Senior AI Engineer Job at BIP (London)

Senior AI Engineer

BIP

Location:
United Kingdom , London

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

Save Job

Apply Position

Job Description:

As a Senior AI Engineer, you will design, build, and run production-grade AI solutions, working end-to-end from use case definition through to deployment, monitoring, and continuous improvement. You will combine strong engineering discipline with applied machine learning expertise, ensuring solutions are robust, scalable, and aligned with Responsible AI principles. You will also lead delivery across AI workstreams, mentor engineers, and support business development activities.

Job Responsibility:

Design, develop, and deploy production-grade AI and ML solutions, including GenAI and LLM-enabled systems
Shape AI solution architectures, selecting appropriate patterns (e.g. batch vs streaming, RAG, feature stores, model serving)
Lead AI/ML workstreams end-to-end, including planning, delivery governance, and stakeholder management
Mentor and support AI engineers, data scientists, and software engineers, fostering high engineering standards and collaboration
Implement secure, scalable deployment patterns aligned with governance, compliance, and Responsible AI expectations
Embed monitoring, evaluation, and continuous improvement across AI solutions
Collaborate closely with Data Engineers, Cloud/Data Architects, and Software Engineers to deliver coherent platforms
Contribute to pre-sales, discovery, and proposal development by shaping solution options and delivery approaches
Build strong relationships with clients and partners, acting as a trusted technical advisor

Requirements:

3+ years’ experience delivering AI and ML solutions in production environments
Demonstrated experience delivering GenAI and LLM-based solutions from prototype through to production
Strong Python engineering skills, with a focus on quality, testing, and maintainability
Solid foundations in machine learning concepts, evaluation techniques, and statistical fundamentals
Experience working with Databricks and one or more major cloud platforms (Azure, AWS, or GCP)
Strong understanding of security-by-design, including access control, secrets management, and secure networking
Ability to align AI solutions with governance, compliance, and Responsible AI requirements
Proven experience leading delivery and coordinating multidisciplinary engineering teams

Nice to have:

Practical experience implementing MLOps and LLMOps practices (CI/CD, automated testing, model lineage, reproducibility)
Experience with infrastructure automation and platform engineering (e.g. Terraform, Docker, Kubernetes)
Experience creating reusable engineering assets and accelerators
Experience working in regulated environments
Relevant certifications (e.g. Azure AI Engineer, Azure Data Scientist, AWS Machine Learning – Specialty)
Eligibility for, or existing, UK Security Clearance (BPSS/SC/DV)

What we offer:

Hybrid working
Opportunity to work at the forefront of applied AI delivery within a growing Centre of Excellence
A culture that encourages innovation, collaboration, and ownership

Additional Information:

Job Posted:
February 14, 2026

Employment Type:

Fulltime

Work Type:

Hybrid work

BIP - All Job Offers

Job Link Share: