Senior AI Engineer

We are seeking an experienced Senior AI Engineer to design develop and deliver AI-enabled solutions for large-scale organisations.

The role involves developing proof-of-concept and production AI applications working across backend services machine learning infrastructure large language models multi-agent systems and modern web technologies. You will collaborate with multidisciplinary teams to deliver AI solutions that meet business and customer requirements.

Key Responsibilities

• Develop and maintain back-end AI-powered applications and services.
• Build and integrate LLMs and multi-agent systems using frameworks such as Semantic Kernel LangChain or similar technologies.
• Design and implement front-end interfaces for AI applications using modern frameworks including React and Angular.
• Integrate front-end components with AI APIs and backend services using REST and GraphQL.
• Collaborate with data engineers UX designers product managers and QA teams to deliver AI solutions.
• Apply MLOps practices for model deployment monitoring and lifecycle management.
• Develop intuitive accessible and standards-compliant user interfaces for AI applications.
• Support team members through mentoring and knowledge sharing.
• Maintain documentation covering AI models limitations assumptions and implementation decisions.
• Ensure development activities align with GDPR EU AI Act requirements and Responsible AI principles.

Qualifications :

Essential Experience

• Bachelors or Masters degree in Computer Science Data Science Artificial Intelligence or a related discipline.
• Experience in AI/ML engineering or applied machine learning.

Desirable Experience

• Experience working with Azure AWS and GCP environments.
• Experience delivering solutions across the full AI lifecycle including problem definition data preparation model development deployment and monitoring.
• Experience delivering AI/ML solutions across domains such as natural language processing predictive analytics recommendation systems or computer vision.
• Contributions to open-source projects or research publications.
• Experience contributing to AI governance model management and technology selection activities.
• Experience working within Agile delivery environments and DevOps practices.
•  
• Proficiency in Python and machine learning libraries.
• Experience with deep learning frameworks such as TensorFlow or PyTorch.
• Knowledge of data structures algorithms and software engineering principles.
• Experience with cloud platforms such as Azure or AWS.
• Experience with ML Ops tools such as Azure Machine Learning or MLflow.
• Familiarity with Docker Kubernetes and containerised deployments.
• Experience developing REST APIs.
• Understanding of SQL and relational database design.
• Problem-solving capability and willingness to learn new technologies.
• Knowledge of security compliance and regulatory considerations relevant to AI-enabled services.
• Ability to explain technical concepts to technical and non-technical audiences.
• Experience working collaboratively within delivery teams.

Additional Information :

At Version 1 we believe in providing our employees with a comprehensive benefits package that prioritises their wellbeing professional growth and financial stability. 

• Salary Range:
• Share in our success with our Quarterly Performance-Related Profit Share Scheme where employees collectively benefit from a share of our companys 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 peoples individual circumstances and offer flexibility to help achieve a healthy work life balance 
• Financial Wellbeing initiatives including; Version 1 Pension with a 5% employee-matched contribution 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.  
• 24 days holiday allowance plus Public Holidays 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 1s Annual Excellence Awards & quarterly Star Awards. 
• 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. 

Version 1 is an equal opportunities employer 

We are committed to building a diverse inclusive and respectful workplace where everyone feels valued and able to thrive. We welcome applications from people of all backgrounds identities and lived experiences and we value the different perspectives people bring including those shaped by disability and neurodiversity. 

We want every candidate to have a positive and accessible recruitment experience. If you need reasonable adjustments at any stage of the process please contact the recruiter at . We will consider all requests carefully respectfully and confidentially.

#LI-KG1 #LI-Hybrid

Remote Work :

No

Employment Type :

Full-time