At a Glance
- Tasks: Lead AI consultancy projects and deliver innovative solutions for clients.
- Company: Join Baringa Partners, a forward-thinking tech consultancy with a people-first culture.
- Benefits: Competitive salary, professional development, and a collaborative work environment.
- Other info: Exciting opportunities for career growth in a dynamic, supportive team.
- 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 technical skills.
Job Description
hackajob is collaborating with Baringa Partners to connect them with exceptional professionals for this role.
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.
Our Solutions & AI Labs (SAIL) practice focuses on helping clients control their data, turn it into actionable insights, and better leverage it through the use of AI and Machine Learning solutions directly embedded into business processes. We support clients across a number of industries and offer deep expertise in AI/ML, Cloud, Platform Engineering, and Managed Solutions.
What you will be doing
As a Senior Manager in SAIL, you will own and lead consultancy engagements end‑to‑end from shaping the opportunity and winning the work, through to delivery governance and team leadership. You will 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.
Although we do not expect you to be an expert in all of the below activities simultaneously, our team consists of people who can work as advisors to our clients as well as bringing deep technical knowledge when needed. The profile of our typical engagements reflects that.
Key responsibilities span the following areas.
Engagement Leadership
- 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.
Business Development & Bid Support
- 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.
Technical Architecture & Delivery
- 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
You will bring 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.
- Strong opinions on secure, resilient enterprise deployment of LLM-powered systems; current knowledge of 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, PyTorch, XGBoost) and cloud-ML services (SageMaker, Azure ML, Vertex AI).
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.
- Track record of delivering production Python services and APIs; working knowledge of cloud-application patterns and release practices.
Software Engineering
- Production-grade Python services (FastAPI, 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, NoSQL, 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 & 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 (e.g. AWS Solutions Architect Professional, Google Professional ML Engineer).
- Desirable: prior experience as a forward-deployed or embedded engineer within a client environment; 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.
Forward Deployed AI Engineer, Senior Manager in London employer: Energy Jobline ZR
World Wide Technology (WWT) is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for a Programme Director in London. With a strong focus on employee growth, WWT offers opportunities to lead cutting-edge automation projects while working in a hybrid environment that promotes work-life balance. The company values transparent communication and client-first service, ensuring that employees are empowered to drive meaningful outcomes and develop their skills in a supportive atmosphere.
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We think this is how you could land Forward Deployed AI Engineer, Senior Manager in London
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We think you need these skills to ace Forward Deployed AI Engineer, Senior Manager in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Energy Jobline ZR.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Energy Jobline ZR and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Energy Jobline ZR
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Energy Jobline ZR uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
