Lead IoT ML Engineer - AI Machine Learning Principal Data Scientist

Attis Global
London
8 months ago
Applications closed

Related Jobs

View all jobs

Lead Data Scientist – Telematics & ML Leader (Flexible)

Lead Data Scientist

Lead Data Scientist

Lead Data Scientist

Lead Data Scientist

Lead Data Scientist

Job Description

Lead IoT ML Engineer AI / Machine Learning / Principal Data Scientist

Lead IoT ML Engineer urgently needed to join a wellbacked and growing startup in London. The company are seen as a future pioneer in the IoT and MLOps space and already revolutionising the way we work with AI and IoT devices.

As well as a competitive salary ofup to circa 110kper year you will also get:

  • Serious equitybenefitspackage
  • Digital nomad benefit take 6 weeks working from anywhere in theworld
  • 28 days holiday bank holiday
  • The chance to make your mark on an industryleadingproduct
  • Support from a diverse team of both tech and industry experts /enthusiasts
  • Stay handson whilst working with AI and ML on the very edge!

Your responsibilities will include:

  • Product design and developmentvia ML and software engineering
  • Define the requirements with the Product Manager
  • Building on and improving the current productfutureproofingmaintainingand evolving it
  • Be customerfacing the product is highlytechnicalso the sales team rely on you for technical backing
  • Leading a small team of analysts/engineers75 handson 25 leadership & client facing).

To be successful in this role you should have:

  • Proven ML Product development experience in a startup environment.
  • Process knowledge especially process design expertise.
  • Startup roadmap designand implementation.
  • AI/MLmodelling expert fromforecasting/prediction modelling totraining and retrainingthe models based on data drift etc.
  • Have Pythonexpertise
  • GoodDocker andKubernetesknowledge
  • A willingnessto learn C# and Rust ifyoudo not already have knowledge there
  • Have experience leading a small team
  • Worked with IoT products
  • Deploying and hosting apps on AWS ideally Azure fine too
  • Experience building collaboration with other technical teams.

PLEASE NOTE:Unfortunatelythe company are unable to provide visa sponsorship.

If you are interested in this role please apply with your CV through this site.

DISCLAIMER: No terminology in this advert is intended to discriminate on the grounds of age sex race religion or belief disability pregnancy and maternity marriage and civil partnership sexual orientation gender and/or gender reassignment and we confirm that we are happy to accept applications from anyone for this role. Attis Global Ltd operates as an employment agency and employment business. More information can be found at attisglobal.


Required Experience:

Staff IC


Key Skills
Machine Learning,Python,Data Science,AI,R,Research Experience,Sensors,Drug Discovery,Research & Development,Natural Language Processing,Data Analysis Skills,Toxicology Experience
Employment Type :Full-Time
Experience:years
Vacancy:1
Yearly Salary Salary:100000 - 110000

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.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.