Ai developer jobs in United Kingdom

Dynamics 365 & Power Platform Developer Location: UK Remote - (You must be a UK resident to apply) Salary: £45,000 - £50,000 Job Type: Permanent | Full-Time The Opportunity UK Staffing Group is working with an established and growing UK financial services group to recruit an experienced Dynamics 365 & Power Platform Developer . This is an excellent opportunity for a hands-on developer who enjoys solving problems, improving systems and making a genuine difference to how a business operates. You'll join an established Change Team, taking an active role in developing, maintaining and enhancing the company's Microsoft Dynamics 365 and Power Platform environment. With a mixture of development, automation, integrations and emerging AI technologies, this is a varied position offering plenty of opportunity to influence how business-critical systems evolve. Key Responsibilities Develop, configure and maintain Microsoft Dynamics 365 Sales and Dataverse solutions. Build and enhance Power Apps, Power Automate workflows and business process flows. Develop and support integrations using JavaScript, REST APIs and JSON. Troubleshoot technical issues and improve system performance and reliability. Manage system customisations, security roles, deployments and solution changes. Work closely with internal stakeholders to understand requirements and deliver practical technical solutions. Support integration with Microsoft 365, SharePoint and other business applications. Contribute to the development of Microsoft Copilot and AI-enabled automation. Maintain technical documentation and ensure solutions are secure, scalable and supportable. About You We're looking for somebody with strong practical experience in Microsoft Dynamics 365 and the Power Platform, who is comfortable taking ownership of development work and supporting existing systems. You'll ideally have: Hands-on experience developing and customising Dynamics 365 Sales / Customer Engagement . Strong knowledge of Dataverse, Power Apps and Power Automate . Experience with JavaScript, REST APIs and systems integration. An understanding of solution management, security and deployment processes. Strong troubleshooting and problem-solving skills. The ability to work independently and communicate effectively with both technical and non-technical colleagues. Experience within asset finance, lending or financial services would be advantageous, particularly if you've worked with Leasepath or Solifi. Exposure to Copilot Studio, AI Builder, Power BI, C# or Azure would also be beneficial, but isn't essential. What's On Offer Salary of £45,000 - £50,000 , depending on experience. UK remote working. Permanent opportunity within an established financial services group. Varied technical work across Dynamics 365, Power Platform, integrations and automation. Exposure to emerging Microsoft AI technologies. The opportunity to take ownership of meaningful development projects and influence future system improvements. A collaborative environment where your technical expertise will make a real impact. Interested? If you're an experienced Dynamics 365 Developer looking for a remote opportunity where you can genuinely contribute, we'd love to hear from you. Apply today or contact Gill Twist at UK Staffing Group for a confidential discussion. UK Staffing Group Disclaimer UK Staffing Group is acting as an employment agency in relation to this permanent vacancy. We are committed to equal opportunities and welcome applications from suitably qualified candidates. By applying, you consent to UK Staffing Group processing your personal information in accordance with our privacy policy and applicable data protection legislation. TPBN1_UKTJ

Technical Solutions Consultant Salary to £70k + benefits Role based remotely (UK) with expensed travel to Client sites when required NB: Please only apply if you are eligible for SC and DV clearance (i.e. you have min 10 years continuous UK residency and are a sole (not dual) British national). Company This company is a Workflow & AI Orchestration Specialist. They're on a mission to modernise how public sector organisations manage casework, derive insight from data and deliver citizen services. They operate across two pillars: 1) advise and Implement to provide end to end technology solutions that integrate cutting edge orchestration and 2) agentic AI capabilities. They're growing fast and looking for bright, dynamic people to help build their business. Role They're looking to hire a Technical Solutions Consultant (AKA Solutions Architect / Solution Engineer) with a focus on Workflow & Orchestration. Their successful candidate will be someone that is technically capable and credible (e.g. architect, developer, data scientist, technical business analyst) that they can deploy into the early stages of an engagement (or as part of their business development efforts) to advise on the orchestration/workflow aspect of their tech stack, help navigate the vendor market and act as a key person in and around delivery. Crucially, you'll need to be dynamic, personable, have excellent communication skills, passionate about technology and enjoy being client facing. Ideally, you will have encountered some enterprise or open-source workflow/orchestration products before, but soft skills and general technical credibility are more important. They will expose you to their specific technologies when you join. Other Stuff NB: Please only apply if you are eligible for SC and DV clearance (i.e. you have min 10 years continuous UK residency and are a sole (not dual) British national). Profile 29 recruitment keywords: Camunda orchestration workflow automation BPMN enterprise architecture technical discovery Technology Strategy Consultant Client Solutions Architect Technical Engagement Consultant Workflow Automation Consultant Integration & Orchestration Consultant Principal Technology Consultant London hybrid remote artificial intelligence public sector government pre sales pre-sales presales security cleared SC DV eDV TPBN1_UKTJ

Job Overview: A Platform Engineer is responsible for setting up, configuring, governing, and supporting SaaS-based AI code-generation tools for enterprise engineering teams. This role focuses on enabling secure and scalable adoption of AI-assisted development platforms by configuring tool settings, integrating identity and access management, implementing role-based access controls, and documenting configurations, standards, and operating procedures. Responsibilities: SaaS AI Tool Setup: Configure and administer SaaS tools for AI-based code generation, including tenant settings, workspace structures, usage policies, and integration options. Identity and Access Management: Set up and maintain authentication flows, SSO integrations, Active Directory or enterprise directory mappings, and user provisioning processes. Role-Based Access Controls: Define, implement, and review role-based access controls for developers, administrators, reviewers, and support teams to ensure least-privilege access. Tool Integration: Integrate AI code-generation tools with source control, IDEs, CI/CD pipelines, ticketing systems, and developer portals where appropriate. Governance and Security: Apply enterprise security standards for authentication, authorization, data protection, audit logging, usage monitoring, and policy enforcement. Configuration Documentation: Create and maintain clear documentation covering tool configuration, access models, SSO setup, directory group mappings, operational procedures, and change history. User Onboarding and Support: Support onboarding, access requests, troubleshooting, training, and adoption of AI code-generation tools across development teams. Continuous Improvement: Monitor tool usage, collect feedback, review access periodically, and recommend improvements to configuration, governance, and developer experience. Technical Skills: SaaS Administration: Experience configuring enterprise SaaS platforms, managing tenants or workspaces, applying policies, and supporting users at scale. AI Code-Generation Tools: Familiarity with tools such as GitHub Copilot, AWS Bedrock, Claude Code, Cursor, or similar AI-assisted development platforms. Identity and Authentication: Strong understanding of SSO, SAML, OAuth, OIDC, MFA, authentication flows, enterprise identity providers, and Active Directory or Azure Active Directory concepts. Role-Based Access Control: Ability to design and maintain RBAC models, permission sets, administrator roles, group-based access, and least-privilege access patterns. User Provisioning: Knowledge of directory group mappings, lifecycle management, access request workflows, deprovisioning, and periodic access reviews. Source Control and Developer Tooling: Strong understanding of Git, repository management, IDE integrations, pull request workflows, and developer productivity tools. CI/CD and SDLC Tools: Experience with tools such as Jenkins, Bamboo, GitLab, Bitbucket, Jira, Confluence, Nexus, Zephyr, and Ansible. Security and Compliance: Understanding of audit logging, secrets handling, data protection, secure configuration, SCA, SAST, DAST, and policy enforcement. Documentation: Ability to produce clear configuration guides, operational runbooks, access-control matrices, troubleshooting guides, and change records. Scripting and Automation: Skills in scripting languages such as Python, Bash, PowerShell, Groovy, or Go to automate administrative and reporting tasks. AI Skills: AI Code-Generation Platform Administration: Configure SaaS-based AI coding assistants for enterprise use, including workspace settings, model or feature controls, policy options, and developer enablement settings. Secure AI Tool Adoption: Apply governance practices for AI-assisted coding, including access controls, auditability, acceptable-use policies, secure configuration, and usage monitoring. Identity-Aware AI Enablement: Integrate AI coding platforms with SSO, Active Directory, enterprise identity providers, and role-based access models to support secure user onboarding and administration. AI-Assisted Coding and Scripting: Use AI coding assistants to accelerate Python, Bash, PowerShell, Groovy, and pipeline script development while validating generated code for correctness, security, and maintainability. AI Tool Configuration Documentation: Document configuration decisions, access models, SSO and directory mappings, policy settings, exception handling, and operational procedures for AI tooling. Prompt Engineering for Engineering Workflows: Create clear prompts for troubleshooting, documentation, onboarding, operational runbooks, and developer support scenarios. AI-Enhanced SDLC Optimization: Use AI to improve code review preparation, test generation, pipeline troubleshooting, documentation quality, and developer productivity while respecting enterprise guardrails. Soft Skills: Collaboration: Excellent teamwork and communication skills to work effectively with cross-functional teams. Problem-Solving: Strong analytical and troubleshooting abilities to resolve issues quickly. Adaptability: Ability to adapt to new technologies and methodologies in a fast-paced environment. Attention to Detail: Precision in managing configurations and deployments to avoid errors. Continuous Learning: Commitment to staying updated with the latest trends and tools in platform engineering. TPBN1_UKTJ

Crisil Integral IQ delivers solutions and analytics to top financial institutions, driving strategic transformation, risk optimization, and operational excellence. Our offerings across research, risk, lending, analytics and operations have empowered clients to navigate complex markets, mitigate risks, and unlock new opportunities. Our domain expertise, innovative solutions, and future-ready technologies such as AI and data science give clients the confidence to accelerate growth and achieve sustainable competitive advantage. Our globally diverse workforce operates in the Americas, Asia-Pacific, Europe, Australia and the Middle East. We are seeking an experienced C# Developer to join the risk technology team of one of our banking clients. In this role, you will be responsible for tasks across client’s banking arm and securities business. The risk technology team is responsible for designing, integrating and supporting Middle Office Risk systems in the organisation. The team supports both Market and Credit Risk management across EMEA, Noth America and Asia Pacific regions and is primarily focused on the production of various simulation-based measures used in managing risk and calculating economic capital. Main responsibilities: • Development and design of solutions for middle office risk management systems and related products., • Liaison with users in Risk Management and other related areas to gather requirements., • Production of clear technical scope and test documentation., • Coordinating of change control, includes software management, testing and production releases., • Providing user support, including responding to user queries and supplying resolutions and fixes to issues., • Liaison with third party suppliers of software used in middle office risk management systems., • Providing technical support and maintain production environments hosting middle office risk management systems. Skills required: • Experience of large scale software projects implemented in C# .NET and MS SQL Server., • Experience interacting with quantitative users to resolve complex business problems., • Experience working within a Middle or Front Office Risk Technology team or equivalent role in finance., • Experience of credit and market risk reporting; PV, Sensitivity, Stress, VAR, P&L Rec, PFE, Credit utilisation., • Experience with Markit Financial Risk Analytics., • Experience with Microsoft HPC Server, Grid and Cloud Computing., • Web Development with ASP .NET and MVC, • Continuous integration with TeamCity, • Knowledge of Microsoft Azure. What we offer: • Stable Employment in an International Company : Be part of a globally recognized organization that values stability and growth., • Secure Employment Contract : Enjoy the peace of mind that comes with a solid employment contract., • Comprehensive Benefits Package., • Flexible Hybrid Work Model : Experience the best of both worlds with our hybrid work model, allowing you to work from the office just 3 times a week and enjoy the flexibility of remote work the rest of the time., • Employee Referral Program : Help us grow our team and get rewarded through our Employee Referral Program., • Education Reimbursement Policy : Invest in your future with our education reimbursement policy, supporting your continuous learning and professional development., • Career Development Opportunities : Explore numerous internal and external opportunities to advance your career within the Finance Domain. We are committed to your growth and success. 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Join us at Entrust At Entrust, we’re shaping the future of identity centric security solutions. From our comprehensive portfolio of solutions to our flexible, global workplace, we empower careers, foster collaboration, and build solutions that help keep the world moving safely. Get to Know Us Headquartered in Minnesota, Entrust is an industry leader in identity-centric security solutions, serving over 150 countries with cutting-edge, scalable technologies. But our secret weapon? Our people. It’s the curiosity, dedication, and innovation that drive our success and help us anticipate the future. Platform Architect, Entrust Agentic TrustPosition SummaryThe Platform Architect, is accountable for maintaining architectural coherence across the Entrust Agentic Trust Layer and every Line of Business capability that supplies into it, ensuring independent teams and product lines operate within a common architecture and governance framework.Entrust’s operating doctrine for the Agentic Trust Layer is to complement the enterprise agentic control plane with trusted identity, security, evidence, and assurance capabilities. Our strategy is to architect a solution that brings together decades of Entrust expertise across both product and non-product domains, while actively shaping current and emerging industry standards to ensure they are fit for purpose for the agentic enterprise. By establishing a trusted foundation for AI-driven decision making and automation, Entrust enables organizations to realize the productivity, innovation, and growth benefits of AI with confidence, accountability, and governance.This role is accountable for defining and governing the four-plane reference architecture, Identity, Authority, Execution, and Assurance, as well as the composition model, trust-plane architecture, and dependency contracts that enable multiple product teams to operate as a unified, integrated trust layer. The mandate is to ensure cryptographic assurance, interoperability, scalability, and business agility across the platform while maintaining a cohesive architecture and operating model. The role also serves as a key industry representative, partnering with standards bodies and ecosystem stakeholders to help shape emerging standards for the agentic enterprise, with particular emphasis on agentic trust, digital identity,This role partners closely with executive leadership, product teams, engineering, security, and business stakeholders to ensure technology investments deliver measurable business value while maintaining scalability, security, and operational excellence. The Platform Architect is a named gate on every Entrust Agentic Trust Layer build trackKey ResponsibilitiesTrust-Layer Architecture LeadershipDefine and maintain the architecture strategy and roadmap for the four planes, and hold the reference architecture as the single normative source across product lines.Establish architectural principles, standards, patterns, and governance processes, including the Boundary Review process that arbitrates scope conflicts between Entrust Agentic Trust Layer and the Lines of Business.Own the Line of Business dependency contracts: interface definitions, service levels, versioning commitments, and internal transfer-pricing terms for each supplying primitive.Ensure technology investments align with business objectives and strategic priorities.Serve as design authority and technical gate on all Entrust Agentic Trust Layer build tracks, and as the arbiter of record when product, engineering, and Line of Business positions conflict.Agent Identity, Authority, & Evidence ArchitectureOwn the technical specification of the Agent Passport, including SPIFFE/SPIRE-based workload identity, SVID issuance and rotation, attestation of the issuing workload, and binding to Entrust CA roots and HSM-protected keys.Own the Permission Slip framework: HSM signing, the five binding elements, delegation chain semantics, revocation and expiry, and the Permission Slip Exchange for presentation across organizational boundaries. The term is always used in full and never shortened in specification or customer-facing material.Own the Evidence Ledger and Replay architecture: append-only, tamper-evident, independently verifiable records of authorization and action, with a replay capability that reconstructs an agent episode for an auditor without relying on the agent's own account of it.Own the Policy Engine, MCP Gateway, and Just-in-Time Authorization architecture across the Authority and Execution planes, including inline latency budgets, degradation modes, and explicit fail-open versus fail-closed policy per control point.Own the Continuous Authentication Engine architecture, including signal ingestion, session-risk evaluation, and the re-authorization path when confidence in a human principal or an agent's context degrades mid-session.Own Content Provenance architecture, including C2PA-aligned signing and verification of agent-generated artifacts, and its relationship to CSP Signing Services.Establish frameworks for responsible AI, model governance, explainability, and ethical use, and anchor them in the Assurance plane so that governance claims are evidenced rather than asserted.Partner with business leaders to identify and prioritize high-value agentic use cases.Ensure Entrust Agentic Trust Layer solutions are secure, compliant, scalable, and aligned with industry regulations and third-party assurance regimes.Technology InnovationChampion innovation through the evaluation and adoption of emerging technologies, with priority on agent identity, delegated authorization, verifiable data structures, confidential computing, and post-quantum readiness for long-lived evidence.Develop technology roadmaps supporting the agentic trust layer and competitive advantage.Guide investment decisions related to cloud platforms, cryptographic infrastructure, agent runtimes, and hyperscaler attach surfaces.Evaluate build-versus-buy decisions for Entrust Agentic Trust Layer capabilities, and serve as technical diligence lead on acquisition targets in agent authorization, secrets and non-human identity, and continuous authentication.Governance, Risk & SecurityPartner with cybersecurity teams to ensure architecture aligns with security and compliance requirements.Chair the Architecture Review Board and the Boundary Review forum, escalating unresolved scope conflicts to the Chief Operating Officer for arbitration.Ensure Entrust Agentic Trust Layer solutions comply with privacy, legal, regulatory, and ethical standards, including EU AI Act Article 50 transparency obligations, DORA operational resilience expectations, eIDAS and qualified trust service requirements, and FIPS 140-3 and Common Criteria assurance levels where in scope.Manage technology risks and provide recommendations to executive leadership, including a standing view of where the architecture is designed versus generally available.Leadership & CollaborationServe as a trusted advisor to executive leadership on technology strategy and emerging trends.Influence senior stakeholders across business and technology teams.Lead, mentor, and develop architects and senior technology professionals.Foster a culture of innovation, collaboration, continuous learning, and operational excellence.Represent Entrust in the standards and governance bodies that will define agentic trust, including the x402 Foundation, FIDO Alliance and AP2, OpenID Foundation, IETF working groups, and the Cloud Security Alliance, and convert standards positions into product architecture.Serve as the senior technical voice in analyst engagements, design-partner architecture sessions, and strategic customer reviews with regulated enterprises.Required QualificationsBachelor's degree in Computer Science, Information Technology, Engineering, or a related field.15+ years of progressive technology leadership experience.7+ years leading enterprise architecture programs or platform and security architecture for identity, cryptography, or trust infrastructure products and large-scale technology transformations.Deep, applied expertise in cryptography and public key infrastructure: certificate authorities, key lifecycle and custody, hardware security modules, signing services, and hardware roots of trust.Working expertise in workload identity (SPIFFE/SPIRE, SVIDs, mutual TLS) and modern delegated authorization (OAuth 2.x, token exchange, externalized policy, PBAC and ABAC).Demonstrated experience designing tamper-evident or append-only verifiable systems: Merkle-backed logs, Certificate Transparency, transparency log constructs, or equivalent.Deep expertise in cloud platforms (Azure, AWS, or Google Cloud), including confidential computing and external or customer-managed key management.Experience shipping products under third-party assurance regimes (FIPS 140-3, Common Criteria, eIDAS, SOC 2, FedRAMP), where certification evidence is an engineering deliverable rather than a compliance afterthought.Proven ability to influence executive stakeholders and drive strategic decisions.Experience leading cross-functional teams in complex global organizations.Preferred QualificationsMaster's degree in Computer Science, Engineering, Data Science, Business, or related field.Experience deploying Generative AI and Large Language Model (LLM) solutions at enterprise scale, and securing them in production.Knowledge of agentic AI architectures, AI orchestration frameworks, the Model Context Protocol (MCP), agent-to-agent interoperability, and agentic payment and delegated-mandate rails including x402 and AP2.Familiarity with the competitive control-plane landscape, including Microsoft Entra Agent ID and Agent 365, Google's SPIFFE-based agent identity work, AWS Bedrock AgentCore, and Okta cross-app access, and the ability to articulate where Entrust attaches rather than competes.AI, cloud, cybersecurity, or enterprise architecture certifications.Experience in highly regulated industries, particularly financial services and insurance, where agentic delegation carries direct fiduciary and supervisory consequences.Contribution or maintainer standing in open trust-infrastructure communities such as SPIFFE/SPIRE, Sigstore, or Certificate TranspareAt Entrust, we don’t just offer jobs – we offer career journeys. Here is what you can expect when you join our team: Career Growth: Whether you’re a budding developer or a seasoned expert, we’re invested in your professional journey. With learning-forward initiatives and exciting challenges, your growth is our priority. Flexibility: Life is all about balance. Whether you’re remote, hybrid, or on-site, we offer flexible options that fit your lifestyle. Collaboration: Here, your voice matters. Our teams thrive on sharing ideas, brainstorming solutions, and working together to build a better tomorrow. We believe in securing identities—but it doesn’t stop there. At Entrust, we’re passionate about valuing all identities. Our culture is built on diversity, inclusion, and respect. From unconscious bias training for our leaders to global affinity groups that connect colleagues across the globe, we’re creating a community where everyone is encouraged to be themselves. Ready to Make an Impact? If you’re excited by the prospect of innovating, growing your career, and collaborating in a dynamic environment, Entrust is the place for you. Join us in making a difference. Let’s build a more secure world—together. Apply today! For more information, visit . Follow us on, LinkedIn, Facebook, Instagram, and YouTubeCompensation Range:The anticipated starting base pay for this position is: $251,672-$369,119 per year (in the primary posting location). Actual compensation will be determined based on geographic location, education, skills and experience. This position is also eligible for the company’s discretionary annual incentive plan. In addition to your pay, Entrust offers eligible colleagues and their dependents comprehensive health and well-being programs which include medical, vision, dental, a generous 401(k) matching contribution, life and disability insurance, mental health coaching, virtual fitness programs, paid personal time off plus 12 paid holidays, parental leave and education reimbursement. Please speak with the recruiter for more details. Note: Benefit and Compensation programs are subject to eligibility requirements and other terms of the applicable plan or program. Entrust has the right to end, suspend or amend any of its plans at any time in whole or in part.For US roles, or where applicable:Entrust is an EEO/AA/Disabled/Veterans EmployerFor Canadian roles, or where applicable:Entrust values diversity and inclusion and we are committed to building a diverse workforce with wide perspectives and innovative ideas. We welcome applications from qualified individuals of all backgrounds, and we strive to provide an accessible experience for candidates of all abilities.If you require an accommodation, contact accessibility@entrust.com.Recruiter:Steve DonahueSteve.Donahue@entrust.comSummaryLocation: United States - Field; United Kingdom - FieldType: Full time

Senior Data Architect, Central London Ensure all your application information is up to date and in order before applying for this opportunity. An exciting Senior Data Architect role with a salary of £75,000 to £90,000 and career progression opportunities for a permanent role based full-time in our Marylebone, London office. We are offering a fantastic opportunity for an experienced Data Architect with an immediate start at a market leading, dynamic and renowned property, technology and innovative, technology-based car parking company. Euro Car Parks is a market leading, renowned UK business, established over 50 years ago. The company operates over 3500 sites across the UK and Ireland providing specialist services to a wide range of blue-chip clients. The role We are looking for a hands-on Senior Data Architect who is equally comfortable designing the target state for a multi-system SQL data estate, writing and tuning the T-SQL that delivers it, and standing up the security, monitoring and operational practices that keep it running. You will own data architecture across our reporting, ANPR, finance and operational domains, working alongside our Solutions Architect, Head of Business Solutions and Head of Development as part of a small, high-impact architecture cluster. This is not a paper-architect role. The successful candidate will pick up an in-flight, multi-year programme to decouple and replatform the ETL processes that sit behind every report and every operational data feed at ECP, continue the migration of our data warehouse and data lake to a modern dimensional model, finish the rollout of a principle-of-least-privilege security model across a multi-server SQL estate, and continue the migration of our reporting estate from SSRS to Power BI. You will set the technical direction for the data team and personally deliver the most architecturally significant pieces of work. Main Responsibilities Duties will include: · Setting and personally delivering target architecture for the ECP data estate — the data warehouse, data hub, data lake, raw/ODS layers, dimensional model, audit and schema-change tracking, and the load schedules that tie them together. · Hands-on T-SQL, stored procedure, ETL framework and PowerShell development at expert level — partition design and partition-aligned indexing, clustered/nonclustered index strategy, deduplication, parallel-run cutovers, schema migration, performance tuning of high-impact production queries. · Driving the in-flight ETL replatform — replacing legacy SSIS jobs with a table-driven, parallel-run E-L-T framework, removing Linked Server dependencies, eliminating the BI-server database-restore dependency, and adding monthly partitioning to support retention and archival. · Owning the SQL estate end-to-end as the senior practitioner — security model design and rollout (EntraID groups for Azure SQL, Active Directory groups for SQL on VM, role-based access controls, elimination of shared/admin accounts), backup and restore strategy, retention and archival, replication, monitoring (Redgate Monitor and equivalents), licensing, performance triage, and incident response. · Acting as design authority for the wider data team — coaching the SQL Developers on Power BI authorship, dimensional modelling, query optimisation and report development; reviewing data-related changes from across IT Dev; and providing data-architecture input on cross-team initiatives (mobile, finance, AI, Amdaris partnership). · Owning the Power BI / SSRS reporting platform technically — driving the SSRS-to-Power BI migration, designing the dataset and refresh strategy, and stewarding the report glossary, naming convention and underlying SQL views. · Owning the canonical data dictionary and data domain definitions — keeping types, domains, lineage and load schedules current as the source of truth for engineering decisions across IT Dev. · Triaging and resolving the data-related ticket tail from the application support service desk — ETL job failures, ad-hoc data corrections for blue-chip clients (e.g. visit deduplication, cross-system reconciliations), permissions requests, performance investigations, replication failures. · Active participation in all team ceremonies — daily stand-up, sprint planning, retros, sprint reviews, story-mapping, and architecture review — helping the entire delivery team be the best that they can be. · Contributing to forward planning for the SQL estate direction — Azure SQL adoption, on-prem retirement, tooling roadmap (e.g. dbt, Redgate), and integration with new business systems (e.g. Workday integration currently in flight). Essential Skills: · Expert-level T-SQL and SQL Server internals (5+ years), including partitioning, indexing strategy, query plan analysis, dynamic SQL, and stored procedure design at scale. · Experience with Redgate tooling (Monitor, SQL Prompt, SQL Source Control). · Hands-on data warehouse design and build — Kimball-style dimensional modelling (fact/dim schemas), incremental and full-load patterns, slowly changing dimensions, ETL/ELT framework design. · Production ETL development — SSIS for understanding/decommissioning legacy work, plus modern alternatives (custom T-SQL frameworks, ADF, dbt, or equivalent) for new build. · Operational SQL Server experience as the senior responsible person — backups, restore, security, monitoring, performance triage, replication. Multi-instance estate experience is essential — not a single-database background. · Azure SQL (database, managed instance, or both) including security model (EntraID groups), PaaS limitations, and migration patterns from on-prem. · Power BI / SSRS authorship and architecture — dataset design, semantic model authoring, refresh and gateway strategy, DAX, M, and report-developer-coaching experience. · Data security model design — role-based access controls, principle of least privilege, AD/EntraID group design, schema-level permissions, and elimination of shared/admin account patterns. · PowerShell for SQL administration, ETL orchestration glue, and operational scripting. · Working in an agile environment using JIRA and Confluence — including using Confluence as the canonical home for data dictionary, schema documentation and lineage. · Affinity with AI-driven development tooling for SQL development, code generation, code review and operational automation. We expect the successful candidate to have a view on which tools add value where, and to bring that view to the role. Desirable Skills: · Experience with dbt or comparable analytics-engineering frameworks. · Experience working with legacy SSRS estates and migrating reporting workloads to Power BI. · Experience with on-prem SQL Server on VM as well as Azure SQL — multi-environment estates with different operational characteristics. · Experience with SQL replication (transactional and merge), and the operational realities of running it in production. · CDC and change tracking experience for incremental load patterns. · Experience working in a data-centric organisation with significant volumes of operational data and a heavy reporting consumption pattern. · Domain experience in vehicle/ANPR/parking, transport, retail or financial-services data — high-volume transactional data with complex temporal characteristics. · Azure DevOps experience — YAML pipelines, infrastructure-as-code awareness (Terraform). · Familiarity with ISO 27001 controls relevant to data systems. · Experience designing or maintaining operational data dictionaries and data lineage documentation in Confluence or comparable wikis. Interested? If you feel you have the skills and qualities to undertake this role, please click apply. xrnqpay We are an equal opportunities employer.

About 9fin9fin is the AI platform powering global debt markets — the world’s largest asset class at over $145 trillion.Debt markets are vast, global, and mission-critical, yet still run on fragmented data, PDFs, and manual workflows. 9fin replaces this broken infrastructure with a single platform that centralises proprietary credit data, deep analysis, and high-value workflows across global markets.Today, 9fin powers teams at 300+ blue-chip institutions worldwide, including global banks, asset managers, private equity firms, law firms, and advisors. The business is scaling at exceptional speed, with rapid expansion in the US and best-in-class retention driven by deep workflow adoption.We’re at a defining inflection point. With proven product-market fit and strong, global market pull, 9fin is accelerating toward becoming the category-defining platform for debt markets worldwide.The OpportunityThe AI Engineering team at 9fin is building the next generation of AI capabilities that will power our products for years to come. We're looking for an Engineering Lead to lead the GenAI Platform team, building the shared foundations that enable product teams to develop and operate AI-powered products and agents.Reporting to the Head of AI, you'll own the team's development, technical direction and delivery. You'll shape the platform strategy and roadmap, working with product and engineering teams to understand their needs and decide where shared capabilities will have the greatest impact.You'll combine people leadership with strong engineering judgement, staying close to architecture and code while giving engineers the support and autonomy to do their best work.Every day is different, but here's an example of the kind of things you'll work on:Lead and grow the team through hiring, coaching, feedback and clear expectations for performance and development.Set the GenAI platform's direction and priorities, evaluate technical approaches and adapt the roadmap as product needs and evidence evolve.Own the delivery and operation of reliable, secure and scalable platform capabilities, balancing quality, performance, cost and speed of development.Make the GenAI platform easy for other engineers to adopt and extend through effective APIs, tooling, documentation and clear ownership.Partner with AI and evaluation specialists to establish how platform changes are tested, measured and released.Work with product, engineering and security colleagues to resolve dependencies, communicate trade-offs and turn emerging needs into sustainable capabilities.What Makes This Role DifferentYou'll join an evolving GenAI platform with substantial scope to shape its next stage. You'll help decide what the platform should provide, which approaches to adopt and how the team should grow as 9fin's AI ambitions develop.Your impact will reach across product teams. By building shared capabilities that engineers trust and choose to use, you'll help teams deliver AI products more quickly and operate them with confidence.You'll own both people leadership and technical direction, developing the team while remaining closely involved in the engineering decisions that determine the platform's success.About YouThis role will be a great fit if you:People ManagementHave experience directly managing software engineers, including hiring, performance management and career development.Can build a team with clear priorities, give useful feedback and support engineers to take ownership of their work.Platform EngineeringHave built shared platforms or developer tools that other engineering teams adopted, and understand what makes those teams successful.Can translate product needs into reusable capabilities and balance immediate delivery with longer-term platform development.Production LLMs & Agentic AIHave built or operated complex LLM-powered applications or agent systems in production.Understand the challenges of non-deterministic systems, including evaluation, quality regressions, tool use, reliability, security and cost.Backend, Cloud & OperationsHave a strong backend or infrastructure engineering background, with ownership of distributed production systems in the cloud.Understand how to operate services reliably, including monitoring, incident response, performance and cost management.Collaboration & Technical LeadershipHave the technical depth to review designs and code, assess alternatives and help engineers work through difficult problems.Communicate trade-offs clearly, build effective partnerships across teams and use evidence to make decisions in ambiguous situations.Bonus PointsExperience with any of the following would be highly advantageous:Event-driven architectures or long-running asynchronous workloadsSecure execution environments and access controlsAI evaluation, experimentation or observabilityPlatforms handling sensitive data in finance or other high-trust environmentsBenefitsWe’re a scaling start up, and we enjoy sharing our success, when the company succeeds, we always reinvest that in our people. We also offer huge amounts of responsibility, an abundance of opportunity for growth and a platform to truly excel.Financial & InsuranceCompetitive Salary (our salary bands are benchmarked at the top end of the market)EquityPension (your minimum contributions are 4% with 9fin matching up to 7%)Private Medical InsurancePaid sick leave with Income Protection for long periods of illnessGroup Life AssuranceSeason Ticket Loan & Cycle to Work schemesTime off25 holiday days per yearLocal public holidays (with the ability to exchange them for alternative days)Work abroad for up to 3 months a year1 month paid sabbatical after 5 years of serviceEnhanced parental leave & flexible working arrangements availableTraining & CultureProfessional learning and development budgetAI experimentation budgetQuarterly team socialsSummer and Winter company social eventsHybrid Policy9fin is a hybrid company, and the office is a regular part of how we work. From January 2027, all employees will work from their designated 9fin office on Tuesdays and Wednesdays. Some teams may be asked to be in the office more often, where the nature of their work calls for it. For the rest of the week, you may work from wherever works best for you and your team. Your Talent Partner will share hybrid working details for this role.9fin is an equal opportunities employerAt 9fin we are dedicated to building and promoting a fair and inclusive workplace where everyone can reach their full potential and truly belong. We recognize that building diverse teams enables a more creative and productive environment. If you’re excited about this role but your experience doesn’t perfectly align with the job description, we encourage you to apply anyway. You might just be who we’re looking for — either for this role, or perhaps another.LocationLondonEmployment TypeFull timeDepartmentData & AI

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100 trust GitLab to ship better, more secure software faster.The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software.Fortune 500 is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.An overview of this roleAs an Engineering Manager, Gitaly at GitLab, you'll guide a deeply technical team focused on building, maintaining, and providing expertise on Gitaly, GitLab's Git data storage tier. The team's work spans development of Gitaly, support for teams across GitLab, new tooling, scalability improvements, new data formats, and ongoing maintenance of the Gitaly codebase.This role is a good fit for you if you can guide senior and staff engineers through complex, long-horizon technical work while building a culture of technical rigor, clear accountability, and ownership. You'll help the team balance roadmap delivery with GitLab product and infrastructure priorities, especially as much of the team's work is centered on scaling Git storage and adjacent foundational work. Clear written communication and thoughtful technical judgment are central to how this team succeeds.Project areas include:Scaling Git storageGitaly-related infrastructure and foundational performance workWhat you’ll doManage a team of senior and staff engineers working on Gitaly and Gitaly-related infrastructure.Build a team culture where technical rigor, clear accountability, and ownership are the norm.Drive execution on complex, long-horizon work across performance, scalability, maintainability, and core Gitaly architecture.Guide the team in balancing roadmap delivery with GitLab product and infrastructure priorities.Support your engineers' growth through feedback, mentoring, career development, and stretch opportunities.Foster strong written communication and asynchronous alignment across a fully distributed team.Partner with teams like Git and other stakeholders who rely on Gitaly expertise for performance, feature design, and roadmap clarity.Represent the team credibly with cross-functional partners and in stakeholder conversations about Gitaly direction, performance, and scalability.What you’ll bringExperience managing engineering teams with direct reports, including hiring, performance management, and career development.A management philosophy centered on building engineer agency and ownership, with credibility grounded in consistency, follow-through, and technical judgment.Proven ability to guide highly specialized engineers through ambiguity, structured debate, high-stakes technical tradeoffs, and the realities of operating a service that is critical to GitLab.Strong written communication and remote, asynchronous collaboration skills across distributed, multi-timezone teams. You're comfortable moving work forward in documents, issue threads, and asynchronous reviews, not just in meetings.A track record of delivering under pressure on ambiguous, long-horizon technical projects with clear outcomes, and of reasoning from fundamentals about maintainability, technical debt, and long-term platform viability.Hands-on background in version control systems, distributed systems, storage engines, or other low-level infrastructure domains, with the ability to engage credibly with systems code and architecture, ideally in Go or similarly performance-sensitive environments.About the teamOn the Gitaly team, we build, maintain, and provide expertise on Gitaly, GitLab's Git data storage tier. Our core work includes development of Gitaly, supporting teams across GitLab, and ensuring the long-term viability of the project. We are a deeply technical team that balances long-running technical work with practical delivery. Strong collaboration with partner teams is central to how we succeed.How GitLab Supports Full-Time EmployeesBenefits to support your health, finances, and well-beingFlexible Paid Time Off Team Member Resource GroupsEquity Compensation & Employee Stock Purchase PlanGrowth and Development FundParental LeavePlease note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us.GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know during the recruiting process.

This job is with Braze, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. At Braze, we have found our people. We’re a genuinely approachable, exceptionally kind, and intensely passionate crew. We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity – inside and outside our organization. To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success. Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture. If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can’t wait to meet you. WHAT WE DO The In-Memory Databases & Observability team provides the foundational infrastructure and tools that keep Braze fast, reliable, and observable. Valkey sits at the heart of Braze: every message we send flows through it and our fleet serves around 36 million operations per second while holding terabytes of data in memory. We operate Valkey, Memcached, and Elasticsearch, along with the observability stack (Prometheus, Thanos, and related tooling) that gives engineering teams visibility into their services. These systems handle enormous volumes of traffic and have a direct impact on the reliability of the Braze platform. As a Platform Software Engineer, you'll write code and run infrastructure at scale. You'll build the automation, tooling, and services that make these systems reliable, efficient, and easy for other engineers to use. WHAT YOU’LL DO • Design, build, and operate Redis/Valkey, Memcached, Elasticsearch and Observability systems on Kubernetes with a focus on reliability, performance and cost efficiency at scale, • Write the software that manages these systems: Kubernetes operators, automation, CLIs, and self-serve tooling that replace manual operations, • Own and evolve Braze's observability platform, including metrics collection, long-term storage, alerting, and dashboards, so teams can detect and diagnose issues early, • Lead capacity planning, upgrades, and migrations for large, stateful systems with minimal customer impact, • Partner with engineering teams across Braze to improve how they use these systems, from data modeling and access patterns to query performance and monitoring, • Investigate complex production issues across the stack and turn what you learn into durable fixes and better tooling, • Contribute to the team's on-call rotation and help improve runbooks and write tooling that would help incident response, • Document your designs and decisions clearly for a global team WHO YOU ARE • 5+ years of experience in software engineering, platform engineering, or SRE, with a strong record of writing production code (not only operating systems), • Hands-on experience running stateful, distributed systems in production at scale, • Strong working knowledge of Kubernetes and infrastructure-as-code (Terraform, Pulumi) and comfort building on top of them, • Proficiency in at least one general-purpose language such as Go, Python, or Ruby. We care more about design judgment than language choice, • A systems mindset: you think about interfaces, failure modes, and edge cases, and you debug methodically when things break, • A strong problem-solving mindset and a track record of working with other teams to untangle complex engineering problems, • Clear written and verbal communication, and comfort collaborating across time zones, • A bias toward fixing what's broken instead of working around it NICE TO HAVE • Deep experience with Redis/Valkey, Elasticsearch, or similar systems, including performance tuning, replication, and failure handling, • Experience with OpenTelemetry and observability tools such as Prometheus, Thanos, Grafana, or Datadog, • Experience with Kafka or other streaming systems, • Experience building developer-facing tooling or Kubernetes operators, • A thoughtful approach to using AI tools in your own engineering workflow WHAT WE OFFER Braze benefits vary by location, and we encourage you to review our specific benefits offerings for each country at _. More details on benefits plans will be provided if you receive an offer of employment. From offering comprehensive benefits to fostering hybrid ways of working, we've got you covered so you can prioritize work-life harmony. Braze offers benefits such as: • Competitive compensation that may include equity, • Retirement and Employee Stock Purchase Plans, • Flexible paid time off, • Comprehensive benefit plans covering medical, dental, vision, life, and disability, • Family services that include fertility benefits and equal paid parental leave, • Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend, • A curated in-office employee experience, designed to foster community, team connections, and innovation, • Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching, • Employee Resource Groups that provide supportive communities within Braze, • Collaborative, transparent, and fun culture recognized as a Great Place to Work® ABOUT BRAZE Braze is the leading customer engagement platform that empowers brands to Be Absolutely Engaging™ Braze helps brands deliver great customer experiences that drive value both for consumers and for their businesses. Built on a foundation of composable intelligence, BrazeAI™ allows marketers to combine and activate AI agents, models, and features at every touchpoint throughout the Braze Customer Engagement Platform for smarter, faster, and more meaningful customer engagement. From cross-channel messaging and journey orchestration to Al-powered decisioning and optimization, Braze enables companies to turn action into interaction through autonomous, 1:1 personalized experiences. The company has repeatedly been recognized as a Leader in marketing technology by industry analysts, and was voted a G2 “Best of Marketing and Digital Advertising Software Product” in 2025. Braze was also named a 2025 Best Companies To Work For by U.S. News and World Report, a 2025 America’s Greatest Companies by Newsweek, and a 2025 Fortune Best Workplace in Technology™ by Great Place To Work®, among other accolades. Braze is also proudly certified as a Great Place to Work® in the U.S., the UK, Australia, and Singapore. The company is headquartered in New York with offices in Austin, Berlin, Bucharest, Chicago, Dubai, Jakarta, London, Paris, San Francisco, São Paulo, Singapore, Seoul, Sydney and Tokyo. BRAZE IS AN EQUAL OPPORTUNITY EMPLOYER At Braze, we strive to create equitable growth and opportunities inside and outside the organization. Building meaningful connections is at the heart of everything we do, and that includes our recruiting practices. We're committed to offering all candidates a fair, accessible, and inclusive experience – regardless of age, color, disability, gender identity, marital status, maternity, national origin, pregnancy, race, religion, sex, sexual orientation, or status as a protected veteran. When applying and interviewing with Braze, we want you to feel comfortable showcasing what makes you you. We know that sometimes different circumstances can lead talented people to hesitate to apply for a role unless they meet 100% of the criteria. If this sounds familiar, we encourage you to apply, as we’d love to meet you OUR AI-POWERED BRAZE RECRUITMENT PROCESS At Braze, we’re committed to a fair and transparent candidate experience. To help our recruitment teams focus on what matters most — the person behind each application — we use AI-assisted tools at certain stages of our recruitment process. This includes using AI to analyze the experience, skills and qualifications in your application materials to help with screening and prioritizing candidates. Such screening may amount to a form of solely automated decision-making. We also use AI for administrative support, like scheduling and recording interviews and summarizing interview notes. Our recruiting teams remain responsible for all hiring decisions and are involved throughout the process. Depending on where you are located, you may have certain rights available to you in relation to Braze’s use of AI: • To opt out of AI-assisted review of your application, please click the “Learn More” at the end of the application form below and follow the instructions before submitting your application. Please note, if you apply to multiple roles at Braze, you will need to opt out in relation to each application., • To exercise other types of rights, such as rights to request further information about how AI is used in our recruitment process, to request a retroactive manual review of any decision made or to contest a decision, please contact us at _. Please contact us at with any questions. To find out more about our hiring process, check out . Notice Regarding Automated Employment Decision Tool (NYC Local Law 144) Our use of AI during the application review process may include the use of automated employment decision tools. Pursuant to New York City Local Law 144, for roles based in New York City, or if you reside in New York City, you have the right to request an alternative selection process or a reasonable accommodation instead of AI-assisted review. To opt out of AI-assisted review of your application, please click the “Learn More” button below and follow the instructions before submitting your application. Please note, if you apply to multiple roles at Braze, you will need to opt out in relation to each application. Please submit any other request to our Talent Acquisition team at promptly after applying. Summaries of the most recent bias audit results for such tools are available . Please see our for more information on how Braze processes your personal information during the recruitment process and, if applicable based on your location, how you can exercise any privacy rights.

Pontoon is seeking a skilled Scala Developer on a 12-month contract in the London area, with hybrid on-site work in Bromley three days a week. The role focuses on building and supporting enterprise data pipelines and OpenShift-based solutions for a financial services client. You will leverage Scala, Spark, and modern data engineering practices to develop scalable, secure, and performant data processing systems, contributing to critical digital initiatives and AI-enabled programs. #J-18808-Ljbffr

Devops Developer - hybrid - Watford - onsite 1-2 days a week A brief summary We are a leading media company seeking a hands on senior software developer working on our in house .NET booking platform, spanning software development and the DevOps practices that support it. You'll lead the design and delivery of complex features and integrations, own the application's CI/CD, environments, monitoring and release tooling, mentor other developers and act as a technical deputy to the Tech Lead. Two developers share this role and provide full cover for one another across both the development and operational sides of the platform. What you'll be responsible for · Lead the technical design and end to end delivery of complex application features, enhancements and third party integrations, turning complex or unclear business requirements into practical, well designed solutions. · Own defined areas of application architecture, documenting decisions, dependencies and trade offs, and identify and address technical debt, performance issues and maintainability risks. · Provide senior technical review of code, designs and releases, acting as an approval point for higher risk application changes when delegated by the Tech Lead. · Own the application CI/CD pipelines, deployment automation, environment configuration and infrastructure as code within the frameworks set by Group IT, ensuring delivery is reliable, repeatable and appropriately controlled. · Own automated regression testing and release quality controls, ensuring changes meet agreed functional, technical, security and performance standards. · Implement and maintain application monitoring, logging and alerting, and develop and regularly test backup and recovery procedures in line with Group IT standards. · Lead technical investigation of complex application, deployment and performance incidents, capturing root causes and preventative actions and engaging Group IT on infrastructure, identity/access or cyber security issues. · Mentor Developers and the Junior Developer through coaching, pairing and technical review, and support the Tech Lead in maintaining engineering standards, documentation and release practices. · Maintain runbooks, configuration records and operational documentation so that the other Senior Software Developer can provide effective cover across development and operational responsibilities. · Work with Group IT, third party system providers and technical partners on shared dependencies, integration design and issue resolution, and use approved AI assisted tooling with appropriate validation and human oversight. Requirements · Depth in either C#/.NET development or DevOps/platform engineering, with solid working capability in the other and a willingness to work across both; the two post holders cover each other fully. · C#/.NET experience delivering and operating complex production applications, including application design, API and systems integration. · Experience of CI/CD, deployment automation, infrastructure as code, monitoring and backup/recovery in production, using Azure DevOps, GitHub Actions or comparable tooling. · Strong understanding of automated testing, secure development, cyber security, identity/access and change control principles, with the judgement to escalate matters outside application ownership. · Ability to turn complex or ambiguous requirements into deliverable solutions and explain technical options and trade offs to non technical stakeholders. · Experience mentoring other developers, with a calm, structured approach to incidents and strong documentation skills. · Confidence working across software engineering, Business Systems, Group IT and third party partners; Dynamics 365 Business Central or other ERP integration experience is highly desirable. If this is you and you want to know more, please send me your CV TPBN1_UKTJ

The ServiceNow Solution Architect will lead the design, development, and implementation of ServiceNow solutions that align with business requirements and IT service management best practices. This role involves collaborating with stakeholders to define technical architecture, creating scalable solutions, and ensuring seamless integration with existing systems. The architect will serve as the technical authority, providing thought leadership and guidance on leveraging the ServiceNow platform to optimise processes, improve efficiency, and drive innovation. • Hybrid: Once in a month, • Expertise in ServiceNow platform architecture, including module Customer Service Management, Application Scopes, Data Model, development, and integration and deployment., • Excellent communication and stakeholder management skills., • Solid understand of ServiceNow as a platform and the product capabilities and best practices., • Familiarity with Agile methodologies and experience in participating in PI planning., • Knowledge of AI/ML and automation capabilities within ServiceNow., • Certification in ServiceNow (e.g., Certified Implementation Specialist -CSM, Certified Application Developer)., • Understanding of AI capabilities and how these can be implemented within a public sector governance framework #J-18808-Ljbffr

Oliver Bernard is seeking experienced Golang Engineers to join a global financial leader's Platform Engineering and AI programme in Greater London. You will work at the intersection of cloud-native engineering, internal developer platforms, and emerging AI technology to build secure, scalable platforms and tooling that empower engineering teams. This role focuses on developing AI-enabled platforms, internal DevOps tooling, and enterprise-grade infrastructure to support GenAI adoption. #J-18808-Ljbffr

Scale AI is seeking a Senior Infrastructure/Platform Leader to drive the roadmap for scalable, secure infrastructure supporting AI-driven applications. You will manage a growing engineering team, align with product and security leadership, and ensure high-availability and robust developer experience. The role emphasizes cloud and on-prem hybrid environments, strong CI/CD practices, and leadership to mentor engineers and shape culture within the team. #J-18808-Ljbffr

Cloudflare, Inc. is seeking a Senior Product Counsel to partner with product, engineering, and business teams on complex legal issues at the intersection of law and technology. The role emphasizes depth in technology transactions, privacy, and regulatory matters, with high autonomy and impact across Cloudflare’s security, networking, AI, and developer products used globally. The ideal candidate brings a technical mindset, strong negotiation skills, and the ability to balance risk with business #J-18808-Ljbffr

ioTech Solutions is seeking an AI Application Engineer to build AI-powered applications and agents that streamline business workflows. You will identify use cases with business stakeholders, develop AI-driven solutions and integrate LLMs like ChatGPT and Claude into internal tools. This role is for a hands-on developer with practical AI project experience and a keen interest in emerging AI technologies, working to implement automation opportunities and improve productivity. #J-18808-Ljbffr

Citi London is seeking a Senior Applications Developer to lead the front-end effort for FX pricing platforms. You will own the full software lifecycle, drive AI-assisted coding, and guide UI architecture across distributed teams. The role focuses on high-throughput React applications, real-time messaging, and cross-application interoperability, with a hybrid work model and a strong compensation package. #J-18808-Ljbffr

We are looking for an AI Application Engineer to build AI-powered applications and agents that improve business workflows and productivity. Working closely with business stakeholders, you will identify use cases, develop AI-driven solutions and integrate LLMs such as ChatGPT and Claude into internal applications. This role suits a hands-on developer with practical AI project experience and a genuine interest in emerging AI technologies. • Develop AI agents and LLM-powered applications for internal use., • Implement agent loops, tool/function calling and integrations with external systems., • Work with stakeholders to identify automation opportunities and translate requirements into practical solutions., • Integrate, test and improve AI tools and applications., • Share knowledge of emerging AI technologies and best practices., • 3–5 years of relevant software development or AI application experience., • Hands-on experience building AI applications or LLM-based projects., • Understanding of AI agents, tool/function calling and agent execution loops., • Experience integrating LLM APIs, such as OpenAI or Anthropic., • Strong problem-solving, communication and stakeholder management skills., • Experience with LangChain, LangGraph, PydanticAI or similar frameworks., • Background in fintech, financial services or technology companies., • Experience with API integrations and workflow automation. #J-18808-Ljbffr

Join one of the world’s leading Consultancies in the KDB+ space and work with the biggest names in Capital Markets whilst investing in your own personal development and expertise. This is an incredibly rewarding opportunity which places solving complex challenges and collaborating at the centre if your work, whilst creating a workplace which fosters and encourages continuous learning. If you’re a KDB+ developer who is looking to make the next step in your career in a supportive and high-performing environment, then this is your opportunity! In this role, you will be tasked with supporting project delivery alongside Project Managers and Senior Engineers, as well as being a key player in working as part of the wider team to deliver effective solutions on time and on budget. You will oversee maintaining and testing performant code for client applications as well as being expected to generate actionable reports based on time-series data analysis. Given your experience, you will also be expected to be collaborative with business users to define new application requirements and contribute internally to our growth culture by mentoring junior developers. • Global relocation opportunities, • 27 days annual leave, • Minimum 2 years KDB+ development experience, • Good understanding of q language and time-series data structures, • Capability in logic and problem-solving, • An understanding of methodologies associated with software development and SDLC, • Comfortable working as part of a team, • Experience in Capital Markets or Investment Banking, • Experience with AI tooling (Claude, Co-Pilot), • Knowledge of Python and cloud platforms (AWS, GCP, Azure), • Exposure to project leadership/management #J-18808-Ljbffr

We are seeking a highly skilled Senior Fullstack Developer with deep expertise in React and strong experience deploying applications to cloud platforms, ideally Microsoft Azure (AWS experience also welcome). This role will focus on building, deploying, and optimising scalable, high-performance web applications that handle large volumes of data and integrate AI-driven components. You will work closely with backend engineers, cloud specialists, and AI teams to deliver intelligent, production- ready applications at scale. • Design, build, and maintain scalable front-end applications using React, python and modern JavaScript/TypeScript., • Build front-end solutions that support high data throughput, performance optimisation, and responsiveness at scale., • Collaborate on the deployment of applications to cloud environments (Azure preferred; AWS acceptable)., • Integrate front-end applications with AI-powered services, including LLM-based APIs and workflows and Agentic AI systems, • Automation and orchestration services (particularly within Azure), • Work with containerised environments (e.g. Docker) and contribute to cloud-native deployment pipelines., • Support CI/CD processes and promote reliable, repeatable deployments., • Extensive experience as a Senior fullstack Developer or similar role., • Expert knowledge of React & Python, including modern patterns, hooks, state management, and performance optimisation., • Proven experience deploying applications to cloud platforms, ideally Microsoft Azure., • Experience integrating front-end applications with APIs, microservices, and distributed systems., • Familiarity with container technologies such as Docker and container-based deployment models., • Experience working on applications that handle large datasets or high-traffic environments., • Strong understanding of front-end performance, observability, and optimisation techniques #J-18808-Ljbffr

WisdomTree is seeking a hands-on Software Engineer to lead the CUBE platform, its architecture and developer experience. You will work with investment professionals to turn ideas into robust research applications, using AI coding agents to prototype and refine solutions. Expect to simplify environments, improve CI/CD, and build secure, scalable Python and web-based tools. You’ll collaborate across the WisdomTree platform, integrating Databricks, APIs, data stores and cloud infrastructure, while #J-18808-Ljbffr

IGNITE is Aristocrat Interactive’s studio incubation and acceleration initiative, designed to identify, support, and scale emerging game studios by providing access to Aristocrat’s platform, distribution network, and expertise. The program plays a key role in driving innovation, expanding content diversity, and building the next generation of strategic supplier partners. The Head of IGNITE is responsible for defining and accomplishing the IGNITE strategy as a core pillar of Aristocrat Interactive’s Aggregation business. The role leads the development of a differentiated studio incubation and partnership model, driving long-term content innovation, supplier diversification, and commercial growth. Reporting into the VP Aggregation, the role ensures IGNITE delivers strategic and financial value. This is achieved by building a network of promising studios and integrating them into the global aggregation ecosystem. • Define and implement the global IGNITE strategy aligned to Aggregation and wider Interactive objectives., • Position IGNITE as a core differentiation lever within the aggregation ecosystem., • Own the roadmap for studio incubation, development, and long-term portfolio growth., • Contribute to overall aggregation strategy through innovation and emerging content pipelines., • Build and manage a portfolio of IGNITE studios, with clear performance frameworks and targets., • Drive commercial outcomes including revenue contribution, content performance, and value on studio investment., • Identify high-potential studios and scale them into strategic partners within the aggregation network., • Supervise lifecycle from onboarding → development → scaling → long-term partnership., • Evolve IGNITE from a program into a structured, scalable ecosystem model., • Define support models (tools, funding, mentorship, distribution access) for participating studios., • Coordinate with Product and Platform teams to ensure flawless integration into the aggregation platform., • Establish frameworks for exclusivity, co-development, and long-term partnership structures., • Align IGNITE content strategy with global market needs and operator demand., • Support expansion efforts for IGNITE studios into regulated markets, working in close partnership with Compliance and Regional teams., • Ensure IGNITE contributes to solving key gaps in the aggregation portfolio (e.g. innovation, differentiation, new formats)., • Define success metrics across IGNITE (studio performance, content success, commercial return)., • Use data and insights to prioritise studio investment, scale decisions, and portfolio optimisation., • Provide regular reporting and strategic recommendations to VP Aggregation and senior leadership., • Build Aristocrat’s reputation as a leading studio partner and incubator., • Represent IGNITE at industry events, connecting with growing game creators and inventive networks., • Develop relationships with founders, developers, and strategic partners globally., • Work closely with VP Aggregation, Product, Engineering, Commercial, and local and area groups., • Drive alignment between IGNITE and broader aggregation and content strategy., • 5+ years’ experience in iGaming, gaming platforms, digital marketplaces, or adjacent industries., • Experience in studio partnerships, developer ecosystems, or incubation/acceleration models., • Strong commercial and strategic capability., • Strong network within game development / studio ecosystem., • Understanding of content performance, distribution, and aggregation models., • Deep understanding of multi‑jurisdictional iGaming regulations and content certification processes., • Experience scaling early-stage studios or content portfolios., • Experience running or sponsoring studio incubation / acceleration programs., • P&L ownership or direct commercial accountability., • Strategic ecosystem thinking, • Commercial and portfolio management, • Innovation and product attitude, • Data-driven decision making, • Executive team member influence, • A clearly defined IGNITE strategy established as a core pillar of the Aggregation business., • A strong, scalable pipeline of high-potential studios delivering differentiated and driven content., • Meaningful commercial contribution from IGNITE, including revenue growth and portfolio diversification., • Recognition of Aristocrat as a premier partner for emerging studios and innovation in the iGaming ecosystem. This job description may have been reviewed and enhanced using AI-assisted tools to improve clarity, consistency, and inclusivity. All final content, role requirements and hiring decisions remain subject to human review and approval by Aristocrat. We offer a comprehensive pay and benefits package designed to stay competitive in the market, support your wellbeing, and recognise your contribution to our success. Our approach is underpinned by a pay-for-performance belief in rewarding individual impact. Your specific compensation package will be determined by factors such as your skills, experience, qualifications, and location. Depending on your role and location, you may be eligible for annual bonuses and incentives, health and wellbeing benefits, paid time off, retirement plans, insurance coverage, and other local or statutory benefits. Specific details about compensation and benefits for this position will be discussed during the recruitment process. #J-18808-Ljbffr

Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! In this role you will develop and improve the vehicle trajectory and motion controllers that translate the Wayve AI Driver outputs into safe, smooth and robust vehicle motion across different vehicle platforms and applications (both ADAS and AV). You’ll tackle cutting-edge challenges: developing principled controls approaches, implementing real time systems, testing in complex scenarios and refining our evaluation pipelines. This is a great chance to make an impact on the AV industry and grow alongside a focused team of passionate experts at the forefront of autonomous driving technology. • Develop, integrate, tune, and validate control, trajectory-generation, and action-processing algorithms across different vehicle platforms, operating modes, and challenging driving conditions, ensuring robust real-world performance, • Maintain and evolve our controls software architecture that connects AI Driver outputs to real-time vehicle actuation and feedback, • Implement and maintain production-quality, latency-sensitive control software in C++ for deployment to prototype, reference and production vehicles, • Use simulation, closed-loop evaluation and on-road testing to characterize controller behaviour, diagnose performance issues and validate improvements, • Work with teams across Wayve to define controller interfaces, integrate with adjacent systems and enable new vehicle platforms and product features, • Strong fundamentals in control theory, with depth in one or more of optimization, model-predictive control, numerical methods or dynamical systems, • Practical experience developing, tuning and validating control or motion systems on real world physical systems, • Strong software engineering skills, with experience building reliable production-quality systems in C++, • Experience with latency-sensitive or real-time software, • Ability to reason about and debug system-level behaviour in complex robotic systems across software and hardware, • Applied experience with model predictive control, trajectory optimization, motion planning etc., • Direct experience with mobile robotics or autonomous vehicle systems, • Experience in the automotive industry, including ADAS or vehicle controls, • Experience with safety-critical systems, validation, and relevant industry standards (e.g. ISO 26262), • Applied machine learning experience, or experience developing systems that integrate with ML components This is a full-time role based in our office in London, England. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know. We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. For more information visit Careers at Wayve. To learn more about what drives us, visit Values at Wayve For US candidates only, please visit E-Verify Notice and Participation and Right to Work DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory. #J-18808-Ljbffr

We're seeking someone to join our Technology Architecture & Modernization (A+M) team as an AI Cloud Solution Engineer in Operation Technology to help build a firmwide AI Development Platform that will aid the adoption of AI capabilities throughout the enterprise. The ideal candidate will have strong hands-on experience of building secure cloud services, software platforms, API based development, etc. Knowledge of LLM models and hands-on experience implementing solutions using Generative AI are also preferable. The candidate will have a strong passion for using AI to increase productivity as well as help generate new ideas for product improvements. This role requires a strong combination of both software development and cloud infrastructure knowledge and experience. The successful candidate must be able to demonstrate technical leadership with a track record of developing and driving innovative solutions. Morgan Stanley is advancing AI across the firm through applications such as Genome and AI@MS Assistant, helping deliver more personalized advice to clients while creating new opportunities to enhance capabilities for both internal users and clients. Technology Architecture & Modernization (A+M) sits at the center of Morgan Stanley’s technology strategy, bringing together architecture, product delivery, and developer enablement to advance the Firm’s multi-year modernization roadmap. As the group grows, this role offers the opportunity to solve complex, high-impact challenges with broad visibility across Technology and to collaborate with high-performing, multidisciplinary teams, including Distinguished Engineers. In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Software Engineer position at Director level, which is part of the job family responsible for developing and maintaining software solutions that support business needs. Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world. • Collaborate with other engineers and teams to onboard new cloud services to Morgan Stanley, • Architect new cloud solutions for new use cases consistent with Morgan Stanley security standards., • Build POC’s and example code through which developers can access Gen AI models via standard APIs., • Have an application developer mindset and build common, reusable solutions to scale generative AI use cases., • Contribute to major design decisions and product selection for building generative AI solutions., • Develop tooling and self-service capabilities for deploying AI solutions. Collaborate with developers to enhance the developer’s experience when building and deploying AI applications., • Document best practices on generative AI ecosystems, when to use which tools, available models such as GPT, Llama, Claude, etc. and libraries such as Langchain and Sematic Kernel., • Experience implementing enterprise architecture in at least one major cloud provider (Azure, AWS, GCP)., • Bachelor's or a master's degree in computer science or related field, or equivalent job experience., • Strong hands-on development background in Python (specifically API based development in Flask or FastAPI), additional languages are a bonus., • Experience building applications using AI development services on prominent cloud platforms such as Azure Open AI, Azure AI Foundry, Azure Search, Azure Cognitive Services, Terraform, AWS Bedrock, AWS Sagemaker, Gemini enterprise agent platform., • Experience building AI applications, preferably Generative AI and LLM based apps., • Experience deploying resources to the cloud via terraform and CI/CD pipelines, • Experience designing and implementing highly scalable architecture for enterprise applications, • Strong desire and ability to influence development teams and help them adopt AI., • At least 4 years’ relevant experience would generally be expected to find the skills required for this role. At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste about-us/global-offices into your browser. If this role is deemed a Certified role and may require the role holder to hold mandatory regulatory qualifications or the minimum qualifications to meet internal company benchmarks. Interested in flexible working opportunities? Morgan Stanley empowers employees to have greater freedom of choice through flexible working arrangements. Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents. Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences. For more information, please visit: people-opportunities/eeo. #J-18808-Ljbffr

Galaxy is seeking a VP, Senior Backend Developer to lead backend engineering for blockchain infrastructure in London. You will own end-to-end backend design, APIs, Ethereum data pipelines, and staking infrastructure, while shaping architecture and engineering culture. The role emphasizes ownership, high performance, and collaboration across remote teams, with hybrid working arrangements and focus on AI-assisted development and scalable systems. #J-18808-Ljbffr

We're seeking someone to join our Technology Architecture & Modernization (A+M) team as an AI Cloud Solution Engineer in Operation Technology to help build a firmwide AI Development Platform that will aid the adoption of AI capabilities throughout the enterprise. The ideal candidate will have strong hands‑on experience of building secure cloud services, software platforms, API based development, etc. Knowledge of LLM models and hands‑on experience implementing solutions using Generative AI are also preferable. The candidate will have a strong passion for using AI to increase productivity as well as help generate new ideas for product improvements. This role requires a strong combination of both software development and cloud infrastructure knowledge and experience. The successful candidate must be able to demonstrate technical leadership with a track record of developing and driving innovative solutions. Morgan Stanley is advancing AI across the firm through applications such as Genome and AI@MS Assistant, helping deliver more personalized advice to clients while creating new opportunities to enhance capabilities for both internal users and clients. Technology Architecture & Modernization (A+M) sits at the center of Morgan Stanley’s technology strategy, bringing together architecture, product delivery, and developer enablement to advance the Firm’s multi-year modernization roadmap. As the group grows, this role offers the opportunity to solve complex, high‑impact challenges with broad visibility across Technology and to collaborate with high-performing, multidisciplinary teams, including Distinguished Engineers. In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Software Engineer position at Director level, which is part of the job family responsible for developing and maintaining software solutions that support business needs. Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world. • Collaborate with other engineers and teams to onboard new cloud services to Morgan Stanley Architect new cloud solutions for new use cases consistent with Morgan Stanley security standards., • Build POC’s and example code through which developers can access Gen AI models via standard APIs., • Have an application developer mindset and build common, reusable solutions to scale generative AI use cases., • Contribute to major design decisions and product selection for building generative AI solutions., • Develop tooling and self-service capabilities for deploying AI solutions., • Collaborate with developers to enhance the developer’s experience when building and deploying AI applications., • Document best practices on generative AI ecosystems, when to use which tools, available models such as GPT, Llama, Claude, etc. and libraries such as Langchain and Sematic Kernel., • Experience implementing enterprise architecture in at least one major cloud provider (Azure, AWS, GCP)., • Bachelor's or a master's degree in computer science or related field, or equivalent job experience., • Strong hands‑on development background in Python (specifically API based development in Flask or FastAPI), additional languages are a bonus., • Experience building applications using AI development services on prominent cloud platforms such as Azure Open AI, Azure AI Foundry, Azure Search, Azure Cognitive Services, Terraform, AWS Bedrock, AWS Sagemaker, Gemini enterprise agent platform., • Experience building AI applications, preferably Generative AI and LLM based apps., • Experience deploying resources to the cloud via terraform and CI/CD pipelines, • Experience designing and implementing highly scalable architecture for enterprise applications, • Strong desire and ability to influence development teams and help them adopt AI., • At least 4 years' relevant experience would generally be expected to find the skills required for this role., • #LI-Hybrid #LI-LM1 At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work‑life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste about-us/global-offices into your browser. If this role is deemed a Certified role and may require the role holder to hold mandatory regulatory qualifications or the minimum qualifications to meet internal company benchmarks. Interested in flexible working opportunities? Morgan Stanley empowers employees to have greater freedom of choice through flexible working arrangements. Speak to our recruitment team to find out more. Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents. Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences. For more information, please visit: people-opportunities/eeo. At Morgan Stanley, we advise, originate, trade, manage and distribute capital for people, governments and institutions, always with a standard of excellence and guided by our core values. Morgan Stanley is dedicated to providing first‑class service to our clients, in a way that reflects our commitment to creating a more sustainable future and fostering stronger communities around the world. In each line of business, we strive to demonstrate our belief in the power of transformative thinking, innovative strategies and leading‑edge solutions—and in the ability of capital to work for the benefit of all society. #J-18808-Ljbffr

Solution Architect (Data and AI Platform) Are you passionate about shaping the future of enterprise data platforms and enabling innovative, AI-powered solutions at scale? Do you enjoy defining architecture strategies that deliver secure, governed, and high-performing data platforms that create real business impact? About our TeamThe TIO Architecture Team is the design and architecture function of Elsevier's Technology Infrastructure and Operations organization and is responsible for architectural design and consultancy across a multitude of Technology areas. This includes our extensive cloud-based technology footprint, the user experience across the company (including our large developer community), as well as the central tooling and development platforms that enable the company to rapidly advance. The team is particularly strategically focussed on today's business need on various aspects of AI (both AI developer tooling and end user GenAI technologies).About the RoleThis Solution Architect role is an exciting opportunity to lead the design and evolution of Elsevier’s Operational Data Platform. You will work alongside an embedded engineering team to architect Snowflake-based data warehouse solutions and related systems, develop AI-enabled capabilities, and work with engineering, data, and business stakeholders to deliver secure, scalable, and compliant data platform capabilities that support strategic business outcomes. Responsibilities Lead the architecture and design of Snowflake-based data warehouse solutions and dependent systems Develop next-generation platform capabilities, including real-time ingestion, AI-driven insights and API-led integration Design data structures and interfaces that enable natural-language querying and GenAI use cases Support the adoption of modern data-engineering methods and best-in-class tooling Integrate data toolchains with internal systems using API-driven approaches, including MCP Establish secure, standardised best practices across data warehousing, integration and AI tooling Define inter-system data flows, architectural roadmaps and governance standards Ensure solutions comply with Elsevier and RELX policies and standards Problem-solve, involving leading teams in identifying, researching, and coordinating the resources necessary to effectively troubleshoot/diagnose complex system issues Drive technical direction and architecture evolution via reviews, roadmaps and on-floor leadershipRequirements Significant experience in software development, solution architecture or data-platform architecture Strong experience designing Snowflake data warehouse solutions and working across the Snowflake ecosystem Understanding of operational technology data, technology assets, dependencies, relationships and end-to-end flows within a large enterprise Solution architecture across Snowflake, DBT and SqlDBM, including data modelling and schema design AWS architecture, including EC2, RDS, databases, SQS, Kinesis, S3 and Lambda, plus familiarity with Azure Experience with real-time ingestion, streaming and processing technologies, API design, graph databases, and AI-enabled solutions including MCP Familiarity with Tableau, GitHub, Jira, CI/CD and Agile delivery Strong knowledge of architectural governance, requirements gathering and end-to-end data-flow design Non-Technical requirements: Strong organisational, project planning and time management skills, with the ability to manage multiple priorities, complex projects and change initiatives across diverse teams. Excellent problem-solving abilities, including identifying issues, assessing risks, developing solutions and coordinating resources to drive successful outcomes.* Excellent communication, presentation and stakeholder management skills, with the ability to translate complex technical concepts into clear, concise messaging for audiences ranging from engineers to senior executives.Work in a Way That Works for YouWe promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance, and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working PatternWorking flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. About the BusinessA global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world.We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. #J-18808-Ljbffr

Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems—across high‑stakes industries like finance, manufacturing, defense, healthcare, and the public sector—co‑creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low‑ego and team‑spirited. As a Technical Project Lead on the HPC team, you will oversee the delivery of Mistral’s high‑performance computing projects from deployment to production. This role ensures our HPC clusters are delivered on time, within budget, and aligned with technical and operational goals. You will manage critical resources, negotiate with data centers and infrastructure providers, and facilitate collaboration across teams. Based in Paris or London (with frequent travel to Paris if remote), your work will directly impact Mistral’s ability to scale its AI infrastructure. • Oversee the delivery of Mistral’s HPC clusters, from hardware deployment to production readiness., • Strategically manage project timelines, deliverables, and milestones to ensure on‑time completion., • Allocate resources and manage budgets to support project goals., • Negotiate with data centers and infrastructure providers to secure necessary agreements., • Facilitate cross‑functional collaboration to align technical and operational objectives., • Communicate project progress and strategic direction to stakeholders., • Implement quality control measures to ensure adherence to project standards., • Technical degree in computer science, general engineering, or a related field., • Proven experience in large infrastructure project management, preferably in HPC or related fields., • Deep program management experience with a track record of delivering complex projects., • Excellent communication and stakeholder management skills., • Strong negotiation skills for vendor and partner engagements., • Ability to work collaboratively in cross‑functional team environments. We offer a comprehensive benefits package designed to support your well‑being, growth, and work‑life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location‑specific perks. For the most up‑to‑date details on benefits available in your location, please refer to our Benefits page. #J-18808-Ljbffr

Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. As a People Tech & Analytics Engineer on the People team, you will build the systems, data pipelines, and automations behind how Mistral runs People Operations. Reporting to the People Tech & Analytics Lead, you will turn the roadmap into reality: wiring our HR tech stack together, making data flow reliably between systems, and automating people processes with third-party tools as well as Mistral's own models, agents, and APIs. This is an individual contributor role for someone who loves building. You will spend most of your time in the systems and the data, deep-diving into problems: connecting HRIS, ATS, payroll, identity, and finance tools, standing up the data layer behind our people metrics, and shipping automations that remove manual work from the People team. If you are a data engineer or people technology specialist who wants to deliver meaningful automation outcomes at Europe's largest AI company, this is the role for you. • Build, maintain, and troubleshoot integrations and data pipelines across our HR systems (HRIS, ATS, payroll, identity and finance), run data quality checks, and fix inconsistencies at the source., • Implement and evolve the Metabase visualisation layer of our people data lake, build the dashboards and self-serve reporting managers and People partners rely on, and run hand-on analyses of workforce trends, retention and organisational health, supporting the move to conversational insights for leadership., • Design, build, test and document automated workflows, mainly with Mistral's own models, agents and APIs, with human review wherever decisions affect people, monitor live automations with alerting, error handling, logging and runbooks, and prototype AI use cases on people processes, productionising the ones that prove their worth., • Implement configuration changes across the HR tech stack (workflows, fields, roles and permissions, new countries and entities), support testing and rollout of system changes and integrations, and act as first-line troubleshooter for the People team, leading issue resolution through to production with a clear audit trail., • Architect end-to-end HR workflows with key stakeholders in HR Operations, Business Partnering and Reward, and implement data governance in practice: quality standards, access controls, retention rules and audit trails for employee data., • Provide clear enablement materials in Notion so the People team and managers can use our systems confidently, with strong tier-1 support via a bot., • Experience in data engineering, analytics engineering or HR technology, ideally within an HR or People function or working closely with one as a stakeholder., • Strong practical SQL and Python skills: you are comfortable building pipelines and transformations yourself., • Hands-on experience with HR systems such as Ashby, and integrating them with ATS, payroll, identity and finance tools via APIs, middleware and data pipelines., • Real automation experience: you have built and maintained workflows in n8n or similar tools such as Make, Zapier, Workato or Langdock, and you are excited to do the same with Mistral's own models and tooling., • Working experience with data warehousing (Snowflake, BigQuery) and the modern data stack (dbt or similar), and with visualisation tools such as Metabase, Looker, Tableau or Power BI., • You are low-ego and team-spirited, and you take a prioritised problem and run with it in ambiguity: you would rather build a first version and iterate than wait for a perfect spec. You start from the HR need, not the technology, stay hands-on, and have a track record of building foundations in growing organisations without creating legacy. We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page. Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy. #J-18808-Ljbffr

NEW PERMANENT OPPORTUNITY AVAILABLE FOR A SC OR MOD DV CLEARED FULL STACK SOFTWARE ENGINEER WITH AN INTEREST IN AI/ML • Salary: Up to £90,000, • Location: West London, • Clearance: Active SC or MOD DV Clearance required, • Employment: Permanent, • Sector: National Security & Defence Searchability NS&D are working with a growing technology organisation delivering advanced software and AI capabilities across the National Security & Defence sector. They are looking for an all-round Full Stack Software Engineer with an interest in AI/ML to join a highly technical engineering team. This isn't a role where you'll be expected to be a dedicated Machine Learning Engineer or pure frontend developer. We're looking for someone comfortable getting involved across the software stack, solving difficult engineering problems and working alongside AI/ML specialists to turn emerging technology into usable, production-ready software. You’ll work across the software development lifecycle, helping to design, build, integrate and deploy applications that make advanced AI and computer vision capabilities accessible to end users. The role could involve: Developing modern full stack applications and user interfaces Building backend services and REST APIs Integrating AI/ML capabilities into software applications Developing tools for image, video and AI visualisation Building scalable and maintainable software Integrating applications, services and workflows Working with data and modern data platforms Contributing to software architecture and technical direction Developing automated tests and CI/CD pipelines Supporting customer demonstrations, trials and deployments Working with AI/ML teams to turn research and models into practical software The balance of frontend, backend, integration and AI/ML work will depend on your experience and interests. We're deliberately looking for an all-rounder rather than someone who ticks every box. You’ll ideally have several years of commercial Software Engineering experience and be comfortable working across different parts of the technology stack. Experience with some of the following would be valuable: SOFTWARE ENGINEERING Full Stack Software Development Python development JavaScript / TypeScript or similar frontend technologies REST APIs and frameworks such as Flask or Django Git, automated testing and CI/CD Strong software design and engineering practices Linux development environments DATA & INTEGRATION Application or systems integration Databases such as MongoDB or PostgreSQL Data lakes / modern data platforms Event-driven architectures or messaging Building connected workflows between different systems AI / ML Experience working alongside AI/ML or data science teams Exposure to Machine Learning or Computer Vision Python-based ML technologies such as PyTorch ML pipelines or model deployment Image or video processing An interest in integrating AI/ML into production software You don't need experience across all of these areas - a strong software engineer with breadth, curiosity and an interest in AI/ML is exactly what we’re looking for. You’ll be joining a highly technical team working on genuinely challenging software and AI problems, with the opportunity to see your work move from development into real-world operational environments. You’ll have the opportunity to: Work alongside experienced Software Engineers, AI/ML specialists and researchers Build software around cutting-edge AI and Computer Vision technology Work across software engineering, integration and AI/ML Influence architecture and technical direction Take ownership of meaningful projects Develop your skills across modern technologies Contribute to products designed for demanding real-world environments Due to the nature of the work, active SC or MOD DV clearance is required for this position. #J-18808-Ljbffr

Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! Wayve’s AI Validation Division builds trust in the Wayve AI Driver for our customers. As a Staff Validation Engineer, you will lead the development, execution, and reporting of validation for ADAS Functions. Collaborating with systems engineers and data scientists, you will leverage Wayve’s unique simulation and evaluation technology, and meet emerging AV industry standards as autonomy transitions to fully end-to-end learned models—helping bring the Wayve AI Driver to millions globally. • Develop and implement a comprehensive validation strategy across test modalities to assess ADAS Functions that are part of the Wayve AI Driver product., • Define and implement general purpose metrics for validating on-road and simulated driving behavior., • Define test coverage requirements and build comprehensive test suites., • Develop acceptance criteria through collaboration with Product, Safety, and AV Engineering teams., • Analyze test results and report findings to Release and Autonomy Engineering stakeholders., • Identify data, simulation, and evaluation team dependencies to enable timely, scalable, and automated validation execution., • Collaborate closely with Product, Architecture, Data, Simulation, and Autonomy leads to design and implement comprehensive yet efficient test strategies. To succeed as a Validation Systems Engineer at Wayve, you’ll bring the following skills and experience: • Clear, concise communicator with excellent documentation skills., • Strong analytical skills with experience in evidence-based decision-making., • Hands-on experience evaluating and validating complex engineered systems — whether through simulated scenario development, real-world testing, or both., • Experience in the Automotive or AV industries., • Proficiency in Python to implement metrics and work with evaluation codebase., • Experience with both simulated and physical testing environments for autonomous systems., • Experience analyzing and reporting validation results., • Demonstrated ownership driving validation concepts from ideation to implementation in ambiguous, fast-paced environments., • Degree in Computer Science, Robotics, Aerospace, or a related field., • Background in ML, Computer Vision, Motion Planning, or Data Science., • Experience in the Automotive or AV industries., • Experience with SOTIF and safety validation., • Skilled in evaluating and validating learned or adaptive behaviors., • Experience with modern AI tools and agentic workflows, • Experience analyzing large datasets with SQL, • Deep understanding of driving behavior and how to measure driving performance. This is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know. We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. For more information visit Careers at Wayve. To learn more about what drives us, visit Values at Wayve For US candidates only, please visit E-Verify Notice and Participation and Right to Work DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory. #J-18808-Ljbffr

The Codex Core Agent team builds the kernel of Codex. We own making the agent better, accelerating research, and making those improvements real in production for our users. That means working across the systems that make Codex actually function as an agent in the real world: the production performance envelope around tokens, latency, reliability, cost, and capacity; the core execution loop and interfaces that turn models into useful behavior; the shared infrastructure that enables other teams to build on Codex; and the feedback loops that turn real-world usage into better models and better agent behavior over time. We’re looking for engineers to build the infrastructure that powers Codex agents in production. This role focuses on the systems that let models safely execute code, interact with tools, complete long-running tasks, and operate reliably and efficiently at scale. You’ll design and operate the infrastructure behind sandboxed execution, orchestration, stateful workflows, app-server and SDK boundaries, and model rollouts. You’ll work at the intersection of distributed systems, developer tooling, and AI, building primitives that make Codex faster, safer, more reliable, and easier for the rest of the organization to build on. • Design and build execution environments for AI agents, including sandboxing, isolation, and reproducibility., • Develop systems for agent orchestration across multi-step, tool-using workflows., • Build infrastructure for running, testing, and debugging code generated by models., • Create state and memory systems that allow agents to persist context across long-running tasks., • Optimize tokens, latency, reliability, and cost across Codex’s production fleet., • Support model rollouts, capacity planning, and the core tradeoffs between quality, speed, and economics to manage a fleet of frontier agents at scale., • Build shared platform capabilities that unblock product teams, partner teams, and open source Codex., • Have strong experience in distributed systems or infrastructure engineering., • Have built systems involving containers, sandboxing, or virtualization., • Are comfortable working across backend systems, APIs, and developer tooling., • Care deeply about system reliability, performance, and security., • Enjoy working on ambiguous, zero-to-one problems., • Want to help build the systems that turn model capability into a dependable software engineering agent., • Experience with code execution platforms, CI/CD systems, or build systems., • Experience coding in Rust, • Familiarity with LLMs, agents, or tool-use frameworks., • Background in security engineering or isolation systems., • Experience building developer platforms, IDE tooling, or open source infrastructure. OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via link. OpenAI Global Applicant Privacy Policy. At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology. #J-18808-Ljbffr

Plain is redefining customer support for the next generation of B2B companies. We’re building the fastest, most powerful platform to help companies move beyond reactive support and build true customer relationships. Some of the world’s most forward-thinking companies - like Cursor, Raycast, and Granola - trust Plain to unify all customer interactions, enable faster team collaboration, and supercharge their workflows with AI. B2B customer support is undergoing a seismic shift. AI is transforming the way companies engage with customers, shifting support from a siloed function to a company-wide effort across Slack, Discord, and any other channel you talk to customers in. The old way - slow, manual, and disconnected - no longer works. Engineering at Plain is about much more than moving tickets from left to right - it’s about owning and solving problems end to end, from infrastructure decisions to feature design to button copy. You will: Help set product direction. You’ll contribute to both the technical architecture and the roadmap, balancing customer feedback with long-term product health. Ship features end to end. You’ll scope, build, and launch product features that directly solve customer problems. We’re structured into the following teams right now: Core Product: Own all customer-facing channels (Slack, Discord, Email, etc), core data models, and customer requests. You’ll balance moving fast to win customers with investing in strong foundations for the future. Developer Infra: Build the tools that every engineer at Plain depends on to ship and operate the product. Your focus is on making the team faster, removing roadblocks before they happen, and ensuring everything we build is easy to run, debug, and control in production. Shape our backend architecture. You’ll tackle some of our most complex challenges, from data modeling to high-performance reporting, and help set the standard for how we build across the company. Create a stellar developer experience. From data pipelines to APIs, you’ll make sure Plain is not only great to use but also great to build on. Thrive in early ideation stages, love sharing work-in-progress, and enjoy the balance of making trade-offs in order to ship high impact products. Are impact driven and motivated by seeing customers succeed. You measure the quality of your work by the end-experience of users, not the abstractions or cleanliness of the code. Have a proven track record working for product-led companies, ideally in B2B SaaS. You’re autonomous and able to prioritise your workload. You know when to take a shortcut and when to invest in long-term infrastructure. Have experience working with distributed, serverless systems, and have worked on similar web applications with a high quality and performance bar before Are equally at home in architectural conversations as you are in customer conversations. Can learn new technologies and paradigms quickly and independently. Are uncomfortable with ambiguity. We have some really exciting traction but are still at an early stage and are constantly learning and trying new things as our company grows. Find learning about new technologies a key motivation for coming to work. We invest in what makes us productive but will prefer the known option to the experimental and novel. Postgres is great. Are looking to manage others. We're firmly looking for someone who, for now, wants to be an individual contributor. Expect all the perks of a big company. We’re a Series A startup and are competitive in what we offer at our stage, but it’s a different role and opportunity than working at an established tech company. #J-18808-Ljbffr

Role Title: Senior Pre-Sales Engineer – Applied ML / HPC Reports to: Head of Solutions Architecture Location: Central London, Hybrid Employment Type: Full Time ORCA Computing, headquartered in London, UK, and with an office in the United States, is a developer of full-stack photonic quantum computing systems. The company provides robust, high-performance, data centre-ready solutions designed for machine learning, generative AI, and optimisation workloads, and has already delivered eleven on-premises quantum computers to customers globally. ORCA’s multidisciplinary team focuses on applying advanced computing to real-world challenges. By combining photonic quantum hardware with proprietary software, the company is developing practical high-performance computing approaches that integrate with existing AI and data centre infrastructure. Its hybrid quantum-classical systems are already being used in industrial settings to improve performance, efficiency, and scalability, while a longer-term roadmap continues toward fault-tolerant quantum capabilities. Designed for seamless integration, ORCA’s technology can be deployed within existing workflows, enabling organisations to explore quantum-enhanced computing without significant infrastructure change. By embedding quantum capabilities into generative AI pipelines, ORCA is enabling improvements in model performance alongside reductions in energy demand – an increasingly important factor as AI adoption scales – while creating a clearer, commercially viable path for quantum technologies. As a Senior Pre-Sales Engineer at ORCA, you will operate at the front line of commercialising quantum computing, working directly with partners and customers to translate ORCA capabilities and benchmarks into real-world partner and customer value. You will help the sales team advance opportunities through the funnel, taking the lead on technical proposals. You will contribute to design and implementation of internal, partner and customer quantum-classical integration projects. This involves combining machine learning and optimization workflows, high-performance computing environments, and ORCA quantum computing products into coherent, testable solutions. The challenge is not only technical, but interpretative: identifying where quantum-enhanced approaches provide real advantage and communicating value and risk clearly and responsibly to technical and commercial audiences. Your work will directly shape ORCA’s ability to convert interest into deployed systems, credible proof points, and successful partner and customer programmes. • Deliver partner- and customer-facing content You will work with colleagues in the ORCA Applications team to design and build technical content (including live demonstrations) that showcase ORCA’s capabilities in hybrid quantum-classical applications. You will own and deliver customer-ready demos running in HPC environments, running these live with customers (remote and onsite) and adapting them dynamically to technical discussions. • Define solution architectures and technical blueprints You will own end-to-end solution architectures for customer and partner use cases, working across internal and external teams, covering data pipelines, model workflows, compute environments and integration with ORCA systems. • Shape and qualify customer opportunities You will work with commercial teams to translate customer problems into structured technical approaches, defining feasibility, success criteria and resource requirements before projects move into delivery. • Define and structure proof-of-concept engagements You will design PoC approaches that test real customer value, balancing speed, technical rigour and commercial relevance, and ensuring alignment between customer expectations and ORCA capabilities. • Contribute to technical marketing and GTM You will support the creation of technically credible content by translating real architectures, demos and results into material usable by marketing, analysts and sales teams. • Act as a bridge between teams You will work across product, applications, marketing and commercial teams to ensure that partner- and customer-facing solutions are both technically valid and commercially impactful, and providing feedback from your partner and customer projects into the ORCA product roadmap. • Pre-sales experience (deep-tech or high-tech), • Experience working directly with enterprise and industry customers to deliver complex technology solutions, • Exposure to industrial applications in one or more of: chemistry, materials science, pharmaceuticals, energy, telecommunications, transportation, logistics, finance and defence, • Ability to design and communicate solution architectures and system diagrams clearly, • Proven ability to build and operate technical demos, prototypes or PoCs, including presenting them to technical stakeholders, • Experience with AI/ML, HPC, distributed systems, or scientific computing environments, including an understanding of performance, scaling and system architecture, • Strong programming skills in Python, with familiarity with ML frameworks and development workflows, • Experience with MLOps or production-oriented workflows, including environment management, reproducibility and deployment considerations, • Experience training or optimizing ML systems, • Experience solving optimisation / MILP problems, • Experience working for or with deep-tech startups, • You have strong commercial acumen, understanding customer and partner commercial drivers and how technical decisions affect timelines, business outcomes and deal progression, • You are comfortable working at the boundary between technical depth and customer/partner engagement, able to move between detailed discussions with engineers and high-level problem framing, • You can translate complex technical systems into clear, structured explanations without oversimplifying or losing credibility, • You operate effectively in ambiguous, fast-moving environments, making progress without complete information, • You take ownership end-to-end, from initial problem definition through to demo delivery and customer validation As we continue to grow, ORCA offers the opportunity to work at the forefront of photonic quantum computing and quantum-accelerated AI, alongside a highly skilled and collaborative team. Our people come from a range of disciplines – from engineering to commercial – and bring deep expertise, curiosity, and a shared focus on solving complex problems. It’s a fast-moving environment where ideas are shared openly and everyone has the opportunity to shape what we’re building. We value curiosity, initiative, and collaboration, and we give people the space to learn, grow, and take ownership while working on genuinely complex technical challenges. This is a place where your work has visible impact, contributing directly to technologies that connect cutting-edge research with real-world application, and helping to define an emerging area of computing as it evolves. ORCA is an equal opportunities employer, committed to building a diverse and inclusive workplace where everyone can thrive. #J-18808-Ljbffr

Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. We're hiring a Sales Manager to help build and lead our founding team of Enterprise Account Executives in London. Enterprise at Baseten means the companies with the most to gain from AI and the most complexity in getting there: large digital natives running products at massive scale, and category leaders in software, financial services, healthcare, and beyond. They have the data, the distribution, and the budget. Most are still deciding what to build, what to run themselves, and what it should cost. • Recruit, hire, and ramp the founding team of Enterprise AEs in London. This is your highest-leverage work in year one, • Coach reps through long, multi-stakeholder cycles: multithreading across buying committees, navigating security and procurement, and closing seven- and eight-figure deals, • Raise the bar on consultative selling. Your reps should be advising customers on AI strategy, not just running a product evaluation, • Partner on shaping and executing go-to-market strategy for the region, including which verticals to attack first, • Operate as a player-coach early on, carrying deals yourself while the team builds, • Stay deep enough on the product to guide reps through technical evaluations, POCs, and architecture reviews alongside our forward-deployed engineers, • Work with Marketing, Product, Engineering, and Legal to turn European enterprise requirements into roadmap and GTM input, • Build a culture of accountability, learning, and collaboration from the first hire forward, • 6+ years of closing experience, with 2+ years managing high-performing teams, • Proven success in Enterprise sales, closing complex, multi-stakeholder deals inside large organizations, • Experience selling into large digital natives or regulated industries (financial services, healthcare/life sciences, insurance, government), • A track record of recruiting strong sellers, ideally as a first or early hire in a new team or region, • Strong technical acumen, ideally in AI infrastructure, cloud infrastructure, or developer platforms. You're comfortable in the weeds, • Willingness to sell as well as manage while the team is small, • Based in London and able to be in office at least 3 days per week (Tuesday to Thursday), • Competitive compensation, including meaningful equity, • (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents, • Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!), • Paid parental leave, • Fertility and family-building stipend through Carrot, • (U.S. only) Company-facilitated 401(k), • Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable). #J-18808-Ljbffr

Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. We're building a founding team of Strategic Account Executives in London. Strategic accounts at Baseten are the largest and fastest-growing AI companies in the world. These are the teams defining the future of what AI products and services look like. These accounts can scale rapidly from one token to billions of tokens in a matter of weeks. This role owns these relationships, working directly with founders and engineering leaders on mission-critical and large-scale-AI problems in production and shaping what we build next. This is a highly technical sale. You'll trade opinions on the latest open-source model releases, run fast and nuanced evaluations alongside customer engineering teams, and often pulling in SMEs from applied research to infrastructure engineers to win. You'll bring tight sales fundamentals and process discipline, while maintaining flexibility and creativity in how you run each cycle. This role is pioneering what sales looks like at the bleeding-edge of technology sales. This is a front row seat to the most consequential decisions made at the forefront of Artificial Intelligence. There is no faster place to learn and make an immediate impact. • Own a focused portfolio of high-growth, strategic AI-native accounts end to end - from technical evaluation and initial workload landing through expansion as inference usage scales., • Lead technical evaluations and complex, multi-stakeholder sales cycles from first conversation through close. Bring strong sales fundamentals and process discipline, while staying flexible and creative in how you run each sales cycle., • Build trusted relationships with founders and technical leaders, becoming a credible partner on model, infrastructure, and inference decisions., • Orchestrate stakeholders across applied research, engineering, and leadership to win technical evaluations and solve customer problems., • Bring customer signal back to product, shaping roadmap priorities through the needs and patterns you see in the field., • Stay close after close: help customers expand from an initial workload into additional use cases across the organization., • 5+ years of sales experience in infrastructure, developer tools, data, or another consumption business, with a record of closing complex technical deals., • Proven net-new experience selling complex technical products in fast-moving environments., • Strong sales fundamentals across discovery, multi-threading, champion-building, and deal momentum., • Genuine curiosity for open-source models and the AI infrastructure landscape. You follow model releases and can hold your own with engineers., • Highly dynamic: comfortable when a deal goes off-script, able to meet customers where they are, and willing to change your approach without losing rigor., • Strong technical project management: you can run a thorough evaluation across multiple workstreams and create clarity and direction for Baseten to win.., • Proven ability to sell internally, earning engineering time, aligning leadership, and getting cross-functional teams to move, • Scrappy, low-ego, collaborative operator. You run toward ambiguous problems, create structure where none exists, and earn internal support without relying on rigid swim lanes., • Competitive compensation, including meaningful equity, • (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents, • Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!), • Paid parental leave, • Fertility and family-building stipend through Carrot, • (U.S. only) Company-facilitated 401(k), • Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable). #J-18808-Ljbffr

Ably is hiring a Staff Tech Lead for the Developer Experience team in London. You’ll co‑own the DevEx vision, lead the engineering team building our dashboard, documentation platform, and control plane, and elevate the developer experience across the Ably platform. As an AI‑first engineer, you’ll apply AI-assisted development, set guardrails, and mentor five engineers to ship with velocity while maintaining quality and engineering judgment. #J-18808-Ljbffr

Plum Fintech is seeking an experienced AI Platform Engineer to design and scale our AI-enabled infrastructure. You will own backend systems and internal tooling that power AI-powered products across multiple squads. You will work on LLM-based workflows, agentic architectures, and guardrails, with a focus on reliability, cost efficiency, and developer experience. Hybrid work with London offices. #J-18808-Ljbffr

About Us LangChain aims to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to offer a platform for building, evaluating, deploying, and operating agents at scale. LangChain has raised $125M at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures. LangChain, LangGraph, LangSmith, and Fleet are used by teams shipping real AI products across startups and large enterprises. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, LangChain serves customers including Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and more; 35% of the Fortune 500 trust LangChain to power AI teams. The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on. This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite. Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform. The Deployed Engineer works on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world. • Co-architect and co-build production AI agents with customer engineering teams, • Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations, • Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows, • Advise customers post-sale on architecture, best practices, and roadmap-level decisions, • Run technical demos, trainings, and workshops for developer audiences, • Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers, • Occasionally contribute code upstream when it meaningfully improves customer outcomes, • 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up, • Strong Python, JavaScript and systems fundamentals, • Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling, • Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations, • Can explain technical tradeoffs clearly and build trust with developer audiences, • Take responsibility for outcomes, not just recommendations, • Have a bias toward action and enjoy figuring things out as you go, • Are excited about operating AI agents in production, not just building demos, • You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks, • Worked with LLM evaluation, observability, or guardrails, • Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts, • Have shipped and operated production software and are comfortable owning systems under real-world constraints We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more. #J-18808-Ljbffr

Our client is one of the world's leading online gambling companies. Company Description We're one of the world's leading online gambling companies, revolutionising the industry since 2000. Founded by Denise Coates CBE, we now employ over 10,000 people and serve over 120 million customers in 26 languages. We empower our employees to push boundaries and explore new ideas, cultivating a culture that celebrates and rewards creativity. This offers employees a wealth of growth opportunities, giving them the opportunity to make a real impact in the world of online gambling and gaming. As a forward-thinking company, we're breaking new ground in software innovation too, redefining what's possible for our customers worldwide. Our focus on In-Play betting has solidified our market-leading position, featuring more than 1.38 million In-Play sporting events a year. With over 750 concurrent sporting fixtures at peak and more live sports streamed than anyone else in Europe (750,000), we handle over 6 million HTTP requests daily and process more than 1.5 million bets per hour at peak. Job Description As a Senior Regulatory Data Developer, you'll modernise complex reporting pipelines and build scalable cloud architectures that process high-volume data with pinpoint accuracy. Our Data Engineering department powers high-volume data platforms that support 24/7 global operations. Within this function, the Regulatory Data team builds and maintains batch and near real-time pipelines that transform complex operational data into precise reporting outputs. In this hands-on technical role, you'll lead the modernisation of legacy SQL Server systems into Google Cloud Platform architectures. You'll design scalable BigQuery and Dataform pipelines, mentor engineers, and adopt AI-assisted development tools to drive engineering quality across our reporting estate. This role is eligible for inclusion in our hybrid work from home policy. Qualifications Strong experience in Google BigQuery and Dataform, including data modelling and query optimisation Advanced SQL capabilities, covering complex queries, stored procedures and performance tuning Proven track record designing, building and supporting ETL or ELT pipelines Practical knowledge of GCP services such as Cloud Storage, Cloud Functions, Pub/Sub and Cloud Composer Background in modernising or supporting SQL Server reporting solutions Working familiarity with AI-assisted development tools such as Claude Code or similar coding assistants Orchestration expertise for scheduled and dependency-driven data workloads Solid understanding of software engineering practices including CI/CD, testing, code review and observability Track record of leading technical designs, data models and delivery planning for major workstreams Assertive approach to assessing existing systems and driving sustainable improvements Additional Information Lead regulatory data projects and major workstreams from planning through to operational delivery Design, develop and maintain robust reporting systems across SQL Server and Google Cloud Platform Build resilient ETL and ELT pipelines for data ingestion, transformation and validation Modernise legacy SQL Server reporting solutions into scalable, cloud-native GCP architectures Deliver data-quality checks, reconciliation controls, monitoring and operational safeguards Embed engineering standards including version control, automated testing, CI/CD and documentation Review the regulatory data estate to reduce technical debt, remove duplication and simplify architectures Mentor and support engineers through technical guidance, code reviews and constructive feedback Work with Team Leads, Technical Leads and Product stakeholders to align delivery plans Utilise AI-assisted development tools to increase engineering quality, efficiency and consistency By applying to us you are agreeing to share your Personal Data in accordance with our Recruitment Privacy Notice - We're committed to creating an environment where everyone feels welcome, respected and valued. Where all individuals can grow and develop, regardless of their background. We're Never Ordinary, and we're always striving to be better. If you need any adjustments or accommodations to the recruitment process, at either application or interview, please don't hesitate to reach out. TPBN1_UKTJ

Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods, finance, and investment. We’re looking for a Platform Engineer to improve the infrastructure, developer tooling, and delivery workflows used by more than 100 engineers. The role combines infrastructure and software development, with an approximate 65/35 split. You’ll work on cloud infrastructure, deployment automation, observability, CI/CD, and internal tooling. The goal is to make development and releases more reliable, efficient, and straightforward. • Improve developer experience and engineering productivity by building tools and workflows that make it easier for engineers to develop, test, and ship software., • Maintain infrastructure automation with Ansible, Terraform, and Terragrunt., • Improve the reliability and performance of our CI/CD workflows., • Find the causes of slow builds, failed pipelines, and flaky tests., • Develop internal tools, improve test infrastructure, and occasionally work on product features., • Improve observability across our infrastructure and delivery workflows using OpenTelemetry, ELK., • Leverage AI to improve engineering workflows by building cloud-based agent tools and helping teams adopt effective practices. AWS, Terraform, Terragrunt, Ansible, Jenkins, Docker, ELK, ClickHouse, MongoDB, PostgreSQL, and Ruby-on-Rails. • Experience developing and maintaining complex CI/CD workflows., • Software development experience, such as building internal tools, APIs, backend services, or automation., • Experience with AWS or another cloud provider., • Telemetry and monitoring experience (OpenTelemetry, Grafana, Kibana)., • Strong Computer Science and System Design fundamentals., • Willingness to learn and use Ruby and/or Go., • Experience optimizing CI build times, especially with Jenkins., • Experience with Docker or Kubernetes., • Experience with Ruby, Python, or JavaScript., • Familiarity with build systems such as Webpack or Gradle. Read more about some of our Technical challenges here (written by members of our engineering team): blog/how-we-scaled-to-thousands-of-sidekiq-workers Sensor Tower is a global provider of digital intelligence solutions, empowering companies to understand consumer behavior and market performance across mobile apps, digital platforms, and gaming ecosystems. Headquartered in San Francisco, Sensor Tower's insights are trusted by more than 2,500 enterprises worldwide. Founded in 2013, Sensor Tower’s market insights have helped marketers, app developers, and gaming leaders demystify the mobile app ecosystem with visibility into usage, engagement, and paid acquisition strategies. Today, Sensor Tower’s digital market insights platform has expanded to include Gaming, Web, Audience, and Digital Advertising Insights, helping global leaders understand market trends and their competitor’s strategies and audiences across the entire digital ecosystem. Our flexible work environment allows employees to live in greater connection with the people, places, and activities they love! Sensor Tower has a global presence, with teams across the world and available in most time zones, including North America, Europe, Middle East, Africa, APAC and LATAM. We maintain regional offices in SF, LA, NY, London, Singapore, Beijing, Seoul, Tokyo and Vancouver. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, and veteran status. We will consider qualified applicants with arrest and conviction records. If you have a disability or special need, please do not hesitate to let us know and we'll do our best to accommodate. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. #J-18808-Ljbffr

Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! We’re looking for a Software Engineer to join our AI Libraries team. This team builds and maintains the platforms, libraries, and tools that enable Wayve’s ML engineers and researchers to train, evaluate, and scale models efficiently. This is a hands-on software engineering role focused on building stable, scalable, and modular systems that support large-scale ML development. You’ll work closely with ML teams across Wayve to understand their needs, design reusable abstractions, and improve the reliability, performance, and usability of our training infrastructure. You’ll play a key role in maturing Wayve’s AI platform and helping bring autonomous driving technology into the hands of customers. • Design, build, and maintain scalable Python libraries and tools used by ML engineers and researchers across Wayve., • Develop robust abstractions for data loading, distributed training, inference, checkpointing, and model evaluation workflows., • Support training at scale across large GPU clusters and cloud-based infrastructure., • Work closely with ML teams to understand user needs and create tools that are reliable, well-documented, observable, and easy to adopt., • Improve engineering quality across ML systems through strong software architecture, testing, monitoring, and maintainability practices., • Optimise data and training pipelines to support multi-modal data sources, including camera, radar, lidar, and other sensor data., • Contribute to the evolution of Wayve’s AI platform as we scale our autonomous driving capabilities. We’re looking for a strong software engineer who enjoys building high-quality tools, platforms, and libraries for technical users. You care about clean abstractions, scalable architecture, reliability, and creating software that other engineers can depend on. • Strong Python programming experience.Proven experience designing, building, and maintaining software systems from concept through to delivery., • Strong software architecture and system design skills.Experience building tools, platforms, or libraries for internal or external users.Strong understanding of testing, observability, maintainability, and engineering best practices., • Experience working with cloud environments, ideally Azure., • Experience with concurrent, parallel, or distributed computing., • Familiarity with ML frameworks such as PyTorch, TensorFlow, or PyTorch Lightning., • Ability to work closely with technica #J-18808-Ljbffr

Location: London/ Hybrid Start: ASAP We are seeking an experienced Senior Full Stack Developer to join a cutting-edge programme focused on delivering AI-powered solutions on Microsoft Azure. This initial workstream is dedicated to building an Agentic AI capability using Python and Azure technologies, working closely with business stakeholders to define the technical foundation, architecture, and product direction for a wider enterprise AI programme. This is an exciting opportunity to work on innovative AI initiatives, cloud-native applications, and large-scale data-driven solutions while helping shape future platform capabilities. As a Senior Full Stack Developer, you will play a key role in designing, developing, and deploying modern web applications that integrate with AI-powered services and large-scale distributed systems. You will collaborate with cloud engineers, architects, data specialists, and AI teams to deliver scalable, secure, and high-performing solutions in Azure environments. • Design, develop, and maintain scalable full-stack applications using React, Python, JavaScript, and TypeScript, • Build responsive, high-performance front-end solutions capable of handling large data volumes, • Develop and integrate APIs, microservices, and distributed systems, • Deploy and manage applications within Microsoft Azure environments, • Integrate applications with LLM-based services, Agentic AI workflows, and AI-driven platforms, • Work with containerised solutions using Docker and cloud-native deployment approaches, • Support and enhance CI/CD pipelines to ensure reliable and repeatable deployments, • Collaborate closely with architecture, cloud, and AI teams to deliver production-ready solutions, • Drive performance optimisation, observability, scalability, and application reliability, • Extensive experience as a Senior Full Stack Developer, • Strong expertise in:, • React, • JavaScript / TypeScript, • Python, • Deep understanding of modern React development:, • Hooks, • State management, • Component architecture, • Performance optimisation, • Proven experience deploying applications to cloud environments, ideally Microsoft Azure, • Strong experience integrating APIs, microservices, and distributed architectures, • Hands-on experience with Docker and containerised deployments, • Experience building applications that support high traffic volumes and large datasets, • Strong understanding of frontend performance, monitoring, and observability, • Experience working within Agile delivery teams, • Azure AI Services, • Azure OpenAI, • Agentic AI frameworks, • Azure Container Apps, • Azure Kubernetes Service (AKS), • Infrastructure as Code, • Experience with AWS cloud platforms, • Exposure to enterprise-scale AI transformation programmes, • AI-powered enterprise applications, • Agentic AI and intelligent workflow solutions, • Azure cloud-native platforms, • Large-scale data processing and visualisation solutions, • Production-grade deployment pipelines, • Modern React front-end architectures You are a hands-on Senior Engineer who enjoys solving complex technical challenges and building products that deliver real business value. You have strong cloud deployment experience, enjoy working with modern web technologies, and are excited by the opportunity to work at the forefront of AI and Azure innovation. #J-18808-Ljbffr

Perk (formerly TravelPerk) is the intelligent platform for travel and spend management. Built to tackle the time-consuming, manual work that gets in the way of real work, our tools automate everything from travel bookings to expenses, invoice processing, and more. By eliminating this shadow work that wastes hours, erodes morale, and saps innovation, we're on a mission to power real work, with real impact. We're trusted by more than 12,000 companies worldwide, including Bolt, GoCardless, and Fabletics, and we're tackling the 7 hours of lost productivity per employee each week, a $1.7 trillion problem. Founded in 2015, Perk has grown into a global company of more than 1,800 people across 12 offices globally, with headquarters in London and Boston. We combine innovation, control, and simplicity to transform how businesses work and how people feel at work. At Perk, we're driven by our values, like being an owner, delivering a 7-star experience, and working as one team. We value curiosity, purpose, and mindset, not just knowledge, to unlock the power in your potential. Our talent team brings together leading minds from the travel, fintech, and SaaS industries, representing over 70 countries. If you're excited about having a real impact and shaping how millions of people experience work, we'd love you on the team. Visit www.perk.com to learn more. The Platform function at Perk builds the foundations that the rest of the company depends on. We own the shared infrastructure, core services, and developer tooling that enable product teams to move fast without breaking things. Our work is often behind the scenes, but its impact is everywhere: reliability, scalability, security, and developer experience. We solve hard, systemic problems, make deliberate trade-offs, and hold ourselves accountable for the long-term health of the platform. If you care about leverage, clean abstractions, and building things other engineers actually enjoy using, you’ll feel at home here. We are seeking a DevOps Engineer to join our team and help build, maintain, and scale the infrastructure and tools that empower our developers to deliver reliable, secure, and high-performing services. If you’re an experienced Platform Engineer, or a Software Engineer with a passion for Platform and Developer Experience, we would love to speak with you. • Design, build and maintain scalable, and reliable cloud infrastructure in AWS, • Enable development teams to be owners of their systems and to deliver high impact products to our users, • Partner with SRE and security teams to help developers build resilient and secure applications, • Participate in our on-call and incident management process as part of a “you build it, you run it” mentality, • Hands-on experience managing systems in AWS (EC2, S3, RDS, IAM, VPC, etc.), • Strong knowledge of Infrastructure as Code (Terraform, Pulumi, etc.), • Solid understanding of CI/CD practices and tools (GitHub Actions, CircleCI, etc.), • Experience with monitoring and observability tools (Datadog, CloudWatch, etc.), • Experience with containerisation and container orchestration (Docker, ECS, etc.), • Proficiency in at least one programming/scripting language (Python, Go, etc.), • Strong problem-solving and troubleshooting skills in distributed systems, • Excellent communication and collaboration abilities, • Comfortable working across a mostly Linux estate, with some exposure to Windows systems and .NET applications, • Experience with serverless architectures, • Experience with defining advanced cloud networking setups, • Familiarity with SOC2, ISO 27001, or other compliance frameworks AI is embedded in how we work across every function. The tools you'll use day-to-day are AI-enabled so you can move faster and spend more time on the work that matters. In practice, that means using AI to research and prioritise accounts, draft and refine outreach, handle customer interactions more effectively, synthesise information, and cut through shadow work - the invisible tasks that pull people away from the work only they can do - so you can focus on relationships and outcomes. At Perk, we take an IRL-first approach to work, where our team works together in-person 3 days a week. As such, this role requires you to be based within commuting distance of our hubs. We fundamentally believe in the value of meeting in real life to improve connectivity, productivity, creativity and ultimately making us a great place to work. For certain roles, we can help with relocation from anywhere in the world, English is the official language at the office. Please submit your resume in English if you choose to apply. Do not forget to submit an updated portfolio and/or resume. Perk is a global company with a diverse customer base, and we want to make sure the people behind our product reflect that. We’re an equal opportunity employer, which means you’re welcome at Perk regardless of how you look, where you’re from, or anything else that makes you, well, you. #J-18808-Ljbffr

At Insightful Technology, we build intelligent solutions that help organisations manage risk, protect data and stay compliant in an ever-changing world. Our products power global enterprises, financial institutions and regulated organisations. If you want to be part of a team building extraordinary technical solutions in a compelling working environment where ideas move quickly, people support each other and innovation is part of everyday life, you’ll feel right at home here. We are looking for an experienced and highly skilled .NET / C# developer to act as the primary backend engineer for our mobile communication compliance product. The role is suited for someone with a deep understanding of backend technologies and microservice/event driven systems. You will be working closely with fellow developers, product colleagues and other stakeholders. The engineer will build, run, maintain, optimise, and support the product’s backend systems deployed on servers in our own datacentres. They will take ownership of the performance, security, and evolution of the core technical functionality of the product. Success will be defined by a stable and performant product: minimal downtime, fast recovery, predictable performance, high stakeholder confidence, and the ability to adapt to incoming product and business requirements in a fast-paced environment. This role would suit a driven problem-solver who combines strong technical judgement with curiosity, pragmatism and a genuine commitment to technical excellence. • Develop, enhance, test and support .NET-based applications, APIs and integrations., • Work on customer-facing, operational and internal systems, helping to improve reliability, usability and business value., • Collaborate with product, engineering and other teams within the business to understand requirements and translate them into workable technical solutions., • Build and maintain system integrations between internal platforms and external communications platforms or services., • Support the ongoing improvement and maintenance of existing applications, including troubleshooting defects, performance issues and production incidents., • Contribute to technical design decisions, ensuring solutions are secure, supportable and aligned to good engineering practice., • Write clean, maintainable code and follow agreed standards for version control, testing, deployment and documentation., • Participate in code reviews, peer support and knowledge sharing within the team., • Assist with release activity, deployment processes and post-release support where required., • Work with Git and CI/CD tooling to support structured software delivery., • Contribute to a collaborative, delivery-focused team culture and support continuous improvement in the way they develop and support software., • In addition to the duties listed above, the jobholder is expected to perform other ad-hoc duties assigned by the Head of Engineering and/or the Lead Engineer from time to time., • All colleagues are encouraged to take responsibility for personal development initiatives within the scope of their role, and to encourage the development of others., • Experience engineering software using C#, .NET, ASP.NET, and Microsoft SQL Server., • Experience building APIs, web services, and system integrations., • Experience building and supporting event-driven distributed systems., • Experience with relational databases and large data volumes., • Experience engineering software systems from a performance and high-throughput perspective., • Excellent understanding of C# version 12, .NET version 8, preferably their more recent versions., • Excellent understanding of Entity Framework Core, LINQ, and collections., • Excellent understanding of ASP.NET, associated concepts, error handling, and request lifecycle., • Excellent understanding of asynchronous programming, generics, data types, and memory management in C#., • Excellent understanding of object-oriented programming and software engineering fundamentals., • Very good understanding of complexity, performance, and scalability of software systems., • Very good understanding of enterprise design patterns and modern enterprise architecture patterns., • Good understanding of process-related concepts such as tasks, threads, processes, and concurrency., • Good understanding of relational databases, database fundamentals, performance aspects, and indexes, ideally Microsoft SQL Server., • Good understanding of unit testing and associated technologies., • Experience leveraging AI as a coding tool and AI agents to accelerate the software engineering process., • Experience working in a fast-paced, continuously evolving, and challenging environment., • Understanding of software testing, particularly test automation and relevant technologies., • Understanding of CI / CD concepts, pipelines, relevant systems and technologies., • Two performance-based bonuses per annum, • Travel expenses once the probation period is over, • Option to WFH on Wednesdays, • Free gym membership after year one, • +5 days Christmas leave, • Eye test and glasses allowance, • Location: London, UK, in-office, • Employment type: Full-time, permanent, • Experience: 7–10 years, • Salary: £55000–£75000 per year, depending on experience, • Reports to: Lead Engineer, • We are only accepting applications from within the United Kingdom. #J-18808-Ljbffr

Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. As a Solution Architect in the Field Engineering team, you will span both technical pre-sales and post-sales, serving as a trusted advisor to our enterprise customers throughout their lifecycle. In pre-sales, you will qualify technical fit, design future-state architectures, run evaluations, and demonstrate how Vercel unlocks measurable business outcomes. Post-sales, you will act as a technical quarterback, helping customers successfully adopt and standardize on Vercel by aligning the right resources at the right time. You will guide architecture and implementation decisions, identify when to engage Professional Services or Developer Success, and work across Product and Engineering to unblock customers and drive long-term success for critical AI and Web workloads. If you're based within commuting distance of our London or Berlin office, the role includes in-office anchor days. • Partner with Sales to lead technical discovery, qualify customer use cases, and shape solution strategy for key opportunities., • Design target architectures for modern Agentic workflows, and AI and web applications on Vercel, including frontends, APIs, data and edge services, and integrations with headless and composable ecosystems (CMS, commerce, payments, media, analytics)., • Create and deliver tailored demos, technical presentations, and workshops that clearly articulate Vercel's value and differentiate our platform., • Own and run proofs of concept and pilots end-to-end: define success criteria, guide implementation, remove technical blockers, and ensure executive-level outcomes are documented., • Act as lead architect post-sale for strategic accounts, guiding onboarding, reference implementations, migration patterns, and best practices for building and operating on Vercel., • Proactively engage with customers on performance, reliability, and cost optimization, using metrics like Core Web Vitals, Lighthouse, and observability data to drive continuous improvement., • Collaborate with other members of the Field Engineering Team to standardise playbooks, reusable assets, and patterns that scale across customers and regions., • Respond to and coordinate security, compliance, and architecture reviews, partnering with internal specialists on areas like data protection and regulatory requirements., • Capture recurring themes, patterns, and gaps from the field and feed them back into Product and Engineering roadmaps as the technical Voice of the Customer., • Contribute to internal enablement and external content (reference architectures, example repos, talks, and blog posts) that help developers be successful on Vercel., • Some travel elements are expected relating to industry events, customer on-sites., • You have significant experience in a customer-facing technical role (solutions architect, sales engineer, platform architect, Agency Software Engineer) working with modern web or cloud platforms., • You understand web performance, caching, networking, and security fundamentals, ideally AI/LLM powered applications and Agentic workflows and can translate them into practical guidance for enterprise architectures., • You are equally comfortable discussing business outcomes with executives and implementation details with developers, switching context quickly while maintaining credibility., • You have a track record of owning complex technical projects, juggling multiple stakeholders, and delivering on time in fast-moving environments., • You thrive in collaborative field teams, enjoy mentoring others, and value clear, concise communication and documentation., • You are familiar with cloud platforms (such as AWS, Azure, or GCP) and how SaaS and edge platforms integrate into broader enterprise architectures., • You have empathy for developers and a passion for great developer experience, and you enjoy helping teams build accurate mental models of how platforms work., • Bonus if you have experience of building AI powered applications, or Agentic workloads, ideally leveraging tooling such as the AI SDK., • Have production experience deploying and operating Next.js or other modern frontend frameworks on Vercel or similar platforms., • Have worked with organisations standardising on composable architectures (headless CMS, commerce, search, analytics, and identity providers)., • Hold cloud or architecture certifications (for example, Cloud Solutions Architect certifications) or have led large-scale migrations to cloud-native platforms., • Are familiar with security and privacy standards such as SOC 2, PCI DSS, or HIPAA and have participated in customer security reviews., • Competitive compensation package, including equity., • Learn and Grow - we provide mentorship and send you to events that help you build your network and skills., • Flexible Time Off., • We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description. • Equal Opportunity:Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description. #J-18808-Ljbffr

Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! The role As a Staff Software Engineer for the Data Enrichment Platform, you will own the technical vision for the systems that enable Wayve’s teams to deploy, run, evaluate and continually improve machine-learning models. You will shape a platform that processes petabytes of driving data, operates across large GPU fleets and supports dozens of model engineers. Working across model engineering, infrastructure, compute and data teams, you will create dependable, self-service capabilities that improve model quality while reducing cost and operational effort. Key responsibilities: • Define the technical vision and architecture for Wayve’s end-to-end Data Enrichment Platform., • Lead the development of backend services, APIs, model-execution workflows, versioned outputs, annotation capabilities and dataset catalogues., • Build scalable and reliable systems for large-scale inference, automated evaluation, model monitoring, active learning and retraining., • Partner with platform teams to address data locality, scheduling, capacity, backpressure, failure recovery, observability and cost across petabyte-scale datasets and large GPU fleets., • Make effective build, buy, reuse, integrate, consolidate and replace decisions as Wayve’s requirements and the technology landscape evolve., • Establish clear technical boundaries and working relationships across AI Platform, infrastructure, compute, storage, data and model-engineering teams., • Remain hands-on while leading cross-team delivery, mentoring engineers and driving the adoption of reusable, self-service platform capabilities., • Define measurable service levels and success metrics covering platform reliability, throughput, cost, automation and adoption. About you In order to set you up for success as a Staff Software Engineer for the Data Enrichment Platform at Wayve, we’re looking for the following skills and experience. Essential • Experience owning the long-term technical direction and measurable outcomes of a complex, multi-system platform or capability., • Strong production software-engineering experience in Python, including building maintainable, tested and observable backend services, APIs and data-processing systems., • Deep experience designing and operating large-scale distributed systems for data-intensive or compute-intensive workloads., • A track record of productising internal platforms for broad adoption, with a focus on reliability, usability and self-service., • Excellent architecture and technology judgement, combined with the ability to remain hands-on and lead delivery across organisational boundaries., • Strong communication and influencing skills, with experience mentoring senior engineers and aligning multiple technical teams. Desirable • Experience with workflow-orchestration technologies such as Flyte, Airflow, Dagster or Argo., • Experience building large-scale batch-inference or ML-platform systems, including model deployment and model registries., • Knowledge of Spark, Databricks, Ray or comparable distributed-compute technologies., • Experience with annotation or dataset-catalogue platforms, including metadata, provenance, versioning, lineage and quality control., • Experience with Kubernetes, GPU infrastructure and cost-aware cloud architecture., • Experience implementing continuous evaluation, model-quality monitoring, active-learning or automated retraining workflows., • Experience designing or operating production platforms for robotics or computer-vision workloads, with an understanding of how data, annotation, inference, evaluation and monitoring fit together. Relevant workloads could include object detection, depth estimation, segmentation, tracking, sensor data or 3D models; computer-vision research expertise is not required. Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know. We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply. At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. For more information visit Careers at Wayve. To learn more about what drives us, visit Values at Wayve For US candidates only, please visit E-Verify Notice and Participation and Right to Work DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory. #J-18808-Ljbffr

Location: London (Hybrid – 2 days per week in our Spitalfields office) Team: Engineering Trint turns audio and video into searchable, editable text. Our customers - major broadcasters, news agencies, and media organisations - depend on us when stories are breaking and speed matters. We're a team of around 40 people building technology that sits at the heart of how stories get told. We've been "human in the loop" AI since before it was a buzzword. We take security seriously because our customers have to, and we ship small changes frequently because that's how you build something people can depend on. We're looking for a Lead Software Engineer to work with others to improve our platform infrastructure and shape how we build reliable, scalable systems at Trint. This is a technical leadership role, not a management one. You won't have direct reports, but you will have significant influence. You'll make decisions that affect how the whole engineering team works, mentor engineers across the function, and be the person we look to when it comes to infrastructure, reliability, and operational excellence. You’ll work closely with the VP of Engineering to shape technical direction. In a team of our size, you’ll be embedded wherever the work requires, we run a single standup across both squads and value engineers who move fluidly to where they're needed most. The context: We're projecting significant growth in 2026. Our systems need to scale accordingly, and our platform foundations need to support faster, more reliable delivery. You’ll be central to making that happen – from observability and developer experience to the infrastructure patterns that underpin everything we ship. Alongside the other Lead Engineers you’ll support and guide the team to shape the platform and infrastructure. You’ll be responsible for the reliability, scalability, and operability of our systems. That means CI/CD pipelines, infrastructure‑as‑code, observability, incident response, and the day‑to‑day health of production. You’ll make sure we can ship with confidence and sleep at night. Shape technical direction. You’ll work with the VP of Engineering and the wider team to make architectural decisions that stick. You’ll provide guidance on new platform development, challenge assumptions, and help us make good trade‑offs between speed, reliability, and complexity. Raise the bar. You’ll mentor and coach engineers across the team. You’ll lead by example in code reviews, pairing sessions, and technical discussions. When something’s not right, you’ll communicate clearly, and help fix it. Deliver. This isn’t an ivory tower role. You’ll write code, ship to production, and own problems end‑to‑end. You’ll be hands‑on with the systems you’re responsible for. Be a bridge. You’ll help product engineers understand operational concerns, and make sure platform work stays connected to customer value. You’ll contribute to a culture where everyone thinks about reliability, not just the "platform person". AWS, MongoDB, GraphQL, React, TypeScript, Python, Terraform. We have strong DORA metrics, we pair program, we deliver value in small increments and observe change. The tooling and process exist to help us move faster – we use them, we own them, they don’t own us. You have: • 5+ years of software engineering experience, with meaningful time spent in DevOps, SRE, or platform engineering roles, • Deep experience with AWS and infrastructure‑as‑code (we use Terraform, SST/CDK), • A strong grasp of what it takes to keep production systems reliable: CI/CD, observability, incident management, capacity planning, • Experience designing systems that scale – and debugging them when they don’t, • Enough breadth across the stack to understand how infrastructure decisions affect the engineers building on top of it, • Experience building services on the stack, not just building the stack You are: • A technical leader who influences through expertise and trust, not authority, • Opinionated but pragmatic – you have strong views, loosely held, and you can articulate trade‑offs clearly, • Someone who has lived through enough production incidents to know what matters and what doesn’t, • Genuinely invested in helping other engineers grow, • Clear in your communication – you can explain complex systems to people who don’t live in them every day Bonus if you have: • Experience with media processing pipelines or high‑throughput data systems, • Background in security‑conscious environments (enterprise, media, regulated industries), • Familiarity with AI/ML infrastructure and how models integrate with production systems You’ll work on systems that matter, with people who care, in a company small enough that you can see your impact. You’ll have the autonomy that comes with trust, the influence that comes with expertise, and the support that comes from being part of a team that values doing things right. Take risks. We focus on progress, not perfection. We make informed decisions and course‑correct when needed. Have impact. We deliver in days and weeks, not months. We’re obsessed with making a difference to our customers. Do the right thing. We communicate honestly. We take responsibility — even when no one is watching. Win together. It’s about we, not me. Interested? We’d love to hear from you. Email your CV to #J-18808-Ljbffr