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For Companies At a Glance
- Tasks: Join us as a Technology Recruitment Consultant, sourcing top talent in AI, ML, and data engineering.
- Company: Inara partners with innovative tech companies, from startups to global giants, redefining industries with cutting-edge technology.
- Benefits: Enjoy competitive pay, up to 40% commission, hybrid working, and access to the latest AI tools.
- Why this job: Be at the forefront of tech recruitment, shaping teams that drive innovation and impact in the industry.
- Qualifications: 2-5+ years in technical hiring, ideally in AI, ML, or Data Engineering; strong communication skills required.
- Other info: Work closely with founders and CTOs, gaining hands-on experience in a fast-paced, dynamic environment.
The predicted salary is between 21500 - 28000 £ per year.
Technology Recruitment Consultant (AI | ML | Data Engineering)
Location: Hybrid (Marlow, Buckinghamshire) | Full-time
Salary: £25,000 – £32,000 DOE
Commission: up to 40%
About Inara
At Inara, we partner with some of the most exciting companies in tech, from start-ups all the way to global giants. We enjoy nothing more than partnering with the companies reimagining how industries operate with AI, software, and frontier engineering.
We don’t do generic recruitment. We operate as strategic talent partners, often embedded with founders and engineering leaders, building the teams that shape products, scale platforms, and drive technical breakthroughs.
The Role
We’re now hiring a Technology Recruitment Consultant to help us meet growing demand across AI, ML, and data engineering. You’ll be working on roles that span from data platform engineers building high-throughput pipelines and analytics infrastructure, to ML engineers designing GenAI systems from the ground up, to systems specialists optimising LLM performance at scale. This is a chance to work at the cutting edge of talent acquisition for companies redefining what’s possible with data, AI, and intelligent infrastructure.
What You\’ll Be Doing
This is a 360 role : you’ll be responsible not just for delivering on searches, but for identifying, shaping, and winning new business. That means having conversations with founders, attending discovery calls, crafting outreach strategies, and helping expand our client portfolio alongside our delivery excellence.
Delivery: you’ll lead searches for deeply technical roles across the data and AI spectrum. You’ll work closely with founders, CTOs, Talent Leaders and Hiring Managers to shape requirements, source exceptional talent, and close hires that genuinely change the trajectory of their company.
You’ll be hands-on, end-to-end, and outcome-driven:
- Partner with clients to deeply understand roles in AI, ML, data, infra and engineering
- Write world-class outreach that resonates with highly technical candidates
- Source and engage candidates from active and passive networks
- Run structured, efficient hiring processes that uphold an excellent candidate experience
- Collaborate closely with the Inara team on strategy, positioning and client delivery
- Stay sharp on developments in the AI/ML space tooling, market shifts, funding rounds, emerging talent trends
- Collaborate closely with the Inara team on strategy, positioning and delivery
- Proactively identify and build relationships with scaling tech companies in need of engineering hires
- Participate in (and eventually lead) client pitches, proposals, and long-term hiring roadmaps
What We’re Looking For:
- 2 – 5+ years of experience in technical hiring, ideally in AI, ML, Data Engineering, or adjacent fields
- You can speak credibly to engineers and understand the difference between an MLOps engineer and a research scientist
- You’ve worked in a startup, scale-up, or agency environment and know how to move fast without cutting corners
- You genuinely care about quality of candidates, of client experience, of communication
- You’re curious, switched-on, and thrive when given ownership
- Proactively identify and approach high-potential new clients including early-stage startups and scale-ups building in the AI/ML space
- Participate in (and eventually lead) discovery calls, proposals, and pitch conversations with new clients
- Work closely with leadership to help grow Inara’s client base and commercial footprint
Why Join Inara?
- You’ll work directly with startups, scale ups and/or businesses at the forefront of the new technology landscape
- You’ll get full autonomy to build your own desk, through client acquisition, events and running searches the way you know they should be done
- We’re small, sharp, and high-output, no egos, no fluff
- Competitive pay + performance-based commission up to 40%
- You will get access to some of the latest AI and Automation tools
- Hybrid working, with 2 to 3 days in the office per week
#behonest #becurious #behuman #beyourself
Technology Recruitment Consultant employer: Inara
Contact Detail:
Inara Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Technology Recruitment Consultant
✨Tip Number 1
Familiarise yourself with the latest trends in AI, ML, and data engineering. This knowledge will not only help you speak confidently during interviews but also demonstrate your genuine interest in the field, making you a more attractive candidate.
✨Tip Number 2
Network actively within the tech community, especially with professionals in AI and ML. Attend relevant meetups, webinars, or conferences to build connections that could lead to referrals or insider information about job openings.
✨Tip Number 3
Engage with Inara's online presence by following them on social media and participating in discussions. This shows your enthusiasm for the company and can help you stand out when applying for the Technology Recruitment Consultant role.
✨Tip Number 4
Prepare to discuss your previous experiences in technical hiring, focusing on specific roles you've filled in AI, ML, or data engineering. Be ready to share success stories that highlight your ability to understand complex technical requirements and deliver results.
We think you need these skills to ace Technology Recruitment Consultant
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in technology recruitment, particularly in AI, ML, and data engineering. Use specific examples to demonstrate your understanding of these fields and the roles you’ve successfully filled.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for technology recruitment and your ability to connect with technical candidates. Mention your experience in fast-paced environments and how you can contribute to Inara's mission of partnering with innovative tech companies.
Showcase Your Knowledge: In your application, include insights about current trends in AI and ML. This demonstrates your curiosity and understanding of the industry, which is crucial for a role that involves engaging with technical talent.
Highlight Your Communication Skills: Since the role involves client interaction and candidate engagement, emphasise your communication skills. Provide examples of how you've successfully managed relationships with clients or candidates in previous roles.
How to prepare for a job interview at Inara
✨Understand the Tech Landscape
Familiarise yourself with the latest trends in AI, ML, and data engineering. Being able to discuss current technologies and their applications will show your genuine interest and understanding of the field.
✨Prepare for Technical Conversations
Be ready to engage in discussions about technical roles and the specific skills required. Knowing the difference between roles like MLOps engineers and research scientists will help you connect better with the interviewers.
✨Showcase Your Recruitment Experience
Highlight your previous experience in technical hiring, especially if it relates to AI or ML. Share specific examples of successful placements and how you contributed to the hiring process.
✨Demonstrate Your Client Engagement Skills
Since the role involves client interaction, be prepared to discuss how you've built relationships with clients in the past. Share strategies you've used to understand their needs and deliver exceptional candidate experiences.
