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- Tasks: Lead the design and development of scalable ML systems and data pipelines.
- Company: Global specialist cloud consultancy working with top household brands.
- Benefits: Competitive salary, mentorship opportunities, and a dynamic work environment.
- Why this job: Shape the future of AI and ML while mentoring the next generation of engineers.
- Qualifications: Experience in ML system design, ETL pipelines, and cloud environments.
- Other info: Join a collaborative team focused on innovation and continuous improvement.
The predicted salary is between 54000 - 84000 £ per year.
Partnered with a Global Specialist Cloud Consultancy working with various household brands who are on the ramp up to upscale their Machine Learning/MLOps capabilities and looking to build out top tier resources in this area of speciality in a Senior and Principal capacity.
Role Requirements
- Lead Architecture and development of scalable, high performance Data pipelines and ML systems focusing on ingestion, transformation, quality and enhancement.
- Provide Tech leadership and mentorship to various cross-functioning teams of ML Engineers, Data Scientists and infrastructure teams ensuring project alignment, high standards and architectural alignment.
- Drive and integrate Machine Learning and AI technologies including NLP and LLMs enabling automation and creating intelligent Data solutions.
- Champion best practises and mentor engineers across teams driving continuous improvement.
- Provide direction and shape technical direction across AI, ML, Data Engineering and distributed systems.
Skills
- Extensive design and leading development of large-scale distributed data and ML backend systems.
- Hands-on experience with ETL pipeline design and optimising for complex datasets.
- Experience building robust APIs and ability to work in Modern cloud environments ideally GCP.
- Extensive understanding of NLPs and LLMs alongside a proven track record of end to end ML System design.
- Consulting experience ideally or a strong background delivering in a Client facing environment.
If this role aligns with your career aspirations and you would like to know more please share your CV and availability for a call.
ML Engineer Consultant in London employer: Harvey Nash Group
Contact Detail:
Harvey Nash Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML Engineer Consultant in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the ML and data engineering space. Attend meetups, webinars, or even local tech events. 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 involving ML systems, data pipelines, or APIs. 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 your technical knowledge and soft skills. Be ready to discuss your experience with NLPs, LLMs, and cloud environments like GCP. Practice common interview questions and scenarios to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace ML Engineer Consultant in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with ML systems and data pipelines. We want to see how you've led projects and mentored teams, so don’t hold back on those details!
Showcase Your Skills: When you write your application, emphasise your hands-on experience with ETL pipeline design and cloud environments like GCP. We’re looking for specific examples that demonstrate your expertise in NLP and LLMs.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so make sure your achievements and skills are easy to spot. Bullet points can help us quickly see what you bring to the table!
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 this exciting opportunity!
How to prepare for a job interview at Harvey Nash Group
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially around ML systems, ETL pipelines, and cloud environments like GCP. Brush up on your knowledge of NLPs and LLMs, as these will likely come up during technical discussions.
✨Showcase Your Leadership Skills
Since the role involves mentoring and providing tech leadership, be prepared to discuss your past experiences in leading teams or projects. Share specific examples where you’ve driven improvements or championed best practices in ML engineering.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about challenges you've faced in previous roles, particularly around data ingestion and transformation, and how you overcame them. This will demonstrate your practical experience and critical thinking.
✨Engage with the Interviewers
Don’t just wait for questions; engage with your interviewers by asking insightful questions about their current projects and challenges. This shows your genuine interest in the role and helps you gauge if the company is the right fit for you.
