At a Glance
- Tasks: Lead the design of cutting-edge ML applications and support customers in their technical journey.
- Company: Join Databricks, a leader in AI/ML solutions with a focus on innovation.
- Benefits: Enjoy comprehensive benefits, remote work options, and a commitment to diversity.
- Other info: Opportunity for career growth and mentorship in a dynamic environment.
- Why this job: Become a trusted ML expert and make a real impact in the tech community.
- Qualifications: Experience in Data Science/ML and strong communication skills are essential.
The predicted salary is between 70000 - 90000 £ per year.
As a Senior Specialist Solutions Engineer (SSE), ML Engineering, you will be the trusted technical ML expert to both Databricks customers and the Field Engineering organization. You will work with Solution Architects to guide customers in architecting production-grade ML applications on Databricks, while aligning their technical roadmap with the evolving Databricks Data Intelligence Platform. You will continue to strengthen your technical skills through applying the latest technologies in GenAI, LLMOps, and ML, while expanding your impact through mentorship and establishing yourself as an ML expert.
You will be reporting to the Manager, Field Engineering (Specialist Team).
The impact you will have
- Lead the architectural design of production-grade ML workloads on our unified platform, encompassing the entire MLOps lifecycle from end-to-end pipeline creation and optimization (training/inference) to seamless integration with cloud-native services.
- Provide advanced technical support to the Solution Architects during the technical sales cycle by building MVPs, leading deep-dive technical sessions, and strategically aligning ML/data science solutions to complex customer business challenges using relevant real-world examples.
- Serve as the trusted technical advisor for customers developing GenAI solutions, specializing in the design and implementation of RAG architectures on enterprise knowledge bases, enabling natural language querying of structured data, and establishing content generation and monitoring frameworks.
- Drive community growth and platform adoption through thought leadership activities, including the creation of technical tutorials and training materials, as well as leading hackathons and presenting at industry conferences.
What we look for
- Experienced, technical, customer-facing, and with a background in Data Science / Machine Learning, and Data Engineering.
- Looking to learn and develop in a customer-facing technical role as a subject matter expert (SME) in a pre-sales environment.
- Pre-sales or post-sales experience working with external clients across a variety of industry markets.
Data Science/ML Skills
- Hands-on industry ML experience in at least one of the following:
- ML Engineer: Develop production-grade cloud (AWS/Azure/GCP) infrastructure that supports the deployment of ML applications, including drift monitoring.
- Data Scientist: Experience with the latest techniques in natural language processing, including vector databases, fine-tuning LLMs, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAI.
- Hands-on experience working with Distributed Spark based systems.
- Experience communicating and teaching technical concepts to non-technical and technical audiences alike.
- Passion for collaboration, life-long learning, and driving our values through ML.
Preferred:
- 2+ years customer-facing experience in a pre-sales or post-sales role.
- Experience working with Apache Spark™ to process large-scale distributed datasets.
- Can meet expectations for technical training and role-specific outcomes within 3 months of hire.
- Can travel up to 30% when needed.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Senior Specialist Solutions Engineer (AI/ML) in London employer: Databricks Inc.
At Databricks, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our London office provides a vibrant environment where employees can thrive, with ample opportunities for professional growth through mentorship and thought leadership initiatives. We are committed to diversity and inclusion, ensuring that every team member feels valued and empowered to make a meaningful impact in the field of AI and ML.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Specialist Solutions Engineer (AI/ML) 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 ML projects, especially those that align with the role. 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 practising common technical questions and scenarios related to ML and data engineering. Mock interviews with friends or mentors can help you feel more confident and ready to impress.
✨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, it shows you’re genuinely interested in joining our team at Databricks.
We think you need these skills to ace Senior Specialist Solutions Engineer (AI/ML) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Senior Specialist Solutions Engineer role. Highlight your hands-on ML experience and any customer-facing roles you've had, as we want to see how you can bring value to our team.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about AI/ML and how your background makes you a perfect fit for this role. Don’t forget to mention any relevant projects or achievements that showcase your expertise.
Showcase Your Technical Skills:In your application, be sure to highlight your technical skills, especially in ML engineering and data science. Mention specific tools and technologies you've worked with, like Apache Spark or LLMs, as we’re keen on seeing your practical experience.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re serious about joining the StudySmarter team!
How to prepare for a job interview at Databricks Inc.
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts, especially those related to MLOps and GenAI. Be ready to discuss real-world applications and how you've tackled complex challenges in previous roles.
✨Showcase Your Customer-Facing Skills
Since this role is customer-facing, prepare examples of how you've effectively communicated technical concepts to non-technical audiences. Think about times when you’ve led discussions or provided support during the sales cycle.
✨Demonstrate Your Technical Expertise
Be prepared to dive deep into your technical skills, especially with tools like Apache Spark, HuggingFace, and cloud platforms. You might be asked to solve a problem on the spot, so practice articulating your thought process clearly.
✨Engage with Thought Leadership
Highlight any experience you have with creating tutorials, leading workshops, or presenting at conferences. This shows your passion for community growth and your commitment to sharing knowledge, which is key for this role.
