Senior AI Engineer

Senior AI Engineer

London Full-Time 64000 - 96000 Β£ / year (est.) No home office possible
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At a Glance

  • Tasks: Join us as a Senior AI Engineer, tackling real-world challenges with cutting-edge AI technology.
  • Company: Planna is an innovative AI startup focused on helping homeowners make smarter decisions.
  • Benefits: Enjoy equity options, a new MacBook, flexible hybrid working, and 28 days holiday.
  • Why this job: Be part of a fast-paced environment where your work has a real impact on people's lives.
  • Qualifications: 3+ years in AI/ML, experience with LLMs, AWS, and strong communication skills required.
  • Other info: Work in Cardiff or London, with a supportive team that values work-life balance.

The predicted salary is between 64000 - 96000 Β£ per year.

Location : Cardiff or LondonEmployment Type : Full timeLocation type : HybridCompensation : Β£80-100KAbout Us We\’re a fully funded AI startup, based in Hammersmith and soon opening our second office in Cardiff.At Planna, we build tools that help people make smarter decisions about their homes β€” whether that\’s diagnosing a boiler issue, planning a loft conversion, or finding a trusted roofer. Our patent-pending AI technology cuts through the noise and helps homeowners figure out what really matters, whether they want to save money, live more sustainably, or boost the long-term value of their biggest asset.We also work with banks, insurers, and household brands to offer the right products to the right customers at the right time β€” powered by real-time insights into every home.With growing monthly users and major partnerships in the works, it\’s a great time to join us and help shape what comes next.The Role We\’re looking for a Senior AI Engineer to join our growing team at the forefront of applied AI. You\’ll work on meaningful, real-world challenges with clients across the UK β€” using state-of-the-art LLMs, computer vision, and NLP to build innovative solutions that deliver real impact.This is a broad, high-impact role, perfect for someone who thrives in fast-paced environments, combines technical depth with strong product instincts, and enjoys turning complex problems into working products.Who You Are You\’ve got 3+ years of hands-on experience in AI/ML β€” with a solid mix of practical application and research depth.You\’ve worked with LLMs and/or computer vision models in real-world settings, and you know what it takes to get them into production.You\’re confident with AWS β€” from setting up infrastructure to building training pipelines and deploying models at scale.You thrive in fast-paced environments and enjoy seeing your work ship quickly.You\’re proactive, solutions-focused, and comfortable working with uncertainty.You\’re a strong communicator β€” equally at home discussing model architecture or product impact.You\’re based in (or happy to travel to) either Cardiff or London 2–3 days a week.Bonus points if you also have:A PhD (or equivalent research experience) in machine learning, computer vision, NLP, or a related fieldExperience with multi-modal models that combine vision and languageStrong grasp of data-centric AI practices β€” annotation tooling, prompt evaluation, and dataset curationFamiliarity with MLOps tools (e.g. Weights & Biases, SageMaker, MLflow)Experience working in regulated sectors like insurance, banking, or propertyWhat You\’ll Be Doing This is a hands-on, high-impact role β€” you\’ll be building production-grade AI systems, solving complex problems, and working closely with enterprise partners. No two weeks will look the same.Fine-tune and privately deploy LLMs β€” with a focus on Retrieval-Augmented Generation (RAG) pipelinesBuild and scale computer vision systems β€” from object detection to image segmentationApply NLP to real-world business problems β€” summarisation, entity recognition, information extraction, and moreTrain and deploy models at scale using AWS β€” including Lambda, EC2, S3, and SageMakerMeet with enterprise clients to explore problems, present ideas, and share resultsPrototype fast, test often, and get working solutions into the hands of usersWork cross-functionally with product and engineering teams to bring AI features to lifeHelp shape our internal AI practices β€” from evaluation frameworks to responsible deploymentWhat We Offer Equity optionsNew MacBookOnline learning subscriptionFlexible hybrid working (2–3 days a week in our Cardiff or London office)28 days holiday (plus your birthday off)Annual pay reviewAutonomy, ownership, and the chance to shape a growing companyA friendly, supportive work environment where work-life balance mattersHow to Apply Send us your CV and a short cover letter telling us why this role is a great fit for you.Interview ProcessYou\’ll start with a coffee chat either in Cardiff or London with one of our senior team membersTechnical Deep DiveThen a follow-up call with our CEO and founderTeam Fit + Final Q&ATo apply email your CV and cover letter to careers@planna.co

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Senior AI Engineer employer: Planna Ltd.

At Planna, we pride ourselves on being an innovative AI startup that values creativity and collaboration. With a flexible hybrid working model between our Cardiff and London offices, we offer a supportive work environment that prioritises work-life balance and employee growth through equity options and online learning subscriptions. Join us to tackle meaningful challenges in AI while enjoying the autonomy to shape your role and contribute to our exciting journey.
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Contact Detail:

Planna Ltd. Recruiting Team

StudySmarter Expert Advice 🀫

We think this is how you could land Senior AI Engineer

✨Tip Number 1

Familiarise yourself with the latest advancements in AI, particularly in LLMs and computer vision. Being able to discuss recent breakthroughs or trends during your interview can demonstrate your passion and knowledge in the field.

✨Tip Number 2

Prepare to showcase your hands-on experience with AWS. Be ready to discuss specific projects where you've set up infrastructure or deployed models at scale, as this is crucial for the role.

✨Tip Number 3

Practice explaining complex AI concepts in simple terms. As a strong communicator, you’ll need to convey technical details effectively to non-technical stakeholders, so honing this skill will be beneficial.

✨Tip Number 4

Network with professionals in the AI field, especially those who have experience in regulated sectors like insurance or banking. This can provide insights into industry-specific challenges and help you stand out during the interview process.

We think you need these skills to ace Senior AI Engineer

Hands-on experience in AI/ML
Proficiency with LLMs and computer vision models
Experience deploying models in production
Strong knowledge of AWS services (Lambda, EC2, S3, SageMaker)
Ability to work in fast-paced environments
Strong communication skills
Problem-solving skills
Experience with data-centric AI practices
Familiarity with MLOps tools (e.g. Weights & Biases, SageMaker, MLflow)
Experience in regulated sectors (insurance, banking, property)
Prototyping and testing skills
Cross-functional collaboration skills
Understanding of Retrieval-Augmented Generation (RAG) pipelines
Knowledge of NLP applications (summarisation, entity recognition, information extraction)

Some tips for your application 🫑

Tailor Your CV: Make sure your CV highlights your 3+ years of hands-on experience in AI/ML, particularly with LLMs and computer vision. Use specific examples from your past work that demonstrate your ability to deploy models at scale and solve complex problems.

Craft a Compelling Cover Letter: In your cover letter, explain why you are excited about the role at Planna and how your skills align with their mission. Mention your experience with AWS and any relevant projects that showcase your proactive and solutions-focused approach.

Showcase Relevant Projects: If you have worked on projects involving multi-modal models or data-centric AI practices, be sure to include these in your application. Highlight your familiarity with MLOps tools and any experience in regulated sectors like insurance or banking.

Prepare for the Interview: Research Planna's products and think about how you can contribute to their goals. Be ready to discuss your technical expertise and how you've applied it in real-world settings. Prepare questions that show your interest in their work culture and future projects.

How to prepare for a job interview at Planna Ltd.

✨Showcase Your Technical Expertise

Be prepared to discuss your hands-on experience with AI/ML, particularly with LLMs and computer vision. Highlight specific projects where you've successfully deployed models in production, as this will demonstrate your practical knowledge and problem-solving skills.

✨Understand the Company’s Mission

Familiarise yourself with Planna's goals and the impact of their AI technology on homeowners and businesses. This will help you align your answers with their mission and show that you're genuinely interested in contributing to their success.

✨Prepare for Technical Questions

Expect in-depth technical questions during the interview, especially related to AWS infrastructure and MLOps tools. Brush up on your knowledge of these areas and be ready to explain how you've used them in past projects.

✨Demonstrate Strong Communication Skills

As a Senior AI Engineer, you'll need to communicate complex ideas clearly. Practice explaining your previous work in a way that's accessible to non-technical stakeholders, as this will showcase your ability to bridge the gap between technical and product teams.

Senior AI Engineer
Planna Ltd.
Location: London

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