At a Glance
- Tasks: Lead a team to build and optimise a cutting-edge synthetic data platform.
- Company: Join a global market research leader transforming AI and data science.
- Benefits: Competitive salary, flexible hybrid working, and opportunities for professional growth.
- Other info: Dynamic role with a focus on strategic and technical challenges.
- Why this job: Shape the future of AI while working with innovative technologies and talented teams.
- Qualifications: Experience in ML infrastructure, leadership skills, and a passion for AI.
The predicted salary is between 120000 - 130000 £ per year.
Do you want to define the engineering standards behind one of the UK's most ambitious synthetic data platforms? Have you ever built ML infrastructure that enabled researchers and engineers to ship production AI at scale? Are you ready to lead a growing engineering team shaping the future of synthetic data and GenAI?
We're partnering with a global market research and insights organisation that operates in over 90 countries and serves thousands of enterprise clients worldwide. They're investing heavily in a new Synthetic Data Research function, building next-generation products that combine machine learning, privacy, and software engineering to transform how market research is conducted.
This team sits at the intersection of platform engineering, MLOps, distributed systems, and Generative AI. Working alongside researchers, data scientists, and product teams, you'll help scale a platform that supports synthetic data generation, Digital Twins, and enterprise AI workloads.
This is a leadership role for someone who enjoys operating at both strategic and technical levels. You'll own platform architecture, engineering standards, team growth, and delivery execution while helping productionise cutting-edge AI research.
Key Responsibilities- Define and own the technical vision for a large-scale AI platform
- Lead and grow a team of Software, Data and MLOps Engineers
- Build scalable GCP, Kubernetes, and Vertex AI infrastructure
- Establish engineering standards, SDLC processes, and delivery practices
- Partner with researchers to productionise advanced AI and ML systems
- Drive platform security, governance, compliance, and reliability initiatives
- Optimise cloud infrastructure and GPU utilisation for GenAI workloads
- Salary: £120,000–£130,000 (with flexibility)
- Working model: Hybrid London (2–3 days on paper, currently much more flexible)
- Location: Tower Hill, London
- Tech stack: Python, GCP, Vertex AI, Kubernetes (GKE), Kubeflow, Docker, Terraform/Pulumi, FastAPI, PostgreSQL, BigQuery, PyTorch, LLMs, Vector Databases
- Visa sponsorship: cannot sponsor
Interested? Please apply below.
ML Platform Lead - Synthetic Data in Slough employer: Harnham
Join a forward-thinking global market research organisation that champions innovation and collaboration in the heart of London. As an employer, we offer a dynamic work culture that fosters creativity and professional growth, with opportunities to lead cutting-edge projects in synthetic data and Generative AI. Our commitment to employee development, coupled with a flexible hybrid working model, ensures that you can thrive both personally and professionally while making a significant impact in the industry.
StudySmarter Expert Advice🤫
We think this is how you could land ML Platform Lead - Synthetic Data in Slough
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Harnham or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Harnham.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Harnham.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Harnham that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace ML Platform Lead - Synthetic Data in Slough
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Harnham.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Harnham and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Harnham
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Harnham uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
