Job Description
Company Description
Version 1 has celebrated 30 years in Technology Services and continues to be trusted by global brands to deliver solutions that drive customer success. Version 1 has several strategic technology partners including Microsoft, AWS, Oracle, Red Hat, OutSystems and Snowflake. We’re also an award-winning employer reflecting how employees are at the heart of Version 1.
We’ve been awarded: Innovation Partner of the Year Winner 2023 Oracle EMEA Partner Awards, Global Microsoft Modernising Applications Partner of the Year Award 2023, AWS Collaboration Partner of the Year - EMEA 2023 and Best Workplaces for Women by Great Place To Work in UK and Ireland 2023.
As a consultancy and service provider, Version 1 is a digital-first environment and we do things differently. We’re focused on our core values; using these we’ve seen significant growth across our practices and our Digital, Data and Cloud team is preparing for the next phase of expansion. This creates new opportunities for driven and skilled individuals to join one of the fastest-growing consultancies globally.
Job Description
- Deliver end-to-end AI solutions by designing, training, and deploying Machine Learning models and AI systems
- Collaborate with cross-functional teams including backend/frontend engineers, product managers and contribute to architectural decisions.
- Preprocess and analyse large datasets from structured and unstructured sources.
- Develop data pipelines and model training infrastructure.
- Optimize model performance and scalability in production environments.
- Implement CI/CD workflows for model versioning and deployment.
- Assess and apply adoption of low-/no-code platforms like Copilot Studio to accelerate AI solution delivery and integrate with existing ML systems.
- Understand cloud-native architecture concepts and have knowledge of best practices for high availability, scalability, resilience, performance, and security requirements in the cloud.
- Stay current with industry trends and academic research to integrate state-of-the-art techniques.
- Ensure compliance with data security, data privacy regulations and ethical AI practices.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or related fields
- 2–5+ years of experience in AI/ML engineering or applied machine learning.
- Proficiency in Python, with knowledge of ML libraries
- Experience with deep learning frameworks (e.g. TensorFlow)
- Strong knowledge of data structures, algorithms, and software engineering principles.
- Experience with cloud platforms (Azure, AWS) and ML ops tools (e.g. Azure Machine Learning, MLflow)
- Familiarity with containerization and orchestration (Docker, Kubernetes)
- Proficiency in RESTful API development and strong understanding of SQL and relational database design.
- Demonstrated problem-solving ability, with a proactive mindset and eagerness to continuously learn new technologies
- Knowledge of regulatory and security considerations when delivering AI-enabled digital services
- Effective communication skills, able to explain technical concepts to non-technical stakeholders.
- Collaborative mindset and willingness to mentor or guide team members
Desirable Experience & Skills
- Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
- Experience in end-to-end AI solution lifecycle: problem definition, data collection, model development, deployment, and monitoring.
- Work on scalable AI/ML projects across company functions and technical domains such as NLP, computer vision, predictive analytics, or recommendation systems.
- Contributions to open-source AI projects or research publications.
- Experienced in AI/ML strategy, technology selection, and model governance standards.
- Experienced in Agile development cycles and DevOps practices
Additional Information
Why Version 1?
At Version 1, we believe in providing our employees with a comprehensive benefits package that prioritises their wellbeing, professional growth, and financial stability.
- Share in our success with our Quarterly Performance-Related Profit Share Scheme, where employees collectively benefit from a share of our company’s profits.
- Strong Career Progression & mentorship coaching through our Strength in Balance & Leadership schemes with a dedicated quarterly Pathways Career Development programme.
- Flexible/remote working, Version 1 is tremendously understanding of life events and people’s individual circumstances and offer flexibility to help achieve a healthy work life balance.
- Financial Wellbeing initiatives including; Pension, Private Healthcare Cover, Life Assurance, Financial advice and an Employee Discount scheme.
- Employee Wellbeing schemes including Gym Discounts, Bike to Work, Fitness classes, Mindfulness Workshops, Employee Assistance Programme and much more. Generous holiday allowance, enhanced maternity/paternity leave, marriage/civil partnership leave and special leave policies.
- Educational assistance, incentivised certifications, and accreditations, including AWS, Microsoft, Oracle, and Red Hat.
- Reward schemes including Version 1’s Annual Excellence Awards & ‘Call-Out’ platform.
- Environment, Social and Community First initiatives allow you to get involved in local fundraising and development opportunities as part of fostering our diversity, inclusion and belonging schemes.
And many more exciting benefits… drop us a note to find out more.
