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.

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.

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.

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.

You’ll build and ship user-facing apps primarily on Databricks Apps, using React, Vue, or Angular, and integrate with REST/GraphQL APIs served by the Data Science team. You are the technical lead on a team migrating from Power BI to custom applications, owning the full lifecycle while mentoring engineers on DevOps practices like Git and CI/CD.

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.

JustPark★2.7 (6)· London

You’ll build agents/tools using Claude Code, working with Asana, Jira, Salesforce, Slack, Zendesk, Git, and APIs via Postman. You’ll partner with commercial, marketing, finance, operations, success, and support teams to map processes, automate workflows, and upskill internal teams. You’re a technical generalist solving high-autonomy, cross-department inefficiencies at a unified B2B/B2C parking platform.

Work with Python, PyTorch, JAX, CUDA, Docker, Kubernetes, Slurm, Ray, and Linux on GPU computing. The Molecular Intelligence team builds ML and physics-based infrastructure for drug discovery, including biophysics, chemistry, cofolding models, simulation workflows, and agent-usable scientific pipelines.

Work with OpenMM, OpenFE, molecular dynamics, MM/GBSA, and free-energy perturbation (RBFE/ABFE) to build validated biophysics workflows for Lila Sciences’ agentic drug discovery platform. Define scientific requirements and validation standards so AI agents can reliably use biophysics tools. Collaborate with computational scientists, ML researchers, and research engineers.

Bloomberg★3.8 (1.1k)· London

You will define the strategy for Bloomberg’s internal AI Platform Experiences & Integrations, focusing on agent-driven interfaces, copilots, and workflow orchestration. The role involves shaping next-generation interaction patterns using emerging agentic protocols (MCP, A2A) and developer workflows.

Relay Technologies★2.0 (9)· London

At Relay Technologies you will build and own time-series forecasting models for parcel volume, inbound international volume, and parcel size/weight, using Python and ML frameworks. You will work on the Network squad’s demand-forecasting engine that predicts parcel movement across sortation, middle-mile, and last-mile operations, directly affecting cost per parcel. This is a hands-on individual-contributor role, serving as the technical anchor for Demand Forecasting, collaborating with a Senior Data Scientist, ML Engineer, and Analyst.

Work with Python, SQL, graph databases, graph ML, Docker, Kubernetes, and LLMs. Own and evolve Kharon's risk propagation engine that analyzes entities in a knowledge graph to surface risk signals for global security clients.

Sunlighten UK & Europe★2.0 (1)· London

You’ll work with Five9 (or comparable contact-center platforms), Salesforce Sales/Service Cloud, REST APIs, Zapier, and possibly JavaScript, Python, or .NET to build IVR, dialer, lead-routing, live-chat, and SMS integrations. The role owns Sunlighten’s UK omnichannel customer-engagement platform, connecting customers with Sales and Customer Care across voice, digital, and messaging channels. No team size is stated.

You will build with TypeScript, React, and SQL, using tools like GrowthBook, PostHog, LaunchDarkly, Statsig, Amplitude, Customer.io, and agentic coding tools such as Claude Code or Cursor. You'll join a small, senior engineering team at a seed-stage AI startup creating an AI employee that drafts client work for small businesses, owning the product's growth and activation funnel end-to-end.

Chubb Insurance★3.7 (1.3k)· London

You will use Python, Hugging Face Transformers, LangChain, LlamaIndex, PyTorch, TensorFlow, Docker, and cloud platforms to build and deploy LLM, RAG, and conversational AI applications. As part of Chubb Insurance's Global Analytics team, you'll design production-ready AI solutions for business value.

Cognizant★3.8 (17k)· London

You will work with Python (FastAPI or Flask) in a serverless architecture, integrating with a NextJS/React frontend and third-party APIs. You will help build and enhance the NHS Digital Onboarding Service (DOS) for the NHS API Platform.