The job description provides no role-specific responsibilities or qualifications beyond the senior Machine Learning Engineer title. The employer includes an equal opportunity statement and directs applicants to federal employment rights information.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.
Similar Jobs
Marketing Tech • Software
Lead the architecture, development, deployment, and operation of scalable machine learning systems for algorithmic recommendations. Convert data science prototypes into reliable production software, develop training and inference pipelines, implement MLOps practices, and optimize monitoring and infrastructure. Collaborate with data scientists, product managers, and backend engineers while mentoring peers, influencing technical decisions, and ensuring system reliability.
Top Skills:
AirflowAws SagemakerCi/CdDagsterDistributed Data ProcessingDockerFeature StoresGcp Vertex AiKubernetesPythonRest ApisSQLTerraform
Marketing Tech • Software
Develop, deploy, and scale machine learning systems for logistics, including ETA prediction, pricing, supply and demand forecasting, and optimization. Build real-time data pipelines, evaluation frameworks, and production data science applications. Collaborate with cross-functional teams while applying cloud services, microservices, event-driven architecture, Kubernetes, and other production technologies to support systems handling millions of daily transactions.
Top Skills:
AirflowAmazon Web Services (Aws)Apache FlinkCloud ArchitectureDockerEvent-Driven ArchitectureGoogle Cloud Platform (Gcp)KubernetesMicroservicesMlflowPythonReal-Time Data StreamingServerless Computing
Fintech • Software • Financial Services • Cryptocurrency
Lead design, build, deploy, and maintain production ML and LLM systems, own ML infrastructure and pipelines, implement MLOps (CI/CD, monitoring, drift detection), optimize inference and cost, mentor engineers, and collaborate with product and data teams for scalable AI solutions.
Top Skills:
AdjustAirflowAnthropic ApiApache IcebergArizeAws EksAws LambdaAws S3Aws SagemakerAzure DatabricksAzure MlCohereDagsterDatabricksDatasetsDelta LakeDiffusersDockerEmbedding ModelsEvidently AiFaissFirebaseGCPGithub ActionsGitlab CiHugging FaceKubernetesLakehouseLangchainLightgbmLlamaindexLoraMilvusMlflowMoengageOpenai ApiPeftPineconePrefectPysparkPythonPyTorchRagRagasSparkTensorFlowTransformersWeaviateWeights And BiasesXgboost
What you need to know about the London Tech Scene
London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.


