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3,081

Content jobs in United Kingdom

Senior Machine Learning Engineer

Applied Intuition Inc.

United Kingdom
On-site
GBP 70,000 - 100,000
25 days ago
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Bus Project Management Graduate

Darogan Limited

Pontypridd
Hybrid
GBP 80,000 - 100,000
25 days ago

Summer Placement - Building Services (MEP) – Bath

Buro Happold group.

Bath
On-site
GBP 20,000 - 24,000
25 days ago

Production Apprenticeship Level 3 — Launch Your Career

BBC Studios Ltd

Dunstable
On-site
GBP 23,000
25 days ago

Dental Nurse Apprentice

Northern Skills Group

Newsham
On-site
GBP 40,000 - 60,000
25 days ago
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Account Executive

Dot Compliance Ltd

United Kingdom
On-site
GBP 45,000 - 70,000
25 days ago

Dynamic Field Sales Apprentice

Apprenticeships New Anglia

Norwich
On-site
GBP 12,000 - 18,000
25 days ago

GenAI & Data Science Trainer — Corporate Training Lead

QA group

United Kingdom
Hybrid
GBP 50,000 - 70,000
25 days ago
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Artificial Intelligence Educator

QA group

United Kingdom
Hybrid
GBP 50,000 - 70,000
25 days ago

Senior Campaign Manager - UK (Remote, Gaming & Esports)

Dexerto Limited

United Kingdom
Remote
GBP 55,000 - 65,000
25 days ago

Performance Engineer

Motorsport-Total.com GmbH

United Kingdom
On-site
GBP 100,000 - 125,000
25 days ago

Bus Network Planning Graduate – Transport for Wales

Women in Rail

Pontypridd
Hybrid
GBP 27,000 - 28,000
25 days ago

Store Supervisor

VF Corporation

Bicester
On-site
GBP 24,000 - 30,000
25 days ago

Industrial Placement - Building Services (MEP) - Bath

Buro Happold group.

Bath
On-site
GBP 10,000 - 40,000
25 days ago

PPC Manager

West Sussex.info

Chichester
On-site
GBP 40,000 - 60,000
25 days ago

Communication and Events Coordinator

Brighton College Prep Kensington

Whitmore
On-site
GBP 40,000 - 60,000
25 days ago

Head of Digital and Communications at Snow Camp

Community Base

Hove
On-site
GBP 30,000 - 45,000
25 days ago

Clinical Registry Coordinator - UK Based

IQVIA

England
On-site
GBP 40,000 - 55,000
25 days ago

Staff Nurse

Leedscommunityhealthcare

Yeadon
On-site
GBP 25,000 - 32,000
25 days ago

BBC Production Apprentice – Level 3 (Chelmsford)

BBC Studios Ltd

Chelmsford
On-site
GBP 19,000 - 23,000
25 days ago

Prosecution Team Investigator

Dorset & Wiltshire Fire

England
Hybrid
GBP 39,000 - 42,000
25 days ago

Communication and Events Coordinator

Polam School

Whitmore
On-site
GBP 40,000 - 60,000
25 days ago

Part-time School Communications & Events Coordinator

Polam School

Whitmore
On-site
GBP 40,000 - 60,000
25 days ago

FIG Investment Banking Associate

Rothschild & Co

United Kingdom
On-site
GBP 50,000 - 70,000
25 days ago

Ambulatory Practice Manager

Montgomery College

United Kingdom
On-site
GBP 40,000 - 55,000
25 days ago

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Senior Machine Learning Engineer
Applied Intuition Inc.
United Kingdom
On-site
GBP 70,000 - 100,000
Full time
25 days ago

Job summary

A global technology company is seeking an experienced Sr. Machine Learning Engineer in the United Kingdom. This role requires strong AI/ML expertise to design innovative products and optimize performance using cutting-edge technologies. The ideal candidate will also have experience in MLOps, a master's or PhD in a relevant field, and at least 4 years of solid experience in software and AI systems development. Join a dynamic team that values diversity and innovation, making a real impact in the technology landscape.

Benefits

Company performance-related bonus
Medical insurance
Educational assistance
In-house soft skills training

Qualifications

  • At least 4 years experience in building complex software and AI systems.
  • Strong understanding of software development lifecycle.

Responsibilities

  • Design and develop AI-powered products.
  • Implement ML lifecycle from data engineering to deployment.
  • Translate emerging technologies into practical solutions.

Skills

Problem-solving skills
MLOps expertise
Technical expertise
AI/ML background
Team management
Continuous learning

Education

Master’s or PhD in AI, Statistics, Computer Science

Tools

AWS
Azure
GCP
Various ML/GenAI frameworks
Job description

Are you searching for an opportunity to play a key role in driving the dramatic growth of a highly successful software company?


At Poppulo, we’re working on what’s next in communications and workplace technology. As a pioneer in this industry, we understand that meaningfully reaching every employee is hard. And so is managing office space in a hybrid world. And so is improving the customer and guest experience. We exist to make each of these things easier. We exist to bring harmony to our customers.


And we do that at enterprise scale. Our omnichannel employee communications, customer communications, and workplace experience platform is trusted by over 6,000 organizations today, reaching more than 35M employees and delivering content to 500,000+ digital signs.


We know there’s no such thing as a “perfect\" candidate - we’re all a work in progress and are growing new skills and capabilities all the time. We encourage you to apply for a position with Poppulo even if you don’t meet 100% of the requirements. We believe in fostering an environment where there is a diversity of perspectives, in hopes that we can all thrive.


The Opportunity

We are looking for a Sr. Machine Learning (ML) Engineer with a strong sense of ownership. If you are an ML practitioner who thrives in an environment where innovation meets practical application to build disruptive products, this role is for you.


At Poppulo, we intend to redefine boundaries and reshape Employee Communications and Digital Signage through the power of cutting‑edge machine learning and AI. We are not just building products; we are disrupting the status-quo with transformative solutions that challenge conventional thinking, create competitive edge and create new market opportunities.


This role is pivotal to the success of our AI team. It is the backbone of our ML initiatives. This role bridges the gap between research and production by leveraging cutting‑edge AI technology into leading, world‑class solutions.


As a Sr. Machine Learning (ML) Engineer, you be the key driver for innovative problem solving by combining technical excellence with creative application of ML. Your expertise will be crucial in uncovering hidden opportunities within product ideas. Additionally, you will stay at the forefront of emerging technologies, continuously evaluating new AI/ML frameworks, tools, and best practices to help guide the evolution of our software solutions.


Key Responsibilities


  • Solve complex challenges with AI/ML : Design, develop new AI‑powered products that deliver the product roadmap.

  • Implement ML lifecycle - from data engineering and model development to cloud‑based deployment, integrations and operationalisation. Incl. MLOps

  • Productionise full‑stack AI/ML solutions : Translate emerging techs like GenAI into innovative, practical solutions that transform customer experiences.

  • Align with Product Strategy: Create proof of concepts at high cadence to demonstrate/validate potential solutions as per our product strategy.

  • Optimise Model and system performance: Fine‑tune, optimise training and inference performances.

  • Wider collaboration: Partner with cross‑functional teams to demonstrate and validate the impact of ML innovations before introducing them into the product ecosystem.

  • Research Savvy : Staying up‑to‑date with SOTA and industry trends in AI/ML.

  • Strong AI/ML background : Expertise in designing, building and deploying real‑world ML applications (Computer Vision, Classification, etc.)

  • Strong foundation in GenAI : Deep understanding of generative models (LLMs, etc.), AI Agents, prompt engineering RAG, vector databases.

  • Technical Expertise : Proficiency in ML/GenAI frameworks, databases, shell scripts and programming languages.

  • MLOps expertise : Hands‑on experience in setting up MLOps on AWS, Azure and GCP.

  • Full‑stack expertise : Proficiency in data pipelines, distributed systems, APIs, web front‑end, mobile apps, automated testing and cloud platforms (AWS, GCP, etc.).

  • Exceptional problem‑solving skills: Ability to simplify and breakdown complex technical and business challenges to create innovative and practical solutions.

  • Team management : Experience in guiding teams to deliver high‑impact solutions.

  • Continuous learning : Ability to learn quickly and apply new technologies to solve problems practically.


Education & Experience


  • Master’s or PhD in AI, Statistics, Computer Science or a related field

  • At least 4 years’ experience in a building complex, distributed software and AI systems

  • Strong understanding of entire end‑to‑end software development lifecycle


Why Us?


  • Company performance‑related bonus

  • Medical insurance

  • Educational assistance

  • In‑house soft skills training


Who We Are

We are a values‑driven organization that encourages our employees to bring their authentic selves to work every day and empowers everyone to make a tangible impact on our products, clients, and culture. We offer a dynamic environment with driven, fun, and flexible individuals who thrive on challenge and responsibility. This is an opportunity to contribute to our culture and join a company that’s on the move.


We live the Poppulo values each day, as they are key to everything we do.



  • Bring Your Best Self
    We show up authentically, are self‑aware and always strive to be better.

  • See it. Own it. Solve it.
    We proactively innovate and solve for our customers and each other. We set an example with high standards for our work. We foster a culture of learning, acknowledging our successes and our failures.

  • Together We’re Better
    We value and celebrate our diversity. We learn from others, respecting their expertise, and focus on building trust. That's what makes us a team.


Named a Great Place to Work in 2015, 2016, 2017, 2018, 2019, 2020, and 2021, we are a fast‑growing global technology company, with offices in Ireland, the US, the UK and India.


Poppulo is an equal opportunity employer.


We are committed to protecting your privacy. For details on how we collect, use, and protect your personal information, please refer to our Job Applicant Privacy Policy.

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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