You'll work with TypeScript, Python, Playwright, Cypress, WebdriverIO, Node.js, Docker, and GitHub Actions/GitLab CI to build and maintain test automation frameworks and CI pipelines for Connected TV devices. You'll join FX Digital's Quality Engineering team, taking ownership of automation platform pieces and mentoring junior engineers—no prior TV experience required.

Meta★4.0 (1.1k)· London

Business Support Engineer supporting Meta's Business Agent, an AI platform helping businesses boost productivity. Work with Python, PHP/Hack, JavaScript/React, REST APIs, SQL, PyTorch, Llama and other LLMs, plus cloud infrastructure (Kubernetes, Docker). Provide engineering support, troubleshoot distributed systems, and build AI solutions from prototype to production.

You'll work with Java, Python, JavaScript and Agile methods to design, build and test software. The Engineering Platforms team delivers a modern software development tools chain for engineers across NatWest Group.

Build backend databases in SQL Server and Azure, build machine-learning models in Azure, Microsoft Fabric and Alteryx, and develop front-end apps using Python, SQL, C#/.NET and JavaScript for the SMDAM Private Markets team. The role drives private credit data infrastructure end-to-end, extracting insights from text to power deal-sourcing and monitoring across the entire private credit lifecycle.

Work with AWS, Docker, Kubernetes, CI/CD pipelines, infrastructure-as-code, and Python/Go/Ruby/JavaScript. You will support Digital Engagement products and help build the AI Platform at SBS, a global fintech partner for banks and financial institutions.

You will work with scripting languages, pipelining tools, and machine learning, focusing on adversarial robustness, data influence, watermarking, and GenAI audio/video models. The team accelerates research on trustworthy, robust ML, including the provenance of synthetic media and data trustworthiness, with SynthID as a public example.

You will develop neuro-symbolic AI architectures for Project SENTINEL, an Innovate UK grant-funded initiative building provably safe guardrails for autonomous systems. Your daily work involves Python and ML libraries (PyTorch, TensorFlow, scikit-learn) to design deep learning models, NLP systems, and scalable ML pipelines for production deployment.

Work with Vue.js, React, or Angular, JavaScript, HTML/CSS, and Figma. You will implement features and build reusable UI components for TransPerfect's TechOps team, which delivers workflow tools and client interfaces for the GlobalLink platform.

You'll build end-to-end features for &Dine's food marketplace using Vue.js/Nuxt.js, Node.js, TypeScript, MySQL, Docker, and AWS. The platform connects independent Makers with customers seeking handmade food. You'll be part of a lean engineering team of four, owning from design to deployment and mentoring junior engineers.

Junior AI Engineer role at NEWTO TRAINING LIMITED involves no specified technologies, tools, or frameworks in the listing. The company focuses on training and welcomes career changers with no prior experience; no team size or project details are provided.

Infosys★3.8 (17k)· London

Lead Consultant role at Infosys, based in the Netherlands, working with .Net and WPF technologies. The listing focuses on Infosys’ corporate culture and career growth rather than a specific project, team size, or product details. No additional technical tools, project scope, or team leadership specifics are provided.

The role involves developing Salesforce Lightning and Force.com solutions using Apex, SOQL, and JavaScript, with object-oriented programming in Java or C#. Git, Jira, IntelliJ, CI/CD, and Salesforce REST APIs are also mentioned. The position is with Hackajob Ltd, but the listing gives no details on the product or team.

You will architect pipelines with Spark, Airflow, Kafka, PostgreSQL, MongoDB, and vector databases (Qdrant, Milvus, pgvector) using Python. As the first senior data hire at an early-stage AI company, you lead design of data infrastructure for real-time AI inference. You will build and eventually lead your own data engineering team.

Lead, coach, and mentor engineers using Java and JavaScript frameworks. The client is a healthcare provider building modern, scalable products to deliver world-class patient experiences across the UK as part of a digital transformation.

Build full-stack products from scratch using TypeScript, React, Node.js, Python, JavaScript, SQL/NoSQL databases, Google Cloud, and AI/ML/LLM tooling. The ITO builds proprietary AI infrastructure, consumer/enterprise digital products, and the data/intelligence layer for Steven.com's creator-economy operating system. You will work directly with the VP of Engineering and product leaders on features and strategy.

This Junior Software Engineer role uses Python, Node.js, PostgreSQL, MongoDB, React, and AWS to build backend services, APIs, and frontend applications while supporting commercial machine learning model deployment.

Senior Quality Engineers will build AI Agents, test frameworks, CI tooling and helpers using LLMs and AI tooling, working with GitHub Actions and observability (Datadog, Sentry, Grafana) across an AI-assisted testing function. The team defines Lendable's test pyramid, improves E2E automation, and partners with product and engineering to shift quality left across credit products.

You'll work with AI agents, LLMs, test frameworks, CI tooling (GitHub Actions), and observability stacks (Datadog, Sentry, Grafana) to automate quality across Lendable's fintech credit products. The role enables cross-functional product teams to maintain high quality through hands-on coding, AI-assisted test authoring, and shift-left practices.

You will use PyTorch or JAX, Python, and DFT packages like VASP or Quantum Espresso to develop machine learning interatomic potentials (MLIPs) that accelerate discovery of advanced functional materials by integrating ML with first-principles physics and automated experimental data.

Fine-tune and distill small language models (Llama, Mistral) using quantization (GGUF, AWQ) and inference engines (vLLM, TensorRT-LLM). Presential Limited builds the privacy layer for enterprise AI, enabling tier-1 banks to securely use sensitive data with external models. As founding AI engineer, you’ll own the model layer and ship production solutions.

You will work with Python, Django, data pipelines, algorithms, and machine learning models to build an AI-powered engine that automates electronic circuit board design from requirements to manufacture-ready outputs.

You will lead a UK data team across Data Science, ML Engineering, Analytics Engineering, and Data Engineering, working with GCP, Databricks, and Redshift. The team supports Juniper, a weight-management program combining GLP-1 medication with clinical and behavioural care. You will manage 4-5 people and oversee migrations from Databricks and Redshift to GCP.

Imperial College London★4.2 (238)· London

Wellcome Trust-funded postdoc at Imperial College London developing deep neural networks for volumetric voltage imaging of mammalian brains, using optimisation, signal processing, lightfield imaging, and model-based deep learning/training.

You will work with Python, deep learning image models, machine learning and large image and tabular datasets. The KYC Global and Onboarding Team implements ML models and systems supporting Document verification for customer onboarding. You will own the full lifecycle of these models and mentor junior team members.

Glasswall★0.0· London

You'll work with C++, C#, Python, Assembly, and tools like static/dynamic analyzers, debuggers, disassemblers, detonation chambers, and agentic AI. As a Senior Security Researcher on a small team, you'll investigate threats to Glasswall's Content Disarm and Reconstruction technology through vulnerability research, penetration testing, and malware analysis.