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AI and Automation Contractors for Practical Technology Delivery

AI and automation programmes often become difficult when a promising idea has to operate inside a real organisation. The technology must work with existing systems, established controls and data that may not yet be ready for the demands being placed on it. It also needs to improve the way work is carried out without creating new problems elsewhere.

Talent Today recruits experienced contractors across applied AI, machine learning, intelligent automation, RPA, AI product delivery, architecture and governance. We understand the distinction between exploring an opportunity and building something that can be introduced, operated and trusted at scale. The experience needed to test a use case is different from the experience required to move it into a live environment and establish what will support it over time.

Our conversations examine what each contractor has personally built or implemented and how the work performed once it moved beyond the initial concept. We explore the decisions they made when technical ambition met practical constraints, together with how they approached risk, integration and the people affected by the change. Clients receive a focused shortlist with a clear understanding of the experience each contractor brings and how it relates to the stage, purpose and complexity of the work.

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Discuss an ai or automation requirement

AI and Automation Roles We Recruit

AI and automation work brings together several distinct areas of expertise. An organisation testing a generative AI use case may need very different experience from one introducing automation across established operations or moving a machine learning model into production. We define each search around the stage of the work and the responsibility the contractor will take once appointed.

  • Applied AI and Generative AI

    We recruit contractors who can turn AI capabilities into applications that serve a clear operational or commercial purpose. Their work may involve generative AI, large language models, intelligent assistants, retrieval systems or the development of new AI-enabled products and services.

    Typical roles: AI Engineers, Generative AI Engineers, Applied AI Specialists, LLM Engineers and AI Consultants.

  • Machine Learning and MLOps

    Machine learning contractors develop, improve and operationalise models within live technology environments. We recruit people who understand the full path from experimentation and model development through to deployment, monitoring and continued performance.

    Typical roles: Machine Learning Engineers, MLOps Engineers, Applied Machine Learning Specialists, Model Deployment Engineers and ML Platform Engineers.

  • Intelligent Automation and RPA

    Automation contractors help organisations redesign repetitive or resource-intensive work using technology that can be maintained and governed properly. We recruit across robotic process automation, workflow automation and wider programmes combining automation with AI.

    Typical roles: Automation Engineers, RPA Developers, Intelligent Automation Consultants, Process Automation Specialists and RPA Architects.

  • AI Product and Programme Delivery

    AI initiatives need experienced people who can bring technical, operational and business teams around a credible route to delivery. We recruit contractors who can shape use cases, establish priorities and manage the movement from early exploration into implementation.

    Typical roles: AI Product Managers, AI Programme Managers, AI Delivery Leads, Automation Programme Managers and AI Business Analysts.

  • AI Architecture and Integration

    AI capabilities must operate within the organisation’s existing applications, data platforms, security controls and infrastructure. We recruit architects who can design those connections and make decisions that remain practical once engineering and implementation begin.

    Typical roles: AI Architects, AI Solution Architects, Machine Learning Architects, Automation Architects and AI Integration Consultants.

  • AI Governance, Risk and Responsible Implementation

    As AI becomes part of live operations, organisations need people who can establish appropriate oversight and examine how systems are being developed and used. We recruit contractors across responsible AI, model risk, governance, assurance and regulatory readiness.

    Typical roles: AI Governance Leads, Responsible AI Specialists, AI Risk Consultants, Model Risk Managers and AI Assurance Consultants.

AI and Automation Assignments We Support

AI and automation work can begin with a promising use case, but reaching a dependable result calls for much more than technical experimentation. The organisation needs to establish whether the idea is viable, prepare the systems and data around it, and decide how the finished capability will be introduced and governed. We recruit contractors for each stage of that work.

  • Generative AI and Intelligent Applications

    We support organisations developing AI assistants, retrieval-based systems and other applications built around large language models. These assignments may involve early technical validation, product development or improving an existing solution that is ready to move beyond a limited pilot.

  • Machine Learning Implementation

    Moving a model into regular use introduces questions around deployment, monitoring and continued performance. We recruit contractors who can connect model development with the engineering and operational work required to run it reliably.

  • Process Automation and RPA

    We recruit specialists for programmes designed to reduce repetitive work and improve the movement of information across teams and systems. Their experience may include workflow automation, robotic process automation or more advanced solutions combining automation with AI.

  • AI Proofs of Concept and Pilot Delivery

    A well-run pilot should help an organisation decide whether an opportunity deserves further investment. We identify contractors who can test the idea against the available data, technology and operating environment, while producing evidence that supports a credible decision about what happens next.

  • AI Integration and Platform Development

    AI capabilities often need to connect with established applications, cloud platforms, data environments and security controls. We recruit architects and engineers who can design those connections and build the technical foundations needed for wider adoption.

  • AI Governance and Operational Readiness

    Introducing AI into live processes requires clear ownership and appropriate oversight. We support work involving governance frameworks, model risk, assurance and the practical controls needed to manage AI responsibly once it becomes part of everyday operations.

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How We Assess AI and Automation Contractors

AI experience can be difficult to judge because early experimentation, advisory work and live implementation are often presented in similar terms. We establish exactly where a contractor became involved, what they were responsible for and how far the work progressed during their assignment. This gives us a clearer view of whether their experience is suited to exploration, implementation or the demands of operating AI at scale.

Progress Beyond the Initial Concept

A successful demonstration does not necessarily show that a solution can perform reliably in regular use. We examine whether the contractor helped move the work into production, how it behaved once introduced and what was needed to make it dependable beyond a controlled pilot.

Technical Decisions and Practical Constraints

We discuss the choices contractors made around models, data, architecture and integration, together with the limitations they had to work through. Particular attention is given to how they handled security, cost, performance and the realities of the organisation’s existing technology environment.

Responsibility Once the System Was Live

Production AI and automation require monitoring, maintenance and a clear response when outputs or processes do not behave as expected. We explore how contractors approached operational ownership, human oversight and the transfer of knowledge to the teams responsible for the system after implementation.

Understanding the Work Being Changed

The value of AI or automation depends on how well it fits the process and the people using it. We consider whether contractors can understand the operational problem, work constructively with the teams affected and explain where the technology will provide genuine benefit, as well as where it may not be the right answer.

Clients receive a focused shortlist with a clear account of what each contractor has delivered and how that experience relates to the stage of the assignment. Where video shortlisting is appropriate, it also provides an earlier view of how they explain complex decisions and communicate their judgement.

See how our recruitment process works

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AI and Automation Recruitment FAQs

Which AI and automation contractors do you recruit?

We recruit across applied AI, generative AI, machine learning, MLOps, intelligent automation, RPA, AI architecture, product delivery and governance. This includes individual specialists as well as several contractors supporting the same programme.

Can you recruit contractors for generative AI and large language model projects?

Yes. We recruit AI engineers, LLM engineers, architects and product specialists for work involving intelligent assistants, retrieval-based systems and other generative AI applications. We consider the intended use, the available data and the technical environment surrounding the solution when defining the search.

Can you support an AI proof of concept or pilot?

Yes. We support organisations exploring whether an AI opportunity is technically and commercially credible. The contractors we introduce can help test the use case, examine the available data and establish what would be required to move the work beyond an initial demonstration.

Do you recruit contractors who can move AI into production?

Yes. We recruit machine learning engineers, MLOps specialists, AI engineers and architects who understand the work required after experimentation. This may include integration, deployment, monitoring, model performance and the operational arrangements needed to support the system once it is live.

Do you recruit RPA and intelligent automation contractors?

Yes. We recruit contractors for robotic process automation, workflow improvement and wider intelligent automation programmes. Assignments may involve developing new automations, improving an established estate or examining whether existing processes remain suitable for automation.

Can you support AI governance and responsible implementation?

Yes. We recruit specialists across AI governance, model risk, assurance and responsible AI. Their work may involve establishing oversight, examining how systems are being used and helping organisations introduce appropriate controls around live AI capability.

What information do you need to begin an AI or automation search?

A completed job specification is not essential. We need to understand the opportunity being explored, the stage the work has reached and what the contractor will be expected to take ownership of. The available data, existing technology environment and intended business use will also help shape the requirement.

How quickly can you provide a shortlist?

Talent Today typically provides a focused shortlist within 24 to 48 hours. The precise timing depends on the specialism, the maturity of the requirement and the availability of contractors with experience that relates closely to the work.

Do you recruit for inside and outside IR35 engagements?

Yes. We support inside and outside IR35 requirements. In most cases where the off-payroll rules apply, the client is responsible for determining the contractor’s employment status for tax and issuing a status determination statement.

Do you remain involved after the contractor starts?

Yes. We stay in contact with the client and contractor throughout the engagement, maintaining continuity as the work develops and supporting conversations around changing priorities, extensions or any concerns that arise.

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Discuss an AI or Automation Requirement

AI and automation requirements are often still taking shape when specialist support becomes necessary. Tell us what the organisation is exploring, how far the work has progressed and where additional experience would make the greatest difference.

We will help clarify the capability required and introduce contractors with experience suited to the technical work, the operating environment and the stage the programme has reached.

Discuss a requirement