London•Publicerad: 20 maj•Sista ansökan: 16 aug.
ABOUT BARINGA
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. With over 2,000 people
across the UK, Europe, North America, Asia and Australia, the firm combines global insight with local understanding.
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.
Clients value Baringa’s collaborative approach and the way its teams integrate seamlessly – all working with a shared
understanding of what matters most. The firm is known for its kind, curious experts who listen closely and care deeply about
client success as they help clients transform energy markets, modernise financial platforms, expand telecoms and digital networks
through advanced data analytics, enable digital services in government, and unlock growth in consumer sectors.
Certified as a Great Place to Work around the world, Baringa has been recognised by the Financial Times in 22 categories of its UK
Leading Management Consultants rankings, and by Forbes for four consecutive years as one of the World’s Best Management Consulting
Firms.
Our Solutions & AI Labs (SAIL) practice are looking for experienced Consultants to join the team!
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 Consultant 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.
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-native 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-native 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 consultant 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.
* 1-5 years in technology consulting, software engineering or AI/ML
* 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.
* 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).
* 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.
JOIN US
All applications received will be reviewed by a member of our Talent Acquisition team. We never rely solely on automated screening
or AI tools to make hiring decisions. Your application will be considered for employment without regard to race, ethnicity,
religion, gender, gender identity or expression, sexual orientation, nationality, disability, age, faith or social background. We
do not filter applications by university background and encourage those who have taken alternative educational and career paths to
apply. We would like to actively encourage applications from those who identify with less represented and minority groups. We
operate an inclusive recruitment process, ensuring reasonable adjustments where needed. Please contact a member of our Recruitment
Team to discuss further.
BARINGA PRIVACY NOTICES
For UK & EU
Your personal data will be retained by Baringa for up to two years, in accordance with our UK Recruitment Privacy Notice / EU
Recruitment Privacy Notice, to evaluate your application and meet our legal and reporting obligations. In line with the General
Data Protection Regulation (GDPR), you have the right to request access to, rectification, or erasure (subject to legal
limitations) of your personal data. For more information, please contact us at privacy@baringa.com
For the USA
Your personal data may be retained by Baringa for up to two years, as outlined in our Recruitment Privacy Notice (AMER & APAC), to
support the recruitment process and internal reporting requirements. Where applicable, and in accordance with relevant federal and
state laws, you may have the right to request access to or correction of your personal information. For further details, please
contact privacy@baringa.com
For Australia & Singapore
Your personal data will be retained by Baringa for up to two years, in accordance with our Recruitment Privacy Notice (AMER &
APAC), to assess your application and meet applicable reporting and legal obligations. In line with the Australian Privacy Act and
Singapore’s Personal Data Protection Act (PDPA), you may have rights to access, correct, or request limited deletion of your
personal data. For more information, please contact us at privacy@baringa.com
London•Publicerad: 8 juli•Sista ansökan: 16 aug.
ABOUT BARINGA
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. With over 2,000 people
across the UK, Europe, North America, Asia and Australia, the firm combines global insight with local understanding.
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.
Clients value Baringa’s collaborative approach and the way its teams integrate seamlessly – all working with a shared
understanding of what matters most. The firm is known for its kind, curious experts who listen closely and care deeply about
client success as they help clients transform energy markets, modernise financial platforms, expand telecoms and digital networks
through advanced data analytics, enable digital services in government, and unlock growth in consumer sectors.
Certified as a Great Place to Work around the world, Baringa has been recognised by the Financial Times in 22 categories of its UK
Leading Management Consultants rankings, and by Forbes for four consecutive years as one of the World’s Best Management Consulting
Firms.
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-native 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-native 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.
JOIN US
All applications received will be reviewed by a member of our Talent Acquisition team. We never rely solely on automated screening
or AI tools to make hiring decisions. Your application will be considered for employment without regard to race, ethnicity,
religion, gender, gender identity or expression, sexual orientation, nationality, disability, age, faith or social background. We
do not filter applications by university background and encourage those who have taken alternative educational and career paths to
apply. We would like to actively encourage applications from those who identify with less represented and minority groups. We
operate an inclusive recruitment process, ensuring reasonable adjustments where needed. Please contact a member of our Recruitment
Team to discuss further.
BARINGA PRIVACY NOTICES
For UK & EU
Your personal data will be retained by Baringa for up to two years, in accordance with our UK Recruitment Privacy Notice / EU
Recruitment Privacy Notice, to evaluate your application and meet our legal and reporting obligations. In line with the General
Data Protection Regulation (GDPR), you have the right to request access to, rectification, or erasure (subject to legal
limitations) of your personal data. For more information, please contact us at privacy@baringa.com
For the USA
Your personal data may be retained by Baringa for up to two years, as outlined in our Recruitment Privacy Notice (AMER & APAC), to
support the recruitment process and internal reporting requirements. Where applicable, and in accordance with relevant federal and
state laws, you may have the right to request access to or correction of your personal information. For further details, please
contact privacy@baringa.com
For Australia & Singapore
Your personal data will be retained by Baringa for up to two years, in accordance with our Recruitment Privacy Notice (AMER &
APAC), to assess your application and meet applicable reporting and legal obligations. In line with the Australian Privacy Act and
Singapore’s Personal Data Protection Act (PDPA), you may have rights to access, correct, or request limited deletion of your
personal data. For more information, please contact us at privacy@baringa.com
London•Publicerad: 22 juni•Sista ansökan: 16 aug.
We help companies get compensation right.
What we get paid at work has a massive impact on our lives, and it’s one of the biggest factors in hiring and retaining talent -
and yet so many companies struggle to get it right. They simply have no choice but to rely on poor data and unsophisticated tools
for their pay decisions. That’s why we created Ravio.
We help many of the world’s most innovative and ambitious companies build stronger teams and reach their goals through better
compensation. Our real-time data platform brings compensation into the modern age, tracking the market across all compensation
types from salary to equity and benefits.
Ravio is growing fast, which means you can too. We’ve established ourselves as the European leader in our space serving more than
1,200 clients, and now have our sights set on becoming the global go to place for compensation data and tools for managing
compensation.
Joining a startup and scaling it into a global product is one of the most challenging and rewarding experiences a career can
offer. If that sounds exciting to you, you’re in the right place.
The role
We’re looking for a Lead Software Engineer to join our engineering team and play a major role in our technical leadership during a
significant platform shift.
Ravio is moving from a traditional SaaS posture to a platform built around agents - parent agents fronting our compensation data,
specialist agents underneath, durable workflows, an MCP-based tool layer, and an eval harness to maintain consistency. You’ll own
architecture and technical design across the stack: the customer-facing web app, the agentic platform, and the shared
infrastructure connecting them.
You’ll bring system design depth - the kind that holds up under load, failure, and coordination across services and teams. You’ll
continue to raise the bar on code quality, reliability, and the technical decisions that shape what we ship.
This is a hands-on individual contributor role - leading technical decision-making and tackling the hardest problems we encounter.
There are also upcoming opportunities to move into management as our company continues to grow, if you wish.
Requirements
* 8+ years commercial engineering experience, with a track record of technical leadership during platform shifts - owning
architecture, driving decisions, raising the bar through code review and design review, especially where LLM assisted
engineering has become the standard
* System design depth as your headline strength. Concrete: durability and consistency under failure, multi-service orchestration,
data platforms, performance and cost at scale, observability and ops fluency
* Senior-level fluency in TypeScript and Node, comfortable across the backend (PostgreSQL, GraphQL or HTTP APIs, GCP-shaped
infra)
* Comfortable owning code in a distributed monorepo with multiple deployable services
* Ships fast under product pressure - we’re moving from PMF to scale and the role needs that pace
Nice to have
* Production experience with agentic systems - tool calling, multi-step orchestration, LLM evals.
* Workflow engines (Temporal, Cadence, Step Functions) - even if not Temporal specifically
* MCP, Anthropic SDK, or other LLM platform work
* Building developer platforms, internal SDKs, or framework-shaped surfaces
* Eval-driven development, prompt engineering at scale, LLM-judge harnesses
* React or another modern frontend framework
Our tech stack
* Frontend
* React
* Typescript
* GraphQL (Apollo Client)
* Playwright
* Jest
* Storybook + Chromatic
* Mantine
* GCP (Cloud Run)
* Backend
* Typescript
* PostgreSQL
* GraphQL Yoga
* Jest
* Auth0
* GCP (Cloud Run, Cloud SQL, Cloud Storage + more)
* AI / agentic platform
* Opus/GPT/Gemini/and many more model families
* Vertex/Bedrock/Foundry - Cloud deployed models
* Temporal - durable workflow engine
* MCP servers as the tool layer
* AI gateway (Bifrost) for logging, routing, governance
* Eval harness (Phoenix) - golden queries, LLM-as-judge
* Memory layer (Neo4j)
* All the other good stuff
* GitHub Actions
* Datadog
* Figma
* Slack
* Linear
The opportunity at Ravio right now
From your perspective, there are three critical things to look for when evaluating this role: a company going places, a strong
engineering culture, and a role that gives you a true opportunity to have impact as a technical leader.
Ultimately it’s for you to decide whether that’s true in our two-way street interview process. Here’s a summary of where we are
right now and what you can expect as a starting point.
There’s a lot happening at Ravio right now. We’ve just raised our Series A led by tier 1 US investors Spark Capital, and have
acquired the benchmarking business of our competitor - Compete. We’ve got new joiners starting almost every week, and we’re
rapidly expanding outside of our core markets in Europe. We need you to help us maintain our velocity and continue to build a
scalable org and product.
Our core benchmarking product is at product-market fit, and we have a couple of new modules in the 0-1 phase. This means we’re at
an exciting stage that involves 0-to-1 building in some areas, and building for scale in others. That’s true across the business,
we’re continuing to expand and experiment, while systemising and doubling down on what is already working well from our seed
phase.
Beyond the core product, we’re building Ravio’s agentic platform - parent agents fronting our compensation data with specialist
agents underneath, durable workflows on Temporal, an MCP-based tool layer, and an eval harness to maintain consistency. It’s a
platform engineering effort with the same care and rigour we apply to the rest of the product. A Lead engineer joining now would
help shape the foundations of how Ravio’s product is built for the next phase.
We’d like to think Ravio is a great place to be a Lead engineer - we have technical leaders who know first hand the importance of
creating space and focus for engineering teams to do their best work. And you’ll be working alongside many accomplished and world
class teammates, who are energised by the work they do and have a high bar for themselves and their colleagues.
Why join Ravio?
* Shape an agentic platform from its early stages, with senior engineering peers and a high autonomy bar.
* Opportunity for fast-tracked professional growth at a scaleup backed by world-class investors alongside a smart, energetic
team.
* Blend of IC work and leadership, giving you both hands-on impact and career growth.
* Remote-friendly, flexible work culture with a high degree of ownership.
* While we’re very focused, we also know how to have fun in the process.
* Build a meaningful product that helps people get paid fairly and competitively in their careers.
COMPENSATION & BENEFITS
* £110,000 - £150,000
* Company ownership (everyone gets a meaningful equity stake in Ravio)
* 37 days paid time off (25 days holiday + 4 wellness days + 8 public holidays)
* Up to 6% pension matching scheme
* £60 a month wellness allowance (Invest in your physical wellbeing, on us)
* £500 per year Learning and Development budget
* Private healthcare cover (on a medical history disregarded basis) with AXA
* Personal worldwide travel insurance - just in case
* Income protection insurance (for full peace of mind in case you cannot work because of sickness or disability)
* 16 weeks fully paid birthing parent leave, followed by 4 weeks at 50% pay. For non-birthing parents, we offer 8 weeks fully
paid leave.
For more information about what we collect and how we use it when you apply for a role with us, please refer to our Candidate
Privacy Notice
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