9 of 9 MLOps Jobs in Worcester

Docker/Kubernetes). Ability to work in highly regulated, security-conscious environments. Nice-to-Have: Experience in domains such as NLP, behaviour analytics, MLOps, or secure communications. Knowledge of ethics, bias mitigation, and fairness in AI. Familiarity with justice technology, corrections, or secure IT systems. Contributions to AI research ...

Familiar with Docker and CI/CD pipelines Experience with managed ML platforms such as SageMaker, Vertex AI or Azure ML Data engineering and MLOps Experience with data warehouses such as Snowflake, BigQuery or Redshift Workflow orchestration using tools like Airflow or Dagster Experience with MLOps tools such as MLflow ...

workflows (no legal background required) Bonus experience: • NLP on long-form or structured documents • LangChain/LangGraph, LlamaIndex, Hugging Face • Cloud (AWS/Azure), MLOps, vector databases • Experience in fast-paced AI environments or start ...

Consulting & Mentorship: Act as the internal authority and consultant, providing technical guidance, architectural review, and mentorship to junior data scientists and engineering teams. MLOps & Governance: Establish best practices for MLOps, model monitoring, version control, and model risk governance in a multi-cloud production environment. Required Skills and Expertise (10+ Years ...

data ingestion and transformation pipelines. Work with structured and unstructured data from databases, APIs, and data lakes. Ensure data quality, reproducibility, and versioning. 4. MLOps & Automation Implement MLOps practices including CI/CD for ML, model versioning, and experiment tracking. Use tools such as MLflow, Kubeflow, SageMaker, Vertex ...

production deployment — while mentoring top engineers and collaborating closely with research and infrastructure leaders. You'll combine technical depth in deep learning and MLOps with leadership in execution and strategy, ensuring that Turing's AI initiatives deliver reliable, high-performance systems that translate research breakthroughs into measurable business impact. This … navigating the intersection of research, engineering, and product delivery. Roles & Responsibilities: Lead and mentor a cross-functional team of ML engineers, data scientists, and MLOps professionals. Oversee the full lifecycle of LLM and ML projects — from data collection to training, evaluation, and deployment. Collaborate with Research, Product, and Infrastructure teams ...

internal ML community, influencing how we implement AI and computer vision technologies. · Take ownership of customer outcomes and contribute across software engineering, DevOps, and MLOps functions. About You We're looking for a proactive and versatile engineer who thrives in a collaborative environment and enjoys solving meaningful technical challenges. … . Nice to Have: · Experience working in a fully remote, international team. · Previous startup experience. · Experience building or operating agentic AI systems. · Familiarity with MLOps practices and tools, CI/CD pipelines (e.g. GitLab CI, Argo CD), and infrastructure-as-code tools (e.g. Terraform). · Knowledge of SQL/NoSQL ...

first centralised data platform, with a clear focus on enabling AI development rather than analytics or BI. Working closely with AI Engineers and MLOps Engineers, you'll ensure datasets are structured, versioned and reproducible so models can be trained, evaluated, monitored and retrained reliably. This role is hands … lifecycle management Supporting AI teams with training, validation and test data splits Embedding data quality checks, monitoring, lineage and drift detection Working closely with MLOps to support model monitoring and retraining Ensuring data privacy, security and compliance are built in from day one Using infrastructure-as-code and CI/ ...

foundations. What You'll Be Doing Taking full engineering and architectural ownership of a synthetic data platform already in the advanced build phase. Driving MLOps and production deployment workflows across GCP, Vertex AI, and model lifecycle management. Making critical design decisions—defending your technical strategy and knowing when to push … engagement in a global organisation with a multi-£billion turnover. What We're Looking For Senior engineering authority with proven delivery of ML/MLOps platforms into production. Hands-on expertise in Python, Cloud and LLM solutions and model lifecycle management. Ability to operate in a high-visibility, high-stakes ...