of technologies to develop software products end-to-end involving UI, APIs, Databases, etc. Experience in building DevOps pipelines for applications and infrastructure Experience in data engineering, SQL/NOSQL databases, Big Data, and Analytics Lead SAFe by example Gathers and refines requirements by engaging with stakeholders, product manager, and QA manager DevOps/SRE improvements and ensures continuous progress More ❯
of technologies to develop software products end-to-end involving UI, APIs, Databases, etc. Experience in building DevOps pipelines for applications and infrastructure Experience in data engineering, SQL/NOSQL databases, Big Data, and Analytics Lead SAFe by example Gathers and refines requirements by engaging with stakeholders, product manager, and QA manager DevOps/SRE improvements and ensures continuous progress More ❯
experience and a passion for working in: Java Spring Boot Developing and using enterprise APIs Various testing methodologies System design at high scale and commercial experience with: SQL and NoSQL databases Async processing Cloud native applications Working in a Continuous Delivery environment Modern observability practices Nice to have Not vital, but you'll have the edge if you also have More ❯
an AI/ML solution and lead on prototyping and developing a RAG platform on AWS. You'll need: - Extensive AWS Data Engineering experience (S3, EC2, Glue, Lambada etc.) - NoSQL/MongoDB - Strong understanding of Data Modelling, ETL/ELT, DWH concepts - Docker/EKS containerisation tooling - Experience building and maintaining pipelines for data workflows (CI/CD - RAG or More ❯
platforms. Responsibilities - Build and maintain RESTful APIs - Develop secure, reusable server-side logic and services - Integrate third-party APIs and data sources - Design and optimise database schemas (SQL/NoSQL) - Write automated tests for reliability and quality - Monitor and improve performance and scalability - Proficient in Node.js, Python, Java, Ruby, Go, or .NET - Strong experience with RESTful API development - Knowledge of More ❯
environment (on-Prem and Cloud). Hands on experience with developing data pipelines for structured, semi-structured, and unstructured data and experience integrating with their supporting stores (e.g. RDBMS, NoSQL DBs, Document DBs, Log Files etc). Please apply ASAP to find out more More ❯
Experience configuring, deploying, and monitoring applications on Azure. * TDD (Test-Driven Development) experience. * API build experience is essential, especially with 3rd party API's * Comfortable working with relational and NoSQL databases, including complex queries and performance optimization. * Solid understanding of web design patterns, including SOLID principles. * Experience working in an agile, collaborative environment. * Familiarity with automated testing and CI/ More ❯
with strong Python, PySpark, and SQL experience, a clear understanding of Databricks, and a passion for Data Science (R, Machine Learning, and AI). Database experience with SQL and NoSQL databases such as Aurora, MS SQL Server, and MySQL is expected, along with substantial Agile and Scrum exposure and adherence to SOLID principles. Experience with Continuous Integration tools, Infrastructure as More ❯
including third-party integrations Proficiency in Azure for deploying, configuring, and monitoring applications Solid understanding and practical use of TDD (Test-Driven Development) Comfortable working with both relational and NoSQL databases, with a focus on complex queries and performance tuning Good grasp of web architecture patterns and SOLID principles Experience working in agile, collaborative teams Familiar with automated testing and More ❯
numpy Experience creating NLP/DL/RNN models Experience with Image Processing and CNNs Excellent communication skills Degree in CS, maths, statistics, engineering, physics or similar Desirable Requirements: NoSQL databases - Elasticsearch, MongoDB etc (bonus) Modern Data tools such as Spark/Beam (bonus) Streaming technologies such as Spark/Akka Streams (bonus) Tagged as: Industry , NLP , United Kingdom More ❯
Manchester, Lancashire, United Kingdom Hybrid / WFH Options
Manchester Digital
a culture of embracing XP values and continuous improvement so are happy to support someone who is willing to get stuck in and learn new things. Skills Node React NoSQL AWS TDD CI/CD The money is good too - up to £65k plus company benefits including remote first working (1-2 days in the office per month). If More ❯
Edinburgh, Scotland, United Kingdom Hybrid / WFH Options
Head Resourcing
to space systems (commercial or academic) Experience across the full software lifecycle, from requirements to release Familiarity with model-based or component-based engineering Knowledge of: Databases (RDBMS or NoSQL) JavaFX , Apache Maven Version control (Git or Mercurial More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Robert Walters
term goals. Contribute to high-quality codebases across backend and frontend systems. Tech Requirements Strong Python backend development experience. Solid JavaScript/TypeScript frontend experience. Experience with SQL and NoSQL databases, event-driven systems, and cloud-native architecture. Experience building and maintaining data pipelines and infrastructure for large or distributed systems. Familiarity with data standards and APIs in scientific or More ❯
to create impactful applications to positively impact the lives of millions of people Drive innovation using Python, FastAPI and AWS infrastructure tools (EC2, S3, RDS, Lambda, etc.), SQL/NoSQL What We're Looking For: Experience working with autonomy and taking the lead of back end development Experience improving the scalability and performance of an application with a growing customer More ❯
minimum Any front-End experience is advantageous Experience with GenAI tools (LangChain, LangGraph, etc.) and LLMs (OpenAI, Anthropic, Llama, etc.) Familiarity with monitoring (Langsmith, Langfuse), Git, and vector/NoSQL/SQL databases Eligible for SC Clearance - lived in the UK for 5yrs+ Salary for the Python/GenAI Developer roles on offer is up to £55,000 dependent on More ❯
West London, London, England, United Kingdom Hybrid / WFH Options
Bentley Whitaker Search and Selection
minimum Any front-End experience is advantageous Experience with GenAI tools (LangChain, LangGraph, etc.) and LLMs (OpenAI, Anthropic, Llama, etc.) Familiarity with monitoring (Langsmith, Langfuse), Git, and vector/NoSQL/SQL databases Eligible for SC Clearance - lived in the UK for 5yrs+ Salary for the Python/GenAI Developer roles on offer is up to £55,000 dependent on More ❯
work will involve staying ahead of new technology trends to ensure the company remains at the forefront of Generative AI. What we're looking for: Expertise in SQL and noSQL technologies (e.g., MS SQL, Oracle, MongoDB). Experience with data processing and exchange (ETL, ESB, API). Strong development skills, particularly with Python. Big data experience/knowledge (hadoop etc More ❯
Employment Type: Permanent
Salary: £50000 - £55000/annum bonus, overtime paid at 1.25, 16% pe
deep understanding of libraries like Pandas, NumPy, and others for data manipulation and analysis. Solid understanding of financial markets, particularly equities, and portfolio management concepts. Knowledge of databases (SQL, NoSQL) and experience in working with large datasets. Experience in developing, optimizing, and deploying quantitative models in a production environment. Strong problem-solving skills and ability to think critically in a More ❯
deep understanding of libraries like Pandas, NumPy, and others for data manipulation and analysis. Solid understanding of financial markets, particularly equities, and portfolio management concepts. Knowledge of databases (SQL, NoSQL) and experience in working with large datasets. Experience in developing, optimizing, and deploying quantitative models in a production environment. Strong problem-solving skills and ability to think critically in a More ❯
standards Contribute to the technology roadmap and deliver innovative solutions Stay current with emerging technologies in AI and data engineering Technical Skills Required: SQL technologies (e.g. MS SQL, Oracle) NoSQL technologies (e.g. MongoDB, InfluxDB, Neo4J) Data exchange and processing tools (ETL, ESB, API) Programming experience (Python or similar) Big data tools (e.g. Hadoop stack) Knowledge of NLP, OCR, and Generative More ❯
jQuery, HTML, CSS/SCSS, Shopify (working with liquid files), and related technologies. Experience in AWS (Lambda, S3, API Gateway), Node/NPM, and with SQL and/or NoSQL databases is also desirable. -? A working knowledge of CMS implementation and server-side programming languages is required. -? Solid knowledge of performance improvement and optimization best practices. -? A strong sense of More ❯
Experience in containerisation technologies (e.g. Docker). Knowledge in the industrial and/or defence sector. The successful candidate must have: SQL technologies skills (e.g. MS SQL, Oracle). noSQL technologies skills (e.g. MongoDB, InfluxDB, Neo4J). Data exchange and processing skills (e.g. ETL, ESB, API). Development skills (e.g. Python). Big data technologies knowledge (e.g. Hadoop stack). More ❯
and infrastructure. Proficiency in statically typed backend frameworks (e.g., Java, Golang, Typescript, C++), with Python skills as a plus. Experience with relational databases (e.g., PostgreSQL, MySQL) and ideally with NoSQL databases. Familiarity with CI/CD platforms (e.g., GitHub Actions, CircleCI, Cloud Build, etc.). Demonstrated expertise in developing scalable pipelines for AI model training, evaluation, and deployment. Strong understanding More ❯
Experience in containerisation technologies (e.g. Docker). Knowledge in the industrial and/or defence sector. The successful candidate must have: SQL technologies skills (e.g. MS SQL, Oracle). noSQL technologies skills (e.g. MongoDB, InfluxDB, Neo4J). Data exchange and processing skills (e.g. ETL, ESB, API). Development skills (e.g. Python). Big data technologies knowledge (e.g. Hadoop stack). More ❯
Experience in containerisation technologies (e.g. Docker). Knowledge in the industrial and/or defence sector. The successful candidate must have: SQL technologies skills (e.g. MS SQL, Oracle). noSQL technologies skills (e.g. MongoDB, InfluxDB, Neo4J). Data exchange and processing skills (e.g. ETL, ESB, API). Development skills (e.g. Python). Big data technologies knowledge (e.g. Hadoop stack). More ❯