ML PLATFORMING
TALENT SOLUTIONS
Our expertise in data recruitment uniquely positions us to understand the complexities of Machine Learning Platforming jobs. We recognize the importance of these positions in developing, managing, and optimizing the platforms that underpin successful ML operations.
Our recruitment strategies are designed to identify professionals who are not only skilled in ML technologies but also proficient in creating and maintaining robust ML platforms.
Harnham's extensive global network enables us to tap into a rich talent pool, ensuring access to the best candidates in the ML Platform domain.
Our local market knowledge across the United States, Europe, and the United Kingdom allows us to match your organization with candidates who fit your technical requirements and company culture, ensuring a seamless integration into your team.
WHY
HARNHAM?
Our recruitment strategy is centred on understanding the unique needs and challenges of your organization. We provide a customized approach to ensure we deliver candidates that not only have the required technical expertise for Machine Learning Platforming jobs but also align with your strategic goals and values.
As a leading global authority in data recruitment, Harnham boasts a large team of dedicated specialists who understand the nuances of the ML Platform space.
This extensive network allows us to offer superior recruitment solutions, tailored to the specific needs of your organization, regardless of industry.
With over twenty years in the field, Harnham has a proven track record in data talent acquisition. This experience provides us with the insight to effectively navigate the ML Platform recruitment landscape, ensuring we deliver candidates who can drive your ML initiatives forward.
OUR
SERVICES
As a global leader in data recruitment, our expansive team of specialists offers unrivalled insights and solutions, ensuring we meet the specific needs of your organization, regardless of industry for Machine Learning Platforming jobs.
- Permanent Recruitment: We specialize in identifying long-term talent for your ML Platform team, focusing on candidates who can grow and evolve with your organization.
- Contract Recruitment: Our contract recruitment services offer flexibility, allowing you to adapt to project-specific or interim ML Platform needs with skilled professionals.
- Executive Search: We find industry-leading executives capable of steering your ML Platform strategies towards success and innovation.
Contact us today to explore how our bespoke talent solutions can elevate your organization's ML capabilities.
JOBS
LATEST ML PLATFORMING
JOBS
Harnham are a specialist Data & AI recruitment business with teams that only focus on niche areas.
Head of Platform & Engineer
London
£100000 - £110000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Head of Platform & Engineering
London (Hybrid, near Tower Hill)
The Company
They are a global research and insights consultancy that partners with leading brands to inform strategic decision making. By combining advanced analytics, technology, and deep market understanding, they help organisations better understand customers and expand into new markets. Their work involves processing billions of data points per project, with a growing focus on synthetic data and AI-led innovation.
You will join a specialist synthetic data team that operates at the intersection of research, machine learning, and platform engineering, building tools that are shaping the future of data-driven insights.
The Role
- Own and define the platform strategy for a large-scale synthetic data and generative AI ecosystem
- Lead and develop a cross-functional engineering team, setting technical standards and best practices
- Build a scalable, secure, and high-performing platform used across global teams
- Bridge the gap between research, machine learning, and engineering to productionise advanced AI models
- Drive adoption of MLOps best practices including CI/CD, model lifecycle management, and reproducibility
- Ensure enterprise-grade governance, security, and privacy standards are embedded in the platform
Your Skills & Experience
- Strong technical leadership experience across software engineering, data engineering, or machine learning engineering
- Proven experience building and scaling complex data or ML platforms within a product-led environment
- Deep understanding of distributed systems, platform architecture, and high-throughput data processing
- Strong experience with Python and modern data and ML ecosystems
- Hands-on experience with GCP, Kubernetes, and infrastructure as code such as Terraform
- Experience implementing MLOps frameworks and managing model pipelines in production
What They Offer
- Hybrid working with a central London office (near Tower Hill)
- Opportunity to lead a high-impact AI platform from strategy through to delivery
- A collaborative, cross-disciplinary team environment
- Strong scope for leadership growth and influence across the business
How to Apply
If you are interested in this Head of Platform & Engineering role, please apply with your CV for consideration.
To Apply for this Job Click Here
Principal Software Engineer – Data Platform
San Francisco
$230000 - $280000
+ Data Engineering
PermanentSan Francisco, California
To Apply for this Job Click Here
Principal Software Engineer – Data Platform
San Francisco, CA (Remote Eligible – US Only)
$230K-$280K base + equity
Are you ready to lead the design and build of a world-class data platform from the ground up?
A high-growth, product-led tech company is looking for a Principal Software Engineer to lead the build-out of a modern, scalable data platform from the ground up. If you’re excited about solving massive data challenges and shaping the infrastructure that supports real-time analytics and AI/ML at scale, this role is for you.
As the most senior technical IC on the Data Platform team, you’ll partner with leadership across Engineering, Product, Security, and Compliance to design a low-latency, cloud-native data architecture using best-in-class tools like Kafka, Iceberg, ClickHouse, Tinybird, and Snowflake.
Why this role?
- Join a growing Data Platform team
- Own the technical vision and architecture end-to-end
- Tackle petabyte-scale data challenges and real-time streaming use cases
- Work with a cutting-edge tech stack (Kafka, Iceberg, ClickHouse, Snowflake, etc.)
- Drive platform evolution to support AI/ML and company-wide analytics
What You’ll Do
- Design and build a next-gen data platform to power product and internal use cases
- Architect for batch + streaming, scalability, fault tolerance, and low latency
- Lead data modeling, warehousing, governance, and ingestion best practices
- Champion engineering excellence and mentor senior engineers
- Align technical decisions with long-term business strategy
- Optimize for performance, cost, and resiliency in a modern cloud environment
What We’re Looking For
- 8+ years of experience in data engineering or platform architecture
- 5+ years at the Principal Engineer level or equivalent
- Deep expertise with Kafka (and its ecosystem), streaming data systems
- Strong experience with ClickHouse, Iceberg, Snowflake, or similar tools
- Cloud-native architecture expertise (AWS, GCP, or Azure)
- Track record of designing data systems for compliance and governance
- Experience scaling systems to support petabyte-level workloads
- Excellent communication, collaboration, and leadership skills
- Bonus: Experience enabling AI/ML platforms or preparing for IPO-scale growth
To Apply for this Job Click Here
SEO Manager (GEO)
London
£60000 - £65000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
SEO / GEO Manager (Organic & AI Search)
London (Hybrid – West London)
Up to £65,000
The Opportunity
We’re partnering with a well-known retail brand looking for an SEO / GEO Manager to lead organic growth across both traditional search and emerging AI-driven discovery channels.
This is a unique opportunity to shape the future of search-owning SEO performance today while building innovative strategies for AI platforms and next-gen search experiences.
Key Responsibilities
- Own and execute the organic search strategy across e-commerce platforms
- Conduct keyword research, technical audits, and on-page optimisation
- Monitor rankings, traffic, and revenue performance to drive growth
- Develop and lead GEO (AI search) strategy across emerging platforms
- Optimise content for AI discovery, retrieval, and citation
- Collaborate with content, digital, PR, and tech teams
- Define KPIs, build dashboards, and run performance experiments
- Act as the internal expert on the future of search and organic discovery
What We’re Looking For
- 4-7+ years’ experience in SEO or organic growth roles
- Proven track record of driving traffic and revenue through SEO
- Strong technical SEO and content strategy knowledge
- Understanding or strong interest in AI search and LLM-driven discovery
- Experience in e-commerce or retail environments (preferred)
- Strong analytical mindset with testing and experimentation experience
- Confident stakeholder manager with strong communication skills
- Commercially driven with a proactive, innovative approach
Ways of Working
- Hybrid model (3 days in office)
- Cross-functional collaboration across digital, tech, and marketing
- Blend of strategic ownership and hands-on execution
- Innovation-led environment focused on future search trends
Benefits
- Competitive salary + bonus
- Flexible working approach
- Private healthcare + pension + life assurance
- Generous staff discount
- 25 days holiday + bank holidays + option to buy more
- Additional perks including gym discounts, travel loans, and retail offers
- Early finish on Fridays
How to Apply
If you’re passionate about SEO and excited by the future of AI-driven search, we’d love to hear from you.
Apply with your CV or reach out to me!
To Apply for this Job Click Here
Senior Machine Learning Engineer – Adtech
Remote
$180000 - $250000
+ Data Science & AI
PermanentUnited States Virgin Island
To Apply for this Job Click Here
Senior Machine Learning Engineer
Remote (US)
Base up to $250K
We’re hiring a Senior Machine Learning Engineer to help scale and optimize high-impact production ML systems that directly drive revenue.
This role sits within a high-performing Ad Tech Optimization team focused on improving core models across ranking, bidding, personalization, and large-scale prediction systems. The infrastructure is already built – mature data pipelines, feature stores, and ML platforms are in place – and now the focus is on pushing model performance to the next level.
You’ll own the model layer end-to-end: improving features, tuning architectures, running experiments, and translating large-scale behavioral data into measurable business impact.
Ideal background:
* Ad Tech optimization
* Recommendation systems
* Search & ranking
* Marketplace optimization
* Personalization / user value modeling
* Production ML at scale
This is a high-ownership, high-visibility role with direct influence on core business performance.
To Apply for this Job Click Here
Senior AI Engineer
new york
$200000 - $200000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Senior AI Engineer
New York (in person)
Up to 200K base + bonus
I’m working on an exclusive search for a Senior AI Engineer to join a high‑calibre investment organization that is building an internal AI and data science capability from the ground up.This is a hands‑on, senior‑level engineering role with real ownership. You’ll sit close to decision‑makers and design production AI systems that directly influence how investments are sourced, evaluated, and monitored.
The opportunity
- Act as the technical lead for advanced AI and LLM‑driven systems used across investment workflows
- Own architecture and complex builds, including agentic workflows, RAG systems, and evaluation frameworks
- Lead development of high‑impact projects spanning research, diligence, portfolio monitoring, and knowledge management
- Set technical direction, review code, and mentor engineers while remaining fully hands‑on
- Partner closely with non‑technical stakeholders to translate AI capabilities into intuitive, high‑value tools
- Evaluate vendors, platforms, and infrastructure with clear build vs buy recommendations
Background they’re looking for
- 5+ years of software engineering experience, including 2+ years building production AI/ML or LLM‑based systems
- Strong Python fundamentals and experience with cloud infrastructure (AWS) and CI/CD
- Deep understanding of modern LLM patterns: embeddings, vector databases, prompt engineering, RAG, agentic systems, and evaluation
- Experience delivering end‑to‑end AI products, not just prototypes
- Comfortable leading technically in a small, high‑impact team
- Clear communicator who can work effectively with non‑technical partners
- Financial services experience is a plus, but curiosity about investment decision‑making is essential
Why this is compelling
- Rare chance to build AI platforms from scratch inside a decision‑driven environment
- Significant technical ownership and visibility at senior levels
- Small team with high expectations and real influence
- Competitive compensation and strong long‑term upside
To Apply for this Job Click Here
Applied AI Engineer
$135000 - $155000
+ Data Science & AI
PermanentUSA
To Apply for this Job Click Here
This is an opportunity to work on real-world AI applications from concept through production, leveraging the latest advancements in large language models, conversational AI, retrieval systems, and intelligent automation. The ideal candidate is a hands-on builder with recent experience deploying production-grade GenAI solutions and thrives in a fast-paced, collaborative environment.
Responsibilities
- Design, prototype, and deploy Generative AI solutions across customer-facing and internal business applications.
- Develop and optimize applications powered by large language models (LLMs), vector databases, prompt engineering techniques, and Retrieval-Augmented Generation (RAG) architectures.
- Build, deploy, and maintain AI-powered chatbots and virtual assistants, ensuring scalability, reliability, security, and compliance.
- Lead the development of AI agents for both digital and voice-based experiences, supporting real-time interactions for customers and employees.
- Evaluate, integrate, and implement third-party AI platforms, APIs, and emerging technologies to accelerate innovation and business value.
- Create proof-of-concept applications to assess new use cases such as document processing, classification, summarization, knowledge management, and workflow automation.
- Optimize prompts, model configurations, and orchestration frameworks to improve performance, accuracy, and cost efficiency.
- Partner closely with data, platform, and MLOps teams to ensure robust deployment processes, monitoring, observability, and governance practices.
- Collaborate with product managers, engineers, and business stakeholders to translate user needs into scalable AI solutions.
- Contribute to architectural discussions and establish best practices for enterprise AI adoption and integration.
Qualifications
- Bachelor’s degree in Computer Science, Data Science, Statistics, Engineering, or a related technical field.
- 6+ years of experience in AI/ML engineering, software engineering, data engineering, or natural language processing, including recent hands-on work with Generative AI and LLM-based applications.
- Demonstrated success building and deploying production-grade AI chatbots, assistants, or conversational AI solutions within the last two years.
Required Skills
- Advanced Python programming skills and experience with modern AI frameworks and libraries such as LangChain, Hugging Face, OpenAI, Transformers, or similar technologies.
- Experience working with vector databases such as Pinecone, Weaviate, Chroma, FAISS, or equivalent platforms.
- Strong understanding of RAG architectures, prompt engineering, model evaluation, API orchestration, and LLM optimization techniques.
- Solid SQL skills and experience working with cloud-based data platforms and large-scale datasets.
- Ability to operate effectively in cross-functional teams and collaborate with product, engineering, analytics, and external partners.
- Strong communication skills with the ability to explain complex AI concepts and outcomes to both technical and non-technical audiences.
Preferred Qualifications
- Experience working in highly regulated industries such as financial services, healthcare, insurance, or telecommunications.
- Hands-on experience developing voice AI, speech-enabled assistants, or conversational systems integrated with telephony platforms.
- Familiarity with modern data stack technologies, including cloud data warehouses, transformation tools, and data orchestration frameworks.
- Experience integrating AI solutions with CRM, customer service, or workflow management platforms.
- Exposure to document intelligence use cases including OCR, information extraction, summarization, semantic search, and personalized recommendations.
- Experience supporting customer-facing applications, contact center technologies, or enterprise-scale service operations.
To Apply for this Job Click Here
AI Infrastructure Engineer
New York
$180000 - $200000
+ Data Engineering
PermanentNew York
To Apply for this Job Click Here
AI Infrastructure Engineer
Location: New York (4 Days Onsite)
Base Salary: $200k + 50% bonus
This is a rare opportunity to shape the AI foundations of a complex, global organisation at a pivotal moment in its technology journey. You will play a central role in building secure, production-grade infrastructure that enables intelligent agents and AI-driven development across the business. For engineers who want to be close to real AI use cases while owning core platform decisions, this role offers genuine impact and visibility.
The Company
They are a global investment and technology-led organisation operating across multiple regions, with a strong reputation for engineering excellence and data-driven decision making. The business runs sophisticated, high-performance systems in a fast-moving environment and continues to invest heavily in modern infrastructure and AI capabilities. Collaboration, technical depth, and thoughtful system design sit at the heart of their culture. The organisation operates a hybrid working model with a strong in-office engineering presence.
The Role
You will sit within a broader infrastructure function, working closely with AI, data, and platform engineering teams to design and deliver the next generation of AI infrastructure.
- Architect and build scalable, production-grade AI infrastructure and platforms.
- Design and operate Kubernetes-based environments supporting containerised AI workloads.
- Enable intelligent agent platforms, orchestration frameworks, and secure execution environments.
- Own reliability, observability, and operational stability for AI systems in production.
- Implement governance, security, and access controls to ensure safe and compliant AI usage.
- Partner with internal engineering teams to drive adoption of AI-enabled tooling and best practices.
Your Skills & Experience
- Strong commercial experience running Kubernetes in production environments.
- Background in infrastructure engineering, SRE, or platform engineering for complex systems.
- Solid understanding of security-first design, including authentication, API security, and secure system architecture.
- Experience supporting AI or ML platforms, agent-based systems, or developer tooling is beneficial, but deep AI research experience is not required.
- Clear communicator who can work effectively with senior engineers and technical stakeholders.
What They Offer
- High-impact role building core AI infrastructure used across the organisation.
- Exposure to senior technology leadership and mission-critical systems.
- Strong investment in tooling, learning, and long-term career development.
- Hybrid working model with four days per week in the New York office.
- Please note, visa sponsorship is not available for this role.
How to Apply
Apply now to learn more about this opportunity or speak to a specialist consultant about whether this role aligns with your experience and career goals.
To Apply for this Job Click Here
Data Scientist
London
£400 - £520
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
Data Scientist
London
1 Day a Week In Office
Outside IR35
£400-£520 Per Day
Immediate Start
The Company
They are a data-driven organisation with a strong focus on using analytics to inform commercial and customer-focused decisions. Data and decision sciences play a central role across multiple functions, with close collaboration between analytics, finance and customer engagement teams. The business values robust, well-documented solutions that are actively used by stakeholders. This contract supports ongoing delivery and knowledge transfer within the data function.
The Role and Deliverables
- Take ownership of an existing retention model, ensuring accuracy, reliability and ongoing business adoption.
- Review model performance, data dependencies and assumptions, documenting any changes made during the contract.
- Build and maintain clear reporting to provide visibility of model outputs and business impact.
- Work closely with lifecycle and engagement teams to embed model outputs into decision-making processes.
- Own and stabilise an existing anomaly detection solution, addressing bugs, gaps or reliability issues.
- Deliver clear handover documentation outlining model status, limitations and recommended next steps.
Your Skills & Experience
- Strong experience building, maintaining and productionising data science and machine learning models.
- Confident working with Python in a modern analytics or data science environment.
- Solid SQL skills and experience using transformation frameworks such as dbt.
- Experience working with cloud-based data and ML platforms such as Databricks.
- Comfortable owning existing models, improving reliability and driving stakeholder adoption.
- Familiarity with version control using Git.
- Exposure to customer analytics, retention modelling or anomaly detection is beneficial.
How to Apply
Apply below if you feel this contract would be a strong fit for your skills and experience.
To Apply for this Job Click Here
Senior AI Platform Engineer
London
£95000 - £130000
+ Data Engineering
PermanentLondon
To Apply for this Job Click Here
SENIOR AI PLATFORM ENGINEER
£130,000
UK
This is an exciting opportunity to join a remote-first SaaS business at a pivotal moment in its evolution. You’ll take ownership of building AI-driven platform capabilities, working on agentic workflows and production-grade AI systems that sit at the core of how modern product teams collaborate. The role offers high autonomy, deep technical ownership, and real product impact.
THE COMPANY
Our client is a fast-growing SaaS business operating in the product and design tooling space. They build a platform used by product, design and engineering teams to document, scale and govern complex systems more effectively. The business is remote-first, highly product-led, and places a strong emphasis on quality, long-term thinking and ownership.
This role has been created as part of a strategic shift towards AI-assisted and agentic workflows, offering the chance to help define how AI is embedded across a mature, widely-used platform.
THE ROLE
- Own the design and development of an AI-driven platform supporting agentic workflows
- Build orchestration layers that respond to changes in code, documentation and design tools
- Develop reliable, production-ready AI features using modern LLM frameworks
- Work end-to-end across frontend, backend and AI platform layers
- Collaborate closely with product and design to deliver high-quality, user-focused solutions
This role is exciting because it sits at the intersection of AI, product and platform engineering, with the opportunity to shape core capabilities used by teams at scale.
YOUR SKILLS AND EXPERIENCE
- Experience building agentic AI systems and orchestration workflows in production
- Strong knowledge of LLM frameworks, retrieval systems and AI platforms
- Full-stack development experience across frontend, backend and platform layers
- Strong React experience and understanding of modern patterns
- Product-focused mindset with empathy for end users
- Experience in startup or scale-up environments with long-term ownership
- Ideally 7+ years’ experience
SALARY AND BENEFITS
- £95,000 – £130,000 base salary
- Stock options
- Pension scheme
- Fully remote working (UK-based)
- All-expensed team meet-ups in London several times per year
- Visa transfer sponsorship available
HOW TO APPLY
Please register your interest by sending your CV to Harry Lack through the ‘Apply’ link.
To Apply for this Job Click Here
Senior AI Platform Engineer
Glasgow
£110000 - £130000
+ Data Engineering
PermanentGlasgow
To Apply for this Job Click Here
Senior AI Platform Engineer
up to £130,000 + Benefits
Remote (UK based)
This is a great opportunity to join a high‑growth organisation where you can take ownership of building an AI‑driven platform that powers next‑generation design systems and agentic workflows.
THE ROLE:
You will take ownership of building and evolving AI‑powered platform capabilities, working across product, platform, and AI layers. Key responsibilities include:
- Designing and building agentic workflows that interact with codebases, documentation, and design systems
- Developing orchestration layers and AI systems that transform structured and unstructured data into scalable capabilities
- Building reliable, production‑ready AI features using modern LLM frameworks and retrieval systems
- Creating APIs and integrations that connect AI capabilities with external tools
- Collaborating closely with product and design to deliver high‑quality, user‑focused solutions end‑to‑end
YOUR SKILLS AND EXPERIENCE:
You will bring strong capability in:
- Building production‑grade AI systems, including agent workflows and orchestration layers
- Working with LLM frameworks (e.g. LangChain or similar), retrieval systems, and AI platforms
- Full‑stack engineering across frontend, backend, and platform layers
- Strong React experience with modern patterns (hooks, component architecture)
- A product‑focused mindset with a passion for user experience and high‑quality delivery
THE BENEFITS:
You will receive a salary of up to £130,000 depending on experience, along with a comprehensive benefits package.
HOW TO APPLY:
Please register your interest by sending your CV to Molly Bird via the apply link on this page.
To Apply for this Job Click Here
Senior AI Platform Engineer
Manchester
£110000 - £130000
+ Data Engineering
PermanentManchester, Greater Manchester
To Apply for this Job Click Here
Senior AI Platform Engineer
up to £130,000 + Benefits
Remote (UK based)
This is a great opportunity to join a high‑growth organisation where you can take ownership of building an AI‑driven platform that powers next‑generation design systems and agentic workflows.
THE ROLE:
You will take ownership of building and evolving AI‑powered platform capabilities, working across product, platform, and AI layers. Key responsibilities include:
- Designing and building agentic workflows that interact with codebases, documentation, and design systems
- Developing orchestration layers and AI systems that transform structured and unstructured data into scalable capabilities
- Building reliable, production‑ready AI features using modern LLM frameworks and retrieval systems
- Creating APIs and integrations that connect AI capabilities with external tools
- Collaborating closely with product and design to deliver high‑quality, user‑focused solutions end‑to‑end
YOUR SKILLS AND EXPERIENCE:
You will bring strong capability in:
- Building production‑grade AI systems, including agent workflows and orchestration layers
- Working with LLM frameworks (e.g. LangChain or similar), retrieval systems, and AI platforms
- Full‑stack engineering across frontend, backend, and platform layers
- Strong React experience with modern patterns (hooks, component architecture)
- A product‑focused mindset with a passion for user experience and high‑quality delivery
THE BENEFITS:
You will receive a salary of up to £130,000 depending on experience, along with a comprehensive benefits package.
HOW TO APPLY:
Please register your interest by sending your CV to Molly Bird via the apply link on this page.
To Apply for this Job Click Here
Senior AI Platform Engineer
City of London
£110000 - £130000
+ Data Engineering
PermanentCity of London, London
To Apply for this Job Click Here
Senior AI Platform Engineer
up to £130,000 + Benefits
Remote (UK based)
This is a great opportunity to join a high‑growth organisation where you can take ownership of building an AI‑driven platform that powers next‑generation design systems and agentic workflows.
THE ROLE:
You will take ownership of building and evolving AI‑powered platform capabilities, working across product, platform, and AI layers. Key responsibilities include:
- Designing and building agentic workflows that interact with codebases, documentation, and design systems
- Developing orchestration layers and AI systems that transform structured and unstructured data into scalable capabilities
- Building reliable, production‑ready AI features using modern LLM frameworks and retrieval systems
- Creating APIs and integrations that connect AI capabilities with external tools
- Collaborating closely with product and design to deliver high‑quality, user‑focused solutions end‑to‑end
YOUR SKILLS AND EXPERIENCE:
You will bring strong capability in:
- Building production‑grade AI systems, including agent workflows and orchestration layers
- Working with LLM frameworks (e.g. LangChain or similar), retrieval systems, and AI platforms
- Full‑stack engineering across frontend, backend, and platform layers
- Strong React experience with modern patterns (hooks, component architecture)
- A product‑focused mindset with a passion for user experience and high‑quality delivery
THE BENEFITS:
You will receive a salary of up to £130,000 depending on experience, along with a comprehensive benefits package.
HOW TO APPLY:
Please register your interest by sending your CV to Molly Bird via the apply link on this page.
To Apply for this Job Click Here
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News & Blog
With over 10 years experience working solely in the Data & AI sector our consultants are able to offer detailed insights into the industry.
Visit our Blogs & News portal or check out our recent posts below.
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