AI Computer Vision Engineer / AI Integration Engineer

Rise Technical Recruitment
South West London, United Kingdom
4 days ago
£46,000 – £56,000 pa

Salary

£46,000 – £56,000 pa

Job Type
Permanent
Work Location
Hybrid
Seniority
Mid
Education
Degree
Posted
27 May 2026 (4 days ago)

Benefits

39 days holiday Exceptional pension Hybrid working Leading training & development

AI Computer Vision Engineer / AI Integration Engineer

£46,000 - £56,000 + Exceptional Pension + 39 Days Holiday + Hybrid Working + Leading Training & Development + Cutting Edge Technology Projects

Hybrid role, Central London 3 days on site


Are you an AI Engineer, Computer Vision Engineer, Machine Learning Engineer or AI Integration Engineer looking for the opportunity to work on genuinely cutting-edge AI applications that are shaping the future of immersive education, XR and interactive media?

Do you want to work on real-world AI systems at the forefront of interactive media, showcasing your skillset and continuing your development as part of a close knit team of experts all whilst working for one of the highest regarded businesses globally?

This is a rare opportunity to join a world-leading institution at the forefront of research, engineering and digital innovation, where you will play a key role in developing next-generation AI systems for interactive and immersive experiences.

You will be involved in developing systems for object detection, tracking, gesture recognition and real-time spatial understanding, whilst integrating AI into interactive applications and immersive XR environments working closely alongside developers, DevOps specialists, designers and interactive media experts to prototype, build and deploy production-ready AI systems, with the freedom to experiment, research emerging technologies and influence future innovation.

This role would suit an AI Engineer, Machine Learning Engineer, Computer Vision Engineer, AI Integration Engineer or similar with strong Python and Computer Vision experience, looking to work on technically fascinating projects with genuine real-world impact.

The Role:

*Design, develop and deploy Computer Vision systems for real-time interactive applications
*Develop AI models for object detection, tracking, segmentation and spatial understanding
*Integrate AI systems into game engines such as Unity or Unreal Engine
*Prototype and evaluate emerging AI technologies, frameworks and proof-of-concepts
*Hybrid role based in South Kensington, London

The Person:

*AI Engineer / Computer Vision Engineer / Machine Learning Engineer / AI Integration Engineer or similar
*Strong Python experience with AI / ML frameworks such as PyTorch or TensorFlow
*Experience with Computer Vision, real-time AI systems or applied Machine Learning
*Exposure to Unity, Unreal Engine, XR, Spatial Computing or Interactive Media desirable
*Experience with APIs, AI integrations or deploying AI models advantageous
*Looking to work on highly innovative projects within a collaborative R&D environment

Rise Technical Recruitment Ltd acts an employment agency for permanent roles and an employment business for temporary roles.

The salary advertised is the bracket available for this position. The actual salary paid will be dependent on your level of experience, qualifications and skill set and will be decided by our client, the employer. Rise are not responsible or liable for any hiring decisions made by the end client.

We are an equal opportunities company and welcome applications from all suitable candidates.

Related Jobs

View all jobs

AI Implementation Engineer

Adria Solutions Manchester, United Kingdom
£50,000 – £85,000 pa Hybrid

Senior Research Engineer - Interactive Avatars

Synthesia London, United Kingdom
Remote

Forward Deployed AI Engineer

Palantir Technologies United States
Hybrid

Machine Learning Engineer (Computer Vision)

Matchtech Surrey, United Kingdom
Hybrid

Lead Computer Vision Engineer

Faculty AI London, United Kingdom
Remote Clearance Required

Computer Vision Engineer

Faculty AI London, United Kingdom
Hybrid Clearance Required

Industry Insights

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

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.

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.