Software Engineer – Ag & Trade

Enterprise Analytics – Machine Learning Ops/AI Projects (VP1)

Inheritance Tax Writer 

Global AI Legislation Content Optimisation Lead

VP, Engineering Manager

AVP, Channel Marketing

Senior IT Engineer

Lead Quality Automation Engineer

Senior App Developer – Java, Production Engineering

Analytical Editorial Operations Manager

Responsibilities: Software Development: <ul><li>Design, develop, test, and maintain scalable software applications using Java Spring Boot and JavaScript for backend and frontend development, respectively. Build clean, reusable, maintainable, and well-tested code following software engineering best practices.</li></ul> Full Stack Application Development: <ul><li>Develop end-to-end web and mobile applications using Java Spring Boot, React or React Native, backend APIs, database integrations, and modern UI frameworks to deliver intuitive user experiences.</li><li>Design and develop secure RESTful APIs, backend services, authentication mechanisms, and data access layers while ensuring application scalability and performance.</li></ul> AI Enable Engineering: <ul><li>Leverage AI-assisted development tools such as GitHub Copilot, Cursor, ChatGPT, Claude, Amazon Q, or similar tools to improve engineering productivity.</li><li>Experience integrating LLM APIs or AI-powered capabilities into applications is desirable.</li></ul> Collabration: <ul><li>Collaborate with Product Managers, Business Analysts, UX Designers, QA Engineers, Architects, and cross-functional engineering teams to understand business requirements and deliver scalable software solutions.</li><li>Participate in sprint planning, technical discussions, estimation, backlog refinement, and Agile ceremonies.</li></ul> Testing &amp; Quality: <ul><li>Develop unit tests, integration tests, and participate in peer code reviews to ensure software quality, maintainability, reliability, and performance.</li><li>Follow secure coding standards and engineering best practices.</li></ul> Cloud &amp; Devops: <ul><li>Contribute to CI/CD pipelines and cloud-native application deployments using technologies such as Docker, Kubernetes, Azure, AWS, GitHub Actions, or Azure DevOps.</li></ul> Continous Improvement: <ul><li>Identify opportunities to improve software architecture, engineering standards, automation, developer productivity, and application performance.</li><li>Adopt AI-assisted engineering workflows and modern software development practices.</li></ul> Technical Support: <ul><li>Troubleshoot production issues, perform root cause analysis, and resolve application issues while ensuring minimal business disruption.</li></ul> Requirements: <ul><li>Bachelors degree in Computer Science, Engineering, Information Technology, or a related field (or equivalent practical experience).</li><li>3–5 years of professional software development experience.</li><li>Minimum 3+ years of hands-on full-stack development experience.</li><li>Experience developing production-grade web or mobile applications (not academic or personal projects).</li><li>Strong proficiency in Java Spring Boot and JavaScript.</li><li>Experience developing applications using React or React Native.</li><li>Experience developing backend services using Node.js or equivalent backend technologies.</li><li>Strong understanding of REST API development.</li><li>Experience with relational databases such as PostgreSQL, MySQL, SQL Server, or equivalent.</li><li>Strong knowledge of Git and modern software engineering practices.</li><li>Experience working in Agile/Scrum teams.</li><li>Strong understanding of object-oriented programming, software design principles, and data structures.</li></ul>

Responsibilities: <ul><li>Develop and maintain automation scripts using Linux shell scripting, Python, or other relevant tools.</li><li>Develop and maintain the entire DevOps pipelines.</li><li>Ensure seamless deployment and integration between cloud/prem environments (AWS).</li><li>Integrate AI models into production environments using containerized platforms such as OpenShift.</li><li>Implement and maintain network security protocols to safeguard AI systems and data pipelines.</li><li>Collaborate with cross-functional teams to understand AI workflows and translate them into robust engineering solutions.</li><li>Monitor and optimize system performance, reliability, and scalability.</li><li>Support CI/CD processes and infrastructure for AI model deployment and updates.</li></ul> Requirements: <ul><li>Bachelor’s degree in Computer Science, Engineering, or a related field.</li><li>Bash and Unix/Linux command-line toolkit is a must-have.</li><li>Deep technical background, with hands-on experience in supporting CI/CD pipelines (Bitbucket, Jenkins, Artifactory, Sonar, Veracode for SAST, JIRA workflow, and Confluence).</li><li>Hands-on experience with OpenShift, Docker, Kubernetes.</li><li>Knowledge of cloud platforms (e.g. AWS) is a must-have.</li><li>Exposure to data and network security and compliance in AI systems.</li><li>Knowledge of API integration and microservices architecture.</li><li>Proficiency in Python used both for automation and ML-related tasks</li><li>Knowledge of Workflow Orchestrator, such as Ctrl-M</li><li>Good knowledge of Logging and Monitoring tools, such as Splunk and Geneos.</li><li>Experience with Observability framework, such as Langfuse, Elastic Stack, Grafana, Open Telemetry.</li><li>Understanding of Generative AI (e.g. prompt engineering, RAG pipelines) and Agentic AI concepts.</li></ul>

Role Description: <ul><li>An exciting opportunity has arisen for a Tax Writer specialising in Inheritance Tax to join Tolley, a leading provider of tax research. </li><li>In this role, you will contribute to the development of practical guidance, in-depth content, and AI-driven tools supporting inheritance tax, trusts, and estates. </li><li>You will collaborate with a knowledgeable and supportive team, helping shape the future direction of tax content and solutions. </li></ul> Responsibilities <ul><li>Write and update content for Tolley+ (including both deep research material and practical guidance and AI tools)</li><li>Work with Tolley’s Commissioning team on externally commissioned IHT content</li><li>Assist the Director of Content and the wider business with the strategic direction of Tolley’s Tax offering</li></ul> Requirements <ul><li>CTA/ STEP qualified (or equivalent)</li><li>A good technical knowledge of IHT, Trusts, Estates and Personal Tax, both advisory and compliance</li><li>Strong English writing skills</li><li>Ability to communicate complex tax concepts in an understandable way</li></ul>

Role Description: <ul><li>This is a strategic individual contributor role within the Global Editorial Operations (GEO) team, responsible for driving AI-enabled transformation across legislative and regulatory content. </li><li>The successful candidate will partner closely with Editorial, Product and Technology teams to identify opportunities where AI and Large Language Models (LLMs) can improve content creation, enrichment, summarisation, classification, quality and workflow efficiency at a global scale.&nbsp;</li><li>While experience within legal or legislative publishing would certainly be advantageous, the hiring team is equally interested in professionals who have successfully led AI-enabled workflow optimisation and editorial transformation initiatives in publishing, information services, knowledge management or other content-rich environments.</li></ul> Responsibilities: AI Strategy &amp; Transformation&nbsp; <ul><li>Develop the global strategy for AI-enabled content creation and optimisation.</li><li>Identify opportunities to leverage LLMs, NLP and automation across editorial workflows.</li><li>Lead AI transformation initiatives from concept through implementation.</li></ul> Cross-functional Collaboration&nbsp; <ul><li>Partner with Product, Technology and Editorial teams to deliver scalable AI solutions.</li><li>Drive adoption of AI-enabled tools and new ways of working across global teams.</li><li>Influence stakeholders without direct line management responsibility.</li></ul> Editorial Excellence&nbsp; <ul><li>Define standards for AI-generated and AI-assisted content.</li><li>Ensure quality, consistency and responsible AI practices across editorial operations.</li><li>Develop best practices and training to improve AI capability across the organisation.</li></ul> Requirements: <ul><li>Experience leading AI or Generative AI workflow transformation.</li><li>Strong Editorial, Content Operations or Publishing background.</li><li>Experience implementing LLMs, NLP or AI-driven content solutions.</li><li>Programme or Product Management experience within content-rich environments.</li><li>Excellent stakeholder management and cross-functional leadership skills.</li><li>Legal, regulatory or legislative publishing experience is advantageous but not essential.</li></ul>

Responsibilities: People, Talent and Cross-Functional Collaboration:&nbsp; <ul><li>Ensure optimal staffing levels across front-end, back-end, full-stack, and platform specializations.&nbsp;</li><li>Hire, coach, and develop top-tier engineering talent.</li><li>Manage direct reports and technical leads, address performance issues promptly, and build strong relationships with Product, Design, Platform, Data, and agile train leadership to deliver cohesive, customer-focused solutions.</li><li>Community of Practice, Developer Experience and AI-Driven Engineering: As AI tooling becomes inseparable from modern engineering practice, own the convergence of Community of Practice standards and AI adoption as a single discipline.&nbsp;</li><li>Foster best practice adoption across the engineering community with AI tooling treated as a first-class part of the practice.</li><li>Define standards for responsible AI adoption — including when to use AI coding assistants, agents, skills, and MCP integrations versus traditional approaches.</li><li>Establish clear guidance on the distinction between AI Skills (deterministic capabilities) and Agents (autonomous, multi-step workflows). </li><li>Evaluate, pilot, and roll out AI tools (GitHub Copilot, Claude Code, Cursor, Windsurf, Continue.dev, Aider, Cline, Ollama). </li><li>Define governance for AI use in regulated financial services contexts including data handling, PII protection, IP compliance, and code provenance. </li><li>Track and measure the combined impact of CoP practices and AI adoption on cycle time, PR throughput, defect rates, and developer satisfaction.</li><li>System Architecture and Technical Direction: Own a modern view of system architecture spanning client, server, data, integration, and AI layers.&nbsp;</li><li>Champion patterns such as micro-frontends, BFF, event-driven, API-first, serverless, and composable architectures.&nbsp;</li><li>Partner with Enterprise Architects on platform alignment.&nbsp;</li><li>Guide trade-off decisions (monolith vs. microservices, sync vs. async, build vs. buy). Use AI-powered architecture tools to accelerate design exploration and generate ADRs.</li><li>Ensure teams document decisions so both humans and AI agents can reason about the system. </li><li>Understand how AI tools interact with system architecture — including RAG, vector databases, MCP integrations, and agentic workflows.</li></ul> Strategic Planning, Delivery and Operational Excellence:&nbsp; <ul><li>Ensure plans align with CoP goals, review quarterly commitments to flag risks early, and step in to resolve conflicts between product, design, and engineering.&nbsp;</li><li>Drive CI/CD best practices, ensure high-quality scalable solutions across the stack, and provide on-call support during escalations.&nbsp;</li><li>Support tech leads hands-on when needed, regardless of which layer of the stack the problem lives in.</li></ul> Requirements: <ul><li>Strong hands-on background in modern front-end technologies (ReactJS, TypeScript, NextJS, Cypress) as an anchor foundation, with working knowledge of back-end technologies, APIs, microservices, and data layer concepts.&nbsp;</li><li>Experience with AWS cloud services, CI/CD pipelines, and modern DevOps practices.&nbsp;</li><li>Proven ability to lead engineers working across the full stack.</li><li>Solid grounding in system architecture fundamentals — distributed systems, scalability, CAP trade-offs, caching, messaging, API design — and familiarity with modern patterns (micro-frontends, BFF, event-driven, CQRS, serverless, composable architectures).&nbsp;</li><li>Experience making and documenting architecture decisions (ADRs), with understanding of how AI-native architecture (RAG pipelines, vector databases, agent orchestration) differs from traditional architecture.</li><li>Hands-on experience with AI coding assistants (GitHub Copilot, Claude Code, Cursor, or equivalent) with clear understanding of the difference between AI Skills and Agents, familiarity with MCP (Model Context Protocol), RAG patterns, and experience defining AI usage guidelines and governance frameworks for regulated environments.&nbsp;</li><li>Awareness of the open-source AI tooling ecosystem (Continue.dev, Aider, Cline, Ollama).</li><li>Proven experience leading and growing high-performing engineering teams, running or contributing to a Community of Practice, and strong communication skills with the ability to influence across organizational levels.</li></ul>

Responsibilities: <ul><li>Liaise with clients and peers within Performance Marketing to deliver complex channel requests &amp; problem-solving (e.g., new clients, new offers/products, escalated requests related to timeline or complexity).</li><li>Drive the re-imagination of channel execution, transforming to become more flexible, and agile, and deliver expedited cross-channel campaign solutions for all portfolios.</li><li>Scrum Master of Pod; runs stand-ups, assigns workload, trains Pod members on portfolio nuances, and ensures completion of all work.</li><li>Manage , train &amp; mentor/coach team members to ensure competency in multi-channel execution, career growth pathing and enhance performance.</li><li>Act as subject matter expert for advanced email skillsets (e.g., data, execution processes, platforms, suppliers/agencies).</li><li>Manage project initiatives as assigned (e.g., temporary resources, supplier/agency reviews, platform upgrades, client initiatives, cross-channel strategy).</li><li>Manage file selection and segmentation of channel marketing campaigns and facilitate accurate execution of “file only” requests.</li><li>Collaborate with client marketers on optimal design, creative, and segmentation to drive email touchpoints, assisting clients with the agency creative process and legal approval.</li><li>Work within designated email platforms to build and launch email marketing campaigns, adopting AI features to streamline build processes and improve campaign effectiveness.</li><li>Audits high complexity and/or flagged campaigns, including approving campaign requirements.</li><li>Shares campaign performance metrics back to client teams and account managers for continuous campaign improvement.</li><li>Investigate, develop, and champion pilot strategies for next-generation channel optimization.</li><li>Ensure all campaigns meet required campaign documentation requirements.</li><li>Drive advancement and adoption of responsive design for mobile optimization.</li><li>Ensure adherence to purchase order and invoice management procedures.</li><li>Drive continued adoption and consistent usage of Performance Marketing process tools by team and clients, including compliance with records retention.</li><li>Perform other duties and/or special projects as assigned, with a focus on exploring and integrating AI-driven innovations to improve overall marketing operations.</li></ul> Requirements: <ul><li>Bachelor’s degree with overall 5+ years of experience with the financial services industry or Marketing or Digital experience; In lieu of degree overall 7+ years of experience with the financial services industry or Marketing or Digital experience</li><li>Minimum 5+ Years of email with hands-on experience of building and deploying commercial emails leveraging Agile methodology</li><li>Minimum 5+ years of experience with the enterprise email service platform: Zeta (Athena, Workflow Automation, Channel path optimization, Experience Builder, Propensity &amp; Moment scoring, etc)</li><li>5+ years of experience working with US stakeholders and cross-functional teams</li><li>Exposure to project management tool: COSMOS Workfront (or) MRM (or) Jira (or) ProofHub etc.</li><li>Strong project management skills, attention to detail, and ability to work under tight deadlines</li><li>Proficient with Microsoft Office Suite including Outlook, Word, Excel, and PowerPoint</li><li>Strong Change Management skills - effective communicator, good at holding "crucial conversations" with clients and internal partners</li><li>Strong written &amp; verbal communication skills</li><li>Good team player</li></ul>

Responsibilities:&nbsp; <ul><li>Support the implementation and enhancement of Enterprise Datahub using Databricks, ensuring seamless integration with existing BI and ERP systems.</li><li>Support complex BI and data platform initiatives while maintaining quality, delivery timelines, and alignment with organizational goals.</li><li>Collaborate with business stakeholders, architects, developers, and analysts to translate requirements into solutions.</li><li>Design, implement, test, and optimize moderately complex data pipelines, ETL/ELT flows, semantic layers, and report solutions with the development team.</li><li>Apply technical knowledge and AI-driven optimization opportunities to improve data quality, validation, reliability, and operational efficiency across supported solutions.</li><li>Develop new and impactful ideas, approaches, and automation opportunities that improve the platform, processes, and user experience.</li><li>Communicates moderately complex information clearly, accurately, and in a timely manner, adapting the message to the audience.</li></ul> Requirements: <ul><li>Degree in Business Informatics, Information Technology, Data Engineering/Analytics, Engineering, or a related field.</li><li>Proven experience in data engineering, application support, BI analytics, or related technical roles.</li><li>Strong expertise in Databricks, GitHub, dbt, ETL, Tableau, Power BI, and SQL.</li><li>Familiarity with Generative AI tools (e.g., Copilot, LLM-based assistants) to enhance productivity, development, and documentation.</li><li>Ability to analyze moderately complex problems independently and drive resolution with minimal supervision.</li><li>Strong stakeholder management, teamwork, and clear written and verbal communication skills.</li><li>Experience contributing to technical improvements, process optimization, and operational quality.Proficiency in English, both written and spoken.</li></ul>

Role Description: <ul><li>We are seeking an experienced Lead Quality Automation Engineer to join our growing Quality Engineering practice in Leeds.&nbsp;</li><li>This role is suited to a highly technical Quality Engineer who enjoys solving complex engineering challenges while working directly with clients across multiple industries.&nbsp;</li><li>You will play a key role in designing automation solutions, driving engineering best practices, mentoring team members, and helping organisations modernise their quality engineering capabilities.&nbsp;</li><li>As a Lead Quality Automation Engineer, you will remain hands-on with automation development while providing technical leadership across delivery teams.&nbsp;</li></ul> Responsibilities:&nbsp; <ul><li>Design, develop and maintain scalable automated testing frameworks for enterprise applications.&nbsp;&nbsp;</li><li>Deliver high-quality automation solutions using modern testing tools and object-oriented programming languages.&nbsp;&nbsp;</li><li>Work collaboratively with software engineers, architects, product owners, and business stakeholders throughout the software development lifecycle.&nbsp;&nbsp;</li><li>Champion Shift-Left Quality Engineering practices by embedding testing early in the development process.&nbsp;&nbsp;</li><li>Analyse application source code to identify defects, improve test coverage, and support overall software quality.&nbsp;&nbsp;</li><li>Contribute to Continuous Integration and Continuous Delivery (CI/CD) pipelines to enable efficient automated testing.&nbsp;&nbsp;</li><li>Apply AI-assisted engineering tools and Generative AI technologies to improve testing efficiency and engineering productivity.&nbsp;&nbsp;</li><li>Provide technical leadership, mentoring, and guidance to junior engineers and project teams.&nbsp;&nbsp;</li><li>Support clients in adopting modern Quality Engineering practices and continuous improvement initiatives.&nbsp;&nbsp;</li><li>Participate in technical discussions, solution design, and engineering governance activities.&nbsp;&nbsp;</li></ul> Requirements: <ul><li>Proven experience in Quality Engineering and Test Automation within enterprise environments.&nbsp;&nbsp;</li><li>Hands-on experience developing and maintaining automation frameworks.&nbsp;&nbsp;</li><li>Strong programming experience in one or more object-oriented languages such as Java, Python, C#, JavaScript, or TypeScript.&nbsp;&nbsp;</li><li>Experience with modern automation frameworks such as Playwright, Selenium, or equivalent.&nbsp;&nbsp;</li><li>Experience working with cloud platforms including AWS, Microsoft Azure, or Google Cloud Platform.&nbsp;&nbsp;</li><li>Good understanding of Continuous Integration and Continuous Delivery (CI/CD) principles.&nbsp;&nbsp;</li><li>Experience working with AI productivity tools such as GitHub Copilot, Claude, or similar technologies.&nbsp;&nbsp;</li><li>Strong understanding of software development lifecycle (SDLC) and Shift-Left Testing methodologies.&nbsp;&nbsp;</li><li>Excellent communication and stakeholder management skills with the ability to work directly with clients.&nbsp;&nbsp;</li><li>Demonstrated ability to work independently while managing multiple priorities.&nbsp;&nbsp;</li></ul> Preferred Qualifications&nbsp; <ul><li>Commercial experience implementing Generative AI solutions within Quality Engineering.&nbsp;&nbsp;</li><li>Experience working within consulting or professional services organisations.&nbsp;&nbsp;</li><li>Knowledge of Agentic AI concepts.&nbsp;&nbsp;</li><li>Familiarity with LangChain and LangGraph.&nbsp;&nbsp;</li><li>Experience mentoring engineers and providing technical leadership.&nbsp;&nbsp;</li><li>Exposure to both public and private sector projects.&nbsp;&nbsp;</li></ul> Personal Attributes&nbsp; The successful candidate will demonstrate:&nbsp; <ul><li>Strong analytical and problem-solving skills.&nbsp;&nbsp;</li><li>Excellent verbal and written communication abilities.&nbsp;&nbsp;</li><li>Adaptability in fast-paced consulting environments.&nbsp;&nbsp;</li><li>A continuous learning mindset with evidence of ongoing professional development.&nbsp;&nbsp;</li><li>A collaborative approach with the ability to influence technical and non-technical stakeholders.&nbsp;&nbsp;</li></ul> Working Arrangement&nbsp; <ul><li>This role follows a hybrid working model with an expectation of approximately two to three days per week onsite, depending on client requirements.&nbsp;</li><li>Some travel to client locations may be required.&nbsp;</li></ul> Security Requirements&nbsp; <ul><li>Candidates must either hold Security Clearance (SC) or be eligible to obtain SC Clearance in accordance with UK Government requirements.&nbsp;</li></ul>

Responsibilities: <ul><li>Own runtime health and operational stability of production services.</li><li>Participate in on-call support rotations.</li><li>Investigate production incidents and implement permanent fixes.</li><li>Develop automation for monitoring, alerting, deployments, and incident remediation.</li><li>Improve system reliability, scalability, and performance.</li><li>Perform capacity planning and performance tuning.</li><li>Support Couchbase and PostgreSQL databases.</li><li>Leverage AI tools to improve engineering productivity and operational efficiency.</li><li>Rotate between SRE and feature engineering teams based on business priorities.</li></ul> Requirements: <ul><li>8+ years of backend software engineering experience.</li><li>Strong Java programming skills.</li><li>Experience with REST APIs and microservices.</li><li>Experience with messaging platforms (AMQ, MQ, Kafka).</li><li>Azure or GCP cloud experience.</li><li>Strong debugging and production troubleshooting skills.</li><li>Experience with Couchbase and PostgreSQL.</li><li>Knowledge of monitoring and logging platforms.</li></ul>

Responsibilities: <ul><li>Lead a team of UK-based editors to create, maintain, and deliver exceptional analytical content for Legal and Tax Markets portfolios, as well as for Halsbury’s Laws of England and the Stair Memorial Encyclopaedia of the Laws of Scotland.</li><li>Lead adoption of AI as a core component of editorial workflows, guiding the team to leverage LLMs and AI-enabled tools to drive efficiency, scale, and content innovation; document and iterate prompts, and apply strong editorial judgment to validate, refine, and continuously improve outputs for publication and stakeholder use.</li><li>Set and elevate expectations for team performance and operational success; own, drive and articulate performance KPIs, manage metrics dashboards and production schedules; set and track productivity goals; and take decisive action to ensure content meets quality, timeliness, and completeness targets.</li><li>Support the development of an integrated global team, influencing stakeholders across regions to maximise operational value through shared best practices, tools, and the continuous improvement of digital and print workflows.</li><li>Develop a cross-trained team across UK analytical editorial operations functions, enabling flexibility to respond to changing priorities and workload demands within and across business units.</li><li>Conduct regular coaching sessions, mid-year reviews, and annual evaluations, building a high-performing, accountable team and fostering a culture of continuous improvement, collaboration, and innovation.</li><li>Collaborate closely with commercial (in-market) stakeholders and Global Operations and Global Tech teams, ensuring editorial operations are aligned to global priorities, customer needs, and product performance.&nbsp;</li></ul> Requirements: <ul><li>Bachelors degree in law preferred.</li><li>Candidate must reside in the United Kingdom.</li><li>6+ years of people management experience required.</li><li>Hands-on experience deploying AI in workflows (content/knowledge domain preferred), translating use cases into scalable operating models with a focus on measuring impact on quality, throughput, and risk.</li><li>Proficient in Microsoft Suite, including Excel and PowerPoint; experience using project management software such as Monday.com or Asana; XML a plus.</li><li>Publishing or content experience preferred.</li><li>Change management experience preferred.</li></ul> Skills: <ul><li>Strong interpersonal, communication, and presentation skills; ability to synthesise relevant information for Global Editorial Operations and commercial leaders and your team.</li><li>Collaborative management style with ability to lead cross-functional, team-based, deadline-intensive strategic initiatives and delivery.</li><li>Business/commercial acumen; data analysis.</li><li>Excellent organization/project planning and time management.</li><li>Strong process-orientation (developing consistent processes, documenting best practices, etc.).</li><li>Experience leading teams through organizational transformation, operating effectively in environments where priorities, processes, and ways of working continue to evolve.</li></ul>

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42 ai Jobs found

Software Engineer – Ag & Trade

Enterprise Analytics – Machine Learning Ops/AI Projects (VP1)

Inheritance Tax Writer

Global AI Legislation Content Optimisation Lead

VP, Engineering Manager

AVP, Channel Marketing

Senior IT Engineer

Lead Quality Automation Engineer

Senior App Developer – Java, Production Engineering

Analytical Editorial Operations Manager

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42 ai Jobs found

Software Engineer – Ag & Trade

Enterprise Analytics – Machine Learning Ops/AI Projects (VP1)

Inheritance Tax Writer

Global AI Legislation Content Optimisation Lead

VP, Engineering Manager

AVP, Channel Marketing

Senior IT Engineer

Lead Quality Automation Engineer

Senior App Developer – Java, Production Engineering

Analytical Editorial Operations Manager

WhiteCrow WhiteCrow is on a mission to connect companies with the best talent across the globe.

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