e.g., Databricks, Dataiku, AzureML, SageMaker) and frameworks (e.g., TensorFlow, MXNet, scikit-learn) Software engineering practices (coding standards, unit testing, version control, code review) Hadoop distributions (Cloudera, Hortonworks), NoSQL databases (Neo4j, Elastic), streaming technologies (Spark Streaming) Data manipulation and wrangling techniques Development and deployment technologies (virtualisation, CI tools like Jenkins, configuration management with Ansible, containerisation with Docker, Kubernetes) Data visualization More ❯
plus, especially within multi-disciplinary teams Deep knowledge of database technologies: Distributed systems (e.g., Spark, Hadoop, EMR) RDBMS (e.g., SQL Server, Oracle, PostgreSQL, MySQL) NoSQL (e.g., MongoDB, Cassandra, DynamoDB, Neo4j) Solid understanding of software engineering best practices - code reviews, testing frameworks, CI/CD, and code maintainability Experience deploying applications into production environments, including packaging, monitoring, and release management More ❯
pipelines. Hands-on experience with big data processing frameworks such as Apache Spark, Databricks, or Snowflake, with a focus on scalability and performance optimization Familiarity with graph databases (e.g., Neo4j, Memgraph) or search platforms (e.g., Elasticsearch, OpenSearch) to support complex data relationships and querying needs Solid understanding of cloud infrastructure, particularly AWS, with practical experience using Docker, Kubernetes, and More ❯
You'll report into a collaborative data team that values precision, integrity, and innovation. What You'll Bring Experience with SQL (e.g. MS SQL, Oracle) and NoSQL (e.g. MongoDB, Neo4J) Strong skills in Python, ETL, API integration, and data processing Familiarity with Hadoop, Docker, and containerisation technologies Knowledge of Generative AI, Natural Language Processing, or OCR is a plus More ❯
You'll report into a collaborative data team that values precision, integrity, and innovation. What You'll Bring Experience with SQL (e.g. MS SQL, Oracle) and NoSQL (e.g. MongoDB, Neo4J) Strong skills in Python, ETL, API integration, and data processing Familiarity with Hadoop, Docker, and containerisation technologies Knowledge of Generative AI, Natural Language Processing, or OCR is a plus More ❯
microservices architectures. Proficiency in modern JavaScript/TypeScript and at least one major frontend framework (React, Vue.js, or Angular). Deep understanding of database design, optimisation, and management (PostgreSQL, Neo4j, Redis). Experience with cloud platforms (AWS, GCP, Azure) and infrastructure as code (Terraform). Proficiency with containerisation and orchestration technologies (Docker, Kubernetes). Strong knowledge of distributed systems More ❯
experience as a Solution Architect or Data Architect in large-scale, enterprise environments.Rail industry experience or deep understanding of transportation infrastructure and operational data.Strong knowledge of graph databases (e.g., Neo4j, Amazon Neptune) and graph-based modelling for network analysis and relationship mapping.Understanding of network management systems, topology modelling, and asset interconnectivity in physical or digital rail infrastructure.Solid experience with More ❯
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 AI is advantageous Experience More ❯
contributing to the technology roadmap Delivering innovative solutions in NLP, OCR, and Generative AI applications Experience required: Strong SQL skills (e.g. MS SQL, Oracle) and noSQL skills (e.g. MongoDB, Neo4J) Proficiency in data exchange and processing tools (ETL, ESB, APIs) Development skills in Python and familiarity with Big Data technologies (e.g. Hadoop) Knowledge of NLP and OCR; Generative AI More ❯
Malvern, Worcestershire, United Kingdom Hybrid / WFH Options
QinetiQ Limited
we've worked on recently that might give you a better sense of the kind of work you could be leading on: Building a data analytics tool using a Neo4J graph database. A DevOps platform to support 3000 users. Processing digital forensic data to enable search and insight generation. A search and reporting system backed by an ElasticSearch cluster. More ❯
we've worked on recently that might give you a better sense of the kind of work you could be leading on: Building a data analytics tool using a Neo4J graph database. A DevOps platform to support 3000 users. Processing digital forensic data to enable search and insight generation. A search and reporting system backed by an ElasticSearch cluster. More ❯
Experience with scientific, semi-structured, or biodiversity data. Familiarity with semantic web standards (e.g. Darwin Core, JSON-LD, Linked Data). Knowledge of NoSQL/graph databases (e.g. MongoDB, Neo4j, Neptune) a plus. Hands-on with cloud-native architectures, especially AWS. Understanding of data versioning, provenance, and governance. Robert Walters Operations Limited is an employment business and employment agency More ❯
Gloucester, Gloucestershire, United Kingdom Hybrid / WFH Options
Hdcorp
of the following technologies but who is also open minded about learning new languages and tools: Java, Python, JavaScript, TypeScript Angular, React, Vue Docker, Kubernetes AWS, Azure MERN, Elasticsearch, Neo4J A competitive salary with an exciting array of projects to work on. Company Benefits that we offer from your first day are: 25 days leave (on top of your More ❯
of the following technologies but who is also open minded about learning new languages and tools: Java, Python, JavaScript, TypeScript Angular, React, Vue Docker, Kubernetes AWS, Azure MERN, Elasticsearch, Neo4J A competitive salary with an exciting array of projects to work on. Company Benefits that we offer from your first day are: 25 days leave (on top of your More ❯
Chelmsford, Essex, South East, United Kingdom Hybrid / WFH Options
Anson Mccade
sector R&D environments) Advanced skills in Python and ML frameworks (TensorFlow, PyTorch) Deep experience in one or more of the following: Knowledge graphs & graph ML (e.g. PyTorch-Geometric, Neo4j) NLP and information extraction (transformer-based models desirable) Semantic reasoning, ontology development, or LLM-based applications Experience with Cypher, SQL, or similar query languages is desirable Eligible for SC More ❯
languages. Required Skills & Qualifications Bachelor’s degree in Computer Science, Data Science, or a related field. Proven experience with SPARQL and Python. Strong understanding of graph databases (e.g., RDF, Neo4j, GraphDB). Experience in data modeling and schema design. Familiarity with data pipeline tools and frameworks (e.g., Apache Airflow, Luigi). Excellent problem-solving and analytical skills. Ability to More ❯
languages. Required Skills & Qualifications Bachelor’s degree in Computer Science, Data Science, or a related field. Proven experience with SPARQL and Python. Strong understanding of graph databases (e.g., RDF, Neo4j, GraphDB). Experience in data modeling and schema design. Familiarity with data pipeline tools and frameworks (e.g., Apache Airflow, Luigi). Excellent problem-solving and analytical skills. Ability to More ❯
Expertise in TypeScript and Node.js ; knowledge of Python is a plus. Experience working with SQL and/or NoSQL technologies like MySQL , MongoDB , and DynamoDB etc., graph databases like Neo4j is aplus. Solid understanding of cloud ecosystems : Azure , AWS , or GCP . Hands-on experience with Docker, Kubernetes , or othercontainerization technologies. Deep understanding of object-oriented programming principles andarchitectural More ❯
to create solutions for large business problems. You will collaborate closely with experienced data scientists focusing on advanced challenges such as entity resolution at scale and graph modelling with Neo4J to produce graphical representations of potential fraud rings. Our Data Scientists research and apply advanced techniques in Machine Learning, Natural Language Processing, Deep Learning, and Computer Vision to understand More ❯
. 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). This position offers a lucrative More ❯
. 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). This position offers a lucrative More ❯
. 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). This position offers a lucrative More ❯
Manchester, Lancashire, United Kingdom Hybrid / WFH Options
Hamiltonian Dynamics
of the following technologies but who is also open minded about learning new languages and technologies. Java, Python, JavaScript, TypeScript Angular, React, Vue Docker, Kubernetes AWS, Azure MERN, Elasticsearch, Neo4J Benefits A salary banding of £40-75k with an exciting array of projects to work on. Company Benefits that we offer from your first day are: 25 days More ❯
understanding of version control, CI/CD, and web hosting environments. Nice to Have: Hands-on experience with ML frameworks (e.g., Hugging Face). Exposure to graph databases (e.g., Neo4j) Background in developing data-heavy or AI-enhanced applications. Why You'll Love This Role: Collaborative Culture: The company fully believes in the power of teamwork and support each More ❯
use of Large Language Models Knowledge and experience of either AWS or Azure: AWS (boto3, Bedrock, Sagemaker, Lambda, S3, EC2) Azure (azure Open AI service, Cosmos DB) Python Langgraph Neo4j/cypher Other coding languages/frameworks e.g. Java/.Net AI RAG (retrieval augmented generation) Graph RAG Few shot detection Embedding models/LLMs - how they work, how More ❯