Salary: £42,000 - 82,000 per year
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.
- 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).
Responsibilities: - 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.
Technologies: - AI
- AWS
- Azure
- Big Data
- CI/CD
- Cloud
- Databricks
- Docker
- GCP
- Support
- Kubernetes
- LLM
- Machine Learning
- MLOps
- Model Serving
- Python
- RAG
- Security
- Terraform
More:
BIP is an international consultancy working with leading organisations to deliver transformation, create long-lasting value and shape the future with confidence. BIP xTech is our Centre of Excellence for Artificial Intelligence, Big Data, and Modern Data Platforms, helping organisations design, build, and scale AI solutions that are secure, responsible, and production-ready. We offer hybrid working with regular time in our office and at client sites as required, the opportunity to work at the forefront of applied AI delivery within a growing Centre of Excellence, and a culture that encourages innovation, collaboration, and ownership. This is a full-time role.
last updated 36 week of 2026