You will build evaluation, experimentation, and observability pipelines using Python and platforms like Braintrust, LangSmith, Arize, and Weights & Biases, plus design LLM-as-judge and human-in-the-loop scoring. The role focuses on AI-native consulting for clients like PayPal and adidas, including production monitoring, quality signal detection, and cost attribution. You'll also wire evaluation gates into CI/CD pipelines for the AI Engineering team.

Build, run, and evolve the API gateway and routing layer connecting engineers and client workloads to multiple LLM providers (Anthropic, AWS Bedrock, OpenAI), including failover and routing strategies, using Python or Go. The team also designs orchestration and lifecycle management for AI capabilities and implements RBAC/OIDC access controls. This is a role within CreateFuture, an AI-native consulting partner building digital products for clients.

Build and run the API gateway and routing layer connecting workloads to Anthropic, AWS Bedrock, and OpenAI using Python or Go, Kong or Envoy, and RBAC/OIDC. The team creates the infrastructure and orchestration tooling that turns AI integrations into a reusable "capability marketplace" with governance controls. Senior engineers own delivery of key platform components from the gateway through orchestration.

You'll work with Kubernetes, Terraform, Python, AWS or GCP, and CI/CD tools (GitHub Actions, GitLab CI, Argo CD), plus observability stacks (Datadog, Prometheus, Grafana). You'll bring SRE discipline to an AI platform hosting model serving, agent orchestration, and batch inference.

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.

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.

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.

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.

Amazon★3.5 (56k)· London

This role involves designing and building scalable security systems, with development in Java, C++, or C#. You’ll automate pentest processes and create a greenfield product that provides critical security details about Amazon applications, working with teams across the company. The position involves owning architecture, design, and reliability for new and existing systems.

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.

Wise★3.5 (42)· London

You'll work with Java, microservices, event-driven architectures, and relational databases, advocating continuous delivery and coding best practices. The embedded finance team builds a platform enabling partners like Google and Deel to offer embedded finance products. As a hands-on engineering lead, you'll mentor engineers and drive technical decisions.

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.

Wise★3.5 (42)· London

Lead engineers building products for international business banking, working with Java, REST APIs, microservices, distributed systems, and CI/CD pipelines. You will design an integration platform to streamline onboarding and reduce engineering effort for new accounting software integrations. This role involves leading, coaching, and mentoring a team of engineers.

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.

Wise★3.5 (42)· London

You will build scalable systems for business onboarding and verification using Java or JVM languages, Spring framework, JDBC, and relational/non-relational databases with CI/CD pipelines and distributed systems. This engineering team owns end-to-end projects to automate verification, create flexible onboarding journeys, and manage compliance risks for Wise’s money-moving platform across Europe and the UK.

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.

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.

No specific technologies, languages, or tools listed. Moth builds tools for Entertainment, Media, and Creative industries, democratizing quantum computing for creators. The team is described as a small, dynamic, hands-on operations team.