AI Engineer

Manchester, United Kingdom
2 weeks ago
Job Type
Permanent
Work Pattern
Full-time
Work Location
On-site
Seniority
Mid
Education
Degree
Security Clearance
Required
Posted
15 May 2026 (2 weeks ago)

Benefits

Background checks or security clearance

AI Engineer - Job Description
Position SummaryOur client's AI & Data function focuses on helping organisations solve complex business challenges through the effective use of data, artificial intelligence, and modern technology platforms.The team delivers end-to-end, business-driven solutions that integrate data, technology, and processes across organisations and their wider ecosystems, including partners, suppliers, and customers.The focus is on creating scalable, high-quality, and governed solutions that enable better decision-making, operational efficiency, and digital transformation.
The OpportunityAs an AI Engineer, you will work at the intersection of data, engineering, and artificial intelligence to build practical, scalable solutions that deliver real business value.You'll collaborate with cross-functional teams to design, develop, and deploy data pipelines, machine learning models, and AI-enabled applications that support analytics, automation, and insight generation.This role suits someone who enjoys:

  • Working with modern data and AI technologies
  • Delivering clean, reliable, production-ready solutions
  • Translating business needs into technical outcomes

Key ResponsibilitiesData Engineering & Development

  • Design, build, and maintain scalable data pipelines, datasets, and data models
  • Support analytics, reporting, and AI-driven use cases
  • Work with both structured and unstructured data sources

AI & Machine Learning

  • Develop and deploy machine learning models for:
    • Prediction
    • Classification
    • Automation
    • Insight generation
  • Support the full life cycle from experimentation through to production

Generative AI & LLM Applications

  • Develop AI-powered solutions using large language models (LLMs)
  • Apply prompt engineering and context engineering techniques
  • Build use cases such as:
    • Chatbots
    • Document processing
    • AI copilots
    • Workflow automation

Data Integration & Quality

  • Integrate data from multiple internal and external sources
  • Ensure data quality, consistency, and reliability across platforms

Collaboration & Stakeholder Engagement

  • Work closely with:
    • Business Analysts
    • Data Analysts
    • Product teams
  • Translate business requirements into scalable technical solutions
  • Communicate technical concepts clearly to non-technical stakeholders

Testing, Monitoring & Optimisation

  • Implement testing, validation, and monitoring processes
  • Ensure:
    • Data accuracy
    • Model performance
    • System reliability
  • Optimise pipelines, storage, and models for performance and scalability

Documentation & Governance

  • Produce clear technical documentation (pipelines, models, logic)
  • Follow best practices around:
    • Data governance
    • Security
    • Privacy
    • Compliance

Skills & ExperienceEssential

  • Experience in a similar role (AI Engineer, Data Engineer, Machine Learning Engineer, or Data Developer)
  • Strong programming skills (Python, SQL or similar)
  • Experience building and maintaining data pipelines
  • Working with structured and unstructured data

Desirable

  • Experience with machine learning frameworks (e.g. TensorFlow, PyTorch, scikit-learn)
  • Exposure to Generative AI tools/frameworks (e.g. LLMs, LangChain)
  • Experience with cloud platforms (Azure, AWS, or GCP)
  • Familiarity with data platforms, data warehouses, or big data technologies

Soft Skills

  • Strong analytical and problem-solving ability
  • Attention to detail and commitment to quality
  • Ability to communicate technical ideas effectively
  • Experience working in Agile environments

Additional Requirements

  • Candidates may be required to undergo background checks or security clearance depending on client/project requirements.

About the TeamYou'll be working within a collaborative technology and data environment focused on delivering transformation for clients across multiple industries.The team combines deep technical expertise with innovative thinking to help organisations modernise their data and AI capabilities, unlock value, and improve outcomes for customers, employees, and stakeholders.

Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk

Related Jobs

View all jobs

AI Engineer

Via Match Ec2R7Bh, EC2R 7BH, United Kingdom
£80,000 – £110,000 pa Hybrid

AI Engineer

Harnham - Data and Analytics Recruitment London, United Kingdom
£70,000 – £90,000 pa Hybrid

AI Engineer

Yolk Recruitment Cardiff, Cymru / Wales, CF10 2AF, United Kingdom
£75,000 – £82,000 pa Hybrid

AI Engineer

SF Partners B12Jt, B1 2JT, United Kingdom
£60,000 – £70,000 pa Hybrid

AI Engineer

Robert Walters Bolton, United Kingdom
£50,000 – £55,000 pa On-site

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise Cloud Computing Jobs in the UK (2026 Guide)

Where to advertise cloud computing jobs UK in 2026: the specialist boards and channels that reach AWS, Azure, GCP and cloud-native engineering talent. The candidate pool is large relative to other deep tech disciplines but highly segmented — cloud architects, DevOps engineers, platform engineers, FinOps specialists and cloud security professionals each occupy distinct communities with different job search behaviours, certification profiles and salary expectations. General job boards reach a broad audience but struggle to differentiate between these disciplines, producing high application volumes but low candidate quality for specialist cloud roles. This guide, published by CloudComputingJobs.co.uk, covers where to advertise cloud computing roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Cloud Computing Jobs UK 2026: What to Expect Over the Next 3 Years

Cloud Computing Jobs UK 2026: salaries, hiring trends and the AWS, Azure and GCP skills shaping UK cloud careers over the next three years. Cloud computing is the infrastructure layer on which the modern digital economy runs — and the jobs market that has grown around it is one of the largest, most sustained, and most structurally resilient in the entire technology sector. But the cloud computing jobs market of 2026 looks quite different from the one that existed three years ago, and the next three years will bring further change at a pace that rewards those who understand the direction of travel. The migration phase that defined cloud hiring for much of the previous decade is largely complete for enterprise organisations. The question for most UK businesses is no longer whether to move to the cloud but how to operate, optimise, and secure what they have already built there — and how to integrate the wave of AI capability that is now being delivered primarily through cloud infrastructure. That shift has profound implications for which cloud skills are in demand, which roles are growing, and which are beginning to plateau. At the same time, new architectural patterns — multi-cloud, cloud-native, serverless, and the growing integration of edge computing with centralised cloud infrastructure — are creating entirely new categories of specialist expertise that employers are actively competing to hire. The cloud computing jobs market of 2026 is not contracting. It is evolving, and evolving in ways that create significant opportunity for job seekers who are building the right skills. This article breaks down what the UK cloud computing jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.