You'll use Zapier, Make, n8n, Python or JavaScript, APIs, SQL, and webhooks. You'll own the automation layer for influencer marketing, building workflows for discovery, onboarding, contracts, content tracking, reporting, and payments.

Addepar★3.3 (7)· London

This role involves working with Addepar’s data, AI, and vertically integrated platform, including AI-driven workflows, data lakehouses, and third-party integrations. The Senior Enterprise Sales Engineer leads technical engagements with C-suite executives, driving the technical side of the sales cycle by demonstrating how Addepar’s platform modernizes complex financial legacy operations into AI-driven ecosystems.

Senior Platform Engineer role working with Azure, Kubernetes (AKS), Terraform, GitHub/GitHub Actions, ArgoCD, Docker, Bash/Shell, and Python. You will design, build, and operate central platform services for the Retail Platform Operations team, enabling development teams with self-service infrastructure and CI/CD automation at Legal & General.

You’ll build core features across backend, frontend, and infrastructure using Python, TypeScript, cloud infrastructure, event-driven systems, and third-party integrations. The company is an early-stage startup creating AI voice agents for real business customers. No specific team size is stated.

You will work with PHP, MySQL, HTML5, CSS, JavaScript, jQuery, React, Next.js, Laravel/Symfony, DevOps/CI/CD tools (Jenkins, Bamboo), Docker, and AWS. The team creates experiences through data and media management and data analytics engines, working on complex development for both industry-leading companies and startups.

Develop React applications using TypeScript and Node.js, running on Azure AKS with Azure PostgreSQL. Work with Terraform and Harness CI/CD pipelines, integrate RESTful APIs, and create end-to-end automation tests with tools like Selenium or Playwright.

You will use deep learning frameworks, distributed computing technologies, GPU-based training environments, and MLOps practices to build and deploy batch and real-time recommendation, ranking, and personalisation models. This role is within ASOS's Search & Recommendations team, which builds the machine learning systems that help millions of customers discover products daily.

You will work with PyTorch, TensorFlow, deep learning models, recommendation and retrieval systems, and MLOps practices on cloud infrastructure. Joining ASOS’s Outfits Discovery team, you will build and operate large-scale production ML systems that power personalised outfit recommendations and AI-driven fashion discovery for millions of customers.

Design and build scalable data pipelines using Python, Scala, Spark, PySpark, Azure Data Factory, Databricks, and Delta Lake. You’ll develop reusable platform components and templates that enable data scientists and engineers across product teams (Forecasting, Recommendations, Marketing, etc.) to deliver high-quality, production-ready data solutions.

You will work with Svelte, TypeScript, Python (FastAPI/Django), PostgreSQL, and AWS. Tab is a YC-backed London startup building a high-scale payments and discovery platform for independent tourism businesses. You will be one of the first developers on a lean, profitable team of nine.

Work with .NET, TypeScript, React, AWS, and CI/CD pipelines. Lead a small engineering team for a UK tech consultancy, owning technical delivery and architecture on client projects. Act as the technical face of projects from day one.

Build and scale distributed infrastructure on AWS using Pulumi for high-performance AI model inference. Develop end-to-end features across TypeScript/React frontends and Python-based agents for automating complex workflows in aerospace and healthcare.

You'll build core AI systems with FastAPI, TypeScript, React, LLMs, and voice interfaces, plus own infrastructure, observability, and evaluation frameworks. Fleetcraft is a London aerospace startup creating AI infrastructure for aircraft maintenance and manufacturing, with you shaping the technical roadmap end-to-end.

Work with Python, PostgreSQL, React/TypeScript, LLMs, prompt engineering and OpenAI evals to build production-ready algorithms and evaluation pipelines. As a founding AI engineer, you will develop proprietary AI for patent generation, delivering efficiency gains to 400+ global IP teams.

You will work with C#, Python, TypeScript, JavaScript, React Native, AWS or Azure, and various databases (relational, graph, document, key-value) plus SQL. The role supports critical projects aligned with Net Zero ambitions.

Build UI components using Vue.js, React, or Angular, plus JavaScript, HTML/CSS, and Figma. You'll join TransPerfect TechOps, which develops workflow improvements, core services for the GlobalLink platform, and scalable client interfaces. Work within an Agile (SCRUM/Kanban) team.

Use Vue.js/Nuxt.js, Node.js, TypeScript, MySQL, Docker, and AWS with AI-assisted tools like Claude. You will build and ship end-to-end features for &Dine’s online food marketplace connecting independent Makers and customers. Join a high-impact engineering team of four.

Barings★3.8 (43)· London

This Senior Associate role on the Quantitative & Risk Analytics team uses Python, SQL, Excel, and PowerBI to build and maintain quantitative ESG overlays for Barings’ public and private portfolios. You will produce ESG analytics and reporting, develop portfolio overlay strategies for decarbonization mandates, and partner with data vendors and internal teams to improve data quality.

NatWest Group★3.7 (1.2k)· London

Leading a team building cloud-hosted, event-driven microservices at NatWest Boxed, you will manage software and quality engineers across empowered squads while working with AWS, Google Cloud Platform, Java, Python, JavaScript, ReactJS, AngularJS, Kafka, Hadoop, PostgreSQL, Snowflake, and GitLab.

Ipsos★3.6 (1.8k)· London

You'll support employee experience projects using platforms like Qualtrics, Viva Glint, Perceptyx and Medallia, while leveraging AI tools. Ipsos Karian & Box's consulting team helps organisations measure and improve engagement, culture and leadership through employee research and listening technology.

JELLYFISH★3.5 (32)· London

You will work with Google, ChatGPT Search, Claude, Gemini, and market-specific search engines, applying knowledge graphs, structured data, embeddings, retrieval systems and training signals. As a Senior GEO Director at Jellyfish, a global digital marketing agency, you will be a senior practitioner and account leader for Generative Engine Optimisation across the EMEA business, serving a portfolio of Tier 1 accounts in CPG, retail and financial services.

The Football Association★4.3 (42)· London

Lead a team of Grassroots Data Analysts using Power BI, Excel, SQL, and DAX to build Place Profiles and integrate external datasets (ONS, health, demographic, local authority) for the FA's Grassroots Division. You will own the data & intelligence roadmap, drive adoption of analytics tools, and investigate AI to enhance insight delivery across the grassroots network.

Atlassian★3.9 (61)· London

Leads a team of forward-deployed engineers building AI-powered solutions with Python, JavaScript, APIs, microservices, and LLMs. The team partners directly with top organizations to apply Atlassian’s AI capabilities to solve real-world problems.

EXL Service★3.7 (2k)· London

You will work with Generative AI tools (OpenAI, LangChain, Hugging Face, Vertex AI, Bedrock), LLMs, vector databases (FAISS, Pinecone, ChromaDB), and Python frameworks (Transformers, PyTorch, scikit-learn). As part of EXL’s Data Science Team, you’ll build and deploy GenAI solutions for enterprise use cases such as customer service, document automation, summarization, and knowledge retrieval.

HCLTech★3.7 (11k)· London

You will work with Python, Go or Java, TypeScript, REST/gRPC, Gemini 3.0, Vertex AI, BigQuery, Vector Search, AlloyDB, Apache Beam/Dataflow, Agent Development Kit, LangGraph, and GKE. The role deploys Gemini Enterprise Agent Platform, designs multi-agent systems, and builds RAG pipelines to integrate with legacy APIs and ERP systems. Clients are in FS, RCPG, LSH, and manufacturing domains.