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AI / ML Engineering Consultant (Manager)

AI / ML Engineering Consultant (Manager)

Baringa PartnersLondon, GB
9 days ago
Job type
  • Full-time
Job description

Our Data, AI, Solutions & Engineering (DAISE) practice are looking for an experienced Manager to join the team.

This is a unique opportunity to shape and lead cutting-edge AI engagements across industries, helping clients unlock the full potential of their data and AI capabilities. You will play a pivotal role in defining strategy, delivering complex AI programmes, and growing our AI consulting footprint.

In 2025, Baringa’s DAISE team was honoured with the “Data Team of the Year” award at the British Data Awards and one of only 13 firms ranked for AI expertise out of 170 in the FT’s Leading Management Consultants, celebrating our people-first approach, collaborative mindset, and commitment to delivering high-impact AI and data solutions.

What you will be doing

You will be leading the delivery of AI and machine learning solutions that solve complex client challenges across sectors. We typically work with multi-skilled teams, from Baringa’s client sector teams and from other capabilities, to solve challenging client problems.

As a Manager in the DAISE team, you’ll work closely with senior stakeholders to shape AI strategies, define delivery roadmaps, and oversee the implementation of scalable, production-grade AI systems. You’ll be responsible for ensuring that solutions are aligned to our client's business goals, technically robust, and ethically sound—while also supporting the development of our internal capabilities and mentoring junior team members.

Typical engagements include :

  • Leading the end-to-end delivery of AI / ML projects, from discovery and design through to deployment and monitoring.
  • Translating business requirements (both functional and non-functional) into solutions, ensuring compliance with the organisations strategy, policies and standards and in some cases, help customers to define new policies, principles and standards.
  • Advising clients on AI operating models, governance frameworks, and responsible AI practices.
  • Supporting clients in scaling AI capabilities, including MLOps, cloud infrastructure, and data readinesss, as well as transition from on-prem to modern cloud-based infrastructures (AWS, Azure, GCP)
  • Driving stakeholder engagement, ensuring alignment between technical delivery and business value.

Your skills and experience

We are seeking passionate and strategic leaders who bring a blend of technical depth, commercial acumen, and consulting experience. You should have :

  • Proven experience (5+ years) in AI / ML strategy, delivery, or transformation, ideally within a consulting or advisory environment.
  • Deep understanding of AI / ML technologies, including supervised / unsupervised learning, NLP, LLMs, MLOps, and cloud-based AI platforms (Azure, AWS, GCP).
  • Experience leading large-scale AI programmes or portfolios, including stakeholder engagement at CxO level.
  • Interested in building AI applications, ranging from image recognition application to large language model based chatbots.
  • Strong understanding of AI governance, ethics, and regulatory considerations.
  • Ability to shape and articulate compelling value propositions for AI initiatives.
  • A STEM degree is preferred; advanced degrees (, MSc, PhD) in AI, data science, or related fields are a plus.
  • Be a ‘lifelong learner’ and can demonstrate a drive to always be learning and developing your skillsets and develop the skillsets of others around you.

    • What a career at Baringa will give you

    Putting People First.

    Baringa is a People First company and wellbeing is at the forefront of our culture. We recognise the importance of work-life balance and flexible working and provide our staff amazing benefits. Some of these benefits include :

  • Generous Annual Leave Policy : We recognise everyone needs a well-deserved break. We provide our employees with 5 weeks of annual leave, fully available at the start of each year. In addition to this, we have introduced our 5-Year Recharge benefit which allows all employees an additional 2 weeks of paid leave after 5 years continuous service.
  • Flexible Working : We know that the ‘ideal’ work-life balance will vary from person to person and change at different stages of our working lives. To accommodate this, we have implemented a hybrid working policy and introduced more flexibility around taking unpaid leave.
  • Corporate Responsibility Days : Our world is important to us, so all our employees get 3 every year to help social and environmental causes and increase our impact on the communities that mean the most to us.
  • Wellbeing Fund : We want to encourage all employees to take charge and prioritise their own wellbeing. We’ve introduced our annual People Fund to support this by offering every individual a fund to support and manage their wellbeing through an activity of their choice.
  • Career Progression : No one develops at the same pace. That’s why we have quarterly rather than annual promotion reviews. We don’t have any quotas : if you’re ready and delivering at the right level, you’ll get that promotion.
  • Profit Share Scheme : All employees participate in the Baringa Group Profit Share Scheme so everyone has a stake in the company’s success.
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    Engineering Manager • London, GB