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.

Post-train, fine-tune, and distil frontier language models using RL, distillation, and reward design in Python. Build production-grade simulation systems that model thousands of individuals in real-time for a Societal World Model at a YC-backed startup.

You’ll work with Python, FastAPI, TypeScript, React, and GCP. Electric Twin builds a behavioral simulation platform that creates “digital twins” of real populations, helping organizations test decisions with 95% accuracy.

You'll work with Python (FastAPI/Django), Svelte/TypeScript, and AWS to build features across a payments and discovery platform. Tab is a YC-backed travel fintech enabling 100,000+ global tourism businesses to accept payments in 100+ currencies.

Allianz★3.8 (3.4k)· London

You'll build production data/ML systems using Python, Docker, Kubernetes, Terraform, Azure, Azure DevOps or GitHub Actions, plus SQL, PySpark, dbt, and Microsoft Fabric. Joining a small agile team, you'll deliver real-time API endpoints serving 10M+ daily requests and evolve cloud infrastructure and

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.

Build a high-performance LLM gateway in Go, working with Kubernetes, SQL databases, and distributed caching to route and secure AI traffic across 400+ providers. As a founding engineer at Requesty Ltd, you will design and scale this "Cloudflare for AI" infrastructure, currently processing 75B+ daily tokens for enterprises like Shopify and Pfizer.

Fine-tune and distill small language models (Llama, Mistral) using quantization (GGUF, AWQ), vLLM, TensorRT-LLM, FlashAttention, and frameworks like Apple MLX or llama.cpp. The founding engineer will own the model layer, shipping production AI for a pre-seed startup building privacy solutions for tier-1 banks.

You will work with Python, PyTorch or JAX, Docker, CI/CD, and cloud platforms to deploy ML models for protein design. The team builds scalable infrastructure for training, inference, and evaluation across molecular and protein datasets, taking research prototypes into production.

You will build the AI platform for a London fintech that automates insurance claims, using LLMs, NLP, and ML for document ingestion, fraud detection, and coverage decisions. You will develop and deploy production-scale systems alongside founders and insurance domain experts.

You will build and optimize multi-agent AI systems using Python and LLM orchestration tools like Temporal or LangChain, plus observability and data pipelines. Tuza is a London fintech creating AI agents that automate manual banking workflows for partners like Worldpay and NatWest.

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.

You will work with Java, Spring Boot, microservices, REST APIs, AWS, DevOps and CI/CD pipelines. You’ll lead client projects for a global technology consultancy, mainly in financial services, focusing on migrating legacy systems to AWS and introducing cloud deployments. As Principal Java Developer, you will lead projects, but team size isn’t specified.

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.

Verkada★3.1 (18)· London

You'll work with TCP/IP, DNS, DHCP, routing/switching, APIs, Python, and Linux. Verkada provides an AI-powered platform for video security, access control, and IoT devices. As a Solutions Engineer, you'll support sales by designing security systems and becoming a trusted technical advisor to customers.

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.

Methods Business and Digital Technology★4.5 (2)· London

Work with Microsoft Fabric, Power BI, OneLake, Data Factory, Synapse Data Engineering, Data Warehousing, Real-Time Intelligence, Azure services, and Purview. Design, configure, and support Fabric solutions for clients, delivering modern data platforms, analytics, and integrated data solutions across public and private sectors.

Imperial College London★4.2 (238)· London

You will work with R, Python, Stata, or SAS; SQL; cloud-based or high-performance computing; and Bayesian methods. The Misra Group uses large-scale real-world datasets to investigate metabolic dysfunction in type 1 diabetes and develop clinical risk prediction models for individualised care.

Fujitsu★3.6 (2.4k)· London

You will integrate manipulator stacks in ROS 2, using Python and C++ for control, motion planning, force/torque sensing, and hardware reliability. The project builds the first holistic vulnerability scanner for physical AI systems, evaluating embodied AI under controlled perturbations across sensing, language-conditioned control, and contact dynamics.

ZS Associates★3.5 (460)· London

Work with Python, R, SQL, or cloud technologies to analyze scientific, clinical and commercial data and support drug discovery decisions. You help pharmaceutical and biotech clients design R&D strategies, accelerate innovation and improve drug development processes as part of ZS's R&D and Drug Development team.

McKinsey & Company★4.2 (952)· London

You will work with deep learning, foundation models, Bayesian modelling, causal inference, LLMs, and computational chemistry/protein engineering. As part of McKinsey’s global scientific AI team, you help transform clients’ R&D in life sciences, chemicals, energy, and other scientific industries.

Bounteous★3.5 (80)· London

You will work with Linux, Bash, Python, SQL, Grafana, Zabbix, Splunk, Logic Monitor, Kafka, AMQ, Tomcat, FIX protocol, and AWS (EC2, CloudWatch, S3). Supporting Nadex, a regulated derivatives trading exchange, you will ensure stability and performance of production and demo trading environments.

Imperial College London★4.2 (238)· London

Postdoctoral Research Associate role using R, Python, Google Earth Engine, drone-based multispectral and LiDAR data, satellite Earth Observation products, and machine-learning methods. The ADAPTA project integrates tropical forest field ecology, plant functional traits, and biodiversity data with remote sensing to quantify ecosystem resilience. Position involves leading international fieldwork campaigns and coordinating with partners across Europe and the tropics.