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Omnis Partners

Omnis Partners

omnis.partners

6 Jobs

6 Employees

About the Company

Welcome to Omnis Partners.

We are a digital technology recruitment business, focussed on Data, Product and AI talent solutions.

Our mission is to support the growth and development of businesses, whose products and solutions are shaping the future of technology, commerce and industry.

We are a collective of passionate and highly experienced recruiters, working collaboratively, to ensure our clients have access to the talent and resources to meet their strategic aims.

Listed Jobs

Company background Company brand
Company Name
Omnis Partners
Job Title
Senior Product Manager
Job Description
Job title: Senior Product Manager – AI Role Summary: Lead end‑to‑end delivery of AI‑driven product initiatives for a major financial services client. Drive product vision, roadmap, and prioritisation while managing a cross‑functional team to ensure timely, high‑quality outcomes. Expectations: * Deliver AI products that meet client business goals and stakeholder expectations. * Maintain clear communication with senior stakeholders and function as the primary client contact. * Ensure efficient resource allocation and effective multidisciplinary team collaboration. Key Responsibilities: * Conduct client‑facing activities: user sessions, prototyping workshops, steering committee meetings, and stakeholder reviews. * Define and refine product vision, roadmaps, and priorities aligned with client needs. * Oversee day‑to‑day execution of AI product development, ensuring deliverables are on scope, time, and quality. * Allocate tasks across data scientists, ML engineers, designers, and delivery managers. * Provide product direction and context regarding AI capabilities and limitations. Required Skills: * Extensive product management experience, preferably in professional services or consulting. * Proven track record of leading multidisciplinary teams delivering digital or data‑driven products. * Strong knowledge of AI or data products, including technical feasibility and commercial viability. * Excellent stakeholder management, communication, and decision‑making skills. * Superior organisational and planning abilities to manage multiple workstreams simultaneously. Required Education & Certifications: * Bachelor’s degree in Computer Science, Engineering, Business, or related field. * Product management certifications (e.g., Pragmatic Marketing, Certified Scrum Product Owner) are a plus. ---
London, United kingdom
Hybrid
Senior
25-11-2025
Company background Company brand
Company Name
Omnis Partners
Job Title
Senior Machine Learning Engineer
Job Description
Job title: Senior Machine Learning Engineer Role Summary: Own the end‑to‑end MLOps pipeline for an AI underwriting copilot, integrating data science experiments with secure, scalable cloud deployments. Act at the intersection of ML, DevOps, and Azure Cloud to enable rapid, reliable model delivery. Expactations: Deliver a production‑ready machine‑learning platform that supports experimentation, versioned releases, and continuous delivery, ensuring model governance, security, and performance at scale. Key Responsibilities: - Lead task planning, workload allocation and delivery coordination for the ML production lifecycle. - Own CI/CD and multi‑environment release workflows using Azure Pipelines. - Develop and maintain IaC for Azure resources with Terraform. - Manage Azure deployments (networking, identity, security, environment). - Support Databricks & MLflow for model tracking and data processing. - Provide scalable environments for data scientists. - Engineer Python‑based automation, tooling, and data pipelines. - Support agentic AI / LLM systems (LangChain / LangGraph) including orchestration, logging, and monitoring. Required Skills: - Extensive experience as a Senior ML Engineer / MLOps Engineer / ML Platform Engineer. - Proven commercial MLOps proficiency with MLflow and Databricks. - Deep Terraform expertise on Azure infrastructure. - Hands‑on Azure DevOps, CI/CD, and multi‑environment deployment. - Strong Python programming and automation skills. - Experience with agentic AI/LLM pipelines. - Ability to collaborate with data scientists in fast‑moving product teams. - Clear technical communication and delivery leadership. Required Education & Certifications: - Bachelor’s or Master’s degree in Computer Science, Data Science, or related field. - Relevant Azure certifications (e.g., Azure Data Engineer, Azure ML Engineer) preferred.
London, United kingdom
Hybrid
Senior
27-11-2025
Company background Company brand
Company Name
Omnis Partners
Job Title
Artificial Intelligence Engineer
Job Description
**Job Title** Artificial Intelligence Engineer **Role Summary** Design, develop, and deploy end‑to‑end agentic AI systems for complex, high‑stakes enterprise workflows. Own core AI infrastructure, build RAG pipelines, evaluate model performance, and deliver production‑ready features through robust backend services. **Expectations** - Work full time, 12‑hour days, no flexible schedule. - Direct collaboration with senior leadership, no formal approval layers. - Rapid learning, iteration, and ownership cycles; frequent adjustment of priorities. - Mentor junior engineers and elevate team technical standards. **Key Responsibilities** - Architect and implement multi‑agent systems and RAG pipelines in production. - Create evaluation frameworks for accuracy, reliability, and safety of LLMs and agents. - Develop backend services and APIs (Python, Django/FastAPI). - Build and maintain scalable, secure infrastructure on cloud platforms, including CI/CD pipelines. - Construct data pipelines for model training, fine‑tuning, and continuous improvement. - Collaborate cross‑functionally with product, design, and growth teams. **Required Skills** - Proficiency in Python and experience building robust backend services. - Hands‑on experience deploying production AI systems end‑to‑end. - Strong knowledge of relational databases, Redis, task queues, and background workers. - Familiarity with Docker, Kubernetes, and modern cloud infrastructure. - Experience with Retrieval‑Augmented Generation (RAG), agent orchestration, and LLM evaluation techniques. - Ability to handle ambiguity and rapidly shifting priorities. **Required Education & Certifications** - Bachelor’s or higher degree in Computer Science, Engineering, or related field, or equivalent practical experience. ---
London, United kingdom
On site
10-01-2026
Company background Company brand
Company Name
Omnis Partners
Job Title
Senior Infrastructure Engineer
Job Description
Job Title: Senior Infrastructure Engineer Role Summary: Design, build, and operate scalable cloud infrastructure for a high‑growth product‑led technology firm. Own end‑to‑end responsibility for architecture, CI/CD, observability, security, and compliance, ensuring systems remain highly available, cost‑efficient, and audit‑ready while supporting rapid engineering velocity. Expectations: - Operate in a high‑output, no‑token environment with long days and fast decision cycles. - Collaborate directly with founders and senior leadership. - Balance short‑term delivery against long‑term reliability and security. - Accept frequent shifts in priorities and urgent operational challenges. Key Responsibilities: - Architect and deploy cloud environments (Azure, AWS) using IaC (Terraform). - Lead and maintain CI/CD pipelines across backend, frontend, and data services. - Implement logging, metrics, tracing, alerting, and on‑call frameworks for observability. - Optimize cloud spend while preserving performance and resilience. - Prepare and maintain systems for SOC 2, ISO 27001, and other compliance audits. - Champion operational excellence and reliability best practices across the team. - Troubleshoot and resolve production incidents, conducting post‑mortems. - Mentor junior engineers and drive continuous improvement of infrastructure processes. Required Skills: - 4–7 years in infrastructure, DevOps, or platform engineering. - Deep experience with Azure (AWS a strong plus). - Proficient in Terraform, Docker, Kubernetes (AKS). - Hands‑on CI/CD with GitHub Actions or equivalent. - Strong observability: logging, metrics, tracing, alerting. - Expertise in secrets management, security scanning, and best practices. - Network design: VPCs, private networking, DNS, load balancers, VPN, firewalls. - Datastore knowledge: PostgreSQL, MySQL, NoSQL, blob storage. - Automation with Python or Bash scripting. - Proven track record of reliability, cost optimization, and audit preparation in startup or scale‑up settings. - Exposure to SOC 2, ISO 27001, or GDPR processes. Required Education & Certifications: - Bachelor’s degree in Computer Science, Engineering or related field (or equivalent professional experience). - Relevant certifications preferred: AWS Certified Solutions Architect, Azure Solutions Architect, Certified Kubernetes Administrator, Terraform Associate.
London, United kingdom
On site
Senior
11-01-2026