Worldpay★3.0 (53)· London

You'll design secure checkout APIs (UCP, ACP, AP2, Agentic Tokens, MPP) and SDKs, integrating AI agents and LLMs across Global Payments platforms. This greenfield team builds autonomous commerce infrastructure, defining how AI agents transact securely on behalf of consumers.

Lead Software Engineers use TypeScript, Java, Golang, Rust, Python; deploy on Kubernetes and Google Cloud; and work with BigQuery, REST, and observability tools. They build and scale supplier integration, search/recommendation, real-time pricing, ML marketing, booking/payment/fulfillment, and AI-powered systems for the company’s packaged-holiday platform.

Senior C++ Software Engineer role working with modern C++ (C++11/20), Linux, and SQL/relational databases plus Python. You will build and operate real-time trading systems for one of Europe’s largest pan-European equities markets, covering order handlers, matching engines, and market data. The small team practices end-to-end feature ownership with mentoring responsibilities.

JPMorgan★3.9 (20k)· London

You will install, migrate, decommission and support Broadcom/Bluecoat proxy devices (Proxy SG, ISW, CAS, SSL Visibility, SMC), use shell/Python and Ansible for automation, and work with REST APIs and container-based deployment. You are part of the Corporate Sector – Enterprise Technology - Egress team, delivering proxy-based security solutions.

You'll work with AWS, GCP, SIEM, EDR, DLP, MDM, Python, Go, and TypeScript. Risk Ledger builds a network for supply-chain organisations to share security maturity and visualise risks. You'll mature security operations, detection, incident response, and cloud security across cloud, endpoint, and SaaS environments.

Thomson Reuters★3.9 (4.3k)· London

Work with Java and Python across containerized services, relational databases, and distributed systems, including AI/LLM integration patterns. As a Principal Engineer on Thomson Reuters' HighQ, an enterprise collaboration platform for law firms, you will set technical direction, architect scalable systems, and lead the integration of AI and agent platforms.

Optimize ML inference for edge accelerators and GPUs using TensorRT, CUDA, Qualcomm QNN, Triton, MLIR, and ONNX. The team deploys large transformer-based models on low-cost, low-power edge devices for Wayve's first driving product. You'll work across compilers, runtimes, and kernels with Python and C++.

PA Consulting★3.7 (106)· London

You will build and lead a Forward Deployed Engineering unit, working with Domain-Adapted Language Models, Small Language Models, LLM fine-tuning, RAG, agentic workflows, evaluation frameworks, and MLOps. The team deploys production AI systems for strategic clients, growing from a founding cohort of 8-12 to a 100-plus person team.

Work with Python, Jenkins/Groovy, pytest, GTest, and CI/CD pipelines to build automation, tooling, and test frameworks for SDK teams across Linux and Windows environments. You'll develop quality engineering practices—automated tests, diagnostics, reporting, and developer feedback loops—to improve the reliability and delivery of SDK solutions. The role spans SDK teams in London, Bristol, and Dublin.

Apple★4.1 (14k)· London

You will use SystemVerilog, UVM, C++, and scripting languages (Python) to develop test benches, generate tests, and run simulations. This role performs pre-silicon RTL verification of blocks in high-performance 3D graphics processor microarchitectures for low-power mobile devices and personal computers.

Build REST and GraphQL APIs and MCP servers in Python (FastAPI, Flask) to expose ML models from Databricks to internal apps, CRM platforms, and AI agents at RBC. Work within the Data Science team to architect the serving layer, handling contract design, authentication, and documentation.

JPMorgan★3.9 (20k)· London

Cisco VPN infrastructure, Cisco ASA, ISE, CSM, Firepower/FDM, FTD/FMC, SASE, ZTNA, routing (BGP/OSPF/EIGRP), security protocols (IPsec/SSL/TLS/RADIUS/TACACS+), and automation tools (Ansible, Python, NSO, DNA Center, Terraform, Prime Infrastructure). You will design, implement, and operate enterprise VPN services enabling secure remote connectivity for the global workforce within the End User Compute organization at JPMorgan Chase.

You'll work with Microsoft Fabric, PySpark, Python, T-SQL, DAX, Infrastructure as Code, Git, and Azure DevOps. You'll design, build, and maintain data pipelines, lakehouses, and data warehouses within Fabric to drive business intelligence and analytics.

You will work with REST APIs, FIX protocol, JSON, SQL, command-line tools, and Python scripting to lead technical implementations and connectivity integrations for institutional clients. The role manages end-to-end onboarding of exchanges, liquidity providers, and clients onto Talos’ institutional-grade digital asset trading platform, handling platform configuration and troubleshooting. This is an implementation-focused role, not production support, requiring 3+ years of capital markets or fintech experience.

Version 1★3.9 (39)· London

Technologies include AWS security services, Python, Terraform/CloudFormation, and GitLab CI/CD. You embed within a large-scale cloud migration programme moving workloads to AWS, designing, automating, and enforcing security controls throughout the migration lifecycle.

Uses SQL, Python or scripting, BI tools like PowerBI/Looker/Tableau, spreadsheets, and Git to investigate fraud and build dashboards. The role sits in fraud analytics at Moniepoint, an all-in-one financial services platform powering POS transactions and banking across Nigeria and emerging markets.

Intercontinental Exchange★3.2 (156)· London

This is a senior product development role at ICE Data Indices in London, where you will design custom equity and commodity index methodologies using Python, advanced Excel, and the ICE Index Platform. You will engage directly with institutional clients and collaborate with quant and development teams to implement and validate indices. The role requires deep knowledge of equity and commodity index construction, including factor-based, ESG, and thematic approaches.

You'll work with the Natterbox platform including Voice AI Agents, Salesforce, telephony systems, and AI tools (LLM assistants, prompt-based workflows, internal AI agents). As a Solutions Engineer, you deliver technical wins in sales cycles by demonstrating the platform, designing solutions, and collaborating with Account Executives and partners.

You'll work with JavaScript, Node.js, Express, React, and MongoDB/Mongoose to set technical direction and oversee AI-assisted content-creation features. As Fractional Head of Product at StoryTerrace, you'll own the roadmap for two B2C platforms—an established product and a new self-serve app—directing one Full Stack Developer and advising on hiring. This role reports to the CEO and requires hands-on coding experience to unblock development.

Rocketlane seeks a Customer Engagement Manager to own end-to-end delivery of complex enterprise implementations, working with REST APIs, webhooks, OAuth, SAML, SSO, NetSuite, Salesforce, Workday, SAP, and iPaaS platforms like Workato and Boomi. The role leads 3–5 concurrent enterprise accounts through kickoff to go-live, designing integrations and driving project governance for a SaaS company focused on customer onboarding and professional services automation.

You'll work with Google Ads Scripts, APIs, SQL, AI/LLMs, value-based bidding, and automation tools to own VOY's multi-million-pound UK paid search channel and scale it internationally. The role involves building bidding systems, search strategies, and measurement with Data, Product, and CRO teams.

Claude, Zapier, Make, Monday.com, HubSpot, Notion, Airtable, and low-code/no-code tools. Leading an influencer agency's AI and automation strategy, driving tool adoption (especially Claude), building workflow automations, and managing system integrations. The role partners with the Operations Director to set strategy and deliver measurable efficiency gains across the business.

Trayport★4.2 (5)· London

You will work with AWS (VPC, EKS), Azure (AKS, AKV), Terraform, Kubernetes, CI/CD, and AI tools (Copilot, LLMs). You will design, build, and operate the infrastructure for a global trading platform, leading AI adoption to automate operations and reduce toil. This role is 70% hands-on engineering and 30% technical leadership, mentoring the Platform and Operations teams.

Brunel University★4.1 (154)· London

The role involves developing a wireless network digital twin system for smart city logistics, using 5G/6G, machine learning, AI models, large language models, and AIGC. Work includes performance analysis, radio propagation modeling, and network planning.

LexisNexis Legal & Professional★3.6 (1k)· London

You will drive AI ideation and integrate LLMs, NLP, and machine learning into Practical Guidance editorial workflows. This global role partners with commercial, product, and engineering teams to deploy scalable content-optimization solutions across North America, UK, and Asia-Pacific.