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Big Data Scientist - Expert – Manchester Our Client an international organisation is looking to recruit a Big Data Expert with 7 to 10 years expertise as a Big Data Scientist. You will have Natural Language Processing (NLP) knowledge and experience and understand and analyse large data sets to discover new insights. Working in a multi-disciplinary team within a highly technical and complex environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, Deep Learning, Statistical Relational Learning, Ensemble Methods Model using advanced statistical/ mathematical models, predict and segment data to hypothesize/ evolve uses cases to monetize data and generate other business value. Translate business needs to technical requirements and implementation. Experience of Big Data technologies/Big Data Analytics. C++, Java, Python, Shell Script R, Matlab, SAS Enterprise Miner Elastic search and understanding of Hadoop ecosystem Experience working with large data sets, experience working with distributed computing tools like Map/Reduce, Hadoop, Hive, Pig etc. Advanced use of Excel spread sheets for analytical purposes An MSc or PhD in Data Science or an analytical subject (Physics, Mathematics, Computing) or other quantitative discipline would be handy. The position is based close to Manchester. The salary for this Big Data Scientist position will be circa £75K - £85K plus benefits. Please send your CV to us in Word format along with salary and availability details.

Big Data Scientist – Docklands London Our Client an international organisation is looking to recruit a Big Data Expert with 2 to 5 years expertise as a Big Data Scientist. You will have Natural Language Processing (NLP) knowledge and experience and understand and analyse large data sets to discover new insights. Working in a multi-disciplinary team within a highly technical and complex environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, Deep Learning, Statistical Relational Learning, Ensemble Methods Model using advanced statistical/ mathematical models, predict and segment data to hypothesize/ evolve uses cases to monetize data and generate other business value. Translate business needs to technical requirements and implementation. Experience of Big Data technologies/Big Data Analytics. C++, Java, Python, Shell Script R, Matlab, SAS Enterprise Miner Elastic search and understanding of Hadoop ecosystem Experience working with large data sets, experience working with distributed computing tools like Map/Reduce, Hadoop, Hive, Pig etc. Advanced use of Excel spread sheets for analytical purposes An MSc or PhD in Data Science or an analytical subject (Physics, Mathematics, Computing) or other quantitative discipline would be handy. The position is based in the Docklands London. This is a 3 to 6 month contract assignment. Please send your CV to us in Word format along with daily rate and availability details.

Data Scientist – Manchester Our Client an international organisation is looking to recruit a Data Scientist with 7 to 10 years expertise as a Data Scientist. You will have Natural Language Processing (NLP) knowledge and experience and understand and analyse large data sets to discover new insights. Working in a multi-disciplinary team within a highly technical and complex environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, Deep Learning, Statistical Relational Learning, Ensemble Methods Model using advanced statistical/ mathematical models, predict and segment data to hypothesize/ evolve uses cases to monetize data and generate other business value. Translate business needs to technical requirements and implementation. Experience of Big Data technologies/Big Data Analytics. C++, Java, Python, Shell Script R, Matlab, SAS Enterprise Miner Elastic search and understanding of Hadoop ecosystem Experience working with large data sets, experience working with distributed computing tools like Map/Reduce, Hadoop, Hive, Pig etc. Advanced use of Excel spread sheets for analytical purposes MSc or PhD in Data Science or an analytical subject (Physics, Mathematics, Computing) or other quantitative discipline The position is based close to Manchester. The salary for this position will be circa £75K - £85K plus benefits. Please send your CV to us in Word format along with salary and availability details.

DV Infrastructure/Software Engineer Office days - minimum 3 Location - London, Manchester, Ipswich, and Cheltenham. Security - DV Rate £600 - £750 Inside IR35 We have lots of roles available at different seniority levels. Accountabilities will vary depending on role, but will follow these principles: * Own and deliver engineering platform capabilities that enable teams to build, test, secure, and deploy services in a highly-automated, CI/CD-driven environment. * Design, implement, and evolve CI/CD pipelines, ensuring consistent, reliable, and repeatable delivery processes across multiple teams and services. * Embed Infrastructure-as-Code (IaC) practices, driving standardisation, scalability, and elimination of manual provisioning and configuration drift. * Integrate security controls into engineering workflows, ensuring services are secure by design and comply with the highest standards, from initial build through to production. * Support and enable engineering teams, providing guidance, tooling, and best practices to improve delivery velocity, quality, and resilience. * Continuously optimise automation, identifying opportunities to remove repetitive manual tasks, reduce cycle times and improve developer experience. * Collaborate across development, security, and operations spheres, breaking down silos and promoting end-to-end ownership of services. * Maintain and improve engineering tooling and platforms, including source-code control systems, build systems, artifact repositories and deployment frameworks. * Drive adoption of modern engineering practices, including continuous integration, continuous delivery, automated testing, and observability. * Monitor and improve platform performance and reliability, using metrics such as deployment frequency, lead-time, failure rates, and recovery times. * Contribute to technical standards and governance, ensuring consistency, security, and best-practice across engineering teams. * Support incident response and problem resolution, ensuring rapid recovery and continuous improvement through feedback loops and retrospective sessions. * Document and share knowledge, building reusable patterns, templates and guidance in order to scale up engineering capability. Technical: * Single- or multi-tier software application development (Java, Python, JavaScript, C++, C#, etc) * Database technologies & ORM (Elastic, MySQL/MariaDB, SQL*Server, etc) * Spec-driven software development & MCP use (Kiro, Claude, etc) * Source-code control (Git & Git-based technologies e.g. GitOps) * CI/CD platforms (GitLab, Jenkins) * Configuration management & IaC frameworks (Terraform, Ansible, Chef, Puppet) * Containerisation & container platforms (Kubernetes, Helm-based management & deployment) * Cloud-native platforms (AWS, Azure, GCP, VCF) * Artifact & package management (Nexus/Artifactory/Harbor) * Observability (Prometheus, Grafana, ELK stack, Fleet, Defend) * Identity & access management (IAM, OAuth/OIDC e.g. Keycloak, Secrets Mgmt e.g. Vault) * Automated testing frameworks * Release & deployment automation (ArgoCD, Flux) * Data-streaming & integration platforms (Kafka, NiFi) * Load-balancing and proxies (Nginx, HAProxy, ALB) * Encryption & certificate lifecycle management (TLS/SSL, PKI, etc) * OS configuration & management (Linux, Microsoft Windows) * System administration/diagnosis/troubleshooting * Networking (DNS, NAT, IP-addressing, TCP/UDP, routing, switching, firewalls, VPNs, etc) please share your latest CV Due to the nature and urgency of this post, candidates holding or who have held high level security clearance in the past are most welcome to apply. Please note successful applicants will be required to be security cleared prior to appointment which can take a minimum 18 weeks. LA International is an award-winning partner of choice for many of the world's most influential companies and government organisations. Holding Enhanced Government Security Accreditation, we are recognised as the European market leader in the delivery of Security Cleared talent to organisations that demand the very highest levels of security, compliance and assurance. An award-winning organisation, having secured the prestigious Queens Award for Enterprise: International Trade over multiple years. We are committed to fostering an inclusive, equitable and accessible workplace where everyone feels valued and supported. We welcome applications from all individuals, regardless of background or identity, and we encourage candidates who may not meet every listed requirement to still apply. If you require any adjustments or support during the recruitment process, please let us know and we will work with you to ensure a fair and accessible experience. Please Note: If a high volume of applications is received, only candidates shortlisted will be contacted.