Director - AI and Machine Learning på Artefact i 17th Floor
Artefact · 17th Floor
Director - AI and Machine Learning
Artefact UK - H2 2026
Director Job Description
WHO WE ARE
Artefact is a new generation of data and AI consultancy, and one of the fastest growing. In the la...
Artefact UK - H2 2026
Director Job Description
WHO WE ARE
Artefact is a new generation of data and AI consultancy, and one of the fastest growing. In the last six months alone we've grown
from 2,000 to 2,500 people, now serving over 3,000 clients across 36 offices in 27 countries. Founded in 2014 and backed by
Cinven, we're Europe's largest pureplay consultancy in data and AI, and we're not slowing down.
We specialise in data consulting and AI-driven transformation, working with organisations across the globe to turn data into
measurable business impact, creating real change in how businesses operate, compete, and grow. With 40% of our people in
consulting roles, we have the critical mass to deliver full transformation at scale. We don't just offer strategies. We frame
problems, design solutions, build the technology, and operate what we deliver. That distinction, between those who propose and
those who implement, is central to how we work.
We're technology-agnostic but technology-deep. We hold premium partnerships with the platforms shaping this industry, including
Google, Anthropic, OpenAI, Databricks, and AWS, giving our consultants direct access to the newest capabilities before they reach
the mainstream. Half of our projects involve collaboration across more than two offices, so the expertise you need is never far
away, and our teams bring together AI specialists, data scientists, data engineers, and digital experts: the full range of talent
required to reach the last mile of a transformation.
Progression here is earned, not timed. We don't run on tenure. We run on impact, and strong performers move fast. If you want to
build things that matter, at a pace that matches your ambition, this is where you do it.
WHAT WE DO
Our UK office is at an inflection point. We've built the foundations of a category-defining consultancy, and now we're scaling,
fast. The shape of the team a year from now will look very different to today. Join now, and you're building the office before
Artefact becomes a name every top consultant already knows.
We work across a broad range of industries, including Retail Banking, Insurance, Private Equity, Energy & Utilities, Retail &
E-commerce, CPG & FMCG, and Automotive, giving consultants the space to build real depth in one or two areas while staying
genuinely exposed to others. It's one of the things people here value most.
Our engagements run end to end, from strategy and governance through to delivery of high value data and AI solutions. The problems
we work on are the ones organisations are genuinely wrestling with right now: Data Platform Strategy and Build, Generative AI
Strategy, Agentic AI Strategy & Deployment, AI Governance and Assurance, Digital Transformation, and AI Adoption and Change. This
work needs people who can operate at a strategic level in the morning and get into the technical weeds in the afternoon, and know
when to do which.
If that's the kind of work you want to be doing, we'd love to hear from you. We're looking for people who are genuinely energised
by AI and data, and who want a hand in shaping how organisations and how people work change for the better.
WHAT YOU WILL DO
As a Director at Artefact UK, you will operate at the intersection of AI and data strategy, client leadership, and commercial
growth. Reporting to the Partners and Managing Director, you own the AI and data agenda across a portfolio of clients, with Tech
Leads and Managers reporting to you and running the day-to-day delivery of the engagements within it. This is a role for someone
who is equally comfortable shaping a client's AI strategy at board level and building the playbook that lets Artefact deliver it
again, better, for the next client.
Technology leadership: You will take a client's business opportunities and pain points and match them to the right ML, AI or
data engineering solution. You possess the technical depth required to engage in discussions regarding solution architecture
and implementation details with a client’s Principal Engineers and Data Scientists.
AI use case leadership: You will work with client management and Artefact teams to identify and prioritise the AI use cases
that create genuine differential value, and lead their development end to end, from ideation through to deployment and
continuous improvement. You will build and maintain a library of use cases and solution sets that can be reused and adapted
across the wider client base.
Data and analytics capability building: You will assess clients' current data and analytics maturity, spot the opportunities
for rapid enhancement, and turn what you learn into a playbook that can be repeated across new clients.
Senior client advisory and stakeholder relationships: You will work closely with client cross-functional teams, spanning
technology and business, to ensure AI solutions integrate cleanly into how the organisation actually runs. You will build
strong relationships with key stakeholders across your clients, and create a community of data leaders that shares knowledge
and best practice across the portfolio, positioning Artefact as a genuine partner in that network rather than a supplier to it.
Commercial ownership and business development: You will lead pitches end-to-end, shaping the proposition, directing proposal
development, and leading client-facing pitches and RFP responses, and you will contribute to pipeline management and
opportunity prioritisation across the broader practice.
Thought leadership, innovation and talent development: You will stay ahead of developments in AI and data analytics, bring
cutting-edge solutions and a network of trusted advisors to your clients, and contribute insights and recommendations that
shape Artefact's own AI and data strategy. You will mentor and support the development of data and AI talent at Artefact, with
particular attention to growing the Tech Leads and Managers who report to you.
THE KIND OF PERSON THIS WORKS FOR
The Director role is for people who have already proven they can lead AI and data engagements and manage senior talent, and who
are ready to be accountable for a portfolio of clients, a library of reusable solutions, and the technology leads who deliver
against both. It is a step-change in scope, not just seniority. What we're looking for:
Around 10+ years of experience leading AI and data projects, with a strong, specific track record of delivering measurable
business value for clients, ideally including several years spent working with consulting and technical teams together.
Deep expertise across AI technologies, machine learning, data analytics, and data management, paired with a strong
understanding of AI and ML, data infrastructure and architecture, including data warehousing, and cloud-based solutions, so you
can move fluidly between the strategic and the technical.
A track record you can speak to specifically, including engagements you have delivered, accounts you have grown, and pitches
you have led.
Credible at C-suite level; confident engaging and influencing senior executives and stakeholders across a client organisation,
not because you perform confidence, but because you have done the work and know what you are talking about.
Genuinely invested in developing other people; you mentor and support the technical talent around you, and you take building
Artefact's data and AI capability as seriously as you take any individual engagement.
We do not require a single career path to this role. Some of our strongest Directors came from tier-one consulting firms, some
from private equity or in-house transformation leadership, and some grew here. What they share is deep AI and data expertise, the
ability to earn trust at every level, and the judgement to know when to operate strategically and when to get into the technical
details themselves.
WHY YOU SHOULD JOIN ARTEFACT
Exciting, cutting-edge projects at global scale: We deliver truly innovative work to blue chip clients across the globe, you
will design and lead these initiatives.
Genuinely diverse work and people: On any given week you might work alongside a data scientist, a C-level executive, directors
and more, across sectors you wouldn't encounter anywhere else.
Transparent progression: A clear pathway to Partner level, with half-year reviews, honest feedback, and active coaching.
Global without the travel grind: Multi-market projects and a 2,500-person global network, London-based, & hybrid working.
A genuine culture of learning: From tool-specific training to testing the latest AI models to running client workshops on what
you've found, you have the liberty to pursue what interests you and share it with the team.
CellaVision AB – Lund, Sweden
About us
CellaVision is a global leader in digital cell morphology within hematology, and our analyzers are trusted in healthcare services around the world. We focus on innovation, working with the latest in programming, digital imaging, and machine learning to provide value to our customers. By joining us, you’ll be part of a creative, skilled team shaping the future of medical technology
www.cellavision.com
Lead the future of AI-driven diagnostics
What if your next role was not only about building advanced AI systems, but also about improving healthcare diagnostics worldwide?
At CellaVision, machine learning has been an important part of our technology for more than 30 years. We are now consolidating our expertise into a dedicated machine learning organization, further strengthening capabilities built over decades.
We are now looking for a Director Machine Learning to lead this journey.
Why this role matters
CellaVision is a global leader in digital microscopy for hematology, helping laboratories deliver faster and more accurate diagnoses. Our solutions combine advanced imaging, robotics, and AI-powered analysis to improve patient outcomes worldwide.
As Director Machine Learning, you will:
Lead and develop a strategically important machine learning organization
Work alongside some of the most experienced experts in machine learning and medical image analysis
Help shape the future of AI-powered diagnostics in a company where machine learning is already proven, deployed, and used at scale
Drive the development of advanced algorithms used in laboratories around the world
This is a unique opportunity to combine technical leadership, organizational influence, and meaningful impact on healthcare.
Your mission
You will lead and develop CellaVision’s machine learning function, with responsibility for both technical excellence and organizational growth.
Your responsibilities include:
Building, leading, and developing a highly skilled machine learning organization, including a dedicated validation team
Driving the design, development, and deployment of advanced machine learning models for medical image analysis
Ensuring robustness, performance, and regulatory-grade quality of algorithms
Establishing efficient processes, workflows, and ways of working
Collaborating cross-functionally to translate clinical and business needs into technical solutions
Engaging with universities and research partners to stay up to date with the latest developments in machine learning and AI
Ensuring CellaVision remains at the forefront of developments in machine learning and AI
As Director Machine Learning, you will play an important role in shaping CellaVision’s long-term machine learning capabilities. You will report to the VP Devices & Software and be part of the Devices & Software division’s management team.
Who you are
You are an experienced technical leader with deep expertise in machine learning. You enjoy going deep into complex problems while also enabling others to perform at their best.
You likely bring:
More than 10 years of experience in R&D, including several years in leadership roles
Strong expertise in machine learning and AI, ideally within medical imaging
Experience delivering machine learning solutions from research to production
A track record of building and leading high-performing teams, including senior talent
The ability to bridge technical and non-technical stakeholders
A structured mindset, with experience working in quality- and regulation-driven environments
Experience working in regulated or other quality-critical environments is considered an advantage
A strong academic background in applied mathematics, computer science, or a related field
A genuine interest in developments within machine learning research and modern AI methods
Most importantly, you are motivated by solving meaningful and technically challenging problems together with highly skilled colleagues.
Why CellaVision
More than three decades of machine learning innovation
Technology that contributes directly to faster diagnoses and improved patient care
A global company with products used in laboratories in more than 40 countries
An engineering-focused environment built on quality, collaboration, and long-term thinking
The opportunity to shape and develop a new organizational unit with strong existing expertise and technology
Practical details
Location: Lund, Sweden
Reporting to: VP Devices & Software
Travel: Limited
Join us
At CellaVision, you will combine advanced machine learning, technical leadership, and real-world healthcare impact.
If you are ready to help shape the next generation of healthcare diagnostics, we would love to hear from you.
In this recruitment process, we are partnering with Radeptus. For any questions regarding the position, please contact Jenny Månsson at +46 703 318 506 or via email at jenny@adeptus.se.
Please submit your application here
JOB DESCRIPTION
We are looking for a Senior Scientist to join our Advanced Computing & Modelling team and take a leading role in our research at
the intersection of tensor networks and modern machine learning. This is an area of strategic importance for Terra Quantum, with
applications across several industries.
Your mission is to help grow and strengthen this research and to apply it to demanding real-world problems. We are looking for
someone with a broad background in AI and machine learning and strong mathematical foundations, so they can either bring relevant
expertise in this area or pick it up and start contributing quickly.
The role reports to the Director of Advanced Technologies and works closely with scientists and engineers across the division.
RESPONSIBILITIES
* Take a leading role in advancing and scaling up our tensor network research, developing new methods for efficient ML model
architectures, training, and optimisation, and pushing them beyond the current state of the art.
* Design and train modern deep learning models, with a focus on making large-scale training more efficient.
* Develop and improve the algorithms at the core of our methods, taking ideas from concept to validated result.
* Work with teams across the division to apply these methods to challenging real-world
* Contribute to patents and selected publications, and represent Terra Quantum at leading conferences.
* Help structure the team's research and mentor junior colleagues, raising both scientific and engineering standards.
* Collaborate with engineers across the division to run methods efficiently on modern computing platforms.
QUALIFICATIONS
REQUIRED
* PhD with significant relevant experience in machine learning, applied mathematics, computer science, or a closely related
field, with strong mathematical foundations in linear algebra, numerical methods, optimisation, and probability.
* Hands-on experience training modern deep learning models such as transformers, including efficient large-scale training and
fine-tuning, using frameworks such as PyTorch or JAX.
* Strong command of optimisation methods for machine learning, including gradient-based and large-scale optimisation,
regularisation, and training dynamics and
* Experience with efficient training and model compression techniques, such as low-rank methods, quantisation, distillation, or
sparsity.
* A demonstrated ability to master new mathematical frameworks quickly: either existing expertise in this area, or a clear track
record showing you can pick it up
* Strong Python skills and solid software-engineering practice, with experience on GPU and HPC environments and distributed
training.
* A record of publications or patents, and the ability to take a research direction from concept to result independently.
* Strong communication and organisational skills, and the willingness to guide and develop junior colleagues.
PREFERRED
* Knowledge of tensor networks and related numerical and optimisation
* Domain exposure to one or more of: finance, chemistry, or operations
* Knowledge of C++ and familiarity with quantum computing
The Rewards
We are an international team of quantum technology experts and dedicated business creatives that are working to bring
quantum-enabled solutions to the global market. Our brilliant team members enjoy a high degree of freedom working remotely or
joining one of our office spaces. We have a vibrant, enthusiastic, passionate and creative culture driven by trust, excellence and
continuous improvement. If you join the Terra Quantum team, you can expect:
* An opportunity to work with some of the brightest minds in the pioneering field of Quantum Technologies as well as an
experienced and progressive Leadership team
* Gain knowledge of some of the most cutting-edge technology developments in science & engineering
* A chance to be part of one of Europe’s leading technology firms of the upcoming decades
* Welcoming, friendly, and professional colleagues
* A personal development plan with clear goals for advancement
* A competitive salary
* Flexible working arrangements
* A diverse and supportive atmosphere, where innovation and initiative are encouraged
If you are enthusiastic about positively impacting the world and helping to drive the second quantum revolution, let’s talk!
Company description
Quantum technologies have the potential to solve some of the world’s biggest challenges. There have been great advances in all
areas of quantum technologies, and new fields of application are opened up every day. Hybrid computer systems that combine classic
high-performance computing with quantum computers are already being used to develop solutions in sectors such as logistics,
healthcare, finance, energy, automotive and aerospace. Quantum mechanical predictions are also used to obtain unprecedented
precision in measurements, generate unbreakable codes, and form the basis of impenetrable communication networks. All these
developments are happening right now, and they are happening at Terra Quantum.
At Terra Quantum we are building the world’s leading Quantum Technology company. We offer customers world-class quantum technology
expertise organized as “quantum-as-a-service”: hybrid quantum algorithms, quantum compute and quantum enabled security solutions.
Through the proprietary quantum cloud, customers have access to a unique technology platform which provides a toolset to solve
real-world challenges in the realms of machine learning, optimization and simulation, today. In 2022, the company closed its
Series A financing round with a $75m fundraise.
Quantum physics has, in some respects, parallels to the machine language of our computers-the zeros and ones into which our
keyboard or touchscreen instructions are translated for execution in the computer-only on a larger scale: it is the machine
language of the universe. The second quantum revolution is based on the control of individual quantum systems, such as individual
atoms. We use quantum computers to solve currently unsolvable problems, simulate molecules and their interactions, find drugs for
diseases that are not yet curable, find new materials, or make artificial intelligence stronger. Quantum is now.
Terra Quantum is a future-focused quantum services and technology company working on making the second quantum revolution a
reality. Terra Quantum’s activities span all areas, markets, and industries globally.
* Our purpose is to pioneer quantum technologies to change the world for good,
* Our vision is to lead the quantum revolution and be the trailblazer in technology solutions, shaping a better future for
humankind to thrive in, and
* Our mission is to unleash the power of quantum tech to deliver meaningful solutions today
Terra Quantum is an equal opportunities employer, committed to diversity, inclusion and employee well-being.
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
