426 to 450 of 5,010 Computer Science Jobs in England

subject area to design, build, and deploy production-grade ML and AI systems.This role goes beyond traditional ML engineering. You will apply machine learning science as a core field — developing novel algorithms and models that are not only experimentally validated but architected and deployed as scalable, reliable products. Whether … build, and maintain scalable, production-grade machine learning systems and pipelines using modern engineering practices (CI/CD, testing, monitoring, observability).Apply machine learning science to develop novel algorithms and models that are deployed as reliable, scalable products — not limited to experimentation but extending through to production delivery ...

data visualisation and dashboard development. Hands-on experience with SQL for data processing and analytics. Strong programming skills in Python , with experience using data science libraries such as Pandas, Numpy, Scikit-learn, and Keras/PyTorch . Experience with Databricks and Spark for data manipulation and querying. Prior experience … with a deep understanding of retail analytics. Previous consultancy experience, working directly with clients to deliver analytics solutions and insights. Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related field. Your Personality Driven Resilient Insightful Analytical Creative If you would like the opportunity to join ...

Junior Software Engineer (with SRE Influences) About Fogsphere Fogsphere is a London‐based innovator focused on transforming workplace and urban safety through advanced AI, Computer Vision, and Industrial IoT. Built on a principled “Edge‐to‐Fog‐to‐Cloud” architecture, our platform turns passive CCTV cameras and sensors into proactive … principles — observability, monitoring, and automated recovery. Explore infrastructure-as-code , containerization (Docker, Kubernetes), and cloud-based automation. Required Skills & Qualifications Bachelor’s degree in Computer Science, Engineering , or equivalent practical experience. Understanding of software testing principles , version control (Git) , and CI/CD basics . Curiosity ...

compliance with engineering standards and processes. Maintain configuration and operational documentation. Support audit and quality assurance activities. Qualifications Essential Qualifications Bachelor's degree in Computer Science, Data Engineering, Information Technology, Mathematics, Statistics, Engineering, or a related discipline. 2+ years of experience in Software Factory, DevOps, CI/ ...

globally connected, multi‐disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. A PhD in Computer Science, Applied Mathematics, or Computer Engineering is desirable but not essential. "FDEFS" #J-18808-Ljbffr ...

Kafka, Flink)Experience leading technical customer conversations — discovery, whiteboarding, architecture reviewsFamiliarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ML (model training, MLOps), or SQL analyticsStrong presentation and demo skills — you will build and present a live solution during the interviewBachelor … Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience)Nice to Have: Databricks certification or experience with the Databricks PlatformExperience with Unity Catalog, Lakeflow Spark Declarative Pipelines, or MLflowBackground at a data/AI company, cloud provider, or technical consulting firmInterview Process: Recruiter ...

software development Who We're Looking For You'll ideally have, as a Graduate Software Developer First-Class, or 2:1 degree in Computer Science, Software Engineering, Mathematics, Physics, Engineering or another strong STEM discipline. With A levels at A-B grades or Eqvl. Strong analytical and problem ...

Kafka, Flink)Experience leading technical customer conversations — discovery, whiteboarding, architecture reviewsFamiliarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ML (model training, MLOps), or SQL analyticsStrong presentation and demo skills — you will build and present a live solution during the interviewBachelor … Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience)Nice to Have: Databricks certification or experience with the Databricks PlatformExperience with Unity Catalog, Lakeflow Spark Declarative Pipelines, or MLflowBackground at a data/AI company, cloud provider, or technical consulting firmInterview Process: Recruiter ...

Kafka, Flink)Experience leading technical customer conversations — discovery, whiteboarding, architecture reviewsFamiliarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ML (model training, MLOps), or SQL analyticsStrong presentation and demo skills — you will build and present a live solution during the interviewBachelor … Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience)Nice to Have: Databricks certification or experience with the Databricks PlatformExperience with Unity Catalog, Lakeflow Spark Declarative Pipelines, or MLflowBackground at a data/AI company, cloud provider, or technical consulting firmInterview Process: Recruiter ...

products that span the journey from research and experimentation through to solutions. A core differentiator of this role is deep applied machine learning science: the ability to develop, validate, and deploy novel ML algorithms and scientific models as reliable, maintainable products bridging the gap between innovative research and enterprise … delivery of complex ML solutions from scientific problem framing and algorithm design through to deployment, operationalisation, and product delivery. Apply advanced machine learning science to develop novel algorithms and models, ensuring they are rigorously validated and deployed as scalable, reliable, production-grade products. Bridge the gap between scientific research ...

Kafka, Flink)Experience leading technical customer conversations — discovery, whiteboarding, architecture reviewsFamiliarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ML (model training, MLOps), or SQL analyticsStrong presentation and demo skills — you will build and present a live solution during the interviewBachelor … Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience)Nice to Have: Databricks certification or experience with the Databricks PlatformExperience with Unity Catalog, Lakeflow Spark Declarative Pipelines, or MLflowBackground at a data/AI company, cloud provider, or technical consulting firmInterview Process: Recruiter ...

TypeScript. Cloud experience with Azure and/or AWS. Strong software engineering fundamentals and development best practices. First-class or 2:1 degree in Computer Science, Engineering, Physics, Mathematics or a related discipline from a Russell Group university. Desirable Experience WebSockets, SignalR or similar real-time technologies. ...

business stakeholders. Understanding of data quality, classification, privacy and governance principles, with the ability to embed them into model design Desirable Degree in Computer Science, Information Systems, Data Science or a related discipline Experience applying data quality, governance, metadata, lineage, security and privacy principles ...

agentic workflows and data mesh, introducing new methodologies and representing EPAM at key industry events Requirements Bachelor’s, Master’s or PhD in Computer Science, Data Science, Mathematics, Economics or a related field or relevant work experience Proven track record in a Director, Principal or equivalent leadership ...

solution demonstrations where required. Ensure AI solutions align with security, governance, Responsible AI, and enterprise architecture standards. Your Skills and Experience Degree in Computer Science, Information Systems, Engineering, Mathematics, Data Science, or a related STEM discipline, or equivalent professional experience. Strong experience developing AI solutions using Python ...

clinical trial schemas. Use AI-driven schema inference and ontology alignment tools to auto-draft mapping artifacts, dramatically reducing integration timelines across different life science datasets. High-throughput Streaming & Backend Services: Build scale, fault-tolerant real-time ingestion pipelines using Kafka, AWS, and Snowflake. Write robust enterprise services … zero-loss data integrity, and significantly accelerates regulatory submission timelines for life-saving therapies. Qualifications Education & Experience: Bachelor's or Master's degree in Computer Science, Data Science, Software Engineering, or equivalent practical experience, alongside proven years of dedicated professional experience in enterprise data engineering and architecture. ...

Flink) Experience leading technical customer conversations — discovery, whiteboarding, architecture reviews Familiarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ML (model training, MLOps), or SQL analytics Strong presentation and demo skills — you will build and present a live solution during the interview … Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience) Nice to Have: Databricks certification or experience with the Databricks Platform Experience with Unity Catalog, Lakeflow Spark Declarative Pipelines, or MLflow Background at a data/AI company, cloud provider ...

evaluation criteria (accuracy, latency, cost, and user impact) to support decisions on what to scale. What You Need to Have: A degree in Computer Science, Data Science, Mathematics, or a related discipline (or equivalent practical experience), plus evidence you can deliver in real‐world settings (e.g. ...

feedback to improve code quality Stay up to date with emerging technologies, tools, and industry trends Essential Skills and Experience Bachelor’s degree in Computer Science, Engineering, or a related field Proficiency with Git for version control and collaborative development Experience or familiarity with backend languages such ...

team members and foster a culture of innovation, collaboration, and continuous learning.Drive AI capability development and organizational readiness.Your Skills and ExperienceBachelor’s degree in computer science, Data Science, Engineering, Information Technology, or related field.Strong understanding of AI/ML concepts, Large Language Models (LLMs), GenAI platforms ...

foster a culture of innovation, collaboration, and continuous learning. Drive AI capability development and organizational readiness. Your Skills and Experience Bachelor’s degree in computer science, Data Science, Engineering, Information Technology, or related field. Strong understanding of AI/ML concepts, Large Language Models (LLMs), GenAI platforms ...

products and prototypes, while feeding lessons from delivery into Helix, Business Technology and the wider innovation roadmap. The role is not a pure data-science or research position, and it is not primarily a front-end role. You should be comfortable building end-to-end working solutions and integrations … skills: able to build trust, frame problems, make progress amid ambiguity and explain complex matters simply. A relevant degree or equivalent professional experience in computer science, engineering, mathematics, data science or a related discipline. Certifications are welcome but not essential. What Success Looks Like Trusted partnerships with ...

foster a culture of innovation, collaboration, and continuous learning.* Drive AI capability development and organizational readiness.## Your Skills and Experience* Bachelor’s degree in computer science, Data Science, Engineering, Information Technology, or related field.* Strong understanding of AI/ML concepts, Large Language Models (LLMs), GenAI platforms ...

skills, with the ability to work both independently and as part of a distributed, global team.ACADEMIC CREDENTIALS: Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Electronic/Electrical Engineering, or a related field. LOCATION:Cambridge, United Kingdom (Hybrid)#LI-HYBRID#LI-NG1Benefits offered are described ...

foster a culture of innovation, collaboration, and continuous learning.* Drive AI capability development and organizational readiness.## Your Skills and Experience* Bachelor’s degree in computer science, Data Science, Engineering, Information Technology, or related field.* Strong understanding of AI/ML concepts, Large Language Models (LLMs), GenAI platforms ...