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For Companies At a Glance
- Tasks: Lead the development of cutting-edge Generative AI solutions for global enterprises.
- Company: A scaling AI consultancy with partnerships with renowned tech firms.
- Benefits: Competitive salary, EMI shares, private medical, wellness benefits, and 25 days holiday.
- Why this job: Join a profitable business at the forefront of applied AI and influence technical direction.
- Qualifications: 5+ years in software engineering, experience with LLM applications, and strong leadership skills.
- Other info: Hybrid working model with 3 days a week in London and excellent career growth opportunities.
The predicted salary is between 90000 - 135000 £ per year.
Job Description
Senior AI Engineer
📍 London (3 days a week) | 💰 £90k–£135k + EMI shares | ❌ No sponsorship
I’m partnered with a scaling AI consultancy and product company that works with global enterprises to design and deliver cutting-edge Generative AI solutions. They have partnerships with renowned tech firms – adding commmercial value.
They’re looking for Senior ML/AI Engineers with strong software engineering expertise who can deliver production-ready AI solutions and upskill others in a fast-paced, consultancy-driven environment. You'll be a senior in title, but operating as a tech lead in a flat structure.
What they’re after:
- 5+ years’ experience building enterprise-grade software (Python, microservices, distributed systems)
- Proven track record deploying LLM-based applications
- Clear evidence of Software skills (CI/CD etc.)
- Ability to lead small teams, own solutions end-to-end, and mentor engineers
- Strong communicator with experience working in client-facing or consultancy settings
The package:
- Up to £135k base + EMI share options
- Private medical, wellness benefits, pension, life cover
- 25 days holiday + bank holidays
- Hybrid working, 3 days a week in London
This is a chance to join a profitable, high-calibre business at the forefront of applied AI, where you’ll shape solutions and influence technical direction across multiple projects.
If this sounds like you, apply with your CV!
Senior AI Engineer (Tech Lead) employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer (Tech Lead)
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and tech space. Attend meetups, webinars, or even local 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 LLM-based applications. This is your chance to demonstrate your expertise in Python and distributed systems, making you stand out to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Since you'll be in a client-facing role, practice explaining complex AI concepts in simple terms. This will show that you can lead teams and mentor others effectively.
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of opportunities that match your skills. Plus, it’s a great way to ensure your application gets seen by the right people. Let’s get you that Senior AI Engineer role!
We think you need these skills to ace Senior AI Engineer (Tech Lead)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your expertise in Python, microservices, and any relevant AI projects you've worked on. We want to see how you can bring value to our team!
Showcase Your Leadership Skills: Since this role involves leading small teams, be sure to include examples of how you've mentored others or taken charge of projects. We love seeing candidates who can inspire and guide their peers!
Communicate Clearly: As a Senior AI Engineer, you'll need to communicate effectively with clients and team members. Use your application to demonstrate your communication style—clear, concise, and engaging. We appreciate straightforwardness!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you get the attention you deserve. Don’t miss out on this opportunity!
How to prepare for a job interview at Harnham
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, microservices, and distributed systems. Brush up on your experience with LLM-based applications and be ready to discuss specific projects where you’ve deployed these solutions.
✨Showcase Your Leadership Skills
As a tech lead, you’ll need to demonstrate your ability to lead teams and mentor others. Prepare examples of how you've successfully guided projects or supported junior engineers in previous roles. Highlight your communication skills, especially in client-facing situations.
✨Prepare for Consultancy Scenarios
Since this role is in a consultancy-driven environment, think about how you can adapt your technical expertise to meet client needs. Be ready to discuss how you’ve handled client interactions, managed expectations, and delivered solutions that add commercial value.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s approach to AI solutions, their team structure, and how they measure success. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
