AI Engineer

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

Salary

£70,000 – £90,000 pa

Job Type
Contract
Work Location
Hybrid
Seniority
Senior
Education
Degree
Posted
12 May 2026 (2 weeks ago)

12 Month FTC Role

Senior Data Scientist (12 Month Fixed Term Contract)
London (Hybrid, 2 days per week in the office)


This is a rare opportunity to step into a senior, end to end role where you will take full ownership of high impact data science and AI projects during a critical period of transition. You will work across a genuinely mixed portfolio of traditional machine learning and modern generative AI, with real responsibility for design, deployment, and stakeholder outcomes.


The Role
You will join a blended Data Science and AI Engineering team, covering a maternity leave where projects are already live and business critical. You will own work end to end, from scoping and solution design through to production deployment and ongoing monitoring.

Key responsibilities include:

  • Owning and delivering machine learning and AI projects from problem definition to production.
  • Designing models from scratch across both structured and unstructured data use cases.
  • Building and deploying LLM based solutions including summarisation and agentic workflows.
  • Delivering traditional machine learning models using techniques such as gradient boosting.
  • Working closely with product, engineering, and business stakeholders to define requirements and trade offs.
  • Deploying models using cloud infrastructure, CI/CD pipelines, and MLOps best practices.
  • Taking responsibility for monitoring, performance, and ongoing improvement of live models.

Your Skills and Experience

  • Strong commercial data science experience with a solid grounding in classical machine learning.
  • Hands on experience deploying and owning models in production environments.
  • Good understanding of LLMs and modern AI approaches, or clear capability to apply them in production.
  • Experience working with cloud platforms and deployment pipelines, with exposure to CI/CD and MLOps.
  • Confident working end to end, from exploratory analysis through to scalable deployment.
  • Comfortable operating in regulated or complex environments.
  • Strong stakeholder management and communication skills, with the ability to translate business needs into technical solutions.

Please note, this is a 12 month FTC

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Industry Insights

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

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Where to advertise machine learning jobs UK in 2026: the specialist boards and communities that reach ML, MLOps and deep learning engineering talent. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning 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.