Senior ML/AI Engineer in London

Senior ML/AI Engineer in London

London Full-Time 48000 - 72000 £ / year (est.) Home office possible
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At a Glance

  • Tasks: Design and develop cutting-edge AI/ML features for a leading cybersecurity platform.
  • Company: Join Red Sift, a global leader in digital resilience and cybersecurity solutions.
  • Benefits: Competitive salary, remote work, 25 days vacation, and health insurance.
  • Why this job: Make a real impact in cybersecurity while working with innovative AI technologies.
  • Qualifications: Experience in ML/AI, Python, and collaborative team environments.
  • Other info: Enjoy a dynamic startup culture with excellent career growth opportunities.

The predicted salary is between 48000 - 72000 £ per year.

Red Sift's Digital Resilience Platform solves for the greatest vulnerabilities across the complete attack surface. By providing comprehensive coverage of an organization’s digital footprint through best-in-class discovery and monitoring, Red Sift enables users to proactively uncover threats within email, domains, brand, and the network perimeter. Paired with sophisticated remediation capabilities, Red Sift provides organizations with the tools to shut down phishing and ensure ongoing compliance with email and web security protocols.

We are a global organization with offices in North America, Ireland, Spain, and the UK. It boasts an impressive client base across all industries, including Domino’s, ZoomInfo, Athletic Greens, Pipedrive, and top global law firms. Red Sift is also a trusted partner of Entrust, Microsoft, and Validity, among others.

The mission of the AI Lab is to research, design, and build cutting-edge machine learning and artificial intelligence solutions that are integrated across Red Sift's products. Working closely with different product teams, we identify opportunities and gaps that can be improved by leveraging AI to automate complex tasks and reduce the user's manual effort.

We are seeking a Senior AI & ML Engineer with a strong foundation in machine learning fundamentals and hands-on experience with modern generative AI and large language models (LLMs). You’ll work on cutting-edge AI functionality across our flagship cybersecurity platform — building scalable, performant systems that harness the power of data, ML models, and ML infrastructure.

In this role you will:

  • Design, develop, and deploy production-grade ML/AI features — from data prep and model training to inference APIs and monitoring.
  • Integrate and scale LLMs & generative AI within product workflows, including fine-tuning, prompt engineering, RAG (retrieval-augmented generation), agentic systems.
  • Collaborate with product, backend, and frontend teams to deliver impactful AI-driven experiences.

About you:

  • You are a good human, easy to work with, empathetic, open-minded and a team player.
  • Our values (Responsiveness, Empowerment, Diversity, Social Responsibility, Innovation, Fairness, Trust) make sense to you.
  • You are driven, and having a lot of autonomy motivates you.
  • You have a customer-centric mindset: you really care about the customer outcomes.
  • You understand that every decision you make has trade-offs and feel confident making decisions while moving quickly and building secure, scalable and resilient solutions to unexplored, complex technical problems.
  • You don’t mind rolling up your sleeves and getting your hands dirty with tech debt or digging out annoying bugs.
  • You are a collaborative ML/AI Engineer with proven professional experience in programming languages like Python, JavaScript/TypeScript and other relevant ML/AI technologies.
  • You possess a strong understanding of cloud computing, microservices, API design, and event-driven architectures.
  • You are enthusiastic about observability, and take charge of features delivered by monitoring their functionality and effectiveness after deployment.
  • You thrive in a team environment, effectively communicating and contributing independently when needed.
  • You are comfortable with collaborating with other teams and other departments.
  • You are excited about AI and are already integrating AI tools into your daily process.

Our Stack:

  • Exploration & prototyping: Jupyter notebooks for data exploration, experimentation, and model iteration.
  • Languages: Python for ML/AI development; JavaScript/TypeScript for production integration.
  • ML / DL frameworks: PyTorch and scikit-learn.
  • LLMs & GenAI: State-of-the-art foundation models, embeddings, and retrieval-augmented generation (RAG).
  • Production: Cloud-native deployment with attention to scalability, latency, and cost.

Location: Barcelona or London would be ideal but we would be happy to accommodate fully-remote working arrangements in locations with similar time zones.

Benefits:

  • The opportunity to participate in every aspect of the startup journey in rapid scaling mode.
  • The chance to participate in our mission to protect organisations and the people within them with cybersecurity software products that outsmart attackers at scale.
  • A competitive base salary based on experience in addition to a performance-based bonus, equity plan and pension scheme.
  • Career Progression plan.
  • Full remote work, with the option to visit our office in London or Barcelona.
  • 25 days of vacation in addition to public holidays per year.
  • Day off on your birthday.
  • A monthly budget for coaching and self-improvement such as courses, conferences and workshops.
  • Health Insurance for you and your family members.
  • Maternity / Paternity leave.
  • Gym membership (via work scheme).
  • One volunteer day per year.

Senior ML/AI Engineer in London employer: Red Sift

Red Sift is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for a Senior ML/AI Engineer to thrive. With a commitment to employee growth through comprehensive career progression plans, generous benefits including health insurance, remote work flexibility, and a focus on work-life balance, Red Sift empowers its team to make meaningful contributions in the rapidly evolving field of cybersecurity. Located in vibrant cities like Barcelona and London, employees enjoy a dynamic work environment while being part of a mission-driven company dedicated to protecting organizations from digital threats.
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Contact Detail:

Red Sift Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior ML/AI Engineer in London

✨Tip Number 1

Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those related to ML/AI. This gives potential employers a taste of what you can do and sets you apart from the crowd.

✨Tip Number 3

Prepare for interviews by brushing up on common ML/AI questions and coding challenges. Practice makes perfect, so consider mock interviews with friends or use online platforms to get comfortable.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our mission.

We think you need these skills to ace Senior ML/AI Engineer in London

Machine Learning Fundamentals
Generative AI
Large Language Models (LLMs)
Data Preparation
Model Training
Inference APIs
Prompt Engineering
Retrieval-Augmented Generation (RAG)
Programming Languages (Python, JavaScript, TypeScript)
Cloud Computing
Microservices
API Design
Event-Driven Architectures
Observability
Collaboration Skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Senior ML/AI Engineer role. Highlight your experience with machine learning, generative AI, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how you can contribute to our mission at Red Sift. Keep it engaging and personal – we love to see your personality come through.

Showcase Your Projects: If you've worked on any cool ML/AI projects, make sure to mention them! Whether it's a personal project or something from a previous job, we want to see your hands-on experience and creativity in action.

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us that you're genuinely interested in joining our team!

How to prepare for a job interview at Red Sift

✨Know Your Stuff

Make sure you brush up on your machine learning fundamentals and the latest in generative AI and large language models. Be ready to discuss specific projects you've worked on, especially those that involved data prep, model training, or deploying ML features.

✨Showcase Your Collaboration Skills

Since this role involves working closely with product, backend, and frontend teams, be prepared to share examples of how you've successfully collaborated in the past. Highlight your ability to communicate effectively and contribute both independently and as part of a team.

✨Demonstrate Your Problem-Solving Mindset

Red Sift values innovation and tackling complex problems. Think of instances where you've had to make quick decisions with trade-offs in mind. Be ready to discuss how you approach tech debt or debugging, showing that you're not afraid to roll up your sleeves.

✨Align with Their Values

Familiarise yourself with Red Sift's core values like responsiveness, empowerment, and social responsibility. During the interview, weave these values into your answers to show that you resonate with their mission and culture.

Senior ML/AI Engineer in London
Red Sift
Location: London

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