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- Tasks: Lead AI consultancy projects and deliver innovative solutions for major clients.
- Company: Join Baringa, a global consulting firm known for its collaborative culture and industry expertise.
- Benefits: Enjoy a supportive work environment with opportunities for professional growth and development.
- Other info: Inclusive recruitment process encouraging diverse applicants from all backgrounds.
- Why this job: Make a real impact by bringing AI solutions to life in diverse industries.
- Qualifications: 7+ years in tech consulting or AI/ML, with strong leadership and communication skills.
The predicted salary is between 80000 - 100000 £ per year.
Baringa is a global consulting firm that partners with leaders to drive change and create value. With deep industry expertise, and enabled by advanced technology, the firm helps clients to deliver with greater confidence and certainty. The firm works across energy and resources, financial services, government and public sector, consumer products and retail, pharmaceuticals and life sciences, manufacturing, and technology, media and telecoms, with capabilities spanning strategy, transformation and operational excellence – all powered by advanced technology, data, AI and digital innovation.
Our Solutions & AI Labs (SAIL) practice is looking for an experienced Senior Manager to lead consultancy engagements and grow our AI & Solutions Engineering capability. The Forward Deployed AI & Solutions Engineer role will lead the delivery of AI-enabled solutions embedded in our clients' teams, combining deep technical specialism with the commercial and leadership skills to grow and shape our practice. This is a role for someone who thrives at the intersection of client advisory, technical architecture and hands-on delivery leadership – and who has a genuine passion for bringing AI solutions to production at scale.
What you will be doing:
- Own and lead consultancy engagements end-to-end from shaping the opportunity and winning the work, through to delivery governance and team leadership.
- Bring SME-level depth in at least one of AI/ML Engineering, Platform Engineering, or Software Engineering, and apply it to create real, lasting value for our clients.
- Own and lead end-to-end delivery of complex AI and technology consulting engagements, taking accountability for scope, quality, risk and client outcomes.
- Lead and resource multi-disciplinary delivery teams including engineers, data scientists and consultants providing clear direction, technical oversight and people development.
- Manage engagement resourcing: forecast team requirements, work with practice leadership to staff engagements, and develop the talent pipeline through mentoring and support of junior practitioners.
- Proactively identify and manage delivery risks in complex stakeholder environments, escalating appropriately and maintaining client confidence throughout.
- Communicate clearly to both technical teams and senior client stakeholders, translating complexity into actionable insight and decisive recommendation.
- Conduct rigorous technical reviews and uphold engineering and delivery standards across every engagement you lead.
- Play a leading role in business development: identifying new opportunities, shaping propositions, and supporting or leading bids and tender responses for AI and technology engagements.
- Contribute to proposal writing, articulating Baringa’s capabilities and differentiators, including authoring technical and delivery sections of bid responses to client tenders and RFPs.
- Build and maintain strong client relationships, acting as a trusted advisor and developing opportunities for follow-on engagement.
- Support practice-level growth initiatives, including account planning, capability development, and go-to-market positioning for AI and solutions engineering services.
- Lead architecture design for AI-enabled platforms and cloud solutions, balancing technical excellence with delivery pragmatism and commercial realities.
- Provide hands-on technical direction where required – reviewing designs, code and delivery artefacts to maintain quality standards across the engagement.
- Champion the path from prototype to production: driving robust, scalable and secure AI deployments that go beyond proof-of-concept thinking to real business impact at scale.
- Act as a credible technical voice with client architects, CTOs and engineering leads, earning trust through depth of knowledge and a demonstrable delivery track record.
AI/ML Specialism:
- Expert-level knowledge in at least one of the following domains, and working knowledge across the others:
- Agentic AI & LLM Engineering: Design and build production-grade agentic systems using major LLM SDKs and agent frameworks; deep knowledge of RAG, MCP servers and prompt engineering at scale.
- Machine Learning Engineering: End-to-end ML lifecycle expertise: feature engineering, model training, evaluation and production deployment, including MLOps, monitoring and drift detection.
- Platform & Cloud Engineering: Architecture and delivery of scalable cloud data and AI platforms on AWS, Azure or GCP; experienced with containerisation, IaC, event-driven architectures and CI/CD.
- Software Engineering: Production-grade Python services and front-end development with React/Next.js, Material UI and SWR.
Your Skills and Experience:
- 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 & Cloud Engineering, or Software Engineering – with strong architecture and design capability across cloud, data and AI domains.
- Proven ability to build and lead high-performing delivery teams in complex stakeholder environments, with experience engaging comfortably at CTO or engineering director level.
- Clear, confident communicator – able to make the complex accessible for technical and non-technical audiences alike, and to represent Baringa’s expertise with credibility.
- Master’s degree in Computer Science, Engineering, Mathematics, Data Science or related discipline, or equivalent depth through relevant professional certifications.
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.
Senior Manager, Forward Deployed AI Engineer in London employer: Baringa
Contact Detail:
Baringa Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Manager, Forward Deployed AI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend relevant events, and don’t be shy about asking for introductions. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for interviews by researching Baringa and its projects. Understand their approach to AI and technology consulting, and think about how your skills align with their needs. We want to see your passion for AI solutions shine through!
✨Tip Number 3
Practice your pitch! Be ready to explain your experience and how it relates to the Senior Manager role. We love candidates who can clearly communicate their value and demonstrate their leadership skills in a way that resonates with our team.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we’re always on the lookout for talent that fits our collaborative culture, so make sure you showcase your unique skills!
We think you need these skills to ace Senior Manager, Forward Deployed AI Engineer in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Senior Manager role. Highlight your experience in AI/ML and how it aligns with Baringa's focus on delivering AI-enabled solutions. We want to see how you can bring value to our team!
Showcase Your Leadership Skills: Since this role involves leading multi-disciplinary teams, don’t forget to emphasise your leadership experience. Share examples of how you've successfully managed teams and delivered complex projects. We love to see a strong leader in action!
Be Clear and Concise: When writing your application, keep it clear and to the point. Use straightforward language to explain your technical expertise and how it relates to the role. We appreciate clarity, especially when it comes to complex topics like AI and technology.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts and you’ll be good to go!
How to prepare for a job interview at Baringa
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI/ML engineering, platform engineering, and software engineering. Be ready to discuss specific projects you've worked on, especially those that involved deploying AI solutions at scale. This will show that you not only understand the theory but also have practical experience.
✨Engagement Leadership Skills
Prepare to talk about your experience leading complex projects. Think of examples where you managed multi-disciplinary teams and how you ensured successful delivery. Highlight your ability to communicate effectively with both technical teams and senior stakeholders, as this is crucial for the role.
✨Business Development Mindset
Since business development is a key part of the role, be ready to share your thoughts on identifying new opportunities and shaping proposals. Discuss any past experiences where you contributed to bids or tenders, and how you articulated your team's capabilities to win work.
✨Cultural Fit and Values
Baringa values a collaborative and people-first culture, so be prepared to discuss how you embody these values. Share examples of how you've built strong client relationships and mentored junior team members. Show that you care about client success and are passionate about delivering impactful AI solutions.