Talent Smart

Technical Lead AI Inside IR35 3-days per week in Sheffield, 2-days remote We are seeking an experienced Technical Lead AI to join a leading financial services client, helping drive the evolution of modern software engineering through applied AI and intelligent automation. This role sits within a fraud protection environment, focused on building AI agents to detect financial crime events and improve software delivery efficiency across engineering teams. The successful candidate will combine strong full-stack engineering expertise with hands-on experience deploying and integrating large language models and agentic AI workflows into production environments. Key responsibilities: Designing and building AI agents for fraud detection and production engineering services Embedding AI capabilities across the software development lifecycle, from code creation through to delivery Improving engineering efficiency through AI-driven code validation, reviews, and automation Acting as a technical lead, mentoring and upskilling engineering teams while remaining hands-on Building scalable, production-grade software and AI-enabled platforms Requirements: Strong full-stack engineering background with Java, Spring Boot, and React Hands-on experience with LLMs and AI tooling such as Co-Pilot, Claude, OpenCode, or Mistral Experience building agentic AI workflows in enterprise environments Kubernetes and event-driven architecture experience, including Kafka and Google Pub/Sub Public cloud agnostic engineering experience Strong stakeholder engagement and technical leadership capability Additional information available on successful application.

Data Engineer We're supporting a leading enterprise financial services organisation in the search for an experienced Data Engineer to join a high-performing data team on an initial 6-month contract. Contract Details: 600 per day Inside IR35 Initial 6-month engagement Sheffield-based, 3 days per week on-site Key Requirements: Strong hands-on experience with PySpark and Databricks Deep understanding of Spark performance optimisation, including lazy evaluation, column pruning, groupBy operations, and window functions Proven ability to troubleshoot and resolve Spark job performance issues Extensive experience designing, developing, and supporting enterprise-scale data pipelines Strong technical depth across modern data engineering platforms, tools, and technologies Experience working within complex, large-scale enterprise environments This is an excellent opportunity to contribute to a major data transformation programme within a leading financial services organisation. Additional information available on successful application.

DevSecOps Consultant Sheffield (3 days per week onsite) Inside IR35 We're partnering with a leading financial services client to appoint a DevSecOps Consultant to drive secure engineering practices across large-scale, cloud-based platforms. This role is ideal for someone who has come from a hands-on DevSecOps Engineering background and has since transitioned into architecture/design and advisory, while still retaining strong technical depth. Key Responsibilities: Define and implement secure architecture patterns across engineering platforms (CI/CD, build systems, runtime environments) Conduct security assessments, threat modelling, and gap analysis across platforms and pipelines Develop and embed DevSecOps best practices, including secure pipeline design and automated controls Establish and enforce security baselines using policy-as-code Build and deliver security roadmaps, prioritising risk and regulatory requirements Partner with engineering and platform teams to remediate vulnerabilities and improve security posture Act as a trusted advisor to senior stakeholders, translating technical risks into business impact Key Requirements: Proven background in hands-on DevSecOps Engineering, now operating in a design/architecture-focused role Strong experience across both AWS and GCP (essential) Deep understanding of CI/CD pipelines, build tools, artifact repositories, and developer platforms Expertise in secure software delivery, vulnerability management, and platform security Experience with threat modelling, security frameworks, and maturity assessments Strong knowledge of application security, network security, and cloud security principles Excellent stakeholder management and communication skills Desirable: Experience in financial services or regulated environments Knowledge of Kubernetes and container security Familiarity with supply chain security, SBOM, and secure development practices Relevant certifications (eg CISSP, CISM, CCSP) This is a key role focused on shaping and embedding secure-by-design engineering practices across a complex, enterprise environment, with strong influence across both technology and security functions. More details available on successful application.

Data Anonymisation Specialist We are looking for a Data Anonymisation Specialist to join a financial services client based in Sheffield. The team are looking to hire a data anonymisation specialist who can be an integral part of helping the business to manage and mitigate any risks associated with third-party data sharing, across several short, medium and long-term planned activities. The Role We are specifically looking for someone with experience in supporting data anonymisation processes and an understanding of data types, structures and schemas. Applying your skills while considering the importance and impact of data security as a whole in a highly regulated environment is crucial. This is a great opportunity to be part of a developing service where your input is valued and can help drive its maturity and efficiencies for the future. Key Responsibilities: Advise application teams on Creation of data dictionaries Identifying sensitive data Define suitable anonymisation approaches Assign column level masking algorithms Operate the data masking service Support the data masking service Working with software vendor support and consultation services Some out-of-hours work supporting the masking service is required Experienced required: Proven experience with Structured data Data anonymisation analysis Data masking techniques Experience working with masking technology platforms Technical troubleshooting Working with stakeholders and building relationships Excellent verbal and written communication skills Immediate start (within 4 weeks) Desirable: Experience with writing and supporting Python code Experience with Delphix data masking or similar tooling Experience working in Azure or other cloud environment Experience in Financial Services or similar regulated sectors More details available on successful application.