Omnis Partners

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 Name

Omnis Partners

Job Title

AI Architect

Job Description

**Job Title:** AI Architect **Role Summary:** Lead design and delivery of scalable, secure, ethical AI architectures in a consultancy, focusing on agentic AI systems and integrated enterprise solutions. Mentors junior staff, supports pre-sales, and collaborates with tech vendors. **Expectations:** Proven production experience with agentic AI systems; expertise in AI/ML techniques (e.g., reinforcement learning, LLM agents). Proficiency in Python and Infrastructure as Code (cloud environments). Familiarity with AI orchestration platforms (LangChain, AutoGen, CrewAI). Pre-sales support in consultancy/product roles; systems-thinking for complex AI-integrated solutions. **Key Responsibilities:** Design and deploy enterprise AI architectures; mentor junior team members; provide technical pre-sales support; collaborate with tech vendors; ensure security and ethical compliance in AI systems. **Required Skills:** Python programming, cloud Infrastructure as Code, AI/ML (reinforcement learning, LLM agents), AI orchestration tools, pre-sales technical support, enterprise systems architecture. **Required Education & Certifications:** None specified.

London, United kingdom

On site

13-10-2025

Company Name

Omnis Partners

Job Title

Senior Data Scientist

Job Description

**Job Title:** Senior Data Scientist (Contract) **Role Summary:** Lead and deliver high‑impact machine learning proof‑of‑concept and beta projects for a public sector client. Provide technical direction, hands‑on model development, and mentorship to junior data scientists while collaborating with data engineers and engaging with client stakeholders. **Expectations:** - Serve as technical lead and mentor for a small data science team. - Translate complex analytical insights into actionable business outcomes for the client. - Define and steer the machine learning strategy for assigned engagements. - Maintain active involvement in model design, training, and validation. **Key Responsibilities:** - Lead design, development, and validation of ML models and algorithms. - Partner with client stakeholders to understand requirements and communicate results. - Guide and mentor junior data scientists, fostering best practices. - Collaborate closely with data engineers (MLOps handled by engineering). - Contribute to the broader AI/ML strategy within the engagement. **Required Skills:** - 6+ years of professional data science experience. - Strong Python proficiency; experience with pandas, NumPy, scikit‑learn, and PyTorch or TensorFlow. - Broad, practical knowledge of machine learning and AI methodologies. - Proven track record delivering proof‑of‑concept projects. - Demonstrated technical leadership and mentoring abilities. - Excellent communication and stakeholder management skills. - Experience in technical consulting, preferably with public sector exposure. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field (Master’s preferred). - No specific certifications required; relevant certifications (e.g., AWS ML, TensorFlow Developer) are a plus.

London, United kingdom

Hybrid

Senior

11-11-2025

Company Name

Omnis Partners

Job Title

Machine Learning Engineer

Job Description

Job Title: Machine Learning Engineer Role Summary: Provide end‑to‑end development and deployment of an AI workspace for a global education organisation, extending internal tooling and integrating intelligent document management across multiple regions in a hybrid, agile environment. Expactations: 1‑month contract with renewal potential; 1‑2 days per week onsite; freelance, outside IR35; rate commensurate with experience. Key Responsibilities: • Design and build workspace features: file storage, metadata & system prompt handling, UI sidebar integration. • Implement or integrate SharePoint/cloud file environments with permissioned repositories for business units, pre‑defined library roll‑out, and basic access controls. • Perform validation, testing, and knowledge transfer to end users. Required Skills: • Proficient Python programming for ML deployment and MLOps tooling. • Experience with SharePoint and Azure or comparable cloud storage and directory architectures. • Prior work building document or knowledge management systems. • Ability to own projects from design through delivery and to work autonomously within an agile team. Required Education & Certifications: Bachelor’s degree in Computer Science, Software Engineering, or related field, or equivalent professional experience in machine learning or cloud‑based document systems.

London, United kingdom

Hybrid

13-11-2025

Company Name

Omnis Partners

Job Title

Computer Vision Engineer

Job Description

Job Title: Computer Vision Engineer Role Summary: Lead technical delivery of end‑to‑end video‑based computer vision solutions for wearable‑camera data capture in a global retail analytics program. Act as the subject‑matter expert, guide a data science team, and own the design, optimization, and production rollout of CV components. Expectations: Demonstrated senior‑level expertise in traditional CV and modern vision‑foundation models; ability to operate autonomously in fast‑paced, high‑pressure environments; strong leadership in technical direction; comprehensive understanding of retail store dynamics and wearable‑camera constraints. Key Responsibilities: - Define and drive the technical vision for all CV components. - Design, develop, and tune video‑based CV models integrating traditional techniques and vision‑language or foundation models. - Build and maintain end‑to‑end video processing pipelines for wearable‑camera streams. - Implement object detection, tracking, spatial AI, and scene interpretation tailored to retail settings. - Validate and iterate on model performance, accuracy, and robustness in complex in‑store environments. - Collaborate with engineering teams to ensure seamless integration of CV modules into the broader analytics platform. - Mentor and guide data science team members on CV best practices and solution delivery. Required Skills: - Proven track record delivering multiple end‑to‑end CV projects. - Deep expertise in classical computer vision (image‑processing, feature extraction, geometry). - Extensive experience with video‑based computer vision and multi‑frame analysis. - Competence in spatial AI/scene understanding and familiarity with retail‑specific challenges. - Proficiency in Python and major CV/ML frameworks (OpenCV, PyTorch, TensorFlow). - Ability to design scalable, production‑ready pipelines. - Strong communication and leadership in cross‑functional teams. - Experience with Vision‑Language Models (VLMs) is advantageous but not required. Required Education & Certifications: - Bachelor’s degree in Computer Science, Electrical Engineering, Computer Vision, or related field (Master’s preferred). - No mandatory certifications, though knowledge of industry best practices and reproducible research techniques is expected.

London, United kingdom

Hybrid

19-11-2025