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For Companies At a Glance
- Tasks: Deploy Python platforms in client environments and manage AI/data pipelines.
- Company: Innovative data and AI company with a strong client base.
- Benefits: Competitive salary, equity options, and hybrid working model.
- Why this job: Make a real impact in a hands-on engineering role with autonomy.
- Qualifications: Strong Python skills and experience in production environments.
- Other info: Join a founder-led team with excellent growth opportunities.
The predicted salary is between 90000 - 120000 £ per year.
Location: Central London / Hybrid (3+ days in office preferred)
Type: Permanent, full-time
Industry: Data / AI / Financial Services
Salary: £90,000 - £120,000 DOE and open for discussion with the right candidate + Equity
The Opportunity
We are working with a highly technical, early-stage data and AI company that supports some of the most sophisticated institutions in the world. The business has clear product-market fit, a strong roster of tier-one clients, and more demand than its current team can deliver. This hire is being made to increase delivery capacity, not to backfill. This is a senior engineering role for someone who wants to work close to real-world problems: deploying complex systems into highly regulated, security-constrained environments and helping shape how a platform scales as the company grows.
What You’ll Be Doing
This role sits at the intersection of platform engineering and client deployment. You will:
- Deploy a Python-based platform into client-controlled, often on-prem environments
- Work with strict data, security, and infrastructure constraints
- Own end-to-end technical delivery for multiple client implementations
- Manage and curate AI / data pipelines using client-specific data
- Interface directly with client engineering and technical stakeholders
- Contribute to core platform development alongside deployment work
- Help define boundaries between reusable product code and client-specific implementations
- Influence how deployment, infrastructure, and delivery processes evolve as the company scales
This is not a support role, and not pre-sales. It is hands-on, production engineering with real ownership.
The Kind of Engineer We’re Looking For
This role suits someone who enjoys ambiguity, autonomy, and responsibility. We’re looking for:
- Strong Python experience in production environments
- Experience taking systems to production (CI/CD, cloud, infrastructure)
- Comfort working across cloud platforms (depth in one is fine)
- Experience with complex or regulated environments (fintech, healthcare, infrastructure, etc. helpful but not required)
- Confidence working directly with clients and technical stakeholders
- Evidence of initiative, project leadership, shaping systems, not just executing tickets
You do not need prior “forward deployed” experience, nor domain-specific knowledge. Strong fundamentals and good judgement matter more.
What Makes This Role Different
- Real impact: one hire materially changes delivery capacity and client outcomes
- Technical depth: real constraints, real systems, real complexity
- Autonomy: high trust, minimal bureaucracy, strong founder access
- Ownership: your decisions shape the platform and delivery model
- Visibility: your contribution is seen and rewarded quickly
- Equity: meaningful participation in the upside of the business
- Stability without VC pressure: founder-led, funded, no growth-at-all-costs culture
Practical Details
- Hybrid working, Central London office, ideally 3+ days a week in office
- Must be willing and able to pass standard background checks required by enterprise clients
- Occasional on-site client work as part of deployments
- No visa sponsorship available
Next Steps
This is a rare opportunity to join a small, high-quality engineering team at a moment where delivery, not vision, is the constraint. If of interest, please apply with an up-to-date CV. This is an urgent requirement so role interviewing now.
Solutions Consultant employer: ISL Talent
Contact Detail:
ISL Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Solutions Consultant
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can get you in the door.
✨Tip Number 2
Prepare for those interviews by practising common questions and scenarios related to Python and cloud deployments. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 3
Showcase your projects! Whether it's a GitHub repo or a personal website, having tangible evidence of your skills can really set you apart. We love seeing real-world applications of your work!
✨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’re always on the lookout for passionate candidates ready to make an impact.
We think you need these skills to ace Solutions Consultant
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Python experience and any relevant cloud platform skills. We want to see how your background aligns with the role, so don’t be shy about showcasing your achievements in production environments!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this role and how your skills can help us tackle real-world problems. Keep it concise but impactful – we love a good story!
Showcase Your Initiative: We’re looking for evidence of your initiative and project leadership. In your application, mention specific projects where you shaped systems or took ownership. This will help us see your potential impact on our team!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to hear from you!
How to prepare for a job interview at ISL Talent
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with Python in production environments, and think of specific examples where you've deployed systems successfully. This will show that you have the technical depth they're looking for.
✨Understand Client Deployment Challenges
Familiarise yourself with the complexities of deploying systems in regulated environments. Think about how you've navigated challenges in past projects, especially regarding security and infrastructure constraints. This will demonstrate your ability to handle real-world problems.
✨Showcase Your Initiative
Prepare to talk about times when you've taken the lead on projects or shaped systems rather than just executing tasks. Highlighting your initiative will resonate well with a company that values autonomy and responsibility.
✨Engage with Their Vision
Research the company and its product-market fit. Be ready to discuss how you can contribute to their growth and delivery capacity. Showing genuine interest in their mission will help you stand out as a candidate who aligns with their goals.
