Senior Recruiter

Boston Quantara
London
1 year ago
Applications closed

Related Jobs

View all jobs

Data Analyst – Automotive Industry

Senior Data Scientist - Research

Data Analyst – Transformation & Data Quality (Hybrid Edinburgh)

Senior AI & Data Science Recruiter — Global Roles & Travel

Senior Data Scientist

Senior Data Science Engineer

AI/IA Recruitment Consultant / USA Recruitment / AI Software / Intelligent Automation / AI Governance / Software / Automation / Machine Learning / Python / RPA / New York / Boston


Remote/ Hybrid | £40,000- £45,000 P/A Base plus Bonus


Boston Quantara- part of BGi- is on a mission to solve the Talent Expertise Crisis by partnering with Subject Matter Experts and jointly approaching clients at any stage of their AI/IA journey.

Our key markets are Artificial Intelligence/Intelligent Automation software and Data in Boston and New York and AI Governance across the UK and Northeast USA.


Due to the USA focus you will need to commit to 2-3 days a week working 12-9 but there will be fully funded trips to clients and candidates in the USA once established, there will also be relocation opportunities should that suit.


Our Recruiters get the best tech tools in the business, a hybrid way of working and a market leading commission structure 30% top tier commission no threshold!

This is a fantastic opportunity that offers the autonomy to shape and drive our AI/IA specialist division across the USA market


Benefits, Perks, and Workplace Culture:

  • No-threshold, uncapped commission structure.
  • Flexible & remote working: we’ve worked hard to build a culture of trust and empathy so that all of our employees can enjoy their lives both within and outside of their work and have the autonomy to decide where they work best.
  • Clear career mapping and pathways for progression from day 1.
  • Medical Cash Plan including health screening, dental cover, chiropractor, and more.
  • Company awards ceremony, held at a surprise location every year!
  • Quarterly High Performers Club and Top Biller lunches.
  • Ad hoc incentives, competitions, and prizes.
  • High street rewards, vouchers, and cashback.
  • Enhanced Maternity & Paternity leave.
  • Life Assurance & Death in Service cover.


What are we looking for?


AI/IA Recruitment Consultant Specification:

  • Business Development, client engagement and client management
  • Experience recruiting in the US market ideally within tech or sales.
  • Self starter with the ability to work independently
  • Screening candidates to qualify their relevance for the client and the requirement.
  • Providing exceptional customer service to your clients and candidates
  • Build a solid knowledge base within the industry.
  • Advertise vacancies and conduct searches on appropriate websites.
  • Keep all records accurate and current on the recruitment database.
  • Conduct telephone/face-to-face interviews with candidates.
  • Grow the company database of candidates and clients.
  • Monitor candidate’s performance for future placement with clients.
  • Strong administration and good organisational skills
  • Excellent communication skills - Phone and Written
  • Being able to work to tight deadlines.
  • Flexibility within the role


If you are considering a move into AI/IA recruitment in the USA or are an experienced recruitment consultant who has recruited in the US marketplace and are looking for a change, contact us today!


Boston Quantara - part of the BGI Group - offer unbeatable AI/IA and AI Governance services recruitment across public and private sectors

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Careers Jobs

Machine Learning Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Are you considering a career change into machine learning in your 30s, 40s or 50s? You’re not alone. In the UK, organisations across industries such as finance, healthcare, retail, government & technology are investing in machine learning to improve decisions, automate processes & unlock new insights. But with all the hype, it can be hard to tell which roles are real job opportunities and which are just buzzwords. This article gives you a practical, UK-focused reality check: which machine learning roles truly exist, what skills employers really hire for, how long retraining realistically takes, how to position your experience and whether age matters in your favour or not. Whether you come from analytics, engineering, operations, research, compliance or business strategy, there is a credible route into machine learning if you approach it strategically.

Jobs

How to Write a Machine Learning Job Ad That Attracts the Right People

Machine learning now sits at the heart of many UK organisations, powering everything from recommendation engines and fraud detection to forecasting, automation and decision support. As adoption grows, so does demand for skilled machine learning professionals. Yet many employers struggle to attract the right candidates. Machine learning job adverts often generate high volumes of applications, but few applicants have the blend of modelling skill, engineering awareness and real-world experience the role actually requires. Meanwhile, strong machine learning engineers and scientists quietly avoid adverts that feel vague, inflated or confused. In most cases, the issue is not the talent market — it is the job advert itself. Machine learning professionals are analytical, technically rigorous and highly selective. A poorly written job ad signals unclear expectations and low ML maturity. A well-written one signals credibility, focus and a serious approach to applied machine learning. This guide explains how to write a machine learning job ad that attracts the right people, improves applicant quality and strengthens your employer brand.

Education Jobs

Maths for Machine Learning Jobs: The Only Topics You Actually Need (& How to Learn Them)

Machine learning job adverts in the UK love vague phrases like “strong maths” or “solid fundamentals”. That can make the whole field feel gatekept especially if you are a career changer or a student who has not touched maths since A level. Here is the practical truth. For most roles on MachineLearningJobs.co.uk such as Machine Learning Engineer, Applied Scientist, Data Scientist, NLP Engineer, Computer Vision Engineer or MLOps Engineer with modelling responsibilities the maths you actually use is concentrated in four areas: Linear algebra essentials (vectors, matrices, projections, PCA intuition) Probability & statistics (uncertainty, metrics, sampling, base rates) Calculus essentials (derivatives, chain rule, gradients, backprop intuition) Basic optimisation (loss functions, gradient descent, regularisation, tuning) If you can do those four things well you can build models, debug training, evaluate properly, explain trade-offs & sound credible in interviews. This guide gives you a clear scope plus a six-week learning plan, portfolio projects & resources so you can learn with momentum rather than drowning in theory.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.