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For Companies At a Glance
- Tasks: Design and develop cutting-edge AI/ML features for our cybersecurity platform.
- Company: Join Red Sift, a leader in digital resilience and AI innovation.
- Benefits: Competitive salary, remote work, health insurance, and generous vacation days.
- Why this job: Make a real impact in cybersecurity while working with the latest AI technologies.
- Qualifications: Experience in ML/AI, programming skills in Python and JavaScript/TypeScript.
- Other info: Collaborative team environment with excellent career growth opportunities.
The predicted salary is between 48000 - 84000 £ per year.
About us
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.
About the team
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.
About the role
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 https://wellhub.com)
- Cycle to work scheme
- One volunteer day per year
Senior ML/AI Engineer employer: Red Sift
Contact Detail:
Red Sift Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML/AI Engineer
✨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 put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to ML/AI. This is your chance to demonstrate what you can do beyond just words on a CV.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios relevant to AI and ML. Don’t forget to brush up on your problem-solving skills; they love to see how you think!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team at Red Sift.
We think you need these skills to ace Senior ML/AI Engineer
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. Be genuine and let your personality come through – we love good humans!
Showcase Your Projects: If you've got any cool projects or contributions to open-source that demonstrate your ML/AI skills, make sure to include them. We’re keen to see your hands-on experience and how you’ve tackled complex problems in the past.
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 you’re serious about joining our team at Red Sift!
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, and deployment.
✨Show Your Collaborative Spirit
Red Sift values teamwork, so be prepared to share examples of how you've collaborated with product, backend, and frontend teams. Highlight your ability to communicate effectively and contribute independently when needed.
✨Demonstrate Your Customer-Centric Mindset
During the interview, emphasise your understanding of customer outcomes. Share instances where your decisions positively impacted users, showcasing your empathy and responsiveness to their needs.
✨Get Technical
Be ready to dive into technical discussions about cloud computing, microservices, and API design. Familiarise yourself with Red Sift's tech stack, including Python, JavaScript/TypeScript, and ML frameworks like PyTorch and scikit-learn, to show you're a great fit for the role.
