Future Tech Jobs Future Tech Jobs

AI Engineer

Robert Half
London, United Kingdom
5 days ago
Job Type
Contract
Work Location
Hybrid
Seniority
Mid
Education
Degree
Posted
26 May 2026 (5 days ago)
Share
Save job
Create job alert

Robert Half Technology are assisting a leading sports media organisation to recruit an AI Engineer on a 6-month contract basis. ASAP start. Outside IR35. Hybrid working - London based.

Role

* The AI Engineer will design, develop, and deploy scalable AI and machine learning solutions across digital sports media platforms.
* Collaborate with product, data, and engineering teams to deliver AI-driven features and audience engagement tools.
* Build and optimise LLM-powered applications, recommendation systems, and intelligent content workflows.
* Develop and maintain robust data pipelines and model deployment infrastructure.
* Implement monitoring, evaluation, and governance processes for AI systems to ensure reliability and performance.
* Work with structured and unstructured datasets including video, social, audience, and editorial content.
* Optimise AI models and inference pipelines for scalability, latency, and cost efficiency.
* Troubleshoot and resolve issues across AI systems, APIs, and production environments.
* Keep abreast of emerging AI technologies, industry trends, and best practices within sports media and entertainment.

Profile

* The AI Engineer will have strong experience developing and deploying machine learning and generative AI solutions in production environments.
* Strong Python engineering skills with experience using frameworks such as PyTorch, TensorFlow, LangChain, or similar.
* Experience working with LLMs, prompt engineering, vector databases, and retrieval augmented generation (RAG) architectures.
* Strong knowledge of cloud platforms including AWS or Azure.
* Experience with data engineering and orchestration tools such as Databricks, Airflow, Docker, and Kubernetes is desirable.
* Must have previous experience working within a small to medium-sized business (SME), start-up, or scale-up environment.
* Comfortable operating in fast-paced, evolving businesses with changing priorities and hands-on delivery expectations.
* Strong understanding of APIs, microservices, and scalable backend systems.
* Excellent problem-solving and analytical skills with strong attention to detail.
* Strong communication and stakeholder management skills, with the ability to work effectively in cross-functional teams.
* Previous experience within media, sports, broadcasting, or digital content environments would be advantageous.

Company

* Leading sports media organisation with offices in London
* Hybrid working environment
* Fast-paced, collaborative, and technology-driven culture

Salary & Benefits

The salary range/rates of pay is dependent upon your experience, qualifications or training.

Robert Half Ltd acts as an employment business for temporary positions and an employment agency for permanent positions. Robert Half is committed to diversity, equity and inclusion. Suitable candidates with equivalent qualifications and more or less experience can apply. Rates of pay and salary ranges are dependent upon your experience, qualifications and training. If you wish to apply, please read our Privacy Notice describing how we may process, disclose and store your personal data:

Related Jobs

View all jobs

AI Engineer

Opus Recruitment Solutions London, United Kingdom
£60,000 – £70,000 pa Remote

AI Engineer

Hays Technology Manchester, United Kingdom
On-site Clearance Required

AI Engineer

Boss Professional Services London, United Kingdom
£80,000 – £100,000 pa Permanent

AI Engineer

Lynx Recruitment Sw1E5Lb, SW1E 5LB, United Kingdom
£50,000 – £65,000 pa On-site

AI Engineer

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

AI Engineer

Robert Half London, United Kingdom
Hybrid

Industry Insights

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

Products

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Where to advertise data science jobs UK in 2026: the specialist boards, communities and channels that actually reach senior and lead data science talent. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science 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.

Jobs

Data Science Jobs UK 2026: What to Expect Over the Next 3 Years

Data Science Jobs UK 2026: roles, salaries and the trends shaping UK data science hiring over the next three years — from MLE crossover to GenAI workflows. Data science has spent the past decade being described as the sexiest job of the twenty-first century. By 2026, the reality is both more nuanced and more interesting than that label ever suggested. The discipline has matured, fragmented, deepened, and in some respects reinvented itself — and the jobs market has changed with it in ways that create genuine opportunity for those who understand what employers actually want, and genuine difficulty for those still operating on assumptions formed five years ago. The data science jobs market of 2026 is not simply a larger version of what it was three years ago. The generalist data scientist — equally comfortable wrangling data, building models, and presenting insights to the board — is giving way to a more specialised landscape where employers know exactly what problem they are trying to solve and are looking for candidates with the specific depth to solve it. Machine learning engineering, causal inference, experimentation, AI product development, and domain-specific applied science have all emerged as distinct career tracks within what was previously a single, loosely defined profession. At the same time, the arrival of large language models and the broader AI capability wave has both threatened and created data science roles in equal measure. Some of the work that junior data scientists spent their early careers doing — data cleaning, exploratory analysis, basic model building — is being partially automated by AI tooling. But the demand for practitioners who can evaluate AI systems rigorously, apply statistical thinking to complex business problems, and build the data foundations on which AI depends has grown considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what data scientists are expected to build and know, and how to position a data science career that will remain valuable as the field continues to evolve around them. This article breaks down what the UK data science 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.

🍪 Basic, anonymous analytics (aggregate counts only, never shared) are always on. Accept to also enable third-party tools — Google Analytics, Microsoft Clarity, Mixpanel, Leadfeeder — which help us match you with relevant Data Science roles. We never sell your data or use it for cross-site advertising. See our Cookie Policy.