Artificial Intelligence Engineer

Impax Recruitment
Liverpool
1 month ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer (UK) (Basé à London)

Machine Learning Engineer (UK)

ML/AI Software Engineer

Senior Data Engineer - Snowflake & AWS

Lead Innovation Engineer

Full Stack Engineer

Location:Remote

Employment Type:Full-time | Permanent

Industry:Medical AI | Dental Imaging | Prosthetics


About the Role

This is an exciting opportunity to be thefirst hirein a brand-newAI/ML team, focused onmedical imaging and CBCT scan analysis. The company plans toexpand to 3 teams of 4 (12 total AI engineers), and you will play akey role in shaping the team, tech stack, and development process.


As thefirst AI/Machine Learning Engineer, you will buildAI-driven imaging solutions for dental, prosthetics, and medical applications, working withConvolutional Neural Networks (CNNs) and 3D medical imaging. You will behands-on, working with medical imaging data, training deep learning models, and collaborating with engineers and medical experts to develop cutting-edge solutions.


Key Responsibilities

Build and train AI modelsforCBCT scans, 3D medical image segmentation, and reconstruction.

Work with large-scale 3D medical datasets(CBCT, X-ray, MRI) to improve image analysis.

Optimise AI modelsfor real-time medical applications and accuracy improvements.

Develop AI-based automation toolsto assist indental and prosthetic modelling.

Process, clean, and integrate medical imaging datafor deep learning pipelines.

Collaborate with the CTO and future AI teamto define best practices and AI development strategies.

Ensure compliance with medical AI regulations(FDA, MDR, IVDR) and AI-driven Software as a Medical Device (SaMD).


Required Skills & Experience

Strong experience in AI & Machine Learning– Specialised inComputer Vision, CNNs, and Deep Learning.

Medical imaging experience– Worked withCBCT scans, X-rays, MRIs, or other 3D imaging technologies.

Programming skills– Proficiency inPython, TensorFlow, PyTorch, OpenCV, and C++.

Data handling– Experience inprocessing, annotating, and managing large-scale medical datasets.

Regulatory knowledge– Understanding ofAI in medical devices (FDA 510k, MDR, IVDR compliance).

Strong problem-solving mindset– Ability to innovate and optimise AI models for real-world applications.


Preferred Qualifications

PhD/Master’s in AI, Computer Vision, Biomedical Engineering, or related fields.

Experience working with dental imaging, prosthetics, or radiology AI.

Previous experience in a startup or leading an AI research team.


Why Join Us?

Be the first AI hire– Shape the AI team andplay a crucial role in building a world-class AI department.

Flexible work environment– Remote-first role withfully covered travel for interviews.

Competitive salary & benefitsbased on experience.

Work on groundbreaking AI-driven medical imaging solutionsthat improve patient outcomes.

Opportunity to lead– Potential to mentor andgrow into a senior/team lead positionas we expand to 12 AI engineers.

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

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

Contract vs Permanent Machine Learning Jobs: Which Pays Better in 2025?

Machine learning (ML) has swiftly become one of the most transformative forces in the UK technology landscape. From conversational AI and autonomous vehicles to fraud detection and personalised recommendations, ML algorithms are reshaping how organisations operate and how consumers experience products and services. In response, job opportunities in machine learning—including roles in data science, MLOps, natural language processing (NLP), computer vision, and more—have risen dramatically. Yet, as the demand for ML expertise booms, professionals face a pivotal choice about how they want to work. Some choose day‑rate contracting, leveraging short-term projects for potentially higher immediate pay. Others embrace fixed-term contract (FTC) roles for mid-range stability, or permanent positions for comprehensive benefits and a well-defined career path. In this article, we will explore these different employment models, highlighting the pros and cons of each, offering sample take‑home pay scenarios, and providing insights into which path might pay better in 2025. Whether you’re a new graduate with a machine learning degree or an experienced practitioner pivoting into an ML-heavy role, understanding these options is key to making informed career decisions.

Machine‑Learning Jobs for Non‑Technical Professionals: Where Do You Fit In?

The Model Needs More Than Math When ChatGPT went viral and London start‑ups raised seed rounds around “foundation models,” many professionals asked, “Do I need to learn PyTorch to work in machine learning?” The answer is no. According to the Turing Institute’s UK ML Industry Survey 2024, 39 % of advertised ML roles focus on strategy, compliance, product or operations rather than writing code. As models move from proof‑of‑concept to production, demand surges for specialists who translate algorithms into business value, manage risk and drive adoption. This guide reveals the fastest‑growing non‑coding ML roles, the transferable skills you may already have, real transition stories and a 90‑day action plan—no gradient descent necessary.

Quantexa Machine‑Learning Jobs in 2025: Your Complete UK Guide to Joining the Decision‑Intelligence Revolution

Money‑laundering rings, sanctioned entities, synthetic identities—complex risks hide in plain sight inside data. Quantexa, a London‑born scale‑up now valued at US $2.2 bn (Series F, August 2024), solves that problem with contextual decision‑intelligence (DI): graph analytics, entity resolution and machine learning stitched into a single platform. Banks, insurers, telecoms and governments from HSBC to HMRC use Quantexa to spot fraud, combat financial crime and optimise customer engagement. With the launch of Quantexa AI Studio in February 2025—bringing generative AI co‑pilots and large‑scale Graph Neural Networks (GNNs) to the platform—the company is hiring at record pace. The Quantexa careers portal lists 450+ open roles worldwide, over 220 in the UK across data science, software engineering, ML Ops and client delivery. Whether you are a graduate data scientist fluent in Python, a Scala veteran who loves Spark or a solutions architect who can turn messy data into knowledge graphs, this guide explains how to land a Quantexa machine‑learning job in 2025.