801 to 825 of 4,140 Computer Science Jobs in England

fulfil daily ad-hoc data requests and troubleshoot difficult technical issuesData Engineers must have:2:1 or above Hons. degree or equivalent in mathematics, computer science or comparable scientific discipline. PythonBuild ETL Pipelines (e.g., Airflow)JavascriptBuild and CI/CD toolsWrite SQL codeCreate and implementing Rest APIsGIT … branchingBI Tools such as Looker, Qlik, Power BI, TableauContainerisation technologiesGoogle Cloud Platform (GCP): Data manipulation/transfer modulesReporting, data warehousing, data science and quantitative analysis techniques. Data warehousing, data modelling and the creation of meaningful data visualisationsMy client is based in Central London with Flex work from home. ...

Apache Spark and Delta Lake Contribute to platform architecture, engineering standards and best practices across the data estate Work with Product, Analytics and Data Science teams to deliver effective data platform solutions Support platform operations, monitoring, performance optimisation and reliability Apply Infrastructure as Code principles to support consistent … goods data, including point-of-sale, inventory or supply chain datasets Understanding of modern data platform architecture and cloud engineering practices A degree in Computer Science, Data Engineering or a related discipline, or equivalent practical experience Benefits: Hybrid working, typically with two days in the office, alongside ...

BUILD TRUST OK, AND HOW CAN YOU GET THERE? You have a Master’s degree in a relevant field such as Economics, Engineering, Data Science, Computer Science, Finance, or Business Analytics . You speak English and any other languages are a plus! Solid experience in: Data analysis ...

Apache Spark and Delta Lake Contribute to platform architecture, engineering standards and best practices across the data estate Work with Product, Analytics and Data Science teams to deliver effective data platform solutions Support platform operations, monitoring, performance optimisation and reliability Apply Infrastructure as Code principles to support consistent … goods data, including point-of-sale, inventory or supply chain datasets Understanding of modern data platform architecture and cloud engineering practices A degree in Computer Science, Data Engineering or a related discipline, or equivalent practical experience Benefits: Hybrid working, typically with two days in the office, alongside ...

this role, you'll Own the execution of one or more production data science projects, translating broad problem statements into well‐scoped tasks and credible analytical results that meet stakeholder expectations. Design, develop, and validate novel behavioral heuristics and algorithms over EVM (and other) blockchain data to attribute … share knowledge. Collaborate closely with peers to bring research from prototype to production. We're looking for candidates who have A PhD in computer science, machine learning, statistics, physics, mathematics, or a related technical field – or equivalent industry experience working on advanced, data‐intensive problems. Expert‐level proficiency ...

real passion for tackling some of the biggest challenges in industry, energy, the environment, and healthcare to join our Informatics group within the Data Science & AI department. As a Higher Scientist, you'll be expected to acquire new knowledge to find solutions to advance our research, build our capability … provide impact to our clients through project delivery. The work conducted within the Data science & AI department responds to the national challenges of: Prosperity: delivering measurement solutions to maximise innovation and prosperity in advanced manufacturing Security and resilience: managing the risks to our national security and resilience infrastructure Environment ...

role offers the chance to build reusable components that help teams adopt AI consistently and effectively. You will partner closely with Technology and data science teams to deliver solutions that meet enterprise standards. If you enjoy moving from prototype to production while staying close to end users, this role … core Banking or Payments domain. Knowledge of financial services with exposure to Payments and or Banking workflows. Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related quantitative field. Demonstrated experience partnering with non‐technical business stakeholders to scope, build, and ship technical solutions. ...

present compelling strategies/build consensus around key recommendations while your analytical mindset supports evidence-driven outcome measurement/improvement initiatives. Academic credentials in computer/data science further reinforce your suitability for this influential role.* Demonstrated experience leading engineering teams with proven ability to line manage direct … senior leadership audiences.* Proven ability to define measurable outcomes/assess return on investment using evidence-based approaches for continuous improvement.* Degree-educated in Computer Science/Data Science or related discipline or equivalent professional experience. What sets this company apart: MUFG stands ...

your enthusiasm to take on new problems and learn will have an immediate impact. BASIC QUALIFICATIONS Bachelor’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 … MongoDb and Elastic Search. Preferred Qualifications Knowledge or interest in trading technologies in the front-office of a trading organization B.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 ...

reporting findings to stakeholders. Champion AI across the business, educating and supporting engineering teams and wider colleagues. What You'll Bring A degree in computer science, AI, machine learning or a related STEM field. Proven experience as a Product Owner or Product Manager on AI or ML products … production. Hands-on understanding of RAG applications, semantic search and text embeddings. Cloud experience, ideally with Azure, AWS or GCP. Strong ML and data science fundamentals, including NLP. The ability to manage AI, RAG and GenAI risk, and knowledge of fine-tuning models on proprietary datasets. Technical credibility with ...

Summary & Purpose of the PositionThe Statistical Programming Innovation Lead advances innovation across Ipsen's Biometry capabilities, spanning clinical trial design, statistical programming, and information science including through AI and automation. The role establishes the strategy, standards and ways of working needed to identify, develop and scale innovative approaches across … study design, analysis and delivery. The role leads experts in innovative programming, analytical methods, AI-enabled solutions, automation and information science, partnering across R&D, IT, Digital/Data/Analytics/AI and external providers to translate high-value opportunities into governed, reusable solutions. The role accelerates clinical ...

Perform deep dives on complex technical issues across networks, ranging from automated tooling to hardware failures and network issues. Requirements Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. 7+ years of experience in software engineering, test automation, or infrastructure engineering. ...

embedded software solutions for energy management systems, real-time control algorithms, and IoT connectivity. Shape technical direction across multiple product lines. Requirements Degree in Computer Science, Electrical Engineering, or related STEM field 3+ years embedded software development with production-ready systems Core Technical Skills Programming: Expert C/ ...

range. Work collaboratively with fellow data scientists, ML Engineers, analysts, product managers and data engineers. Meeting with stakeholders to translate business needs into data science problems. You’ll hit the ground running if you have: An advanced degree in Computer Science, Mathematics, Physics, or other quantitative discipline … Strong understanding of machine learning applications, development life cycle processes and tools: CI/CD, version control (git), testing frameworks, MLOps. Experience with data science Python libraries such as Scikit-learn, Pandas, NumPy, Pytorch etc. Comfortable working with Docker and containerised applications Experience using AWS or similar cloud computing ...

public and proprietary datasets Working closely with bioinformaticians and software engineers to deploy methods within scalable, reproducible workflows Collaborating across computational, biological, and data science teams to translate research into practical applications Taking ownership of scientific projects from concept through implementation, evaluation, and delivery What you'll need … skills with genuine experience developing new computational methods.You should have: An MSc or PhD (awarded or nearly completed) or equivalent experience in Computational Biology, Computer Science, Mathematics, Statistics, Physics, Machine Learning, Bioinformatics, or a related quantitative discipline Experience developing novel algorithms, computational methods, or machine learning models, preferably ...

Entry Requirements To apply, you will need: A Levels Three A Levels Grade B or above in Maths At least one relevant subject (Physics, Computer Science, Software, ICT) Or a Level 4/5 apprenticeship in a similar subject GCSEs Minimum of five GCSEs at Grade … including English and Maths Please note Computer Science graduates are not eligible due to funding restrictions. Benefits Competitive salary of £24,000 per annum Performance-related pay uplifts Holiday entitlement of 201 hours a year (plus a company day and bank holidays) Contributory Company Pension Health Care Cash ...

role offers the chance to build reusable components that help teams adopt AI consistently and effectively. You will partner closely with Technology and data science teams to deliver solutions that meet enterprise standards. If you enjoy moving from prototype to production while staying close to end users, this role … role offers the chance to build reusable components that help teams adopt AI consistently and effectively. You will partner closely with Technology and data science teams to deliver solutions that meet enterprise standards. If you enjoy moving from prototype to production while staying close to end users, this role ...

Responsible for driving all system upgrades across Linux tooling. Good understanding across IT On-Prem and Cloud based infrastructure. Desirable You will have relevant Computer Science, Information Technology, Information Security or Systems Engineering qualification, or equivalent related qualifications or experience. Experience working in a Cloud Infrastructure Environment ...

public and proprietary datasets Working closely with bioinformaticians and software engineers to deploy methods within scalable, reproducible workflows Collaborating across computational, biological, and data science teams to translate research into practical applications Taking ownership of scientific projects from concept through implementation, evaluation, and delivery There is the potential … successful candidate will combine strong quantitative skills with genuine experience developing new computational methods.You should have: A PhD (or equivalent experience) in Computational Biology, Computer Science, Mathematics, Statistics, Physics, Machine Learning, Bioinformatics, or a related quantitative discipline Proven experience developing novel algorithms, computational methods, or machine learning models ...

enterprise analytics architectures, governed analytics pipelines, and modern data engineering practices. Experience integrating analytics platforms into complex enterprise data ecosystems. QualificationsBachelor's degree in Computer Science, Engineering, Data Science, or related field.5+ years of experience in a customer-facing technical role (Solutions Architect, Consultant, TAM, Presales Engineer ...

workflows, enabling areas such as LLM applications, RAG pipelines, model evaluation and observability for enterprise environments.The position involves close collaboration with engineering and data science teams as well as advisory engagement with clients on best practices in AI infrastructure and operational scalability. This is an opportunity to deliver impactful … client-facing sessions to translate requirements into scalable solutionsAdvocate cloud best practices for reliability, scalability and cost optimizationRequirementsBachelor’s or Master’s degree in Computer Science, Engineering or related disciplineExperience in delivering machine learning or MLOps systems into production environmentsProficiency in Python for building services, APIs, scripts ...

/Unix expertise. Performance tuning and monitoring experience. Strong understanding of software development and testing practices. Excellent communication and stakeholder management skills. Degree in Computer Science, Mathematics, Engineering, Physics or a related discipline. Desirable Front-office trading technology experience. Fixed Income or Capital Markets knowledge. Experience with TorQ ...

well-being for you and your family. YOUR QUALIFICATIONS AND SKILLS 2:1 or above in a Bachelor's degree in a technical field (computer science, mathematics, AI, machine learning, data science, engineering, etc.) Previous experience in a technology-related role, such as software engineer, data science ...

optimisation analysis and modelling using advanced techniques. Develop customer propensity and Lifetime Value (LTV) models. Build and maintain sophisticated pricing models with advanced data science techniques using WTW Radar and Emblem. Query and engineer large datasets (e.g., Python/R/SQL/PySpark) on modern platforms (e.g., Azure … Good knowledge of Azure Databricks and modern data technologies. Experience with WTW Radar software is preferred. A quantitative degree in Mathematics, Statistics, Engineering, Physics, Computer Science, or Actuarial Science. Excellent communication skills to convey complex technical concepts to technical and non-technical audiences. A passion for innovation ...

might come from a supply chain or operations background and have developed strong data and analytics skills. You might come from a data science or analytics role and have worked in, or closely alongside, supply chain functions. Or you might have joined directly from a technology, consulting or academic … equation, and a clear appetite to deepen your capability across both. Experience: 2 to 5 years in supply chain, procurement, operations, data analytics, data science, or technology consulting in a consulting, industry or technology environment, or a combination. Supply chain and operations knowledge: A working understanding of supply chain ...