, or related technical roles, with 4–5 years ...

frameworks, and the ability to quickly learn and adapt. We encourage you to apply for this position if you have: A degree in Computer Science or a closely related field (Bachelor’s or higher), with a strong grasp of core computer science concepts such as memory … Python , which shares syntax with Starlark (our embedded scripting language) and is commonly used to prototype models A strong interest or background in data science , machine learning, statistical analysis, or natural language processing is a plus — especially as applied to behavioral analytics and anomaly detection — but this is primarily ...

test environments so application codebases and underlying infrastructure are well understood and documented.**Academic and Professional Qualifications Required:**Preferred - Bachelors or Master’s Degree (Computer Science or Related Degree, Maths or Physics also considered)**Required Knowledge and Level of Experience:*** Degree in Computer Science ...

place London, UK X In most instances, this position requires in-person interviews as part of the hiring process. Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience. 10 years of experience coding with one or more programming languages (e.g., Java, C/… C++, Python). Experience in technical leadership, including leading business transformation initiatives. Preferred qualifications: Master’s degree in Engineering, Computer Science, Business, or a related field. Experience in an analytical role such as business intelligence, data analytics, or statistics. Experience working with database technologies (e.g., SQL, NoSQL). ...

where your enthusiasm to take on new problems and learn will have an immediate impact. BASIC QUALIFICATIONSBachelor's degree or relevant work experience in Computer Science, Mathematics, Electrical Engineering or related technical discipline. Excellent object oriented or functional analysis and design skills. Knowledge of data structures, algorithms … databases such as MongoDb and Elastic Search. Preferred QualificationsKnowledge or interest in trading technologies in the front-office of a trading organizationB.S. or M.S. Computer Science or Related field. ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders ...

Product Director, DevOps & CMO PerformanceGSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. Within R&D Digital & Tech, the AI-led Development Operations domain — part of Development & CMO Tech — exists to turn development and study data into … integration of AI/ML and statistical models into Mission Control: enrolment forecasting, site selection optimisation, risk detection and performance prediction. Partner with data science, biostatistics and Data & AI engineering teams to define model interfaces, data contracts, acceptance thresholds, monitoring and retraining triggers. Drive an active innovation pipeline — identify ...

knowledge sharing and mentoring within the team, supporting a culture of innovation and continuous improvement. Eligibility Criteria Applicants should hold a degree in Computer Science, Artificial Intelligence, Data Science, or a related field, or possess equivalent professional experience. Significant experience in AI/ML engineering roles ...

across our stores, turning complex data into practical solutions that make a real difference. This is an exciting opportunity to join a growing Data Science team that's focused on innovation, advanced analytics and the responsible application of AI. Working closely with operational leaders across the business … statistical modelling or advanced analytics to real business challenges Strong Python and SQL skills, with experience building and evaluating models A degree in Data Science, Mathematics, Statistics, Computer Science or another quantitative discipline Experience working through the full data science lifecycle, from problem definition and exploratory ...

help design, build and evolve resilient, event-driven, cloud-distributed systems. This role is ideal for an engineer who combines deep technical expertise, strong computer science fundamentals, and commercial awareness - someone who not only understands how systems work, but what they are meant to do and why. … building and maintaining cloud-distributed, event-driven or microservices-based systems written in enterprise-grade backend technologies such as C#/.NET (preferred) Strong computer science fundamentals Excellent engineering discipline: clean code, meaningful abstractions, test automation, documentation and version control best practice Natural curiosity and enthusiastic about using ...

engineer processes and define a compelling vision for the target state by embedding AI into current workflows, driving change and efficiency. Integrate data science solutions and applications into operational workflows to drive business value and adoption. Guide research initiatives and pilot projects to identify and apply state … agentic technologies. Implement robust drift monitoring and model retraining processes to maintain accuracy and performance. Required Qualifications, Capabilities, and Skills Extensive experience in data science, analytics or a related field. Proven track record of deploying, operationalizing, and managing AI, ML, and advanced analytics models in a large‐scale enterprise ...

production cutover Stakeholder communication, status, and risk/issue management To be successful in this role, were seeking the following: Education: Degree in Computer Science, Mathematics, AI, Data Science, or related quantitative field Experience in software development; experience in the financial services industry is a plus Skills ...

creative process and enables us to really celebrate excellence in advertising. Something not working is still a valuable data point, which we embrace, bringing science into the art of advertising. We want to know what we don’t know. Commitment. Bringing innovation to the market requires belief and drive. … collaborate effectively with cross-functional teams and manage project timelines. Exceptional problem-solving skills and meticulous attention to detail. Deep understanding of data science fundamentals and experience with statistical analysis. Demonstrated experience in leading and mentoring technical teams. Preferred Skills (Bonuses) Experience with cloud computing platforms (GCP) and their ...

help us deliver secure, scalable, and measurable solutions for our clients. As an Applied AI & Machine Learning Senior Associate in the Asset Management Data Science Team, you will build the technical foundation for intelligent investor tools. You will design context-management capabilities, develop LLM-powered applications, and create reliable … pipelines for enterprise and investment data. You will partner with investment, data science, engineering, product, and control teams to turn complex financial workflows into secure, scalable solutions. You will join a small, globally connected team with the resources and impact of one of the world’s largest financial institutions. ...

Develop, maintain, and improve predictive models to forecast business trends and provide data-backed strategic recommendations. Stay current on industry trends and emerging data science technologies to continuously strengthen analytical approaches and innovation. Communicate findings clearly and effectively to stakeholders across all levels, translating complex analytical outputs into meaningful … business actions. To be successful in this role, we're seeking the following: Bachelor's degree in Data Science, Computer Science, Statistics, or a related field, or the equivalent combination of education and experience required; advanced degree preferred. Proficiency in programming languages such as Python, or SQL.Strong ...

global trading platform looking for a Site Reliability Engineer to bridge development and operations using software engineering. Job Requirements A bachelor's degree in computer science or a closely related field is required. Three or more years of DevOps, Site Reliability, and Infrastructure Support experience. Linux technical abilities ...

Dotmatics At Dotmatics, a Siemens company, we believe science, data, and decision-making must be deeply intertwined for innovation to thrive. Our Portfolio includes Luma, LumaLab Connect, ELN Platform, Graphpad Prism, Geneious, SnapGene, Protein Metrics, OMIQ, FCS Express, LabArchives, NQuery, EasyPanel, SoftGenetics and Virscidian. We have a vision … Future that will change the future of scientific research. We have created the world’s most comprehensive digital science platform – best-of-breed software applications already used by more than 2 million scientists, together in a single ecosystem united by a powerful, flexible enterprise data platform. This ...

scalable, high-impact applications and digital experiences? About the team: A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics … support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world’s grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better ...

strong independent applied research operator capable of tackling greenfield projects end-to-end while shaping the strategic direction of the data science function, defining modeling strategies that balance immediate needs with long-term vision (2+ years ahead), setting ML/AI standards and tooling, and elevating the work … current business needs with long-term technical vision (2+ years ahead). Establish ML/AI standards, best practices, and tooling across the data science organization. Drive the scientific rigor of Onsera’s analytical outputs, including study design, bias mitigation, and reproducibility of research. Review and elevate the work ...

global trading and research platforms and contribute to both high-level strategy and the technical nitty-gritty of our global network architecture. QualificationsBS in Computer Science, Electrical Engineering, or related IT field5-10 years of relevant experience, preferably in low-latency and high-frequency trading environments. In depth … researchers are at the forefront of innovation in the world of algorithmic trading. At HRT we welcome a variety of expertise: mathematics and computer science, physics and engineering, media and tech. We're a community of self-starters who are motivated by the excitement of being ...