Use object-oriented programming (Java or C#), Salesforce Lightning, Force.com, Apex, SOQL, JavaScript, Git, Jira, IntelliJ, CI/CD, and Salesforce REST APIs. Hackajob Ltd is a platform that connects developers with job opportunities. This Salesforce Developer role delivers complex business and technical requirements on the Force.com platform.

Build enterprise-grade web applications using Python (Django/FastAPI), React, TypeScript, and PostgreSQL. Develop RESTful APIs, responsive UI components, and contribute to system design, CI/CD pipelines, and performance optimization.

You’ll work with Python (Django/FastAPI), React, TypeScript, PostgreSQL, REST APIs, and CI/CD. You’ll own end-to-end feature delivery on scalable, enterprise-grade web applications.

Java (JDK 11+), multithreading, SQL/NoSQL databases (Oracle, MySQL, PostgreSQL, MongoDB, Cassandra), message queuing (Kafka, Tibco, Solace), Linux, JVM, and TDD. This tech lead role builds high-performance FX risk calculation systems for Citi’s Markets technology team, which supports global trading and risk management.

Work with Java, GitHub Copilot, Devin.AI, Citi Squad, Stylus Workspaces (Gemini, OpenAI, Claude, Llama), Docker, Kubernetes, and CI/CD. Build high-performance, real-time FX risk management systems for a greenfield platform with a 10+ year strategic commitment. As a VP, lead end-to-end delivery and technical direction.

Work with Salesforce Lightning, Apex, SOQL, JavaScript, and the Force.com platform, with exposure to Git, Jira, IntelliJ, CI/CD practices, and Salesforce REST APIs. You will deliver solutions and manage complex business and technical requirements.

You will work with Python, PyTorch, PyTorch Lightning, TensorFlow, and experiment tracking tools to design and implement custom machine learning model components for Search, Retrieval, Ranking, or Content AI. You will join the Tripadvisor Experiences R&D Team, which is evolving the marketplace for travel experiences by powering how millions of users discover and plan itineraries. You will act as a technical lead and pod architect, and mentor mid-level and associate ML scientists.

Software Engineers at Axle build core infrastructure for connecting and orchestrating distributed energy devices (vehicle charging, heating, home batteries) to participate in electricity markets. You'll work with Python, React, Docker, GCP, and Claude Code AI.

Tripadvisor★3.9 (142)· London

You will work with Python and PyTorch/TensorFlow, leading the ML strategy for Search, Ranking, and Content AI. As a technical lead and pod architect on the Tripadvisor Experiences R&D team, you will evolve the core discovery engine for their travel experiences marketplace and formally mentor mid-level and associate ML scientists.

Work with Python, PyTorch, scipy, scikit-learn, numpy, pandas, MLflow, Docker, Kubernetes, Ray, and GCP to build and scale distributed compute for research workloads. Phaidra creates AI-powered control systems for the industrial sector using reinforcement learning to enable facilities to learn and improve automatically.

Tripadvisor★3.9 (142)· London

You will lead ML strategy and execution for the core discovery engine powering search, retrieval, ranking, and recommendation systems, working with Python, TensorFlow, PyTorch, Spark, Ray, and AWS/GCP. You will mentor a high-performing team of scientists and bridge AI research with production-grade engineering for multi-task ranking, sequential user modeling, and graph-based travel recommendations.

You will use SQL and Python to own and optimize daily UK energy trading operations, including asset management and settlements, debugging complex edge cases, and communicating insights to engineering and commercial teams at Axle Energy, which controls hundreds of thousands of energy assets to shift usage to cheap, green electricity.

Revolut★3.4 (183)· London

You will work on Python, PyTorch, TensorFlow, Keras, OpenCV, Jupyter, Docker, and GCP, with SQL and CI/CD. The team builds and deploys computer vision models to automate compliance processes like ID verification and facial recognition for account onboarding.

Revolut★3.4 (183)· London

You will work with Python, SQL, and ML/AI techniques, applying probability distributions, time series, regression, and Monte Carlo simulations. This role validates and develops model risk management for models covering Market, Liquidity, Capital, Finance, and Financial Crime risks at Revolut’s UK Bank, providing insights to senior management.

You will work with Spark, PySpark, Flink, Kafka, Ray, Airflow, Kubernetes, and BigQuery to build a scalable feature platform powering Ads ML. This includes batch and realtime feature management, training set generation, and agentic ML workflows. The role is on a small but growing team.

Work with Python, C++, PyTorch, JAX, TensorFlow, and distributed training tools (DeepSpeed, FSDP, Megatron, Ray) plus GPU programming (CUDA, Triton, NCCL). You will design and optimize large-scale training and inference systems for modern ML workloads, partnering with researchers to productionize cutting-edge ideas across distributed systems, HPC, and compute infrastructure.

Liberis★4.2 (5)· London

You'll work with Apex, Lightning Web Components, SOQL/SOSL, Flow, REST/SOAP APIs, GitHub, CI/CD, and Salesforce DX. You'll lead a pod of up to four developers and admins owning the Salesforce platform that drives merchant and partner acquisition, onboarding, and support across 15 markets for Liberis, an embedded finance platform for small business funding.

You will work with Python/C++, Ray, Spark, Flink, Kafka/Beam, and ML frameworks for search/recsys and frontier AI (LLMs, RL, multi-agent orchestration). Your role involves building enterprise superintelligence systems—end-to-end architectures that take ownership of business outcomes—as a founding scientist on a small, senior team.

You'll work with Python, PyTorch, AWS, Ray, PyTorch Lightning, and Weights & Biases to design and train machine learning models for Entrust's digital identity verification platform (formerly Onfido), tackling deepfake detection, bias mitigation, document understanding, and anomaly detection. The Applied Science team has approximately twenty machine learning scientists working with product engineering to deploy models for identity verification and facial biometrics at global scale.

You will work with Python, React, Docker, GCP, and Claude Code AI. The team builds core infrastructure to connect and orchestrate distributed energy devices like vehicle chargers and home batteries, enabling them to participate in electricity markets.

SQL and Python for analyzing data, investigating issues, and automating processes. You will own daily operations for UK energy trading, including asset management, settlements, and debugging edge cases, as part of a company that controls energy assets to move electricity usage to cheap, green times.

Lightning AI seeks AI Platform Support Engineers to support ML engineers running large-scale training and inference workloads on Kubernetes and GPU platforms. You'll diagnose distributed PyTorch failures, GPU orchestration issues, and infrastructure problems using tools like Prometheus and Grafana, while partnering with customer engineering teams on production reliability. Required: strong systems troubleshooting, Kubernetes experience, Linux expertise, hands-on ML infrastructure operations with PyTorch and CUDA, and excellent communication with technical customers.

Build and operate a Kubernetes-native cloud platform for GPU inference workloads, using Python or Go. You'll lead technical designs, own areas like request routing and adaptive scheduling, and implement optimizations such as speculative decoding and KV-cache reuse, working with Prometheus, Grafana, and OpenTelemetry.

Boehringer Ingelheim★4.0 (2k)· London

You will work with Python, PyTorch, JAX, and distributed training frameworks like DeepSpeed to build and optimize production biomedical foundation models. Part of the AI Systems team within Boehringer Ingelheim's AI Accelerator, you will integrate multimodal clinical and omics data to enhance disease understanding and accelerate portfolio decision-making.

Harvey Nash★3.8 (49)· London

Work with Apex, Lightning Web Components, Salesforce Flows, and DevOps tools like Gearset or Copado across Sales, Service, and Experience Clouds. Lead the delivery of scalable Salesforce solutions on client projects for a digital consultancy, mentoring developers and driving engineering best practices.