cover image
Lumora Solutions

Lumora Solutions

www.lumorasolutions.co.uk

2 Jobs

3 Employees

About the Company

Our Mission is Simple: To make recruitment as straightforward as possible. We connect the brightest minds in Data & Analytics, AI and Machine Learning to support the companies shaping the future of technology. Built on integrity, strong relationships, and a passion for excellence, building lasting partnerships with our clients and candidates is at the heart of everything we do. Founded by three partners with a collective 25 years’ experience in specialist headhunting, we understand both the technology and the people behind it, helping businesses grow and individuals take the next step in their careers. We provide a full range of solutions, from permanent hires and contract staffing through to Statement of Work (SoW) delivery. With reach across global markets, we support FTSE‑100 firms, global systems integrators, and fast‑growth scale‑ups driving digital transformation. We support end to end project lifecycle, from Engineering, through Architecture & C-Suite hires. Our Areas of Expertise: - Data Analytics - Power BI, Tableau, Qlik - Data Science - Tensorflow, PyTorch - Data Engineering & Architecture - Databricks, Snowflake, BigQuery - Machine Learning - MLflow, Hugging Face, scikit-learn, ML Ops - Artificial Intelligence - LLM, NLP - Master Data Management - Informatica, Collibra contact@lumorasolutions.co.uk 0203 983 7804

Listed Jobs

Company background Company brand
Company Name
Lumora Solutions
Job Title
Artificial Intelligence Consultant
Job Description
**Job Title**: Artificial Intelligence Consultant **Role Summary**: Lead the enhancement, enablement, and optimisation of a modern data platform (Snowflake, Fivetran, DataOps) while designing and deploying AI products, including LLM applications, agents, and copilots, across cloud environments (AWS, GCP, Azure). Serve as both strategic partner and hands‑on technical delivery lead. **Expectations**: - Deliver scalable, high‑quality data and AI solutions that meet security, compliance, and operational excellence standards. - Influence platform direction and best practices. - Collaborate closely with clients, stakeholders, and cross‑functional teams to scope, design, and implement solutions. **Key Responsibilities** - Design, build, and deploy AI tools (LLM apps, agents, copilots) using Python and AI APIs. - Operate within cloud environments (AWS, GCP, Azure) and leverage AI coding tools (Cursor, Claude Code, etc.). - Manage end‑to‑end ETL, data warehousing, ML pipelines, and automation workflows. - Optimize Snowflake, Fivetran, and DataOps tooling for performance and governance. - Ensure adherence to security, compliance, and data governance policies. - Lead technical sessions with clients to scope, design, and deliver AI solutions. **Required Skills** - Strong engineering background, ideally from startups, consulting, or AI tooling. - Hands‑on experience deploying AI products (LLM apps, agents, copilots). - Proficiency in Python; familiarity with AI coding tools, LLM APIs, and cloud platforms (AWS, GCP, Azure). - Knowledge of data platforms: Snowflake, Fivetran, DataOps tools. - Expertise in ETL, data warehousing, machine learning, automation, data governance, security, and compliance. - Excellent stakeholder communication, problem‑solving, and proactive mindset. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Engineering, Data Science, or related field (or equivalent experience). - Relevant cloud or data platform certifications (e.g., AWS/Azure/GCP, Snowflake) are a plus.
London, United kingdom
Hybrid
17-12-2025
Company background Company brand
Company Name
Lumora Solutions
Job Title
Artificial Intelligence Engineer
Job Description
**Job Title** Artificial Intelligence Engineer **Role Summary** Design, develop, and deploy high‑performance AI and ML solutions at scale, transforming large datasets into production‑ready models and inference pipelines to support enterprise decision‑making. Own end‑to‑end data, ML, and MLOps workflows while mentoring junior engineers and partnering with senior stakeholders. **Expectations** - Canadian citizen (required) - Proven track record of translating research concepts into robust, production‑grade AI systems - Strong technical leadership with a focus on scalable, maintainable architecture **Key Responsibilities** - Build, tune, and monitor full data/ML pipelines from ingestion to real‑time inference - Optimize distributed Spark/Databricks workloads for performance and cost efficiency - Implement MLOps practices and GenAI tooling (LLMs, RAG, agentic pipelines) across the stack - Mentor and lead junior engineers, fostering best practices in coding, testing, and deployment - Collaborate with product and business teams to align AI solutions with organizational goals **Required Skills** - C+ in Python, SQL, and PySpark for large‑scale data processing - Deep understanding of algorithms, data structures, distributed computing, and model training - Experience with ML toolkits (TensorFlow/PyTorch) and production‑grade serving (Docker, Kubernetes, Terraform) - Proficiency in cloud‑native AI infrastructure (Databricks, Snowflake) - Practical knowledge of Generative AI: LLMs, advanced prompting, RAG, evaluation frameworks **Required Education & Certifications** - Advanced degree (PhD preferred) in Computer Science, Machine Learning, AI, or related field ---
Halifax, Canada
Hybrid
20-01-2026