AI Engineer

Paymentgenes
Charing Cross, United Kingdom
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
£ 130K

Job location

Remote
Charing Cross, United Kingdom

Tech stack

Query Performance
Artificial Intelligence
Airflow
Azure
Data Validation
Information Engineering
Data Integrity
Monitoring of Systems
Python
Machine Learning
Software Engineering
SQL Databases
Primus
Enterprise Software Applications
Snowflake
Information Technology
Data Lineage
Infoplus
Machine Learning Operations
Data Pipelines

Job description

outcomes, we encourage you to apply for this exciting role. Join us to lead AI on Snowflake to the next level!Join Unit4 and be part of one of the most exciting journeys in the cloud ERP software space. We're a fast-paced, high-growth, people-centric company, delivering enterprise software for a great people experience,and offering our own people a host of benefits and development opportunities. Grow with us.At Unit4, we offer:a culture built on trust - giving you the freedom and autonomy to be successful,balance - with our uncapped time off policy, remote working opportunities and Global Wellbeing Dayswhen the whole company can switch off and prioritize well-being,talented colleagues, role models and mentors - work, learn and be inspired by some of the best talentin the software industry,a commitment to sustainability - with initiatives such as our Act4Good program, a way for everyone atUnit4 to come together and engage in actions that benefit society and the planet,a safe and inclusive working environment - supported by our Employee Resource Groups, which areopen to all and include Women at Unit4, Pride at Unit4, Mental Health and Access at Unit4, andPeople of Color at Unit4Our commitment to equityUnit4 is committed to ensuring equal opportunity for everyone. We make our hiring decisions solely based on skills, qualifications, and our current business needs. We know that diversity brings fresh perspectives, ideas, and solutions to our company. This is the essence of our culture. We also welcome and encourage people who are pregnant and/or parents-to-be to apply. If you would like to know more about our commitment to diversity, visit our blogs:This role may require security clearance required for customer projects and access to sensitive (customer) data. That means that after you have accepted our offer, we could ask for background checks. Subject to applicable local laws, such security checks may require disclosure of personal information including criminal record declaration, right to work, personal identification and work history. No worries - we'll handle it according to local privacy laws and keep your information safe. Questions? Feel free to reach out!, Im reaching out regarding an urgent contract opportunity for a Senior Snowflake (SVOW) Designer based in London (3 days/week onsite). Contract Details: - Duration: 46 months (extendable) - Start: Immediate joiners preferred - Location: London (3 days/week) Key Skills..., Im reaching out regarding an urgent contract opportunity for a Senior Snowflake (SVOW) Designer based in London (3 days/week onsite) . Contract Details: Duration: 46 months (extendable) Start: Immediate joiners preferred Location: London (3 days/week) Key Skills Required:...

Requirements

goes beyond tasks and everyday responsibilities it's about feeling valued, empowered, promoted, impactful, seen, and appreciated.We are reimagining how work makes people feel.Job Description We are looking for a highly motivated Senior AI Engineer to join our team. Ideal candidate will have expertise in managing AI and machine learning models on Snowflake . In this standalone role, you will take ownership of the operational lifecycle of AI/ML models deployed within Snowflake, ensuring their reliability, scalability, and performance. You will bridge the gap between development and production, applying advanced MLOps practices tailored to Snowflake's data ecosystem to deliver seamless AI-powered insights to the business.You will act as the primary point of accountability for AI operations, bridging the gap between development and production environments. Your work will directly impact the efficiency and effectiveness of AI solutions, empowering business teams to make data-driven decisions with confidence.Key Responsibilities1. Model Deployment and ManagementBuild and maintain deployment pipelines for AI/ML models and ensure seamless transition from development to production.Collaborate with data scientists and engineers to ensure models are properly versioned, tested, and deployed.Implement monitoring tools to track performance metrics like accuracy, latency, and resource utilization.2. System Monitoring and Incident ManagementMonitor AI systems in real time to detect anomalies, failures, or performance degradation.Respond to incidents to minimize downtime and business impact.Develop and maintain dashboards for key AI system performance metrics.3. Performance OptimizationAnalyze and improve model inference times and operational efficiency.Identify bottlenecks in data pipelines and recommend solutions to optimize throughput.Proactively manage cloud resources to balance cost and performance.4. Data ManagementCollaborate with data engineering teams to ensure the availability of high-quality data for AI systems.Implement processes for automated data validation, anomaly detection, and error correction.Manage data lineage and compliance requirements for AI-related workflows.Apply best practices to enhance AI model lifecycle management.Stay updated on emerging technologies and tools for AI operations.Provide feedback to improve model training, testing, and deployment workflows.Qualifications Must-Have SkillsSnowflake Expertise: Hands-on experience with Snowflake, including Snowpark, virtual warehouses, and query performance optimization.Proficiency in Snowflake-native ML and integration with external AI tools.

AI/ML Knowledge: Strong foundation in AI/ML principles, with practical experience in deploying and monitoring models in production.Experience working with Python and SQL, especially in Snowflake environments.

Operational Skills: Familiarity with CI/CD pipelines tailored for AI/ML workflows.Knowledge of data validation and monitoring tools for maintaining data integrity.

Soft Skills: Self-starter with the ability to work independently and manage end-to-end responsibilities.Strong analytical and problem-solving skills.Clear communicator who can collaborate across teams., Nice-to-Have SkillsExperience with cloud platforms (Azure) and their integration with Snowflake.Certifications in Snowflake, AI/ML, or cloud platforms.Familiarity with additional tools like dbt, MLFlow, or Airflow for enhanced Snowflake workflows.Experience RequirementsBachelor's or Master's degree in Computer Science, Data Science, or a related field.3+ years of experience in managing AI/ML models, with at least 1 year of specific experience on Snowflake.Proven ability to manage production-grade AI models within a Snowflake environment.Additional Information Why Join Us?Take ownership of Snowflake-centric AI operations, a critical and growing function in the organization.Collaborate on cutting-edge AI/ML projects powered by Snowflake's industry-leading data cloud.Competitive salary and benefits, with opportunities for continuous learning and professional growth.If you're passionate about operationalizing AI models on Snowflake and driving impactful business

Benefits & conditions

Job Description Senior AI Engineer London - 1-2x week in office Salary: £80,000 - £90,000 This is an exciting opportunity to join a business that is investing heavily in AI and modern cloud technologies. You will play a key role in building AI-driven products that have..., Job Description Senior System Engineer (AI/ML) | Permanent position - Location: Central London - Onsite: 5 days a week (South Kensington / Waterloo) - Salary: Up to £82,500 + Excellent Benefits - Available position: 2 positions Our client, an IT consulting and services..., Senior System Engineer (AI/ML) | Permanent position - Location: Central London - Onsite: 5 days a week (South Kensington / Waterloo) - Salary: Up to £82,500 + Excellent Benefits - Available position: 2 positions Our client, an IT consulting and services provider, is...

About the company

Meet Unit4. With over 40 years of heritage, we're an agile, fast growing, Cloud company that is on a mission to redefine Enterprise Resource Planning (ERP) for mid-market people-centric organisations.With our innovative, self-driving, adaptive and intuitive software, our customers can spend more time on meaningful high-value work.At the heart of what we do lies a simple yet profound purpose: Improve how people work by focusing on what truly matters.- A powerful statement that enables different priorities fordifferent people.We're shaping how work should feel, and we empower our people by providing them with the right tools to achieve the autonomy they need - it's what makes us unique.Who we are We are a people-first community that nurtures all the areas that surround your working experience. With us, you'll be surrounded by a high-performance team that supports your authentic self and celebrates your uniqueness. We believe that 'How work should feel' is an evolving statement. Work

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