problem-solving skills and ability to work independently in a fast-paced environment. Desirable: Experience with NLP, computer vision, or time-series forecasting. Familiarity with distributed computing frameworks (Spark, Ray). Experience with MLOps and model governance practices. Previous contract experience in a similar ML engineering role. Contract Details Duration: 6–12 months (extension possible) Location: London (Hybrid working model More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Experis
problem-solving skills and ability to work independently in a fast-paced environment. Desirable: Experience with NLP, computer vision, or time-series forecasting. Familiarity with distributed computing frameworks (Spark, Ray). Experience with MLOps and model governance practices. Previous contract experience in a similar ML engineering role. Contract Details Duration: 6–12 months (extension possible) Location: London (Hybrid working model More ❯
london, south east england, united kingdom Hybrid / WFH Options
Experis
problem-solving skills and ability to work independently in a fast-paced environment. Desirable: Experience with NLP, computer vision, or time-series forecasting. Familiarity with distributed computing frameworks (Spark, Ray). Experience with MLOps and model governance practices. Previous contract experience in a similar ML engineering role. Contract Details Duration: 6–12 months (extension possible) Location: London (Hybrid working model More ❯
slough, south east england, united kingdom Hybrid / WFH Options
Experis
problem-solving skills and ability to work independently in a fast-paced environment. Desirable: Experience with NLP, computer vision, or time-series forecasting. Familiarity with distributed computing frameworks (Spark, Ray). Experience with MLOps and model governance practices. Previous contract experience in a similar ML engineering role. Contract Details Duration: 6–12 months (extension possible) Location: London (Hybrid working model More ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
Experis
problem-solving skills and ability to work independently in a fast-paced environment. Desirable: Experience with NLP, computer vision, or time-series forecasting. Familiarity with distributed computing frameworks (Spark, Ray). Experience with MLOps and model governance practices. Previous contract experience in a similar ML engineering role. Contract Details Duration: 6–12 months (extension possible) Location: London (Hybrid working model More ❯
in datacenter and edge settings. Familiarity with ethical AI, bias mitigation, and regulatory compliance in model development. Strong programming skills in Python and experience with distributed systems (e.g., Kubernetes, Ray). Important information for candidates Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed More ❯
Pallas, Triton, and/or CUDA code to achieve performance breakthroughs. Required Skills Understanding of Linux systems, performance analysis tools, and hardware optimisation techniques Experience with distributed training frameworks (Ray, Dask, PyTorch Lightning, etc.) Expertise with Python and/or C/C++ Development with machine learning frameworks (JAX, Tensorflow, PyTorch etc.) Passion for profiling, identifying bottlenecks, and delivering efficient More ❯
to take ownership of tasks Tech Stack Core : Python, FastAPI, asyncio, Airflow, Luigi, PySpark, Docker, LangGraph Data Stores : Vector Databases, DynamoDB, AWS S3, AWS RDS Cloud & MLOps : AWS, Databricks, Ray ️ Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year Fully remote team - choose where you live ️ Work from home stipend! We want More ❯
in Deep Learning, including training, evaluation, and optimisation. Strong grounding in mathematics, statistics, and data analysis. Experience working in Agile environments. Familiarity with technologies such as AWS, GCP, Kubernetes, Ray Serve, and Kubeflow is desirable. ---------------------------------------- Professional Values Growth: Demonstrates curiosity, adaptability, and continuous learning. Accountability: Takes ownership and delivers to a high standard. Innovation: Embraces experimentation and emerging technologies to More ❯
