Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

AI Scientist

City of London
1 week ago
Create job alert

AI Scientist Role

Opportunity for an AI Scientist to join a scaling startup in the AI and Healthcare technology sector
Salary up to £130k + Equity
Paddington based (4-5 days per week in-office)
Tech environment: Python | PyTorch | TensorFlow | scikit-learn | NLP | LLMs | Data EngineeringIf you wish to keep your CV / data private, feel free to WhatsApp your details / CV to me, Dan - (phone number removed)

WHO WE ARE:

We're a rapidly growing AI-powered technology startup combining machine learning and automation to drive innovation across the healthcare. Our mission is to use advanced AI systems to streamline operations, enhance insights, and improve real-world wellbeing outcomes. Backed by strong funding and an ambitious roadmap, we're building production-grade AI solutions that make a tangible difference.

WHAT YOU WILL BE DOING:

Lead and deliver AI and machine learning projects in collaboration with cross-functional teams (engineering, product, and domain experts).
Design, develop, and deploy end-to-end ML systems, from concept to production.
Build models for intelligent automation, natural language processing (NLP), and data-driven insights.
Work with Python, PyTorch, TensorFlow, and scikit-learn to prototype and scale solutions.
Partner with senior leadership to define the AI roadmap and long-term strategy.
Optimise deployed models for performance, scalability, and reliability in real-world environments.

AI SCIENTIST - ESSENTIAL SKILLS:

Proven experience designing, training, and deploying machine learning models in production.
Strong proficiency in Python and key ML frameworks (PyTorch, TensorFlow, scikit-learn).
Deep understanding of machine learning algorithms and statistical modelling.
Ability to work independently while collaborating effectively within technical teams.
Excellent analytical, problem-solving, and communication skills.

NICE TO HAVE:

Hands-on experience with LLMs and Natural Language Processing (NLP), including fine-tuning or prompt engineering.
Familiarity with distributed computing or parallel processing (Ray, Spark, etc.).
Experience deploying models in production environments (Docker, cloud services).
Exposure to data engineering or working alongside data pipeline teams.
A genuine passion for AI innovation and real-world applications in health, petcare, or automation.

TO BE CONSIDERED…

Please either apply online or email me directly at (url removed).
By applying for this role, you are giving express consent for us to process (subject to required skills) your application to our client in conjunction with this vacancy only.

KEY SKILLS:

AI | Machine Learning | Python | PyTorch | TensorFlow | NLP | LLMs | scikit-learn | Data Engineering | Model Deployment | AI Automation

Related Jobs

View all jobs

Data Scientist, Silicon and Systems Group Edge AI

Data Scientist / Quant Engineer

AI Software Engineer

Software Engineer - Python - AI BioTech Start Up - 5 days Onsite - Up to £130k

Software Engineer - Python - AI BioTech Start Up - 5 days Onsite - Up to £130k

Senior Mechanical Engineer

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

Edge Computing Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK edge computing hiring has moved from tool‑lists to capability‑driven assessments that emphasise resilient edge architectures, real‑time data pipelines, secure device fleets, container/Kubernetes at the edge, on‑device/near‑edge ML, and measurable business impact (latency, reliability, cost‑to‑serve). This guide explains what’s changed, what to expect in interviews & how to prepare—especially for edge platform engineers, IoT/OT engineers, edge SREs, embedded/firmware engineers, edge AI/ML engineers, network engineers (5G/private LTE), security specialists & product managers. Who this is for: Edge platform/SRE, IoT solution architects, embedded/firmware developers, edge AI/ML engineers, network engineers (5G/SD‑WAN), security engineers (OT/ICS), data/streaming engineers, site deployment/field engineers & edge product managers targeting roles in the UK.

Why Edge Computing Careers in the UK Are Becoming More Multidisciplinary

For years, computing innovation was focused on the cloud. But as demand for real-time analytics, low-latency processing and secure local data handling grows, edge computing has become the next frontier. From autonomous vehicles to healthcare monitoring devices, retail checkout systems to industrial IoT, edge computing is transforming how data is processed and used in the UK. This shift has also changed what it means to work in the field. Edge computing careers are no longer purely technical. They now require knowledge of law, ethics, psychology, linguistics & design, as professionals must consider regulation, human behaviour, communication & usability alongside engineering. In this article, we’ll explore why UK edge computing careers are becoming more multidisciplinary, how these five fields intersect with edge roles, and what job-seekers & employers need to know to thrive in this evolving landscape.

Edge Computing Team Structures Explained: Who Does What in a Modern Edge Computing Department

Edge computing is expanding rapidly in the UK, driven by demands for low latency, on-site processing, IoT proliferation, autonomous systems, 5G, AI inference on devices, and regulatory pressures for data sovereignty. Businesses in sectors such as telecoms, industrial automation, retail, smart cities, autonomous vehicles, and healthcare are pushing computation and intelligence closer to where data is generated. But to design, build, deploy, secure, and maintain edge computing systems requires more than just hardware or software — it requires structured teams with clearly defined roles and responsibilities. If you’re hiring, or applying for roles via EdgeComputingJobs.co.uk, understanding who does what in a mature edge computing department will help you plan better, show relevance in job applications, and build resilient teams. This article covers the key roles in edge computing teams, how they collaborate through the project lifecycle, what skills and qualifications UK employers usually expect, salary benchmarks, challenges and trends, and best practices for structuring effective edge teams.