Medtronic Logo

Medtronic

Senior Artificial Intelligence Engineer

Posted Yesterday
Be an Early Applicant
In-Office
London, Greater London, England
Senior level
In-Office
London, Greater London, England
Senior level
Design, implement, benchmark, and optimize machine learning and computer vision models for low-latency edge and cloud deployment. Develop real-time surgical video processing pipelines, improve network architectures, write high-quality production code, and collaborate with machine learning, platform, embedded software, and research teams. The role also involves researching state-of-the-art optimization methods and communicating results across technical and business stakeholders.
The summary above was generated by AI

Careers that change lives start here. Medtronic is a global leader in healthcare technology with a Mission to alleviate pain, restore health, and extend life. Our 95,000 employees work across more than 150 countries to put patients first — developing innovative medical technologies that improve the lives of 72+ million patients each year. Your unique talents will help shape the future of healthcare while building a career grounded in purpose, growth, and impact.

A Day in the Life

Medtronic Digital Technologies is creating ambitious new products that bring connectivity, real-time guidance, and decision support to the operating room. To support this mission, we are developing compact, high-performance, embedded systems that enable edge computing and connectivity. Working closely with other teams across Medtronic, we are creating a connected ecosystem and leveraging the state of the art in computer vision to provide the most comprehensive view of surgery. If you’re interested in using cutting-edge technology to improve the standard of care in surgery on a global scale, this could be the place for you.


As a Senior Artificial Intelligence Engineer, focused on algorithm optimization, you will help to design, implement, and optimize Machine Learning models to achieve low latency on edge and cloud devices. You will become part of a talented team exploring new concepts through fast iterative prototyping. You will collaborate as an AI optimization expert with our other machine learning engineers, platform engineers, embedded software engineers and research experts of the team.


Primary Responsibilities:
  • Benchmarking and optimizing different existing network architectures and their latency in different target platforms.
  • Further re-designing or optimizing existing network architectures to improve their forward flow and reduce latency.
  • Developing production pipelines in the cloud or edge devices to process surgical videos in real-time with our optimized models.
  • Delivering well-written and high-quality code.
  • Sharing results during regular meetings.
  • Staying updated with state-of-the-art methods and propose novel approaches for problems at hand (we try to devote time to do research and share it with the team).

Required Qualifications:
  • A Master or PhD in, Computer Science, Mathematics, Computer Vision/Machine Learning or similar related field.
  • Proven ability to design and build computer vision networks using Pytorch.
  • Knowledge of different optimization methods (e.g. pruning, sparsity, quantization etc..).
  • Experience with AI optimization tools (e.g. TensorRT).
  • Very knowledgeable in Python and relevant numerical libraries (numpy, scikit-learn, opencv, etc.).
  • Experience with CI/CD pipelines.
  • Computer Vision.

Preferred Qualifications:
  • Advanced knowledge on AI-based optimization methods (QAT, Knowledge Distillation, Network Sparsification etc..).
  • Knowledge of AWS cloud and experience with their services (EKS, ECS, ...) and docker.
  • Knowledge of C++ and CUDA, and ideally experience writing custom kernels / operators.
  • Data visualization experience would also be useful for this role.
  • Excellent communicator - You are comfortable talking with programmers, marketers, surgeons, business leaders, and everyone in-between.
  • Experience of working in video processing or equivalent performance sensitive or high-performance applications.


Physical Job Requirements
The above statements are intended to describe the general nature and level of work being performed by employees assigned to this position, but they are not an exhaustive list of all the required responsibilities and skills of this position. 

‌

‌



Recruitment Fraud Alert 

We are aware of phishing scams targeting job seekers. Please keep the following in mind: 


Apply only through official Medtronic channels. All legitimate Medtronic recruiting communications come from approved Medtronic platforms and official @medtronic.com email addresses. 


Medtronic will never ask for payment or sensitive personal information (such as bank account or Social Security details) during early stages of the hiring process. Any such requests are not legitimate. 


If you receive a suspicious message claiming to be from Medtronic, do not respond, click links, or open attachments. 


If you have any questions, concerns regarding the authenticity of a communication alleged to have been made by or on behalf of Medtronic, please contact us immediately at [email protected]. 

Benefits & Compensation

Medtronic offers a competitive Salary and flexible Benefits Package
A commitment to our employees lives at the core of our values. We recognize their contributions. They share in the success they help to create.  We offer a wide range of benefits, resources, and competitive compensation plans designed to support you at every career and life stage.
 


Pay range / Rango salarial / Intervalo salarial /Fascia retributiva / Tranche de salaire / Gehaltsband / Salaribereik:  United Kingdom: 76,800.00 GBP - 115,200.00 GBP | 
The final salary within this range will be determined based on objective, job-related criteria, including relevant experience, skills and qualifications, in accordance with our compensation framework.

‌

This position is eligible for a short-term incentive called the Medtronic Incentive Plan (MIP).

Similar Jobs

Yesterday
Hybrid
Senior level
Senior level
eCommerce • Retail
Design and industrialize production-grade AI and LLM platforms for ASOS. Build RAG systems, fine-tuned models, agentic workflows, orchestration layers, evaluation frameworks, vector retrieval pipelines, and AI safety guardrails on Azure. Develop reusable capabilities that scale across teams, optimize performance, cost, and reliability, and partner with security stakeholders on governance and responsible AI.
Top Skills: Azure Ai StudioAzure Cognitive ServicesAzure Kubernetes Service (Aks)Azure Machine LearningAzure OpenaiCi/CdEmbeddingsFine-TuningLangchainLlmopsLlmsMlopsMulti-Agent OrchestrationPythonRetrieval-Augmented Generation (Rag)Semantic KernelTransformer ModelsVector Search
2 Days Ago
Remote or Hybrid
United Kingdom
Senior level
Senior level
Artificial Intelligence • Information Technology • Consulting
Build and deploy production-grade AI solutions, including LLM agents, multi-agent workflows, RAG systems, classical ML, and speech models. Develop reliable, secure, observable, and scalable AI platforms using strong software engineering and MLOps practices. Own solutions from client scoping through monitoring and continuous improvement, collaborate with technical and business stakeholders, mentor engineers, and drive innovation in enterprise AI.
Top Skills: A/B TestingA2AArgo CdAsyncioAWSAzureCanary DeploymentsCi/CdClassical Machine LearningCnnDockerFastapiGCPGithub ActionsGitlab CiKserveKubernetesLlmsLstmMcpMilvusMlopsModel QuantizationNosql DatabasesParallelizationPineconePydanticPythonRagRelational DatabasesSpeech ModelsTerraformTgiTransformersVllmWeaviate
2 Days Ago
In-Office
Senior level
Senior level
Artificial Intelligence • Fintech • Software • Financial Services
Build and maintain scalable AI platform infrastructure, frameworks, libraries, and services supporting multiple engineering teams. Develop AI applications using LLMs, RAG, agentic architectures, prompt engineering, guardrails, and evaluation frameworks. Improve reliability, observability, monitoring, incident management, cost efficiency, developer experience, and safe deployment of AI-powered products while partnering with product and engineering teams.
Top Skills: Agent Development Kit (Adk)Ai Evaluation FrameworksAi GuardrailsAWSBigQueryCrewaiFastapiFirestoreGoogle Cloud Platform (Gcp)GrafanaIncident.IoLangchainLangfuseLanggraphLarge Language Models (Llms)AzurePostgresPrometheusPrompt EngineeringPythonRabbitMQRetrieval-Augmented Generation (Rag)SentryTerraform

What you need to know about the Manchester Tech Scene

Home to a £5 billion digital ecosystem, including MediaCity, which consists of major players like the BBC, ITV and Ericsson, Manchester is one of the U.K.'s top digital tech hubs, at the forefront of advancements in film, television and emerging sectors like as e-sports, while also fostering a community of professionals dedicated to pushing creative and technological boundaries.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account