At a Glance
- Tasks: Lead AI projects, develop machine learning solutions, and inspire teams to deliver impactful results.
- Company: Join Baringa Partners, a forward-thinking consultancy with a people-first culture.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Collaborative environment that values technical expertise and human connection.
- Why this job: Be at the forefront of AI innovation and make a real difference in major industries.
- Qualifications: 7+ years in tech consulting or AI/ML, with strong leadership and delivery skills.
The predicted salary is between 60000 - 80000 £ per year.
Job Description hackajob is collaborating with Baringa Partners to connect them with exceptional professionals for this role.
Check below to see if you have what is needed for this opportunity, and if so, make an application asap.
Our Solutions deep knowledge of RAG, MCP servers and prompt engineering at scale.
Strong opinions on secure, resilient enterprise deployment of LLM-powered systems; current knowledgeof the latest model capabilities and AI product stacks.
- Machine
- Learning
Engineering: End-to-end ML lifecycle expertise: feature engineering, model training, evaluation and production deployment, including MLOps, monitoring and drift detection.
Practical knowledge of ML frameworks (e.
G. scikit-learn, Py Torch, XGBoost) and cloud-native ML services (Sage Maker, Azure ML, Vertex AI).
Platform experienced with containerisation, Ia C, event-driven architectures and CI/CD.
Track record of delivering production Python services and APIs; working knowledgeof cloud-native application patterns and release practices.
Software
Engineering: Production-grade Python services (Fast API, AWS Lambda, event-driven patterns) and front-end development with React/Next.
Js, Material UI and SWR.
Cloud architecture design capability across major providers; rounded understanding of database trade-offs – relational, No SQL, graph and caching strategies.
Strong engineering practices: CI/CD, testing (Jest, Cypress, React Test Library), release management and security-conscious development.
A genuine passion for AI solutions and specifically for the complexity of delivering them to production at scale.
You should be as energised by the hard problems of operationalisation, reliability and governance as by the technology itself.
Your Skills and Experience We're seeking a technically credible, commercially aware leader who brings a rare combination of delivery accountability, client advisory skill, and deep AI/technology specialism.
You will be someone energised by the complexity of taking AI solutions to production at scale – and who can inspire a team and a client with that same passion. 7+ years in technology consulting, software engineering or AI/ML, with at least 3 years in a senior leadership role – including direct accountability for end-to-end engagement delivery, resourcing and commercial outcomes.
Experience supporting or leading bid and proposal activity, including writing technical and delivery sections of responses to client tenders and RFPs.
SME-level depth in at least one of: Agentic AI/LLM Engineering, Machine Learning Engineering, Platform exposure to regulated industries such as energy, financial services or public sector.
If you are excited by the opportunity to lead meaningful AI and technology engagements for major clients and thrive in a collaborative, people-first culture that values both technical rigour and human connection we would love to hear from you.
Ai Engineer employer: Baringa Partners
Baringa Partners is an exceptional employer for Machine Learning Engineers, offering a dynamic work culture that fosters innovation and collaboration. With a strong focus on employee growth, you will have the opportunity to engage in meaningful projects while upskilling clients and contributing to their success. Located in a vibrant environment, Baringa provides a unique blend of technical challenges and consulting expertise, making it an ideal place for passionate professionals eager to make an impact.
